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Lyon GJ, Longo J, Garcia A, Inusa F, Marchi E, Shi D, Dörfel M, Arnesen T, Aldabe R, Lyons S, Nashat MA, Bolton D. Evaluating possible maternal effect lethality and genetic background effects in Naa10 knockout mice. PLoS One 2024; 19:e0301328. [PMID: 38713657 PMCID: PMC11075865 DOI: 10.1371/journal.pone.0301328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 03/14/2024] [Indexed: 05/09/2024] Open
Abstract
Amino-terminal (Nt-) acetylation (NTA) is a common protein modification, affecting approximately 80% of all human proteins. The human essential X-linked gene, NAA10, encodes for the enzyme NAA10, which is the catalytic subunit in the N-terminal acetyltransferase A (NatA) complex. There is extensive genetic variation in humans with missense, splice-site, and C-terminal frameshift variants in NAA10. In mice, Naa10 is not an essential gene, as there exists a paralogous gene, Naa12, that substantially rescues Naa10 knockout mice from embryonic lethality, whereas double knockouts (Naa10-/Y Naa12-/-) are embryonic lethal. However, the phenotypic variability in the mice is nonetheless quite extensive, including piebaldism, skeletal defects, small size, hydrocephaly, hydronephrosis, and neonatal lethality. Here we replicate these phenotypes with new genetic alleles in mice, but we demonstrate their modulation by genetic background and environmental effects. We cannot replicate a prior report of "maternal effect lethality" for heterozygous Naa10-/X female mice, but we do observe a small amount of embryonic lethality in the Naa10-/y male mice on the inbred genetic background in this different animal facility.
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Affiliation(s)
- Gholson J. Lyon
- Human Genetics Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
- Biology PhD Program, The Graduate Center, The City University of New York, New York, NY, United States of America
| | - Joseph Longo
- Human Genetics Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
| | - Andrew Garcia
- Human Genetics Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
- Biology PhD Program, The Graduate Center, The City University of New York, New York, NY, United States of America
| | - Fatima Inusa
- Human Genetics Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
| | - Elaine Marchi
- Human Genetics Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
| | - Daniel Shi
- Human Genetics Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
| | - Max Dörfel
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Woodbury, New York, United States of America
| | - Thomas Arnesen
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Biological Sciences, University of Bergen, Bergen, Norway
- Department of Surgery, Haukeland University Hospital, Bergen, Norway
| | - Rafael Aldabe
- Division of Gene Therapy and Regulation of Gene Expression, CIMA, University of Navarra, Pamplona, Spain
| | - Scott Lyons
- Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Woodbury, New York, United States of America
| | - Melissa A. Nashat
- Human Genetics Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
| | - David Bolton
- Molecular Biology Department, New York State Institute for Basic Research (IBR) in Developmental Disabilities, Staten Island, New York, United States of America
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2
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Kemp DJ, Wedell N. The quantitative genetic basis of variation in sexual versus non-sexual butterfly wing colouration: autosomal, Z-linked, and maternal effects. J Evol Biol 2024; 37:510-525. [PMID: 38567444 DOI: 10.1093/jeb/voae039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 02/05/2024] [Accepted: 04/01/2024] [Indexed: 04/04/2024]
Abstract
Viability indicator traits are expected to be integrated extensively across the genome yet sex-limited to ensure that any benefits are sexually concordant. Understanding how such expectations are accommodated requires elucidating the quantitative genetic architecture of candidate traits in and across the sexes. Here we applied an animal modelling approach to partition the autosomal, allosomal, and direct maternal bases of variation in sexual versus non-sexual dorsal wing colouration in the butterfly Eurema hecabe. The sexual colour trait-coherently scattered ultraviolet that is under strong directional selection due to female choice-is brighter and more expansive in males, and overlays non-sexual pigmentary yellow markings that otherwise dominate both wing surfaces in each sex. Our modelling estimated high and sexually equivalent autosomal variances for ultraviolet reflectance (furnishing h2 ~ 0.58 overall and ~0.75 in males), accompanied by smaller but generally significant Z-linked and maternal components. By contrast, variation in non-sexual yellow was largely attributed to Z-linked sources. Intersexual genetic correlations based upon the major source of variation in each trait were high and not different from 1.0, implying regulation by a pool of genes common to each sex. An expansive autosomal basis for ultraviolet is consistent with its hypothesized role as a genome-wide viability indicator and ensures that both sons and daughters will inherit their father's attractiveness.
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Affiliation(s)
- Darrell J Kemp
- School of Natural Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Nina Wedell
- Centre for Ecology and Conservation, Biosciences, University of Exeter, Cornwall TR10 9FE, United Kingdom
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3
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Lee W, Zamudio-Ochoa A, Buchel G, Podlesniy P, Marti Gutierrez N, Puigròs M, Calderon A, Tang HY, Li L, Mikhalchenko A, Koski A, Trullas R, Mitalipov S, Temiakov D. Molecular basis for maternal inheritance of human mitochondrial DNA. Nat Genet 2023; 55:1632-1639. [PMID: 37723262 PMCID: PMC10763495 DOI: 10.1038/s41588-023-01505-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 08/17/2023] [Indexed: 09/20/2023]
Abstract
Uniparental inheritance of mitochondrial DNA (mtDNA) is an evolutionary trait found in nearly all eukaryotes. In many species, including humans, the sperm mitochondria are introduced to the oocyte during fertilization1,2. The mechanisms hypothesized to prevent paternal mtDNA transmission include ubiquitination of the sperm mitochondria and mitophagy3,4. However, the causative mechanisms of paternal mtDNA elimination have not been defined5,6. We found that mitochondria in human spermatozoa are devoid of intact mtDNA and lack mitochondrial transcription factor A (TFAM)-the major nucleoid protein required to protect, maintain and transcribe mtDNA. During spermatogenesis, sperm cells express an isoform of TFAM, which retains the mitochondrial presequence, ordinarily removed upon mitochondrial import. Phosphorylation of this presequence prevents mitochondrial import and directs TFAM to the spermatozoon nucleus. TFAM relocalization from the mitochondria of spermatogonia to the spermatozoa nucleus directly correlates with the elimination of mtDNA, thereby explaining maternal inheritance in this species.
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Affiliation(s)
- William Lee
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Angelica Zamudio-Ochoa
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gina Buchel
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Petar Podlesniy
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona (IIBB-CSIC-IDIBAPS) and Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Nuria Marti Gutierrez
- Center for Embryonic Cell and Gene Therapy, Oregon Health & Science University, Portland, OR, USA
| | - Margalida Puigròs
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona (IIBB-CSIC-IDIBAPS) and Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Anna Calderon
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona (IIBB-CSIC-IDIBAPS) and Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Hsin-Yao Tang
- Molecular & Cellular Oncogenesis Program, The Wistar Institute, Philadelphia, PA, USA
| | - Li Li
- Department of Pathology and Genomic Medicine, Thomas Jefferson University, Philadelphia, PA, USA
| | - Aleksei Mikhalchenko
- Center for Embryonic Cell and Gene Therapy, Oregon Health & Science University, Portland, OR, USA
| | - Amy Koski
- Center for Embryonic Cell and Gene Therapy, Oregon Health & Science University, Portland, OR, USA
| | - Ramon Trullas
- Neurobiology Unit, Institut d'Investigacions Biomèdiques de Barcelona (IIBB-CSIC-IDIBAPS) and Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas (CIBERNED), Barcelona, Spain
| | - Shoukhrat Mitalipov
- Center for Embryonic Cell and Gene Therapy, Oregon Health & Science University, Portland, OR, USA
| | - Dmitry Temiakov
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA.
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4
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Zhang G, Cui C, Wangdue S, Lu H, Chen H, Xi L, He W, Yuan H, Tsring T, Chen Z, Yang F, Tsering T, Li S, Tashi N, Yang T, Tong Y, Wu X, Li L, He Y, Cao P, Dai Q, Liu F, Feng X, Wang T, Yang R, Ping W, Zhang M, Gao X, Liu Y, Wang W, Fu Q. Maternal genetic history of ancient Tibetans over the past 4000 years. J Genet Genomics 2023; 50:765-775. [PMID: 36933795 DOI: 10.1016/j.jgg.2023.03.007] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 03/14/2023] [Accepted: 03/14/2023] [Indexed: 03/17/2023]
Abstract
The settlement of the Tibetan Plateau epitomizes human adaptation to a high-altitude environment that poses great challenges to human activity. Here, we reconstruct a 4000-year maternal genetic history of Tibetans using 128 ancient mitochondrial genome data from 37 sites in Tibet. The phylogeny of haplotypes M9a1a, M9a1b, D4g2, G2a'c, and D4i show that ancient Tibetans share the most recent common ancestor with ancient Middle and Upper Yellow River populations around the Early and Middle Holocene. In addition, the connections between Tibetans and Northeastern Asians vary over the past 4000 years, with a stronger matrilineal connection between the two during 4000 BP-3000 BP, and a weakened connection after 3000 BP, that are coincident with climate change, followed by a reinforced connection after the Tubo period (1400 BP-1100 BP). Besides, an over 4000-year matrilineal continuity is observed in some of the maternal lineages. We also find the maternal genetic structure of ancient Tibetans is correlated to the geography and interactions between ancient Tibetans and ancient Nepal and Pakistan populations. Overall, the maternal genetic history of Tibetans can be characterized as a long-term matrilineal continuity with frequent internal and external population interactions that are dynamically shaped by geography, climate changes, as well as historical events.
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Affiliation(s)
- Ganyu Zhang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Can Cui
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shargan Wangdue
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Hongliang Lu
- Center for Archaeological Science, School of Archaeology and Museology, Sichuan University, Chengdu, Sichuan 610064, China
| | - Honghai Chen
- School of Cultural Heritage, Northwest University, Xi'an, Shaanxi 710069, China
| | - Lin Xi
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Wei He
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Haibing Yuan
- Center for Archaeological Science, School of Archaeology and Museology, Sichuan University, Chengdu, Sichuan 610064, China
| | - Tinley Tsring
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Zujun Chen
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Feng Yang
- Center for Archaeological Science, School of Archaeology and Museology, Sichuan University, Chengdu, Sichuan 610064, China
| | - Tashi Tsering
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Shuai Li
- Center for Archaeological Science, School of Archaeology and Museology, Sichuan University, Chengdu, Sichuan 610064, China
| | - Norbu Tashi
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Tsho Yang
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Yan Tong
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Xiaohong Wu
- School of Archaeology and Museology, Peking University, Beijing 100871, China
| | - Linhui Li
- Tibet Institute for Conservation and Research of Cultural Relics, Lhasa, Tibet 850000, China
| | - Yuanhong He
- Center for Archaeological Science, School of Archaeology and Museology, Sichuan University, Chengdu, Sichuan 610064, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Qingyan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Xiaotian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Tianyi Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ruowei Yang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Wanjing Ping
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Ming Zhang
- School of Cultural Heritage, Northwest University, Xi'an, Shaanxi 710069, China
| | - Xing Gao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
| | - Yichen Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China.
| | - Wenjun Wang
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; Science and Technology Archaeology, National Centre for Archaeology, Beijing 100013, China.
| | - Qiaomei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China; University of Chinese Academy of Sciences, Beijing 100049, China; Shanghai Qi Zhi Institute, Shanghai 200232, China.
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5
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Küry S, Zhang J, Besnard T, Caro-Llopis A, Zeng X, Robert SM, Josiah SS, Kiziltug E, Denommé-Pichon AS, Cogné B, Kundishora AJ, Hao LT, Li H, Stevenson RE, Louie RJ, Deb W, Torti E, Vignard V, McWalter K, Raymond FL, Rajabi F, Ranza E, Grozeva D, Coury SA, Blanc X, Brischoux-Boucher E, Keren B, Õunap K, Reinson K, Ilves P, Wentzensen IM, Barr EE, Guihard SH, Charles P, Seaby EG, Monaghan KG, Rio M, van Bever Y, van Slegtenhorst M, Chung WK, Wilson A, Quinquis D, Bréhéret F, Retterer K, Lindenbaum P, Scalais E, Rhodes L, Stouffs K, Pereira EM, Berger SM, Milla SS, Jaykumar AB, Cobb MH, Panchagnula S, Duy PQ, Vincent M, Mercier S, Gilbert-Dussardier B, Le Guillou X, Audebert-Bellanger S, Odent S, Schmitt S, Boisseau P, Bonneau D, Toutain A, Colin E, Pasquier L, Redon R, Bouman A, Rosenfeld JA, Friez MJ, Pérez-Peña H, Akhtar Rizvi SR, Haider S, Antonarakis SE, Schwartz CE, Martínez F, Bézieau S, Kahle KT, Isidor B. Rare pathogenic variants in WNK3 cause X-linked intellectual disability. Genet Med 2022; 24:1941-1951. [PMID: 35678782 DOI: 10.1016/j.gim.2022.05.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 02/08/2023] Open
Abstract
PURPOSE WNK3 kinase (PRKWNK3) has been implicated in the development and function of the brain via its regulation of the cation-chloride cotransporters, but the role of WNK3 in human development is unknown. METHOD We ascertained exome or genome sequences of individuals with rare familial or sporadic forms of intellectual disability (ID). RESULTS We identified a total of 6 different maternally-inherited, hemizygous, 3 loss-of-function or 3 pathogenic missense variants (p.Pro204Arg, p.Leu300Ser, p.Glu607Val) in WNK3 in 14 male individuals from 6 unrelated families. Affected individuals had ID with variable presence of epilepsy and structural brain defects. WNK3 variants cosegregated with the disease in 3 different families with multiple affected individuals. This included 1 large family previously diagnosed with X-linked Prieto syndrome. WNK3 pathogenic missense variants localize to the catalytic domain and impede the inhibitory phosphorylation of the neuronal-specific chloride cotransporter KCC2 at threonine 1007, a site critically regulated during the development of synaptic inhibition. CONCLUSION Pathogenic WNK3 variants cause a rare form of human X-linked ID with variable epilepsy and structural brain abnormalities and implicate impaired phospho-regulation of KCC2 as a pathogenic mechanism.
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Affiliation(s)
- Sébastien Küry
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France.
| | - Jinwei Zhang
- Hatherly Laboratories, The Institute of Biomedical and Clinical Sciences, College of Medicine and Health, University of Exeter, Exeter, United Kingdom; Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, CT; State Key Laboratory of Bio-Organic and Natural Products Chemistry, Research Center of Chemical Kinomics, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China
| | - Thomas Besnard
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | - Alfonso Caro-Llopis
- Unidad de Genética, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Xue Zeng
- Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT
| | - Stephanie M Robert
- Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT
| | - Sunday S Josiah
- Hatherly Laboratories, The Institute of Biomedical and Clinical Sciences, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Emre Kiziltug
- Department of Genetics, Yale School of Medicine, Yale University, New Haven, CT
| | - Anne-Sophie Denommé-Pichon
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire Angers, Angers, France; UMR CNRS 6214, INSERM 1083, Université d'Angers, Angers, France
| | - Benjamin Cogné
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | - Adam J Kundishora
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, CT
| | - Le T Hao
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, CT
| | - Hong Li
- Departments of Human Genetics and Pediatrics, School of Medicine, Emory University, Atlanta, GA
| | | | | | - Wallid Deb
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | | | - Virginie Vignard
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | | | - F Lucy Raymond
- Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Biomedical Campus Cambridge, Cambridge, United Kingdom
| | - Farrah Rajabi
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA
| | - Emmanuelle Ranza
- Medigenome, Swiss Institute of Genomic Medicine, Geneva, Switzerland
| | - Detelina Grozeva
- Department of Medical Genetics, Cambridge Institute for Medical Research, University of Cambridge, Biomedical Campus Cambridge, Cambridge, United Kingdom; Centre for Trials Research, Cardiff University, Cardiff, United Kingdom
| | - Stephanie A Coury
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA
| | - Xavier Blanc
- Medigenome, Swiss Institute of Genomic Medicine, Geneva, Switzerland
| | - Elise Brischoux-Boucher
- Centre de Génétique Humaine, CHU de Besançon, Université de Bourgogne Franche-Comté, Besançon, France
| | - Boris Keren
- Department of Genetics, Centre de Référence Déficiences Intellectuelles de Causes Rares, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Katrin Õunap
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, Tartu, Estonia; Department of Clinical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Karit Reinson
- Department of Clinical Genetics, Genetics and Personalized Medicine Clinic, Tartu University Hospital, Tartu, Estonia; Department of Clinical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia
| | - Pilvi Ilves
- Department of Clinical Genetics, Institute of Clinical Medicine, Faculty of Medicine, University of Tartu, Tartu, Estonia; Department of Radiology, Tartu University Hospital, Tartu, Estonia
| | | | - Eileen E Barr
- Departments of Human Genetics and Pediatrics, School of Medicine, Emory University, Atlanta, GA
| | - Solveig Heide Guihard
- Department of Genetics, Centre de Référence Déficiences Intellectuelles de Causes Rares, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France; Groupe de Recherche Clinique, Déficience Intellectuelle et Autisme, Sorbonne University, Paris, France
| | - Perrine Charles
- Department of Genetics, Centre de Référence Déficiences Intellectuelles de Causes Rares, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Eleanor G Seaby
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Genomic Informatics Group, University of Southampton, Southampton, United Kingdom
| | | | - Marlène Rio
- Developmental Brain Disorders laboratory, INSERM UMR 1163, Imagine Institute, University of Paris, Paris, France; Department of Genetics, Centre de Référence Déficiences Intellectuelles de Causes Rares, Necker Enfants Malades Hospital, APHP, Paris, France
| | - Yolande van Bever
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Marjon van Slegtenhorst
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University Irving Medical Center, Columbia University New York, NY
| | - Ashley Wilson
- Division of Clinical Genetics, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian Morgan Stanley Children's Hospital, New York, NY
| | - Delphine Quinquis
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France
| | - Flora Bréhéret
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France
| | | | - Pierre Lindenbaum
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | - Emmanuel Scalais
- Division of Pediatric Neurology, Department of Pediatrics, Centre Hospitalier de Luxembourg, Luxembourg City, Luxembourg
| | | | - Katrien Stouffs
- Neurogenetics Research Group, Reproduction and Genetics, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan, Brussels, Belgium
| | - Elaine M Pereira
- Division of Clinical Genetics, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian Morgan Stanley Children's Hospital, New York, NY
| | - Sara M Berger
- Division of Clinical Genetics, Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian Morgan Stanley Children's Hospital, New York, NY
| | - Sarah S Milla
- Department of Radiology and Imaging Sciences, School of Medicine, Emory University, Atlanta, GA
| | - Ankita B Jaykumar
- Department of Pharmacology, UT Southwestern Medical Center, Dallas, TX
| | - Melanie H Cobb
- Department of Pharmacology, UT Southwestern Medical Center, Dallas, TX
| | - Shreyas Panchagnula
- Unidad de Genética, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Phan Q Duy
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, CT
| | - Marie Vincent
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | - Sandra Mercier
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | | | | | | | - Sylvie Odent
- Service de Génétique Clinique, ERN ITHACA, CHU Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, IGDR UMR 6290 CNRS, INSERM, IGDR Univ Rennes, Rennes, France
| | - Sébastien Schmitt
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France
| | - Pierre Boisseau
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France
| | - Dominique Bonneau
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire Angers, Angers, France; UMR CNRS 6214, INSERM 1083, Université d'Angers, Angers, France
| | - Annick Toutain
- Unité de Génétique Médicale, Centre Hospitalier Régional Universitaire de Tours, France; Unité Mixte de Recherche 1253, iBrain, Université de Tours, Institut National de la Santé et de la Recherche Médicale, Tours, France
| | - Estelle Colin
- Département de Biochimie et Génétique, Centre Hospitalier Universitaire Angers, Angers, France; UMR CNRS 6214, INSERM 1083, Université d'Angers, Angers, France
| | - Laurent Pasquier
- Service de Génétique Clinique, ERN ITHACA, CHU Rennes, Rennes, France; Institut de Génétique et Développement de Rennes, IGDR UMR 6290 CNRS, INSERM, IGDR Univ Rennes, Rennes, France
| | - Richard Redon
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | - Arjan Bouman
- Department of Clinical Genetics, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | | | - Helena Pérez-Peña
- Department of Pharmaceutical and Biological Chemistry, UCL School of Pharmacy, University College London, London, United Kingdom
| | - Syed Raza Akhtar Rizvi
- Department of Pharmaceutical and Biological Chemistry, UCL School of Pharmacy, University College London, London, United Kingdom
| | - Shozeb Haider
- Department of Pharmaceutical and Biological Chemistry, UCL School of Pharmacy, University College London, London, United Kingdom; Centre for Advanced Research Computing, University College London, London, United Kingdom
| | - Stylianos E Antonarakis
- Medigenome, Swiss Institute of Genomic Medicine, Geneva, Switzerland; Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland; iGE3, Institute of Genetics and Genomics of Geneva, University of Geneva, Geneva, Switzerland
| | | | - Francisco Martínez
- Unidad de Genética, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Stéphane Bézieau
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
| | - Kristopher T Kahle
- Department of Neurosurgery, Yale School of Medicine, Yale University, New Haven, CT; Department of Cellular and Molecular Physiology, Yale School of Medicine, Yale University, New Haven, CT; NIH-Yale Centers for Mendelian Genomics, Yale School of Medicine, Yale University, New Haven, CT; Yale Stem Cell Center, Yale School of Medicine, Yale University, New Haven, CT.
| | - Bertrand Isidor
- Nantes Université, CHU Nantes, Service de Génétique Médicale, Nantes, France; Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France
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6
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Machens A, Lorenz K, Weber F, Dralle H. Sex differences in MEN 2A penetrance and expression according to parental inheritance. Eur J Endocrinol 2022; 186:469-476. [PMID: 35130180 DOI: 10.1530/eje-21-1086] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/07/2022] [Indexed: 11/08/2022]
Abstract
OBJECTIVE This study aimed to delineate the age-dependent clinical penetrance and expression of heterozygous rearranged during transfection (RET) missense mutations associated with multiple endocrine neoplasia 2A (MEN2A) according to parental inheritance. DESIGN This was an observational study of RET carriers operated for MEN2A-associated tumors between 1985 and 2021. METHODS Kaplan-Meier time-to-event and multivariable Cox proportional hazards regression analyses were performed on node metastases from medullary thyroid cancer, pheochromocytoma, bilateral pheochromocytoma, and primary hyperparathyroidism. RESULTS Some 405 (70.1%) of 578 patients carrying heterozygous MEN2A RET missense mutations had information about the parental inheritance of the trait. On Kaplan-Meier analysis, offspring who inherited the trait from the father developed node metastases (Plog-rank= 0.007), pheochromocytoma (Plog-rank= 0.029), bilateral pheochromocytoma (Plog-rank= 0.002), and primary hyperparathyroidism (Plog-rank= 0.018) at a significantly younger age than offspring who inherited the trait from the mother. On multivariable Cox regression, controlling for index status, offspring sex, and (where feasible) mutational risk, parental inheritance was consistently associated with each MEN2A-associated tumor (hazard ratios (HR) = 1.7-1.8 for the earlier manifestations node metastases and pheochromocytoma vs HR of 2.9-3.4 for the late manifestations bilateral pheochromocytoma and primary hyperparathyroidism). Herein, node metastases were 3.1- and 1.7-fold more closely associated with mutational risk (HR of 5.3 for high and 2.9 for moderate-high risk mutations vs low-moderate risk mutations) than parental inheritance (HR = 1.7). CONCLUSION These findings illustrate the importance of considering not just mutational risk but also parental inheritance when it comes to personalization of screening for and early detection of the various components of MEN2A-associated tumors.
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Affiliation(s)
- Andreas Machens
- Department of Visceral, Vascular and Endocrine Surgery, Medical Faculty, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Kerstin Lorenz
- Department of Visceral, Vascular and Endocrine Surgery, Medical Faculty, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Frank Weber
- Section of Endocrine Surgery, Department of General, Visceral and Transplantation Surgery, University of Duisburg-Essen, Essen, Germany
| | - Henning Dralle
- Department of Visceral, Vascular and Endocrine Surgery, Medical Faculty, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Section of Endocrine Surgery, Department of General, Visceral and Transplantation Surgery, University of Duisburg-Essen, Essen, Germany
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7
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Yueh WT, Singh VP, Gerton JL. Maternal Smc3 protects the integrity of the zygotic genome through DNA replication and mitosis. Development 2021; 148:dev199800. [PMID: 34935904 PMCID: PMC8722392 DOI: 10.1242/dev.199800] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 11/22/2021] [Indexed: 01/10/2023]
Abstract
Aneuploidy is frequently observed in oocytes and early embryos, begging the question of how genome integrity is monitored and preserved during this crucial period. SMC3 is a subunit of the cohesin complex that supports genome integrity, but its role in maintaining the genome during this window of mammalian development is unknown. We discovered that, although depletion of Smc3 following meiotic S phase in mouse oocytes allowed accurate meiotic chromosome segregation, adult females were infertile. We provide evidence that DNA lesions accumulated following S phase in SMC3-deficient zygotes, followed by mitosis with lagging chromosomes, elongated spindles, micronuclei, and arrest at the two-cell stage. Remarkably, although centromeric cohesion was defective, the dosage of SMC3 was sufficient to enable embryogenesis in juvenile mutant females. Our findings suggest that, despite previous reports of aneuploidy in early embryos, chromosome missegregation in zygotes halts embryogenesis at the two-cell stage. Smc3 is a maternal gene with essential functions in the repair of spontaneous damage associated with DNA replication and subsequent chromosome segregation in zygotes, making cohesin a key protector of the zygotic genome.
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Affiliation(s)
- Wei-Ting Yueh
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
| | | | - Jennifer L. Gerton
- Stowers Institute for Medical Research, Kansas City, MO 64110, USA
- Department of Biochemistry and Molecular Biology, University of Kansas Medical Center, Kansas City, KS 66160, USA
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8
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Ongaro L, Molinaro L, Flores R, Marnetto D, Capodiferro MR, Alarcón-Riquelme ME, Moreno-Estrada A, Mabunda N, Ventura M, Tambets K, Achilli A, Capelli C, Metspalu M, Pagani L, Montinaro F. Evaluating the Impact of Sex-Biased Genetic Admixture in the Americas through the Analysis of Haplotype Data. Genes (Basel) 2021; 12:genes12101580. [PMID: 34680976 PMCID: PMC8535939 DOI: 10.3390/genes12101580] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 01/30/2023] Open
Abstract
A general imbalance in the proportion of disembarked males and females in the Americas has been documented during the Trans-Atlantic Slave Trade and the Colonial Era and, although less prominent, more recently. This imbalance may have left a signature on the genomes of modern-day populations characterised by high levels of admixture. The analysis of the uniparental systems and the evaluation of continental proportion ratio of autosomal and X chromosomes revealed a general sex imbalance towards males for European and females for African and Indigenous American ancestries. However, the consistency and degree of this imbalance are variable, suggesting that other factors, such as cultural and social practices, may have played a role in shaping it. Moreover, very few investigations have evaluated the sex imbalance using haplotype data, containing more critical information than genotypes. Here, we analysed genome-wide data for more than 5000 admixed American individuals to assess the presence, direction and magnitude of sex-biased admixture in the Americas. For this purpose, we applied two haplotype-based approaches, ELAI and NNLS, and we compared them with a genotype-based method, ADMIXTURE. In doing so, besides a general agreement between methods, we unravelled that the post-colonial admixture dynamics show higher complexity than previously described.
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Affiliation(s)
- Linda Ongaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
- Correspondence:
| | - Ludovica Molinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
| | - Rodrigo Flores
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
| | - Davide Marnetto
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
| | - Marco R. Capodiferro
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, 27100 Pavia, Italy; (M.R.C.); (A.A.)
| | - Marta E. Alarcón-Riquelme
- Department of Medical Genomics, GENYO, Centro Pfizer—Universidad de Granada—Junta de Andalucía de Genómica e Investigación Oncológica, Av de la Ilustración 114, Parque Tecnológico de la Salud (PTS), 18016 Granada, Spain;
| | - Andrés Moreno-Estrada
- National Laboratory of Genomics for Biodiversity (LANGEBIO), CINVESTAV, Irapuato, Guanajuato 36821, Mexico;
| | - Nedio Mabunda
- Instituto Nacional de Saúde, Distrito de Marracuene, Estrada Nacional N°1, Província de Maputo, Maputo 1120, Mozambique;
| | - Mario Ventura
- Department of Biology-Genetics, University of Bari, 70126 Bari, Italy;
| | - Kristiina Tambets
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
| | - Alessandro Achilli
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, 27100 Pavia, Italy; (M.R.C.); (A.A.)
| | - Cristian Capelli
- Department of Zoology, University of Oxford, Oxford OX1 3SZ, UK;
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, 43124 Parma, Italy
| | - Mait Metspalu
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
| | - Luca Pagani
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
- Department of Biology, University of Padua, 35131 Padua, Italy
| | - Francesco Montinaro
- Estonian Biocentre, Institute of Genomics, University of Tartu, Riia 23b, 51010 Tartu, Estonia; (L.M.); (R.F.); (D.M.); (K.T.); (M.M.); (L.P.); (F.M.)
- Department of Biology-Genetics, University of Bari, 70126 Bari, Italy;
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Li YJ, Yu Y, Liu X, Zhang XS, Su YH. The Arabidopsis MATERNAL EFFECT EMBRYO ARREST45 protein modulates maternal auxin biosynthesis and controls seed size by inducing AINTEGUMENTA. Plant Cell 2021; 33:1907-1926. [PMID: 33730150 PMCID: PMC8290293 DOI: 10.1093/plcell/koab084] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Accepted: 03/10/2021] [Indexed: 05/18/2023]
Abstract
Seed size is a major factor determining crop yields that is controlled through the coordinated development of maternal and zygotic tissues. Here, we identified Arabidopsis MATERNAL EFFECT EMBRYO ARREST45 (MEE45) as a B3 transcription factor that controls cell proliferation and maternally regulates seed size through its transcriptional activation of AINTEGUMENTA (ANT) and its downstream control of auxin biosynthesis in the ovule integument. After characterizing reduced seed and organ size phenotypes in mee45 mutants and finding that overexpression of MEE45 causes oversized seeds, we discovered that the MEE45 protein can bind to the promoter region of the ANT locus and positively regulate its transcription. ANT in-turn activates the expression of auxin biosynthetic genes (e.g. YUCCA4) in the ovule integument. Our results thus illustrate mechanisms underlying maternal tissue-mediated regulation of seed size and suggest that MEE45 and its downstream components can be harnessed to develop higher-yielding crop varieties.
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Affiliation(s)
- Ying Ju Li
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai’an, 271018, Shandong, China
| | - Yang Yu
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai’an, 271018, Shandong, China
| | - Xiuying Liu
- Novogene Bioinformatics Institute, Beijing, 100020, China
| | - Xian Sheng Zhang
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai’an, 271018, Shandong, China
- Authors for Correspondence: ;
| | - Ying Hua Su
- State Key Laboratory of Crop Biology, College of Life Sciences, Shandong Agricultural University, Tai’an, 271018, Shandong, China
- Authors for Correspondence: ;
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10
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Fabry MH, Falconio FA, Joud F, Lythgoe EK, Czech B, Hannon GJ. Maternally inherited piRNAs direct transient heterochromatin formation at active transposons during early Drosophila embryogenesis. eLife 2021; 10:e68573. [PMID: 34236313 PMCID: PMC8352587 DOI: 10.7554/elife.68573] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 07/07/2021] [Indexed: 12/12/2022] Open
Abstract
The PIWI-interacting RNA (piRNA) pathway controls transposon expression in animal germ cells, thereby ensuring genome stability over generations. In Drosophila, piRNAs are intergenerationally inherited through the maternal lineage, and this has demonstrated importance in the specification of piRNA source loci and in silencing of I- and P-elements in the germ cells of daughters. Maternally inherited Piwi protein enters somatic nuclei in early embryos prior to zygotic genome activation and persists therein for roughly half of the time required to complete embryonic development. To investigate the role of the piRNA pathway in the embryonic soma, we created a conditionally unstable Piwi protein. This enabled maternally deposited Piwi to be cleared from newly laid embryos within 30 min and well ahead of the activation of zygotic transcription. Examination of RNA and protein profiles over time, and correlation with patterns of H3K9me3 deposition, suggests a role for maternally deposited Piwi in attenuating zygotic transposon expression in somatic cells of the developing embryo. In particular, robust deposition of piRNAs targeting roo, an element whose expression is mainly restricted to embryonic development, results in the deposition of transient heterochromatic marks at active roo insertions. We hypothesize that roo, an extremely successful mobile element, may have adopted a lifestyle of expression in the embryonic soma to evade silencing in germ cells.
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Affiliation(s)
- Martin H Fabry
- CRUK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Federica A Falconio
- CRUK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Fadwa Joud
- CRUK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Emily K Lythgoe
- CRUK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Benjamin Czech
- CRUK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
| | - Gregory J Hannon
- CRUK Cambridge Institute, University of Cambridge, Li Ka Shing CentreCambridgeUnited Kingdom
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11
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Zhang M, Chaney HL, Current JZ, Yao J. Identification of the core promoter of ZNFO, an oocyte-specific maternal effect gene in cattle. Gene 2021; 791:145717. [PMID: 33991649 DOI: 10.1016/j.gene.2021.145717] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 05/04/2021] [Accepted: 05/10/2021] [Indexed: 01/26/2023]
Abstract
ZNFO is a Krüppel-associated box (KRAB) containing zinc finger transcription factor, which is exclusively expressed in bovine oocytes. Previous studies have demonstrated that ZNFO possesses an intrinsic transcriptional repressive activity and is essential for early embryonic development in cattle. However, the mechanisms regulating ZNFO transcription remain elusive. In the present study, the core promoter that controls the ZNFO basal transcription was identified. A 1.7 kb 5' regulatory region of the ZNFO gene was cloned and its promoter activity was confirmed by a luciferase reporter assay. A series of 5' deletion in the ZNFO promoter followed by luciferase reporter assays indicated that the core promoter region has to include the sequence located within 57 bp to 31 bp upstream of the transcription start site. Sequence analysis revealed that a putative USF1/USF2 binding site (GGTCACGTGACC) containing an E-box motif (CACGTG) is located within the essential region. Depletion of USF1/USF2 by RNAi and E-box mutation analysis demonstrated that the USF1/USF2 binding site is required for the ZNFO basal transcription. Furthermore, EMSA and super-shift assays indicated that the observed effects are dependent on the specific interactions between USF proteins and the ZNFO core promoter. From these results, it is concluded that USF1 and USF2 are essential for the basal transcription of the ZNFO gene.
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Affiliation(s)
- Mingxiang Zhang
- Laboratory of Animal Biotechnology and Genomics, Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506, USA
| | - Heather L Chaney
- Laboratory of Animal Biotechnology and Genomics, Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506, USA
| | - Jaelyn Z Current
- Laboratory of Animal Biotechnology and Genomics, Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506, USA
| | - Jianbo Yao
- Laboratory of Animal Biotechnology and Genomics, Division of Animal and Nutritional Sciences, West Virginia University, Morgantown, WV 26506, USA.
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12
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Kim Y, Balbona JV, Keller MC. Bias and Precision of Parameter Estimates from Models Using Polygenic Scores to Estimate Environmental and Genetic Parental Influences. Behav Genet 2021; 51:279-288. [PMID: 33301082 PMCID: PMC8093160 DOI: 10.1007/s10519-020-10033-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 11/20/2020] [Indexed: 01/27/2023]
Abstract
In a companion paper Balbona et al. (Behav Genet, in press), we introduced a series of causal models that use polygenic scores from transmitted and nontransmitted alleles, the offspring trait, and parental traits to estimate the variation due to the environmental influences the parental trait has on the offspring trait (vertical transmission) as well as additive genetic effects. These models also estimate and account for the gene-gene and gene-environment covariation that arises from assortative mating and vertical transmission respectively. In the current study, we simulated polygenic scores and phenotypes of parents and offspring under genetic and vertical transmission scenarios, assuming two types of assortative mating. We instantiated the models from our companion paper in the OpenMx software, and compared the true values of parameters to maximum likelihood estimates from models fitted on the simulated data to quantify the bias and precision of estimates. We show that parameter estimates from these models are unbiased when assumptions are met, but as expected, they are biased to the degree that assumptions are unmet. Standard errors of the estimated variances due to vertical transmission and to genetic effects decrease with increasing sample sizes and with increasing [Formula: see text] values of the polygenic score. Even when the polygenic score explains a modest amount of trait variation ([Formula: see text]), standard errors of these standardized estimates are reasonable ([Formula: see text]) for [Formula: see text] trios, and can even be reasonable for smaller sample sizes (e.g., down to 4K) when the polygenic score is more predictive. These causal models offer a novel approach for understanding how parents influence their offspring, but their use requires polygenic scores on relevant traits that are modestly predictive (e.g., [Formula: see text] as well as datasets with genomic and phenotypic information on parents and offspring. The utility of polygenic scores for elucidating parental influences should thus serve as additional motivation for large genomic biobanks to perform GWAS's on traits that may be relevant to parenting and to oversample close relatives, particularly parents and offspring.
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Affiliation(s)
- Yongkang Kim
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, USA.
| | - Jared V Balbona
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, USA
- Department of Psychology & Neuroscience, University of Colorado at Boulder, Boulder, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado at Boulder, Boulder, USA.
- Department of Psychology & Neuroscience, University of Colorado at Boulder, Boulder, USA.
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13
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Liu JY, Sheng ZW, Hu YQ, Liu Q, Qiang S, Song XL, Liu B. Fitness of F1 hybrids between 10 maternal wild soybean populations and transgenic soybean. Transgenic Res 2021; 30:105-119. [PMID: 33400167 PMCID: PMC7854435 DOI: 10.1007/s11248-020-00230-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 12/08/2020] [Indexed: 11/05/2022]
Abstract
The releasing of transgenic soybeans (Glycine max (L.) Merr.) into farming systems raises concerns that transgenes might escape from the soybeans via pollen into their endemic wild relatives, the wild soybean (Glycine soja Sieb. et Zucc.). The fitness of F1 hybrids obtained from 10 wild soybean populations collected from China and transgenic glyphosate-resistant soybean was measured without weed competition, as well as one JLBC-1 F1 hybrid under weed competition. All crossed seeds emerged at a lower rate from 13.33-63.33%. Compared with those of their wild progenitors, most F1 hybrids were shorter, smaller, and with decreased aboveground dry biomass, pod number, and 100-seed weight. All F1 hybrids had lower pollen viability and filled seeds per plant. Finally, the composite fitness of nine F1 hybrids was significantly lower. One exceptional F1 hybrid was IMBT F1, in which the composite fitness was 1.28, which was similar to that of its wild progenitor due to the similarities in pod number, increased aboveground dry biomass, and 100-seed weight. Under weed competition, plant height, aboveground dry biomass, pod number per plant, filled seed number per plant, and 100-seed weight of JLBC-1 F1 were lower than those of the wild progenitor JLBC-1. JLBC-1 F1 hybrids produced 60 filled seeds per plant. Therefore, F1 hybrids could emerge and produce offspring. Thus, effective measures should be taken to prevent gene flow from transgenic soybean to wild soybean to avoid the production F1 hybrids when releasing transgenic soybean in fields in the future.
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Affiliation(s)
- Jin Yue Liu
- Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Ze Wen Sheng
- Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Yu Qi Hu
- Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Qi Liu
- Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Sheng Qiang
- Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
| | - Xiao Ling Song
- Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China.
| | - Biao Liu
- Weed Research Laboratory, College of Life Sciences, Nanjing Agricultural University, Nanjing, 210095, Jiangsu Province, China
- Ministry of Ecology and Environment, Nanjing Institute of Environmental Sciences, Nanjing, 210042, People's Republic of China
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14
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Tigreros N, Agrawal AA, Thaler JS. Genetic Variation in Parental Effects Contributes to the Evolutionary Potential of Prey Responses to Predation Risk. Am Nat 2021; 197:164-175. [PMID: 33523783 DOI: 10.1086/712341] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
AbstractDespite the ubiquity of parental effects and their potential effect on evolutionary dynamics, their contribution to the evolution of predator-prey interactions remains poorly understood. Using quantitative genetics, here we demonstrate that parental effects substantially contribute to the evolutionary potential of larval antipredator responses in a leaf beetle (Leptinotarsa decemlineata). Previous research showed that larger L. decemlineata larvae elicit stronger antipredator responses, and mothers perceiving predators improved offspring responses by increasing intraclutch cannibalism-an extreme form of offspring provisioning. We now report substantial additive genetic variation underlying maternal ability to induce intraclutch cannibalism, indicating the potential of this adaptive maternal effect to evolve by natural selection. We also show that paternal size, a heritable trait, affected larval responses to predation risk but that larval responses themselves had little additive genetic variation. Together, these results demonstrate how larval responses to predation risk can evolve via two types of parental effects, both of which provide indirect sources of genetic variation for offspring traits.
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15
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Wakabayashi M, Tamura S, Kanzaki S, Kosugi M, Yoshimura Y, Ito T, Nagata K, Sato K, Takada S, Sekita Y, Kimura T. Five multicopy gene family genes expressed during the maternal-to-zygotic transition are not essential for mouse development. Biochem Biophys Res Commun 2021; 534:752-757. [PMID: 33162025 DOI: 10.1016/j.bbrc.2020.11.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 11/01/2020] [Indexed: 12/21/2022]
Abstract
Upon fertilization, oocytes transform into totipotent and pluripotent cleavage stage cells through the maternal-to-zygotic transition (MZT), which is regulated by maternal factors and zygotic genome activation (ZGA). Here, we investigated the in vivo function of 16 genes expressed with strong biases in oocytes and cleavage stage embryos by generating knockout (KO) mice. These MZT-associated genes are conserved across many mammalian species and include five multicopy gene family genes: the Nlrp9, Khdc1, Rfpl4, Trim43, and Zscan5 genes. Intercrosses between female KO and male KO mice, including Nlrp9a/b/c triple KO (TKO), Khdc1a/b/c TKO, Rfpl4a/b double KO (DKO), Trim43a/b/c TKO, and Zscan5b KO mice led to the birth to healthy offspring that in turn produced healthy offspring. Our study not only demonstrated that these MZT-associated genes are not essential for mouse development, but also provides valuable resources for analyzing the functions of these genes in other genetic backgrounds, in the presence of stressors, and under pathogenic conditions.
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Affiliation(s)
- Mizuki Wakabayashi
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Shiori Tamura
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Satoko Kanzaki
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Mayuko Kosugi
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Yuki Yoshimura
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Toshiaki Ito
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Kei Nagata
- School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Kazuha Sato
- School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Shuji Takada
- Department of Systems BioMedicine, National Research Institute for Child Health and Development, 2-10-1, Okura, Setagaya-ku, Tokyo, 157-8535, Japan
| | - Yoichi Sekita
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan
| | - Tohru Kimura
- Laboratory of Stem Cell Biology, Graduate School of Science, Japan; School of Science, Kitasato University, 1-15-1, Kitasato, Minami-ku, Sagamihara, Kanagawa, 252-0373, Japan.
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16
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Dell AC, Curry MC, Yarnell KM, Starbuck GR, Wilson PB. Mitochondrial D-loop sequence variation and maternal lineage in the endangered Cleveland Bay horse. PLoS One 2020; 15:e0243247. [PMID: 33270708 PMCID: PMC7714183 DOI: 10.1371/journal.pone.0243247] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 11/17/2020] [Indexed: 11/19/2022] Open
Abstract
Genetic diversity and maternal ancestry line relationships amongst a sample of 96 Cleveland Bay horses were investigated using a 479bp length of mitochondrial D-loop sequence. The analysis yielded at total of 11 haplotypes with 27 variable positions, all of which have been described in previous equine mitochondrial DNA d-loop studies. Four main haplotype clusters were present in the Cleveland Bay breed describing 89% of the total sample. This suggests that only four principal maternal ancestry lines exist in the present-day global Cleveland Bay population. Comparison of these sequences with other domestic horse haplotypes (Fig 2) shows a close association of the Cleveland Bay horse with Northern European (Clade C), Iberian (Clade A) and North African (Clade B) horse breeds. This indicates that the Cleveland Bay horse may not have evolved exclusively from the now extinct Chapman horse, as previous work as suggested. The Cleveland Bay horse remains one of only five domestic horse breeds classified as Critical on the Rare Breeds Survival Trust (UK) Watchlist and our results provide important information on the origins of this breed and represent a valuable tool for conservation purposes.
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Affiliation(s)
- Andy C. Dell
- Department of Biological Sciences, University of Lincoln, Lincoln, United Kingdom
- Rare Breeds Survival Trust, Stoneleigh, Warwickshire, United Kingdom
- * E-mail: (ACD); (PBW)
| | - Mark C. Curry
- Department of Biological Sciences, University of Lincoln, Lincoln, United Kingdom
| | - Kelly M. Yarnell
- School of Animal, Rural and Environmental Sciences, Brackenhurst Campus, Nottingham Trent University, Southwell, Nottinghamshire, United Kingdom
| | - Gareth R. Starbuck
- School of Animal, Rural and Environmental Sciences, Brackenhurst Campus, Nottingham Trent University, Southwell, Nottinghamshire, United Kingdom
| | - Philippe B. Wilson
- Rare Breeds Survival Trust, Stoneleigh, Warwickshire, United Kingdom
- School of Animal, Rural and Environmental Sciences, Brackenhurst Campus, Nottingham Trent University, Southwell, Nottinghamshire, United Kingdom
- * E-mail: (ACD); (PBW)
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17
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Hsu CN, Yang HW, Hou CY, Chang-Chien GP, Lin S, Tain YL. Maternal Adenine-Induced Chronic Kidney Disease Programs Hypertension in Adult Male Rat Offspring: Implications of Nitric Oxide and Gut Microbiome Derived Metabolites. Int J Mol Sci 2020; 21:ijms21197237. [PMID: 33008046 PMCID: PMC7583952 DOI: 10.3390/ijms21197237] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 09/27/2020] [Accepted: 09/27/2020] [Indexed: 12/26/2022] Open
Abstract
Maternal chronic kidney disease (CKD) during pregnancy causes adverse fetal programming. Nitric oxide (NO) deficiency, gut microbiota dysbiosis, and dysregulated renin-angiotensin system (RAS) during pregnancy are linked to the development of hypertension in adult offspring. We examined whether maternal adenine-induced CKD can program hypertension and kidney disease in adult male offspring. We also aimed to identify potential mechanisms, including alterations of gut microbiota composition, increased trimethylamine-N-oxide (TMAO), reduced NO bioavailability, and dysregulation of the RAS. To construct a maternal CKD model, female Sprague-Dawley rats received regular chow (control group) or chow supplemented with 0.5% adenine (CKD group) for 3 weeks before pregnancy. Mother rats were sacrificed on gestational day 21 to analyze placentas and fetuses. Male offspring (n = 8/group) were sacrificed at 12 weeks of age. Adenine-fed rats developed renal dysfunction, glomerular and tubulointerstitial damage, hypertension, placental abnormalities, and reduced fetal weights. Additionally, maternal adenine-induced CKD caused hypertension and renal hypertrophy in adult male offspring. These adverse pregnancy and offspring outcomes are associated with alterations of gut microbiota composition, increased uremic toxin asymmetric and symmetric dimethylarginine (ADMA and SDMA), increased microbiota-derived uremic toxin TMAO, reduced microbiota-derived metabolite acetate and butyrate levels, and dysregulation of the intrarenal RAS. Our results indicated that adenine-induced maternal CKD could be an appropriate model for studying uremia-related adverse pregnancy and offspring outcomes. Targeting NO pathway, microbiota metabolite TMAO, and the RAS might be potential therapeutic strategies to improve maternal CKD-induced adverse pregnancy and offspring outcomes.
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Affiliation(s)
- Chien-Ning Hsu
- Department of Pharmacy, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 833, Taiwan;
- School of Pharmacy, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Hung-Wei Yang
- Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 804, Taiwan;
| | - Chih-Yao Hou
- Department of Seafood Science, National Kaohsiung University of Science and Technology, Kaohsiung 811, Taiwan;
| | - Guo-Ping Chang-Chien
- Center for Environmental Toxin and Emerging-Contaminant Research, Cheng Shiu University, Kaohsiung 833, Taiwan; (G.-P.C.-C.); (S.L.)
- Super Micro Mass Research and Technology Center, Cheng Shiu University, Kaohsiung 833, Taiwan
| | - Sufan Lin
- Center for Environmental Toxin and Emerging-Contaminant Research, Cheng Shiu University, Kaohsiung 833, Taiwan; (G.-P.C.-C.); (S.L.)
- Super Micro Mass Research and Technology Center, Cheng Shiu University, Kaohsiung 833, Taiwan
| | - You-Lin Tain
- Department of Pediatrics, Kaohsiung Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Kaohsiung 833, Taiwan
- Institute for Translational Research in Biomedicine, College of Medicine, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University, Kaohsiung 833, Taiwan
- Correspondence: ; Tel.: +88-(697)-5056995; Fax: +88-(67)-7338009
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18
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Cubellis MV, Pignata L, Verma A, Sparago A, Del Prete R, Monticelli M, Calzari L, Antona V, Melis D, Tenconi R, Russo S, Cerrato F, Riccio A. Loss-of-function maternal-effect mutations of PADI6 are associated with familial and sporadic Beckwith-Wiedemann syndrome with multi-locus imprinting disturbance. Clin Epigenetics 2020; 12:139. [PMID: 32928291 PMCID: PMC7489023 DOI: 10.1186/s13148-020-00925-2] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 08/25/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND PADI6 is a component of the subcortical maternal complex, a group of proteins that is abundantly expressed in the oocyte cytoplasm, but is required for the correct development of early embryo. Maternal-effect variants of the subcortical maternal complex proteins are associated with heterogeneous diseases, including female infertility, hydatidiform mole, and imprinting disorders with multi-locus imprinting disturbance. While the involvement of PADI6 in infertility is well demonstrated, its role in imprinting disorders is less well established. RESULTS We have identified by whole-exome sequencing analysis four cases of Beckwith-Wiedemann syndrome with multi-locus imprinting disturbance whose mothers are carriers of PADI6 variants. In silico analysis indicates that these variants result in loss of function, and segregation analysis suggests they act as either recessive or dominant-negative maternal-effect mutations. Genome-wide methylation analysis revealed heterogeneous and extensively altered methylation profiles of imprinted loci in the patients, including two affected sisters, but not in their healthy siblings. CONCLUSION Our results firmly establish the role of PADI6 in imprinting disorders. We report loss-of-function maternal-effect variants of PADI6 that are associated with heterogeneous multi-locus imprinting disturbances in the progeny. The rare finding of two siblings affected by Beckwith-Wiedemann syndrome suggests that in some cases, familial recurrence risk of these variants may be high. However, the heterogeneous phenotypes of the other pedigrees suggest that altered oocyte PADI6 function results in stochastic maintenance of methylation imprinting with unpredictable consequences on early embryo health.
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Affiliation(s)
| | - Laura Pignata
- Department of Environmental Biological and Pharmaceutical Sciences and Technologies (DiSTABiF), Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy
| | - Ankit Verma
- Department of Environmental Biological and Pharmaceutical Sciences and Technologies (DiSTABiF), Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy
- Institute of Genetics and Biophysics (IGB) "Adriano Buzzati-Traverso", Consiglio Nazionale delle Ricerche (CNR), Naples, Italy
| | - Angela Sparago
- Department of Environmental Biological and Pharmaceutical Sciences and Technologies (DiSTABiF), Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy
| | - Rosita Del Prete
- Department of Environmental Biological and Pharmaceutical Sciences and Technologies (DiSTABiF), Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy
| | - Maria Monticelli
- Department of Biology, Università degli Studi di Napoli "Federico II", Napoli, Italy
| | - Luciano Calzari
- Medical Cytogenetics and Molecular Genetics Laboratory, Centro di Ricerche e Tecnologie Biomediche IRCCS, Istituto Auxologico Italiano, Milan, Italy
| | - Vincenzo Antona
- Department of Sciences for Health Promotion and Mother and Child Care "G. D'Alessandro", University of Palermo, Palermo, Italy
| | - Daniela Melis
- Medical, Surgical, and Dental Department, Università degli Studi di Salerno, Salerno, Italy
| | - Romano Tenconi
- Department of Pediatrics, Clinical Genetics, Università di Padova, Padova, Italy
| | - Silvia Russo
- Medical Cytogenetics and Molecular Genetics Laboratory, Centro di Ricerche e Tecnologie Biomediche IRCCS, Istituto Auxologico Italiano, Milan, Italy
| | - Flavia Cerrato
- Department of Environmental Biological and Pharmaceutical Sciences and Technologies (DiSTABiF), Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy.
| | - Andrea Riccio
- Department of Environmental Biological and Pharmaceutical Sciences and Technologies (DiSTABiF), Università degli Studi della Campania "Luigi Vanvitelli", Caserta, Italy.
- Institute of Genetics and Biophysics (IGB) "Adriano Buzzati-Traverso", Consiglio Nazionale delle Ricerche (CNR), Naples, Italy.
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19
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Uittenbogaard M, Chiaramello A. Maternally inherited mitochondrial respiratory disorders: from pathogenetic principles to therapeutic implications. Mol Genet Metab 2020; 131:38-52. [PMID: 32624334 PMCID: PMC7749081 DOI: 10.1016/j.ymgme.2020.06.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/22/2020] [Accepted: 06/23/2020] [Indexed: 01/19/2023]
Abstract
Maternally inherited mitochondrial respiratory disorders are rare, progressive, and multi-systemic diseases that remain intractable, with no effective therapeutic interventions. Patients share a defective oxidative phosphorylation pathway responsible for mitochondrial ATP synthesis, in most cases due to pathogenic mitochondrial variants transmitted from mother to child or to a rare de novo mutation or large-scale deletion of the mitochondrial genome. The clinical diagnosis of these mitochondrial diseases is difficult due to exceptionally high clinical variability, while their genetic diagnosis has improved with the advent of next-generation sequencing. The mechanisms regulating the penetrance of the mitochondrial variants remain unresolved with the patient's nuclear background, epigenomic regulation, heteroplasmy, mitochondrial haplogroups, and environmental factors thought to act as rheostats. The lack of animal models mimicking the phenotypic manifestations of these disorders has hampered efforts toward curative therapies. Patient-derived cellular paradigms provide alternative models for elucidating the pathogenic mechanisms and screening pharmacological small molecules to enhance mitochondrial function. Recent progress has been made in designing promising approaches to curtail the negative impact of dysfunctional mitochondria and alleviate clinical symptoms: 1) boosting mitochondrial biogenesis; 2) shifting heteroplasmy; 3) reprogramming metabolism; and 4) administering hypoxia-based treatment. Here, we discuss their varying efficacies and limitations and provide an outlook on their therapeutic potential and clinical application.
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Affiliation(s)
- Martine Uittenbogaard
- George Washington University School of Medicine and Health Sciences, Department of Anatomy and Cell Biology, 2300 I Street N.W., Washington, DC 20037, USA
| | - Anne Chiaramello
- George Washington University School of Medicine and Health Sciences, Department of Anatomy and Cell Biology, 2300 I Street N.W., Washington, DC 20037, USA.
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20
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Abstract
Parental high-fat diet (HFD) programs for obesity and hypertension in female offspring in rats, but it is unknown how the pregnancies of these offspring are impacted. Therefore, the hypothesis was tested that parental HFD exaggerates obesity and hypertension during pregnancy of the offspring. Wistar Hannover rat dams (the parental, P generation) were maintained on normal-fat diet (NFD) or HFD from weaning and were kept on respective diets through pregnancy and lactation. Their offspring (the first filial, F1 generation) were weaned onto the same diet as the P generation, or they were changed to the other diet to determine if combined HFD in the P and F1 generations exaggerates body weight and blood pressure levels during pregnancy in these offspring. This diet paradigm resulted in the following groups of pregnant F1 offspring: P-NFD/F1-NFD, P-HFD/F1-NFD, P-NFD/F1-HFD, and P-HFD/F1-HFD. Maternal body and adipose tissue weights were greatest in the P-HFD/F1-HFD group compared to the other 3 groups by the end of pregnancy. Plasma leptin and conscious mean arterial blood pressure were not significantly different between any group, although there was a main effect for increased blood pressure in the F1-HFD groups. Circulating levels of the antihypertensive pregnancy factor, placental growth factor (PlGF), were assessed. Although average PlGF levels were similar among all groups, correlative studies revealed that lower levels of PlGF were associated with higher blood pressure only in the P-HFD/F1-HFD group. In summary, HFD feeding from the P generation exaggerated HFD-induced body and adipose tissue weights in the pregnant offspring.
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Affiliation(s)
- Frank T. Spradley
- Department of Surgery, University of Mississippi Medical Center, Jackson, MS, United States of America
- * E-mail:
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21
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Blunk I, Thomsen H, Reinsch N, Mayer M, Försti A, Sundquist J, Sundquist K, Hemminki K. Genomic imprinting analyses identify maternal effects as a cause of phenotypic variability in type 1 diabetes and rheumatoid arthritis. Sci Rep 2020; 10:11562. [PMID: 32665606 PMCID: PMC7360775 DOI: 10.1038/s41598-020-68212-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/18/2020] [Indexed: 02/08/2023] Open
Abstract
Imprinted genes, giving rise to parent-of-origin effects (POEs), have been hypothesised to affect type 1 diabetes (T1D) and rheumatoid arthritis (RA). However, maternal effects may also play a role. By using a mixed model that is able to simultaneously consider all kinds of POEs, the importance of POEs for the development of T1D and RA was investigated in a variance components analysis. The analysis was based on Swedish population-scale pedigree data. With P = 0.18 (T1D) and P = 0.26 (RA) imprinting variances were not significant. Explaining up to 19.00% (± 2.00%) and 15.00% (± 6.00%) of the phenotypic variance, the maternal environmental variance was significant for T1D (P = 1.60 × 10-24) and for RA (P = 0.02). For the first time, the existence of maternal genetic effects on RA was indicated, contributing up to 16.00% (± 3.00%) of the total variance. Environmental factors such as the social economic index, the number of offspring, birth year as well as their interactions with sex showed large effects.
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Affiliation(s)
- Inga Blunk
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany.
| | - Hauke Thomsen
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- GeneWerk GmbH, Heidelberg, Germany
| | - Norbert Reinsch
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany
| | - Manfred Mayer
- Institute of Genetics and Biometry, Leibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196, Dummerstorf, Germany
| | - Asta Försti
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Jan Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA
- Center for Community-Based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Izumo, Japan
| | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Department of Family Medicine and Community Health, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, USA
- Center for Community-Based Healthcare Research and Education (CoHRE), Department of Functional Pathology, School of Medicine, Shimane University, Izumo, Japan
| | - Kari Hemminki
- Division of Molecular Genetic Epidemiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, Pilsen, Czech Republic
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22
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Bellafante E, McIlvride S, Nikolova V, Fan HM, Manna LB, Chambers J, Machirori M, Banerjee A, Murphy K, Martineau M, Schoonjans K, Marschall HU, Jones P, Williamson C. Maternal glucose homeostasis is impaired in mouse models of gestational cholestasis. Sci Rep 2020; 10:11523. [PMID: 32661285 PMCID: PMC7359298 DOI: 10.1038/s41598-020-67968-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/28/2020] [Indexed: 12/13/2022] Open
Abstract
Women with intrahepatic cholestasis of pregnancy (ICP), a disorder characterised by raised serum bile acids, are at increased risk of developing gestational diabetes mellitus and have impaired glucose tolerance whilst cholestatic. FXR and TGR5 are modulators of glucose metabolism, and FXR activity is reduced in normal pregnancy, and further in ICP. We aimed to investigate the role of raised serum bile acids, FXR and TGR5 in gestational glucose metabolism using mouse models. Cholic acid feeding resulted in reduced pancreatic β-cell proliferation and increased apoptosis in pregnancy, without altering insulin sensitivity, suggesting that raised bile acids affect β-cell mass but are insufficient to impair glucose tolerance. Conversely, pregnant Fxr-/- and Tgr5-/- mice are glucose intolerant and have reduced insulin secretion in response to glucose challenge, and Fxr-/- mice are also insulin resistant. Furthermore, fecal bile acids are reduced in pregnant Fxr-/- mice. Lithocholic acid and deoxycholic acid, the principal ligands for TGR5, are decreased in particular. Therefore, we propose that raised serum bile acids and reduced FXR and TGR5 activity contribute to the altered glucose metabolism observed in ICP.
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MESH Headings
- Animals
- Bile Acids and Salts/blood
- Cholestasis, Intrahepatic/blood
- Cholestasis, Intrahepatic/genetics
- Cholestasis, Intrahepatic/metabolism
- Cholestasis, Intrahepatic/pathology
- Diabetes, Gestational/blood
- Diabetes, Gestational/genetics
- Diabetes, Gestational/metabolism
- Diabetes, Gestational/pathology
- Disease Models, Animal
- Female
- Glucose/metabolism
- Glucose Intolerance/genetics
- Glucose Intolerance/metabolism
- Glucose Intolerance/pathology
- Homeostasis/genetics
- Humans
- Insulin Resistance/genetics
- Insulin-Secreting Cells/metabolism
- Insulin-Secreting Cells/pathology
- Maternal Inheritance/genetics
- Mice
- Pregnancy
- Pregnancy Complications/blood
- Pregnancy Complications/genetics
- Pregnancy Complications/metabolism
- Pregnancy Complications/pathology
- Receptors, Cytoplasmic and Nuclear/genetics
- Receptors, G-Protein-Coupled/genetics
- Risk Factors
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Affiliation(s)
- Elena Bellafante
- School of Life Course Sciences, King's College London, London, UK
| | - Saraid McIlvride
- School of Life Course Sciences, King's College London, London, UK
| | - Vanya Nikolova
- School of Life Course Sciences, King's College London, London, UK
| | - Hei Man Fan
- School of Life Course Sciences, King's College London, London, UK
| | | | - Jenny Chambers
- School of Life Course Sciences, King's College London, London, UK
- Women's Health Research Centre, Imperial College London, London, UK
| | - Mavis Machirori
- Women's Health Research Centre, Imperial College London, London, UK
| | | | - Kevin Murphy
- Department of Medicine, Imperial College London, London, UK
| | - Marcus Martineau
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Kristina Schoonjans
- Laboratory of Integrative and Systems Physiology, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Hanns-Ulrich Marschall
- Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Peter Jones
- School of Life Course Sciences, King's College London, London, UK
| | - Catherine Williamson
- School of Life Course Sciences, King's College London, London, UK.
- Maternal and Fetal Disease Group, Hodgkin Building, Guy's Campus, King's College London, London, SE1 1UL, UK.
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23
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Sewda A, Agopian AJ, Goldmuntz E, Hakonarson H, Morrow BE, Musfee F, Taylor D, Mitchell LE. Gene-based analyses of the maternal genome implicate maternal effect genes as risk factors for conotruncal heart defects. PLoS One 2020; 15:e0234357. [PMID: 32516339 PMCID: PMC7282656 DOI: 10.1371/journal.pone.0234357] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 05/22/2020] [Indexed: 12/12/2022] Open
Abstract
Congenital heart defects (CHDs) affect approximately 1% of newborns. Epidemiological studies have identified several genetically-mediated maternal phenotypes (e.g., pregestational diabetes, chronic hypertension) that are associated with the risk of CHDs in offspring. However, the role of the maternal genome in determining CHD risk has not been defined. We present findings from gene-level, genome-wide studies that link CHDs to maternal effect genes as well as to maternal genes related to hypertension and proteostasis. Maternal effect genes, which provide the mRNAs and proteins in the oocyte that guide early embryonic development before zygotic gene activation, have not previously been implicated in CHD risk. Our findings support a role for and suggest new pathways by which the maternal genome may contribute to the development of CHDs in offspring.
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Affiliation(s)
- Anshuman Sewda
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
| | - A. J. Agopian
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
| | - Elizabeth Goldmuntz
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Division of Cardiology, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Hakon Hakonarson
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Center for Applied Genomics, The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Bernice E. Morrow
- Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America
| | - Fadi Musfee
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
| | - Deanne Taylor
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Laura E. Mitchell
- Department of Epidemiology, Human Genetics and Environmental Sciences, UTHealth School of Public Health, Houston, Texas, United States of America
- * E-mail:
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24
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Abstract
For decades, the early development of the Xenopus embryo has been an essential model system to study the gene regulatory mechanisms that govern cellular specification. At the top of the hierarchy of gene regulatory networks, maternally deposited transcription factors initiate this process and regulate the expression of zygotic genes that give rise to three distinctive germ layer cell types (ectoderm, mesoderm, and endoderm), and subsequent generation of organ precursors. The onset of germ layer specification is also closely coupled with changes associated with chromatin modifications. This review will examine the timing of maternal transcription factors initiating the zygotic genome activation, the epigenetic landscape of embryonic chromatin, and the network structure that governs the process.
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Affiliation(s)
- Kitt D Paraiso
- Department of Developmental and Cell Biology, University of California, Irvine, CA, United States; Center for Complex Biological Systems, University of California, Irvine, CA, United States
| | - Jin S Cho
- Department of Developmental and Cell Biology, University of California, Irvine, CA, United States
| | - Junseok Yong
- Department of Developmental and Cell Biology, University of California, Irvine, CA, United States
| | - Ken W Y Cho
- Department of Developmental and Cell Biology, University of California, Irvine, CA, United States; Center for Complex Biological Systems, University of California, Irvine, CA, United States.
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25
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Abrams EW, Fuentes R, Marlow FL, Kobayashi M, Zhang H, Lu S, Kapp L, Joseph SR, Kugath A, Gupta T, Lemon V, Runke G, Amodeo AA, Vastenhouw NL, Mullins MC. Molecular genetics of maternally-controlled cell divisions. PLoS Genet 2020; 16:e1008652. [PMID: 32267837 PMCID: PMC7179931 DOI: 10.1371/journal.pgen.1008652] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 04/23/2020] [Accepted: 02/04/2020] [Indexed: 02/01/2023] Open
Abstract
Forward genetic screens remain at the forefront of biology as an unbiased approach for discovering and elucidating gene function at the organismal and molecular level. Past mutagenesis screens targeting maternal-effect genes identified a broad spectrum of phenotypes ranging from defects in oocyte development to embryonic patterning. However, earlier vertebrate screens did not reach saturation, anticipated classes of phenotypes were not uncovered, and technological limitations made it difficult to pinpoint the causal gene. In this study, we performed a chemically-induced maternal-effect mutagenesis screen in zebrafish and identified eight distinct mutants specifically affecting the cleavage stage of development and one cleavage stage mutant that is also male sterile. The cleavage-stage phenotypes fell into three separate classes: developmental arrest proximal to the mid blastula transition (MBT), irregular cleavage, and cytokinesis mutants. We mapped each mutation to narrow genetic intervals and determined the molecular basis for two of the developmental arrest mutants, and a mutation causing male sterility and a maternal-effect mutant phenotype. One developmental arrest mutant gene encodes a maternal specific Stem Loop Binding Protein, which is required to maintain maternal histone levels. The other developmental arrest mutant encodes a maternal-specific subunit of the Minichromosome Maintenance Protein Complex, which is essential for maintaining normal chromosome integrity in the early blastomeres. Finally, we identify a hypomorphic allele of Polo-like kinase-1 (Plk-1), which results in a male sterile and maternal-effect phenotype. Collectively, these mutants expand our molecular-genetic understanding of the maternal regulation of early embryonic development in vertebrates.
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Affiliation(s)
- Elliott W. Abrams
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
- Department of Biology, Purchase College, The State University of New York, Purchase, New York, United States of America
| | - Ricardo Fuentes
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Florence L. Marlow
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Manami Kobayashi
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Hong Zhang
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Sumei Lu
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Lee Kapp
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Shai R. Joseph
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Amy Kugath
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Tripti Gupta
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Virginia Lemon
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Greg Runke
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Amanda A. Amodeo
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
| | | | - Mary C. Mullins
- Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America
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26
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Dodsworth S, Guignard MS, Pérez-Escobar OA, Struebig M, Chase MW, Leitch AR. Repetitive DNA Restructuring Across Multiple Nicotiana Allopolyploidisation Events Shows a Lack of Strong Cytoplasmic Bias in Influencing Repeat Turnover. Genes (Basel) 2020; 11:E216. [PMID: 32092894 PMCID: PMC7074350 DOI: 10.3390/genes11020216] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 02/10/2020] [Accepted: 02/13/2020] [Indexed: 12/19/2022] Open
Abstract
Allopolyploidy is acknowledged as an important force in plant evolution. Frequent allopolyploidy in Nicotiana across different timescales permits the evaluation of genome restructuring and repeat dynamics through time. Here we use a clustering approach on high-throughput sequence reads to identify the main classes of repetitive elements following three allotetraploid events, and how these are inherited from the closest extant relatives of the maternal and paternal subgenome donors. In all three cases, there was a lack of clear maternal, cytoplasmic bias in repeat evolution, i.e., lack of a predicted bias towards maternal subgenome-derived repeats, with roughly equal contributions from both parental subgenomes. Different overall repeat dynamics were found across timescales of <0.5 (N. rustica L.), 4 (N. repanda Willd.) and 6 (N. benthamiana Domin) Ma, with nearly additive, genome upsizing, and genome downsizing, respectively. Lower copy repeats were inherited in similar abundance to the parental subgenomes, whereas higher copy repeats contributed the most to genome size change in N. repanda and N. benthamiana. Genome downsizing post-polyploidisation may be a general long-term trend across angiosperms, but at more recent timescales there is species-specific variance as found in Nicotiana.
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Affiliation(s)
- Steven Dodsworth
- School of Life Sciences, University of Bedfordshire, Luton LU1 3JU, UK
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK; (M.S.G.); (M.S.)
| | - Maïté S. Guignard
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK; (M.S.G.); (M.S.)
- Royal Botanic Gardens, Kew, Richmond TW9 3AB, UK; (O.A.P.-E.); (M.W.C.)
| | | | - Monika Struebig
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK; (M.S.G.); (M.S.)
| | - Mark W. Chase
- Royal Botanic Gardens, Kew, Richmond TW9 3AB, UK; (O.A.P.-E.); (M.W.C.)
- Department of Environment and Agriculture, Curtin University, Bentley 6102, Western Australia, Australia
| | - Andrew R. Leitch
- School of Biological and Chemical Sciences, Queen Mary University of London, London E1 4NS, UK; (M.S.G.); (M.S.)
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27
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Latorre-Pellicer A, Lechuga-Vieco AV, Johnston IG, Hämäläinen RH, Pellico J, Justo-Méndez R, Fernández-Toro JM, Clavería C, Guaras A, Sierra R, Llop J, Torres M, Criado LM, Suomalainen A, Jones NS, Ruíz-Cabello J, Enríquez JA. Regulation of Mother-to-Offspring Transmission of mtDNA Heteroplasmy. Cell Metab 2019; 30:1120-1130.e5. [PMID: 31588014 PMCID: PMC6899444 DOI: 10.1016/j.cmet.2019.09.007] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 06/12/2019] [Accepted: 09/10/2019] [Indexed: 01/05/2023]
Abstract
mtDNA is present in multiple copies in each cell derived from the expansions of those in the oocyte. Heteroplasmy, more than one mtDNA variant, may be generated by mutagenesis, paternal mtDNA leakage, and novel medical technologies aiming to prevent inheritance of mtDNA-linked diseases. Heteroplasmy phenotypic impact remains poorly understood. Mouse studies led to contradictory models of random drift or haplotype selection for mother-to-offspring transmission of mtDNA heteroplasmy. Here, we show that mtDNA heteroplasmy affects embryo metabolism, cell fitness, and induced pluripotent stem cell (iPSC) generation. Thus, genetic and pharmacological interventions affecting oxidative phosphorylation (OXPHOS) modify competition among mtDNA haplotypes during oocyte development and/or at early embryonic stages. We show that heteroplasmy behavior can fall on a spectrum from random drift to strong selection, depending on mito-nuclear interactions and metabolic factors. Understanding heteroplasmy dynamics and its mechanisms provide novel knowledge of a fundamental biological process and enhance our ability to mitigate risks in clinical applications affecting mtDNA transmission.
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Affiliation(s)
- Ana Latorre-Pellicer
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; Unit of Clinical Genetics and Functional Genomics, Department of Pharmacology-Physiology, School of Medicine, University of Zaragoza, ISS-Aragon, 50009 Zaragoza, Spain
| | - Ana Victoria Lechuga-Vieco
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; CIBERES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain
| | - Iain G Johnston
- School of Biosciences, University of Birmingham, Birmingham, UK
| | - Riikka H Hämäläinen
- Department of Neurobiology, A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland; Research Program of Molecular Neurology, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Juan Pellico
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; CIBERES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain
| | - Raquel Justo-Méndez
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | | | - Cristina Clavería
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Adela Guaras
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Rocío Sierra
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Jordi Llop
- CIC biomaGUNE, Paseo Miramón No 182, San Sebastián, 20014 Guipúzcoa, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Miguel Torres
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Luis Miguel Criado
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
| | - Anu Suomalainen
- Research Program of Molecular Neurology, Biomedicum, University of Helsinki, Helsinki, Finland
| | - Nick S Jones
- Department of Mathematics, Imperial College London, London SW7 2BB, UK
| | - Jesús Ruíz-Cabello
- CIBERES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain; CIC biomaGUNE, Paseo Miramón No 182, San Sebastián, 20014 Guipúzcoa, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain; Universidad Complutense de Madrid, Madrid 28606, Spain
| | - José Antonio Enríquez
- Centro Nacional de Investigaciones Cardiovasculares Carlos III, Madrid, Spain; CIBERFES: C/ Melchor Fernández-Almagro 3, 28029 Madrid, Spain.
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28
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Kaukonen M, Woods S, Ahonen S, Lemberg S, Hellman M, Hytönen MK, Permi P, Glaser T, Lohi H. Maternal Inheritance of a Recessive RBP4 Defect in Canine Congenital Eye Disease. Cell Rep 2019; 23:2643-2652. [PMID: 29847795 PMCID: PMC6546432 DOI: 10.1016/j.celrep.2018.04.118] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 04/16/2018] [Accepted: 04/26/2018] [Indexed: 01/20/2023] Open
Abstract
Maternally skewed transmission of traits has been associated with genomic imprinting and oocyte-derived mRNA. We report canine congenital eye malformations, caused by an amino acid deletion (K12del) near the N terminus of retinol-binding protein (RBP4). The disease is only expressed when both dam and offspring are deletion homozygotes. RBP carries vitamin A (retinol) from hepatic stores to peripheral tissues, including the placenta and developing eye, where it is required to synthesize retinoic acid. Gestational vitamin A deficiency is a known risk factor for ocular birth defects. The K12del mutation disrupts RBP folding in vivo, decreasing its secretion from hepatocytes to serum. The maternal penetrance effect arises from an impairment in the sequential transfer of retinol across the placenta, via RBP encoded by maternal and fetal genomes. Our results demonstrate a mode of recessive maternal inheritance, with a physiological basis, and they extend previous observations on dominant-negative RBP4 alleles in humans.
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Affiliation(s)
- Maria Kaukonen
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland; Research Programs Unit, Molecular Neurology, University of Helsinki, 00014 Helsinki, Finland; The Folkhälsan Institute of Genetics, 00290 Helsinki, Finland
| | - Sean Woods
- Department of Cell Biology and Human Anatomy, University of California, Davis School of Medicine, Davis, CA 95616, USA
| | - Saija Ahonen
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland; Research Programs Unit, Molecular Neurology, University of Helsinki, 00014 Helsinki, Finland; The Folkhälsan Institute of Genetics, 00290 Helsinki, Finland
| | - Seppo Lemberg
- Department of Eye Diseases, Helsinki University Hospital, 00029 The Hospital District of Helsinki and Uusimaa, Finland
| | - Maarit Hellman
- Department of Chemistry, Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Marjo K Hytönen
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland; Research Programs Unit, Molecular Neurology, University of Helsinki, 00014 Helsinki, Finland; The Folkhälsan Institute of Genetics, 00290 Helsinki, Finland
| | - Perttu Permi
- Department of Chemistry, Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland; Department of Biological and Environmental Science, Nanoscience Center, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Tom Glaser
- Department of Cell Biology and Human Anatomy, University of California, Davis School of Medicine, Davis, CA 95616, USA.
| | - Hannes Lohi
- Department of Veterinary Biosciences, University of Helsinki, 00014 Helsinki, Finland; Research Programs Unit, Molecular Neurology, University of Helsinki, 00014 Helsinki, Finland; The Folkhälsan Institute of Genetics, 00290 Helsinki, Finland.
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29
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Weldingh E, Johnsen MB, Hagen KB, Østerås N, Risberg MA, Natvig B, Slatkowsky-Christensen B, Fenstad AM, Furnes O, Nordsletten L, Magnusson K. The Maternal and Paternal Effects on Clinically and Surgically Defined Osteoarthritis. Arthritis Rheumatol 2019; 71:1844-1848. [PMID: 31237417 DOI: 10.1002/art.41023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 06/19/2019] [Indexed: 11/07/2022]
Abstract
OBJECTIVE It is currently unknown whether osteoarthritis (OA) is inherited mainly from the mother, father, or both. This study was undertaken to explore the effect of maternal and paternal factors on hip, knee, and hand OA in offspring. METHODS Participants from the Musculoskeletal Pain in Ullensaker Study (MUST) (69% female; mean ± SD age 64 ± 9 years) and a Norwegian OA twin study (Nor-Twin) (56% female; 49 ± 11 years) reported whether their mother and/or father had OA. Using a recurrence risk estimation approach, we calculated whether maternal and paternal OA increased the risk of 1) surgically defined hip and knee OA (i.e., total joint replacement) and 2) clinically defined hip, knee, and hand OA (i.e., the American College of Rheumatology criteria) using logistic regression. Relative risks (RRs) with 95% confidence intervals (95% CIs) were calculated. RESULTS Maternal OA consistently increased the risk of offspring OA across different OA locations and severities. Having a mother with OA increased the risk of any OA in daughters (RR 1.13 [95% CI 1.02-1.25] in the MUST cohort; RR 1.44 [95% CI 1.05-1.97] in the Nor-Twin cohort) but not (or with less certainty) in sons (RR 1.16 [95% CI 0.95-1.43] in the MUST cohort; RR 1.31 [95% CI 0.71-2.41] in the Nor-Twin cohort). Having a father with OA was less likely to increase the risk of any OA in daughters (RR 1.00 [95% CI 0.85-1.16] in the MUST cohort; RR 1.52 [95% CI 0.94-2.46] in the Nor-Twin cohort) and sons (RR 1.08 [95% CI 0.83-1.41] in the MUST cohort; RR 0.93 [95% CI 0.35-2.48] in the Nor-Twin cohort). CONCLUSION OA in the mother increased the risk of surgically and clinically defined hip, knee, and hand OA in offspring, particularly in daughters. Our findings imply that heredity of OA may be linked to maternal genes and/or maternal-specific factors such as the fetal environment.
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Affiliation(s)
| | | | - Kåre Birger Hagen
- Norwegian Institute of Public Health and Diakonhjemmet Hospital, Oslo, Norway
| | | | | | | | | | | | - Ove Furnes
- Haukeland University Hospital and University of Bergen, Norway
| | | | - Karin Magnusson
- Diakonhjemmet Hospital, Oslo, Norway, and Lund University, Lund, Sweden
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30
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Warrington NM, Beaumont RN, Horikoshi M, Day FR, Helgeland Ø, Laurin C, Bacelis J, Peng S, Hao K, Feenstra B, Wood AR, Mahajan A, Tyrrell J, Robertson NR, Rayner NW, Qiao Z, Moen GH, Vaudel M, Marsit CJ, Chen J, Nodzenski M, Schnurr TM, Zafarmand MH, Bradfield JP, Grarup N, Kooijman MN, Li-Gao R, Geller F, Ahluwalia TS, Paternoster L, Rueedi R, Huikari V, Hottenga JJ, Lyytikäinen LP, Cavadino A, Metrustry S, Cousminer DL, Wu Y, Thiering E, Wang CA, Have CT, Vilor-Tejedor N, Joshi PK, Painter JN, Ntalla I, Myhre R, Pitkänen N, van Leeuwen EM, Joro R, Lagou V, Richmond RC, Espinosa A, Barton SJ, Inskip HM, Holloway JW, Santa-Marina L, Estivill X, Ang W, Marsh JA, Reichetzeder C, Marullo L, Hocher B, Lunetta KL, Murabito JM, Relton CL, Kogevinas M, Chatzi L, Allard C, Bouchard L, Hivert MF, Zhang G, Muglia LJ, Heikkinen J, Morgen CS, van Kampen AHC, van Schaik BDC, Mentch FD, Langenberg C, Luan J, Scott RA, Zhao JH, Hemani G, Ring SM, Bennett AJ, Gaulton KJ, Fernandez-Tajes J, van Zuydam NR, Medina-Gomez C, de Haan HG, Rosendaal FR, Kutalik Z, Marques-Vidal P, Das S, Willemsen G, Mbarek H, Müller-Nurasyid M, Standl M, Appel EVR, Fonvig CE, Trier C, van Beijsterveldt CEM, Murcia M, Bustamante M, Bonas-Guarch S, Hougaard DM, Mercader JM, Linneberg A, Schraut KE, Lind PA, Medland SE, Shields BM, Knight BA, Chai JF, Panoutsopoulou K, Bartels M, Sánchez F, Stokholm J, Torrents D, Vinding RK, Willems SM, Atalay M, Chawes BL, Kovacs P, Prokopenko I, Tuke MA, Yaghootkar H, Ruth KS, Jones SE, Loh PR, Murray A, Weedon MN, Tönjes A, Stumvoll M, Michaelsen KF, Eloranta AM, Lakka TA, van Duijn CM, Kiess W, Körner A, Niinikoski H, Pahkala K, Raitakari OT, Jacobsson B, Zeggini E, Dedoussis GV, Teo YY, Saw SM, Montgomery GW, Campbell H, Wilson JF, Vrijkotte TGM, Vrijheid M, de Geus EJCN, Hayes MG, Kadarmideen HN, Holm JC, Beilin LJ, Pennell CE, Heinrich J, Adair LS, Borja JB, Mohlke KL, Eriksson JG, Widén EE, Hattersley AT, Spector TD, Kähönen M, Viikari JS, Lehtimäki T, Boomsma DI, Sebert S, Vollenweider P, Sørensen TIA, Bisgaard H, Bønnelykke K, Murray JC, Melbye M, Nohr EA, Mook-Kanamori DO, Rivadeneira F, Hofman A, Felix JF, Jaddoe VWV, Hansen T, Pisinger C, Vaag AA, Pedersen O, Uitterlinden AG, Järvelin MR, Power C, Hyppönen E, Scholtens DM, Lowe WL, Davey Smith G, Timpson NJ, Morris AP, Wareham NJ, Hakonarson H, Grant SFA, Frayling TM, Lawlor DA, Njølstad PR, Johansson S, Ong KK, McCarthy MI, Perry JRB, Evans DM, Freathy RM. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors. Nat Genet 2019; 51:804-814. [PMID: 31043758 PMCID: PMC6522365 DOI: 10.1038/s41588-019-0403-1] [Citation(s) in RCA: 297] [Impact Index Per Article: 59.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 03/26/2019] [Indexed: 12/21/2022]
Abstract
Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effects, then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of these alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.
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Affiliation(s)
- Nicole M Warrington
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Robin N Beaumont
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Momoko Horikoshi
- RIKEN Centre for Integrative Medical Sciences, Laboratory for Endocrinology, Metabolism and Kidney Diseases, Yokohama, Japan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Felix R Day
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Øyvind Helgeland
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
| | - Charles Laurin
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jonas Bacelis
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital Östra, Gothenburg, Sweden
| | - Shouneng Peng
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - Andrew R Wood
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Jessica Tyrrell
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- European Centre for Environment and Human Health, University of Exeter, Truro, UK
| | - Neil R Robertson
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - N William Rayner
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Sanger Institute, Hinxton, UK
| | - Zhen Qiao
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Gunn-Helen Moen
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Marc Vaudel
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michael Nodzenski
- Department of Preventive Medicine, Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Theresia M Schnurr
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mohammad H Zafarmand
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Jonathan P Bradfield
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Quantinuum Research, San Diego, CA, USA
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marjolein N Kooijman
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
| | - Tarunveer S Ahluwalia
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
| | - Lavinia Paternoster
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Ville Huikari
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Alana Cavadino
- Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Sarah Metrustry
- Department of Twin Research, King's College London, St. Thomas' Hospital, London, UK
| | - Diana L Cousminer
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ying Wu
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Elisabeth Thiering
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Carol A Wang
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, New South Wales, Australia
| | - Christian T Have
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Natalia Vilor-Tejedor
- Center for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Barcelonabeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
| | - Peter K Joshi
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Jodie N Painter
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Ioanna Ntalla
- William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Ronny Myhre
- Department of Genes and Environment, Division of Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - Niina Pitkänen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Elisabeth M van Leeuwen
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Raimo Joro
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Vasiliki Lagou
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Neuroscience, Katholieke Universiteit Leuven, Leuven, Belgium
- VIB Center for Brain and Disease Research, Leuven, Belgium
| | - Rebecca C Richmond
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Ana Espinosa
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Sheila J Barton
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - Hazel M Inskip
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Loreto Santa-Marina
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Subdirección de Salud Pública y Adicciones de Gipuzkoa, San Sebastián, Spain
- Instituto de Investigación Sanitaria Biodonostia, San Sebastián, Spain
| | - Xavier Estivill
- Sidra Medicine Research Department, Sidra Medicine, Doha, Qatar
- Genomics Unit, Dexeus Woman's Health, Barcelona, Spain
| | - Wei Ang
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | - Julie A Marsh
- Division of Obstetrics and Gynaecology, The University of Western Australia, Perth, Western Australia, Australia
| | | | - Letizia Marullo
- Department of Life Sciences and Biotechnology, Genetic Section, University of Ferrara, Ferrara, Italy
| | - Berthold Hocher
- Fifth Department of Medicine, University Medical Centre Mannheim, University of Heidelberg, Heidelberg, Germany
- Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Joanne M Murabito
- Framingham Heart Study, Framingham, MA, USA
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Manolis Kogevinas
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA
| | - Catherine Allard
- Centre de recherche, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Luigi Bouchard
- Centre de recherche, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
- ECOGENE-21 and Lipid Clinic, Chicoutimi Hospital, Saguenay, Quebec, Canada
- Department of Biochemistry, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Diabetes Center, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbooke, Quebec, Canada
| | - Ge Zhang
- Human Genetics Division, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Louis J Muglia
- Human Genetics Division, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
- March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA
| | - Jani Heikkinen
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Camilla S Morgen
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Antoine H C van Kampen
- Bioinformatics Laboratory, Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
- Biosystems Data Analysis, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, the Netherlands
| | - Barbera D C van Schaik
- Bioinformatics Laboratory, Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam Public Health Research Institute, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Frank D Mentch
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Claudia Langenberg
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Gibran Hemani
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Susan M Ring
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Amanda J Bennett
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Kyle J Gaulton
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Pediatrics, University of California San Diego, La Jolla, CA, USA
| | | | - Natalie R van Zuydam
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Carolina Medina-Gomez
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Hugoline G de Haan
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Zoltán Kutalik
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Shikta Das
- Medical Research Council Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Sciences, University College London, London, UK
| | - Gonneke Willemsen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Hamdi Mbarek
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Department of Internal Medicine I (Cardiology), Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany
- Division of Genetic Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Marie Standl
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Emil V R Appel
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Cilius E Fonvig
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Odense, Denmark
| | - Caecilie Trier
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | | | - Mario Murcia
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
- FISABIO-Universitat Jaume I-Universitat de València, Joint Research Unit of Epidemiology and Environmental Health, Valencia, Spain
| | - Mariona Bustamante
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Sílvia Bonas-Guarch
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
| | - David M Hougaard
- Danish Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark
| | - Josep M Mercader
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
- Programs in Metabolism and Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Frederiksberg, Denmark
| | - Katharina E Schraut
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Penelope A Lind
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Beverley M Shields
- NIHR Exeter Clinical Research Facility, University of Exeter College of Medicine and Health and Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Bridget A Knight
- NIHR Exeter Clinical Research Facility, University of Exeter College of Medicine and Health and Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
| | | | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - Friman Sánchez
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
- Computer Sciences Department, Barcelona Supercomputing Center, Barcelona, Spain
| | - Jakob Stokholm
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - David Torrents
- Joint BSC-CGR-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Rebecca K Vinding
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Sara M Willems
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Mustafa Atalay
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Bo L Chawes
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Peter Kovacs
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Inga Prokopenko
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Section of Genomics of Common Disease, Department of Medicine, Imperial College London, London, UK
| | - Marcus A Tuke
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Hanieh Yaghootkar
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Katherine S Ruth
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Samuel E Jones
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Po-Ru Loh
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Anna Murray
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Michael N Weedon
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Anke Tönjes
- Medical Department, University of Leipzig, Leipzig, Germany
| | - Michael Stumvoll
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Medical Department, University of Leipzig, Leipzig, Germany
| | - Kim F Michaelsen
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Aino-Maija Eloranta
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Wieland Kiess
- Pediatric Research Center, Department of Women's andChild Health, University of Leipzig, Leipzig, Germany
| | - Antje Körner
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Pediatric Research Center, Department of Women's andChild Health, University of Leipzig, Leipzig, Germany
| | - Harri Niinikoski
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Department of Physiology, University of Turku, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Paavo Nurmi Centre, Sports and Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Bo Jacobsson
- Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Norwegian Institute of Public Health, Oslo, Norway
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital Östra, Gothenburg, Sweden
| | - Eleftheria Zeggini
- Wellcome Sanger Institute, Hinxton, UK
- Institute of Translational Genomics, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - George V Dedoussis
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Seang-Mei Saw
- Saw Swee Hock School of Public Health, National University of Singapore, National University Health System, Singapore, Singapore
- Singapore Eye Research Institute, Singapore, Singapore
| | - Grant W Montgomery
- QIMR Berghofer Medical Research Institute, Royal Brisbane Hospital, Brisbane, Queensland, Australia
| | - Harry Campbell
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - James F Wilson
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Tanja G M Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Amsterdam UMC, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Martine Vrijheid
- ISGlobal, Barcelona Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública, Madrid, Spain
| | - Eco J C N de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
| | - M Geoffrey Hayes
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Haja N Kadarmideen
- Quantitative and Systems Genomics Group, Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark
| | - Jens-Christian Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Lawrence J Beilin
- School of Medicine, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - Craig E Pennell
- School of Medicine and Public Health, Faculty of Medicine and Health, The University of Newcastle, Newcastle, New South Wales, Australia
| | - Joachim Heinrich
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Institute and Outpatient Clinic for Occupational Social and Environmental Medicine, Inner City Clinic, University Hospital Munich, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Linda S Adair
- Department of Nutrition, University of North Carolina, Chapel Hill, NC, USA
| | - Judith B Borja
- USC-Office of Population Studies Foundation, University of San Carlos, Cebu City, Philippines
- Department of Nutrition and Dietetics, University of San Carlos, Cebu City, Philippines
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Johan G Eriksson
- National Institute for Health and Welfare, Helsinki, Finland
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Elisabeth E Widén
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
- NIHR Exeter Clinical Research Facility, University of Exeter College of Medicine and Health and Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Tim D Spector
- Department of Twin Research, King's College London, St. Thomas' Hospital, London, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorma S Viikari
- Division of Medicine, Turku University Hospital, Turku, Finland
- Department of Medicine, University of Turku, Turku, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health, Amsterdam, the Netherlands
- Amsterdam Reproduction and Development, Amsterdam, the Netherlands
| | - Sylvain Sebert
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Department of Genomics of Complex Diseases, Imperial College London, London, UK
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Thorkild I A Sørensen
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hans Bisgaard
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Klaus Bønnelykke
- Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Jeffrey C Murray
- Department of Pediatrics, University of Iowa, Iowa City, IA, USA
| | - Mads Melbye
- Department of Epidemiology Research, Statens Serum Institute, Copenhagen, Denmark
- Department of Medicine, Stanford School of Medicine, Stanford, CA, USA
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Fernando Rivadeneira
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Charlotta Pisinger
- Research Center for Prevention and Health, Center for Sundhed, Rigshospitalet Glostrup, Copenhagen University, Glostrup, Denmark
| | - Allan A Vaag
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
- Cardiovascular, Renal and Metabolism, Translational Medicine Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - André G Uitterlinden
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Health Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Christine Power
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Elina Hyppönen
- Population, Policy and Practice, UCL Great Ormond Street Institute of Child Health, University College London, London, UK
- Australian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - William L Lowe
- Department of Medicine, Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Nicholas J Timpson
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Andrew P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Hakon Hakonarson
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Struan F A Grant
- Center for Applied Genomics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Timothy M Frayling
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK
| | - Debbie A Lawlor
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Bristol Biomedical Research Centre, Bristol, UK
| | - Pål R Njølstad
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Pediatrics, Haukeland University Hospital, Bergen, Norway
| | - Stefan Johansson
- KG Jebsen Center for Diabetes Research, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ken K Ong
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Mark I McCarthy
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, UK
| | - John R B Perry
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - David M Evans
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia.
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - Rachel M Freathy
- Institute of Biomedical and Clinical Science, College of Medicine and Health, University of Exeter, Royal Devon and Exeter Hospital, Exeter, UK.
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
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Lewis TW, Barthelemy JR, Virts EL, Kennedy FM, Gadgil RY, Wiek C, Linka RM, Zhang F, Andreassen PR, Hanenberg H, Leffak M. Deficiency of the Fanconi anemia E2 ubiqitin conjugase UBE2T only partially abrogates Alu-mediated recombination in a new model of homology dependent recombination. Nucleic Acids Res 2019; 47:3503-3520. [PMID: 30715513 PMCID: PMC6468168 DOI: 10.1093/nar/gkz026] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2017] [Revised: 01/04/2019] [Accepted: 01/30/2019] [Indexed: 12/11/2022] Open
Abstract
The primary function of the UBE2T ubiquitin conjugase is in the monoubiquitination of the FANCI-FANCD2 heterodimer, a central step in the Fanconi anemia (FA) pathway. Genetic inactivation of UBE2T is responsible for the phenotypes of FANCT patients; however, a FANCT patient carrying a maternal duplication and a paternal deletion in the UBE2T loci displayed normal peripheral blood counts and UBE2T protein levels in B-lymphoblast cell lines. To test whether reversion by recombination between UBE2T AluYa5 elements could have occurred in the patient's hematopoietic stem cells despite the defects in homologous recombination (HR) in FA cells, we constructed HeLa cell lines containing the UBE2T AluYa5 elements and neighboring intervening sequences flanked by fluorescent reporter genes. Introduction of a DNA double strand break in the model UBE2T locus in vivo promoted single strand annealing (SSA) between proximal Alu elements and deletion of the intervening color marker gene, recapitulating the reversion of the UBE2T duplication in the FA patient. To test whether UBE2T null cells retain HR activity, the UBE2T genes were knocked out in HeLa cells and U2OS cells. CRISPR/Cas9-mediated genetic knockout of UBE2T only partially reduced HR, demonstrating that UBE2T-independent pathways can compensate for the recombination defect in UBE2T/FANCT null cells.
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Affiliation(s)
- Todd W Lewis
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA
| | - Joanna R Barthelemy
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA
| | - Elizabeth L Virts
- Department of Pediatrics and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Felicia M Kennedy
- Department of Pediatrics and Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Rujuta Y Gadgil
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA
| | - Constanze Wiek
- Department of Otorhinolaryngology and Head/Neck Surgery, Heinrich Heine University, 40225 Duüsseldorf, Germany
| | - Rene M Linka
- Department of Otorhinolaryngology and Head/Neck Surgery, Heinrich Heine University, 40225 Duüsseldorf, Germany
| | - Feng Zhang
- Division of Experimental Hematology & Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Paul R Andreassen
- Division of Experimental Hematology & Cancer Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Helmut Hanenberg
- Department of Otorhinolaryngology and Head/Neck Surgery, Heinrich Heine University, 40225 Duüsseldorf, Germany
- Department of Pediatrics III, University Children's Hospital Essen, University of Duisburg-Essen, 45122 Essen, Germany
| | - Michael Leffak
- Department of Biochemistry and Molecular Biology, Boonshoft School of Medicine, Wright State University, Dayton, OH, USA
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Hu XS, Zhang ZF, Zhu TY, Song Y, Wu LJ, Liu XF, Zhao HY, Liu TX. Maternal effects of the English grain aphids feeding on the wheat varieties with different resistance traits. Sci Rep 2018; 8:7344. [PMID: 29743686 PMCID: PMC5943307 DOI: 10.1038/s41598-018-25136-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2018] [Accepted: 04/11/2018] [Indexed: 11/10/2022] Open
Abstract
The maternal effects of the English grain aphid, Sitobion avenae on offspring phenotypes and performance on wheat varieties with different resistance traits were examined. We found that both conditioning wheat varieties(the host plant for over 3 months) and transition wheat varieties affected the biological parameters of aphid offspring after they were transferred between wheat varieties with different resistance traits. The conditioning varieties affected weight gain, development time (DT), and the intrinsic rate of natural increase (rm), whereas transition varieties affected the fecundity, rm, net reproductive rate, and fitness index. The conditioning and transition wheat varieties had significant interaction effects on the aphid offspring's DT, mean relative growth rate, and fecundity. Our results showed that there was obvious maternal effects on offspring when S. avenae transferred bwteen wheat varieties with different resistance level, and the resistance traits of wheat varieties could induce an interaction between the conditioning and transition wheat varieties to influence the growth, development, reproduction, and even population dynamics of S. avenae. The conditioning varieties affected life-history traits related to individual growth and development to a greater extent, whereas transition varieties affected fecundity and population parameters more.
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Affiliation(s)
- Xiang-Shun Hu
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China
| | - Zhan-Feng Zhang
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China
| | - Tong-Yi Zhu
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China
| | - Yue Song
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China
| | - Li-Juan Wu
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China
| | - Xiao-Feng Liu
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China
| | - Hui-Yan Zhao
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China.
| | - Tong-Xian Liu
- State Key Laboratory for Crop Stress Biology in Arid Areas, Key Laboratory of Crop Pest Management on the Northwest Loess Plateau of Ministry of Agriculture, College of Plant Protection, Northwest A & F University, Yangling, Shaanxi, 712100, China.
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Mashoodh R, Habrylo IB, Gudsnuk KM, Pelle G, Champagne FA. Maternal modulation of paternal effects on offspring development. Proc Biol Sci 2018; 285:20180118. [PMID: 29514964 PMCID: PMC5879637 DOI: 10.1098/rspb.2018.0118] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Accepted: 02/12/2018] [Indexed: 01/22/2023] Open
Abstract
The paternal transmission of environmentally induced phenotypes across generations has been reported to occur following a number of qualitatively different exposures and appear to be driven, at least in part, by epigenetic factors that are inherited via the sperm. However, previous studies of paternal germline transmission have not addressed the role of mothers in the propagation of paternal effects to offspring. We hypothesized that paternal exposure to nutritional restriction would impact male mate quality and subsequent maternal reproductive investment with consequences for the transmission of paternal germline effects. In the current report, using embryo transfer in mice, we demonstrate that sperm factors in adult food restricted males can influence growth rate, hypothalamic gene expression and behaviour in female offspring. However, under natural mating conditions females mated with food restricted males show increased pre- and postnatal care, and phenotypic outcomes observed during embryo transfer conditions are absent or reversed. We demonstrate that these compensatory changes in maternal investment are associated with a reduced mate preference for food restricted males and elevated gene expression within the maternal hypothalamus. Therefore, paternal experience can influence offspring development via germline inheritance, but mothers can serve as a modulating factor in determining the impact of paternal influences on offspring development.
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Affiliation(s)
- Rahia Mashoodh
- Department of Psychology, Columbia University, 1190 Amsterdam Avenue, Room 406 Schermerhorn Hall, New York, NY 10027, USA
- Department of Zoology, University of Cambridge, Downing St, Cambridge, CB2 3EJ, UK
| | - Ireneusz B Habrylo
- Department of Psychology, Columbia University, 1190 Amsterdam Avenue, Room 406 Schermerhorn Hall, New York, NY 10027, USA
| | - Kathryn M Gudsnuk
- Department of Psychology, Columbia University, 1190 Amsterdam Avenue, Room 406 Schermerhorn Hall, New York, NY 10027, USA
| | - Geralyn Pelle
- Columbia University Medical Center, 650 W 168 St, New York, NY 10032, USA
| | - Frances A Champagne
- Department of Psychology, Columbia University, 1190 Amsterdam Avenue, Room 406 Schermerhorn Hall, New York, NY 10027, USA
- Department of Psychology, University of Texas at Austin, 108 E Dean Keeton St, Austin, TX 78712, USA
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Zhang M, Qin S, Xu P, Zhang G. Identifying potential maternal genes of Bombyx mori using digital gene expression profiling. PLoS One 2018; 13:e0192745. [PMID: 29462160 PMCID: PMC5819784 DOI: 10.1371/journal.pone.0192745] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 01/30/2018] [Indexed: 01/16/2023] Open
Abstract
Maternal genes present in mature oocytes play a crucial role in the early development of silkworm. Although maternal genes have been widely studied in many other species, there has been limited research in Bombyx mori. High-throughput next generation sequencing provides a practical method for gene discovery on a genome-wide level. Herein, a transcriptome study was used to identify maternal-related genes from silkworm eggs. Unfertilized eggs from five different stages of early development were used to detect the changing situation of gene expression. The expressed genes showed different patterns over time. Seventy-six maternal genes were annotated according to homology analysis with Drosophila melanogaster. More than half of the differentially expressed maternal genes fell into four expression patterns, while the expression patterns showed a downward trend over time. The functional annotation of these material genes was mainly related to transcription factor activity, growth factor activity, nucleic acid binding, RNA binding, ATP binding, and ion binding. Additionally, twenty-two gene clusters including maternal genes were identified from 18 scaffolds. Altogether, we plotted a profile for the maternal genes of Bombyx mori using a digital gene expression profiling method. This will provide the basis for maternal-specific signature research and improve the understanding of the early development of silkworm.
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Affiliation(s)
- Meirong Zhang
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China
- Sericulture Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang Jiangsu, China
| | - Sheng Qin
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China
- Sericulture Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang Jiangsu, China
| | - Pingzhen Xu
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China
- Sericulture Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang Jiangsu, China
| | - Guozheng Zhang
- School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang Jiangsu, China
- Sericulture Research Institute, Chinese Academy of Agricultural Sciences, Zhenjiang Jiangsu, China
- * E-mail:
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35
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Laurin C, Cuellar-Partida G, Hemani G, Smith GD, Yang J, Evans DM. Partitioning Phenotypic Variance Due to Parent-of-Origin Effects Using Genomic Relatedness Matrices. Behav Genet 2018; 48:67-79. [PMID: 29098496 PMCID: PMC5752821 DOI: 10.1007/s10519-017-9880-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 10/21/2017] [Indexed: 12/28/2022]
Abstract
We propose a new method, G-REMLadp, to estimate the phenotypic variance explained by parent-of-origin effects (POEs) across the genome. Our method uses restricted maximum likelihood analysis of genome-wide genetic relatedness matrices based on individuals' phased genotypes. Genome-wide SNP data from parent child duos or trios is required to obtain relatedness matrices indexing the parental origin of offspring alleles, as well as offspring phenotype data to partition the trait variation into variance components. To calibrate the power of G-REMLadp to detect non-null POEs when they are present, we provide an analytic approximation derived from Haseman-Elston regression. We also used simulated data to quantify the power and Type I Error rates of G-REMLadp, as well as the sensitivity of its variance component estimates to violations of underlying assumptions. We subsequently applied G-REMLadp to 36 phenotypes in a sample of individuals from the Avon Longitudinal Study of Parents and Children (ALSPAC). We found that the method does not seem to be inherently biased in estimating variance due to POEs, and that substantial correlation between parental genotypes is necessary to generate biased estimates. Our empirical results, power calculations and simulations indicate that sample sizes over 10000 unrelated parent-offspring duos will be necessary to detect POEs explaining < 10% of the variance with moderate power. We conclude that POEs tagged by our genetic relationship matrices are unlikely to explain large proportions of the phenotypic variance (i.e. > 15%) for the 36 traits that we have examined.
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Affiliation(s)
- Charles Laurin
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Gabriel Cuellar-Partida
- Faculty of Medicine, Translational Research Institute, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - George Davey Smith
- Faculty of Medicine, Translational Research Institute, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia
| | - Jian Yang
- Institute for Molecular Bioscience and Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - David M Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
- Faculty of Medicine, Translational Research Institute, The University of Queensland Diamantina Institute, Brisbane, QLD, Australia.
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36
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Zbucka-Kretowska M, Charkiewicz K, Goscik J, Wolczynski S, Laudanski P. Maternal plasma angiogenic and inflammatory factor profiling in foetal Down syndrome. PLoS One 2017; 12:e0189762. [PMID: 29244857 PMCID: PMC5731759 DOI: 10.1371/journal.pone.0189762] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2017] [Accepted: 12/03/2017] [Indexed: 12/14/2022] Open
Abstract
Objective and design Angiogenic factors are proteins that are related to certain foetal chromosomal abnormalities. The aim of this study was to determine the concentration of 60 angiogenic factors in the plasma of women with offspring possessing trisomy 21/Down syndrome (DS). Method After analysing karyotyping results, we selected 20 patients with foetuses possessing DS, and for the control group, we selected 28 healthy patients with uncomplicated pregnancies who delivered healthy newborns at term (i.e., 15–18 weeks of gestation). To assess the concentration of proteins in the blood plasma, we used a protein macroarray which enabled simultaneous determination of 60 angiogenic factors per sample. Results We observed a statistically significant increase in the concentration of these five angiogenic and inflammatory factors: TGFb1 (p = 0.039), angiostatin (p = 0.0142), I-309 (p = 0.0476), TGFb3 (p = 0.0395), and VEGF-D (p = 0.0173)—compared to concentrations in patients with healthy foetuses. Conclusion Our findings suggest that angiogenic factors may play role in DS pathogenesis.
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Affiliation(s)
- Monika Zbucka-Kretowska
- Department of Reproduction and Gynecological Endocrinology, Medical University of Bialystok, Bialystok, Poland
| | - Karol Charkiewicz
- Department of Perinatology and Obstetrics, Medical University of Bialystok, Bialystok, Poland
| | - Joanna Goscik
- Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland
| | - Slawomir Wolczynski
- Department of Reproduction and Gynecological Endocrinology, Medical University of Bialystok, Bialystok, Poland
| | - Piotr Laudanski
- Department of Perinatology and Obstetrics, Medical University of Bialystok, Bialystok, Poland
- * E-mail:
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37
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Sharp GC, Salas LA, Monnereau C, Allard C, Yousefi P, Everson TM, Bohlin J, Xu Z, Huang RC, Reese SE, Xu CJ, Baïz N, Hoyo C, Agha G, Roy R, Holloway JW, Ghantous A, Merid SK, Bakulski KM, Küpers LK, Zhang H, Richmond RC, Page CM, Duijts L, Lie RT, Melton PE, Vonk JM, Nohr EA, Williams-DeVane C, Huen K, Rifas-Shiman SL, Ruiz-Arenas C, Gonseth S, Rezwan FI, Herceg Z, Ekström S, Croen L, Falahi F, Perron P, Karagas MR, Quraishi BM, Suderman M, Magnus MC, Jaddoe VWV, Taylor JA, Anderson D, Zhao S, Smit HA, Josey MJ, Bradman A, Baccarelli AA, Bustamante M, Håberg SE, Pershagen G, Hertz-Picciotto I, Newschaffer C, Corpeleijn E, Bouchard L, Lawlor DA, Maguire RL, Barcellos LF, Davey Smith G, Eskenazi B, Karmaus W, Marsit CJ, Hivert MF, Snieder H, Fallin MD, Melén E, Munthe-Kaas MC, Arshad H, Wiemels JL, Annesi-Maesano I, Vrijheid M, Oken E, Holland N, Murphy SK, Sørensen TIA, Koppelman GH, Newnham JP, Wilcox AJ, Nystad W, London SJ, Felix JF, Relton CL. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium. Hum Mol Genet 2017; 26:4067-4085. [PMID: 29016858 PMCID: PMC5656174 DOI: 10.1093/hmg/ddx290] [Citation(s) in RCA: 139] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 06/23/2017] [Accepted: 07/17/2017] [Indexed: 12/16/2022] Open
Abstract
Pre-pregnancy maternal obesity is associated with adverse offspring outcomes at birth and later in life. Individual studies have shown that epigenetic modifications such as DNA methylation could contribute. Within the Pregnancy and Childhood Epigenetics (PACE) Consortium, we meta-analysed the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs). We attempted to infer causality by comparing the effects of maternal versus paternal BMI and incorporating genetic variation. In four additional cohorts (1,817 mother-child pairs), we meta-analysed the association between maternal BMI at the start of pregnancy and blood methylation in adolescents. In newborns, maternal BMI was associated with small (<0.2% per BMI unit (1 kg/m2), P < 1.06 × 10-7) methylation variation at 9,044 sites throughout the genome. Adjustment for estimated cell proportions greatly attenuated the number of significant CpGs to 104, including 86 sites common to the unadjusted model. At 72/86 sites, the direction of the association was the same in newborns and adolescents, suggesting persistence of signals. However, we found evidence for acausal intrauterine effect of maternal BMI on newborn methylation at just 8/86 sites. In conclusion, this well-powered analysis identified robust associations between maternal adiposity and variations in newborn blood DNA methylation, but these small effects may be better explained by genetic or lifestyle factors than a causal intrauterine mechanism. This highlights the need for large-scale collaborative approaches and the application of causal inference techniques in epigenetic epidemiology.
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Affiliation(s)
- Gemma C Sharp
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
- School of Oral and Dental Sciences, University of Bristol, Bristol, UK
| | - Lucas A Salas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Claire Monnereau
- The Generation R Study Group
- Department of Epidemiology
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Catherine Allard
- Centre de Recherche du Centre Hospitalier, Université de Sherbrooke, QC, Canada
| | - Paul Yousefi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley
| | - Todd M Everson
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jon Bohlin
- Department of Infection Epidemiology and Modeling, Norwegian Institute of Public Health, Oslo, Norway
| | - Zongli Xu
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Crawley, WA 6009, Australia
| | - Sarah E Reese
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Cheng-Jian Xu
- Department of Pulmonology, GRIAC Research Institute
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nour Baïz
- Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Sorbonne Université, UPMC Univ Paris 06, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Saint-Antoine Medical School, Paris, France
| | - Cathrine Hoyo
- Department of Biological Sciences
- Center for Human Health and the Environment, North Carolina State University, NC, USA
| | - Golareh Agha
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Ritu Roy
- University of California San Francisco, CA, USA
- HDF Comprehensive Cancer Center, University of California, San Francisco, CA, USA
- Computational Biology Core
| | - John W Holloway
- Human Development & Health, Faculty of Medicine, University of Southampton, UK
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Simon K Merid
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Kelly M Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, MI, USA
| | - Leanne K Küpers
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Rebecca C Richmond
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
| | - Christian M Page
- Department of Non-Communicable Disease, Norwegian Institute of Public Health, Oslo, Norway
| | - Liesbeth Duijts
- The Generation R Study Group
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rolv T Lie
- Department of Global Public Health and Primary Care, University of Bergen, Norway
- Medical Birth Registry of Norway, Norwegian Institute of Public Health, Bergen, Norway
| | - Phillip E Melton
- The Curtin UWA Centre for Genetic Origins of Health and Disease, Faculty of Health Sciences, Curtin University Health Sciences, Curtin University and Faculty of Medicine Dentistry & Health Sciences, The University of Western Australia, Perth, Australia
- Faculty of Medicine Dentistry & Health Sciences, The University of Western Australia, Perth, Australia
| | - Judith M Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, GRIAC Research Institute Groningen, The Netherlands
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | | | - Karen Huen
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley
| | - Sheryl L Rifas-Shiman
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
| | - Carlos Ruiz-Arenas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Semira Gonseth
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
- School of Public Health, University of California Berkeley, CA, USA
| | - Faisal I Rezwan
- Human Development & Health, Faculty of Medicine, University of Southampton, UK
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Sandra Ekström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lisa Croen
- Division of Research, Kaiser Permanente Northern California, CA, UDA
| | - Fahimeh Falahi
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Patrice Perron
- Centre de Recherche du Centre Hospitalier, Université de Sherbrooke, QC, Canada
- Department of Medicine, Université de Sherbrooke, QC, Canada
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
- Children's Environmental Health & Disease Prevention Research Center at Dartmouth, Hanover, NH, USA
| | - Bilal M Quraishi
- Division of Epidemiology, Biostatistics, and Environmental Health Sciences, School of Public Health, University of Memphis, Memphis, TN, USA
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
- Department of Non-Communicable Disease, Norwegian Institute of Public Health, Oslo, Norway
| | - Vincent W V Jaddoe
- The Generation R Study Group
- Department of Epidemiology
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jack A Taylor
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
- Laboratory of Molecular Carcinogenesis, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Denise Anderson
- Telethon Kids Institute, University of Western Australia, Crawley, WA 6009, Australia
| | - Shanshan Zhao
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Henriette A Smit
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Michele J Josey
- Department of Biological & Biomedical Sciences, North Carolina Central University, Durham, NC, USA
- Epidemiology and Biostatistics Department, University of South Carolina (Columbia), SC, USA
| | - Asa Bradman
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Mariona Bustamante
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Siri E Håberg
- Domain of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Irva Hertz-Picciotto
- Department of Public Health, School of Medicine, University of California, Davis, CA, USA
| | - Craig Newschaffer
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, USA
| | - Eva Corpeleijn
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Luigi Bouchard
- Department of Biochemistry, Université de Sherbrooke, QC, Canada
- ECOGENE-21 and Lipid Clinic, Chicoutimi Hospital, Saguenay, QC, Canada
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
| | - Rachel L Maguire
- Department of Biological Sciences
- Department of Community and Family Medicine, Duke University Medical Center, Durham, NC, USA
| | - Lisa F Barcellos
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley
| | - George Davey Smith
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley
| | - Wilfried Karmaus
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Marie-France Hivert
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
- Department of Medicine, Université de Sherbrooke, QC, Canada
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - M Daniele Fallin
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Erik Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
- Sachs’ Children’s Hospital, South General Hospital, Stockholm, Sweden
| | - Monica C Munthe-Kaas
- Department of Pediatric and Adolescent Medicine, Oslo University Hospital, Norway
- Norwegian Institute of Public Health, Oslo Norway
| | - Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- NIHR Respiratory Biomedical Research Unit, University Hospital Southampton, Southampton, UK
- The David Hide Asthma and Allergy Research Centre, Isle of Wight, UK
| | - Joseph L Wiemels
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA, USA
| | - Isabella Annesi-Maesano
- Epidemiology of Allergic and Respiratory Diseases Department (EPAR), Sorbonne Université, UPMC Univ Paris 06, INSERM, Pierre Louis Institute of Epidemiology and Public Health, Saint-Antoine Medical School, Paris, France
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Emily Oken
- Obesity Prevention Program, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
| | - Nina Holland
- Center for Environmental Research and Children's Health (CERCH), School of Public Health, University of California Berkeley
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, USA
| | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Epidemiology, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Gerard H Koppelman
- Department of Paediatric Pulmonology and Paediatric Allergy, University of Groningen, University Medical Center Groningen, Beatrix Children’s Hospital, GRIAC Research Institute, Groningen, the Netherlands
| | - John P Newnham
- School of Women's and Infants' Health, The University of Western Australia, Crawley, WA 6009, Australia
| | - Allen J Wilcox
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Wenche Nystad
- Department of Non-Communicable Disease, Norwegian Institute of Public Health, Oslo, Norway
| | - Stephanie J London
- National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Janine F Felix
- The Generation R Study Group
- Department of Epidemiology
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit
- School of Social and Community Medicine
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Hwang G, Sun F, O'Brien M, Eppig JJ, Handel MA, Jordan PW. SMC5/6 is required for the formation of segregation-competent bivalent chromosomes during meiosis I in mouse oocytes. Development 2017; 144:1648-1660. [PMID: 28302748 PMCID: PMC5450844 DOI: 10.1242/dev.145607] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Accepted: 03/07/2017] [Indexed: 01/11/2023]
Abstract
SMC complexes include three major classes: cohesin, condensin and SMC5/6. However, the localization pattern and genetic requirements for the SMC5/6 complex during mammalian oogenesis have not previously been examined. In mouse oocytes, the SMC5/6 complex is enriched at the pericentromeric heterochromatin, and also localizes along chromosome arms during meiosis. The infertility phenotypes of females with a Zp3-Cre-driven conditional knockout (cKO) of Smc5 demonstrated that maternally expressed SMC5 protein is essential for early embryogenesis. Interestingly, protein levels of SMC5/6 complex components in oocytes decline as wild-type females age. When SMC5/6 complexes were completely absent in oocytes during meiotic resumption, homologous chromosomes failed to segregate accurately during meiosis I. Despite what appears to be an inability to resolve concatenation between chromosomes during meiosis, localization of topoisomerase IIα to bivalents was not affected; however, localization of condensin along the chromosome axes was perturbed. Taken together, these data demonstrate that the SMC5/6 complex is essential for the formation of segregation-competent bivalents during meiosis I, and findings suggest that age-dependent depletion of the SMC5/6 complex in oocytes could contribute to increased incidence of oocyte aneuploidy and spontaneous abortion in aging females.
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Affiliation(s)
- Grace Hwang
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Fengyun Sun
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | | | - John J Eppig
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | | | - Philip W Jordan
- Department of Biochemistry and Molecular Biology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
- The Jackson Laboratory, Bar Harbor, ME 04609, USA
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Flyamer IM, Gassler J, Imakaev M, Brandão HB, Ulianov SV, Abdennur N, Razin SV, Mirny LA, Tachibana-Konwalski K. Single-nucleus Hi-C reveals unique chromatin reorganization at oocyte-to-zygote transition. Nature 2017; 544:110-114. [PMID: 28355183 PMCID: PMC5639698 DOI: 10.1038/nature21711] [Citation(s) in RCA: 475] [Impact Index Per Article: 67.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2016] [Accepted: 02/14/2017] [Indexed: 12/15/2022]
Abstract
Chromatin is reprogrammed after fertilization to produce a totipotent zygote with the potential to generate a new organism. The maternal genome inherited from the oocyte and the paternal genome provided by sperm coexist as separate haploid nuclei in the zygote. How these two epigenetically distinct genomes are spatially organized is poorly understood. Existing chromosome conformation capture-based methods are not applicable to oocytes and zygotes owing to a paucity of material. To study three-dimensional chromatin organization in rare cell types, we developed a single-nucleus Hi-C (high-resolution chromosome conformation capture) protocol that provides greater than tenfold more contacts per cell than the previous method. Here we show that chromatin architecture is uniquely reorganized during the oocyte-to-zygote transition in mice and is distinct in paternal and maternal nuclei within single-cell zygotes. Features of genomic organization including compartments, topologically associating domains (TADs) and loops are present in individual oocytes when averaged over the genome, but the presence of each feature at a locus varies between cells. At the sub-megabase level, we observed stochastic clusters of contacts that can occur across TAD boundaries but average into TADs. Notably, we found that TADs and loops, but not compartments, are present in zygotic maternal chromatin, suggesting that these are generated by different mechanisms. Our results demonstrate that the global chromatin organization of zygote nuclei is fundamentally different from that of other interphase cells. An understanding of this zygotic chromatin 'ground state' could potentially provide insights into reprogramming cells to a state of totipotency.
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Affiliation(s)
- Ilya M. Flyamer
- IMBA - Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
- Present address: MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Johanna Gassler
- IMBA - Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria
| | - Maxim Imakaev
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
- Department of Physics, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
| | - Hugo B. Brandão
- Harvard Program in Biophysics, Harvard University, Cambridge, Massachusetts, USA
| | - Sergey V. Ulianov
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Nezar Abdennur
- Computational and Systems Biology Program, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
| | - Sergey V. Razin
- Institute of Gene Biology, Russian Academy of Sciences, Moscow, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Leonid A. Mirny
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
- Department of Physics, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, USA
- Harvard Program in Biophysics, Harvard University, Cambridge, Massachusetts, USA
| | - Kikuë Tachibana-Konwalski
- IMBA - Institute of Molecular Biotechnology of the Austrian Academy of Sciences, Vienna Biocenter (VBC), Vienna, Austria
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Abstract
In the 1980s, the study of localized maternal mRNAs was just emerging as a new research area. Classic embryological studies had linked the inheritance of cytoplasmic domains with specific cell lineages, but the underlying molecular nature of these putative determinants remained a mystery. The model system Xenopus would play a pivotal role in the progress of this new field. In fact, the first localized maternal mRNA to be identified and cloned from any organism was Xenopus vg1, a TGF-beta family member. This seminal finding opened the door to many subsequent studies focused on how RNAs are localized and what functions they had in development. As the field moves into the future, Xenopus remains the system of choice for studies identifying RNA/protein transport particles and maternal RNAs through RNA-sequencing.
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Affiliation(s)
- Mary Lou King
- Department of Cell Biology, University of Miami Miller School of Medicine, 1011 NW 15th St, Miami, FL 33136, USA
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Fukuda A, Mitani A, Miyashita T, Sado T, Umezawa A, Akutsu H. Maintenance of Xist Imprinting Depends on Chromatin Condensation State and Rnf12 Dosage in Mice. PLoS Genet 2016; 12:e1006375. [PMID: 27788132 PMCID: PMC5082930 DOI: 10.1371/journal.pgen.1006375] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 09/20/2016] [Indexed: 12/30/2022] Open
Abstract
In female mammals, activation of Xist (X-inactive specific transcript) is essential for establishment of X chromosome inactivation. During early embryonic development in mice, paternal Xist is preferentially expressed whereas maternal Xist (Xm-Xist) is silenced. Unlike autosomal imprinted genes, Xist imprinting for Xm-Xist silencing was erased in cloned or parthenogenetic but not fertilized embryos. However, the molecular mechanism underlying the variable nature of Xm-Xist imprinting is poorly understood. Here, we revealed that Xm-Xist silencing depends on chromatin condensation states at the Xist/Tsix genomic region and on Rnf12 expression levels. In early preimplantation, chromatin decondensation via H3K9me3 loss and histone acetylation gain caused Xm-Xist derepression irrespective of embryo type. Although the presence of the paternal genome during pronuclear formation impeded Xm-Xist derepression, Xm-Xist was robustly derepressed when the maternal genome was decondensed before fertilization. Once Xm-Xist was derepressed by chromatin alterations, the derepression was stably maintained and rescued XmXpΔ lethality, indicating that loss of Xm-Xist imprinting was irreversible. In late preimplantation, Oct4 served as a chromatin opener to create transcriptional permissive states at Xm-Xist/Tsix genomic loci. In parthenogenetic embryos, Rnf12 overdose caused Xm-Xist derepression via Xm-Tsix repression; physiological Rnf12 levels were essential for Xm-Xist silencing maintenance in fertilized embryos. Thus, chromatin condensation and fine-tuning of Rnf12 dosage were crucial for Xist imprint maintenance by silencing Xm-Xist. X-inactive specific transcript (Xist) is essential a large non-coding RNA for establishment of X chromosome inactivation in female mammals. The aberrant X chromosome inactivation critically affects cellular viability. Therefore, spatiotemporal regulation of Xist expression is required for proper development. In mice, Xist expression is imprinted in early embryonic development and maternal Xist is never expressed during preimplantation phases irrespective of the presence of Xist activator, maternal Rnf12. Generally, parental origin-specific expression pattern of autosomal imprinted genes is maintained in various types of embryos. However, Xist imprinting for transcriptional silencing of maternal Xist was erased in cloned or parthenogenetic but not fertilized embryos. Here, we dissect the molecular mechanism underlying the variable nature of Xist imprinting. We show that in fertilized embryos, chromatin condensation states are essential maternal Xist repression in early preimplantation phases, whereas at late preimplantation stages, pluripotency factor Oct4 serves as a chromatin opener and the maintenance of Xist silencing depends on Rnf12 expression dosage. Although the Oct4 mediated chromatin decondensation also occurs in parthenogetic embryos, Rnf12 overdose causes maternal Xist derepression at late preimplantation phases. Thus these findings reveal that the chromatin regulation by pluripotency factor and Xist activator dose define Xist imprinting state.
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Affiliation(s)
- Atsushi Fukuda
- Center for Regenerative Medicine, National Research Institute for Child Health and Development, Okura, Setagaya, Tokyo, Japan
| | - Atsushi Mitani
- Center for Regenerative Medicine, National Research Institute for Child Health and Development, Okura, Setagaya, Tokyo, Japan
- Department of Molecular Genetics, Kitasato University Graduate School of Medical Sciences, Kitasato, Minami, Sagamihara, Kanagawa, Japan
| | - Toshiyuki Miyashita
- Department of Molecular Genetics, Kitasato University Graduate School of Medical Sciences, Kitasato, Minami, Sagamihara, Kanagawa, Japan
| | - Takashi Sado
- Department of Advanced Bioscience, Graduate School of Agriculture, Kindai University, Nakamachi, Nara, Japan
| | - Akihiro Umezawa
- Center for Regenerative Medicine, National Research Institute for Child Health and Development, Okura, Setagaya, Tokyo, Japan
| | - Hidenori Akutsu
- Center for Regenerative Medicine, National Research Institute for Child Health and Development, Okura, Setagaya, Tokyo, Japan
- Department of Stem Cell Research, Fukushima Medical University, Hikarigaoka, Fukushima City, Fukushima, Japan
- * E-mail:
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Hibshman JD, Hung A, Baugh LR. Maternal Diet and Insulin-Like Signaling Control Intergenerational Plasticity of Progeny Size and Starvation Resistance. PLoS Genet 2016; 12:e1006396. [PMID: 27783623 PMCID: PMC5081166 DOI: 10.1371/journal.pgen.1006396] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Accepted: 09/29/2016] [Indexed: 12/12/2022] Open
Abstract
Maternal effects of environmental conditions produce intergenerational phenotypic plasticity. Adaptive value of these effects depends on appropriate anticipation of environmental conditions in the next generation, and mismatch between conditions may contribute to disease. However, regulation of intergenerational plasticity is poorly understood. Dietary restriction (DR) delays aging but maternal effects have not been investigated. We demonstrate maternal effects of DR in the roundworm C. elegans. Worms cultured in DR produce fewer but larger progeny. Nutrient availability is assessed in late larvae and young adults, rather than affecting a set point in young larvae, and maternal age independently affects progeny size. Reduced signaling through the insulin-like receptor daf-2/InsR in the maternal soma causes constitutively large progeny, and its effector daf-16/FoxO is required for this effect. nhr-49/Hnf4, pha-4/FoxA, and skn-1/Nrf also regulate progeny-size plasticity. Genetic analysis suggests that insulin-like signaling controls progeny size in part through regulation of nhr-49/Hnf4, and that pha-4/FoxA and skn-1/Nrf function in parallel to insulin-like signaling and nhr-49/Hnf4. Furthermore, progeny of DR worms are buffered from adverse consequences of early-larval starvation, growing faster and producing more offspring than progeny of worms fed ad libitum. These results suggest a fitness advantage when mothers and their progeny experience nutrient stress, compared to an environmental mismatch where only progeny are stressed. This work reveals maternal provisioning as an organismal response to DR, demonstrates potentially adaptive intergenerational phenotypic plasticity, and identifies conserved pathways mediating these effects. Information from a mother’s environment can be transmitted to her offspring. In theory, the way mothers provision offspring can be beneficial or pathological depending on whether the environments of the mother and her offspring match. We find that roundworms fed a restricted diet produce fewer but larger offspring. These offspring recover better from starvation, growing faster and having increased fertility. Thus, we find that worms are more likely to thrive after early-life starvation if their mothers have been preconditioned with limited nutrient availability. We describe a genetic network that mediates effects of a mother’s diet on the size and starvation resistance of her offspring. The same genes required to extend the lifespan of worms fed a restricted diet are also required for the differential maternal provisioning we describe. In particular, insulin-like signaling, pha-4/FoxA, skn-1/Nrf, and nhr-49/Hnf4 function in the mother to transmit information about her diet to her offspring. Our work underscores the impact of maternal diet on reproductive health, with consequences for offspring physiology. The conserved genetic network controlling such effects of diet across generations is likely relevant to human diseases related to nutrient sensing and storage.
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Affiliation(s)
- Jonathan D. Hibshman
- Department of Biology, Duke University, Durham, North Carolina, United States of America
- University Program in Genetics and Genomics, Duke University, Durham, North Carolina, United States of America
| | - Anthony Hung
- Department of Biology, Duke University, Durham, North Carolina, United States of America
| | - L. Ryan Baugh
- Department of Biology, Duke University, Durham, North Carolina, United States of America
- University Program in Genetics and Genomics, Duke University, Durham, North Carolina, United States of America
- * E-mail:
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Prasad RB, Lessmark A, Almgren P, Kovacs G, Hansson O, Oskolkov N, Vitai M, Ladenvall C, Kovacs P, Fadista J, Lachmann M, Zhou Y, Sonestedt E, Poon W, Wollheim CB, Orho-Melander M, Stumvoll M, Tuomi T, Pääbo S, Koranyi L, Groop L. Excess maternal transmission of variants in the THADA gene to offspring with type 2 diabetes. Diabetologia 2016; 59:1702-13. [PMID: 27155871 DOI: 10.1007/s00125-016-3973-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 04/01/2016] [Indexed: 02/04/2023]
Abstract
AIMS/HYPOTHESIS Genome-wide association studies (GWAS) have identified more than 65 genetic loci associated with risk of type 2 diabetes. However, the contribution of distorted parental transmission of alleles to risk of type 2 diabetes has been mostly unexplored. Our goal was therefore to search for parent-of-origin effects (POE) among type 2 diabetes loci in families. METHODS Families from the Botnia study (n = 4,211, 1,083 families) were genotyped for 72 single-nucleotide polymorphisms (SNPs) associated with type 2 diabetes and assessed for POE on type 2 diabetes. The family-based Hungarian Transdanubian Biobank (HTB) (n = 1,463, >135 families) was used to replicate SNPs showing POE. Association of type 2 diabetes loci within families was also tested. RESULTS Three loci showed nominal POE, including the previously reported variants in KCNQ1, for type 2 diabetes in families from Botnia (rs2237895: p POE = 0.037), which can be considered positive controls. The strongest POE was seen for rs7578597 SNP in the THADA gene, showing excess transmission of the maternal risk allele T to diabetic offspring (Botnia: p POE = 0.01; HTB p POE = 0.045). These data are consistent with previous evidence of allelic imbalance for expression in islets, suggesting that the THADA gene can be imprinted in a POE-specific fashion. Five CpG sites, including those flanking rs7578597, showed differential methylation between diabetic and non-diabetic donor islets. CONCLUSIONS/INTERPRETATION Taken together, the data emphasise the need for genetic studies to consider from which parent an offspring has inherited a susceptibility allele.
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Affiliation(s)
- Rashmi B Prasad
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden.
| | - Anna Lessmark
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Peter Almgren
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | | | - Ola Hansson
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Nikolay Oskolkov
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Marta Vitai
- Heart Center Foundation, DRC, Balatonfured, Hungary
| | - Claes Ladenvall
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Peter Kovacs
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Joao Fadista
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | | | - Yuedan Zhou
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Emily Sonestedt
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Wenny Poon
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Claes B Wollheim
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
- Department of Cell Physiology and Metabolism, University Medical Center, Geneva, Switzerland
| | - Marju Orho-Melander
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Tiinamaija Tuomi
- Folkhälsan Research Centre, Helsinki, Finland
- Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland
| | - Svante Pääbo
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | | | - Leif Groop
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University CRC, Skåne University Hospital Malmö, SE-205 02, Malmö, Sweden.
- Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland.
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Zhong J, Xu C, Gabbay-Benziv R, Lin X, Yang P. Superoxide dismutase 2 overexpression alleviates maternal diabetes-induced neural tube defects, restores mitochondrial function and suppresses cellular stress in diabetic embryopathy. Free Radic Biol Med 2016; 96:234-44. [PMID: 27130031 PMCID: PMC4912469 DOI: 10.1016/j.freeradbiomed.2016.04.030] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 04/21/2016] [Accepted: 04/25/2016] [Indexed: 12/13/2022]
Abstract
Pregestational diabetes disrupts neurulation leading to neural tube defects (NTDs). Oxidative stress resulting from reactive oxygen species (ROS) plays a central role in the induction of NTD formation in diabetic pregnancies. We aimed to determine whether mitochondrial dysfunction increases ROS production leading to oxidative stress and diabetic embryopathy. Overexpression of the mitochondrion-specific antioxidant enzyme superoxide dismutase 2 (SOD2) in a transgenic (Tg) mouse model significantly reduced maternal diabetes-induced NTDs. SOD2 overexpression abrogated maternal diabetes-induced mitochondrial dysfunction by inhibiting mitochondrial translocation of the pro-apoptotic Bcl-2 family members, reducing the number of defective mitochondria in neuroepithelial cells, and decreasing mitochondrial membrane potential. Furthermore, SOD2 overexpression blocked maternal diabetes-increased ROS production by diminishing dihydroethidium staining signals in the developing neuroepithelium, and reducing the levels of nitrotyrosine-modified proteins and lipid hydroperoxide level in neurulation stage embryos. SOD2 overexpression also abolished maternal diabetes-induced endoplasmic reticulum stress. Finally, caspase-dependent neuroepithelial cell apoptosis enhanced by oxidative stress was significantly reduced by SOD2 overexpression. Thus, our findings support the hypothesis that mitochondrial dysfunction in the developing neuroepithelium enhances ROS production, which leads to oxidative stress and endoplasmic reticulum (ER) stress. SOD2 overexpression blocks maternal diabetes-induced oxidative stress and ER stress, and reduces the incidence of NTDs in embryos exposed to maternal diabetes.
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Affiliation(s)
- Jianxiang Zhong
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, United States
| | - Cheng Xu
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, United States
| | - Rinat Gabbay-Benziv
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, United States
| | - Xue Lin
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, United States
| | - Peixin Yang
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, United States; Department of Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, MD 21201, United States.
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45
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Alba C, Moravcová L, Pyšek P. Geographic structuring and transgenerational maternal effects shape germination in native, but not introduced, populations of a widespread plant invader. Am J Bot 2016; 103:837-844. [PMID: 27208352 DOI: 10.3732/ajb.1600099] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Accepted: 03/25/2016] [Indexed: 06/05/2023]
Abstract
PREMISE OF THE STUDY Germination is critical in determining species distributions and invasion dynamics. However, is it unclear how often invasive populations evolve germination characteristics different from native populations, because few studies have isolated genetic variation by using seed from garden-grown plants. Additionally, while herbivore-induced transgenerational effects are common, it is unknown whether maternal herbivory differentially shapes germination in native and introduced offspring. METHODS We explored germination in native and introduced populations of the North American invader Verbascum thapsus using seed from garden-grown maternal plants, half of which were protected from herbivores. To elucidate (1) germination niche breadth and (2) whether germination conditions affected expression of genetic structuring among populations, we germinated seed under four ecologically relevant temperature regimes. KEY RESULTS Native populations had a wide germination niche breadth, germinating as well as or better than introduced populations. At cooler temperatures, native populations exhibited a genetically based environmental cline indicative of local adaptation, with populations from warmer locales germinating better than populations from cooler locales. However, this cline was obscured when maternal plants were attacked by herbivores, revealing that local stressors can override the expression of geographic structuring. Introduced populations did not exhibit clinal variation, suggesting its disruption during the introduction process. CONCLUSIONS Native and introduced populations have evolved genetic differences in germination. The result of this difference manifests in a wider germination niche breadth in natives, suggesting that the invasive behavior of V. thapsus in North America is attributable to other factors.
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Affiliation(s)
- Christina Alba
- Department of Invasion Ecology, Institute of Botany, The Czech Academy of Sciences, CZ-252 43 Zámek 1, Průhonice, Czech Republic
| | - Lenka Moravcová
- Department of Invasion Ecology, Institute of Botany, The Czech Academy of Sciences, CZ-252 43 Zámek 1, Průhonice, Czech Republic
| | - Petr Pyšek
- Department of Invasion Ecology, Institute of Botany, The Czech Academy of Sciences, CZ-252 43 Zámek 1, Průhonice, Czech Republic Department of Ecology, Charles University in Prague, CZ-128 44 Viničná 7, Prague, Czech Republic
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Maye JE, Betensky RA, Gidicsin CM, Locascio J, Becker JA, Pepin L, Carmasin J, Rentz DM, Marshall GA, Blacker D, Sperling RA, Johnson KA. Maternal dementia age at onset in relation to amyloid burden in non-demented elderly offspring. Neurobiol Aging 2016; 40:61-67. [PMID: 26973104 PMCID: PMC4792089 DOI: 10.1016/j.neurobiolaging.2015.12.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Revised: 12/18/2015] [Accepted: 12/21/2015] [Indexed: 01/17/2023]
Abstract
Family history (FH) of dementia is a major risk factor for Alzheimer's disease, particularly when the FH is maternal and when the age of dementia onset (AO) is younger. This study tested whether brain amyloid-beta deposition, measured in vivo with (11)C-Pittsburgh compound B (PiB), was associated with parental dementia and/or younger parental AO. Detailed FH and positron emission tomography (PiB) data were acquired in 147 nondemented aging individuals (mean age 75 ± 8). No participant had both positive maternal and paternal FH. A series of analyses revealed that those with maternal, but not paternal, FH had greater levels of PiB retention in a global cortical region than those without FH. PiB retention in maternal FH was not significantly greater than paternal FH. Younger maternal dementia AO was related to greater PiB retention in offspring, whereas younger paternal dementia AO was not. Overall, results suggest that not only is amyloid-beta burden greater in individuals with maternal FH, but also that the burden is greater in association with younger maternal AO.
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Affiliation(s)
- Jacqueline E Maye
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
| | - Rebecca A Betensky
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Christopher M Gidicsin
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joseph Locascio
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - J Alex Becker
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Lesley Pepin
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeremy Carmasin
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY, USA
| | - Dorene M Rentz
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Gad A Marshall
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Deborah Blacker
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Reisa A Sperling
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Keith A Johnson
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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