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Jones TEM, Yates B, Braschi B, Gray K, Tweedie S, Seal RL, Bruford EA. The VGNC: expanding standardized vertebrate gene nomenclature. Genome Biol 2023; 24:115. [PMID: 37173739 PMCID: PMC10176861 DOI: 10.1186/s13059-023-02957-2] [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: 08/10/2022] [Accepted: 04/28/2023] [Indexed: 05/15/2023] Open
Abstract
The Vertebrate Gene Nomenclature Committee (VGNC) was established in 2016 as a sister project to the HUGO Gene Nomenclature Committee, to approve gene nomenclature in vertebrate species without an existing dedicated nomenclature committee. The VGNC aims to harmonize gene nomenclature across selected vertebrate species in line with human gene nomenclature, with orthologs assigned the same nomenclature where possible. This article presents an overview of the VGNC project and discussion of key findings resulting from this work to date. VGNC-approved nomenclature is accessible at https://vertebrate.genenames.org and is additionally displayed by the NCBI, Ensembl, and UniProt databases.
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Affiliation(s)
- Tamsin E. M. Jones
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
| | - Bethan Yates
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Current address: Tree of Life, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, CB10 1SA Cambridgeshire UK
| | - Bryony Braschi
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
| | - Kristian Gray
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0AW Cambridgeshire UK
| | - Susan Tweedie
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
| | - Ruth L. Seal
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0AW Cambridgeshire UK
| | - Elspeth A. Bruford
- HUGO Gene Nomenclature Committee, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CB10 1SD Cambridgeshire UK
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0AW Cambridgeshire UK
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Rasband SA, Bolton PE, Fang Q, Johnson PLF, Braun MJ. Evolution of the Growth Hormone Gene Duplication in Passerine Birds. Genome Biol Evol 2023; 15:evad033. [PMID: 36848146 PMCID: PMC10016047 DOI: 10.1093/gbe/evad033] [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: 08/06/2022] [Revised: 12/11/2022] [Accepted: 01/09/2023] [Indexed: 03/01/2023] Open
Abstract
Birds of the order Passeriformes represent the most speciose order of land vertebrates. Despite strong scientific interest in this super-radiation, genetic traits unique to passerines are not well characterized. A duplicate copy of growth hormone (GH) is the only gene known to be present in all major lineages of passerines, but not in other birds. GH genes plausibly influence extreme life history traits that passerines exhibit, including the shortest embryo-to-fledging developmental period of any avian order. To unravel the implications of this GH duplication, we investigated the molecular evolution of the ancestral avian GH gene (GH or GH1) and the novel passerine GH paralog (GH2), using 497 gene sequences extracted from 342 genomes. Passerine GH1 and GH2 are reciprocally monophyletic, consistent with a single duplication event from a microchromosome onto a macrochromosome in a common ancestor of extant passerines. Additional chromosomal rearrangements have changed the syntenic and potential regulatory context of these genes. Both passerine GH1 and GH2 display substantially higher rates of nonsynonymous codon change than non-passerine avian GH, suggesting positive selection following duplication. A site involved in signal peptide cleavage is under selection in both paralogs. Other sites under positive selection differ between the two paralogs, but many are clustered in one region of a 3D model of the protein. Both paralogs retain key functional features and are actively but differentially expressed in two major passerine suborders. These phenomena suggest that GH genes may be evolving novel adaptive roles in passerine birds.
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Affiliation(s)
- Shauna A Rasband
- Behavior, Ecology, Evolution and Systematics Graduate Program, University of Maryland, College Park, Maryland
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC
| | - Peri E Bolton
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC
- Department of Biology, East Carolina University, Greenville, North Carolina
| | - Qi Fang
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, China
| | | | - Michael J Braun
- Behavior, Ecology, Evolution and Systematics Graduate Program, University of Maryland, College Park, Maryland
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC
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3
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McCarthy FM, Jones TEM, Kwitek AE, Smith CL, Vize PD, Westerfield M, Bruford EA. The case for standardizing gene nomenclature in vertebrates. Nature 2023; 614:E31-E32. [PMID: 36792746 PMCID: PMC9931569 DOI: 10.1038/s41586-022-05633-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 12/06/2022] [Indexed: 02/17/2023]
Affiliation(s)
- Fiona M McCarthy
- The Chicken Gene Nomenclature Committee (CGNC), School of Animal and Comparative Biomedical Sciences, University of Arizona, Tucson, AZ, USA
| | - Tamsin E M Jones
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK
| | - Anne E Kwitek
- Rat Genome Database, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Cynthia L Smith
- Mouse Genome Database, The Jackson Laboratory, Bar Harbor, ME, USA
| | - Peter D Vize
- Xenbase, Departments of Biological Sciences and Computer Science, University of Calgary, Calgary, Alberta, Canada
| | - Monte Westerfield
- ZFIN, Institute of Neuroscience, University of Oregon, Eugene, OR, USA
| | - Elspeth A Bruford
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, UK.
- Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, UK.
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4
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Smith J, Alfieri JM, Anthony N, Arensburger P, Athrey GN, Balacco J, Balic A, Bardou P, Barela P, Bigot Y, Blackmon H, Borodin PM, Carroll R, Casono MC, Charles M, Cheng H, Chiodi M, Cigan L, Coghill LM, Crooijmans R, Das N, Davey S, Davidian A, Degalez F, Dekkers JM, Derks M, Diack AB, Djikeng A, Drechsler Y, Dyomin A, Fedrigo O, Fiddaman SR, Formenti G, Frantz LA, Fulton JE, Gaginskaya E, Galkina S, Gallardo RA, Geibel J, Gheyas AA, Godinez CJP, Goodell A, Graves JA, Griffin DK, Haase B, Han JL, Hanotte O, Henderson LJ, Hou ZC, Howe K, Huynh L, Ilatsia E, Jarvis ED, Johnson SM, Kaufman J, Kelly T, Kemp S, Kern C, Keroack JH, Klopp C, Lagarrigue S, Lamont SJ, Lange M, Lanke A, Larkin DM, Larson G, Layos JKN, Lebrasseur O, Malinovskaya LP, Martin RJ, Martin Cerezo ML, Mason AS, McCarthy FM, McGrew MJ, Mountcastle J, Muhonja CK, Muir W, Muret K, Murphy TD, Ng'ang'a I, Nishibori M, O'Connor RE, Ogugo M, Okimoto R, Ouko O, Patel HR, Perini F, Pigozzi MI, Potter KC, Price PD, Reimer C, Rice ES, Rocos N, Rogers TF, Saelao P, Schauer J, Schnabel RD, Schneider VA, Simianer H, Smith A, et alSmith J, Alfieri JM, Anthony N, Arensburger P, Athrey GN, Balacco J, Balic A, Bardou P, Barela P, Bigot Y, Blackmon H, Borodin PM, Carroll R, Casono MC, Charles M, Cheng H, Chiodi M, Cigan L, Coghill LM, Crooijmans R, Das N, Davey S, Davidian A, Degalez F, Dekkers JM, Derks M, Diack AB, Djikeng A, Drechsler Y, Dyomin A, Fedrigo O, Fiddaman SR, Formenti G, Frantz LA, Fulton JE, Gaginskaya E, Galkina S, Gallardo RA, Geibel J, Gheyas AA, Godinez CJP, Goodell A, Graves JA, Griffin DK, Haase B, Han JL, Hanotte O, Henderson LJ, Hou ZC, Howe K, Huynh L, Ilatsia E, Jarvis ED, Johnson SM, Kaufman J, Kelly T, Kemp S, Kern C, Keroack JH, Klopp C, Lagarrigue S, Lamont SJ, Lange M, Lanke A, Larkin DM, Larson G, Layos JKN, Lebrasseur O, Malinovskaya LP, Martin RJ, Martin Cerezo ML, Mason AS, McCarthy FM, McGrew MJ, Mountcastle J, Muhonja CK, Muir W, Muret K, Murphy TD, Ng'ang'a I, Nishibori M, O'Connor RE, Ogugo M, Okimoto R, Ouko O, Patel HR, Perini F, Pigozzi MI, Potter KC, Price PD, Reimer C, Rice ES, Rocos N, Rogers TF, Saelao P, Schauer J, Schnabel RD, Schneider VA, Simianer H, Smith A, Stevens MP, Stiers K, Tiambo CK, Tixier-Boichard M, Torgasheva AA, Tracey A, Tregaskes CA, Vervelde L, Wang Y, Warren WC, Waters PD, Webb D, Weigend S, Wolc A, Wright AE, Wright D, Wu Z, Yamagata M, Yang C, Yin ZT, Young MC, Zhang G, Zhao B, Zhou H. Fourth Report on Chicken Genes and Chromosomes 2022. Cytogenet Genome Res 2023; 162:405-528. [PMID: 36716736 PMCID: PMC11835228 DOI: 10.1159/000529376] [Show More Authors] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 01/22/2023] [Indexed: 02/01/2023] Open
Affiliation(s)
- Jacqueline Smith
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - James M. Alfieri
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Biology, Texas A&M University, College Station, Texas, USA
- Department of Poultry Science, Texas A&M University, College Station, Texas, USA
| | | | - Peter Arensburger
- Biological Sciences Department, California State Polytechnic University, Pomona, California, USA
| | - Giridhar N. Athrey
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Poultry Science, Texas A&M University, College Station, Texas, USA
| | | | - Adam Balic
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Philippe Bardou
- Université de Toulouse, INRAE, ENVT, GenPhySE, Sigenae, Castanet Tolosan, France
| | | | - Yves Bigot
- PRC, UMR INRAE 0085, CNRS 7247, Centre INRAE Val de Loire, Nouzilly, France
| | - Heath Blackmon
- Interdisciplinary Program in Ecology and Evolutionary Biology, Texas A&M University, College Station, Texas, USA
- Department of Biology, Texas A&M University, College Station, Texas, USA
| | - Pavel M. Borodin
- Department of Molecular Genetics, Cell Biology and Bioinformatics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Rachel Carroll
- Department of Animal Sciences, Data Science and Informatics Institute, University of Missouri, Columbia, Missouri, USA
| | | | - Mathieu Charles
- University Paris-Saclay, INRAE, AgroParisTech, GABI, Sigenae, Jouy-en-Josas, France
| | - Hans Cheng
- USDA, ARS, USNPRC, Avian Disease and Oncology Laboratory, East Lansing, Michigan, USA
| | | | | | - Lyndon M. Coghill
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | - Richard Crooijmans
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | | | - Sean Davey
- University of Arizona, Tucson, Arizona, USA
| | - Asya Davidian
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Fabien Degalez
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Jack M. Dekkers
- Department of Animal Science, University of California, Davis, California, USA
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
| | - Martijn Derks
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
| | - Abigail B. Diack
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Appolinaire Djikeng
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA
| | | | - Alexander Dyomin
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | | | | | | | - Laurent A.F. Frantz
- Queen Mary University of London, Bethnal Green, London, UK
- Palaeogenomics Group, Department of Veterinary Sciences, LMU Munich, Munich, Germany
| | - Janet E. Fulton
- Hy-Line International, Research and Development, Dallas Center, Iowa, USA
| | - Elena Gaginskaya
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Svetlana Galkina
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Rodrigo A. Gallardo
- School of Veterinary Medicine, University of California, Davis, California, USA
- Department of Animal Science, University of California, Davis, California, USA
| | - Johannes Geibel
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Almas A. Gheyas
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Cyrill John P. Godinez
- Department of Animal Science, College of Agriculture and Food Science, Visayas State University, Baybay City, Philippines
| | | | - Jennifer A.M. Graves
- Department of Environment and Genetics, La Trobe University, Melbourne, Victoria, Australia
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | | | | | - Jian-Lin Han
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
- International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
| | - Olivier Hanotte
- International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
- Cells, Organisms and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, UK
- Centre for Tropical Livestock Genetics and Health, The Roslin Institute, Edinburgh, UK
| | - Lindsay J. Henderson
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Zhuo-Cheng Hou
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding and Reproduction, MARA, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | | | - Lan Huynh
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, UK
| | - Evans Ilatsia
- Dairy Research Institute, Kenya Agricultural and Livestock Organization, Naivasha, Kenya
| | | | | | - Jim Kaufman
- Institute for Immunology and Infection Research, University of Edinburgh, Edinburgh, UK
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Terra Kelly
- School of Veterinary Medicine, University of California, Davis, California, USA
- Department of Animal Science, University of California, Davis, California, USA
| | - Steve Kemp
- INRAE, INSTITUT AGRO, PEGASE UMR 1348, Saint-Gilles, France
| | - Colin Kern
- Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, California, USA
| | | | - Christophe Klopp
- Department of Animal Science, Iowa State University, Ames, Iowa, USA
| | - Sandrine Lagarrigue
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Susan J. Lamont
- Department of Animal Science, University of California, Davis, California, USA
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
| | - Margaret Lange
- Centre for Tropical Livestock Genetics and Health (CTLGH) − The Roslin Institute, Edinburgh, UK
| | - Anika Lanke
- College of Veterinary Medicine, Western University of Health Sciences, Pomona, California, USA
| | - Denis M. Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, UK
| | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, The University of Oxford, Oxford, UK
| | - John King N. Layos
- College of Agriculture and Forestry, Capiz State University, Mambusao, Philippines
| | - Ophélie Lebrasseur
- Centre d'Anthropobiologie et de Génomique de Toulouse (CAGT), CNRS UMR 5288, Université Toulouse III Paul Sabatier, Toulouse, France
- Instituto Nacional de Antropología y Pensamiento Latinoamericano, Ciudad Autónoma de Buenos Aires, Argentina
| | - Lyubov P. Malinovskaya
- Department of Cytology and Genetics, Novosibirsk State University, Novosibirsk, Russian Federation
| | - Rebecca J. Martin
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | | | | | | | - Michael J. McGrew
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
- Department of Molecular Microbiology and Immunology, University of Missouri, Columbia, Missouri, USA
| | | | - Christine Kamidi Muhonja
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - William Muir
- Department of Animal Sciences, Purdue University, West Lafayette, Indiana, USA
| | - Kévin Muret
- Université Paris-Saclay, Commissariat à l'Energie Atomique et aux Energies Alternatives, Centre National de Recherche en Génomique Humaine, Evry, France
| | - Terence D. Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Masahide Nishibori
- Laboratory of Animal Genetics, Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Japan
| | | | - Moses Ogugo
- Centre for Tropical Livestock Genetics and Health (CTLGH) − ILRI, Nairobi, Kenya
| | - Ron Okimoto
- Cobb-Vantress, Siloam Springs, Arkansas, USA
| | - Ochieng Ouko
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | - Hardip R. Patel
- The John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Francesco Perini
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia, Italy
| | - María Ines Pigozzi
- INBIOMED (CONICET-UBA), Facultad de Medicina, Universidad de Buenos Aires, Buenos Aires, Argentina
| | | | - Peter D. Price
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
| | - Christian Reimer
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
| | - Edward S. Rice
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
| | - Nicolas Rocos
- USDA, ARS, USNPRC, Avian Disease and Oncology Laboratory, East Lansing, Michigan, USA
| | - Thea F. Rogers
- Department of Molecular Evolution and Development, University of Vienna, Vienna, Austria
| | - Perot Saelao
- Department of Animal Science, University of California, Davis, California, USA
- Veterinary Pest Genetics Research Unit, USDA, Kerrville, Texas, USA
| | - Jens Schauer
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
| | - Robert D. Schnabel
- Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
| | - Valerie A. Schneider
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Henner Simianer
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Adrian Smith
- Department of Zoology, University of Oxford, Oxford, UK
| | - Mark P. Stevens
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Kyle Stiers
- Department of Veterinary Pathology, University of Missouri, Columbia, Missouri, USA
| | | | | | - Anna A. Torgasheva
- Department of Molecular Genetics, Cell Biology and Bioinformatics, Institute of Cytology and Genetics of Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russian Federation
| | - Alan Tracey
- University Paris-Saclay, INRAE, AgroParisTech, GABI, Sigenae, Jouy-en-Josas, France
| | - Clive A. Tregaskes
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, The Netherlands
- Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Lonneke Vervelde
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Ying Wang
- Department of Animal Science, University of California, Davis, California, USA
| | - Wesley C. Warren
- Department of Animal Sciences, Bond Life Sciences Center, University of Missouri, Columbia, Missouri, USA
- Department of Animal Sciences, University of Missouri, Columbia, Missouri, USA
| | - Paul D. Waters
- School of Biotechnology and Biomolecular Science, Faculty of Science, UNSW Sydney, Sydney, New South Wales, Australia
| | - David Webb
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
| | - Steffen Weigend
- Institute of Farm Animal Genetics, Friedrich-Loeffler-Institut, Neustadt, Germany
- Center for Integrated Breeding Research, University of Göttingen, Göttingen, Germany
| | - Anna Wolc
- INRAE, MIAT UR875, Sigenae, Castanet Tolosan, France
- Hy-Line International, Research and Development, Dallas Center, Iowa, USA
| | - Alison E. Wright
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Sheffield, UK
| | - Dominic Wright
- AVIAN Behavioural Genomics and Physiology, IFM Biology, Linköping University, Linköping, Sweden
| | - Zhou Wu
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Edinburgh, UK
| | - Masahito Yamagata
- Center for Brain Science, Department of Molecular and Cellular Biology, Harvard University, Cambridge, Massachusetts, USA
| | | | - Zhong-Tao Yin
- Department of Animal Sciences, Data Science and Informatics Institute, University of Missouri, Columbia, Missouri, USA
| | | | - Guojie Zhang
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Bingru Zhao
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, China
| | - Huaijun Zhou
- Department of Animal Science, University of California, Davis, California, USA
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5
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Bruford EA, Braschi B, Haim-Vilmovsky L, Jones TEM, Seal RL, Tweedie S. The importance of being the HGNC. Hum Genomics 2022; 16:58. [PMID: 36380364 PMCID: PMC9664783 DOI: 10.1186/s40246-022-00432-w] [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: 08/02/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022] Open
Abstract
The HUGO Gene Nomenclature Committee (HGNC) has been providing standardized symbols and names for human genes since the late 1970s. As funding agencies change their priorities, finding financial support for critical biomedical resources such as the HGNC becomes ever more challenging. In this article, we outline the key roles the HGNC currently plays in aiding communication and the need for these activities to be maintained.
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Affiliation(s)
- Elspeth A. Bruford
- grid.5335.00000000121885934Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0PT UK ,grid.52788.300000 0004 0427 7672HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD UK
| | - Bryony Braschi
- grid.52788.300000 0004 0427 7672HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD UK
| | - Liora Haim-Vilmovsky
- grid.52788.300000 0004 0427 7672HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD UK
| | - Tamsin E. M. Jones
- grid.52788.300000 0004 0427 7672HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD UK
| | - Ruth L. Seal
- grid.5335.00000000121885934Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0PT UK ,grid.52788.300000 0004 0427 7672HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD UK
| | - Susan Tweedie
- grid.52788.300000 0004 0427 7672HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD UK
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6
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Beatman TR, Buckley KM, Cary GA, Hinman VF, Ettensohn CA. A nomenclature for echinoderm genes. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2021; 2021:6350312. [PMID: 34386815 PMCID: PMC8361234 DOI: 10.1093/database/baab052] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 07/02/2021] [Accepted: 08/02/2021] [Indexed: 12/16/2022]
Abstract
Echinoderm embryos and larvae are prominent experimental model systems for studying developmental mechanisms. High-quality, assembled, annotated genome sequences are now available for several echinoderm species, including representatives from most classes. The increased availability of these data necessitates the development of a nomenclature that assigns universally interpretable gene symbols to echinoderm genes to facilitate cross-species comparisons of gene functions, both within echinoderms and across other phyla. This paper describes the implementation of an improved set of echinoderm gene nomenclature guidelines that both communicates meaningful orthology information in protein-coding gene symbols and names and establishes continuity with nomenclatures developed for major vertebrate model organisms, including humans. Differences between the echinoderm gene nomenclature guidelines and vertebrate guidelines are examined and explained. This nomenclature incorporates novel solutions to allow for several types of orthologous relationships, including the single echinoderm genes with multiple vertebrate co-orthologs that result from whole-genome-duplication events. The current version of the Echinoderm Gene Nomenclature Guidelines can be found at https://www.echinobase.org/gene/static/geneNomenclature.jsp Database URL https://www.echinobase.org/
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Affiliation(s)
- Thomas R Beatman
- Department of Biological Sciences, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.,Echinobase, #646 Mellon Institute, 4400 Fifth Ave, Pittsburgh, PA 15213, USA
| | - Katherine M Buckley
- Department of Biological Sciences, Auburn University, 101 Rouse Life Sciences, Auburn, AL 36849, USA
| | - Gregory A Cary
- The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - Veronica F Hinman
- Department of Biological Sciences, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.,Echinobase, #646 Mellon Institute, 4400 Fifth Ave, Pittsburgh, PA 15213, USA
| | - Charles A Ettensohn
- Department of Biological Sciences, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA.,Echinobase, #646 Mellon Institute, 4400 Fifth Ave, Pittsburgh, PA 15213, USA
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7
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Yates B, Gray KA, Jones TEM, Bruford EA. Updates to HCOP: the HGNC comparison of orthology predictions tool. Brief Bioinform 2021; 22:6265175. [PMID: 33959747 PMCID: PMC8574622 DOI: 10.1093/bib/bbab155] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/19/2021] [Accepted: 04/02/2021] [Indexed: 11/15/2022] Open
Abstract
Multiple resources currently exist that predict orthologous relationships between genes. These resources differ both in the methodologies used and in the species they make predictions for. The HGNC Comparison of Orthology Predictions (HCOP) search tool integrates and displays data from multiple ortholog prediction resources for a specified human gene or set of genes. An indication of the reliability of a prediction is provided by the number of resources that support it. HCOP was originally designed to show orthology predictions between human and mouse but has been expanded to include data from a current total of 20 selected vertebrate and model organism species. The HCOP pipeline used to fetch and integrate the information from the disparate ortholog and nomenclature data resources has recently been rewritten, both to enable the inclusion of new data and to take advantage of modern web technologies. Data from HCOP are used extensively in our work naming genes as the Vertebrate Gene Nomenclature Committee (https://vertebrate.genenames.org).
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Affiliation(s)
- Bethan Yates
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Kristian A Gray
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Tamsin E M Jones
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Elspeth A Bruford
- HUGO Gene Nomenclature Committee (HGNC), European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.,Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge CB2 0AW, UK
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8
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Nowoshilow S, Fei JF, Voss SR, Tanaka EM, Murawala P. Gene and transgenics nomenclature for the laboratory axolotl-Ambystoma mexicanum. Dev Dyn 2021; 251:913-921. [PMID: 33896069 DOI: 10.1002/dvdy.351] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 04/19/2021] [Accepted: 04/19/2021] [Indexed: 01/10/2023] Open
Abstract
The laboratory axolotl (Ambystoma mexicanum) is widely used in biological research. Recent advancements in genetic and molecular toolkits are greatly accelerating the work using axolotl, especially in the area of tissue regeneration. At this juncture, there is a critical need to establish gene and transgenic nomenclature to ensure uniformity in axolotl research. Here, we propose guidelines for genetic nomenclature when working with the axolotl.
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Affiliation(s)
- Sergej Nowoshilow
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Ji-Feng Fei
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - S Randal Voss
- Department of Neuroscience, University of Kentucky, Lexington, Kentucky, USA.,Ambystoma Genetic Stock Center, University of Kentucky, Lexington, Kentucky, USA.,Spinal Cord and Brain Injury Research Center, University of Kentucky, Lexington, Kentucky, USA
| | - Elly M Tanaka
- Research Institute of Molecular Pathology (IMP), Vienna Biocenter (VBC), Vienna, Austria
| | - Prayag Murawala
- Mount Desert Island Biological laboratory (MDIBL), Salisbury Cove, USA.,Clinic for Kidney and Hypertension Diseases, Hannover Medical School, Hannover, Germany
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9
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10
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Malatesta M, Mori G, Acquotti D, Campanini B, Peracchi A, Antin PB, Percudani R. Birth of a pathway for sulfur metabolism in early amniote evolution. Nat Ecol Evol 2020; 4:1239-1246. [PMID: 32601391 PMCID: PMC8364350 DOI: 10.1038/s41559-020-1232-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 05/22/2020] [Indexed: 11/09/2022]
Abstract
Among amniotes, reptiles and mammals are differently adapted to terrestrial life. It is generally appreciated that terrestrialization required adaptive changes of vertebrate metabolism, particularly in the mode of nitrogen excretion. However, the current paradigm is that metabolic adaptation to life on land did not involve synthesis of enzymatic pathways de novo, but rather repurposing of existing ones. Here, by comparing the inventory of pyridoxal 5'-phosphate-dependent enzymes in different amniotes, we identify in silico a pathway for sulfur metabolism present in chick embryos but not in mammals. Cysteine lyase contains haem and pyridoxal 5'-phosphate co-factors and converts cysteine and sulfite into cysteic acid and hydrogen sulfide, respectively. A specific cysteic acid decarboxylase produces taurine, while hydrogen sulfide is recycled into cysteine by cystathionine beta-synthase. This reaction sequence enables the formation of sulfonated amino acids during embryo development in the egg at no cost of reduced sulfur. The pathway originated around 300 million years ago in a proto-reptile by cystathionine beta-synthase duplication, cysteine lyase neofunctionalization and cysteic acid decarboxylase co-option. Our findings indicate that adaptation to terrestrial life involved innovations in metabolic pathways, and reveal the molecular mechanisms by which such innovations arose in amniote evolution.
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Affiliation(s)
- Marco Malatesta
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Giulia Mori
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Domenico Acquotti
- Centro Interdipartimentale Misure 'Giuseppe Casnati', University of Parma, Parma, Italy
| | | | - Alessio Peracchi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy
| | - Parker B Antin
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ, USA
| | - Riccardo Percudani
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.
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11
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Braschi B, Denny P, Gray K, Jones T, Seal R, Tweedie S, Yates B, Bruford E. Genenames.org: the HGNC and VGNC resources in 2019. Nucleic Acids Res 2020; 47:D786-D792. [PMID: 30304474 PMCID: PMC6324057 DOI: 10.1093/nar/gky930] [Citation(s) in RCA: 228] [Impact Index Per Article: 45.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 10/04/2018] [Indexed: 12/26/2022] Open
Abstract
The HUGO Gene Nomenclature Committee (HGNC) based at EMBL's European Bioinformatics Institute (EMBL-EBI) assigns unique symbols and names to human genes. There are over 40 000 approved gene symbols in our current database of which over 19 000 are for protein-coding genes. The Vertebrate Gene Nomenclature Committee (VGNC) was established in 2016 to assign standardized nomenclature in line with human for vertebrate species that lack their own nomenclature committees. The VGNC initially assigned nomenclature for over 15000 protein-coding genes in chimpanzee. We have extended this process to other vertebrate species, naming over 14000 protein-coding genes in cow and dog and over 13 000 in horse to date. Our HGNC website https://www.genenames.org has undergone a major design update, simplifying the homepage to provide easy access to our search tools and making the site more mobile friendly. Our gene families pages are now known as 'gene groups' and have increased in number to over 1200, with nearly half of all named genes currently assigned to at least one gene group. This article provides an overview of our online data and resources, focusing on our work over the last two years.
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Affiliation(s)
- Bryony Braschi
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Paul Denny
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Kristian Gray
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Tamsin Jones
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Ruth Seal
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Susan Tweedie
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Bethan Yates
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
| | - Elspeth Bruford
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK
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12
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Olender T, Jones TEM, Bruford E, Lancet D. A unified nomenclature for vertebrate olfactory receptors. BMC Evol Biol 2020; 20:42. [PMID: 32295537 PMCID: PMC7160942 DOI: 10.1186/s12862-020-01607-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 03/27/2020] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Olfactory receptors (ORs) are G protein-coupled receptors with a crucial role in odor detection. A typical mammalian genome harbors ~ 1000 OR genes and pseudogenes; however, different gene duplication/deletion events have occurred in each species, resulting in complex orthology relationships. While the human OR nomenclature is widely accepted and based on phylogenetic classification into 18 families and further into subfamilies, for other mammals different and multiple nomenclature systems are currently in use, thus concealing important evolutionary and functional insights. RESULTS Here, we describe the Mutual Maximum Similarity (MMS) algorithm, a systematic classifier for assigning a human-centric nomenclature to any OR gene based on inter-species hierarchical pairwise similarities. MMS was applied to the OR repertoires of seven mammals and zebrafish. Altogether, we assigned symbols to 10,249 ORs. This nomenclature is supported by both phylogenetic and synteny analyses. The availability of a unified nomenclature provides a framework for diverse studies, where textual symbol comparison allows immediate identification of potential ortholog groups as well as species-specific expansions/deletions; for example, Or52e5 and Or52e5b represent a rat-specific duplication of OR52E5. Another example is the complete absence of OR subfamily OR6Z among primate OR symbols. In other mammals, OR6Z members are located in one genomic cluster, suggesting a large deletion in the great ape lineage. An additional 14 mammalian OR subfamilies are missing from the primate genomes. While in chimpanzee 87% of the symbols were identical to human symbols, this number decreased to ~ 50% in dog and cow and to ~ 30% in rodents, reflecting the adaptive changes of the OR gene superfamily across diverse ecological niches. Application of the proposed nomenclature to zebrafish revealed similarity to mammalian ORs that could not be detected from the current zebrafish olfactory receptor gene nomenclature. CONCLUSIONS We have consolidated a unified standard nomenclature system for the vertebrate OR superfamily. The new nomenclature system will be applied to cow, horse, dog and chimpanzee by the Vertebrate Gene Nomenclature Committee and its implementation is currently under consideration by other relevant species-specific nomenclature committees.
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Affiliation(s)
- Tsviya Olender
- Department of Molecular Genetics, Weizmann Institute of Science, 76100, Rehovot, Israel.
| | - Tamsin E M Jones
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK
| | - Elspeth Bruford
- HUGO Gene Nomenclature Committee, European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK.,Department of Haematology, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, CB2 0AW, UK
| | - Doron Lancet
- Department of Molecular Genetics, Weizmann Institute of Science, 76100, Rehovot, Israel
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13
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Diniz GB, Bittencourt JC. The Melanin-Concentrating Hormone (MCH) System: A Tale of Two Peptides. Front Neurosci 2019; 13:1280. [PMID: 31849590 PMCID: PMC6901935 DOI: 10.3389/fnins.2019.01280] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 11/11/2019] [Indexed: 12/19/2022] Open
Abstract
The melanin-concentrating hormone (MCH) system is a robust integrator of exogenous and endogenous information, modulating arousal and energy balance in mammals. Its predominant function in teleosts, however, is to concentrate melanin in the scales, contributing to the adaptive color change observed in several teleost species. These contrasting functions resulted from a gene duplication that occurred after the teleost divergence, which resulted in the generation of two MCH-coding genes in this clade, which acquired distinctive sequences, distribution, and functions, examined in detail here. We also describe the distribution of MCH immunoreactivity and gene expression in a large number of species, in an attempt to identify its core elements. While initially originated as a periventricular peptide, with an intimate relationship with the third ventricle, multiple events of lateral migration occurred during evolution, making the ventrolateral and dorsolateral hypothalamus the predominant sites of MCH in teleosts and mammals, respectively. Substantial differences between species can be identified, likely reflecting differences in habitat and behavior. This observation aligns well with the idea that MCH is a major integrator of internal and external information, ensuring an appropriate response to ensure the organism’s homeostasis. New studies on the MCH system in species that have not yet been investigated will help us understand more precisely how these habitat changes are connected to the hypothalamic neurochemical circuits, paving the way to new intervention strategies that may be used with pharmacological purposes.
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Affiliation(s)
- Giovanne B Diniz
- Departamento de Anatomia, Instituto de Ciências Biomedicas, Universidade de São Paulo, São Paulo, Brazil.,Department of Neurosurgery, Yale School of Medicine, New Haven, CT, United States
| | - Jackson C Bittencourt
- Departamento de Anatomia, Instituto de Ciências Biomedicas, Universidade de São Paulo, São Paulo, Brazil.,Nucleo de Neurociencias e Comportamento, Instituto de Psicologia, Universidade de São Paulo, São Paulo, Brazil
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14
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Yang G, Lu H, Wang L, Zhao J, Zeng W, Zhang T. Genome-Wide Identification and Transcriptional Expression of the METTL21C Gene Family in Chicken. Genes (Basel) 2019; 10:genes10080628. [PMID: 31434291 PMCID: PMC6723737 DOI: 10.3390/genes10080628] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 08/06/2019] [Accepted: 08/15/2019] [Indexed: 12/31/2022] Open
Abstract
The chicken is a common type of poultry that is economically important both for its medicinal and nutritional values. Previous studies have found that free-range chickens have more skeletal muscle mass. The methyltransferase-like 21C gene (METTL21C) plays an important role in muscle development; however, there have been few reports on the role of METTL21C in chickens. In this study, we performed a genome-wide identification of chicken METTL21C genes and analyzed their phylogeny, transcriptional expression profile, and real-time quantitative polymerase chain reaction (qPCR). We identified 10 GgMETTL21C genes from chickens, 11 from mice, and 32 from humans, and these genes were divided into six groups, which showed a large amount of variation among these three species. A total of 15 motifs were detected in METTL21C genes, and the intron phase of the gene structure showed that the METTL21C gene family was conservative in evolution. Further, both the transcript data and qPCR showed that a single gene’s (GgMETTL21C3) expression level increased with the muscle development of chickens, indicating that the METTL21C genes are involved in the development of chicken muscles. Our results provide some reference value for the subsequent study of the function of METTL21C.
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Affiliation(s)
- Ge Yang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China
| | - Hongzhao Lu
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China
| | - Ling Wang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China
| | - Jiarong Zhao
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China
| | - Wenxian Zeng
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China
| | - Tao Zhang
- School of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong, Shaanxi 723001, China.
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15
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Rajput B, Pruitt KD, Murphy TD. RefSeq curation and annotation of stop codon recoding in vertebrates. Nucleic Acids Res 2019; 47:594-606. [PMID: 30535227 PMCID: PMC6344875 DOI: 10.1093/nar/gky1234] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Accepted: 12/03/2018] [Indexed: 12/23/2022] Open
Abstract
Recoding of stop codons as amino acid-specifying codons is a co-translational event that enables C-terminal extension of a protein. Synthesis of selenoproteins requires recoding of internal UGA stop codons to the 21st non-standard amino acid selenocysteine (Sec) and plays a vital role in human health and disease. Separately, canonical stop codons can be recoded to specify standard amino acids in a process known as stop codon readthrough (SCR), producing extended protein isoforms with potential novel functions. Conventional computational tools cannot distinguish between the dual functionality of stop codons as stop signals and sense codons, resulting in misannotation of selenoprotein gene products and failure to predict SCR. Manual curation is therefore required to correctly represent recoded gene products and their functions. Our goal was to provide accurately curated and annotated datasets of selenoprotein and SCR transcript and protein records to serve as annotation standards and to promote basic and biomedical research. Gene annotations were curated in nine vertebrate model organisms and integrated into NCBI's Reference Sequence (RefSeq) dataset, resulting in 247 selenoprotein genes encoding 322 selenoproteins, and 93 genes exhibiting SCR encoding 94 SCR isoforms.
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Affiliation(s)
- Bhanu Rajput
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA
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16
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Knowlton MN, Smith CL. Naming CRISPR alleles: endonuclease-mediated mutation nomenclature across species. Mamm Genome 2017; 28:367-376. [PMID: 28589392 PMCID: PMC5569137 DOI: 10.1007/s00335-017-9698-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 05/27/2017] [Indexed: 12/29/2022]
Abstract
The widespread use of CRISPR/Cas and other targeted endonuclease technologies in many species has led to an explosion in the generation of new mutations and alleles. The ability to generate many different mutations from the same target sequence either by homology-directed repair with a donor sequence or non-homologous end joining-induced insertions and deletions necessitates a means for representing these mutations in literature and databases. Standardized nomenclature can be used to generate unambiguous, concise, and specific symbols to represent mutations and alleles. The research communities of a variety of species using CRISPR/Cas and other endonuclease-mediated mutation technologies have developed different approaches to naming and identifying such alleles and mutations. While some organism-specific research communities have developed allele nomenclature that incorporates the method of generation within the official allele or mutant symbol, others use metadata tags that include method of generation or mutagen. Organism-specific research community databases together with organism-specific nomenclature committees are leading the way in providing standardized nomenclature and metadata to facilitate the integration of data from alleles and mutations generated using CRISPR/Cas and other targeted endonucleases.
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Affiliation(s)
| | - Cynthia L Smith
- Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor, 04609, USA
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17
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Schmid M, Smith J, Burt DW, Aken BL, Antin PB, Archibald AL, Ashwell C, Blackshear PJ, Boschiero C, Brown CT, Burgess SC, Cheng HH, Chow W, Coble DJ, Cooksey A, Crooijmans RPMA, Damas J, Davis RVN, de Koning DJ, Delany ME, Derrien T, Desta TT, Dunn IC, Dunn M, Ellegren H, Eöry L, Erb I, Farré M, Fasold M, Fleming D, Flicek P, Fowler KE, Frésard L, Froman DP, Garceau V, Gardner PP, Gheyas AA, Griffin DK, Groenen MAM, Haaf T, Hanotte O, Hart A, Häsler J, Hedges SB, Hertel J, Howe K, Hubbard A, Hume DA, Kaiser P, Kedra D, Kemp SJ, Klopp C, Kniel KE, Kuo R, Lagarrigue S, Lamont SJ, Larkin DM, Lawal RA, Markland SM, McCarthy F, McCormack HA, McPherson MC, Motegi A, Muljo SA, Münsterberg A, Nag R, Nanda I, Neuberger M, Nitsche A, Notredame C, Noyes H, O'Connor R, O'Hare EA, Oler AJ, Ommeh SC, Pais H, Persia M, Pitel F, Preeyanon L, Prieto Barja P, Pritchett EM, Rhoads DD, Robinson CM, Romanov MN, Rothschild M, Roux PF, Schmidt CJ, Schneider AS, Schwartz MG, Searle SM, Skinner MA, Smith CA, Stadler PF, Steeves TE, Steinlein C, Sun L, Takata M, Ulitsky I, Wang Q, Wang Y, et alSchmid M, Smith J, Burt DW, Aken BL, Antin PB, Archibald AL, Ashwell C, Blackshear PJ, Boschiero C, Brown CT, Burgess SC, Cheng HH, Chow W, Coble DJ, Cooksey A, Crooijmans RPMA, Damas J, Davis RVN, de Koning DJ, Delany ME, Derrien T, Desta TT, Dunn IC, Dunn M, Ellegren H, Eöry L, Erb I, Farré M, Fasold M, Fleming D, Flicek P, Fowler KE, Frésard L, Froman DP, Garceau V, Gardner PP, Gheyas AA, Griffin DK, Groenen MAM, Haaf T, Hanotte O, Hart A, Häsler J, Hedges SB, Hertel J, Howe K, Hubbard A, Hume DA, Kaiser P, Kedra D, Kemp SJ, Klopp C, Kniel KE, Kuo R, Lagarrigue S, Lamont SJ, Larkin DM, Lawal RA, Markland SM, McCarthy F, McCormack HA, McPherson MC, Motegi A, Muljo SA, Münsterberg A, Nag R, Nanda I, Neuberger M, Nitsche A, Notredame C, Noyes H, O'Connor R, O'Hare EA, Oler AJ, Ommeh SC, Pais H, Persia M, Pitel F, Preeyanon L, Prieto Barja P, Pritchett EM, Rhoads DD, Robinson CM, Romanov MN, Rothschild M, Roux PF, Schmidt CJ, Schneider AS, Schwartz MG, Searle SM, Skinner MA, Smith CA, Stadler PF, Steeves TE, Steinlein C, Sun L, Takata M, Ulitsky I, Wang Q, Wang Y, Warren WC, Wood JMD, Wragg D, Zhou H. Third Report on Chicken Genes and Chromosomes 2015. Cytogenet Genome Res 2015; 145:78-179. [PMID: 26282327 PMCID: PMC5120589 DOI: 10.1159/000430927] [Show More Authors] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Michael Schmid
- Department of Human Genetics, University of Würzburg, Würzburg, Germany
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Rajput B, Murphy TD, Pruitt KD. RefSeq curation and annotation of antizyme and antizyme inhibitor genes in vertebrates. Nucleic Acids Res 2015; 43:7270-9. [PMID: 26170238 PMCID: PMC4551939 DOI: 10.1093/nar/gkv713] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 07/01/2015] [Indexed: 12/29/2022] Open
Abstract
Polyamines are ubiquitous cations that are involved in regulating fundamental cellular processes such as cell growth and proliferation; hence, their intracellular concentration is tightly regulated. Antizyme and antizyme inhibitor have a central role in maintaining cellular polyamine levels. Antizyme is unique in that it is expressed via a novel programmed ribosomal frameshifting mechanism. Conventional computational tools are unable to predict a programmed frameshift, resulting in misannotation of antizyme transcripts and proteins on transcript and genomic sequences. Correct annotation of a programmed frameshifting event requires manual evaluation. Our goal was to provide an accurately curated and annotated Reference Sequence (RefSeq) data set of antizyme transcript and protein records across a broad taxonomic scope that would serve as standards for accurate representation of these gene products. As antizyme and antizyme inhibitor proteins are functionally connected, we also curated antizyme inhibitor genes to more fully represent the elegant biology of polyamine regulation. Manual review of genes for three members of the antizyme family and two members of the antizyme inhibitor family in 91 vertebrate organisms resulted in a total of 461 curated RefSeq records.
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Affiliation(s)
- Bhanu Rajput
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Terence D Murphy
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Kim D Pruitt
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA
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19
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Brionne A, Nys Y, Hennequet-Antier C, Gautron J. Hen uterine gene expression profiling during eggshell formation reveals putative proteins involved in the supply of minerals or in the shell mineralization process. BMC Genomics 2014; 15:220. [PMID: 24649854 PMCID: PMC3999959 DOI: 10.1186/1471-2164-15-220] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Accepted: 03/11/2014] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The chicken eggshell is a natural mechanical barrier to protect egg components from physical damage and microbial penetration. Its integrity and strength is critical for the development of the embryo or to ensure for consumers a table egg free of pathogens. This study compared global gene expression in laying hen uterus in the presence or absence of shell calcification in order to characterize gene products involved in the supply of minerals and / or the shell biomineralization process. RESULTS Microarrays were used to identify a repertoire of 302 over-expressed genes during shell calcification. GO terms enrichment was performed to provide a global interpretation of the functions of the over-expressed genes, and revealed that the most over-represented proteins are related to reproductive functions. Our analysis identified 16 gene products encoding proteins involved in mineral supply, and allowed updating of the general model describing uterine ion transporters during eggshell calcification. A list of 57 proteins potentially secreted into the uterine fluid to be active in the mineralization process was also established. They were classified according to their potential functions (biomineralization, proteoglycans, molecular chaperone, antimicrobials and proteases/antiproteases). CONCLUSIONS Our study provides detailed descriptions of genes and corresponding proteins over-expressed when the shell is mineralizing. Some of these proteins involved in the supply of minerals and influencing the shell fabric to protect the egg contents are potentially useful biological markers for the genetic improvement of eggshell quality.
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Affiliation(s)
| | | | | | - Joël Gautron
- INRA, UR83 Recherches Avicoles, F-37380 Nouzilly, France.
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20
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Cooley JR, Yatskievych TA, Antin PB. Embryonic expression of the transforming growth factor beta ligand and receptor genes in chicken. Dev Dyn 2013; 243:497-508. [PMID: 24166734 DOI: 10.1002/dvdy.24085] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2013] [Revised: 10/19/2013] [Accepted: 10/19/2013] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Transforming growth factor-beta (TGFβ) signaling regulates a myriad of biological processes during embryogenesis, in the adult, and during the manifestation of disease. TGFβ signaling is propagated through one of three TGFβ ligands interacting with Type I and Type II receptors, and Type III co-receptors. Although TGFβ signaling is regulated partly by the combinatorial expression patterns of TGFβ receptors and ligands, a comprehensive gene expression analysis has not been published. RESULTS Here we report the embryonic mRNA expression patterns in chicken embryos of the canonical TGFβ ligands (TGFB1, TGFB2, and TGFB3) and receptors (TGFBR1, TGFBR2, TGFBR3), plus the Activin A receptor, type 1 (ACVR1) and co receptor Endoglin (ENG) that also transduce TGFβ signaling. CONCLUSIONS TGFB ligands and receptors show dynamic and frequently overlapping expression patterns in numerous embryonic cell layers and structures. Integrating expression information identifies combinations of ligands and receptors that are involved in specific developmental processes including somitogenesis, cardiogenesis and vasculogenesis.
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Affiliation(s)
- James R Cooley
- Molecular Cardiovascular Research Program, Department of Cellular and Molecular Medicine, University of Arizona, Tucson, Arizona
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21
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Antin PB, Yatskievych TA, Davey S, Darnell DK. GEISHA: an evolving gene expression resource for the chicken embryo. Nucleic Acids Res 2013; 42:D933-7. [PMID: 24150938 PMCID: PMC3964962 DOI: 10.1093/nar/gkt962] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
GEISHA (Gallus Expression In Situ Hybridization Analysis; http://geisha.arizona.edu) is an in situ hybridization gene expression and genomic resource for the chicken embryo. This update describes modifications that enhance its utility to users. During the past 5 years, GEISHA has undertaken a significant restructuring to more closely conform to the data organization and formatting of Model Organism Databases in other species. This has involved migrating from an entry-centric format to one that is gene-centered. Database restructuring has enabled the inclusion of data pertaining to chicken genes and proteins and their orthologs in other species. This new information is presented through an updated user interface. In situ hybridization data in mouse, frog, zebrafish and fruitfly are integrated with chicken genomic and expression information. A resource has also been developed that integrates the GEISHA interface information with the Online Mendelian Inheritance in Man human disease gene database. Finally, the Chicken Gene Nomenclature Committee database and the GEISHA database have been integrated so that they draw from the same data resources.
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Affiliation(s)
- Parker B Antin
- Molecular Cardiovascular Research Program, Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ 85724, USA
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22
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McCarthy FM, Lyons E. From data to function: functional modeling of poultry genomics data. Poult Sci 2013; 92:2519-29. [PMID: 23960137 DOI: 10.3382/ps.2012-02808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
One of the challenges of functional genomics is to create a better understanding of the biological system being studied so that the data produced are leveraged to provide gains for agriculture, human health, and the environment. Functional modeling enables researchers to make sense of these data as it reframes a long list of genes or gene products (mRNA, ncRNA, and proteins) by grouping based upon function, be it individual molecular functions or interactions between these molecules or broader biological processes, including metabolic and signaling pathways. However, poultry researchers have been hampered by a lack of functional annotation data, tools, and training to use these data and tools. Moreover, this lack is becoming more critical as new sequencing technologies enable us to generate data not only for an increasingly diverse range of species but also individual genomes and populations of individuals. We discuss the impact of these new sequencing technologies on poultry research, with a specific focus on what functional modeling resources are available for poultry researchers. We also describe key strategies for researchers who wish to functionally model their own data, providing background information about functional modeling approaches, the data and tools to support these approaches, and the strengths and limitations of each. Specifically, we describe methods for functional analysis using Gene Ontology (GO) functional summaries, functional enrichment analysis, and pathways and network modeling. As annotation efforts begin to provide the fundamental data that underpin poultry functional modeling (such as improved gene identification, standardized gene nomenclature, temporal and spatial expression data and gene product function), tool developers are incorporating these data into new and existing tools that are used for functional modeling, and cyberinfrastructure is being developed to provide the necessary extendibility and scalability for storing and analyzing these data. This process will support the efforts of poultry researchers to make sense of their functional genomics data sets, and we provide here a starting point for researchers who wish to take advantage of these tools.
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Affiliation(s)
- F M McCarthy
- Department of Veterinary Science and Microbiology, University of Arizona, Tucson, AZ 85721, USA.
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23
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Peters JL, Roberts TE, Winker K, McCracken KG. Heterogeneity in genetic diversity among non-coding loci fails to fit neutral coalescent models of population history. PLoS One 2012; 7:e31972. [PMID: 22384117 PMCID: PMC3285185 DOI: 10.1371/journal.pone.0031972] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2011] [Accepted: 01/17/2012] [Indexed: 12/26/2022] Open
Abstract
Inferring aspects of the population histories of species using coalescent analyses of non-coding nuclear DNA has grown in popularity. These inferences, such as divergence, gene flow, and changes in population size, assume that genetic data reflect simple population histories and neutral evolutionary processes. However, violating model assumptions can result in a poor fit between empirical data and the models. We sampled 22 nuclear intron sequences from at least 19 different chromosomes (a genomic transect) to test for deviations from selective neutrality in the gadwall (Anas strepera), a Holarctic duck. Nucleotide diversity among these loci varied by nearly two orders of magnitude (from 0.0004 to 0.029), and this heterogeneity could not be explained by differences in substitution rates alone. Using two different coalescent methods to infer models of population history and then simulating neutral genetic diversity under these models, we found that the observed among-locus heterogeneity in nucleotide diversity was significantly higher than expected for these simple models. Defining more complex models of population history demonstrated that a pre-divergence bottleneck was also unlikely to explain this heterogeneity. However, both selection and interspecific hybridization could account for the heterogeneity observed among loci. Regardless of the cause of the deviation, our results illustrate that violating key assumptions of coalescent models can mislead inferences of population history.
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Affiliation(s)
- Jeffrey L Peters
- Department of Biological Sciences, Wright State University, Dayton, Ohio, United States of America.
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24
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Kusumi K, Kulathinal RJ, Abzhanov A, Boissinot S, Crawford NG, Faircloth BC, Glenn TC, Janes DE, Losos JB, Menke DB, Poe S, Sanger TJ, Schneider CJ, Stapley J, Wade J, Wilson-Rawls J. Developing a community-based genetic nomenclature for anole lizards. BMC Genomics 2011; 12:554. [PMID: 22077994 PMCID: PMC3248570 DOI: 10.1186/1471-2164-12-554] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2011] [Accepted: 11/11/2011] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Comparative studies of amniotes have been hindered by a dearth of reptilian molecular sequences. With the genomic assembly of the green anole, Anolis carolinensis available, non-avian reptilian genes can now be compared to mammalian, avian, and amphibian homologs. Furthermore, with more than 350 extant species in the genus Anolis, anoles are an unparalleled example of tetrapod genetic diversity and divergence. As an important ecological, genetic and now genomic reference, it is imperative to develop a standardized Anolis gene nomenclature alongside associated vocabularies and other useful metrics. RESULTS Here we report the formation of the Anolis Gene Nomenclature Committee (AGNC) and propose a standardized evolutionary characterization code that will help researchers to define gene orthology and paralogy with tetrapod homologs, provide a system for naming novel genes in Anolis and other reptiles, furnish abbreviations to facilitate comparative studies among the Anolis species and related iguanid squamates, and classify the geographical origins of Anolis subpopulations. CONCLUSIONS This report has been generated in close consultation with members of the Anolis and genomic research communities, and using public database resources including NCBI and Ensembl. Updates will continue to be regularly posted to new research community websites such as lizardbase. We anticipate that this standardized gene nomenclature will facilitate the accessibility of reptilian sequences for comparative studies among tetrapods and will further serve as a template for other communities in their sequencing and annotation initiatives.
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Affiliation(s)
- Kenro Kusumi
- School of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ 85287-4501, USA
| | - Rob J Kulathinal
- Department of Biology, Temple University, 1900 N. 12th Street, Philadelphia, PA 19122, USA
| | - Arhat Abzhanov
- Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Ave., Cambridge, MA 02138, USA
| | - Stephane Boissinot
- Department of Biology, Queens College, The City University of New York, 65-30 Kissena Boulevard, Flushing, NY 11367-1597; USA
| | - Nicholas G Crawford
- Department of Biology, Boston University, 5 Cummington Street, Boston, MA 02215, USA
| | - Brant C Faircloth
- Department of Ecology and Evolutionary Biology, University of California, 621 Charles E. Young Drive South, Los Angeles, CA 90095, USA
| | - Travis C Glenn
- Department of Environmental Health Science, University of Georgia, 150 East Green Street, Athens, GA 30602, USA
| | - Daniel E Janes
- Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Ave., Cambridge, MA 02138, USA
| | - Jonathan B Losos
- Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Ave., Cambridge, MA 02138, USA
- Museum of Comparative Zoology, Harvard University, 26 Oxford St., Cambridge, MA 02138, USA
| | - Douglas B Menke
- Department of Genetics, University of Georgia, 120 East Green Street, Athens, GA 30602-7223, USA
| | - Steven Poe
- Department of Biology, University of New Mexico, 167 Castetter Hall, MSC03 2020, 1 University of New Mexico, Albuquerque, NM 87131-0001, USA
| | - Thomas J Sanger
- Department of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Ave., Cambridge, MA 02138, USA
- Museum of Comparative Zoology, Harvard University, 26 Oxford St., Cambridge, MA 02138, USA
| | | | - Jessica Stapley
- Smithsonian Tropical Research Institute, Unit 9100 BOX 0948, DPO AA 34002-9998, USA
| | - Juli Wade
- Departments of Psychology and Zoology, Michigan State University, 212 Giltner Hall, East Lansing, MI 48824-1101, USA
| | - Jeanne Wilson-Rawls
- School of Life Sciences, Arizona State University, PO Box 874501, Tempe, AZ 85287-4501, USA
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25
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Nomiyama H, Osada N, Yoshie O. A family tree of vertebrate chemokine receptors for a unified nomenclature. DEVELOPMENTAL AND COMPARATIVE IMMUNOLOGY 2011; 35:705-715. [PMID: 21295066 DOI: 10.1016/j.dci.2011.01.019] [Citation(s) in RCA: 93] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2010] [Revised: 01/25/2011] [Accepted: 01/25/2011] [Indexed: 05/30/2023]
Abstract
Chemokines receptors are involved in the recruitment of various cell types in inflammatory and physiological conditions. There are 23 known chemokine receptor genes in the human genome. However, it is still unclear how many chemokine receptors exist in the genomes of various vertebrate species other than human and mouse. Moreover, the orthologous relationships are often obscure between the genes of higher and lower vertebrates. In order to provide a basis for a unified nomenclature system of the vertebrate chemokine receptor gene family, we have analysed the chemokine receptor genes from the genomes of 16 vertebrate species, and classify them into 29 orthologous groups using phylogenetic and comparative genomic analyses. The results reveal a continuous gene birth and death process during the vertebrate evolution and an interesting evolutionary history of the chemokine receptor genes after the emergence in agnathans.
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Affiliation(s)
- Hisayuki Nomiyama
- Department of Molecular Enzymology, Kumamoto University Faculty of Life Sciences, Honjo, Kumamoto 860-8556, Japan.
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26
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Nishita J, Ohta S, Bleyl SB, Schoenwolf GC. Detection of isoform-specific fibroblast growth factor receptors by whole-mount in situ hybridization in early chick embryos. Dev Dyn 2011; 240:1537-47. [PMID: 21465617 DOI: 10.1002/dvdy.22616] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2011] [Indexed: 01/12/2023] Open
Abstract
We have developed "b" and "c" isoform-specific chicken fibroblast growth factor (FGF) receptor 1-3 probes for in situ hybridization. We rigorously demonstrate the specificity of these probes by using both dot blot hybridization and whole-mount in situ hybridization during neurulation and early postneurulation stages, and we compare expression patterns of each of the three isoform-specific probes to one another and to generic probes to each of the three (non-isoform-specific) FGF receptors. We show that the expression pattern of each receptor is represented by the collective expression of each of its two isoforms, with the expression of each FGF receptor being most similar to that of its "c" isoform at two of the three stages studied, and that tissue and stage differences exist in the patterns of expression of the six isoforms. We demonstrate the usefulness of these probes for defining the differential tissue expression of FGF receptor 1-3 isoforms.
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Affiliation(s)
- Junko Nishita
- Department of Neurobiology and Anatomy, University of Utah School of Medicine, Salt Lake City, Utah 84132-3401, USA
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27
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Teixeira ARL, Gomes C, Nitz N, Sousa AO, Alves RM, Guimaro MC, Cordeiro C, Bernal FM, Rosa AC, Hejnar J, Leonardecz E, Hecht MM. Trypanosoma cruzi in the chicken model: Chagas-like heart disease in the absence of parasitism. PLoS Negl Trop Dis 2011; 5:e1000. [PMID: 21468314 PMCID: PMC3066158 DOI: 10.1371/journal.pntd.0001000] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2010] [Accepted: 03/07/2011] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The administration of anti-trypanosome nitroderivatives curtails Trypanosoma cruzi infection in Chagas disease patients, but does not prevent destructive lesions in the heart. This observation suggests that an effective treatment for the disease requires understanding its pathogenesis. METHODOLOGY/PRINCIPAL FINDINGS To understand the origin of clinical manifestations of the heart disease we used a chicken model system in which infection can be initiated in the egg, but parasite persistence is precluded. T. cruzi inoculation into the air chamber of embryonated chicken eggs generated chicks that retained only the parasite mitochondrial kinetoplast DNA minicircle in their genome after eight days of gestation. Crossbreeding showed that minicircles were transferred vertically via the germ line to chicken progeny. Minicircle integration in coding regions was shown by targeted-primer thermal asymmetric interlaced PCR, and detected by direct genomic analysis. The kDNA-mutated chickens died with arrhythmias, shortness of breath, cyanosis and heart failure. These chickens with cardiomyopathy had rupture of the dystrophin and other genes that regulate cell growth and differentiation. Tissue pathology revealed inflammatory dilated cardiomegaly whereby immune system mononuclear cells lyse parasite-free target heart fibers. The heart cell destruction implicated a thymus-dependent, autoimmune; self-tissue rejection carried out by CD45(+), CD8γδ(+), and CD8α lymphocytes. CONCLUSIONS/SIGNIFICANCE These results suggest that genetic alterations resulting from kDNA integration in the host genome lead to autoimmune-mediated destruction of heart tissue in the absence of T. cruzi parasites.
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Affiliation(s)
- Antonio R L Teixeira
- Chagas Disease Multidisciplinary Research Laboratory, Faculty of Medicine, University of Brasilia, Brasilia, Federal District, Brazil.
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28
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McCarthy FM, Gresham CR, Buza TJ, Chouvarine P, Pillai LR, Kumar R, Ozkan S, Wang H, Manda P, Arick T, Bridges SM, Burgess SC. AgBase: supporting functional modeling in agricultural organisms. Nucleic Acids Res 2010; 39:D497-506. [PMID: 21075795 PMCID: PMC3013706 DOI: 10.1093/nar/gkq1115] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
AgBase (http://www.agbase.msstate.edu/) provides resources to facilitate modeling of functional genomics data and structural and functional annotation of agriculturally important animal, plant, microbe and parasite genomes. The website is redesigned to improve accessibility and ease of use, including improved search capabilities. Expanded capabilities include new dedicated pages for horse, cat, dog, cotton, rice and soybean. We currently provide 590 240 Gene Ontology (GO) annotations to 105 454 gene products in 64 different species, including GO annotations linked to transcripts represented on agricultural microarrays. For many of these arrays, this provides the only functional annotation available. GO annotations are available for download and we provide comprehensive, species-specific GO annotation files for 18 different organisms. The tools available at AgBase have been expanded and several existing tools improved based upon user feedback. One of seven new tools available at AgBase, GOModeler, supports hypothesis testing from functional genomics data. We host several associated databases and provide genome browsers for three agricultural pathogens. Moreover, we provide comprehensive training resources (including worked examples and tutorials) via links to Educational Resources at the AgBase website.
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Affiliation(s)
- Fiona M McCarthy
- Department of Basic Sciences, College of Veterinary Medicine, PO Box 6100, Mississippi State University, MS 39762, USA.
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29
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Seal RL, Gordon SM, Lush MJ, Wright MW, Bruford EA. genenames.org: the HGNC resources in 2011. Nucleic Acids Res 2010; 39:D514-9. [PMID: 20929869 PMCID: PMC3013772 DOI: 10.1093/nar/gkq892] [Citation(s) in RCA: 175] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
The HUGO Gene Nomenclature Committee (HGNC) aims to assign a unique gene symbol and name to every human gene. The HGNC database currently contains almost 30 000 approved gene symbols, over 19 000 of which represent protein-coding genes. The public website, www.genenames.org, displays all approved nomenclature within Symbol Reports that contain data curated by HGNC editors and links to related genomic, phenotypic and proteomic information. Here we describe improvements to our resources, including a new Quick Gene Search, a new List Search, an integrated HGNC BioMart and a new Statistics and Downloads facility.
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Affiliation(s)
- Ruth L Seal
- European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK.
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