1
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Dodge TO, Kim BY, Baczenas JJ, Banerjee SM, Gunn TR, Donny AE, Given LA, Rice AR, Haase Cox SK, Weinstein ML, Cross R, Moran BM, Haber K, Haghani NB, Machin Kairuz JA, Gellert HR, Du K, Aguillon SM, Tudor MS, Gutiérrez-Rodríguez C, Rios-Cardenas O, Morris MR, Schartl M, Powell DL, Schumer M. Structural genomic variation and behavioral interactions underpin a balanced sexual mimicry polymorphism. Curr Biol 2024:S0960-9822(24)01168-0. [PMID: 39326413 DOI: 10.1016/j.cub.2024.08.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/15/2024] [Accepted: 08/29/2024] [Indexed: 09/28/2024]
Abstract
How phenotypic diversity originates and persists within populations are classic puzzles in evolutionary biology. While balanced polymorphisms segregate within many species, it remains rare for both the genetic basis and the selective forces to be known, leading to an incomplete understanding of many classes of traits under balancing selection. Here, we uncover the genetic architecture of a balanced sexual mimicry polymorphism and identify behavioral mechanisms that may be involved in its maintenance in the swordtail fish Xiphophorus birchmanni. We find that ∼40% of X. birchmanni males develop a "false gravid spot," a melanic pigmentation pattern that mimics the "pregnancy spot" associated with sexual maturity in female live-bearing fish. Using genome-wide association mapping, we detect a single intergenic region associated with variation in the false gravid spot phenotype, which is upstream of kitlga, a melanophore patterning gene. By performing long-read sequencing within and across populations, we identify complex structural rearrangements between alternate alleles at this locus. The false gravid spot haplotype drives increased allele-specific expression of kitlga, which provides a mechanistic explanation for the increased melanophore abundance that causes the spot. By studying social interactions in the laboratory and in nature, we find that males with the false gravid spot experience less aggression; however, they also receive increased attention from other males and are disdained by females. These behavioral interactions may contribute to the maintenance of this phenotypic polymorphism in natural populations. We speculate that structural variants affecting gene regulation may be an underappreciated driver of balanced polymorphisms across diverse species.
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Affiliation(s)
- Tristram O Dodge
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México.
| | - Bernard Y Kim
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA
| | - John J Baczenas
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA
| | - Shreya M Banerjee
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México; Center for Population Biology and Department of Evolution and Ecology, University of California, Davis, 475 Storer Mall, Davis, CA 95616, USA
| | - Theresa R Gunn
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México
| | - Alex E Donny
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México
| | - Lyle A Given
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA
| | - Andreas R Rice
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA
| | - Sophia K Haase Cox
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA
| | - M Luke Weinstein
- Department of Biological Sciences, Ohio University, 7 Depot St., Athens, OH 45701, USA
| | - Ryan Cross
- Department of Biological Sciences, Ohio University, 7 Depot St., Athens, OH 45701, USA
| | - Benjamin M Moran
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México
| | - Kate Haber
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Berkeley High School, 1980 Allston Way, Berkeley, CA 94704, USA
| | - Nadia B Haghani
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México
| | | | - Hannah R Gellert
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA
| | - Kang Du
- Xiphophorus Genetic Stock Center, Texas State University, San Marcos, 601 University Drive, San Marcos, TX 78666, USA
| | - Stepfanie M Aguillon
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México; Department of Ecology and Evolutionary Biology, University of California, Los Angeles, 612 Charles E. Young Drive South, Los Angeles, CA 90095, USA
| | - M Scarlett Tudor
- Cooperative Extension and Aquaculture Research Institute, University of Maine, 33 Salmon Farm Road, Franklin, ME 04634, USA
| | - Carla Gutiérrez-Rodríguez
- Red de Biología Evolutiva, Instituto de Ecología, A.C., Carretera antigua a Coatepec 351, Col. El Haya, Xalapa, Veracruz 91073, México
| | - Oscar Rios-Cardenas
- Red de Biología Evolutiva, Instituto de Ecología, A.C., Carretera antigua a Coatepec 351, Col. El Haya, Xalapa, Veracruz 91073, México
| | - Molly R Morris
- Department of Biological Sciences, Ohio University, 7 Depot St., Athens, OH 45701, USA
| | - Manfred Schartl
- Xiphophorus Genetic Stock Center, Texas State University, San Marcos, 601 University Drive, San Marcos, TX 78666, USA; Developmental Biochemistry, Biocenter, University of Würzburg, Am Hubland, 97074 Wuerzburg, Germany
| | - Daniel L Powell
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México; Department of Biology, Louisiana State University, 202 Life Science Building, Baton Rouge, LA 70803, USA
| | - Molly Schumer
- Department of Biology, Stanford University, 327 Campus Drive, Stanford, CA 94305, USA; Centro de Investigaciones Científicas de las Huastecas "Aguazarca" A.C., 16 de Septiembre, 392 Barrio Aguazarca, Calnali, Hidalgo 43240, México; Howard Hughes Medical Institute, 327 Campus Drive, Stanford, CA 94305, USA.
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2
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Du K, Ricci JMB, Lu Y, Garcia-Olazabal M, Walter RB, Warren WC, Dodge TO, Schumer M, Park H, Meyer A, Schartl M. Phylogenomic analyses of all species of swordtail fishes (genus Xiphophorus) show that hybridization preceded speciation. Nat Commun 2024; 15:6609. [PMID: 39098897 PMCID: PMC11298535 DOI: 10.1038/s41467-024-50852-6] [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: 12/31/2023] [Accepted: 07/16/2024] [Indexed: 08/06/2024] Open
Abstract
Hybridization has been recognized to play important roles in evolution, however studies of the genetic consequence are still lagging behind in vertebrates due to the lack of appropriate experimental systems. Fish of the genus Xiphophorus are proposed to have evolved with multiple ancient and ongoing hybridization events. They have served as an informative research model in evolutionary biology and in biomedical research on human disease for more than a century. Here, we provide the complete genomic resource including annotations for all described 26 Xiphophorus species and three undescribed taxa and resolve all uncertain phylogenetic relationships. We investigate the molecular evolution of genes related to cancers such as melanoma and for the genetic control of puberty timing, focusing on genes that are predicted to be involved in pre-and postzygotic isolation and thus affect hybridization. We discovered dramatic size-variation of some gene families. These persisted despite reticulate evolution, rapid speciation and short divergence time. Finally, we clarify the hybridization history in the entire genus settling disputed hybridization history of two Southern swordtails. Our comparative genomic analyses revealed hybridization ancestries that are manifested in the mosaic fused genomes and show that hybridization often preceded speciation.
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Affiliation(s)
- Kang Du
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas, TX, USA
| | | | - Yuan Lu
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas, TX, USA
| | - Mateo Garcia-Olazabal
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas, TX, USA
| | - Ronald B Walter
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas, TX, USA
| | - Wesley C Warren
- Department of Animal Sciences, Department of Surgery, Institute for Data Science and Informatics, University of Missouri, Bond Life Sciences Center, Columbia, MI, USA
| | - Tristram O Dodge
- Department of Biology & Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Molly Schumer
- Department of Biology & Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Hyun Park
- Division of Biotechnology, College of Life Science and Biotechnology, Korea University, Seoul, Republic of Korea
| | - Axel Meyer
- Department of Biology, University of Konstanz, Konstanz, Germany.
| | - Manfred Schartl
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, Texas, TX, USA.
- Developmental Biochemistry, Biocenter, University of Wuerzburg, Am Hubland, Wuerzburg, Germany.
- Research Department for Limnology, University of Innsbruck, Mondsee, Austria.
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3
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Langdon QK, Groh JS, Aguillon SM, Powell DL, Gunn T, Payne C, Baczenas JJ, Donny A, Dodge TO, Du K, Schartl M, Ríos-Cárdenas O, Gutiérrez-Rodríguez C, Morris M, Schumer M. Swordtail fish hybrids reveal that genome evolution is surprisingly predictable after initial hybridization. PLoS Biol 2024; 22:e3002742. [PMID: 39186811 PMCID: PMC11379403 DOI: 10.1371/journal.pbio.3002742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 09/06/2024] [Accepted: 07/09/2024] [Indexed: 08/28/2024] Open
Abstract
Over the past 2 decades, biologists have come to appreciate that hybridization, or genetic exchange between distinct lineages, is remarkably common-not just in particular lineages but in taxonomic groups across the tree of life. As a result, the genomes of many modern species harbor regions inherited from related species. This observation has raised fundamental questions about the degree to which the genomic outcomes of hybridization are repeatable and the degree to which natural selection drives such repeatability. However, a lack of appropriate systems to answer these questions has limited empirical progress in this area. Here, we leverage independently formed hybrid populations between the swordtail fish Xiphophorus birchmanni and X. cortezi to address this fundamental question. We find that local ancestry in one hybrid population is remarkably predictive of local ancestry in another, demographically independent hybrid population. Applying newly developed methods, we can attribute much of this repeatability to strong selection in the earliest generations after initial hybridization. We complement these analyses with time-series data that demonstrates that ancestry at regions under selection has remained stable over the past approximately 40 generations of evolution. Finally, we compare our results to the well-studied X. birchmanni × X. malinche hybrid populations and conclude that deeper evolutionary divergence has resulted in stronger selection and higher repeatability in patterns of local ancestry in hybrids between X. birchmanni and X. cortezi.
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Affiliation(s)
- Quinn K Langdon
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
| | - Jeffrey S Groh
- Center for Population Biology and Department of Evolution and Ecology, University of California, Davis, Davis, California, United States of America
| | - Stepfanie M Aguillon
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States of America
| | - Daniel L Powell
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
- Department of Biological Sciences, Louisiana State University, Baton Rouge, Louisiana, United States of America
| | - Theresa Gunn
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
| | - Cheyenne Payne
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
| | - John J Baczenas
- Department of Biology, Stanford University, Stanford, California, United States of America
| | - Alex Donny
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
| | - Tristram O Dodge
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
| | - Kang Du
- Xiphophorus Genetic Stock Center, Texas State University San Marcos, San Marcos, United States of America
| | - Manfred Schartl
- Xiphophorus Genetic Stock Center, Texas State University San Marcos, San Marcos, United States of America
- Developmental Biochemistry, Biocenter, University of Würzburg, Würzburg, Germany
| | - Oscar Ríos-Cárdenas
- Red de Biología Evolutiva, Instituto de Ecología, A.C., Xalapa, Veracruz, Mexico
| | | | - Molly Morris
- Department of Biological Sciences, Ohio University, Athens, Ohio, United States of America
| | - Molly Schumer
- Department of Biology, Stanford University, Stanford, California, United States of America
- Centro de Investigaciones Científicas de las Huastecas "Aguazarca", A.C., Calnali, Hidalgo, Mexico
- Freeman Hrabowski Fellow, Howard Hughes Medical Institute, Stanford, California, United States of America
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4
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Gerdol M, Greco S, Marino R, Locascio A, Plateroti M, Sirakov M. Conserved Signaling Pathways in the Ciona robusta Gut. Int J Mol Sci 2024; 25:7846. [PMID: 39063090 PMCID: PMC11277035 DOI: 10.3390/ijms25147846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 07/04/2024] [Accepted: 07/14/2024] [Indexed: 07/28/2024] Open
Abstract
The urochordate Ciona robusta exhibits numerous functional and morphogenetic traits that are shared with vertebrate models. While prior investigations have identified several analogies between the gastrointestinal tract (i.e., gut) of Ciona and mice, the molecular mechanisms responsible for these similarities remain poorly understood. This study seeks to address this knowledge gap by investigating the transcriptional landscape of the adult stage gut. Through comparative genomics analyses, we identified several evolutionarily conserved components of signaling pathways of pivotal importance for gut development (such as WNT, Notch, and TGFβ-BMP) and further evaluated their expression in three distinct sections of the gastrointestinal tract by RNA-seq. Despite the presence of lineage-specific gene gains, losses, and often unclear orthology relationships, the investigated pathways were characterized by well-conserved molecular machinery, with most components being expressed at significant levels throughout the entire intestinal tract of C. robusta. We also showed significant differences in the transcriptional landscape of the stomach and intestinal tract, which were much less pronounced between the proximal and distal portions of the intestine. This study confirms that C. robusta is a reliable model system for comparative studies, supporting the use of ascidians as a model to study gut physiology.
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Affiliation(s)
- Marco Gerdol
- Department of Life Sciences, Università degli Studi di Trieste, Via Licio Giorgieri 5, 34127 Trieste, Italy; (M.G.); (S.G.)
- Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy; (R.M.); (A.L.)
| | - Samuele Greco
- Department of Life Sciences, Università degli Studi di Trieste, Via Licio Giorgieri 5, 34127 Trieste, Italy; (M.G.); (S.G.)
| | - Rita Marino
- Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy; (R.M.); (A.L.)
| | - Annamaria Locascio
- Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy; (R.M.); (A.L.)
| | - Michelina Plateroti
- Institute of Genetics and Molecular and Cellular Biology, CNRS UMR7104–INSERM U1258–Université de Strasbourg, 1 Rue Laurent Fries, 67404 Illkirch, France
| | - Maria Sirakov
- Department of Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy; (R.M.); (A.L.)
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5
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Ouedraogo WYDD, Ouangraoua A. SimSpliceEvol2: alternative splicing-aware simulation of biological sequence evolution and transcript phylogenies. BMC Bioinformatics 2024; 25:235. [PMID: 38992593 PMCID: PMC11238459 DOI: 10.1186/s12859-024-05853-z] [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: 03/26/2024] [Accepted: 07/02/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND SimSpliceEvol is a tool for simulating the evolution of eukaryotic gene sequences that integrates exon-intron structure evolution as well as the evolution of the sets of transcripts produced from genes. It takes a guide gene tree as input and generates a gene sequence with its transcripts for each node of the tree, from the root to the leaves. However, the sets of transcripts simulated at different nodes of the guide gene tree lack evolutionary connections. Consequently, SimSpliceEvol is not suitable for evaluating methods for transcript phylogeny inference or gene phylogeny inference that rely on transcript conservation. RESULTS Here, we introduce SimSpliceEvol2, which, compared to the first version, incorporates an explicit model of transcript evolution for simulating alternative transcripts along the branches of a guide gene tree, as well as the transcript phylogenies inferred. We offer a comprehensive software with a graphical user interface and an updated version of the web server, ensuring easy and user-friendly access to the tool. CONCLUSION SimSpliceEvol2 generates synthetic datasets that are useful for evaluating methods and tools for spliced RNA sequence analysis, such as spliced alignment methods, methods for identifying conserved transcripts, and transcript phylogeny reconstruction methods. The web server is accessible at https://simspliceevol.cobius.usherbrooke.ca , where you can also download the standalone software. Comprehensive documentation for the software is available at the same address. For developers interested in the source code, which requires the installation of all prerequisites to run, it is provided at https://github.com/UdeS-CoBIUS/SimSpliceEvol .
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Affiliation(s)
- Wend Yam D D Ouedraogo
- Department of Computer Science, Université de Sherbrooke, 2500 Bd de l'université, Sherbrooke, QC, J1K2R1, Canada.
| | - Aida Ouangraoua
- Department of Computer Science, Université de Sherbrooke, 2500 Bd de l'université, Sherbrooke, QC, J1K2R1, Canada
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6
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Makova KD, Pickett BD, Harris RS, Hartley GA, Cechova M, Pal K, Nurk S, Yoo D, Li Q, Hebbar P, McGrath BC, Antonacci F, Aubel M, Biddanda A, Borchers M, Bornberg-Bauer E, Bouffard GG, Brooks SY, Carbone L, Carrel L, Carroll A, Chang PC, Chin CS, Cook DE, Craig SJC, de Gennaro L, Diekhans M, Dutra A, Garcia GH, Grady PGS, Green RE, Haddad D, Hallast P, Harvey WT, Hickey G, Hillis DA, Hoyt SJ, Jeong H, Kamali K, Pond SLK, LaPolice TM, Lee C, Lewis AP, Loh YHE, Masterson P, McGarvey KM, McCoy RC, Medvedev P, Miga KH, Munson KM, Pak E, Paten B, Pinto BJ, Potapova T, Rhie A, Rocha JL, Ryabov F, Ryder OA, Sacco S, Shafin K, Shepelev VA, Slon V, Solar SJ, Storer JM, Sudmant PH, Sweetalana, Sweeten A, Tassia MG, Thibaud-Nissen F, Ventura M, Wilson MA, Young AC, Zeng H, Zhang X, Szpiech ZA, Huber CD, Gerton JL, Yi SV, Schatz MC, Alexandrov IA, Koren S, O'Neill RJ, Eichler EE, Phillippy AM. The complete sequence and comparative analysis of ape sex chromosomes. Nature 2024; 630:401-411. [PMID: 38811727 PMCID: PMC11168930 DOI: 10.1038/s41586-024-07473-2] [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: 11/17/2023] [Accepted: 04/26/2024] [Indexed: 05/31/2024]
Abstract
Apes possess two sex chromosomes-the male-specific Y chromosome and the X chromosome, which is present in both males and females. The Y chromosome is crucial for male reproduction, with deletions being linked to infertility1. The X chromosome is vital for reproduction and cognition2. Variation in mating patterns and brain function among apes suggests corresponding differences in their sex chromosomes. However, owing to their repetitive nature and incomplete reference assemblies, ape sex chromosomes have been challenging to study. Here, using the methodology developed for the telomere-to-telomere (T2T) human genome, we produced gapless assemblies of the X and Y chromosomes for five great apes (bonobo (Pan paniscus), chimpanzee (Pan troglodytes), western lowland gorilla (Gorilla gorilla gorilla), Bornean orangutan (Pongo pygmaeus) and Sumatran orangutan (Pongo abelii)) and a lesser ape (the siamang gibbon (Symphalangus syndactylus)), and untangled the intricacies of their evolution. Compared with the X chromosomes, the ape Y chromosomes vary greatly in size and have low alignability and high levels of structural rearrangements-owing to the accumulation of lineage-specific ampliconic regions, palindromes, transposable elements and satellites. Many Y chromosome genes expand in multi-copy families and some evolve under purifying selection. Thus, the Y chromosome exhibits dynamic evolution, whereas the X chromosome is more stable. Mapping short-read sequencing data to these assemblies revealed diversity and selection patterns on sex chromosomes of more than 100 individual great apes. These reference assemblies are expected to inform human evolution and conservation genetics of non-human apes, all of which are endangered species.
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Affiliation(s)
| | - Brandon D Pickett
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Monika Cechova
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Karol Pal
- Penn State University, University Park, PA, USA
| | - Sergey Nurk
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - DongAhn Yoo
- University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Johns Hopkins University, Baltimore, MD, USA
| | - Prajna Hebbar
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | | | | | - Erich Bornberg-Bauer
- University of Münster, Münster, Germany
- MPI for Developmental Biology, Tübingen, Germany
| | - Gerard G Bouffard
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shelise Y Brooks
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Carbone
- Oregon Health and Science University, Portland, OR, USA
- Oregon National Primate Research Center, Hillsboro, OR, USA
| | - Laura Carrel
- Penn State University School of Medicine, Hershey, PA, USA
| | | | | | - Chen-Shan Chin
- Foundation of Biological Data Sciences, Belmont, CA, USA
| | | | | | | | - Mark Diekhans
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Amalia Dutra
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gage H Garcia
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Glenn Hickey
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - David A Hillis
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | - Hyeonsoo Jeong
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | | | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Yong-Hwee E Loh
- University of California Santa Barbara, Santa Barbara, CA, USA
| | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Kelly M McGarvey
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Karen H Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Evgenia Pak
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benedict Paten
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Arang Rhie
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joana L Rocha
- University of California Berkeley, Berkeley, CA, USA
| | - Fedor Ryabov
- Masters Program in National Research, University Higher School of Economics, Moscow, Russia
| | | | - Samuel Sacco
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | - Steven J Solar
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Sweetalana
- Penn State University, University Park, PA, USA
| | - Alex Sweeten
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Mario Ventura
- Università degli Studi di Bari Aldo Moro, Bari, Italy
| | | | - Alice C Young
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Xinru Zhang
- Penn State University, University Park, PA, USA
| | | | | | | | - Soojin V Yi
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | | | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Evan E Eichler
- University of Washington School of Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.
| | - Adam M Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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7
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Reboiro-Jato M, Pérez-Rodríguez D, Da Silva MJ, Vila-Fernández D, Vieira CP, Vieira J, López-Fernández H. SEDA 2024 update: enhancing the SEquence DAtaset builder for seamless integration into automated data analysis pipelines. BMC Bioinformatics 2024; 25:200. [PMID: 38802733 PMCID: PMC11131258 DOI: 10.1186/s12859-024-05818-2] [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: 02/16/2024] [Accepted: 05/21/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND The initial version of SEDA assists life science researchers without programming skills with the preparation of DNA and protein sequence FASTA files for multiple bioinformatics applications. However, the initial version of SEDA lacks a command-line interface for more advanced users and does not allow the creation of automated analysis pipelines. RESULTS The present paper discusses the updates of the new SEDA release, including the addition of a complete command-line interface, new functionalities like gene annotation, a framework for automated pipelines, and improved integration in Linux environments. CONCLUSION SEDA is an open-source Java application and can be installed using the different distributions available ( https://www.sing-group.org/seda/download.html ) as well as through a Docker image ( https://hub.docker.com/r/pegi3s/seda ). It is released under a GPL-3.0 license, and its source code is publicly accessible on GitHub ( https://github.com/sing-group/seda ). The software version at the time of submission is archived at Zenodo (version v1.6.0, http://doi.org/10.5281/zenodo.10201605 ).
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Affiliation(s)
- Miguel Reboiro-Jato
- SING Research Group, SERGAS-UVIGO, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain
- CINBIO, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, Universidade de Vigo, 32004, Ourense, Spain
| | - Daniel Pérez-Rodríguez
- NeuroEpigenetics Lab, Instituto de Investigación Sanitaria de Santiago (IDIS), Complejo Hospitalario Universitario de Santiago, 15706, Santiago de Compostela, Spain
- Translational Neuroscience Group, Área Sanitaria de Vigo-Hospital Álvaro Cunqueiro, SERGAS-UVIGO, CIBERSAM-ISCIII, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain
| | - Miguel José Da Silva
- SING Research Group, SERGAS-UVIGO, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain
| | - David Vila-Fernández
- SING Research Group, SERGAS-UVIGO, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain
| | - Cristina P Vieira
- Instituto de Investigação e Inovação em Saúde (I3S), Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Rua Alfredo Allen, 208, 4200-135, Porto, Portugal
| | - Jorge Vieira
- Instituto de Investigação e Inovação em Saúde (I3S), Universidade do Porto, Rua Alfredo Allen, 208, 4200-135, Porto, Portugal
- Instituto de Biologia Molecular e Celular (IBMC), Rua Alfredo Allen, 208, 4200-135, Porto, Portugal
| | - Hugo López-Fernández
- SING Research Group, SERGAS-UVIGO, Galicia Sur Health Research Institute (IIS Galicia Sur), 36213, Vigo, Spain.
- CINBIO, Department of Computer Science, ESEI-Escuela Superior de Ingeniería Informática, Universidade de Vigo, 32004, Ourense, Spain.
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8
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Wu S, Dou T, Yuan S, Yan S, Xu Z, Liu Y, Jian Z, Zhao J, Zhao R, Zi X, Gu D, Liu L, Li Q, Wu DD, Jia J, Ge C, Su Z, Wang K. Annotations of four high-quality indigenous chicken genomes identify more than one thousand missing genes in subtelomeric regions and micro-chromosomes with high G/C contents. BMC Genomics 2024; 25:430. [PMID: 38693501 PMCID: PMC11061957 DOI: 10.1186/s12864-024-10316-z] [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: 12/04/2023] [Accepted: 04/16/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND Although multiple chicken genomes have been assembled and annotated, the numbers of protein-coding genes in chicken genomes and their variation among breeds are still uncertain due to the low quality of these genome assemblies and limited resources used in their gene annotations. To fill these gaps, we recently assembled genomes of four indigenous chicken breeds with distinct traits at chromosome-level. In this study, we annotated genes in each of these assembled genomes using a combination of RNA-seq- and homology-based approaches. RESULTS We identified varying numbers (17,497-17,718) of protein-coding genes in the four indigenous chicken genomes, while recovering 51 of the 274 "missing" genes in birds in general, and 36 of the 174 "missing" genes in chickens in particular. Intriguingly, based on deeply sequenced RNA-seq data collected in multiple tissues in the four breeds, we found 571 ~ 627 protein-coding genes in each genome, which were missing in the annotations of the reference chicken genomes (GRCg6a and GRCg7b/w). After removing redundancy, we ended up with a total of 1,420 newly annotated genes (NAGs). The NAGs tend to be found in subtelomeric regions of macro-chromosomes (chr1 to chr5, plus chrZ) and middle chromosomes (chr6 to chr13, plus chrW), as well as in micro-chromosomes (chr14 to chr39) and unplaced contigs, where G/C contents are high. Moreover, the NAGs have elevated quadruplexes G frequencies, while both G/C contents and quadruplexes G frequencies in their surrounding regions are also high. The NAGs showed tissue-specific expression, and we were able to verify 39 (92.9%) of 42 randomly selected ones in various tissues of the four chicken breeds using RT-qPCR experiments. Most of the NAGs were also encoded in the reference chicken genomes, thus, these genomes might harbor more genes than previously thought. CONCLUSION The NAGs are widely distributed in wild, indigenous and commercial chickens, and they might play critical roles in chicken physiology. Counting these new genes, chicken genomes harbor more genes than originally thought.
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Affiliation(s)
- Siwen Wu
- Department of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Tengfei Dou
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Sisi Yuan
- Department of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Shixiong Yan
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Zhiqiang Xu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Yong Liu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Zonghui Jian
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Jingying Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Rouhan Zhao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Xiannian Zi
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Dahai Gu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Lixian Liu
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Qihua Li
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
| | - Junjing Jia
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Changrong Ge
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China
| | - Zhengchang Su
- Department of Bioinformatics and Genomics, the University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Kun Wang
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, Yunnan, China.
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9
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Sakamoto S, Matsushita Y, Itoigawa A, Ezawa T, Fujitani T, Takakura K, Zhou Y, Zhang G, Grutzner F, Kawamura S, Hayakawa T. Color vision evolution in egg-laying mammals: insights from visual photoreceptors and daily activities of Australian echidnas. ZOOLOGICAL LETTERS 2024; 10:2. [PMID: 38167154 PMCID: PMC10759620 DOI: 10.1186/s40851-023-00224-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 11/29/2023] [Indexed: 01/05/2024]
Abstract
Egg-laying mammals (monotremes) are considered "primitive" due to traits such as oviparity, cloaca, and incomplete homeothermy, all of which they share with reptiles. Two groups of monotremes, the terrestrial echidna (Tachyglossidae) and semiaquatic platypus (Ornithorhynchidae), have evolved highly divergent characters since their emergence in the Cenozoic era. These evolutionary differences, notably including distinct electrosensory and chemosensory systems, result from adaptations to species-specific habitat conditions. To date, very few studies have examined the visual adaptation of echidna and platypus. In the present study, we show that echidna and platypus have different light absorption spectra in their dichromatic visual sensory systems at the molecular level. We analyzed absorption spectra of monotreme color opsins, long-wavelength sensitive opsin (LWS) and short-wavelength sensitive opsin 2 (SWS2). The wavelength of maximum absorbance (λmax) in LWS was 570.2 in short-beaked echidna (Tachyglossus aculeatus) and 560.6 nm in platypus (Ornithorhynchus anatinus); in SWS2, λmax was 451.7 and 442.6 nm, respectively. Thus, the spectral range in echidna color vision is ~ 10 nm longer overall than in platypus. Natural selection analysis showed that the molecular evolution of monotreme color opsins is generally functionally conserved, suggesting that these taxa rely on species-specific color vision. In order to understand the usage of color vision in monotremes, we made 24-h behavioral observations of captive echidnas at warm temperatures and analyzed the resultant ethograms. Echidnas showed cathemeral activity and various behavioral repertoires such as feeding, traveling, digging, and self-grooming without light/dark environment selectivity. Halting (careful) behavior is more frequent in dark conditions, which suggests that echidnas may be more dependent on vision during the day and olfaction at night. Color vision functions have contributed to dynamic adaptations and dramatic ecological changes during the ~ 60 million years of divergent monotreme evolution. The ethogram of various day and night behaviors in captive echidnas also contributes information relevant to habitat conservation and animal welfare in this iconic species, which is locally endangered.
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Affiliation(s)
- Shiina Sakamoto
- Graduate School of Environmental Science, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Yuka Matsushita
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan
| | - Akihiro Itoigawa
- Department of Agricultural Chemistry, School of Agriculture, Meiji University, Kawasaki, Kanagawa, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Takumi Ezawa
- Graduate School of Environmental Science, Hokkaido University, Sapporo, Hokkaido, Japan
| | | | | | - Yang Zhou
- BGI Research, Shenzhen, China
- BGI Research, Wuhan, China
| | - Guojie Zhang
- Center of Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Frank Grutzner
- The Environment Institute, University of Adelaide, Adelaide, SA, Australia
| | - Shoji Kawamura
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
| | - Takashi Hayakawa
- Faculty of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido, Japan.
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10
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Adawaren EO, Labuschagne C, Abera A, Naidoo V. A premature stop codon in the CYP2C19 gene may explain the unexpected sensitivity of vultures to diclofenac toxicity. Toxicol Appl Pharmacol 2024; 482:116771. [PMID: 38013149 DOI: 10.1016/j.taap.2023.116771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/13/2023] [Accepted: 11/21/2023] [Indexed: 11/29/2023]
Abstract
The unintended environmental exposure of vultures to diclofenac has resulted in the deaths of millions of old-world vultures on the Asian subcontinent. While toxicity has been since associated with a long half-life of elimination and zero order metabolism, the actual constraint in biotransformation is yet to be clarified. For this study we evaluated if the evident zero order metabolism could be due to defects in the CYP2C9/2C19 enzyme system. For this, using whole genome sequencing and de-novo transcriptome alignment, the vulture CYP2C19 open reading frame was identified through Splign analysis. The result sequence analysis revealed the presence of a premature stop codon on intron 7 of the identified open reading frame. Even if the stop codon was not present, amino acid residue analysis tended to suggest that the enzyme would be lower in activity than the equivalent human enzyme, with differences present at sites 105, 286 and 289. The defect was also conserved across the eight non-related vultures tested. From these results, we conclude that the sensitivity of the old-world vultures to diclofenac is due to the non-expression of a viable CYP2C19 enzyme system. This is not too dissimilar to the effects seen in certain people with a similar defective enzyme.
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Affiliation(s)
- Emmanuel Oluwasegun Adawaren
- Department of Paraclinical Science, Faculty of Veterinary Science, University of Pretoria, Gauteng, South Africa
| | - Christiaan Labuschagne
- Iqaba Biotechnical Industries (Pty), 525 Justice Mahomed St, Muckleneuk, 0002 Pretoria, Gauteng, South Africa
| | - Aron Abera
- Iqaba Biotechnical Industries (Pty), 525 Justice Mahomed St, Muckleneuk, 0002 Pretoria, Gauteng, South Africa
| | - Vinny Naidoo
- Department of Paraclinical Science, Faculty of Veterinary Science, University of Pretoria, Gauteng, South Africa.
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11
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Hagemann MH, Rigling M, Mannweiler S, Born U, Sprich E, Milyaev A, Zhang Y. Insight into the aroma quality of 'Callista' cultivar of hop (Humulus lupulus L.): Impact of harvest timing, year, and location. Food Res Int 2024; 175:113776. [PMID: 38129004 DOI: 10.1016/j.foodres.2023.113776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 11/08/2023] [Accepted: 11/22/2023] [Indexed: 12/23/2023]
Abstract
Hops (Humulus lupulus L.) are essential ingredients in brewing, contributing to beer's flavor, aroma, and stability. This study pioneers an in-depth analysis of the 'Callista' cultivar, aiming to unravel how harvest timing, annual variations, and cultivation location synergistically influence its molecular profile, sensory perception, and biochemistry. Leveraging high-performance liquid chromatography and gas chromatography-mass spectrometry-olfactometry, we identified significant year-to-year and location-based fluctuations in bitter acids-the quintessential aroma constituents in hops. Our comprehensive aroma profiling discerned 55 volatile compounds, marking the first-ever sensory detection of 2-butanone in hops, with its presence showing remarkable interannual variability. This study showed significant differences among the three years tested, whereas hops were perceived "fruitier" and more "citrusy" in 2021, even though the bitter acid and aroma analysis showed that 2022 sticks out due to extremely high lupulone values up to 10% dry cone weight and 78% β-myrcene in the oil fraction compared to 60% and 45% in 2020 and 2021, respectively. Molecular analysis of key enzymes involved in hop aroma biosynthesis revealed no significant associations with location, but a strong diurnal pattern for all genes. The results indicated that especially the hot temperatures of 2022 may have induced significant changes of cone quality, while 2021 was more interesting from the sensory evaluations, which may justify the usage of viticultural terms such as "vintage" for hop marketing. These findings contribute to a better understanding of the factors influencing hop aroma and quality.
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Affiliation(s)
- M H Hagemann
- Department Production Systems of Horticultural Crops, University of Hohenheim, 70599 Stuttgart, Germany
| | - M Rigling
- Department of Flavor Chemistry, University of Hohenheim, 70599 Stuttgart, Germany
| | - S Mannweiler
- Department of Flavor Chemistry, University of Hohenheim, 70599 Stuttgart, Germany
| | - U Born
- Department Production Systems of Horticultural Crops, University of Hohenheim, 70599 Stuttgart, Germany
| | - E Sprich
- Department Production Systems of Horticultural Crops, University of Hohenheim, 70599 Stuttgart, Germany
| | - A Milyaev
- Department Production Systems of Horticultural Crops, University of Hohenheim, 70599 Stuttgart, Germany
| | - Y Zhang
- Department of Flavor Chemistry, University of Hohenheim, 70599 Stuttgart, Germany.
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12
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Langdon QK, Groh JS, Aguillon SM, Powell DL, Gunn T, Payne C, Baczenas JJ, Donny A, Dodge TO, Du K, Schartl M, Ríos-Cárdenas O, Gutierrez-Rodríguez C, Morris M, Schumer M. Genome evolution is surprisingly predictable after initial hybridization. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.21.572897. [PMID: 38187753 PMCID: PMC10769416 DOI: 10.1101/2023.12.21.572897] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Over the past two decades, evolutionary biologists have come to appreciate that hybridization, or genetic exchange between distinct lineages, is remarkably common - not just in particular lineages but in taxonomic groups across the tree of life. As a result, the genomes of many modern species harbor regions inherited from related species. This observation has raised fundamental questions about the degree to which the genomic outcomes of hybridization are repeatable and the degree to which natural selection drives such repeatability. However, a lack of appropriate systems to answer these questions has limited empirical progress in this area. Here, we leverage independently formed hybrid populations between the swordtail fish Xiphophorus birchmanni and X. cortezi to address this fundamental question. We find that local ancestry in one hybrid population is remarkably predictive of local ancestry in another, demographically independent hybrid population. Applying newly developed methods, we can attribute much of this repeatability to strong selection in the earliest generations after initial hybridization. We complement these analyses with time-series data that demonstrates that ancestry at regions under selection has remained stable over the past ~40 generations of evolution. Finally, we compare our results to the well-studied X. birchmanni×X. malinche hybrid populations and conclude that deeper evolutionary divergence has resulted in stronger selection and higher repeatability in patterns of local ancestry in hybrids between X. birchmanni and X. cortezi.
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Affiliation(s)
- Quinn K. Langdon
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
- Gladstone Institute of Virology, Gladstone Institutes, San Francisco, California
| | - Jeffrey S. Groh
- Center for Population Biology and Department of Evolution and Ecology, University of California, Davis
| | - Stepfanie M. Aguillon
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles
| | - Daniel L. Powell
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
| | - Theresa Gunn
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
| | - Cheyenne Payne
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
| | | | - Alex Donny
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
| | - Tristram O. Dodge
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
| | - Kang Du
- Xiphophorus Genetic Stock Center, Texas State University San Marcos
| | - Manfred Schartl
- Xiphophorus Genetic Stock Center, Texas State University San Marcos
- Developmental Biochemistry, Biocenter, University of Würzburg
| | | | | | | | - Molly Schumer
- Department of Biology, Stanford University
- Centro de Investigaciones Científicas de las Huastecas “Aguazarca”, A.C
- Freeman Hrabowski Fellow, Howard Hughes Medical Institute
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13
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Lee YH, Abueg L, Kim JK, Kim YW, Fedrigo O, Balacco J, Formenti G, Howe K, Tracey A, Wood J, Thibaud-Nissen F, Nam BH, No ES, Kim HR, Lee C, Jarvis ED, Kim H. Chromosome-level genome assembly of chub mackerel (Scomber japonicus) from the Indo-Pacific Ocean. Sci Data 2023; 10:880. [PMID: 38066002 PMCID: PMC10709322 DOI: 10.1038/s41597-023-02782-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
Chub mackerels (Scomber japonicus) are a migratory marine fish widely distributed in the Indo-Pacific Ocean. They are globally consumed for their high Omega-3 content, but their population is declining due to global warming. Here, we generated the first chromosome-level genome assembly of chub mackerel (fScoJap1) using the Vertebrate Genomes Project assembly pipeline with PacBio HiFi genomic sequencing and Arima Hi-C chromosome contact data. The final assembly is 828.68 Mb with 24 chromosomes, nearly all containing telomeric repeats at their ends. We annotated 31,656 genes and discovered that approximately 2.19% of the genome contained DNA transposon elements repressed within duplicated genes. Analyzing 5-methylcytosine (5mC) modifications using HiFi reads, we observed open/close chromatin patterns at gene promoters, including the FADS2 gene involved in Omega-3 production. This chromosome-level reference genome provides unprecedented opportunities for advancing our knowledge of chub mackerels in biology, industry, and conservation.
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Affiliation(s)
- Young Ho Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Linelle Abueg
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Jin-Koo Kim
- Department of Marine Biology, Pukyong National University, Busan, 48513, Republic of Korea
| | - Young Wook Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Jennifer Balacco
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Alan Tracey
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Jonathan Wood
- Tree of Life, Wellcome Sanger Institute, Cambridge, CB10 1SA, UK
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Bo Hye Nam
- Biotechnology Research Division, National Institute of Fisheries Science, Haean-ro 216, Gijang-eup, Gijang-gun, Busan, 46083, Korea
| | - Eun Soo No
- Biotechnology Research Division, National Institute of Fisheries Science, Haean-ro 216, Gijang-eup, Gijang-gun, Busan, 46083, Korea
| | - Hye Ran Kim
- Plant Systems Engineering Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Chul Lee
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, NY, 10065, USA.
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, New York, USA.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York City, NY, 10065, USA.
- Howard Hughes Medical Institute, Chevy Chase, Maryland, USA.
| | - Heebal Kim
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.
- eGnome inc., C-1008, H Businesspark, 26, Beobwon-ro 9-gil, Songpa-gu, Seoul, Republic of Korea.
- Department of Agricultural Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, Republic of Korea.
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14
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Makova KD, Pickett BD, Harris RS, Hartley GA, Cechova M, Pal K, Nurk S, Yoo D, Li Q, Hebbar P, McGrath BC, Antonacci F, Aubel M, Biddanda A, Borchers M, Bomberg E, Bouffard GG, Brooks SY, Carbone L, Carrel L, Carroll A, Chang PC, Chin CS, Cook DE, Craig SJ, de Gennaro L, Diekhans M, Dutra A, Garcia GH, Grady PG, Green RE, Haddad D, Hallast P, Harvey WT, Hickey G, Hillis DA, Hoyt SJ, Jeong H, Kamali K, Kosakovsky Pond SL, LaPolice TM, Lee C, Lewis AP, Loh YHE, Masterson P, McCoy RC, Medvedev P, Miga KH, Munson KM, Pak E, Paten B, Pinto BJ, Potapova T, Rhie A, Rocha JL, Ryabov F, Ryder OA, Sacco S, Shafin K, Shepelev VA, Slon V, Solar SJ, Storer JM, Sudmant PH, Sweetalana, Sweeten A, Tassia MG, Thibaud-Nissen F, Ventura M, Wilson MA, Young AC, Zeng H, Zhang X, Szpiech ZA, Huber CD, Gerton JL, Yi SV, Schatz MC, Alexandrov IA, Koren S, O’Neill RJ, Eichler E, Phillippy AM. The Complete Sequence and Comparative Analysis of Ape Sex Chromosomes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.30.569198. [PMID: 38077089 PMCID: PMC10705393 DOI: 10.1101/2023.11.30.569198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
Apes possess two sex chromosomes-the male-specific Y and the X shared by males and females. The Y chromosome is crucial for male reproduction, with deletions linked to infertility. The X chromosome carries genes vital for reproduction and cognition. Variation in mating patterns and brain function among great apes suggests corresponding differences in their sex chromosome structure and evolution. However, due to their highly repetitive nature and incomplete reference assemblies, ape sex chromosomes have been challenging to study. Here, using the state-of-the-art experimental and computational methods developed for the telomere-to-telomere (T2T) human genome, we produced gapless, complete assemblies of the X and Y chromosomes for five great apes (chimpanzee, bonobo, gorilla, Bornean and Sumatran orangutans) and a lesser ape, the siamang gibbon. These assemblies completely resolved ampliconic, palindromic, and satellite sequences, including the entire centromeres, allowing us to untangle the intricacies of ape sex chromosome evolution. We found that, compared to the X, ape Y chromosomes vary greatly in size and have low alignability and high levels of structural rearrangements. This divergence on the Y arises from the accumulation of lineage-specific ampliconic regions and palindromes (which are shared more broadly among species on the X) and from the abundance of transposable elements and satellites (which have a lower representation on the X). Our analysis of Y chromosome genes revealed lineage-specific expansions of multi-copy gene families and signatures of purifying selection. In summary, the Y exhibits dynamic evolution, while the X is more stable. Finally, mapping short-read sequencing data from >100 great ape individuals revealed the patterns of diversity and selection on their sex chromosomes, demonstrating the utility of these reference assemblies for studies of great ape evolution. These complete sex chromosome assemblies are expected to further inform conservation genetics of nonhuman apes, all of which are endangered species.
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Affiliation(s)
| | - Brandon D. Pickett
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Monika Cechova
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Karol Pal
- Penn State University, University Park, PA, USA
| | - Sergey Nurk
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - DongAhn Yoo
- University of Washington School of Medicine, Seattle, WA, USA
| | - Qiuhui Li
- Johns Hopkins University, Baltimore, MD, USA
| | - Prajna Hebbar
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | | | | | - Erich Bomberg
- University of Münster, Münster, Germany
- MPI for Developmental Biology, Tübingen, Germany
| | - Gerard G. Bouffard
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shelise Y. Brooks
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lucia Carbone
- Oregon Health & Science University, Portland, OR, USA
- Oregon National Primate Research Center, Hillsboro, OR, USA
| | - Laura Carrel
- Penn State University School of Medicine, Hershey, PA, USA
| | | | | | - Chen-Shan Chin
- Foundation of Biological Data Sciences, Belmont, CA, USA
| | | | | | | | - Mark Diekhans
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - Amalia Dutra
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gage H. Garcia
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | - Diana Haddad
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Pille Hallast
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | - Glenn Hickey
- University of California Santa Cruz, Santa Cruz, CA, USA
| | - David A. Hillis
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | - Hyeonsoo Jeong
- University of Washington School of Medicine, Seattle, WA, USA
| | | | | | | | - Charles Lee
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | | | | | - Patrick Masterson
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Karen H. Miga
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | - Evgenia Pak
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benedict Paten
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | - Arang Rhie
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | | | - Samuel Sacco
- University of California Santa Cruz, Santa Cruz, CA, USA
| | | | | | | | - Steven J. Solar
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Sweetalana
- Penn State University, University Park, PA, USA
| | - Alex Sweeten
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Johns Hopkins University, Baltimore, MD, USA
| | | | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Alice C. Young
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Xinru Zhang
- Penn State University, University Park, PA, USA
| | | | | | | | - Soojin V. Yi
- University of California Santa Barbara, Santa Barbara, CA, USA
| | | | | | - Sergey Koren
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Evan Eichler
- University of Washington School of Medicine, Seattle, WA, USA
- Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Adam M. Phillippy
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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15
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Li Z, Xue AZ, Maeda GP, Li Y, Nabity PD, Moran NA. Phylloxera and Aphids Show Distinct Features of Genome Evolution Despite Similar Reproductive Modes. Mol Biol Evol 2023; 40:msad271. [PMID: 38069672 DOI: 10.1093/molbev/msad271] [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: 08/19/2023] [Revised: 11/06/2023] [Accepted: 12/05/2023] [Indexed: 12/19/2023] Open
Abstract
Genomes of aphids (family Aphididae) show several unusual evolutionary patterns. In particular, within the XO sex determination system of aphids, the X chromosome exhibits a lower rate of interchromosomal rearrangements, fewer highly expressed genes, and faster evolution at nonsynonymous sites compared with the autosomes. In contrast, other hemipteran lineages have similar rates of interchromosomal rearrangement for autosomes and X chromosomes. One possible explanation for these differences is the aphid's life cycle of cyclical parthenogenesis, where multiple asexual generations alternate with 1 sexual generation. If true, we should see similar features in the genomes of Phylloxeridae, an outgroup of aphids which also undergoes cyclical parthenogenesis. To investigate this, we generated a chromosome-level assembly for the grape phylloxera, an agriculturally important species of Phylloxeridae, and identified its single X chromosome. We then performed synteny analysis using the phylloxerid genome and 30 high-quality genomes of aphids and other hemipteran species. Unexpectedly, we found that the phylloxera does not share aphids' patterns of chromosome evolution. By estimating interchromosomal rearrangement rates on an absolute time scale, we found that rates are elevated for aphid autosomes compared with their X chromosomes, but this pattern does not extend to the phylloxera branch. Potentially, the conservation of X chromosome gene content is due to selection on XO males that appear in the sexual generation. We also examined gene duplication patterns across Hemiptera and uncovered horizontal gene transfer events contributing to phylloxera evolution.
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Affiliation(s)
- Zheng Li
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Allen Z Xue
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Gerald P Maeda
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA
| | - Yiyuan Li
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA
- Institute of Plant Virology, Ningbo University, Ningbo, Zhejiang 315211, China
| | - Paul D Nabity
- Department of Botany and Plant Sciences, University of California Riverside, Riverside, CA 92521, USA
| | - Nancy A Moran
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712, USA
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16
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von Schalburg KR, Gowen BE, Christensen KA, Ignatz EH, Hall JR, Rise ML. The late-evolving salmon and trout join the GnRH1 club. Histochem Cell Biol 2023; 160:517-539. [PMID: 37566258 DOI: 10.1007/s00418-023-02227-z] [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] [Accepted: 07/18/2023] [Indexed: 08/12/2023]
Abstract
Although it is known that the whitefish, an ancient salmonid, expresses three distinct gonadotropin-releasing hormone (GnRH) forms in the brain, it has been thought that the later-evolving salmonids (salmon and trout) had only two types of GnRH: GnRH2 and GnRH3. We now provide evidence for the expression of GnRH1 in the gonads of Atlantic salmon by rapid amplification of cDNA ends, real-time quantitative PCR and immunohistochemistry. We examined six different salmonid genomes and found that each assembly has one gene that likely encodes a viable GnRH1 prepropeptide. In contrast to both functional GnRH2 and GnRH3 paralogs, the GnRH1 homeolog can no longer express the hormone. Furthermore, the viable salmonid GnRH1 mRNA is composed of only three exons, rather than the four exons that build the GnRH2 and GnRH3 mRNAs. Transcribed gnrh1 is broadly expressed (in 17/18 tissues examined), with relative abundance highest in the ovaries. Expression of the gnrh2 and gnrh3 mRNAs is more restricted, primarily to the brain, and not in the gonads. The GnRH1 proximal promoter presents composite binding elements that predict interactions with complexes that contain diverse cell fate and differentiation transcription factors. We provide immunological evidence for GnRH1 peptide in the nucleus of 1-year-old type A spermatogonia and cortical alveoli oocytes. GnRH1 peptide was not detected during other germ cell or reproductive stages. GnRH1 activity in the salmonid gonad may occur only during early stages of development and play a key role in a regulatory network that controls mitotic and/or meiotic processes within the germ cell.
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Affiliation(s)
- Kristian R von Schalburg
- Department of Biology, Electron Microscopy Laboratory, University of Victoria, Victoria, BC, V8W 3N5, Canada.
| | - Brent E Gowen
- Department of Biology, Electron Microscopy Laboratory, University of Victoria, Victoria, BC, V8W 3N5, Canada
| | - Kris A Christensen
- Department of Biology, University of Victoria, Victoria, BC, V8W 3N5, Canada
| | - Eric H Ignatz
- Department of Ocean Sciences, Memorial University of Newfoundland, St. John's, NL, A1C 5S7, Canada
| | - Jennifer R Hall
- Aquatic Research Cluster, CREAIT Network, Ocean Sciences Centre, Memorial University of Newfoundland, St. John's, NL, A1C 5S7, Canada
| | - Matthew L Rise
- Department of Ocean Sciences, Memorial University of Newfoundland, St. John's, NL, A1C 5S7, Canada
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17
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Kushwaha AK, Ellur RK, Maurya SK, Krishnan S. G, Bashyal BM, Bhowmick PK, Vinod KK, Bollinedi H, Singh NK, Singh AK. Fine mapping of qBK1.2, a major QTL governing resistance to bakanae disease in rice. FRONTIERS IN PLANT SCIENCE 2023; 14:1265176. [PMID: 38023939 PMCID: PMC10667430 DOI: 10.3389/fpls.2023.1265176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023]
Abstract
Bakanae disease caused by Fusarium fujikuroi is an emerging disease of rice causing losses in all rice-growing regions around the world. A BC2F2 population was developed by backcrossing the recurrent parent Pusa Basmati 1121 (PB1121) with the recombinant inbred line RIL28, which harbors a major quantitative trait locus (QTL) governing resistance to bakanae, qBK1.2. MassARRAY-based single-nucleotide polymorphism (SNP) assays targeting the genomic region of qBK1.2 helped in fine mapping the QTL to a region of 130 kb between the SNP markers rs3164311 and rs3295562 using 24 recombinants. In-silico mining of the fine-mapped region identified 11 putative candidate genes with functions related to defense. The expression analysis identified two significantly differentially expressed genes, that is, LOC_Os01g06750 and LOC_Os01g06870, between the susceptible genotype PB1121 and the resistant genotypes Pusa1342 and R-NIL4. Furthermore, the SNPs identified in LOC_Os01g06750 produced minor substitutions of amino acids with no major effect on the resistance-related functional motifs. However, LOC_Os01g06870 had 21 amino acid substitutions, which led to the creation of the leucine-rich repeat (LRR) domain in the resistant genotype Pusa1342, thereby making it a potential candidate underlying the major bakanae-resistant QTL qBK1.2. The markers used in the fine mapping program are of immense utility in marker-assisted breeding for bakanae resistance in rice.
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Affiliation(s)
- Amar Kant Kushwaha
- Division of Crop Improvement and Biotechnology, Indian Council of Agricultural Research (ICAR)-Central Institute for Subtropical Horticulture, Lucknow, India
| | - Ranjith Kumar Ellur
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Sarvesh Kumar Maurya
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Gopala Krishnan S.
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Bishnu Maya Bashyal
- Division of Plant Pathology, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Prolay Kumar Bhowmick
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - K. K. Vinod
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Haritha Bollinedi
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
| | - Nagendra Kumar Singh
- National Professor B.P. Pal Chair, Indian Council of Agricultural Research (ICAR)-National Institute of Plant Biotechnology, New Delhi, India
| | - Ashok Kumar Singh
- Division of Genetics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Research Institute, New Delhi, India
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18
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Sendell-Price AT, Tulenko FJ, Pettersson M, Kang D, Montandon M, Winkler S, Kulb K, Naylor GP, Phillippy A, Fedrigo O, Mountcastle J, Balacco JR, Dutra A, Dale RE, Haase B, Jarvis ED, Myers G, Burgess SM, Currie PD, Andersson L, Schartl M. Low mutation rate in epaulette sharks is consistent with a slow rate of evolution in sharks. Nat Commun 2023; 14:6628. [PMID: 37857613 PMCID: PMC10587355 DOI: 10.1038/s41467-023-42238-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: 03/31/2023] [Accepted: 10/03/2023] [Indexed: 10/21/2023] Open
Abstract
Sharks occupy diverse ecological niches and play critical roles in marine ecosystems, often acting as apex predators. They are considered a slow-evolving lineage and have been suggested to exhibit exceptionally low cancer rates. These two features could be explained by a low nuclear mutation rate. Here, we provide a direct estimate of the nuclear mutation rate in the epaulette shark (Hemiscyllium ocellatum). We generate a high-quality reference genome, and resequence the whole genomes of parents and nine offspring to detect de novo mutations. Using stringent criteria, we estimate a mutation rate of 7×10-10 per base pair, per generation. This represents one of the lowest directly estimated mutation rates for any vertebrate clade, indicating that this basal vertebrate group is indeed a slowly evolving lineage whose ability to restore genetic diversity following a sustained population bottleneck may be hampered by a low mutation rate.
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Affiliation(s)
- Ashley T Sendell-Price
- Department of Medical Biochemistry and Microbiology, Uppsala University, SE75123, Uppsala, Sweden
- Bioinformatics Research Technology Platform, University of Warwick, Coventry, UK
| | - Frank J Tulenko
- Australian Regenerative Medicine Institute, Monash University, Victoria, 3800, Australia
| | - Mats Pettersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, SE75123, Uppsala, Sweden
| | - Du Kang
- The Xiphophorus Genetic Stock Center, Department of Chemistry and Biochemistry, Texas State University, San Marcos, TX, 78666, USA
| | - Margo Montandon
- Australian Regenerative Medicine Institute, Monash University, Victoria, 3800, Australia
| | - Sylke Winkler
- Max-Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany
| | - Kathleen Kulb
- Max-Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany
| | - Gavin P Naylor
- Florida Museum of Natural History, University of Florida, Gainesville, FL, 32611, USA
| | - Adam Phillippy
- Translational and Functional Genomics Branch, National Human Genome Research Institute, National Institutes of Health Bethesda, Bethesda, MD, 20892, USA
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, Rockefeller University, New York, NY, 10065, USA
| | - Jacquelyn Mountcastle
- Research Center for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA
| | - Jennifer R Balacco
- Research Center for Genomic and Computational Biology, Duke University, Durham, NC, 27708, USA
| | - Amalia Dutra
- Cytogenetics and Microscopy Core, National Human Genome Research Institute, National Institutes of Health Bethesda, Bethesda, MD, 20892, USA
| | - Rebecca E Dale
- Australian Regenerative Medicine Institute, Monash University, Victoria, 3800, Australia
| | - Bettina Haase
- Vertebrate Genome Laboratory, Rockefeller University, New York, NY, 10065, USA
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, Rockefeller University, New York, NY, 10065, USA
| | - Gene Myers
- Max-Planck Institute of Molecular Cell Biology and Genetics, 01307, Dresden, Germany
- Center of Systems Biology Dresden, 01307, Dresden, Germany
| | - Shawn M Burgess
- Translational and Functional Genomics Branch, National Human Genome Research Institute, National Institutes of Health Bethesda, Bethesda, MD, 20892, USA.
| | - Peter D Currie
- Australian Regenerative Medicine Institute, Monash University, Victoria, 3800, Australia.
- EMBL Australia, Victorian Node, Monash University, Clayton, Victoria, 3800, Australia.
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, SE75123, Uppsala, Sweden.
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, TX77483, USA.
| | - Manfred Schartl
- Developmental Biochemistry, Theodor-Boveri Institute, Biocenter, University of Würzburg, 97074, Würzburg, Germany.
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19
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Shin NR, Okamura Y, Kirsch R, Pauchet Y. Genome sequencing provides insights into the evolution of gene families encoding plant cell wall-degrading enzymes in longhorned beetles. INSECT MOLECULAR BIOLOGY 2023; 32:469-483. [PMID: 37119017 DOI: 10.1111/imb.12844] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 04/17/2023] [Indexed: 06/19/2023]
Abstract
With more than 36,000 species, the longhorned beetles (family Cerambycidae) are a mega-diverse lineage of mostly xylophagous insects, all of which are represented by the sole sequenced genome of the Asian longhorned beetle (Anoplophora glabripennis; Lamiinae). Their successful radiation has been linked to their ability to degrade plant cell wall components using a range of so-called plant cell wall-degrading enzymes (PCWDEs). Our previous analysis of larval gut transcriptomes demonstrated that cerambycid beetles horizontally acquired genes encoding PCWDEs from various microbial donors; these genes evolved through multiple duplication events to form gene families. To gain further insights into the evolution of these gene families during the Cerambycidae radiation, we assembled draft genomes for four beetle species belonging to three subfamilies using long-read nanopore sequencing. All the PCWDE-encoding genes we annotated from the corresponding larval gut transcriptomes were present in these draft genomes. We confirmed that the newly discovered horizontally acquired glycoside hydrolase family 7 (GH7), subfamily 26 of GH43 (GH43_26), and GH53 (all of which are absent from the A. glabripennis genome) were indeed encoded by these beetles' genome. Most of the PCWDE-encoding genes of bacterial origin gained introns after their transfer into the beetle genome. Altogether, we show that draft genome assemblies generated from nanopore long-reads offer meaningful information to the study of the evolution of gene families in insects. We anticipate that our data will support studies aiming to better understand the biology of the Cerambycidae and other beetles in general.
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Affiliation(s)
- Na Ra Shin
- Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany
- Department of Insect Symbiosis, Max Planck Institute for Chemical Ecology, Jena, Germany
| | - Yu Okamura
- Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany
- Department of Insect Symbiosis, Max Planck Institute for Chemical Ecology, Jena, Germany
| | - Roy Kirsch
- Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany
- Department of Insect Symbiosis, Max Planck Institute for Chemical Ecology, Jena, Germany
| | - Yannick Pauchet
- Department of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany
- Department of Insect Symbiosis, Max Planck Institute for Chemical Ecology, Jena, Germany
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20
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Ndodo N, Ashcroft J, Lewandowski K, Yinka-Ogunleye A, Chukwu C, Ahmad A, King D, Akinpelu A, Maluquer de Motes C, Ribeca P, Sumner RP, Rambaut A, Chester M, Maishman T, Bamidele O, Mba N, Babatunde O, Aruna O, Pullan ST, Gannon B, Brown CS, Ihekweazu C, Adetifa I, Ulaeto DO. Distinct monkeypox virus lineages co-circulating in humans before 2022. Nat Med 2023; 29:2317-2324. [PMID: 37710003 PMCID: PMC10504077 DOI: 10.1038/s41591-023-02456-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 06/12/2023] [Indexed: 09/16/2023]
Abstract
The 2022 global mpox outbreak raises questions about how this zoonotic disease established effective human-to-human transmission and its potential for further adaptation. The 2022 outbreak virus is related to an ongoing outbreak in Nigeria originally reported in 2017, but the evolutionary path linking the two remains unclear due to a lack of genomic data between 2018, when virus exportations from Nigeria were first recorded, and 2022, when the global mpox outbreak began. Here, 18 viral genomes obtained from patients across southern Nigeria in 2019-2020 reveal multiple lineages of monkeypox virus (MPXV) co-circulated in humans for several years before 2022, with progressive accumulation of mutations consistent with APOBEC3 activity over time. We identify Nigerian A.2 lineage isolates, confirming the lineage that has been multiply exported to North America independently of the 2022 outbreak originated in Nigeria, and that it has persisted by human-to-human transmission in Nigeria for more than 2 years before its latest exportation. Finally, we identify a lineage-defining APOBEC3-style mutation in all A.2 isolates that disrupts gene A46R, encoding a viral innate immune modulator. Collectively, our data demonstrate MPXV capacity for sustained diversification within humans, including mutations that may be consistent with established mechanisms of poxvirus adaptation.
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Affiliation(s)
| | - Jonathan Ashcroft
- UK Public Health Rapid Support Team, UK Health Security Agency/London School of Hygiene & Tropical Medicine, London, UK
| | - Kuiama Lewandowski
- UK Health Security Agency, Research & Evaluation Services, Porton Down, UK
| | | | | | - Adama Ahmad
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | - David King
- CBR Division, Defence Science and Technology Laboratory, Salisbury, UK
| | | | - Carlos Maluquer de Motes
- Department of Microbial Sciences, School of Biosciences and Medicine, University of Surrey, Guildford, UK
| | - Paolo Ribeca
- UK Health Security Agency, London, UK
- Biomathematics and Statistics Scotland, Edinburgh, UK
| | - Rebecca P Sumner
- Department of Microbial Sciences, School of Biosciences and Medicine, University of Surrey, Guildford, UK
| | - Andrew Rambaut
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK
| | - Michael Chester
- CBR Division, Defence Science and Technology Laboratory, Salisbury, UK
| | - Tom Maishman
- CBR Division, Defence Science and Technology Laboratory, Salisbury, UK
| | | | - Nwando Mba
- Nigeria Centre for Disease Control, Abuja, Nigeria
| | | | - Olusola Aruna
- UK Health Security Agency, International Health Regulations (IHR) Strengthening Project, British High Commission, Abuja, Nigeria
| | - Steven T Pullan
- UK Health Security Agency, Research & Evaluation Services, Porton Down, UK
| | - Benedict Gannon
- UK Public Health Rapid Support Team, UK Health Security Agency/London School of Hygiene & Tropical Medicine, London, UK
| | | | | | | | - David O Ulaeto
- CBR Division, Defence Science and Technology Laboratory, Salisbury, UK.
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21
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Rhie A, Nurk S, Cechova M, Hoyt SJ, Taylor DJ, Altemose N, Hook PW, Koren S, Rautiainen M, Alexandrov IA, Allen J, Asri M, Bzikadze AV, Chen NC, Chin CS, Diekhans M, Flicek P, Formenti G, Fungtammasan A, Garcia Giron C, Garrison E, Gershman A, Gerton JL, Grady PGS, Guarracino A, Haggerty L, Halabian R, Hansen NF, Harris R, Hartley GA, Harvey WT, Haukness M, Heinz J, Hourlier T, Hubley RM, Hunt SE, Hwang S, Jain M, Kesharwani RK, Lewis AP, Li H, Logsdon GA, Lucas JK, Makalowski W, Markovic C, Martin FJ, Mc Cartney AM, McCoy RC, McDaniel J, McNulty BM, Medvedev P, Mikheenko A, Munson KM, Murphy TD, Olsen HE, Olson ND, Paulin LF, Porubsky D, Potapova T, Ryabov F, Salzberg SL, Sauria MEG, Sedlazeck FJ, Shafin K, Shepelev VA, Shumate A, Storer JM, Surapaneni L, Taravella Oill AM, Thibaud-Nissen F, Timp W, Tomaszkiewicz M, Vollger MR, Walenz BP, Watwood AC, Weissensteiner MH, Wenger AM, Wilson MA, Zarate S, Zhu Y, Zook JM, Eichler EE, O'Neill RJ, Schatz MC, Miga KH, Makova KD, Phillippy AM. The complete sequence of a human Y chromosome. Nature 2023; 621:344-354. [PMID: 37612512 PMCID: PMC10752217 DOI: 10.1038/s41586-023-06457-y] [Citation(s) in RCA: 92] [Impact Index Per Article: 92.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 07/19/2023] [Indexed: 08/25/2023]
Abstract
The human Y chromosome has been notoriously difficult to sequence and assemble because of its complex repeat structure that includes long palindromes, tandem repeats and segmental duplications1-3. As a result, more than half of the Y chromosome is missing from the GRCh38 reference sequence and it remains the last human chromosome to be finished4,5. Here, the Telomere-to-Telomere (T2T) consortium presents the complete 62,460,029-base-pair sequence of a human Y chromosome from the HG002 genome (T2T-Y) that corrects multiple errors in GRCh38-Y and adds over 30 million base pairs of sequence to the reference, showing the complete ampliconic structures of gene families TSPY, DAZ and RBMY; 41 additional protein-coding genes, mostly from the TSPY family; and an alternating pattern of human satellite 1 and 3 blocks in the heterochromatic Yq12 region. We have combined T2T-Y with a previous assembly of the CHM13 genome4 and mapped available population variation, clinical variants and functional genomics data to produce a complete and comprehensive reference sequence for all 24 human chromosomes.
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Affiliation(s)
- Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sergey Nurk
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Oxford Nanopore Technologies Inc., Oxford, UK
| | - Monika Cechova
- Faculty of Informatics, Masaryk University, Brno, Czech Republic
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Savannah J Hoyt
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Dylan J Taylor
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Nicolas Altemose
- Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA
| | - Paul W Hook
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mikko Rautiainen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ivan A Alexandrov
- Federal Research Center of Biotechnology of the Russian Academy of Sciences, Moscow, Russia
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- Department of Anatomy and Anthropology and Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Jamie Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Andrey V Bzikadze
- Graduate Program in Bioinformatics and Systems Biology, University of California, San Diego, CA, USA
| | - Nae-Chyun Chen
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Chen-Shan Chin
- GeneDX Holdings Corp, Stamford, CT, USA
- Foundation of Biological Data Science, Belmont, CA, USA
| | - Mark Diekhans
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
- Department of Genetics, University of Cambridge, Cambridge, UK
| | | | | | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Ariel Gershman
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer L Gerton
- Stowers Institute for Medical Research, Kansas City, MO, USA
- University of Kansas Medical Center, Kansas City, MO, USA
| | - Patrick G S Grady
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - Andrea Guarracino
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
- Genomics Research Centre, Human Technopole, Milan, Italy
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Reza Halabian
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Nancy F Hansen
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Robert Harris
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Gabrielle A Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
| | - William T Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Jakob Heinz
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | | | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Stephen Hwang
- XDBio Program, Johns Hopkins University, Baltimore, MD, USA
| | - Miten Jain
- Department of Bioengineering, Department of Physics, Northeastern University, Boston, MA, USA
| | - Rupesh K Kesharwani
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Alexandra P Lewis
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Julian K Lucas
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Wojciech Makalowski
- Institute of Bioinformatics, Faculty of Medicine, University of Münster, Münster, Germany
| | - Christopher Markovic
- Genome Technology Access Center at the McDonnell Genome Institute, Washington University, St. Louis, MO, USA
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Ann M Mc Cartney
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Jennifer McDaniel
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Brandy M McNulty
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Paul Medvedev
- Department of Computer Science and Engineering, Pennsylvania State University, University Park, PA, USA
- Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA, USA
- Center for Computational Biology and Bioinformatics, Pennsylvania State University, University Park, PA, USA
| | - Alla Mikheenko
- Center for Algorithmic Biotechnology, Saint Petersburg State University, St Petersburg, Russia
- UCL Queen Square Institute of Neurology, UCL, London, UK
| | - Katherine M Munson
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Hugh E Olsen
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Nathan D Olson
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Luis F Paulin
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Fedor Ryabov
- Masters Program in National Research University Higher School of Economics, Moscow, Russia
| | - Steven L Salzberg
- Departments of Biomedical Engineering, Computer Science, and Biostatistics, Johns Hopkins University, Baltimore, MD, USA
| | | | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
- Department of Computer Science, Rice University, Houston, TX, USA
| | | | | | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | | | - Likhitha Surapaneni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Angela M Taravella Oill
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Winston Timp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Marta Tomaszkiewicz
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Department of Biomedical Engineering, Pennsylvania State University, State College, PA, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Allison C Watwood
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | | | | | - Melissa A Wilson
- Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA
| | - Samantha Zarate
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Yiming Zhu
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, USA
| | - Justin M Zook
- Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Evan E Eichler
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Investigator, Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Rachel J O'Neill
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, USA
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA
| | - Michael C Schatz
- Department of Biology, Johns Hopkins University, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Karen H Miga
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Kateryna D Makova
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
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22
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Li Z, Xue AZ, Maeda GP, Li Y, Nabity PD, Moran NA. Phylloxera and aphids show distinct features of genome evolution despite similar reproductive modes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.28.555181. [PMID: 37693541 PMCID: PMC10491136 DOI: 10.1101/2023.08.28.555181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Genomes of aphids (family Aphididae) show several unusual evolutionary patterns. In particular, within the XO sex determination system of aphids, the X chromosome exhibits a lower rate of interchromosomal rearrangements, fewer highly expressed genes, and faster evolution at nonsynonymous sites compared to the autosomes. In contrast, other hemipteran lineages have similar rates of interchromosomal rearrangement for autosomes and X chromosomes. One possible explanation for these differences is the aphid's life cycle of cyclical parthenogenesis, where multiple asexual generations alternate with one sexual generation. If true, we should see similar features in the genomes of Phylloxeridae, an outgroup of aphids which also undergoes cyclical parthenogenesis. To investigate this, we generated a chromosome-level assembly for the grape phylloxera, an agriculturally important species of Phylloxeridae, and identified its single X chromosome. We then performed synteny analysis using the phylloxerid genome and 30 high-quality genomes of aphids and other hemipteran species. Unexpectedly, we found that the phylloxera does not share aphids' patterns of chromosome evolution. By estimating interchromosomal rearrangement rates on an absolute time scale, we found that rates are elevated for aphid autosomes compared to their X chromosomes, but this pattern does not extend to the phylloxera branch. Potentially, the conservation of X chromosome gene content is due to selection on XO males that appear in the sexual generation. We also examined gene duplication patterns across Hemiptera and uncovered horizontal gene transfer events contributing to phylloxera evolution.
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23
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Cao Y, Wang H, Jin P, Ma F, Zhou X. Identification and Characterization of the Very-Low-Density Lipoprotein Receptor Gene from Branchiostoma belcheri: Insights into the Origin and Evolution of the Low-Density Lipoprotein Receptor Gene Family. Animals (Basel) 2023; 13:2193. [PMID: 37443991 DOI: 10.3390/ani13132193] [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] [Received: 03/11/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
Low-density lipoprotein receptors (LDLRs) are a class of cell-surface endocytosis receptors that are mainly involved in cholesterol homeostasis and cellular signal transduction. Very-low-density lipoprotein receptors (VLDLRs), which are members of the LDLR family, have been regarded as multi-function receptors that fulfill diverse physiological functions. However, no VLDLR gene has been identified in protochordates to date. As a representative protochordate species, amphioxi are the best available example of vertebrate ancestors. Identifying and characterizing the VLDLR gene in amphioxi has high importance for exploring the evolutionary process of the LDLR family. With this study, a new amphioxus VLDLR gene (designated AmphiVLDLR) was cloned and characterized using RACE-PCR. The 3217 nt transcript of the AmphiVLDLR had a 2577 nt ORF, and the deduced 858 amino acids were highly conserved within vertebrate VLDLRs according to their primary structure and three-dimensional structure, both of which contained five characteristic domains. In contrast to other vertebrate VLDLRs, which had a conserved genomic structure organization with 19 exons and 18 introns, the AmphiVLDLR had 13 exons and 12 introns. The results of a selective pressure analysis showed that the AmphiVLDLR had numerous positive selection sites. Furthermore, the tissue expression of AmphiVLDLR using RT-qPCR showed that AmphiVLDLR RNA expression levels were highest in the gills and muscles, moderate in the hepatic cecum and gonads, and lowest in the intestines. The results of the evolutionary analysis demonstrated that the AmphiVLDLR gene is a new member of the VLDLR family whose family members have experienced duplications and deletions over the evolutionary process. These results imply that the functions of LDLR family members have also undergone differentiation. In summary, we found a new VLDLR gene homolog (AmphiVLDLR) in amphioxi. Our results provide insight into the function and evolution of the LDLR gene family.
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Affiliation(s)
- Yunpeng Cao
- School of Chemistry and Biological Engineering, Nanjing Normal University Taizhou College, Taizhou 225300, China
- Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210046, China
| | - Haili Wang
- Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210046, China
| | - Ping Jin
- Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210046, China
| | - Fei Ma
- Laboratory for Comparative Genomics and Bioinformatics & Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Science, Nanjing Normal University, Nanjing 210046, China
| | - Xue Zhou
- School of Chemistry and Biological Engineering, Nanjing Normal University Taizhou College, Taizhou 225300, China
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24
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Raipuria RK, Watts A, Sharma BB, Watts A, Bhattacharya R. Decoding allelic diversity, transcript variants and transcriptional complexity of CENH3 gene in Brassica oleracea var. botrytis. PROTOPLASMA 2023; 260:1149-1162. [PMID: 36705736 DOI: 10.1007/s00709-023-01837-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 01/07/2023] [Indexed: 06/07/2023]
Abstract
Histone proteins play a critical role in the primary organization of nucleosomes, which is the fundamental unit of chromatin. Among the five types of the histones, histone H3 has multiple variants, and the number differs among the species. Amongst histone H3 variants, centromeric histone H3 (CENH3) is crucial for centromere identification and proper chromosomal segregation during cell division. In the present study, we have identified 17 putative histone H3 genes of Brassica oleracea. Furthermore, we have done a detailed characterization of the CENH3 gene of B. oleracea. We showed that a single CENH3 gene exhibits allelic diversity with at least two alleles and alternative splicing pattern. Also, we have identified a CENH3 gene-specific co-dominant cleaved amplified polymorphic sequence marker SNP34(A/C) to distinguish CENH3 alleles and follow their expression in leaf and flower tissues. The gene structure analysis of the CENH3 gene revealed the conserved 5'-CAGCAG-3' sequence at the intron 3-exon 4 junction in B. oleracea, which serves as an alternative splicing site with one-codon (alanine) addition/deletion. However, this one-codon alternative splicing feature is not conserved in the CENH3 genes of wild allied Brassica species. Our finding suggests that transcriptional complexity and alternative splicing might play a key role in the transcriptional regulation and function of the CENH3 gene in B. oleracea. Altogether, data generated from the present study can serve as a primary information resource and can be used to engineer CENH3 gene towards developing haploid inducer lines in B. oleracea.
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Affiliation(s)
- Ritesh Kumar Raipuria
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India
| | - Anshul Watts
- ICAR-National Institute for Plant Biotechnology, Pusa Campus, New Delhi, 110012, India.
| | - Brij Bihari Sharma
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi, 110012, India
| | - Archana Watts
- Division of Plant Physiology, ICAR-Indian Agricultural Research Institute, Pusa Campus, New Delhi, 110012, India
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Xu H, Wang W, Ouyang H, Zhang X, Miao X, Feng J, Tao Y, Li Y. Expression profiling and antibacterial analysis of cd36 in mandarin fish, Siniperca chuatsi. FISH & SHELLFISH IMMUNOLOGY 2023:108901. [PMID: 37321429 DOI: 10.1016/j.fsi.2023.108901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/12/2023] [Accepted: 06/12/2023] [Indexed: 06/17/2023]
Abstract
Cd36 is classified as a class B scavenger receptor and has also been identified as a pattern recognition receptor. In this study, we investigated the genomic structure and molecular characteristics of cd36 in mandarin fish (Siniperca chuatsi), examined its tissue distribution, and evaluated its antibacterial activity. Genomic structure analysis showed that Sccd36 consists of 12 exons and 11 introns. Sequencing analysis confirmed that the open reading frame of Sccd36 contains 1410 bp, encoding 469 amino acids. Sccd36 is deeply conserved with other vertebrates in terms of genomic structure, gene loci and molecular evolution, and the feature of two transmembrane was observed in ScCd36 through structural prediction. Sccd36 was constitutively expressed in all tissues tested, with the strongest expression in the intestine, followed by the heart and the kidney. Dramatic changes of Sccd36 mRNA were detected in mucosal tissues, including the intestine, gill and skin, when stimulated by the microbial ligands lipopolysaccharide and lipoteichoic acid. In addition, ScCd36 was identified as having strong binding ability to microbial ligands and antibacterial activity against the gram-negative bacteria Aeromonas hydrophila and the gram-positive bacteria Streptococcus lactis. Furthermore, we verified that the genetic ablation of cd36 impaired the resistance of fish to bacterial challenge by using zebrafish cd36 knockout line. In conclusion, our findings suggest that ScCd36 plays a crucial role in the innate immune response of mandarin fish against bacterial infections. This also sets the stage for further exploration into the antibacterial function of Cd36 in lower vertebrate species.
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Affiliation(s)
- Hao Xu
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China; Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, Southwest University, Chongqing, 400715, China
| | - Wenbo Wang
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China
| | - Huaxin Ouyang
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China
| | - Xiaoxue Zhang
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China
| | - Xiaomin Miao
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China; Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, Southwest University, Chongqing, 400715, China
| | - Jingyun Feng
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China; Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, Southwest University, Chongqing, 400715, China
| | - Yixi Tao
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China; Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, Southwest University, Chongqing, 400715, China
| | - Yun Li
- Fisheries and Aquaculture Biotechnology Laboratory, College of Fisheries, Southwest University, Chongqing, 400715, China; Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), Key Laboratory of Aquatic Science of Chongqing, Southwest University, Chongqing, 400715, China.
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Verma D, Kaushal N, Balhara R, Singh K. Genome-wide analysis of Catalase gene family reveal insights into abiotic stress response mechanism in Brassica juncea and B. rapa. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2023; 330:111620. [PMID: 36738937 DOI: 10.1016/j.plantsci.2023.111620] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 01/19/2023] [Accepted: 01/28/2023] [Indexed: 06/18/2023]
Abstract
Environmental stresses affect the yield and productivity of Brassica crops. Catalases are important antioxidant enzymes involved in reducing excess hydrogen peroxide produced by environmental stresses. In the present study, nine and seven CAT family members in two oilseed Brassica species (B. juncea and B. rapa) were identified with complete characterization based on gene and protein structure. Phylogenetic classification categorized CAT proteins into three classes and differentiated the monocot and dicot-specific CAT proteins. Further, the gene and protein characterizations revealed a high degree of conservation across the CAT family members. Differences were observed in the CAT-HEME binding affinity in CAT1, CAT2, and CAT3 isozymes, which could suggest their differential enzyme activities in different conditions. Furthermore, protein-protein interaction with other antioxidant proteins suggested their coordinated role in ROS scavenging mechanisms. Notably, the differential gene expression of BjuCATs and BraCATs and CAT enzyme activities suggested their crucial roles in major abiotic stresses faced by Brassica species. Promoter analysis in BjuCATs and BraCATs suggested the presence of abiotic-stress responsive cis-regulatory elements. Gene regulatory network analysis suggested miRNA and TF mediated stress response in BjuCATs and BraCATs. CAT family screening and characterization in Brassica sp. has established a basic ground for further functional validation in abiotic and heavy-metal stresses which can help in developing stress tolerant crops.
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Affiliation(s)
- Deepika Verma
- Department of Biotechnology, BMS Block I, Panjab University, Sector 25, Chandigarh 160014, India
| | - Nishant Kaushal
- Department of Biotechnology, BMS Block I, Panjab University, Sector 25, Chandigarh 160014, India
| | - Rinku Balhara
- Department of Biotechnology, BMS Block I, Panjab University, Sector 25, Chandigarh 160014, India
| | - Kashmir Singh
- Department of Biotechnology, BMS Block I, Panjab University, Sector 25, Chandigarh 160014, India.
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27
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Miyakawa MO, Miyakawa H. Transformer gene regulates feminization under two complementary sex determination loci in the ant, Vollenhovia emeryi. INSECT BIOCHEMISTRY AND MOLECULAR BIOLOGY 2023; 156:103938. [PMID: 37028496 DOI: 10.1016/j.ibmb.2023.103938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/27/2023] [Accepted: 03/27/2023] [Indexed: 05/05/2023]
Abstract
Organisms that reproduce sexually have evolved well-organized mechanisms to determine two sexes. Some hymenopterans (such as ants, bees, and wasps) have a complementary sex-determination system in which heterozygosity at one CSD locus induces female development, whereas hemi- or homozygosity at the locus induces male development. This system can generate a high cost of inbreeding, as individuals that are homozygous at the locus become sterile, diploid males. On the other hand, some hymenopterans have evolved a multi-locus, complementary, sex-determination system in which heterozygosity in at least one CSD locus induces female development. This system effectively reduces the proportion of sterile diploid males; however, how these multiple
primary signals based on CSD pass through a molecular cascade to regulate downstream genes has remained unclear. To clarify this matter, we used a backcross to investigate the molecular cascade in the ant, Vollenhovia emeryi, with two CSD loci. Here we show by gene disruption that transformer (tra) is necessary for proper feminization. Expression analysis of tra and doublesex (dsx) showed that heterozygosity in at least one of the two CSD loci is sufficient to promote female sex determination. Analysis of overexpression suggested that female-type Tra protein promotes splicing of tra pre-mRNA to female isoform by a positive-regulatory-feedback loop. Our data also showed that tra affects splicing of dsx. We conclude that two-loci sex determination system in V. emeryi evolved based on tra-dsx splicing cascade that is well conserved in other insect species. Finally, we suggest a cascade model to arrive at a binary determination of sex under multiple primary signals.
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Affiliation(s)
- Misato Okamoto Miyakawa
- Center for Bioscience Research and Education, Utsunomiya University, 350, Minemachi, Utsunomiya, Tochigi, 321-8505, Japan.
| | - Hitoshi Miyakawa
- Center for Bioscience Research and Education, Utsunomiya University, 350, Minemachi, Utsunomiya, Tochigi, 321-8505, Japan
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28
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Li W, Zhao G, Jiao Z, Xiang C, Liang Y, Huang W, Nie P, Huang B. Nuclear import of IRF11 via the importin α/β pathway is essential for its antiviral activity. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2023; 141:104649. [PMID: 36716904 DOI: 10.1016/j.dci.2023.104649] [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: 09/12/2022] [Revised: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 06/18/2023]
Abstract
Interferon regulatory factor 11 (IRF11), an intriguing IRF member found only in fish species, has recently been shown to have antiviral properties that are dependent on its nuclear entry and DNA binding affinity. However, the mechanisms by which IRF11 enters the nucleus are unknown. In the present study, we found orthologs of IRF11 in lamprey and lancelet species by combining positional, phylogenetic and structural comparison data, showing that this gene has an ancient origin. The IRF11 gene (AjIRF11) from the Japanese eel, Anguilla japonica, was subsequently characterized, and it was found that AjIRF11 has antiviral activities against spring viremia of carp virus (SVCV), which are accomplished by regulating the production of type I IFN and IFN-stimulated genes. In addition to its known DNA binding residues in the α3 helix, two residues in Loop 1, His40 and Trp46, are also involved in DNA binding and activation of the IFN promoter. Using immunofluorescence microscopy and site-directed mutagenesis analysis, we confirmed that full nuclear localization of AjIRF11 requires the bipartite nuclear localization sequence (NLS) spanning residues 75 to 101, as well as the monopartite NLS situated between residues 119 and 122. Coimmunoprecipitation assays confirmed that AjIRF11 interacts with importin α via its NLSs and can also bind to importin β directly, implying that IRF11 can be imported to the nucleus by one or more transport receptors.
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Affiliation(s)
- Wenxing Li
- Fisheries College, Jimei University, Xiamen, 361021, China
| | - Gejie Zhao
- Fisheries College, Jimei University, Xiamen, 361021, China
| | - Zhiyuan Jiao
- Fisheries College, Jimei University, Xiamen, 361021, China
| | - Chao Xiang
- Fisheries College, Jimei University, Xiamen, 361021, China
| | - Ying Liang
- Fisheries College, Jimei University, Xiamen, 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China
| | - Wenshu Huang
- Fisheries College, Jimei University, Xiamen, 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China
| | - Pin Nie
- Laboratory for Marine Biology and Biotechnology, Qingdao National Laboratory for Marine Science and Technology, Qingdao, Shandong Province, 266237, China; School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, Shandong Province, 266109, China.
| | - Bei Huang
- Fisheries College, Jimei University, Xiamen, 361021, China; Key Laboratory of Healthy Mariculture for the East China Sea, Ministry of Agriculture and Rural Affairs, China.
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29
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Rohlfing K, Yue L, Franke S, Zeng C, Podsiadlowski L, Dobler S. When does the female bias arise? Insights from the sex determination cascade of a flea beetle with a strongly skewed sex ratio. Funct Integr Genomics 2023; 23:112. [PMID: 37000335 PMCID: PMC10066108 DOI: 10.1007/s10142-023-01023-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/03/2023] [Accepted: 03/09/2023] [Indexed: 04/01/2023]
Abstract
Reproduction-manipulating bacteria like Wolbachia can shift sex ratios in insects towards females, but skewed sex ratios may also arise from genetic conflicts. The flea beetle Altica lythri harbors three main mtDNA strains that are coupled to three different Wolbachia infections. Depending on the mtDNA types, the females produce either offspring with a balanced sex ratio or exclusively daughters. To obtain markers that can monitor when sex bias arises in the beetle's ontogeny, we elucidated the sex determination cascade of A. lythri. We established a RT-PCR method based on length variants of dsx (doublesex) transcripts to determine the sex of morphologically indistinguishable eggs and larvae. In females of one mtDNA type (HT1/HT1*) known to produce only daughters, male offspring were already missing at the egg stage while for females of another type (HT2), the dsx splice variants revealed a balanced sex ratio among eggs and larvae. Our data suggest that the sex determination cascade in A. lythri is initiated by maternally transmitted female-specific tra (transformer) mRNA as primary signal. This tra mRNA seems to be involved in a positive feedback loop that maintains the production of the female splice variant, as known for female offspring in Tribolium castaneum. The translation of the maternally transmitted female tra mRNA must be inhibited in male offspring, but the underlying primary genetic signal remains to be identified. We discuss which differences between the mtDNA types can influence sex determination and lead to the skewed sex ratio of HT1.
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Affiliation(s)
- Kim Rohlfing
- Institute of Animal Cell and Systems Biology, Universität Hamburg, Martin-Luther-King-Platz 3, D-20146, Hamburg, Germany.
| | - Lennart Yue
- Institute of Animal Cell and Systems Biology, Universität Hamburg, Martin-Luther-King-Platz 3, D-20146, Hamburg, Germany
| | - Sebastian Franke
- Institute of Animal Cell and Systems Biology, Universität Hamburg, Martin-Luther-King-Platz 3, D-20146, Hamburg, Germany
| | - Cen Zeng
- Institute of Animal Cell and Systems Biology, Universität Hamburg, Martin-Luther-King-Platz 3, D-20146, Hamburg, Germany
| | - Lars Podsiadlowski
- Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig, Bonn, Germany
| | - Susanne Dobler
- Institute of Animal Cell and Systems Biology, Universität Hamburg, Martin-Luther-King-Platz 3, D-20146, Hamburg, Germany.
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Maxeiner S, Krasteva-Christ G, Althaus M. Pitfalls of using sequence databases for heterologous expression studies - a technical review. J Physiol 2023; 601:1611-1623. [PMID: 36762618 DOI: 10.1113/jp284066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 02/07/2023] [Indexed: 02/11/2023] Open
Abstract
Synthesis of DNA fragments based on gene sequences that are available in public resources has become an efficient and affordable method that has gradually replaced traditional cloning efforts such as PCR cloning from cDNA. However, database entries based on genome sequencing results are prone to errors which can lead to false sequence information and, ultimately, errors in functional characterisation of proteins such as ion channels and transporters in heterologous expression systems. We have identified five common problems that repeatedly appear in public resources: (1) Not every gene has yet been annotated; (2) not all gene annotations are necessarily correct; (3) transcripts may contain automated corrections; (4) there are mismatches between gene, mRNA and protein sequences; and (5) splicing patterns often lack experimental validation. This technical review highlights and provides a strategy to bypass these issues in order to avoid critical mistakes that could impact future studies of any gene/protein of interest in heterologous expression systems.
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Affiliation(s)
- Stephan Maxeiner
- Institute for Anatomy and Cell Biology, Saarland University, Homburg, Germany
| | | | - Mike Althaus
- Department of Natural Sciences, Institute for Functional Gene Analytics, Bonn-Rhein-Sieg University of Applied Sciences, Rheinbach, Germany
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31
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In Silico Integrated Analysis of Genomic, Transcriptomic, and Proteomic Data Reveals QTL-Specific Genes for Bacterial Canker Resistance in Tomato ( Solanum lycopersicum L.). Curr Issues Mol Biol 2023; 45:1387-1395. [PMID: 36826035 PMCID: PMC9955012 DOI: 10.3390/cimb45020090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/29/2023] [Accepted: 01/30/2023] [Indexed: 02/09/2023] Open
Abstract
Bacterial canker of tomato, caused by Clavibacter michiganensis subsp. michiganensis (Cmm), is a devasting disease that leads to significant yield losses. Although QTLs originating from three wild species (Solanum arcanum, S. habrochaites, and S. pimpinellifolium) were identified, none of the QTLs was annotated for candidate gene identification. In the present study, a QTL-based physical map was constructed to reveal the meta-QTLs for Cmm resistance. As a result, seven major QTLs were mapped. Functional annotation of QTLs revealed 48 candidate genes. Additionally, experimentally validated Cmm resistance-related genes based on transcriptomic and proteomic studies were mapped in the genome and 25 genes were found to be located in the QTL regions. The present study is the first report to construct a physical map for Cmm resistance QTLs and identify QTL-specific candidate genes. The candidate genes identified in the present study are valuable targets for fine mapping and developing markers for marker-assisted selection in tomatoes for Cmm resistance breeding.
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32
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Wcisel DJ, Dornburg A, McConnell SC, Hernandez KM, Andrade J, de Jong JLO, Litman GW, Yoder JA. A highly diverse set of novel immunoglobulin-like transcript (NILT) genes in zebrafish indicates a wide range of functions with complex relationships to mammalian receptors. Immunogenetics 2023; 75:53-69. [PMID: 35869336 PMCID: PMC9845131 DOI: 10.1007/s00251-022-01270-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/01/2022] [Indexed: 01/21/2023]
Abstract
Multiple novel immunoglobulin-like transcripts (NILTs) have been identified from salmon, trout, and carp. NILTs typically encode activating or inhibitory transmembrane receptors with extracellular immunoglobulin (Ig) domains. Although predicted to provide immune recognition in ray-finned fish, we currently lack a definitive framework of NILT diversity, thereby limiting our predictions for their evolutionary origin and function. In order to better understand the diversity of NILTs and their possible roles in immune function, we identified five NILT loci in the Atlantic salmon (Salmo salar) genome, defined 86 NILT Ig domains within a 3-Mbp region of zebrafish (Danio rerio) chromosome 1, and described 41 NILT Ig domains as part of an alternative haplotype for this same genomic region. We then identified transcripts encoded by 43 different NILT genes which reflect an unprecedented diversity of Ig domain sequences and combinations for a family of non-recombining receptors within a single species. Zebrafish NILTs include a sole putative activating receptor but extensive inhibitory and secreted forms as well as membrane-bound forms with no known signaling motifs. These results reveal a higher level of genetic complexity, interindividual variation, and sequence diversity for NILTs than previously described, suggesting that this gene family likely plays multiple roles in host immunity.
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Affiliation(s)
- Dustin J Wcisel
- Department of Molecular Biomedical Sciences, Comparative Medicine Institute, and Center for Human Health and the Environment, North Carolina State University, Raleigh, 27607, NC, USA
| | - Alex Dornburg
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, 28223, NC, USA
| | - Sean C McConnell
- Section of Hematology-Oncology and Stem Cell Transplant, Department of Pediatrics, The University of Chicago, Chicago, IL, USA
| | - Kyle M Hernandez
- Center for Translational Data Science and Department of Medicine, University of Chicago, Chicago, IL, 60637, USA
| | - Jorge Andrade
- Center for Research Informatics, University of Chicago, Chicago, IL, USA
- Current Affiliation: Kite Pharma, Santa Monica, 90404, CA, USA
| | - Jill L O de Jong
- Section of Hematology-Oncology and Stem Cell Transplant, Department of Pediatrics, The University of Chicago, Chicago, IL, USA
| | - Gary W Litman
- Department of Pediatrics, University of South Florida Morsani College of Medicine, St. Petersburg, 33701, FL, USA
| | - Jeffrey A Yoder
- Department of Molecular Biomedical Sciences, Comparative Medicine Institute, and Center for Human Health and the Environment, North Carolina State University, Raleigh, 27607, NC, USA.
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33
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Cao M, Li Q, Liu X, Fu Q, Li C. Molecular characterization and expression analysis of immunoglobulins (IgM and IgT) heavy chains in black rockfish (Sebastes schlegelii) that response to bacterial challenge. FISH & SHELLFISH IMMUNOLOGY 2023; 133:108555. [PMID: 36669604 DOI: 10.1016/j.fsi.2023.108555] [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: 11/23/2022] [Revised: 01/16/2023] [Accepted: 01/16/2023] [Indexed: 06/17/2023]
Abstract
Sebastes schlegelii is a kind of fish with great economic values. Recently, with the continuous expansion of aquaculture scale and the continuous improvement of aquaculture density, outbreak of various diseases has caused huge economic losses to its aquaculture industry. Study of fish immune system can help to understand the mechanism of immune response to external pathogens and can promote the development of immune prevention and control methods. Immunoglobulins (Igs) are complex glycoproteins that appear to be unique to the vertebrates that can recognize a wide variety of pathogens and recruit immune cells and molecules to destroy pathogens, which are generated by a series of rearrangement and somatic mutations. We therefore studied the immunoglobulin genes of S. schlegelii in view of their important roles in resisting to external pathogen infections. In this study, the immunoglobulin heavy chain genes (sIgM, mIgM, sIgT, and mIgT) of S. schlegelii were successfully identified and cloned. Phylogenetic analysis showed that the IgM and IgT genes of S. schlegelii were clustered together with homologous genes of other species, indicating that they were highly conserved during the evolutionary process. Collinearity analysis showed that the immunoglobulin genes and their adjacent genes were aligned with zebrafish, Atlantic salmon and tilapia, which further confirmed the conserved immunoglobulin gene of teleost. Expression analysis of healthy tissues showed that the expression levels of sIgM, sIgT and mIgT were the highest in the skin, while mIgM was the highest in spleen. After different bacterial infection, IgM and IgT were significantly expressed in skin and gill, which may be because skin and gill are the first line of defense against the infection pathogens. Subcellular localization showed that the mIgT protein was expressed in both the cell membrane and cytoplasm. Meanwhile, recombinant protein of mIgT was obtained in vitro, which laid a foundation for subsequent protein function studies. These results provide a theoretical basis for understanding the immunity role of immunoglobulin in S. schlegelii.
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Affiliation(s)
- Min Cao
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China
| | - Qi Li
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China
| | - Xiantong Liu
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China
| | - Qiang Fu
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China
| | - Chao Li
- School of Marine Science and Engineering, Qingdao Agricultural University, Qingdao, 266109, China.
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Di Nisio E, Licursi V, Mannironi C, Buglioni V, Paiardini A, Robusti G, Noberini R, Bonaldi T, Negri R. A truncated and catalytically inactive isoform of KDM5B histone demethylase accumulates in breast cancer cells and regulates H3K4 tri-methylation and gene expression. Cancer Gene Ther 2023:10.1038/s41417-022-00584-w. [PMID: 36697763 DOI: 10.1038/s41417-022-00584-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 01/27/2023]
Abstract
KDM5B histone demethylase is overexpressed in many cancers and plays an ambivalent role in oncogenesis, depending on the specific context. This ambivalence could be explained by the expression of KDM5B protein isoforms with diverse functional roles, which could be present at different levels in various cancer cell lines. We show here that one of these isoforms, namely KDM5B-NTT, accumulates in breast cancer cell lines due to remarkable protein stability relative to the canonical PLU-1 isoform, which shows a much faster turnover. This isoform is the truncated and catalytically inactive product of an mRNA with a transcription start site downstream of the PLU-1 isoform, and the consequent usage of an alternative ATG for translation initiation. It also differs from the PLU-1 transcript in the inclusion of an additional exon (exon-6), previously attributed to other putative isoforms. Overexpression of this isoform in MCF7 cells leads to an increase in bulk H3K4 methylation and induces derepression of a gene cluster, including the tumor suppressor Cav1 and several genes involved in the interferon-alpha and -gamma response. We discuss the relevance of this finding considering the hypothesis that KDM5B may possess regulatory roles independent of its catalytic activity.
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Affiliation(s)
- Elena Di Nisio
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, via dei Sardi 70, 00185, Rome, Italy.,MRC Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Sir James Black Centre, Dow Street, DD1 5EH, Dundee, Scotland, UK
| | - Valerio Licursi
- Institute of Molecular Biology and Pathology (IBPM), National Research Council (CNR) of Italy, Via degli Apuli 4, 00185, Rome, Italy
| | - Cecilia Mannironi
- Institute of Molecular Biology and Pathology (IBPM), National Research Council (CNR) of Italy, Via degli Apuli 4, 00185, Rome, Italy
| | - Valentina Buglioni
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, via dei Sardi 70, 00185, Rome, Italy
| | - Alessandro Paiardini
- Department of Biochemical Sciences, Sapienza University of Rome, p.le Aldo Moro 5, 00185, Rome, Italy
| | - Giulia Robusti
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Roberta Noberini
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy
| | - Tiziana Bonaldi
- Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Via Adamello 16, 20139, Milan, Italy.,Department of Oncology and Hematology-Oncology, University of Milan, Milan, 20122, Italy
| | - Rodolfo Negri
- Department of Biology and Biotechnologies "C. Darwin", Sapienza University of Rome, via dei Sardi 70, 00185, Rome, Italy. .,Institute of Molecular Biology and Pathology (IBPM), National Research Council (CNR) of Italy, Via degli Apuli 4, 00185, Rome, Italy.
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Samuels ME, Lapointe C, Halwas S, Worley AC. Genomic Sequence of Canadian Chenopodium berlandieri: A North American Wild Relative of Quinoa. PLANTS (BASEL, SWITZERLAND) 2023; 12:467. [PMID: 36771551 PMCID: PMC9920564 DOI: 10.3390/plants12030467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/06/2023] [Accepted: 01/11/2023] [Indexed: 06/18/2023]
Abstract
Chenopodium berlandieri (pitseed goosefoot) is a widespread native North American plant, which was cultivated and consumed by indigenous peoples prior to the arrival of European colonists. Chenopodium berlandieri is closely related to, and freely hybridizes with the domesticated South American food crop C. quinoa. As such it is a potential source of wild germplasm for breeding with C. quinoa, for improved quinoa production in North America. The C. berlandieri genome sequence could also be a useful source of information for improving quinoa adaptation. To this end, we first optimized barcode markers in two chloroplast genes, rbcL and matK. Together these markers can distinguish C. berlandieri from the morphologically similar Eurasian invasive C. album (lamb's quarters). Second, we performed whole genome sequencing and preliminary assembly of a C. berlandieri accession collected in Manitoba, Canada. Our assembly, while fragmented, is consistent with the expected allotetraploid structure containing diploid Chenopodium sub-genomes A and B. The genome of our accession is highly homozygous, with only one variant site per 3-4000 bases in non-repetitive sequences. This is consistent with predominant self-fertilization. As previously reported for the genome of a partly domesticated Mexican accession of C. berlandieri, our genome assembly is similar to that of C. quinoa. Somewhat unexpectedly, the genome of our accession had almost as many variant sites when compared to the Mexican C. berlandieri, as compared to C. quinoa. Despite the overall similarity of our genome sequence to that of C. quinoa, there are differences in genes known to be involved in the domestication or genetics of other food crops. In one example, our genome assembly appears to lack one functional copy of the SOS1 (salt overly sensitive 1) gene. SOS1 is involved in soil salinity tolerance, and by extension may be relevant to the adaptation of C. berlandieri to the wet climate of the Canadian region where it was collected. Our genome assembly will be a useful tool for the improved cultivation of quinoa in North America.
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Affiliation(s)
- Mark E. Samuels
- Centre de Recherche du CHU Ste-Justine, Montréal, QC H3T 1C5, Canada
- Département de Biochimie, Université de Montréal, Montréal, QC H3T 1C5, Canada
- Département de Médecine, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Cassandra Lapointe
- Centre de Recherche du CHU Ste-Justine, Montréal, QC H3T 1C5, Canada
- Département de Biochimie, Université de Montréal, Montréal, QC H3T 1C5, Canada
| | - Sara Halwas
- Department of Anthropology, University of Manitoba, Winnipeg, MB R3T 2M8, Canada
| | - Anne C. Worley
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2M8, Canada
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36
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Li H. Protein-to-genome alignment with miniprot. Bioinformatics 2023; 39:btad014. [PMID: 36648328 PMCID: PMC9869432 DOI: 10.1093/bioinformatics/btad014] [Citation(s) in RCA: 63] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 12/25/2022] [Accepted: 01/16/2023] [Indexed: 01/18/2023] Open
Abstract
MOTIVATION Protein-to-genome alignment is critical to annotating genes in non-model organisms. While there are a few tools for this purpose, all of them were developed over 10 years ago and did not incorporate the latest advances in alignment algorithms. They are inefficient and could not keep up with the rapid production of new genomes and quickly growing protein databases. RESULTS Here, we describe miniprot, a new aligner for mapping protein sequences to a complete genome. Miniprot integrates recent techniques such as k-mer sketch and vectorized dynamic programming. It is tens of times faster than existing tools while achieving comparable accuracy on real data. AVAILABILITY AND IMPLEMENTATION https://github.com/lh3/miniport.
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Affiliation(s)
- Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA 02215, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
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Elayadeth-Meethal M, Keambou Tiambo C, Poonkuzhi Naseef P, Saheer Kuruniyan M, K Maloney S. The profile of HSPA1A gene expression and its association with heat tolerance in crossbred cattle and the tropically adapted dwarf Vechur and Kasaragod. J Therm Biol 2023; 111:103426. [PMID: 36585090 DOI: 10.1016/j.jtherbio.2022.103426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 12/02/2022] [Accepted: 12/07/2022] [Indexed: 12/14/2022]
Abstract
Certain livestock breeds are adapted to hot and humid environments, and these breeds have genetics that could be useful in a changing climate. The expression of several genes has been identified as a useful biomarker for heat stress. In this study, the responses to heat exposure of heat-tolerant Vechur and Kasaragod cattle found in Kerala state in India (also known as dwarf Bos taurus indicus) were compared to crossbred cattle (crosses of Bos t. taurus with Bos t. indicus). At various time points during heat exposure, rectal temperature and the expression of HSPA1A were determined, and the relationship between them was characterized. We characterized HSPA1A mRNA in Vechur cattle and performed molecular clock analysis. The expression of HSPA1A between the lineages and at different temperature humidity index (THI) was significant. There were significant differences between the expression profiles of HSPA1A in Kasaragod and crossbred (p < 0.01) and Vechur and crossbred (p < 0.01) cattle, but no significant difference in expression was observed between Vechur and Kasaragod cattle. The genetic distance between Vechur, B. grunniens, B. t. taurus, and B. t. indicus was 0.0233, 0.0059, and 0.007, respectively. The genetic distance between Vechur and the Indian dwarf breed Malnad Gidda was 0.0081. A molecular clock analysis revealed divergent adaptive evolution of Vechur cattle to B. t. taurus, with adaptations to the high temperatures and humidity that are prevalent in their breeding tract in Kerala, India. These results could also prove useful in selecting heat-tolerant animals using HSPA1A as a marker.
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Affiliation(s)
- Muhammed Elayadeth-Meethal
- Department of Animal Breeding and Genetics, Kerala Veterinary and Animal Sciences University, Pookode, Wayanad, Kerala, India.
| | - Christian Keambou Tiambo
- Centre for Tropical Livestock Genetics and Health, International Livestock Research Institute, Nairobi, Kenya.
| | | | - Mohamed Saheer Kuruniyan
- Department of Dental Technology, College of Applied Medical Sciences, King Khalid University, Abha, 61421, Saudi Arabia.
| | - Shane K Maloney
- School of Human Sciences, University of Western Australia, Crawley, Australia.
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Aleotti A, Wilkie IC, Yañez-Guerra LA, Gattoni G, Rahman TA, Wademan RF, Ahmad Z, Ivanova DA, Semmens DC, Delroisse J, Cai W, Odekunle E, Egertová M, Ferrario C, Sugni M, Bonasoro F, Elphick MR. Discovery and functional characterization of neuropeptides in crinoid echinoderms. Front Neurosci 2022; 16:1006594. [PMID: 36583101 PMCID: PMC9793003 DOI: 10.3389/fnins.2022.1006594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 11/09/2022] [Indexed: 12/14/2022] Open
Abstract
Neuropeptides are one of the largest and most diverse families of signaling molecules in animals and, accordingly, they regulate many physiological processes and behaviors. Genome and transcriptome sequencing has enabled the identification of genes encoding neuropeptide precursor proteins in species from a growing variety of taxa, including bilaterian and non-bilaterian animals. Of particular interest are deuterostome invertebrates such as the phylum Echinodermata, which occupies a phylogenetic position that has facilitated reconstruction of the evolution of neuropeptide signaling systems in Bilateria. However, our knowledge of neuropeptide signaling in echinoderms is largely based on bioinformatic and experimental analysis of eleutherozoans-Asterozoa (starfish and brittle stars) and Echinozoa (sea urchins and sea cucumbers). Little is known about neuropeptide signaling in crinoids (feather stars and sea lilies), which are a sister clade to the Eleutherozoa. Therefore, we have analyzed transcriptome/genome sequence data from three feather star species, Anneissia japonica, Antedon mediterranea, and Florometra serratissima, to produce the first comprehensive identification of neuropeptide precursors in crinoids. These include representatives of bilaterian neuropeptide precursor families and several predicted crinoid neuropeptide precursors. Using A. mediterranea as an experimental model, we have investigated the expression of selected neuropeptides in larvae (doliolaria), post-metamorphic pentacrinoids and adults, providing new insights into the cellular architecture of crinoid nervous systems. Thus, using mRNA in situ hybridization F-type SALMFamide precursor transcripts were revealed in a previously undescribed population of peptidergic cells located dorso-laterally in doliolaria. Furthermore, using immunohistochemistry a calcitonin-type neuropeptide was revealed in the aboral nerve center, circumoral nerve ring and oral tube feet in pentacrinoids and in the ectoneural and entoneural compartments of the nervous system in adults. Moreover, functional analysis of a vasopressin/oxytocin-type neuropeptide (crinotocin), which is expressed in the brachial nerve of the arms in A. mediterranea, revealed that this peptide causes a dose-dependent change in the mechanical behavior of arm preparations in vitro-the first reported biological action of a neuropeptide in a crinoid. In conclusion, our findings provide new perspectives on neuropeptide signaling in echinoderms and the foundations for further exploration of neuropeptide expression/function in crinoids as a sister clade to eleutherozoan echinoderms.
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Affiliation(s)
- Alessandra Aleotti
- Department of Environmental Science and Policy, University of Milan, Milan, Italy,School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Iain C. Wilkie
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, United Kingdom
| | - Luis A. Yañez-Guerra
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Giacomo Gattoni
- Department of Environmental Science and Policy, University of Milan, Milan, Italy,School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Tahshin A. Rahman
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Richard F. Wademan
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Zakaryya Ahmad
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Deyana A. Ivanova
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Dean C. Semmens
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Jérôme Delroisse
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Weigang Cai
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Esther Odekunle
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Michaela Egertová
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Cinzia Ferrario
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Michela Sugni
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Francesco Bonasoro
- Department of Environmental Science and Policy, University of Milan, Milan, Italy
| | - Maurice R. Elphick
- School of Biological & Behavioural Sciences, Queen Mary University of London, London, United Kingdom,*Correspondence: Maurice R. Elphick,
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Jarvis ED, Formenti G, Rhie A, Guarracino A, Yang C, Wood J, Tracey A, Thibaud-Nissen F, Vollger MR, Porubsky D, Cheng H, Asri M, Logsdon GA, Carnevali P, Chaisson MJP, Chin CS, Cody S, Collins J, Ebert P, Escalona M, Fedrigo O, Fulton RS, Fulton LL, Garg S, Gerton JL, Ghurye J, Granat A, Green RE, Harvey W, Hasenfeld P, Hastie A, Haukness M, Jaeger EB, Jain M, Kirsche M, Kolmogorov M, Korbel JO, Koren S, Korlach J, Lee J, Li D, Lindsay T, Lucas J, Luo F, Marschall T, Mitchell MW, McDaniel J, Nie F, Olsen HE, Olson ND, Pesout T, Potapova T, Puiu D, Regier A, Ruan J, Salzberg SL, Sanders AD, Schatz MC, Schmitt A, Schneider VA, Selvaraj S, Shafin K, Shumate A, Stitziel NO, Stober C, Torrance J, Wagner J, Wang J, Wenger A, Xiao C, Zimin AV, Zhang G, Wang T, Li H, Garrison E, Haussler D, Hall I, Zook JM, Eichler EE, Phillippy AM, Paten B, Howe K, Miga KH. Semi-automated assembly of high-quality diploid human reference genomes. Nature 2022; 611:519-531. [PMID: 36261518 PMCID: PMC9668749 DOI: 10.1038/s41586-022-05325-5] [Citation(s) in RCA: 70] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 09/06/2022] [Indexed: 01/01/2023]
Abstract
The current human reference genome, GRCh38, represents over 20 years of effort to generate a high-quality assembly, which has benefitted society1,2. However, it still has many gaps and errors, and does not represent a biological genome as it is a blend of multiple individuals3,4. Recently, a high-quality telomere-to-telomere reference, CHM13, was generated with the latest long-read technologies, but it was derived from a hydatidiform mole cell line with a nearly homozygous genome5. To address these limitations, the Human Pangenome Reference Consortium formed with the goal of creating high-quality, cost-effective, diploid genome assemblies for a pangenome reference that represents human genetic diversity6. Here, in our first scientific report, we determined which combination of current genome sequencing and assembly approaches yield the most complete and accurate diploid genome assembly with minimal manual curation. Approaches that used highly accurate long reads and parent-child data with graph-based haplotype phasing during assembly outperformed those that did not. Developing a combination of the top-performing methods, we generated our first high-quality diploid reference assembly, containing only approximately four gaps per chromosome on average, with most chromosomes within ±1% of the length of CHM13. Nearly 48% of protein-coding genes have non-synonymous amino acid changes between haplotypes, and centromeric regions showed the highest diversity. Our findings serve as a foundation for assembling near-complete diploid human genomes at scale for a pangenome reference to capture global genetic variation from single nucleotides to structural rearrangements.
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Affiliation(s)
- Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrea Guarracino
- Genomics Research Centre, Human Technopole, Viale Rita Levi-Montalcini, Milan, Italy
| | | | - Jonathan Wood
- Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Alan Tracey
- Tree of Life, Wellcome Sanger Institute, Cambridge, UK
| | - Francoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Mitchell R Vollger
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - David Porubsky
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Haoyu Cheng
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Mobin Asri
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Glennis A Logsdon
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Mark J P Chaisson
- Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Chen-Shan Chin
- Foundation for Biological Data Science, Belmont, CA, USA
| | - Sarah Cody
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Peter Ebert
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Merly Escalona
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
| | - Robert S Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Lucinda L Fulton
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Shilpa Garg
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | | | - Jay Ghurye
- Dovetail Genomics, Scotts Valley, CA, USA
| | | | - Richard E Green
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - William Harvey
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Patrick Hasenfeld
- European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | | | - Marina Haukness
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | | | - Miten Jain
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Melanie Kirsche
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Mikhail Kolmogorov
- Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA, USA
| | - Jan O Korbel
- European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Joyce Lee
- Bionano Genomics, San Diego, CA, USA
| | - Daofeng Li
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tina Lindsay
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Julian Lucas
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Feng Luo
- School of Computing, Clemson University, Clemson, SC, USA
| | - Tobias Marschall
- Institute for Medical Biometry and Bioinformatics, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | | | - Jennifer McDaniel
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Fan Nie
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Hugh E Olsen
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Nathan D Olson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Trevor Pesout
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Tamara Potapova
- Stowers Institute for Medical Research, Kansas City, MO, USA
| | - Daniela Puiu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | | | - Jue Ruan
- Agricultural Genomics Institute, Chinese Academy of Agricultural Sciences, Shenzhen, China
| | - Steven L Salzberg
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Ashley D Sanders
- Berlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Michael C Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | | | - Valerie A Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | - Kishwar Shafin
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Alaina Shumate
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Nathan O Stitziel
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- Cardiovascular Division, John T. Milliken Department of Internal Medicine, Washington University School of Medicine, St. Louis, USA
| | - Catherine Stober
- European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany
| | | | - Justin Wagner
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Jianxin Wang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | | | - Chuanle Xiao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Aleksey V Zimin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Guojie Zhang
- Center for Evolutionary & Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Wang
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- The Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Heng Li
- Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Erik Garrison
- Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN, USA
| | - David Haussler
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Ira Hall
- Yale School of Medicine, New Haven, CT, USA
| | - Justin M Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Evan E Eichler
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge, UK.
| | - Karen H Miga
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA.
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Gou H, Nai G, Lu S, Ma W, Chen B, Mao J. Genome-wide identification and expression analysis of PIN gene family under phytohormone and abiotic stresses in Vitis Vinifera L. PHYSIOLOGY AND MOLECULAR BIOLOGY OF PLANTS : AN INTERNATIONAL JOURNAL OF FUNCTIONAL PLANT BIOLOGY 2022; 28:1905-1919. [PMID: 36484025 PMCID: PMC9723067 DOI: 10.1007/s12298-022-01239-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 09/13/2022] [Accepted: 10/12/2022] [Indexed: 06/17/2023]
Abstract
The auxin efflux transport proteins PIN-formed (PIN) has wide adaptability to hormone and abiotic stress, but the response mechanism of PINs in grape remains unclear. In this study, 12 members of VvPINs were identified and distributed on 8 chromosomes. The PIN genes of five species were divided into two subgroups, and the similarity of exons/introns and motifs of VvPIN genes were found in the same subgroup. Meanwhile, according to the examination of conserved motifs, the motif 3 included the conserved structure NPNTY. The promoter region of VvPIN gene family contained various cis-acting elements, which were related to light, abiotic stress, and hormones which are essential for growth and development. Additionally, VvPIN1, VvPIN9, and VvPIN11 proteins simultaneously interacted with the ARF, ABC, PINOID, GBF1, and VIT_08s0007g09010. The results of qRT-PCR revealed that the majority of the VvPINs were highly induced by NAA, GA3, ABA, MeJA, SA, NaCl, low-temperature (4 ℃), and PEG treatments, and the results were consistent with the prediction of the cis-acting elements. Moreover, the expression profile and quantitative real-time PCR (qRT-PCR) demonstrated that VvPIN genes were expressed in roots, stems, and leaves. The subcellular localization of VvPIN1 in Nicotiana benthamiana revealed that VvPIN1 was localized at the plasma membrane. Collectively, this study revealed that PIN genes could respond to various abiotic stresses, and provided a framework for regulating the expression of PIN genes to enhance the resistance of the grape. Supplementary Information The online version contains supplementary material available at 10.1007/s12298-022-01239-8.
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Affiliation(s)
- Huimin Gou
- College of Horticulture, Gansu Agricultural University, Lanzhou, 730070 Gansu Province People’s Republic of China
| | - Guojie Nai
- College of Horticulture, Gansu Agricultural University, Lanzhou, 730070 Gansu Province People’s Republic of China
| | - Shixiong Lu
- College of Horticulture, Gansu Agricultural University, Lanzhou, 730070 Gansu Province People’s Republic of China
| | - Weifeng Ma
- College of Horticulture, Gansu Agricultural University, Lanzhou, 730070 Gansu Province People’s Republic of China
| | - Baihong Chen
- College of Horticulture, Gansu Agricultural University, Lanzhou, 730070 Gansu Province People’s Republic of China
| | - Juan Mao
- College of Horticulture, Gansu Agricultural University, Lanzhou, 730070 Gansu Province People’s Republic of China
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41
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Li Z, Li Y, Xue AZ, Dang V, Renee Holmes V, Spencer Johnston J, Barrick JE, Moran NA. The genomic basis of evolutionary novelties in a leafhopper. Mol Biol Evol 2022; 39:6677381. [PMID: 36026509 PMCID: PMC9450646 DOI: 10.1093/molbev/msac184] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Evolutionary innovations generate phenotypic and species diversity. Elucidating the genomic processes underlying such innovations is central to understanding biodiversity. In this study, we addressed the genomic basis of evolutionary novelties in the glassy-winged sharpshooter (Homalodisca vitripennis, GWSS), an agricultural pest. Prominent evolutionary innovations in leafhoppers include brochosomes, proteinaceous structures that are excreted and used to coat the body, and obligate symbiotic associations with two bacterial types that reside within cytoplasm of distinctive cell types. Using PacBio long-read sequencing and Dovetail Omni-C technology, we generated a chromosome-level genome assembly for the GWSS and then validated the assembly using flow cytometry and karyotyping. Additional transcriptomic and proteomic data were used to identify novel genes that underlie brochosome production. We found that brochosome-associated genes include novel gene families that have diversified through tandem duplications. We also identified the locations of genes involved in interactions with bacterial symbionts. Ancestors of the GWSS acquired bacterial genes through horizontal gene transfer (HGT), and these genes appear to contribute to symbiont support. Using a phylogenomics approach, we inferred HGT sources and timing. We found that some HGT events date to the common ancestor of the hemipteran suborder Auchenorrhyncha, representing some of the oldest known examples of HGT in animals. Overall, we show that evolutionary novelties in leafhoppers are generated by the combination of acquiring novel genes, produced both de novo and through tandem duplication, acquiring new symbiotic associations that enable use of novel diets and niches, and recruiting foreign genes to support symbionts and enhance herbivory.
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Affiliation(s)
- Zheng Li
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Yiyuan Li
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.,State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Key Laboratory of Biotechnology in Plant Protection of Ministry of Agriculture and Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, Zhejiang, China
| | - Allen Z Xue
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
| | - Vy Dang
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - V Renee Holmes
- Department of Entomology, Texas A&M University, College Station, TX,USA
| | | | - Jeffrey E Barrick
- Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
| | - Nancy A Moran
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
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42
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Identification of the Gene Repertoire of the IMD Pathway and Expression of Antimicrobial Peptide Genes in Several Tissues and Hemolymph of the Cockroach Blattella germanica. Int J Mol Sci 2022; 23:ijms23158444. [PMID: 35955579 PMCID: PMC9369362 DOI: 10.3390/ijms23158444] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/26/2022] [Accepted: 07/28/2022] [Indexed: 02/05/2023] Open
Abstract
Antimicrobial peptide (AMP) genes, triggered by Toll and IMD pathways, are essential components of the innate immune system in the German cockroach Blattella germanica. Besides their role in killing pathogenic bacteria, AMPs could be involved in controlling its symbiotic systems (endosymbiont and microbiota). We found that the IMD pathway was active in the adult female transcriptomes of six tissues (salivary glands, foregut, midgut, hindgut, Malpighian tubules and fat body) and hemolymph. Total expression of AMP genes was high in hemolymph and salivary glands and much lower in the other sample types. The expression of specific AMP genes was very heterogeneous among sample types. Two genes, defensin_g10 and drosomycin_g5, displayed relevant expression in the seven sample types, although higher in hemolymph. Other genes only displayed high expression in one tissue. Almost no expression of attacin-like and blattellicin genes was observed in any sample type, although some of them were among the genes with the highest expression in adult female whole bodies. The expression of AMP genes in salivary glands could help control pathogens ingested with food and even determine gut microbiota composition. The low expression levels in midgut and hindgut are probably related to the presence of beneficial microbiota. Furthermore, a reduction in the expression of AMP genes in fat body could be the way to prevent damage to the population of the endosymbiont Blattabacterium cuenoti within bacteriocytes.
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43
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Feng K, Su J, Wu Z, Su S, Yao W. Molecular Cloning and Expression Analysis of Thyrotropin-Releasing Hormone, and Its Possible Role in Gonadal Differentiation in Rice Field eel Monopterus albus. Animals (Basel) 2022; 12:1691. [PMID: 35804589 PMCID: PMC9264984 DOI: 10.3390/ani12131691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/27/2022] [Accepted: 06/28/2022] [Indexed: 11/16/2022] Open
Abstract
Rice field eel (Monopterus albus), a protogynous hermaphrodite fish, is a good model for the research of sex determination and gonadal differentiation in teleosts. In this study, we cloned the full-length cDNA sequence of trh, which encoded a predicted protein with 270 amino acids. Trh mainly expressed in the brain, followed by the ovary, testis, muscle and pituitary, and had low levels in other peripheral tissues. During natural sex reversal, trh mRNA expression levels exhibited a significant increase at the late intersexual stage in the hypothalamus. In the gonad, trh mRNA expression levels showed a trend of increase followed by decrease, and only increased significantly at the middle intersexual stage. No matter static incubation or intraperitoneal (IP) injection, TRH had no significant effect on trh and thyroid-stimulating hormone βsubunit (tshβ) mRNA expression levels, and serum T3, T4 and TRH release. After static incubation of ovarian fragments by TRH, the expression of gonadal soma derived factor (gsdf) was up-regulated significantly at both the doses of 10 and 100 nM. IP injection of TRH stimulated the expression of gsdf, and inhibited the expression of ovarian aromatase gene (cyp19a1a), accompanied by the increase of serum 11-KT levels. The results indicated that TRH may play a novel role in gonadal differentiation by the regulation of gonadal differentiation-related gene expression and sex steroid hormone secretion in rice field eel.
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Affiliation(s)
| | | | | | | | - Weizhi Yao
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), College of Fisheries, Southwest University, Chongqing 400715, China; (K.F.); (J.S.); (Z.W.); (S.S.)
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44
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Formenti G, Rhie A, Walenz BP, Thibaud-Nissen F, Shafin K, Koren S, Myers EW, Jarvis ED, Phillippy AM. Merfin: improved variant filtering, assembly evaluation and polishing via k-mer validation. Nat Methods 2022; 19:696-704. [PMID: 35361932 PMCID: PMC9745813 DOI: 10.1038/s41592-022-01445-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 03/07/2022] [Indexed: 12/15/2022]
Abstract
Variant calling has been widely used for genotyping and for improving the consensus accuracy of long-read assemblies. Variant calls are commonly hard-filtered with user-defined cutoffs. However, it is impossible to define a single set of optimal cutoffs, as the calls heavily depend on the quality of the reads, the variant caller of choice and the quality of the unpolished assembly. Here, we introduce Merfin, a k-mer based variant-filtering algorithm for improved accuracy in genotyping and genome assembly polishing. Merfin evaluates each variant based on the expected k-mer multiplicity in the reads, independently of the quality of the read alignment and variant caller's internal score. Merfin increased the precision of genotyped calls in several benchmarks, improved consensus accuracy and reduced frameshift errors when applied to human and nonhuman assemblies built from Pacific Biosciences HiFi and continuous long reads or Oxford Nanopore reads, including the first complete human genome. Moreover, we introduce assembly quality and completeness metrics that account for the expected genomic copy numbers.
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Affiliation(s)
- Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA.
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Brian P Walenz
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | | | - Sergey Koren
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Eugene W Myers
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | - Erich D Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University, New York, NY, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Adam M Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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45
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Siena LA, Azzaro CA, Podio M, Stein J, Leblanc O, Pessino SC, Ortiz JPA. The Auxin-Response Repressor IAA30 Is Down-Regulated in Reproductive Tissues of Apomictic Paspalum notatum. PLANTS 2022; 11:plants11111472. [PMID: 35684245 PMCID: PMC9182604 DOI: 10.3390/plants11111472] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 04/20/2022] [Accepted: 05/18/2022] [Indexed: 11/25/2022]
Abstract
The capacity for apomixis in Paspalum notatum is controlled by a single-dominant genomic region, which shows strong synteny to a portion of rice chromosome 12 long arm. The locus LOC_Os12g40890, encoding the Auxin/Indole-3-Acetic Acid (Aux/IAA) family member OsIAA30, is located in this rice genomic segment. The objectives of this work were to identify transcripts coding for Aux/IAA proteins expressed in reproductive tissues of P. notatum, detect the OsIAA30 putative ortholog and analyze its temporal and spatial expression pattern in reproductive organs of sexual and apomictic plants. Thirty-three transcripts coding for AUX/IAA proteins were identified. Predicted protein alignment and phylogenetic analysis detected a highly similar sequence to OsIAA30 (named as PnIAA30) present in both sexual and apomictic samples. The expression assays of PnIAA30 showed a significant down-regulation in apomictic spikelets compared to sexual ones at the stages of anthesis and post-anthesis, representation levels negatively correlated with apospory expressivity and different localizations in sexual and apomictic ovules. Several PnIAA30 predicted interactors also appeared differentially regulated in the sexual and apomictic floral transcriptomes. Our results showed that an auxin-response repressor similar to OsIAA30 is down-regulated in apomictic spikelets of P. notatum and suggests a contrasting regulation of auxin signaling during sexual and asexual seed formation.
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Affiliation(s)
- Lorena Adelina Siena
- Laboratorio de Biología Molecular, Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) CONICET-UNR, Facultad de Ciencias Agrarias, Campo Experimental Villarino, Universidad Nacional de Rosario, Zavalla S2125ZAA, Santa Fe, Argentina; (L.A.S.); (C.A.A.); (M.P.); (J.S.); (S.C.P.)
| | - Celeste Antonela Azzaro
- Laboratorio de Biología Molecular, Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) CONICET-UNR, Facultad de Ciencias Agrarias, Campo Experimental Villarino, Universidad Nacional de Rosario, Zavalla S2125ZAA, Santa Fe, Argentina; (L.A.S.); (C.A.A.); (M.P.); (J.S.); (S.C.P.)
| | - Maricel Podio
- Laboratorio de Biología Molecular, Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) CONICET-UNR, Facultad de Ciencias Agrarias, Campo Experimental Villarino, Universidad Nacional de Rosario, Zavalla S2125ZAA, Santa Fe, Argentina; (L.A.S.); (C.A.A.); (M.P.); (J.S.); (S.C.P.)
| | - Juliana Stein
- Laboratorio de Biología Molecular, Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) CONICET-UNR, Facultad de Ciencias Agrarias, Campo Experimental Villarino, Universidad Nacional de Rosario, Zavalla S2125ZAA, Santa Fe, Argentina; (L.A.S.); (C.A.A.); (M.P.); (J.S.); (S.C.P.)
| | - Olivier Leblanc
- DIADE, Université de Montpellier, IRD, CIRAD, 34394 Montpellier, France;
| | - Silvina Claudia Pessino
- Laboratorio de Biología Molecular, Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) CONICET-UNR, Facultad de Ciencias Agrarias, Campo Experimental Villarino, Universidad Nacional de Rosario, Zavalla S2125ZAA, Santa Fe, Argentina; (L.A.S.); (C.A.A.); (M.P.); (J.S.); (S.C.P.)
| | - Juan Pablo Amelio Ortiz
- Laboratorio de Biología Molecular, Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR) CONICET-UNR, Facultad de Ciencias Agrarias, Campo Experimental Villarino, Universidad Nacional de Rosario, Zavalla S2125ZAA, Santa Fe, Argentina; (L.A.S.); (C.A.A.); (M.P.); (J.S.); (S.C.P.)
- Correspondence: ; Tel.: +54-341-4970080/85 (ext. 1180)
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Lopez-Fernandez H, Duque P, Vazquez N, Fdez-Riverola F, Reboiro-Jato M, Vieira CP, Vieira J. SEDA: A Desktop Tool Suite for FASTA Files Processing. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2022; 19:1850-1860. [PMID: 33237866 DOI: 10.1109/tcbb.2020.3040383] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
SEDA (SEquence DAtaset builder) is a multiplatform desktop application for the manipulation of FASTA files containing DNA or protein sequences. The convenient graphical user interface gives access to a collection of simple (filtering, sorting, or file reformatting, among others) and advanced (BLAST searching, protein domain annotation, gene annotation, and sequence alignment) utilities not present in similar applications, which eases the work of life science researchers working with DNA and/or protein sequences, especially those who have no programming skills. This paper presents general guidelines on how to build efficient data handling protocols using SEDA, as well as practical examples on how to prepare high-quality datasets for single gene phylogenetic studies, the characterization of protein families, or phylogenomic studies. The user-friendliness of SEDA also relies on two important features: (i) the availability of easy-to-install distributable versions and installers of SEDA, including a Docker image for Linux, and (ii) the facility with which users can manage large datasets. SEDA is open-source, with GNU General Public License v3.0 license, and publicly available at GitHub (https://github.com/sing-group/seda). SEDA installers and documentation are available at https://www.sing-group.org/seda/.
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Etayo A, Bjørgen H, Koppang EO, Hordvik I. The teleost polymeric Ig receptor counterpart in ballan wrasse (Labrus bergylta) differs from pIgR in higher vertebrates. Vet Immunol Immunopathol 2022; 249:110440. [DOI: 10.1016/j.vetimm.2022.110440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 04/22/2022] [Accepted: 05/10/2022] [Indexed: 12/23/2022]
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Koch TL, Ramiro IBL, Flórez Salcedo P, Engholm E, Jensen KJ, Chase K, Olivera BM, Bjørn-Yoshimoto WE, Safavi-Hemami H. Reconstructing the Origins of the Somatostatin and Allatostatin-C Signaling Systems Using the Accelerated Evolution of Biodiverse Cone Snail Toxins. Mol Biol Evol 2022; 39:msac075. [PMID: 35383850 PMCID: PMC9048919 DOI: 10.1093/molbev/msac075] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Somatostatin and its related peptides (SSRPs) form an important family of hormones with diverse physiological roles. The ubiquitous presence of SSRPs in vertebrates and several invertebrate deuterostomes suggests an ancient origin of the SSRP signaling system. However, the existence of SSRP genes outside of deuterostomes has not been established, and the evolutionary history of this signaling system remains poorly understood. Our recent discovery of SSRP-like toxins (consomatins) in venomous marine cone snails (Conus) suggested the presence of a related signaling system in mollusks and potentially other protostomes. Here, we identify the molluscan SSRP-like signaling gene that gave rise to the consomatin family. Following recruitment into venom, consomatin genes experienced strong positive selection and repeated gene duplications resulting in the formation of a hyperdiverse family of venom peptides. Intriguingly, the largest number of consomatins was found in worm-hunting species (>400 sequences), indicating a homologous system in annelids, another large protostome phylum. Consistent with this, comprehensive sequence mining enabled the identification of SSRP-like sequences (and their corresponding orphan receptor) in annelids and several other protostome phyla. These results established the existence of SSRP-like peptides in many major branches of bilaterians and challenge the prevailing hypothesis that deuterostome SSRPs and protostome allatostatin-C are orthologous peptide families. Finally, having a large set of predator-prey SSRP sequences available, we show that although the cone snail's signaling SSRP-like genes are under purifying selection, the venom consomatin genes experience rapid directional selection to target receptors in a changing mix of prey.
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Affiliation(s)
- Thomas Lund Koch
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen-N 2200, Denmark
| | - Iris Bea L. Ramiro
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen-N 2200, Denmark
| | | | - Ebbe Engholm
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen-N 2200, Denmark
- Department of Chemistry, University of Copenhagen, Frederiksberg 1871, Denmark
| | - Knud Jørgen Jensen
- Department of Chemistry, University of Copenhagen, Frederiksberg 1871, Denmark
| | - Kevin Chase
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Baldomero M. Olivera
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | | | - Helena Safavi-Hemami
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen-N 2200, Denmark
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
- Department of Biochemistry, University of Utah, Salt Lake City, UT 84112, USA
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Borchel A, Komisarczuk AZ, Nilsen F. Sex differences in the early life stages of the salmon louse Lepeophtheirus salmonis (Copepoda: Caligidae). PLoS One 2022; 17:e0266022. [PMID: 35358250 PMCID: PMC8970357 DOI: 10.1371/journal.pone.0266022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 03/11/2022] [Indexed: 11/18/2022] Open
Abstract
Salmon lice are ectoparasites on salmonids and feed on blood, mucus, and skin from their hosts. This causes high annual costs for treatment and control for the aquaculture industry. Salmon lice have a life cycle consisting of eight life stages. Sex determination by eye is only possible from the sixth stage onwards. A molecular sex determination has not been carried out so far, even though few individual sex-linked SNPs have been reported. In the present study, we used known sex-specific SNPs as a basis to sequence the complete sex-specific gene variants and used the sequence information to develop a sex determination assay. This assay could be used to determine the developmental speed of the two sexes already in the earliest life stages. Additionally, we sampled salmon lice in the nauplius II stage, determined the sex of each individual, pooled their RNA according to their sex, and used RNA sequencing to search for differences in gene expression and further sex-specific SNPs. We succeeded in developing a sex-determination assay that works on DNA or RNA from even the earliest larval stages of the salmon louse after hatching. At these early developmental stages, male salmon lice develop slightly quicker than females. We detected several previously unknown, sex-specific SNPs in our RNA-data seq, but only very few genes showed a differential expression between the sexes. Potential connections between SNPs, gene expression, and development are discussed.
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Affiliation(s)
- Andreas Borchel
- Department of Biological Sciences, SLRC—Sea Lice Research Centre, University of Bergen, Bergen, Norway
- * E-mail:
| | - Anna Zofia Komisarczuk
- Department of Biological Sciences, SLRC—Sea Lice Research Centre, University of Bergen, Bergen, Norway
| | - Frank Nilsen
- Department of Biological Sciences, SLRC—Sea Lice Research Centre, University of Bergen, Bergen, Norway
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Mankiewicz JL, Picklo MJ, Idso J, Cleveland BM. Leptin Receptor Deficiency Results in Hyperphagia and Increased Fatty Acid Mobilization during Fasting in Rainbow Trout (Oncorhynchus mykiss). Biomolecules 2022; 12:biom12040516. [PMID: 35454105 PMCID: PMC9028016 DOI: 10.3390/biom12040516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/15/2022] [Accepted: 03/26/2022] [Indexed: 12/19/2022] Open
Abstract
Leptin is a pleiotropic hormone known for regulating appetite and metabolism. To characterize the role of leptin signaling in rainbow trout, we used CRISPR/Cas9 genome editing to disrupt the leptin receptor (LepR) genes, lepra1 and lepra2. We compared wildtype (WT) and mutant fish that were either fed to satiation or feed deprived for six weeks. The LepR mutants exhibited a hyperphagic phenotype, which led to heavier body weight, faster specific growth rate, increased viscero- and hepatosomatic indices, and greater condition factor. Muscle glycogen, plasma leptin, and leptin transcripts (lepa1) were also elevated in fed LepR mutant fish. Expression levels of several hypothalamic genes involved in feed regulation were analyzed (agrp, npy, orexin, cart-1, cart-2, pomc-a1, pomc-b). No differences were detected between fed WT and mutants except for pomc-b (proopiomelanocortin-b), where levels were 7.5-fold higher in LepR fed mutants, suggesting that pomc-b expression is regulated by leptin signaling. Fatty acid (FA) content did not statistically differ in muscle of fed mutant fish compared to WT. However, fasted mutants exhibited significantly lower muscle FA concentrations, suggesting that LepR mutants exhibit increased FA mobilization during fasting. These data demonstrate a key role for leptin signaling in lipid and energy mobilization in a teleost fish.
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Affiliation(s)
- Jamie L. Mankiewicz
- National Center for Cool and Cold Water Aquaculture, USDA/ARS, Kearneysville, WV 25430, USA;
| | - Matthew J. Picklo
- Human Nutrition Research Center, USDA/ARS, 2420 2nd Ave. North, Grand Forks, ND 58203, USA; (M.J.P.); (J.I.)
| | - Joseph Idso
- Human Nutrition Research Center, USDA/ARS, 2420 2nd Ave. North, Grand Forks, ND 58203, USA; (M.J.P.); (J.I.)
| | - Beth M. Cleveland
- National Center for Cool and Cold Water Aquaculture, USDA/ARS, Kearneysville, WV 25430, USA;
- Correspondence:
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