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Sandoval-Velasco M, Dudchenko O, Rodríguez JA, Pérez Estrada C, Dehasque M, Fontsere C, Mak SST, Khan R, Contessoto VG, Oliveira Junior AB, Kalluchi A, Zubillaga Herrera BJ, Jeong J, Roy RP, Christopher I, Weisz D, Omer AD, Batra SS, Shamim MS, Durand NC, O'Connell B, Roca AL, Plikus MV, Kusliy MA, Romanenko SA, Lemskaya NA, Serdyukova NA, Modina SA, Perelman PL, Kizilova EA, Baiborodin SI, Rubtsov NB, Machol G, Rath K, Mahajan R, Kaur P, Gnirke A, Garcia-Treviño I, Coke R, Flanagan JP, Pletch K, Ruiz-Herrera A, Plotnikov V, Pavlov IS, Pavlova NI, Protopopov AV, Di Pierro M, Graphodatsky AS, Lander ES, Rowley MJ, Wolynes PG, Onuchic JN, Dalén L, Marti-Renom MA, Gilbert MTP, Aiden EL. Three-dimensional genome architecture persists in a 52,000-year-old woolly mammoth skin sample. Cell 2024; 187:3541-3562.e51. [PMID: 38996487 DOI: 10.1016/j.cell.2024.06.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 03/07/2024] [Accepted: 06/03/2024] [Indexed: 07/14/2024]
Abstract
Analyses of ancient DNA typically involve sequencing the surviving short oligonucleotides and aligning to genome assemblies from related, modern species. Here, we report that skin from a female woolly mammoth (†Mammuthus primigenius) that died 52,000 years ago retained its ancient genome architecture. We use PaleoHi-C to map chromatin contacts and assemble its genome, yielding 28 chromosome-length scaffolds. Chromosome territories, compartments, loops, Barr bodies, and inactive X chromosome (Xi) superdomains persist. The active and inactive genome compartments in mammoth skin more closely resemble Asian elephant skin than other elephant tissues. Our analyses uncover new biology. Differences in compartmentalization reveal genes whose transcription was potentially altered in mammoths vs. elephants. Mammoth Xi has a tetradic architecture, not bipartite like human and mouse. We hypothesize that, shortly after this mammoth's death, the sample spontaneously freeze-dried in the Siberian cold, leading to a glass transition that preserved subfossils of ancient chromosomes at nanometer scale.
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Affiliation(s)
| | - Olga Dudchenko
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA.
| | - Juan Antonio Rodríguez
- Center for Evolutionary Hologenomics, University of Copenhagen, DK-1353 Copenhagen, Denmark; Centre Nacional d'Anàlisi Genòmica, CNAG, 08028 Barcelona, Spain
| | - Cynthia Pérez Estrada
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA
| | - Marianne Dehasque
- Centre for Palaeogenetics, SE-106 91 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 10405 Stockholm, Sweden; Department of Zoology, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Claudia Fontsere
- Center for Evolutionary Hologenomics, University of Copenhagen, DK-1353 Copenhagen, Denmark
| | - Sarah S T Mak
- Center for Evolutionary Hologenomics, University of Copenhagen, DK-1353 Copenhagen, Denmark
| | - Ruqayya Khan
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | | | | | - Achyuth Kalluchi
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Bernardo J Zubillaga Herrera
- Department of Physics, Northeastern University, Boston, MA 02115, USA; Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02215, USA
| | - Jiyun Jeong
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Renata P Roy
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA; Departments of Biology and Physics, Texas Southern University, Houston, TX 77004, USA
| | - Ishawnia Christopher
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - David Weisz
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Arina D Omer
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Sanjit S Batra
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Muhammad S Shamim
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Neva C Durand
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Brendan O'Connell
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA; Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR 97239, USA
| | - Alfred L Roca
- Department of Animal Sciences and Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Maksim V Plikus
- Department of Developmental and Cell Biology, University of California, Irvine, Irvine, CA 92697, USA
| | - Mariya A Kusliy
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk 630090, Russia
| | | | - Natalya A Lemskaya
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk 630090, Russia
| | | | - Svetlana A Modina
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk 630090, Russia
| | - Polina L Perelman
- Institute of Molecular and Cellular Biology SB RAS, Novosibirsk 630090, Russia
| | - Elena A Kizilova
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia
| | | | - Nikolai B Rubtsov
- Institute of Cytology and Genetics SB RAS, Novosibirsk 630090, Russia
| | - Gur Machol
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Krisha Rath
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ragini Mahajan
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA; Department of Biosciences, Rice University, Houston, TX 77005, USA
| | - Parwinder Kaur
- UWA School of Agriculture and Environment, University of Western Australia, Perth, WA 6009, Australia
| | - Andreas Gnirke
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Rob Coke
- San Antonio Zoo, San Antonio, TX 78212, USA
| | | | | | - Aurora Ruiz-Herrera
- Departament de Biologia Cel·lular, Fisiologia i Immunologia and Genome Integrity and Instability Group, Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain
| | | | | | - Naryya I Pavlova
- Institute of Biological Problems of Cryolitezone SB RAS, Yakutsk 677000, Russia
| | - Albert V Protopopov
- Academy of Sciences of Sakha Republic, Yakutsk 677000, Russia; North-Eastern Federal University, Yakutsk 677027, Russia
| | - Michele Di Pierro
- Department of Physics, Northeastern University, Boston, MA 02115, USA; Center for Theoretical Biological Physics, Northeastern University, Boston, MA 02215, USA
| | | | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - M Jordan Rowley
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Peter G Wolynes
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA; Department of Biosciences, Rice University, Houston, TX 77005, USA; Departments of Physics, Astronomy, & Chemistry, Rice University, Houston, TX 77005, USA
| | - José N Onuchic
- Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA; Department of Biosciences, Rice University, Houston, TX 77005, USA; Departments of Physics, Astronomy, & Chemistry, Rice University, Houston, TX 77005, USA
| | - Love Dalén
- Centre for Palaeogenetics, SE-106 91 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 10405 Stockholm, Sweden; Department of Zoology, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Marc A Marti-Renom
- Centre Nacional d'Anàlisi Genòmica, CNAG, 08028 Barcelona, Spain; Centre for Genomic Regulation, The Barcelona Institute for Science and Technology, 08003 Barcelona, Spain; ICREA, 08010 Barcelona, Spain; Universitat Pompeu Fabra, 08002 Barcelona, Spain.
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, University of Copenhagen, DK-1353 Copenhagen, Denmark; University Museum NTNU, 7012 Trondheim, Norway.
| | - Erez Lieberman Aiden
- The Center for Genome Architecture and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Center for Theoretical Biological Physics, Rice University, Houston, TX 77030, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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Wang Y, Li Y, Wu W, Shao S, Fang Q, Xu S, Guo Z, Shi S, He Z. The evolution history of an allotetraploid mangrove tree analysed with a new tool Allo4D. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:1491-1503. [PMID: 38157253 PMCID: PMC11123425 DOI: 10.1111/pbi.14281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 12/10/2023] [Accepted: 12/20/2023] [Indexed: 01/03/2024]
Abstract
Mangrove species are broadly classified as true mangroves and mangrove associates. The latter are amphibious plants that can survive in the intertidal zone and reproduce naturally in terrestrial environments. Their widespread distribution and extensive adaptability make them ideal research materials for exploring adaptive evolution. In this study, we de novo assembled two genomes of mangrove associates (the allotetraploid Barringtonia racemosa (2n = 4x = 52) and diploid Barringtonia asiatica (2n = 2x = 26)) to investigate the role of allopolyploidy in the evolutionary history of mangrove species. We developed a new allotetraploid-dividing tool Allo4D to distinguish between allotetraploid scaffold-scale subgenomes and verified its accuracy and reliability using real and simulated data. According to the two subgenomes of allotetraploid B. racemosa divided using Allo4D, the allopolyploidization event was estimated to have occurred approximately one million years ago (Mya). We found that B. racemosa, B. asiatica, and Diospyros lotus shared a whole genome duplication (WGD) event during the K-Pg (Cretaceous-Paleozoic) period. K-Pg WGD and recent allopolyploidization events contributed to the speciation of B. racemosa and its adaptation to coastal habitats. We found that genes in the glucosinolates (GSLs) pathway, an essential pathway in response to various biotic and abiotic stresses, expanded rapidly in B. racemosa during polyploidization. In summary, this study provides a typical example of the adaptation of allopolyploid plants to extreme environmental conditions. The newly developed tool, Allo4D, can effectively divide allotetraploid subgenomes and explore the evolutionary history of polyploid plants, especially for species whose ancestors are unknown or extinct.
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Affiliation(s)
- Yuan Wang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Yulong Li
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
- School of EcologySun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Weihong Wu
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Shao Shao
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Qi Fang
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Shaohua Xu
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
- School of EcologySun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Zixiao Guo
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Suhua Shi
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
| | - Ziwen He
- State Key Laboratory of Biocontrol and Guangdong Provincial Key Laboratory of Plant Resources, School of Life SciencesSun Yat‐sen UniversityGuangzhouGuangdongChina
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3
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Ding Y, Zou M, Guo B. Genomic signatures associated with recurrent scale loss in cyprinid fish. Integr Zool 2024. [PMID: 38816909 DOI: 10.1111/1749-4877.12851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Scale morphology represents a fundamental feature of fish and a key evolutionary trait underlying fish diversification. Despite frequent and recurrent scale loss throughout fish diversification, comprehensive genome-wide analyses of the genomic signatures associated with scale loss in divergent fish lineages remain scarce. In the current study, we investigated genome-wide signatures, specifically convergent protein-coding gene loss, amino acid substitutions, and cis-regulatory sequence changes, associated with recurrent scale loss in two divergent Cypriniformes lineages based on large-scale genomic, transcriptomic, and epigenetic data. Results demonstrated convergent changes in many genes related to scale formation in divergent scaleless fish lineages, including loss of P/Q-rich scpp genes (e.g. scpp6 and scpp7), accelerated evolution of non-coding elements adjacent to the fgf and fgfr genes, and convergent amino acid changes in genes (e.g. snap29) under relaxed selection. Collectively, these findings highlight the existence of a shared genetic architecture underlying recurrent scale loss in divergent fish lineages, suggesting that evolutionary outcomes may be genetically repeatable and predictable in the convergence of scale loss in fish.
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Affiliation(s)
- Yongli Ding
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ming Zou
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Baocheng Guo
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- Academy of Plateau Science and Sustainability, Qinghai Normal University, Xining, China
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4
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Soria E, Lu Q, Boswell W, Du K, Xing Y, Boswell M, Weldon KS, Lai Z, Savage M, Schartl M, Lu Y. Segregation between an ornamental and a disease driver gene provides insights into pigment cell regulation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.20.595041. [PMID: 38826429 PMCID: PMC11142077 DOI: 10.1101/2024.05.20.595041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Genetic interactions are adaptive within a species. Hybridization can disrupt such species-specific genetic interactions and creates novel interactions that alter the hybrid progeny overall fitness. Hybrid incompatibility, which refers to degenerative genetic interactions that decrease the overall hybrid survival, is one of the results from combining two diverged genomes in hybrids. The discovery of spontaneous lethal tumorigenesis and underlying genetic interactions in select hybrids between diverged Xiphophorus species showed that lethal pathological process can result from degenerative genetic interactions. Such genetic interactions leading to lethal phenotype are thought to shield gene flow between diverged species. However, hybrids between certain Xiphophorus species do not develop such tumors. Here we report the identification of a locus residing in the genome of one Xiphophorus species that represses an oncogene from a different species. Our finding provides insights into normal and pathological pigment cell development, regulation and molecular mechanism in hybrid incompatibility. Significance The Dobzhansky-Muller model states epistatic interactions occurred between genes in diverged species underlies hybrid incompatibility. There are a few vertebrate interspecies hybrid cases that support the Dobzhansky-Muller model. This study reports a fish hybrid system where incompatible genetic interactions are involved in neuronal regulation of pigment cell biology, and also identified a novel point of regulation for pigment cells.
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5
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Roces V, Guerrero S, Álvarez A, Pascual J, Meijón M. PlantFUNCO: Integrative Functional Genomics Database Reveals Clues into Duplicates Divergence Evolution. Mol Biol Evol 2024; 41:msae042. [PMID: 38411627 PMCID: PMC10917205 DOI: 10.1093/molbev/msae042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 02/28/2024] Open
Abstract
Evolutionary epigenomics and, more generally, evolutionary functional genomics, are emerging fields that study how non-DNA-encoded alterations in gene expression regulation are an important form of plasticity and adaptation. Previous evidence analyzing plants' comparative functional genomics has mostly focused on comparing same assay-matched experiments, missing the power of heterogeneous datasets for conservation inference. To fill this gap, we developed PlantFUN(ctional)CO(nservation) database, which is constituted by several tools and two main resources: interspecies chromatin states and functional genomics conservation scores, presented and analyzed in this work for three well-established plant models (Arabidopsis thaliana, Oryza sativa, and Zea mays). Overall, PlantFUNCO elucidated evolutionary information in terms of cross-species functional agreement. Therefore, providing a new complementary comparative-genomics source for assessing evolutionary studies. To illustrate the potential applications of this database, we replicated two previously published models predicting genetic redundancy in A. thaliana and found that chromatin states are a determinant of paralogs degree of functional divergence. These predictions were validated based on the phenotypes of mitochondrial alternative oxidase knockout mutants under two different stressors. Taking all the above into account, PlantFUNCO aim to leverage data diversity and extrapolate molecular mechanisms findings from different model organisms to determine the extent of functional conservation, thus, deepening our understanding of how plants epigenome and functional noncoding genome have evolved. PlantFUNCO is available at https://rocesv.github.io/PlantFUNCO.
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Affiliation(s)
- Víctor Roces
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of Asturias, University of Oviedo, Asturias, Spain
| | - Sara Guerrero
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of Asturias, University of Oviedo, Asturias, Spain
| | - Ana Álvarez
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of Asturias, University of Oviedo, Asturias, Spain
| | - Jesús Pascual
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of Asturias, University of Oviedo, Asturias, Spain
| | - Mónica Meijón
- Plant Physiology, Department of Organisms and Systems Biology, Faculty of Biology and Biotechnology Institute of Asturias, University of Oviedo, Asturias, Spain
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6
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Bukhman YV, Meyer S, Chu LF, Abueg L, Antosiewicz-Bourget J, Balacco J, Brecht M, Dinatale E, Fedrigo O, Formenti G, Fungtammasan A, Giri SJ, Hiller M, Howe K, Kihara D, Mamott D, Mountcastle J, Pelan S, Rabbani K, Sims Y, Tracey A, Wood JMD, Jarvis ED, Thomson JA, Chaisson MJP, Stewart R. Chromosome level genome assembly of the Etruscan shrew Suncus etruscus. Sci Data 2024; 11:176. [PMID: 38326333 PMCID: PMC10850158 DOI: 10.1038/s41597-024-03011-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 01/26/2024] [Indexed: 02/09/2024] Open
Abstract
Suncus etruscus is one of the world's smallest mammals, with an average body mass of about 2 grams. The Etruscan shrew's small body is accompanied by a very high energy demand and numerous metabolic adaptations. Here we report a chromosome-level genome assembly using PacBio long read sequencing, 10X Genomics linked short reads, optical mapping, and Hi-C linked reads. The assembly is partially phased, with the 2.472 Gbp primary pseudohaplotype and 1.515 Gbp alternate. We manually curated the primary assembly and identified 22 chromosomes, including X and Y sex chromosomes. The NCBI genome annotation pipeline identified 39,091 genes, 19,819 of them protein-coding. We also identified segmental duplications, inferred GO term annotations, and computed orthologs of human and mouse genes. This reference-quality genome will be an important resource for research on mammalian development, metabolism, and body size control.
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Affiliation(s)
- Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, 330 N. Orchard St., Madison, WI, 53715, USA.
| | - Susanne Meyer
- Neuroscience Research Institute, University of California - Santa Barbara, 494 UCEN Rd, Isla Vista, CA, 93117, USA
| | - Li-Fang Chu
- Department of Comparative Biology and Experimental Medicine, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada
| | - Linelle Abueg
- Vertebrate Genome Lab, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
| | | | - Jennifer Balacco
- Vertebrate Genome Lab, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
| | - Michael Brecht
- BCCN/Humboldt University Berlin, Philippstr, 13 House 6, 10115, Berlin, Germany
| | - Erica Dinatale
- Max Planck Institute for Biology Tübingen, Max-Planck-Ring 5, 72076, Tübingen, Germany
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
| | - Giulio Formenti
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, 1230 York Avenue, New York, NY, 10065, USA
| | | | - Swagarika Jaharlal Giri
- Department of Computer Science, Purdue University, 249 S. Martin Jischke Dr, West Lafayette, IN, 47907, USA
| | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325, Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325, Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, Max-von-Laue-Str. 9, 60438, Frankfurt, Germany
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Daisuke Kihara
- Department of Computer Science, Purdue University, 249 S. Martin Jischke Dr, West Lafayette, IN, 47907, USA
- Department of Biological Sciences, Purdue University, 249 S. Martin Jischke Dr., West Lafayette, IN, 47907, USA
| | - Daniel Mamott
- Regenerative Biology, Morgridge Institute for Research, 330 N. Orchard St., Madison, WI, 53715, USA
| | - Jacquelyn Mountcastle
- Vertebrate Genome Lab, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
| | - Sarah Pelan
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Keon Rabbani
- Department of Quantitative and Computational Biology, University of Southern California, 1050 Childs Way RRI 408, Los Angeles, CA, 90089, USA
| | - Ying Sims
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Alan Tracey
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | | | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, 1230 York Avenue, New York, NY, 10065, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, 1230 York Avenue, New York, NY, 10065, USA
| | - James A Thomson
- Regenerative Biology, Morgridge Institute for Research, 330 N. Orchard St., Madison, WI, 53715, USA
- Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA, 93106, USA
- Department of Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53726, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, 1050 Childs Way RRI 408, Los Angeles, CA, 90089, USA
| | - Ron Stewart
- Regenerative Biology, Morgridge Institute for Research, 330 N. Orchard St., Madison, WI, 53715, USA
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7
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Kirilenko BM, Munegowda C, Osipova E, Jebb D, Sharma V, Blumer M, Morales AE, Ahmed AW, Kontopoulos DG, Hilgers L, Lindblad-Toh K, Karlsson EK, Hiller M, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X. Integrating gene annotation with orthology inference at scale. Science 2023; 380:eabn3107. [PMID: 37104600 DOI: 10.1126/science.abn3107] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Annotating coding genes and inferring orthologs are two classical challenges in genomics and evolutionary biology that have traditionally been approached separately, limiting scalability. We present TOGA (Tool to infer Orthologs from Genome Alignments), a method that integrates structural gene annotation and orthology inference. TOGA implements a different paradigm to infer orthologous loci, improves ortholog detection and annotation of conserved genes compared with state-of-the-art methods, and handles even highly fragmented assemblies. TOGA scales to hundreds of genomes, which we demonstrate by applying it to 488 placental mammal and 501 bird assemblies, creating the largest comparative gene resources so far. Additionally, TOGA detects gene losses, enables selection screens, and automatically provides a superior measure of mammalian genome quality. TOGA is a powerful and scalable method to annotate and compare genes in the genomic era.
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Affiliation(s)
- Bogdan M Kirilenko
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
| | - Chetan Munegowda
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
| | - Ekaterina Osipova
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
| | - David Jebb
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Virag Sharma
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Moritz Blumer
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Ariadna E Morales
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
| | - Alexis-Walid Ahmed
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
| | - Dimitrios-Georgios Kontopoulos
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
| | - Leon Hilgers
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
| | - Kerstin Lindblad-Toh
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 751 32 Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Elinor K Karlsson
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Program in Bioinformatics and Integrative Biology, UMass Chan Medical School, Worcester, MA 01605, USA
- Program in Molecular Medicine, UMass Chan Medical School, Worcester, MA 01605, USA
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Goethe University Frankfurt, Faculty of Biosciences, 60438 Frankfurt, Germany
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8
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Wolf M, Zapf K, Gupta DK, Hiller M, Árnason Ú, Janke A. The genome of the pygmy right whale illuminates the evolution of rorquals. BMC Biol 2023; 21:79. [PMID: 37041515 PMCID: PMC10091562 DOI: 10.1186/s12915-023-01579-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 03/27/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Baleen whales are a clade of gigantic and highly specialized marine mammals. Their genomes have been used to investigate their complex evolutionary history and to decipher the molecular mechanisms that allowed them to reach these dimensions. However, many unanswered questions remain, especially about the early radiation of rorquals and how cancer resistance interplays with their huge number of cells. The pygmy right whale is the smallest and most elusive among the baleen whales. It reaches only a fraction of the body length compared to its relatives and it is the only living member of an otherwise extinct family. This placement makes the pygmy right whale genome an interesting target to update the complex phylogenetic past of baleen whales, because it splits up an otherwise long branch that leads to the radiation of rorquals. Apart from that, genomic data of this species might help to investigate cancer resistance in large whales, since these mechanisms are not as important for the pygmy right whale as in other giant rorquals and right whales. RESULTS Here, we present a first de novo genome of the species and test its potential in phylogenomics and cancer research. To do so, we constructed a multi-species coalescent tree from fragments of a whole-genome alignment and quantified the amount of introgression in the early evolution of rorquals. Furthermore, a genome-wide comparison of selection rates between large and small-bodied baleen whales revealed a small set of conserved candidate genes with potential connections to cancer resistance. CONCLUSIONS Our results suggest that the evolution of rorquals is best described as a hard polytomy with a rapid radiation and high levels of introgression. The lack of shared positive selected genes between different large-bodied whale species supports a previously proposed convergent evolution of gigantism and hence cancer resistance in baleen whales.
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Affiliation(s)
- Magnus Wolf
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Georg-Voigt-Strasse 14-16, Frankfurt Am Main, Germany
- Institute for Ecology, Evolution and Diversity, Goethe University, Max-Von-Laue-Strasse. 9, Frankfurt Am Main, Germany
| | - Konstantin Zapf
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Georg-Voigt-Strasse 14-16, Frankfurt Am Main, Germany
- Institute for Ecology, Evolution and Diversity, Goethe University, Max-Von-Laue-Strasse. 9, Frankfurt Am Main, Germany
| | - Deepak Kumar Gupta
- LOEWE-Centre for Translational Biodiversity Genomics (TBG), Senckenberg Nature Research Society, Georg-Voigt-Straße 14-16, Frankfurt Am Main, Germany
| | - Michael Hiller
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Georg-Voigt-Strasse 14-16, Frankfurt Am Main, Germany
- LOEWE-Centre for Translational Biodiversity Genomics (TBG), Senckenberg Nature Research Society, Georg-Voigt-Straße 14-16, Frankfurt Am Main, Germany
- Institute of Cell Biology and Neuroscience, Goethe University Frankfurt, Max-Von-Laue-Str. 9, Frankfurt Am Main, Germany
| | - Úlfur Árnason
- Department of Clinical Sciences Lund, Lund University, Lund, Sweden
- Department of Neurosurgery, Skane University Hospital in Lund, Lund, Sweden
| | - Axel Janke
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Georg-Voigt-Strasse 14-16, Frankfurt Am Main, Germany
- Institute for Ecology, Evolution and Diversity, Goethe University, Max-Von-Laue-Strasse. 9, Frankfurt Am Main, Germany
- LOEWE-Centre for Translational Biodiversity Genomics (TBG), Senckenberg Nature Research Society, Georg-Voigt-Straße 14-16, Frankfurt Am Main, Germany
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9
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Wang Y, Wang Y, Cheng X, Ding Y, Wang C, Merilä J, Guo B. Prevalent Introgression Underlies Convergent Evolution in the Diversification of Pungitius Sticklebacks. Mol Biol Evol 2023; 40:7026025. [PMID: 36738166 PMCID: PMC9949714 DOI: 10.1093/molbev/msad026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/16/2022] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
New mutations and standing genetic variations contribute significantly to repeated phenotypic evolution in sticklebacks. However, less is known about the role of introgression in this process. We analyzed taxonomically and geographically comprehensive genomic data from Pungitius sticklebacks to decipher the extent of introgression and its consequences for the diversification of this genus. Our results demonstrate that introgression is more prevalent than suggested by earlier studies. Although gene flow was generally bidirectional, it was often asymmetric and left unequal genomic signatures in hybridizing species, which might, at least partly, be due to biased hybridization and/or population size differences. In several cases, introgression of variants from one species to another was accompanied by transitions of pelvic and/or lateral plate structures-important diagnostic traits in Pungitius systematics-and frequently left signatures of adaptation in the core gene regulatory networks of armor trait development. This finding suggests that introgression has been an important source of genetic variation and enabled phenotypic convergence among Pungitius sticklebacks. The results highlight the importance of introgression of genetic variation as a source of adaptive variation underlying key ecological and taxonomic traits. Taken together, our study indicates that introgression-driven convergence likely explains the long-standing challenges in resolving the taxonomy and systematics of this small but phenotypically highly diverse group of fish.
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Affiliation(s)
- Yu Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Yingnan Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Xiaoqi Cheng
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Yongli Ding
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China,University of Chinese Academy of Sciences, Beijing, China
| | - Chongnv Wang
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Juha Merilä
- Ecological Genetics Research Unit, Research Programme in Organismal and Evolutionary Biology, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland,Area of Ecology and Biodiversity, School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China
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10
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Osipova E, Barsacchi R, Brown T, Sadanandan K, Gaede AH, Monte A, Jarrells J, Moebius C, Pippel M, Altshuler DL, Winkler S, Bickle M, Baldwin MW, Hiller M. Loss of a gluconeogenic muscle enzyme contributed to adaptive metabolic traits in hummingbirds. Science 2023; 379:185-190. [PMID: 36634192 DOI: 10.1126/science.abn7050] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Hummingbirds possess distinct metabolic adaptations to fuel their energy-demanding hovering flight, but the underlying genomic changes are largely unknown. Here, we generated a chromosome-level genome assembly of the long-tailed hermit and screened for genes that have been specifically inactivated in the ancestral hummingbird lineage. We discovered that FBP2 (fructose-bisphosphatase 2), which encodes a gluconeogenic muscle enzyme, was lost during a time period when hovering flight evolved. We show that FBP2 knockdown in an avian muscle cell line up-regulates glycolysis and enhances mitochondrial respiration, coincident with an increased mitochondria number. Furthermore, genes involved in mitochondrial respiration and organization have up-regulated expression in hummingbird flight muscle. Together, these results suggest that FBP2 loss was likely a key step in the evolution of metabolic muscle adaptations required for true hovering flight.
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Affiliation(s)
- Ekaterina Osipova
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany.,Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany.,Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany.,LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany.,Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany.,Goethe-University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
| | - Rico Barsacchi
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - Tom Brown
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany.,Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany.,DRESDEN concept Genome Center, Technische Universität Dresden, 01062 Dresden, Germany
| | - Keren Sadanandan
- Evolution of Sensory Systems Research Group, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Andrea H Gaede
- University of British Columbia, Vancouver, Vancouver, BC V6T 1Z4, Canada.,Structure and Motion Laboratory, Royal Veterinary College, University of London, London, UK
| | - Amanda Monte
- Department of Behavioural Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Julia Jarrells
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - Claudia Moebius
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany.,Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | | | - Sylke Winkler
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany.,DRESDEN concept Genome Center, Technische Universität Dresden, 01062 Dresden, Germany
| | - Marc Bickle
- Roche Institute for Translational Bioengineering, Grenzacherstrasse 124, 4070 Basel, Switzerland
| | - Maude W Baldwin
- Evolution of Sensory Systems Research Group, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany.,Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany.,Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany.,LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany.,Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany.,Goethe-University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
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11
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Song C, Li W, Wang Z. The Landscape of Liver Chromatin Accessibility and Conserved Non-coding Elements in Larimichthys crocea, Nibea albiflora, and Lateolabrax maculatus. MARINE BIOTECHNOLOGY (NEW YORK, N.Y.) 2022; 24:763-775. [PMID: 35895229 DOI: 10.1007/s10126-022-10142-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
Large yellow croaker (Larimichthys crocea), yellow drum (Nibea albiflora), and Chinese seabass (Lateolabrax maculatus) are important economic marine fishes in China. The conserved non-coding elements (CNEs) in the liver tissues of the three kinds of fish are directly or indirectly involved in the regulation of gene expression and affect liver functions. However, the fishes' CNEs and even chromatin accessibility landscape have not been effectively investigated. Hence, this study established the landscapes of the fishes' genome-wide chromatin accessibility and CNEs by detecting regions of the open chromatin in their livers using an assay for transposase-accessible chromatin by high-throughput sequencing (ATAC-seq) and comparative genomics approach. The results showed that Smad1, Sp1, and Foxl1 transcription factor binding motifs were considerably enriched in the chromatin accessibility landscape in the liver of the three species, and the three transcription factors (TFs) had a wide range of common targets. The hypothetical gene set was targeted by one, two, or all three TFs, which was much higher than would be expected for an accidental outcome. The gene sets near the CNEs were mainly enriched through processes such as a macromolecule metabolic process and ribonucleoprotein complex biogenesis. The active CNEs were found in the promoter regions of genes such as ap1g1, hax1, and ndufs2. And 5 CNEs were predicted to be highly conserved active enhancers. These results demonstrated that Smad1, Sp1, and Foxl1 might be related to the liver function in the three fishes. In addition, we found a series of ATAC-seq-labeled CNEs located in the gene promoter regions, and highly conserved H3k27ac + -labeled CNEs located in the liver function genes. The highly conserved nature of these regulatory elements suggests that they play important roles in the liver in fish. This study mined the landscape of chromatin accessibility and CNEs of three important economic fishes to fill the knowledge gaps in this field. Moreover, the work provides useful data for the industrial application and theoretical research of these three fish species.
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Affiliation(s)
- Chaowei Song
- Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, Jimei University, Xiamen, China
| | - Wanbo Li
- Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, Jimei University, Xiamen, China
| | - Zhiyong Wang
- Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, Jimei University, Xiamen, China.
- Laboratory for Marine Fisheries Science and Food Production Processes, National Laboratory for Marine Science and Technology, Qingdao, China.
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12
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Contradictory Phylogenetic Signals in the Laurasiatheria Anomaly Zone. Genes (Basel) 2022; 13:genes13050766. [PMID: 35627151 PMCID: PMC9141728 DOI: 10.3390/genes13050766] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 04/12/2022] [Accepted: 04/21/2022] [Indexed: 02/04/2023] Open
Abstract
Relationships among laurasiatherian clades represent one of the most highly disputed topics in mammalian phylogeny. In this study, we attempt to disentangle laurasiatherian interordinal relationships using two independent genome-level approaches: (1) quantifying retrotransposon presence/absence patterns, and (2) comparisons of exon datasets at the levels of nucleotides and amino acids. The two approaches revealed contradictory phylogenetic signals, possibly due to a high level of ancestral incomplete lineage sorting. The positions of Eulipotyphla and Chiroptera as the first and second earliest divergences were consistent across the approaches. However, the phylogenetic relationships of Perissodactyla, Cetartiodactyla, and Ferae, were contradictory. While retrotransposon insertion analyses suggest a clade with Cetartiodactyla and Ferae, the exon dataset favoured Cetartiodactyla and Perissodactyla. Future analyses of hitherto unsampled laurasiatherian lineages and synergistic analyses of retrotransposon insertions, exon and conserved intron/intergenic sequences might unravel the conflicting patterns of relationships in this major mammalian clade.
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13
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Robledo-Ruiz DA, Gan HM, Kaur P, Dudchenko O, Weisz D, Khan R, Lieberman Aiden E, Osipova E, Hiller M, Morales HE, Magrath MJL, Clarke RH, Sunnucks P, Pavlova A. Chromosome-length genome assembly and linkage map of a critically endangered Australian bird: the helmeted honeyeater. Gigascience 2022; 11:6554768. [PMID: 35348671 PMCID: PMC8963300 DOI: 10.1093/gigascience/giac025] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 01/13/2022] [Accepted: 02/14/2022] [Indexed: 11/17/2022] Open
Abstract
Background The helmeted honeyeater (Lichenostomus melanops cassidix) is a Critically Endangered bird endemic to Victoria, Australia. To aid its conservation, the population is the subject of genetic rescue. To understand, monitor, and modulate the effects of genetic rescue on the helmeted honeyeater genome, a chromosome-length genome and a high-density linkage map are required. Results We used a combination of Illumina, Oxford Nanopore, and Hi-C sequencing technologies to assemble a chromosome-length genome of the helmeted honeyeater, comprising 906 scaffolds, with length of 1.1 Gb and scaffold N50 of 63.8 Mb. Annotation comprised 57,181 gene models. Using a pedigree of 257 birds and 53,111 single-nucleotide polymorphisms, we obtained high-density linkage and recombination maps for 25 autosomes and Z chromosome. The total sex-averaged linkage map was 1,347 cM long, with the male map being 6.7% longer than the female map. Recombination maps revealed sexually dimorphic recombination rates (overall higher in males), with average recombination rate of 1.8 cM/Mb. Comparative analyses revealed high synteny of the helmeted honeyeater genome with that of 3 passerine species (e.g., 32 Hi-C scaffolds mapped to 30 zebra finch autosomes and Z chromosome). The genome assembly and linkage map suggest that the helmeted honeyeater exhibits a fission of chromosome 1A into 2 chromosomes relative to zebra finch. PSMC analysis showed a ∼15-fold decline in effective population size to ∼60,000 from mid- to late Pleistocene. Conclusions The annotated chromosome-length genome and high-density linkage map provide rich resources for evolutionary studies and will be fundamental in guiding conservation efforts for the helmeted honeyeater.
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Affiliation(s)
| | - Han Ming Gan
- Deakin Genomics Centre, Deakin University, Geelong, VIC 3220, Australia.,GeneSEQ Sdn Bhd, 48300 Rawang, Selangor, Malaysia
| | - Parwinder Kaur
- UWA School of Agriculture and Environment, The University of Western Australia, Perth WA 6009,Australia
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Center for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX 77030, USA
| | - David Weisz
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Ruqayya Khan
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Erez Lieberman Aiden
- UWA School of Agriculture and Environment, The University of Western Australia, Perth WA 6009,Australia.,The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Center for Theoretical Biological Physics and Department of Computer Science, Rice University, Houston, TX 77030, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA.,Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech, Pudong 201210, China
| | - Ekaterina Osipova
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr 108, 101307 Dresden, Germany.,LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany.,Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany.,Goethe-University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr 108, 101307 Dresden, Germany.,LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany.,Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany.,Goethe-University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
| | - Hernán E Morales
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Denmark
| | - Michael J L Magrath
- Department of Wildlife Conservation and Science, Zoos Victoria, Parkville, VIC 3052, Australia
| | - Rohan H Clarke
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Paul Sunnucks
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
| | - Alexandra Pavlova
- School of Biological Sciences, Monash University, Clayton, VIC 3800, Australia
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14
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Blumer M, Brown T, Freitas MB, Destro AL, Oliveira JA, Morales AE, Schell T, Greve C, Pippel M, Jebb D, Hecker N, Ahmed AW, Kirilenko BM, Foote M, Janke A, Lim BK, Hiller M. Gene losses in the common vampire bat illuminate molecular adaptations to blood feeding. SCIENCE ADVANCES 2022; 8:eabm6494. [PMID: 35333583 PMCID: PMC8956264 DOI: 10.1126/sciadv.abm6494] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Vampire bats are the only mammals that feed exclusively on blood. To uncover genomic changes associated with this dietary adaptation, we generated a haplotype-resolved genome of the common vampire bat and screened 27 bat species for genes that were specifically lost in the vampire bat lineage. We found previously unknown gene losses that relate to reduced insulin secretion (FFAR1 and SLC30A8), limited glycogen stores (PPP1R3E), and a unique gastric physiology (CTSE). Other gene losses likely reflect the biased nutrient composition (ERN2 and CTRL) and distinct pathogen diversity of blood (RNASE7) and predict the complete lack of cone-based vision in these strictly nocturnal bats (PDE6H and PDE6C). Notably, REP15 loss likely helped vampire bats adapt to high dietary iron levels by enhancing iron excretion, and the loss of CYP39A1 could have contributed to their exceptional cognitive abilities. These findings enhance our understanding of vampire bat biology and the genomic underpinnings of adaptations to blood feeding.
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Affiliation(s)
- Moritz Blumer
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
| | - Tom Brown
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | | | - Ana Luiza Destro
- Department of Animal Biology, Federal University of Viçosa, Viçosa, Brazil
| | - Juraci A. Oliveira
- Department of General Biology, Federal University of Viçosa, Viçosa, Brazil
| | - Ariadna E. Morales
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Tilman Schell
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Carola Greve
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
| | - David Jebb
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Nikolai Hecker
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Alexis-Walid Ahmed
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Bogdan M. Kirilenko
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
| | - Maddy Foote
- Native Bat Conservation Program, Toronto Zoo, 361A Old Finch Avenue, Toronto, Ontario M1B 5K7, Canada
| | - Axel Janke
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Biodiversity and Climate Research Centre, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
| | - Burton K. Lim
- Department of Natural History, Royal Ontario Museum, 100 Queen’s Park, Toronto, Ontario M5S 2C6, Canada
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
- Goethe University, Faculty of Biosciences, Max-von-Laue-Str. 9, 60438 Frankfurt, Germany
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt, Germany
- Senckenberg Research Institute, Senckenberganlage 25, 60325 Frankfurt, Germany
- Corresponding author.
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15
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Saxena A, Sharma V, Muthuirulan P, Neufeld SJ, Tran MP, Gutierrez HL, Chen KD, Erberich JM, Birmingham A, Capellini TD, Cobb J, Hiller M, Cooper KL. Interspecies transcriptomics identify genes that underlie disproportionate foot growth in jerboas. Curr Biol 2022; 32:289-303.e6. [PMID: 34793695 PMCID: PMC8792248 DOI: 10.1016/j.cub.2021.10.063] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 07/16/2021] [Accepted: 10/28/2021] [Indexed: 01/26/2023]
Abstract
Despite the great diversity of vertebrate limb proportion and our deep understanding of the genetic mechanisms that drive skeletal elongation, little is known about how individual bones reach different lengths in any species. Here, we directly compare the transcriptomes of homologous growth cartilages of the mouse (Mus musculus) and bipedal jerboa (Jaculus jaculus), the latter of which has "mouse-like" arms but extremely long metatarsals of the feet. Intersecting gene-expression differences in metatarsals and forearms of the two species revealed that about 10% of orthologous genes are associated with the disproportionately rapid elongation of neonatal jerboa feet. These include genes and enriched pathways not previously associated with endochondral elongation as well as those that might diversify skeletal proportion in addition to their known requirements for bone growth throughout the skeleton. We also identified transcription regulators that might act as "nodes" for sweeping differences in genome expression between species. Among these, Shox2, which is necessary for proximal limb elongation, has gained expression in jerboa metatarsals where it has not been detected in other vertebrates. We show that Shox2 is sufficient to increase mouse distal limb length, and a nearby putative cis-regulatory region is preferentially accessible in jerboa metatarsals. In addition to mechanisms that might directly promote growth, we found evidence that jerboa foot elongation may occur in part by de-repressing latent growth potential. The genes and pathways that we identified here provide a framework to understand the modular genetic control of skeletal growth and the remarkable malleability of vertebrate limb proportion.
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Affiliation(s)
- Aditya Saxena
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Virag Sharma
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, Dresden 01307, Germany; Max Planck Institute for the Physics of Complex Systems, Nothnitzerstraße 38, Dresden 01187, Germany
| | - Pushpanathan Muthuirulan
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02138, USA
| | - Stanley J Neufeld
- Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada
| | - Mai P Tran
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Haydee L Gutierrez
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Kevin D Chen
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Joel M Erberich
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Amanda Birmingham
- Center for Computational Biology and Bioinformatics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Terence D Capellini
- Department of Human Evolutionary Biology, Harvard University, 11 Divinity Avenue, Cambridge, MA 02138, USA
| | - John Cobb
- Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstraße 108, Dresden 01307, Germany; Max Planck Institute for the Physics of Complex Systems, Nothnitzerstraße 38, Dresden 01187, Germany
| | - Kimberly L Cooper
- Division of Biological Sciences, Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
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16
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Finding and Characterizing Repeats in Plant Genomes. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2443:327-385. [PMID: 35037215 DOI: 10.1007/978-1-0716-2067-0_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Plant genomes contain a particularly high proportion of repeated structures of various types. This chapter proposes a guided tour of the available software that can help biologists to scan automatically for these repeats in sequence data or check hypothetical models intended to characterize their structures. Since transposable elements (TEs) are a major source of repeats in plants, many methods have been used or developed for this broad class of sequences. They are representative of the range of tools available for other classes of repeats and we have provided two sections on this topic (for the analysis of genomes or directly of sequenced reads), as well as a selection of the main existing software. It may be hard to keep up with the profusion of proposals in this dynamic field and the rest of the chapter is devoted to the foundations of an efficient search for repeats and more complex patterns. We first introduce the key concepts of the art of indexing and mapping or querying sequences. We end the chapter with the more prospective issue of building models of repeat families. We present the Machine Learning approach first, seeking to build predictors automatically for some families of ET, from a set of sequences known to belong to this family. A second approach, the linguistic (or syntactic) approach, allows biologists to describe themselves and check the validity of models of their favorite repeat family.
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17
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Roscito JG, Sameith K, Kirilenko BM, Hecker N, Winkler S, Dahl A, Rodrigues MT, Hiller M. Convergent and lineage-specific genomic differences in limb regulatory elements in limbless reptile lineages. Cell Rep 2022; 38:110280. [DOI: 10.1016/j.celrep.2021.110280] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 11/24/2021] [Accepted: 12/27/2021] [Indexed: 01/02/2023] Open
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18
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Leypold NA, Speicher MR. Evolutionary conservation in noncoding genomic regions. Trends Genet 2021; 37:903-918. [PMID: 34238591 DOI: 10.1016/j.tig.2021.06.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 05/25/2021] [Accepted: 06/07/2021] [Indexed: 12/28/2022]
Abstract
Humans may share more genomic commonalities with other species than previously thought. According to current estimates, ~5% of the human genome is functionally constrained, which is a much larger fraction than the ~1.5% occupied by annotated protein-coding genes. Hence, ~3.5% of the human genome comprises likely functional conserved noncoding elements (CNEs) preserved among organisms, whose common ancestors existed throughout hundreds of millions of years of evolution. As whole-genome sequencing emerges as a standard procedure in genetic analyses, interpretation of variations in CNEs, including the elucidation of mechanistic and functional roles, becomes a necessity. Here, we discuss the phenomenon of noncoding conservation via four dimensions (sequence, regulatory conservation, spatiotemporal expression, and structure) and the potential significance of CNEs in phenotype variation and disease.
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Affiliation(s)
- Nicole A Leypold
- Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, 8010 Graz, Austria.
| | - Michael R Speicher
- Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, 8010 Graz, Austria; BioTechMed-Graz, Graz, Austria.
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19
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Sharma V, Hecker N, Walther F, Stuckas H, Hiller M. Convergent Losses of TLR5 Suggest Altered Extracellular Flagellin Detection in Four Mammalian Lineages. Mol Biol Evol 2021; 37:1847-1854. [PMID: 32145026 DOI: 10.1093/molbev/msaa058] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Toll-like receptors (TLRs) play an important role for the innate immune system by detecting pathogen-associated molecular patterns. TLR5 encodes the major extracellular receptor for bacterial flagellin and frequently evolves under positive selection, consistent with coevolutionary arms races between the host and pathogens. Furthermore, TLR5 is inactivated in several vertebrates and a TLR5 stop codon polymorphism is widespread in human populations. Here, we analyzed the genomes of 120 mammals and discovered that TLR5 is convergently lost in four independent lineages, comprising guinea pigs, Yangtze river dolphin, pinnipeds, and pangolins. Validated inactivating mutations, absence of protein-coding transcript expression, and relaxed selection on the TLR5 remnants confirm these losses. PCR analysis further confirmed the loss of TLR5 in the pinniped stem lineage. Finally, we show that TLR11, encoding a second extracellular flagellin receptor, is also absent in these four lineages. Independent losses of TLR5 and TLR11 suggest that a major pathway for detecting flagellated bacteria is not essential for different mammals and predicts an impaired capacity to sense extracellular flagellin.
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Affiliation(s)
- Virag Sharma
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.,Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.,Center for Systems Biology Dresden, Dresden, Germany.,CRTD-DFG Center for Regenerative Therapies Dresden, Carl Gustav Carus Faculty of Medicine, Technische Universität Dresden, Dresden; Paul Langerhans Institute Dresden (PLID) of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Technische Universität Dresden, Dresden; German Center for Diabetes Research (DZD), Munich, Neuherberg, Germany
| | - Nikolai Hecker
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.,Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.,Center for Systems Biology Dresden, Dresden, Germany
| | - Felix Walther
- Senckenberg Natural History Collections Dresden, Senckenberg - Leibniz Institution for Biodiversity and Earth System Research, Dresden, Germany
| | - Heiko Stuckas
- Senckenberg Natural History Collections Dresden, Senckenberg - Leibniz Institution for Biodiversity and Earth System Research, Dresden, Germany
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.,Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.,Center for Systems Biology Dresden, Dresden, Germany
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20
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M Real F, Haas SA, Franchini P, Xiong P, Simakov O, Kuhl H, Schöpflin R, Heller D, Moeinzadeh MH, Heinrich V, Krannich T, Bressin A, Hartmann MF, Wudy SA, Dechmann DKN, Hurtado A, Barrionuevo FJ, Schindler M, Harabula I, Osterwalder M, Hiller M, Wittler L, Visel A, Timmermann B, Meyer A, Vingron M, Jiménez R, Mundlos S, Lupiáñez DG. The mole genome reveals regulatory rearrangements associated with adaptive intersexuality. Science 2020; 370:208-214. [PMID: 33033216 PMCID: PMC8243244 DOI: 10.1126/science.aaz2582] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 04/19/2020] [Accepted: 08/17/2020] [Indexed: 01/01/2023]
Abstract
Linking genomic variation to phenotypical traits remains a major challenge in evolutionary genetics. In this study, we use phylogenomic strategies to investigate a distinctive trait among mammals: the development of masculinizing ovotestes in female moles. By combining a chromosome-scale genome assembly of the Iberian mole, Talpa occidentalis, with transcriptomic, epigenetic, and chromatin interaction datasets, we identify rearrangements altering the regulatory landscape of genes with distinct gonadal expression patterns. These include a tandem triplication involving CYP17A1, a gene controlling androgen synthesis, and an intrachromosomal inversion involving the pro-testicular growth factor gene FGF9, which is heterochronically expressed in mole ovotestes. Transgenic mice with a knock-in mole CYP17A1 enhancer or overexpressing FGF9 showed phenotypes recapitulating mole sexual features. Our results highlight how integrative genomic approaches can reveal the phenotypic impact of noncoding sequence changes.
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Affiliation(s)
- Francisca M Real
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical and Human Genetics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan A Haas
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Paolo Franchini
- Chair in Zoology and Evolutionary Biology, Department of Biology, University of Konstanz, 78457 Konstanz, Germany
| | - Peiwen Xiong
- Chair in Zoology and Evolutionary Biology, Department of Biology, University of Konstanz, 78457 Konstanz, Germany
| | - Oleg Simakov
- Department of Molecular Evolution and Development, University of Vienna, 1090 Vienna, Austria
| | - Heiner Kuhl
- Department of Ecophysiology and Aquaculture, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Robert Schöpflin
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical and Human Genetics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - David Heller
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - M-Hossein Moeinzadeh
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Verena Heinrich
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Thomas Krannich
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Annkatrin Bressin
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Michaela F Hartmann
- Steroid Research & Mass Spectrometry Unit, Laboratory for Translational Hormone Analytics in Paediatric Endocrinology, Division of Paediatric Endocrinology & Diabetology, Center of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany
| | - Stefan A Wudy
- Steroid Research & Mass Spectrometry Unit, Laboratory for Translational Hormone Analytics in Paediatric Endocrinology, Division of Paediatric Endocrinology & Diabetology, Center of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany
| | - Dina K N Dechmann
- Department of Migration and Immuno-Ecology, Max Planck Institute for Animal Behavior, Radolfzell, Germany
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Alicia Hurtado
- Departamento de Genética, Universidad de Granada, Granada, Spain
- Instituto de Biotecnología, Centro de Investigación Biomédica, Universidad de Granada, Armilla, Granada, Spain
| | - Francisco J Barrionuevo
- Departamento de Genética, Universidad de Granada, Granada, Spain
- Instituto de Biotecnología, Centro de Investigación Biomédica, Universidad de Granada, Armilla, Granada, Spain
| | - Magdalena Schindler
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute for Medical and Human Genetics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Izabela Harabula
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Marco Osterwalder
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Department for BioMedical Research (DBMR), University of Bern, 3008 Bern, Switzerland
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, 01187 Dresden, Germany
- Center for Systems Biology Dresden, 01307 Dresden, Germany
| | - Lars Wittler
- Department of Developmental Genetics, Transgenic Unit, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Axel Visel
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- U.S. Department of Energy Joint Genome Institute, Berkeley, CA 94720, USA
- School of Natural Sciences, University of California, Merced, CA 95343, USA
| | - Bernd Timmermann
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Axel Meyer
- Chair in Zoology and Evolutionary Biology, Department of Biology, University of Konstanz, 78457 Konstanz, Germany
| | - Martin Vingron
- Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Rafael Jiménez
- Departamento de Genética, Universidad de Granada, Granada, Spain
- Instituto de Biotecnología, Centro de Investigación Biomédica, Universidad de Granada, Armilla, Granada, Spain
| | - Stefan Mundlos
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany.
- Institute for Medical and Human Genetics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Darío G Lupiáñez
- RG Development & Disease, Max Planck Institute for Molecular Genetics, Berlin, Germany.
- Institute for Medical and Human Genetics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany
- Epigenetics and Sex Development Group, Berlin Institute for Medical Systems Biology, Max-Delbrück Center for Molecular Medicine, Berlin, Germany
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21
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Pippel M, Jebb D, Patzold F, Winkler S, Vogel H, Myers G, Hiller M, Hundsdoerfer AK. A highly contiguous genome assembly of the bat hawkmoth Hyles vespertilio (Lepidoptera: Sphingidae). Gigascience 2020; 9:giaa001. [PMID: 31972020 PMCID: PMC6977585 DOI: 10.1093/gigascience/giaa001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 12/20/2019] [Accepted: 01/08/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Adapted to different ecological niches, moth species belonging to the Hyles genus exhibit a spectacular diversity of larval color patterns. These species diverged ∼7.5 million years ago, making this rather young genus an interesting system to study a wide range of questions including the process of speciation, ecological adaptation, and adaptive radiation. RESULTS Here we present a high-quality genome assembly of the bat hawkmoth Hyles vespertilio, the first reference genome of a member of the Hyles genus. We generated 51× Pacific Biosciences long reads with an average read length of 8.9 kb. Pacific Biosciences reads longer than 4 kb were assembled into contigs, resulting in a 651.4-Mb assembly consisting of 530 contigs with an N50 value of 7.5 Mb. The circular mitochondrial contig has a length of 15,303 bp. The H. vespertilio genome is very repeat-rich and exhibits a higher repeat content (50.3%) than other Bombycoidea species such as Bombyx mori (45.7%) and Manduca sexta (27.5%). We developed a comprehensive gene annotation workflow to obtain consensus gene models from different evidence including gene projections, protein homology, transcriptome data, and ab initio predictions. The resulting gene annotation is highly complete with 94.5% of BUSCO genes being completely present, which is higher than the BUSCO completeness of the B. mori (92.2%) and M. sexta (90%) annotations. CONCLUSIONS Our gene annotation strategy has general applicability to other genomes, and the H. vespertilio genome provides a valuable molecular resource to study a range of questions in this genus, including phylogeny, incomplete lineage sorting, speciation, and hybridization. A genome browser displaying the genome, alignments, and annotations is available at https://genome-public.pks.mpg.de/cgi-bin/hgTracks?db=HLhylVes1.
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Affiliation(s)
- Martin Pippel
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - David Jebb
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany
| | - Franziska Patzold
- Senckenberg Natural History Collections Dresden, Königsbrücker Landstr. 159, 01109 Dresden, Germany
| | - Sylke Winkler
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - Heiko Vogel
- Department of Entomology, Max Planck Institute for Chemical Ecology, Hans-Knoell-Str. 8, 07745 Jena, Germany
| | - Gene Myers
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Center for Systems Biology Dresden, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Nöthnitzer Str. 38, 01187 Dresden, Germany
| | - Anna K Hundsdoerfer
- Senckenberg Natural History Collections Dresden, Königsbrücker Landstr. 159, 01109 Dresden, Germany
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22
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Osipova E, Hecker N, Hiller M. RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements. Gigascience 2019; 8:giz132. [PMID: 31742600 PMCID: PMC6862929 DOI: 10.1093/gigascience/giz132] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/10/2019] [Accepted: 10/15/2019] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Transposons and other repetitive sequences make up a large part of complex genomes. Repetitive sequences can be co-opted into a variety of functions and thus provide a source for evolutionary novelty. However, comprehensively detecting ancestral repeats that align between species is difficult because considering all repeat-overlapping seeds in alignment methods that rely on the seed-and-extend heuristic results in prohibitively high runtimes. RESULTS Here, we show that ignoring repeat-overlapping alignment seeds when aligning entire genomes misses numerous alignments between repetitive elements. We present a tool, RepeatFiller, that improves genome alignments by incorporating previously undetected local alignments between repetitive sequences. By applying RepeatFiller to genome alignments between human and 20 other representative mammals, we uncover between 22 and 84 Mb of previously undetected alignments that mostly overlap transposable elements. We further show that the increased alignment coverage improves the annotation of conserved non-exonic elements, both by discovering numerous novel transposon-derived elements that evolve under constraint and by removing thousands of elements that are not under constraint in placental mammals. CONCLUSIONS RepeatFiller contributes to comprehensively aligning repetitive genomic regions, which facilitates studying transposon co-option and genome evolution. Source code: https://github.com/hillerlab/GenomeAlignmentTools.
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Affiliation(s)
- Ekaterina Osipova
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Noethnitzer Str. 38, 01187 Dresden, Germany
- Center for Systems Biology, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - Nikolai Hecker
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Noethnitzer Str. 38, 01187 Dresden, Germany
- Center for Systems Biology, Pfotenhauerstr. 108, 01307 Dresden, Germany
| | - Michael Hiller
- Max Planck Institute of Molecular Cell Biology and Genetics, Pfotenhauerstr. 108, 01307 Dresden, Germany
- Max Planck Institute for the Physics of Complex Systems, Noethnitzer Str. 38, 01187 Dresden, Germany
- Center for Systems Biology, Pfotenhauerstr. 108, 01307 Dresden, Germany
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