1
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Heinrich J, Berger C, Berger B, Hecht W, Phillips C, Parson W. The LASSIE MPS panel: Predicting externally visible traits in dogs for forensic purposes. Forensic Sci Int Genet 2023; 66:102893. [PMID: 37290253 DOI: 10.1016/j.fsigen.2023.102893] [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: 03/03/2023] [Revised: 05/28/2023] [Accepted: 06/01/2023] [Indexed: 06/10/2023]
Abstract
Predicting the outward appearance of dogs via their DNA, also known as Canine DNA Phenotyping, is a young, emerging field of research in forensic genetics. The few previous studies published in this respect were restricted to the consecutive analysis of single DNA markers, a process that is time- and sample-consuming and therefore not a viable option for limited forensic specimens. Here, we report on the development and evaluation of a Massively Parallel Sequencing (MPS) based molecular genetic assay, the LASSIE MPS Panel. This panel aims to predict externally visible as well as skeletal traits, which include coat color, coat pattern, coat structure, tail morphology, skull shape, ear shape, eye color and body size from DNA using 44 genetic markers in a single molecular genetic assay. A biostatistical naïve Bayes classification approach was applied to identify the most informative marker combinations for predicting phenotypes. Overall, the predictive performance was characterized by a very high classification success for some of the trait categories, and high to moderate success for others. The performance of the developed predictive framework was further evaluated using blind samples from three randomly selected dog individuals, whose appearance was well predicted.
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Affiliation(s)
- Josephin Heinrich
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Cordula Berger
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Burkhard Berger
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria
| | - Werner Hecht
- Institute of Veterinary Pathology, Justus-Liebig-University Giessen, Giessen, Germany
| | - Christopher Phillips
- Forensic Genetics Unit, Institute of Forensic Sciences, University of Santiago de Compostela, Spain
| | - Walther Parson
- Institute of Legal Medicine, Medical University of Innsbruck, Innsbruck, Austria; Forensic Science Program, The Pennsylvania State University, University Park, PA, USA.
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2
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Moon KL, Huson HJ, Morrill K, Wang MS, Li X, Srikanth K, Lindblad-Toh K, Svenson GJ, Karlsson EK, Shapiro B. Comparative genomics of Balto, a famous historic dog, captures lost diversity of 1920s sled dogs. Science 2023; 380:eabn5887. [PMID: 37104591 PMCID: PMC10184777 DOI: 10.1126/science.abn5887] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 11/23/2022] [Indexed: 04/29/2023]
Abstract
We reconstruct the phenotype of Balto, the heroic sled dog renowned for transporting diphtheria antitoxin to Nome, Alaska, in 1925, using evolutionary constraint estimates from the Zoonomia alignment of 240 mammals and 682 genomes from dogs and wolves of the 21st century. Balto shares just part of his diverse ancestry with the eponymous Siberian husky breed. Balto's genotype predicts a combination of coat features atypical for modern sled dog breeds, and a slightly smaller stature. He had enhanced starch digestion compared with Greenland sled dogs and a compendium of derived homozygous coding variants at constrained positions in genes connected to bone and skin development. We propose that Balto's population of origin, which was less inbred and genetically healthier than that of modern breeds, was adapted to the extreme environment of 1920s Alaska.
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Affiliation(s)
- Katherine L. Moon
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Heather J. Huson
- Department of Animal Sciences, Cornell University College of Agriculture and Life Sciences, Ithaca, NY, 14853, USA
| | - Kathleen Morrill
- Bioinformatics and Integrative Biology, UMass Chan Medical School, Worcester, MA 01655, USA
- Morningside Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA 01655, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ming-Shan Wang
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Xue Li
- Bioinformatics and Integrative Biology, UMass Chan Medical School, Worcester, MA 01655, USA
- Morningside Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA 01655, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Krishnamoorthy Srikanth
- Department of Animal Sciences, Cornell University College of Agriculture and Life Sciences, Ithaca, NY, 14853, USA
| | | | - Kerstin Lindblad-Toh
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University; Uppsala, 751 32, Sweden
| | | | - Elinor K. Karlsson
- Bioinformatics and Integrative Biology, UMass Chan Medical School, Worcester, MA 01655, USA
- Morningside Graduate School of Biomedical Sciences, UMass Chan Medical School, Worcester, MA 01655, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA
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3
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Bennett NE, Gray PB. A Study Evaluating Consumer Motivations, Perceptions, and Responses to Direct-to-Consumer Canine Genetic Test Results. Animals (Basel) 2022; 12:ani12233360. [PMID: 36496881 PMCID: PMC9741277 DOI: 10.3390/ani12233360] [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: 10/30/2022] [Revised: 11/27/2022] [Accepted: 11/28/2022] [Indexed: 12/05/2022] Open
Abstract
Direct-to-consumer genetic services allow companion animal guardians to purchase a DNA test and receive detailed results about their pet's ancestry, health, and traits results. In collaboration with Wisdom Panel, we present novel findings about consumer motivations, perceptions, and responses to their use of canine genomic services. Wisdom Panel customers were invited to complete an online survey anonymously in which they were asked about their reasons for using a genetic test for their dog, how they perceived the test's results, and how they responded to the results they received. Participant data revealed most utilized a test that provided more ancestry/breed results (75.9%) as compared to health-related results. The majority of participants perceived the breed test results as accurate (52.0% strongly agree, 27.6% somewhat agree) and the genetic services provided as having great value (49.6% strongly agree, 32.7% somewhat agreed). In responding to their dog's results, participants indicated they shared the information with family (88.1%) and friends (84.2%). Collectively, our study indicates consumers are more focused on their dog's ancestry than other test results. Using these findings and previous literature on human direct-to-consumer genetic testing, human-animal dyads, and identity construction, we consider the possibility of "breed options theory" and future areas of research.
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4
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Srikanth K, von Pfeil DJF, Stanley BJ, Griffitts C, Huson HJ. Genome Wide Association Study with Imputed Whole Genome Sequence Data Identifies a 431 kb Risk Haplotype on CFA18 for Congenital Laryngeal Paralysis in Alaskan Sled Dogs. Genes (Basel) 2022; 13:genes13101808. [PMID: 36292693 PMCID: PMC9602090 DOI: 10.3390/genes13101808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 11/16/2022] Open
Abstract
Congenital laryngeal paralysis (CLP) is an inherited disorder that affects the ability of the dog to exercise and precludes it from functioning as a working sled dog. Though CLP is known to occur in Alaskan sled dogs (ASDs) since 1986, the genetic mutation underlying the disease has not been reported. Using a genome-wide association study (GWAS), we identified a 708 kb region on CFA 18 harboring 226 SNPs to be significantly associated with CLP. The significant SNPs explained 47.06% of the heritability of CLP. We narrowed the region to 431 kb through autozygosity mapping and found 18 of the 20 cases to be homozygous for the risk haplotype. Whole genome sequencing of two cases and a control ASD, and comparison with the genome of 657 dogs from various breeds, confirmed the homozygous status of the risk haplotype to be unique to the CLP cases. Most of the dogs that were homozygous for the risk allele had blue eyes. Gene annotation and a gene-based association study showed that the risk haplotype encompasses genes implicated in developmental and neurodegenerative disorders. Pathway analysis showed enrichment of glycoproteins and glycosaminoglycans biosynthesis, which play a key role in repairing damaged nerves. In conclusion, our results suggest an important role for the identified candidate region in CLP.
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Affiliation(s)
- Krishnamoorthy Srikanth
- Department of Animal Science, College of Agriculture and Life Science, Cornell University, Ithaca, NY 14850, USA
| | | | - Bryden J. Stanley
- Department of Small Animal Clinical Sciences, Michigan State University, East Lansing, MI 48824, USA
| | | | - Heather J. Huson
- Department of Animal Science, College of Agriculture and Life Science, Cornell University, Ithaca, NY 14850, USA
- Correspondence:
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5
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Bergström A, Stanton DWG, Taron UH, Frantz L, Sinding MHS, Ersmark E, Pfrengle S, Cassatt-Johnstone M, Lebrasseur O, Girdland-Flink L, Fernandes DM, Ollivier M, Speidel L, Gopalakrishnan S, Westbury MV, Ramos-Madrigal J, Feuerborn TR, Reiter E, Gretzinger J, Münzel SC, Swali P, Conard NJ, Carøe C, Haile J, Linderholm A, Androsov S, Barnes I, Baumann C, Benecke N, Bocherens H, Brace S, Carden RF, Drucker DG, Fedorov S, Gasparik M, Germonpré M, Grigoriev S, Groves P, Hertwig ST, Ivanova VV, Janssens L, Jennings RP, Kasparov AK, Kirillova IV, Kurmaniyazov I, Kuzmin YV, Kosintsev PA, Lázničková-Galetová M, Leduc C, Nikolskiy P, Nussbaumer M, O'Drisceoil C, Orlando L, Outram A, Pavlova EY, Perri AR, Pilot M, Pitulko VV, Plotnikov VV, Protopopov AV, Rehazek A, Sablin M, Seguin-Orlando A, Storå J, Verjux C, Zaibert VF, Zazula G, Crombé P, Hansen AJ, Willerslev E, Leonard JA, Götherström A, Pinhasi R, Schuenemann VJ, Hofreiter M, Gilbert MTP, Shapiro B, Larson G, Krause J, Dalén L, Skoglund P. Grey wolf genomic history reveals a dual ancestry of dogs. Nature 2022; 607:313-320. [PMID: 35768506 PMCID: PMC9279150 DOI: 10.1038/s41586-022-04824-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 04/28/2022] [Indexed: 01/01/2023]
Abstract
The grey wolf (Canis lupus) was the first species to give rise to a domestic population, and they remained widespread throughout the last Ice Age when many other large mammal species went extinct. Little is known, however, about the history and possible extinction of past wolf populations or when and where the wolf progenitors of the present-day dog lineage (Canis familiaris) lived1–8. Here we analysed 72 ancient wolf genomes spanning the last 100,000 years from Europe, Siberia and North America. We found that wolf populations were highly connected throughout the Late Pleistocene, with levels of differentiation an order of magnitude lower than they are today. This population connectivity allowed us to detect natural selection across the time series, including rapid fixation of mutations in the gene IFT88 40,000–30,000 years ago. We show that dogs are overall more closely related to ancient wolves from eastern Eurasia than to those from western Eurasia, suggesting a domestication process in the east. However, we also found that dogs in the Near East and Africa derive up to half of their ancestry from a distinct population related to modern southwest Eurasian wolves, reflecting either an independent domestication process or admixture from local wolves. None of the analysed ancient wolf genomes is a direct match for either of these dog ancestries, meaning that the exact progenitor populations remain to be located. DNA from ancient wolves spanning 100,000 years sheds light on wolves’ evolutionary history and the genomic origin of dogs.
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Affiliation(s)
- Anders Bergström
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK.
| | - David W G Stanton
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden.,School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Ulrike H Taron
- Evolutionary Adaptive Genomics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Laurent Frantz
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.,Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
| | - Mikkel-Holger S Sinding
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.,The Qimmeq Project, University of Greenland, Nuuk, Greenland.,Greenland Institute of Natural Resources, Nuuk, Greenland
| | - Erik Ersmark
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden
| | - Saskia Pfrengle
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany.,Institute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland
| | - Molly Cassatt-Johnstone
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Ophélie Lebrasseur
- The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Linus Girdland-Flink
- Department of Archaeology, School of Geosciences, University of Aberdeen, Aberdeen, UK.,School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK
| | - Daniel M Fernandes
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.,CIAS, Department of Life Sciences, University of Coimbra, Coimbra, Portugal
| | - Morgane Ollivier
- University of Rennes, CNRS, ECOBIO (Ecosystèmes, biodiversité, évolution)-UMR 6553, Rennes, France
| | - Leo Speidel
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK.,Genetics Institute, University College London, London, UK
| | | | - Michael V Westbury
- Evolutionary Adaptive Genomics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.,The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - Tatiana R Feuerborn
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,The Qimmeq Project, University of Greenland, Nuuk, Greenland.,Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany
| | - Ella Reiter
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany
| | - Joscha Gretzinger
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany.,Max Planck Institute for the Science of Human History, Jena, Germany
| | - Susanne C Münzel
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany
| | - Pooja Swali
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
| | - Nicholas J Conard
- Department of Early Prehistory and Quaternary Ecology, University of Tübingen, Tübingen, Germany.,Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany
| | - Christian Carøe
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - James Haile
- The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Anna Linderholm
- Centre for Palaeogenetics, Stockholm, Sweden.,The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK.,Texas A&M University, College Station, TX, USA.,Department of Geological Sciences, Stockholm University, Stockholm, Sweden
| | | | - Ian Barnes
- Department of Earth Sciences, Natural History Museum, London, UK
| | - Chris Baumann
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany.,Department of Geosciences and Geography, Faculty of Science, University of Helsinki, Helsinki, Finland
| | | | - Hervé Bocherens
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany.,Biogeology, Department of Geosciences, University of Tübingen, Tübingen, Germany
| | - Selina Brace
- Department of Earth Sciences, Natural History Museum, London, UK
| | - Ruth F Carden
- School of Archaeology, University College Dublin, Dublin, Ireland
| | - Dorothée G Drucker
- Senckenberg Centre for Human Evolution and Palaeoenvironment, University of Tübingen, Tübingen, Germany
| | - Sergey Fedorov
- North-Eastern Federal University, Yakutsk, Russian Federation
| | | | | | | | - Pam Groves
- University of Alaska, Fairbanks, AK, USA
| | - Stefan T Hertwig
- Naturhistorisches Museum Bern, Bern, Switzerland.,Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | | | | | - Richard P Jennings
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK
| | - Aleksei K Kasparov
- Institute for the History of Material Culture, Russian Academy of Sciences, St Petersburg, Russian Federation
| | - Irina V Kirillova
- Ice Age Museum, Shidlovskiy National Alliance 'Ice Age', Moscow, Russian Federation
| | - Islam Kurmaniyazov
- Department of Archaeology, Ethnology and Museology, Al-Farabi Kazakh State University, Almaty, Kazakhstan
| | - Yaroslav V Kuzmin
- Sobolev Institute of Geology and Mineralogy, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation
| | | | | | | | - Pavel Nikolskiy
- Geological Institute, Russian Academy of Sciences, Moscow, Russian Federation
| | | | - Cóilín O'Drisceoil
- National Monuments Service, Department of Housing, Local Government and Heritage, Dublin, Ireland
| | - Ludovic Orlando
- Centre d'Anthropobiologie et de Génomique de Toulouse UMR 5288, CNRS, Faculté de Médecine Purpan, Université Paul Sabatier, Toulouse, France
| | - Alan Outram
- Department of Archaeology, University of Exeter, Exeter, UK
| | - Elena Y Pavlova
- Arctic & Antarctic Research Institute, St Petersburg, Russian Federation
| | - Angela R Perri
- PaleoWest, Henderson, NV, USA.,Department of Anthropology, University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - Małgorzata Pilot
- Museum & Institute of Zoology, Polish Academy of Sciences, Gdańsk, Poland
| | - Vladimir V Pitulko
- Institute for the History of Material Culture, Russian Academy of Sciences, St Petersburg, Russian Federation
| | | | | | | | - Mikhail Sablin
- Zoological Institute of the Russian Academy of Sciences, St. Petersburg, Russian Federation
| | - Andaine Seguin-Orlando
- Centre d'Anthropobiologie et de Génomique de Toulouse UMR 5288, CNRS, Faculté de Médecine Purpan, Université Paul Sabatier, Toulouse, France
| | - Jan Storå
- Stockholm University, Stockholm, Sweden
| | | | - Victor F Zaibert
- Institute of Archaeology and Steppe Civilizations, Al-Farabi Kazakh National University, Almaty, Kazakhstan
| | - Grant Zazula
- Yukon Palaeontology Program, Whitehorse, Yukon Territories, Canada.,Collections and Research, Canadian Museum of Nature, Ottawa, Ontario, Canada
| | | | - Anders J Hansen
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Eske Willerslev
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Department of Zoology, University of Cambridge, Cambridge, UK
| | | | - Anders Götherström
- Centre for Palaeogenetics, Stockholm, Sweden.,Stockholm University, Stockholm, Sweden
| | - Ron Pinhasi
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.,Human Evolution and Archaeological Sciences, University of Vienna, Vienna, Austria
| | - Verena J Schuenemann
- Institute for Archaeological Sciences, University of Tübingen, Tübingen, Germany.,Institute of Evolutionary Medicine, University of Zurich, Zurich, Switzerland.,Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - M Thomas P Gilbert
- The GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,University Museum, NTNU, Trondheim, Norway
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, USA.,Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Greger Larson
- The Palaeogenomics & Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Johannes Krause
- Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany
| | - Love Dalén
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden
| | - Pontus Skoglund
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK.
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6
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Morrill K, Hekman J, Li X, McClure J, Logan B, Goodman L, Gao M, Dong Y, Alonso M, Carmichael E, Snyder-Mackler N, Alonso J, Noh HJ, Johnson J, Koltookian M, Lieu C, Megquier K, Swofford R, Turner-Maier J, White ME, Weng Z, Colubri A, Genereux DP, Lord KA, Karlsson EK. Ancestry-inclusive dog genomics challenges popular breed stereotypes. Science 2022; 376:eabk0639. [PMID: 35482869 DOI: 10.1126/science.abk0639] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Behavioral genetics in dogs has focused on modern breeds, which are isolated subgroups with distinctive physical and, purportedly, behavioral characteristics. We interrogated breed stereotypes by surveying owners of 18,385 purebred and mixed-breed dogs and genotyping 2155 dogs. Most behavioral traits are heritable [heritability (h2) > 25%], and admixture patterns in mixed-breed dogs reveal breed propensities. Breed explains just 9% of behavioral variation in individuals. Genome-wide association analyses identify 11 loci that are significantly associated with behavior, and characteristic breed behaviors exhibit genetic complexity. Behavioral loci are not unusually differentiated in breeds, but breed propensities align, albeit weakly, with ancestral function. We propose that behaviors perceived as characteristic of modern breeds derive from thousands of years of polygenic adaptation that predates breed formation, with modern breeds distinguished primarily by aesthetic traits.
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Affiliation(s)
- Kathleen Morrill
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Morningside Graduate School of Biomedical Sciences, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jessica Hekman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Xue Li
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Morningside Graduate School of Biomedical Sciences, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jesse McClure
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Brittney Logan
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Linda Goodman
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Fauna Bio Inc., Emeryville, CA 94608, USA
| | - Mingshi Gao
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Morningside Graduate School of Biomedical Sciences, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Yinan Dong
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Marjie Alonso
- The International Association of Animal Behavior Consultants, Cranberry Township, PA 16066, USA.,IAABC Foundation, Cranberry Township, PA 16066, USA
| | - Elena Carmichael
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Rice University, Houston, TX 77005, USA
| | - Noah Snyder-Mackler
- Center for Evolution and Medicine, Arizona State University, Tempe, AZ 85251, USA.,School for Human Evolution and Social Change, Arizona State University, Tempe, AZ 85251, USA.,School of Life Sciences, Arizona State University, Tempe, AZ 85251, USA
| | - Jacob Alonso
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Hyun Ji Noh
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jeremy Johnson
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Charlie Lieu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Darwin's Ark Foundation, Seattle, WA 98026, USA
| | - Kate Megquier
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Ross Swofford
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Michelle E White
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Zhiping Weng
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
| | - Andrés Colubri
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Kathryn A Lord
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Elinor K Karlsson
- Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Morningside Graduate School of Biomedical Sciences, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA.,Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.,Darwin's Ark Foundation, Seattle, WA 98026, USA.,Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01655, USA
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7
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Slavney AJ, Kawakami T, Jensen MK, Nelson TC, Sams AJ, Boyko AR. Five genetic variants explain over 70% of hair coat pheomelanin intensity variation in purebred and mixed breed domestic dogs. PLoS One 2021; 16:e0250579. [PMID: 34043658 PMCID: PMC8158882 DOI: 10.1371/journal.pone.0250579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 04/08/2021] [Indexed: 11/19/2022] Open
Abstract
In mammals, the pigment molecule pheomelanin confers red and yellow color to hair, and the intensity of this coloration is caused by variation in the amount of pheomelanin. Domestic dogs exhibit a wide range of pheomelanin intensity, ranging from the white coat of the Samoyed to the deep red coat of the Irish Setter. While several genetic variants have been associated with specific coat intensity phenotypes in certain dog breeds, they do not explain the majority of phenotypic variation across breeds. In order to gain further insight into the extent of multigenicity and epistatic interactions underlying coat pheomelanin intensity in dogs, we leveraged a large dataset obtained via a direct-to-consumer canine genetic testing service. This consisted of genome-wide single nucleotide polymorphism (SNP) genotype data and owner-provided photos for 3,057 pheomelanic mixed breed and purebred dogs from 63 breeds and varieties spanning the full range of canine coat pheomelanin intensity. We first performed a genome-wide association study (GWAS) on 2,149 of these dogs to search for additional genetic variants that underlie intensity variation. GWAS identified five loci significantly associated with intensity, of which two (CFA15 29.8 Mb and CFA20 55.8 Mb) replicate previous findings and three (CFA2 74.7 Mb, CFA18 12.9 Mb, CFA21 10.9 Mb) have not previously been reported. In order to assess the combined predictive power of these loci across dog breeds, we used our GWAS data set to fit a linear model, which explained over 70% of variation in coat pheomelanin intensity in an independent validation dataset of 908 dogs. These results introduce three novel pheomelanin intensity loci, and further demonstrate the multigenic nature of coat pheomelanin intensity determination in domestic dogs.
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Affiliation(s)
- Andrea J. Slavney
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Takeshi Kawakami
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Meghan K. Jensen
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Thomas C. Nelson
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Aaron J. Sams
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
| | - Adam R. Boyko
- Embark Veterinary, Inc., Boston, Massachusetts, United States of America
- Department of Biomedical Sciences, Cornell University College of Veterinary Medicine, Ithaca, New York, United States of America
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8
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Man's best friend in life and death: scientific perspectives and challenges of dog brain banking. GeroScience 2021; 43:1653-1668. [PMID: 33970413 PMCID: PMC8492856 DOI: 10.1007/s11357-021-00373-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 04/19/2021] [Indexed: 12/12/2022] Open
Abstract
Biobanking refers to the systematic collection, storage, and distribution of pre- or post-mortem biological samples derived from volunteer donors. The demand for high-quality human specimens is clearly demonstrated by the number of newly emerging biobanking facilities and large international collaborative networks. Several animal species are relevant today in medical research; therefore, similar initiatives in comparative physiology could be fruitful. Dogs, in particular, are gaining increasing attention in translational research on complex phenomena, like aging, cancer, and neurodegenerative diseases. Therefore, biobanks gathering and storing dog biological materials together with related data could play a vital role in translational and veterinary research projects. To achieve these aims, a canine biobank should meet the same standards in sample quality and data management as human biobanks and should rely on well-designed collaborative networks between different professionals and dog owners. While efforts to create dog biobanks could face similar financial and technical challenges as their human counterparts, they can widen the spectrum of successful collaborative initiatives towards a better picture of dogs’ physiology, disease, evolution, and translational potential. In this review, we provide an overview about the current state of dog biobanking and introduce the “Canine Brain and Tissue Bank” (CBTB)—a new, large-scale collaborative endeavor in the field.
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9
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Serres-Armero A, Davis BW, Povolotskaya IS, Morcillo-Suarez C, Plassais J, Juan D, Ostrander EA, Marques-Bonet T. Copy number variation underlies complex phenotypes in domestic dog breeds and other canids. Genome Res 2021; 31:762-774. [PMID: 33863806 PMCID: PMC8092016 DOI: 10.1101/gr.266049.120] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 02/26/2021] [Indexed: 01/02/2023]
Abstract
Extreme phenotypic diversity, a history of artificial selection, and socioeconomic value make domestic dog breeds a compelling subject for genomic research. Copy number variation (CNV) is known to account for a significant part of inter-individual genomic diversity in other systems. However, a comprehensive genome-wide study of structural variation as it relates to breed-specific phenotypes is lacking. We have generated whole genome CNV maps for more than 300 canids. Our data set extends the canine structural variation landscape to more than 100 dog breeds, including novel variants that cannot be assessed using microarray technologies. We have taken advantage of this data set to perform the first CNV-based genome-wide association study (GWAS) in canids. We identify 96 loci that display copy number differences across breeds, which are statistically associated with a previously compiled set of breed-specific morphometrics and disease susceptibilities. Among these, we highlight the discovery of a long-range interaction involving a CNV near MED13L and TBX3, which could influence breed standard height. Integration of the CNVs with chromatin interactions, long noncoding RNA expression, and single nucleotide variation highlights a subset of specific loci and genes with potential functional relevance and the prospect to explain trait variation between dog breeds.
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Affiliation(s)
- Aitor Serres-Armero
- IBE, Institut de Biologia Evolutiva (Universitat Pompeu Fabra/CSIC), Ciencies Experimentals i de la Salut, Barcelona 08003, Spain
| | - Brian W Davis
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.,Department of Veterinary Integrative Biosciences, College of Veterinary Medicine, Texas A&M University, College Station, Texas 77843, USA
| | - Inna S Povolotskaya
- Veltischev Research and Clinical Institute for Pediatrics of the Pirogov Russian National Research Medical University, Moscow 117997, Russia
| | - Carlos Morcillo-Suarez
- IBE, Institut de Biologia Evolutiva (Universitat Pompeu Fabra/CSIC), Ciencies Experimentals i de la Salut, Barcelona 08003, Spain
| | - Jocelyn Plassais
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - David Juan
- IBE, Institut de Biologia Evolutiva (Universitat Pompeu Fabra/CSIC), Ciencies Experimentals i de la Salut, Barcelona 08003, Spain
| | - Elaine A Ostrander
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Tomas Marques-Bonet
- IBE, Institut de Biologia Evolutiva (Universitat Pompeu Fabra/CSIC), Ciencies Experimentals i de la Salut, Barcelona 08003, Spain.,CNAG-CRG, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), Barcelona 08028, Spain.,Institucio Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia 08010, Spain.,Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Catalonia 08201, Spain
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10
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Liu S, Gao G, Layer RM, Thorgaard GH, Wiens GD, Leeds TD, Martin KE, Palti Y. Identification of High-Confidence Structural Variants in Domesticated Rainbow Trout Using Whole-Genome Sequencing. Front Genet 2021; 12:639355. [PMID: 33732289 PMCID: PMC7959816 DOI: 10.3389/fgene.2021.639355] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 02/08/2021] [Indexed: 12/14/2022] Open
Abstract
Genomic structural variants (SVs) are a major source of genetic and phenotypic variation but have not been investigated systematically in rainbow trout (Oncorhynchus mykiss), an important aquaculture species of cold freshwater. The objectives of this study were 1) to identify and validate high-confidence SVs in rainbow trout using whole-genome re-sequencing; and 2) to examine the contribution of transposable elements (TEs) to SVs in rainbow trout. A total of 96 rainbow trout, including 11 homozygous lines and 85 outbred fish from three breeding populations, were whole-genome sequenced with an average genome coverage of 17.2×. Putative SVs were identified using the program Smoove which integrates LUMPY and other associated tools into one package. After rigorous filtering, 13,863 high-confidence SVs were identified. Pacific Biosciences long-reads of Arlee, one of the homozygous lines used for SV detection, validated 98% (3,948 of 4,030) of the high-confidence SVs identified in the Arlee homozygous line. Based on principal component analysis, the 85 outbred fish clustered into three groups consistent with their populations of origin, further indicating that the high-confidence SVs identified in this study are robust. The repetitive DNA content of the high-confidence SV sequences was 86.5%, which is much higher than the 57.1% repetitive DNA content of the reference genome, and is also higher than the repetitive DNA content of Atlantic salmon SVs reported previously. TEs thus contribute substantially to SVs in rainbow trout as TEs make up the majority of repetitive sequences. Hundreds of the high-confidence SVs were annotated as exon-loss or gene-fusion variants, and may have phenotypic effects. The high-confidence SVs reported in this study provide a foundation for further rainbow trout SV studies.
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Affiliation(s)
- Sixin Liu
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, United States
| | - Guangtu Gao
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, United States
| | - Ryan M Layer
- BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, United States.,Department of Computer Science, University of Colorado Boulder, Boulder, CO, United States
| | - Gary H Thorgaard
- Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, United States
| | - Gregory D Wiens
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, United States
| | - Timothy D Leeds
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, United States
| | | | - Yniv Palti
- National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, WV, United States
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11
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Moscatelli G, Bovo S, Schiavo G, Mazzoni G, Bertolini F, Dall'Olio S, Fontanesi L. Genome-wide association studies for iris pigmentation and heterochromia patterns in Large White pigs. Anim Genet 2020; 51:409-419. [PMID: 32232994 DOI: 10.1111/age.12930] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2020] [Indexed: 01/13/2023]
Abstract
Eye colour genetics have been extensively studied in humans since the rediscovery of Mendel's laws. This trait was first interpreted using simplistic genetic models but soon it was realised that it is more complex. In this study, we analysed eye colour variability in a Large White pig population (n = 897) and report the results of GWASs based on several comparisons including pigs having four main eye colour categories (three with both pigmented eyes of different brown grades: pale, 17.9%; medium, 14.8%; and dark, 54.3%; another one with both eyes completely depigmented, 3.8%) and heterochromia patterns (heterochromia iridis - depigmented iris sectors in pigmented irises, 3.2%; heterochromia iridum - one whole eye iris of depigmented phenotype and the other eye with the iris completely pigmented, 5.9%). Pigs were genotyped with the Illumina PorcineSNP60 BeadChip and GEMMA was used for the association analyses. The results indicated that SLC45A2 (on chromosome 16, SSC16), EDNRB (SSC11) and KITLG (SSC5) affect the different grades of brown pigmentation of the eyes, the bilateral eye depigmentation defect and the heterochromia iridis defect recorded in this white pig population respectively. These genes are involved in several mechanisms affecting pigmentation. Significant associations for the eye depigmented patterns were also identified for SNPs on two SSC4 regions (including two candidate genes: NOTCH2 and PREX2) and on SSC6, SSC8 and SSC14 (including COL17A1 as candidate gene). This study provided useful information to understand eye pigmentation mechanisms, further valuing the pig as animal model to study complex phenotypes in humans.
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Affiliation(s)
- G Moscatelli
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - S Bovo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - G Schiavo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - G Mazzoni
- Department of Health Technology, Technical University of Denmark, Lyngby, 2800, Denmark
| | - F Bertolini
- National Institute of Aquatic Resources, Technical University of Denmark, Lyngby, 2800, Denmark
| | - S Dall'Olio
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
| | - L Fontanesi
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale G. Fanin 46, 40127, Bologna, Italy
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12
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Pelles Z, Gáspárdy A, Zöldág L, Lénárt X, Ninausz N, Varga L, Zenke P. Merle allele variations in the Mudi dog breed and their effects on phenotypes. Acta Vet Hung 2019; 67:159-173. [PMID: 31238727 DOI: 10.1556/004.2019.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
A retrotransposon insertion in the SILV gene is associated with a peculiar phenotype of dog, known as a merle. It is characterised by various areas of their coat colour becoming diluted due to a malfunction in the eumelanin-producing pigment cells. Recent studies have shown that the exact size of the short interspersed element (SINE) insertion is in correlation with specific phenotypic attributes, but was not able to absolutely confine dogs to a certain colour pattern. Our study focused on the merle variations occurring in the Mudi breed. Altogether, 123 dog samples from 11 countries were tested and genotyped. The exact length of the merle alleles were determined by automated fluorescent capillary fragment analysis. The most frequent merle genotype in this Mudi sample collection was the 'classic' merle (m/M: 61.8%), whereas other variants, such as atypical (m/Ma and m/Ma+: 5.7%), harlequin (m/Mh: 13.8%), double merle (M/M: 0.8%) and mosaic profiles (17.9%) were also observed. The practical significance of testing this mutation is that, phenotypically, not only merle dogs are carriers of this insertion, but also the so-called hidden merle individuals (where the merle phenotype is fully covered by the pheomelanin-dominated colouration) are potentially capable of producing unintentionally homozygous 'double merle' progeny with ophthalmologic, viability and auditory impairments.
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Affiliation(s)
- Zsófia Pelles
- 1Department of Animal Breeding and Genetics, University of Veterinary Medicine Budapest, István utca 2, H-1078 Budapest, Hungary
| | - András Gáspárdy
- 1Department of Animal Breeding and Genetics, University of Veterinary Medicine Budapest, István utca 2, H-1078 Budapest, Hungary
| | - László Zöldág
- 1Department of Animal Breeding and Genetics, University of Veterinary Medicine Budapest, István utca 2, H-1078 Budapest, Hungary
| | - Xénia Lénárt
- 2Institute of Genetics, Microbiology and Biotechnology, Szent István University, Gödöllő, Hungary
| | - Nóra Ninausz
- 3 Research Centre for Farm Animal Gene Conservation, Gödöllő, Hungary
| | - László Varga
- 2Institute of Genetics, Microbiology and Biotechnology, Szent István University, Gödöllő, Hungary
- 3 Research Centre for Farm Animal Gene Conservation, Gödöllő, Hungary
| | - Petra Zenke
- 1Department of Animal Breeding and Genetics, University of Veterinary Medicine Budapest, István utca 2, H-1078 Budapest, Hungary
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13
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Inbreeding depression causes reduced fecundity in Golden Retrievers. Mamm Genome 2019; 30:166-172. [PMID: 31115595 PMCID: PMC6606663 DOI: 10.1007/s00335-019-09805-4] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 05/15/2019] [Indexed: 01/09/2023]
Abstract
Inbreeding depression has been demonstrated to impact vital rates, productivity, and performance in human populations, wild and endangered species, and in recent years, the domestic species. In all cases, standardized, high-quality phenotype data on all individuals are invaluable for longitudinal analyses such as those required to evaluate vital rates of a study cohort. Further, many investigators agree upon the preference for and utility of genomic measures of inbreeding in lieu of pedigree-based estimates of inbreeding. We evaluated the association of measures of reproductive fitness in 93 Golden Retrievers enrolled in the Golden Retriever Lifetime Study with a genomic measurement of inbreeding, FROH. We demonstrate a statistically significant negative correlation between fecundity and FROH. This work sets the stage for larger scale analyses to investigate genomic regions associated with fecundity and other measures of fitness.
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14
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Lye ZN, Purugganan MD. Copy Number Variation in Domestication. TRENDS IN PLANT SCIENCE 2019; 24:352-365. [PMID: 30745056 DOI: 10.1016/j.tplants.2019.01.003] [Citation(s) in RCA: 104] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2018] [Revised: 01/08/2019] [Accepted: 01/10/2019] [Indexed: 05/22/2023]
Abstract
Domesticated plants have long served as excellent models for studying evolution. Many genes and mutations underlying important domestication traits have been identified, and most causal mutations appear to be SNPs. Copy number variation (CNV) is an important source of genetic variation that has been largely neglected in studies of domestication. Ongoing work demonstrates the importance of CNVs as a source of genetic variation during domestication, and during the diversification of domesticated taxa. Here, we review how CNVs contribute to evolutionary processes underlying domestication, and review examples of domestication traits caused by CNVs. We draw from examples in plant species, but also highlight cases in animal systems that could illuminate the roles of CNVs in the domestication process.
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Affiliation(s)
- Zoe N Lye
- Center for Genomics and Systems Biology, 12 Waverly Place, New York University, New York, NY 10003, USA
| | - Michael D Purugganan
- Center for Genomics and Systems Biology, 12 Waverly Place, New York University, New York, NY 10003, USA; Center for Genomics and Systems Biology, New York University Abu Dhabi, Saadiyat Island, Abu Dhabi, United Arab Emirates.
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