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Orlando L. The Evolutionary and Historical Foundation of the Modern Horse: Lessons from Ancient Genomics. Annu Rev Genet 2020; 54:563-581. [PMID: 32960653 DOI: 10.1146/annurev-genet-021920-011805] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The domestication of the horse some 5,500 years ago followed those of dogs, sheep, goats, cattle, and pigs by ∼2,500-10,000 years. By providing fast transportation and transforming warfare, the horse had an impact on human history with no equivalent in the animal kingdom. Even though the equine sport industry has considerable economic value today, the evolutionary history underlying the emergence of the modern domestic horse remains contentious. In the last decade, novel sequencing technologies have revolutionized our capacity to sequence the complete genome of organisms, including from archaeological remains. Applied to horses, these technologies have provided unprecedented levels of information and have considerably changed models of horse domestication. This review illustrates how ancient DNA, especially ancient genomes, has inspired researchers to rethink the process by which horses were first domesticated and then diversified into a variety of breeds showing a range of traits that are useful to humans.
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Affiliation(s)
- Ludovic Orlando
- Laboratoire d'Anthropobiologie Moléculaire et Imagerie de Synthèse, Faculté de Médecine Purpan, Université Toulouse III-Paul Sabatier, 31000 Toulouse, France;
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Abstract
The equid family contains only one single extant genus, Equus, including seven living species grouped into horses on the one hand and zebras and asses on the other. In contrast, the equine fossil record shows that an extraordinarily richer diversity existed in the past and provides multiple examples of a highly dynamic evolution punctuated by several waves of explosive radiations and extinctions, cross-continental migrations, and local adaptations. In recent years, genomic technologies have provided new analytical solutions that have enhanced our understanding of equine evolution, including the species radiation within Equus; the extinction dynamics of several lineages; and the domestication history of two individual species, the horse and the donkey. Here, we provide an overview of these recent developments and suggest areas for further research.
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Affiliation(s)
- Pablo Librado
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université Paul Sabatier, Toulouse 31000, France;
| | - Ludovic Orlando
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université Paul Sabatier, Toulouse 31000, France;
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53
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A genome-wide scan for candidate lethal variants in Thoroughbred horses. Sci Rep 2020; 10:13153. [PMID: 32753654 PMCID: PMC7403398 DOI: 10.1038/s41598-020-68946-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 06/26/2020] [Indexed: 12/30/2022] Open
Abstract
Domestic animal populations are often characterised by high rates of inbreeding and low effective population sizes due to selective breeding practices. These practices can result in otherwise rare recessive deleterious alleles drifting to high frequencies, resulting in reduced fertility rates. This study aimed to identify potential recessive lethal haplotypes in the Thoroughbred horse breed, a closed population that has been selectively bred for racing performance. In this study, we identified a haplotype in the LY49B gene that shows strong evidence of being homozygous lethal, despite having high frequencies of heterozygotes in Thoroughbreds and other domestic horse breeds. Variant analysis of whole-genome sequence data identified two SNPs in the 3'UTR of the LY49B gene that may result in loss of function. Analysis of transcriptomic data from equine embryonic tissue revealed that LY49B is expressed in the trophoblast during placentation stage of development. These findings suggest that LY49B may have an essential, but as yet unknown function in the implantation stage of equine development. Further investigation of this region may allow for the development of a genetic test to improve fertility rates in horse populations. Identification of other lethal variants could assist in improving natural levels of fertility in horse populations.
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54
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Wang MS, Thakur M, Peng MS, Jiang Y, Frantz LAF, Li M, Zhang JJ, Wang S, Peters J, Otecko NO, Suwannapoom C, Guo X, Zheng ZQ, Esmailizadeh A, Hirimuthugoda NY, Ashari H, Suladari S, Zein MSA, Kusza S, Sohrabi S, Kharrati-Koopaee H, Shen QK, Zeng L, Yang MM, Wu YJ, Yang XY, Lu XM, Jia XZ, Nie QH, Lamont SJ, Lasagna E, Ceccobelli S, Gunwardana HGTN, Senasige TM, Feng SH, Si JF, Zhang H, Jin JQ, Li ML, Liu YH, Chen HM, Ma C, Dai SS, Bhuiyan AKFH, Khan MS, Silva GLLP, Le TT, Mwai OA, Ibrahim MNM, Supple M, Shapiro B, Hanotte O, Zhang G, Larson G, Han JL, Wu DD, Zhang YP. 863 genomes reveal the origin and domestication of chicken. Cell Res 2020; 30:693-701. [PMID: 32581344 PMCID: PMC7395088 DOI: 10.1038/s41422-020-0349-y] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Accepted: 05/20/2020] [Indexed: 01/10/2023] Open
Abstract
Despite the substantial role that chickens have played in human societies across the world, both the geographic and temporal origins of their domestication remain controversial. To address this issue, we analyzed 863 genomes from a worldwide sampling of chickens and representatives of all four species of wild jungle fowl and each of the five subspecies of red jungle fowl (RJF). Our study suggests that domestic chickens were initially derived from the RJF subspecies Gallus gallus spadiceus whose present-day distribution is predominantly in southwestern China, northern Thailand and Myanmar. Following their domestication, chickens were translocated across Southeast and South Asia where they interbred locally with both RJF subspecies and other jungle fowl species. In addition, our results show that the White Leghorn chicken breed possesses a mosaic of divergent ancestries inherited from other subspecies of RJF. Despite the strong episodic gene flow from geographically divergent lineages of jungle fowls, our analyses show that domestic chickens undergo genetic adaptations that underlie their unique behavioral, morphological and reproductive traits. Our study provides novel insights into the evolutionary history of domestic chickens and a valuable resource to facilitate ongoing genetic and functional investigations of the world's most numerous domestic animal.
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Affiliation(s)
- Ming-Shan Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- Department of Ecology and Evolutionary Biology, Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Mukesh Thakur
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Zoological Survey of India, New Alipore, Kolkata, West Bengal, India
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Laurent Alain François Frantz
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Ming Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Jin-Jin Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Sheng Wang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Joris Peters
- ArchaeoBioCenter and Department of Veterinary Sciences, Institute of Palaeoanatomy, Domestication Research and the History of Veterinary Medicine, LMU Munich, Munich, Germany
- SNSB, Bavarian State Collection of Anthropology and Palaeoanatomy, Munich, Germany
| | - Newton Otieno Otecko
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | | | - Xing Guo
- College of Animal Science and Technology, Anhui Agricultural University, Hefei, Anhui, China
| | - Zhu-Qing Zheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Ali Esmailizadeh
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Department of Animal Science, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Nalini Yasoda Hirimuthugoda
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Faculty of Agriculture, University of Ruhuna, Matara, Sri Lanka
| | - Hidayat Ashari
- Museum Zoologicum Bogoriense, Research Center for Biology, Indonesian Institute of Science (LIPI), Cibinong, Indonesia
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China
| | - Sri Suladari
- Museum Zoologicum Bogoriense, Research Center for Biology, Indonesian Institute of Science (LIPI), Cibinong, Indonesia
| | - Moch Syamsul Arifin Zein
- Museum Zoologicum Bogoriense, Research Center for Biology, Indonesian Institute of Science (LIPI), Cibinong, Indonesia
| | - Szilvia Kusza
- Institute of Animal Husbandry, Biotechnology and Nature Conservation, University of Debrecen, Debrecen, Hungary
| | - Saeed Sohrabi
- Department of Animal Science, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Hamed Kharrati-Koopaee
- Department of Animal Science, Shahid Bahonar University of Kerman, Kerman, Iran
- Institute of Biotechnology, School of Agriculture, Shiraz University, Shiraz, Iran
| | - Quan-Kuan Shen
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Lin Zeng
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Min-Min Yang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Ya-Jiang Wu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- State Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, Yunnan, China
| | - Xing-Yan Yang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- State Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, Yunnan, China
| | - Xue-Mei Lu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Xin-Zheng Jia
- Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi, Kenya
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Qing-Hua Nie
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Susan Joy Lamont
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - Emiliano Lasagna
- Dipartimento di Scienze Agrarie, Alimentarie Ambientali, University of Perugia, Perugia, Italy
| | - Simone Ceccobelli
- Dipartimento di Scienze Agrarie, Alimentarie Ambientali, University of Perugia, Perugia, Italy
| | | | | | - Shao-Hong Feng
- BGI-Shenzhen, Beishan Industrial Zone, Shenzhen, Guangdong, China
| | - Jing-Fang Si
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Hao Zhang
- Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jie-Qiong Jin
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Southeast Asia Biodiversity Research Institute, Chinese Academy of Sciences (CAS-SEABRI), Yezin, Myanmar
| | - Ming-Li Li
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Yan-Hu Liu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Hong-Man Chen
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Cheng Ma
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | - Shan-Shan Dai
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China
| | | | | | | | - Thi-Thuy Le
- National Institute of Animal Husbandry, Hanoi, Vietnam
| | - Okeyo Ally Mwai
- Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi, Kenya
| | | | - Megan Supple
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA, 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
| | - Olivier Hanotte
- Cells, Organisms and Molecular Genetics, School of Life Sciences, University of Nottingham, Nottingham, UK
- Livestock Genetics Program, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia
| | - Guojie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China
- Department of Biology, Centre for Social Evolution, University of Copenhagen, Copenhagen, Denmark
- China National Genebank, BGI-Shenzhen, Shenzhen, Guangdong, China
| | - Greger Larson
- The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - 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.
- Livestock Genetics Program, International Livestock Research Institute (ILRI), Nairobi, Kenya.
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China.
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, Yunnan, China.
- State Key Laboratory for Conservation and Utilization of Bio-resource, Yunnan University, Kunming, Yunnan, China.
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55
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Barrera-Redondo J, Piñero D, Eguiarte LE. Genomic, Transcriptomic and Epigenomic Tools to Study the Domestication of Plants and Animals: A Field Guide for Beginners. Front Genet 2020; 11:742. [PMID: 32760427 PMCID: PMC7373799 DOI: 10.3389/fgene.2020.00742] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 06/22/2020] [Indexed: 01/07/2023] Open
Abstract
In the last decade, genomics and the related fields of transcriptomics and epigenomics have revolutionized the study of the domestication process in plants and animals, leading to new discoveries and new unresolved questions. Given that some domesticated taxa have been more studied than others, the extent of genomic data can range from vast to nonexistent, depending on the domesticated taxon of interest. This review is meant as a rough guide for students and academics that want to start a domestication research project using modern genomic tools, as well as for researchers already conducting domestication studies that are interested in following a genomic approach and looking for alternate strategies (cheaper or more efficient) and future directions. We summarize the theoretical and technical background needed to carry out domestication genomics, starting from the acquisition of a reference genome and genome assembly, to the sampling design for population genomics, paleogenomics, transcriptomics, epigenomics and experimental validation of domestication-related genes. We also describe some examples of the aforementioned approaches and the relevant discoveries they made to understand the domestication of the studied taxa.
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Affiliation(s)
| | | | - Luis E. Eguiarte
- Departamento de Ecología Evolutiva, Instituto de Ecología, Universidad Nacional Autónoma de México, Mexico City, Mexico
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56
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Abstract
High-quality genomic tools have been integral in understanding genomic architecture and function in the modern-day horse. The equine genetics community has a long tradition of pooling resources to develop genomic tools. Since the equine genome was sequenced in 2006, several iterations of high throughput genotyping arrays have been developed and released, enabling rapid and cost-effective genotyping. This review highlights the design considerations of each iteration, focusing on data available during development and outlining considerations in selecting the genetic variants included on each array. Additionally, we outline recent applications of equine genotyping arrays as well as future prospects and applications.
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Affiliation(s)
- Robert J Schaefer
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, 1365 Gortner Avenue, St Paul, MN 55108, USA.
| | - Molly E McCue
- Department of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, 1365 Gortner Avenue, St Paul, MN 55108, USA. https://twitter.com/Molly_McCue_DVM
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57
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Huber CD, Kim BY, Lohmueller KE. Population genetic models of GERP scores suggest pervasive turnover of constrained sites across mammalian evolution. PLoS Genet 2020; 16:e1008827. [PMID: 32469868 PMCID: PMC7286533 DOI: 10.1371/journal.pgen.1008827] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 06/10/2020] [Accepted: 05/05/2020] [Indexed: 01/20/2023] Open
Abstract
Comparative genomic approaches have been used to identify sites where mutations are under purifying selection and of functional consequence by searching for sequences that are conserved across distantly related species. However, the performance of these approaches has not been rigorously evaluated under population genetic models. Further, short-lived functional elements may not leave a footprint of sequence conservation across many species. We use simulations to study how one measure of conservation, the Genomic Evolutionary Rate Profiling (GERP) score, relates to the strength of selection (Nes). We show that the GERP score is related to the strength of purifying selection. However, changes in selection coefficients or functional elements over time (i.e. functional turnover) can strongly affect the GERP distribution, leading to unexpected relationships between GERP and Nes. Further, we show that for functional elements that have a high turnover rate, adding more species to the analysis does not necessarily increase statistical power. Finally, we use the distribution of GERP scores across the human genome to compare models with and without turnover of sites where mutations are under purifying selection. We show that mutations in 4.51% of the noncoding human genome are under purifying selection and that most of this sequence has likely experienced changes in selection coefficients throughout mammalian evolution. Our work reveals limitations to using comparative genomic approaches to identify deleterious mutations. Commonly used GERP score thresholds miss over half of the noncoding sites in the human genome where mutations are under purifying selection. One of the most significant and challenging tasks in modern genomics is to assess the functional consequences of a particular nucleotide change in a genome. A common approach to address this challenge prioritizes sequences that share similar nucleotides across distantly related species, with the rationale that mutations at such positions were deleterious and removed from the population by purifying natural selection. Our manuscript shows that one popular measure of sequence conservation, the GERP score, performs well at identifying selected mutations if mutations at a site were under selection across all of mammalian evolution. Changes in selection at a given site dramatically reduces the power of GERP to detect selected mutations in humans. We also combine population genetic models with the distribution of GERP scores at noncoding sites across the human genome to show that the degree of selection at individual sites has changed throughout mammalian evolution. Importantly, we demonstrate that at least 80 Mb of noncoding sequence under purifying selection in humans will not have extreme GERP scores and will likely be missed by modern comparative genomic approaches. Our work argues that new approaches, potentially based on genetic variation within species, will be required to identify deleterious mutations.
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Affiliation(s)
- Christian D. Huber
- School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Bernard Y. Kim
- Department of Biology, Stanford University, Stanford, California, United States of America
| | - Kirk E. Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, United States of America
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, California, United States of America
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, United States of America
- * E-mail:
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58
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Funk SM, Guedaoura S, Juras R, Raziq A, Landolsi F, Luís C, Martínez AM, Musa Mayaki A, Mujica F, Oom MDM, Ouragh L, Stranger Y, Vega‐Pla JL, Cothran EG. Major inconsistencies of inferred population genetic structure estimated in a large set of domestic horse breeds using microsatellites. Ecol Evol 2020; 10:4261-4279. [PMID: 32489595 PMCID: PMC7246218 DOI: 10.1002/ece3.6195] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 01/22/2020] [Accepted: 01/27/2020] [Indexed: 11/10/2022] Open
Abstract
STRUCTURE remains the most applied software aimed at recovering the true, but unknown, population structure from microsatellite or other genetic markers. About 30% of structure-based studies could not be reproduced (Molecular Ecology, 21, 2012, 4925). Here we use a large set of data from 2,323 horses from 93 domestic breeds plus the Przewalski horse, typed at 15 microsatellites, to evaluate how program settings impact the estimation of the optimal number of population clusters K opt that best describe the observed data. Domestic horses are suited as a test case as there is extensive background knowledge on the history of many breeds and extensive phylogenetic analyses. Different methods based on different genetic assumptions and statistical procedures (dapc, flock, PCoA, and structure with different run scenarios) all revealed general, broad-scale breed relationships that largely reflect known breed histories but diverged how they characterized small-scale patterns. structure failed to consistently identify K opt using the most widespread approach, the ΔK method, despite very large numbers of MCMC iterations (3,000,000) and replicates (100). The interpretation of breed structure over increasing numbers of K, without assuming a K opt, was consistent with known breed histories. The over-reliance on K opt should be replaced by a qualitative description of clustering over increasing K, which is scientifically more honest and has the advantage of being much faster and less computer intensive as lower numbers of MCMC iterations and repetitions suffice for stable results. Very large data sets are highly challenging for cluster analyses, especially when populations with complex genetic histories are investigated.
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Affiliation(s)
- Stephan Michael Funk
- Centro de Excelencia de Modelación y Computación CientíficaUniversidad de La FronteraTemucoChile
- Nature HeritageSt. LawrenceUK
| | - Sonya Guedaoura
- Faculté des Sciences de la Nature et de la VieUniversité d'El‐TarfEl‐TarfAlgeria
- Faculté de PharmacieUniversité LavalQuébec CityQCCanada
| | - Rytis Juras
- College of Veterinary Medicine and Biomedical ScienceTexas A&M UniversityCollege StationTXUSA
| | - Absul Raziq
- Society of Veterinary, Environment and Agriculture Scientists (SAVES)QuettaPakistan
| | | | - Cristina Luís
- Centro Interuniversitário de História das Ciências e da Tecnologia (CIUHCT)Faculdade de CiênciasUniversidade de LisboaLisboaPortugal
| | | | | | - Fernando Mujica
- Instituto de Producción AnimalUniversidad Austral de ChileValdiviaChile
| | - Maria do Mar Oom
- CE3C – Centre for Ecology, Evolution and Environmental ChangesFaculdade de CiênciasUniversidade de LisboaLisboaPortugal
| | | | | | - Jose Luis Vega‐Pla
- Laboratorio de Investigación AplicadaCrıa Caballar de las Fuerzas ArmadasCordobaSpain
| | - Ernest Gus Cothran
- College of Veterinary Medicine and Biomedical ScienceTexas A&M UniversityCollege StationTXUSA
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59
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Whole genome detection of sequence and structural polymorphism in six diverse horses. PLoS One 2020; 15:e0230899. [PMID: 32271776 PMCID: PMC7144971 DOI: 10.1371/journal.pone.0230899] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Accepted: 03/12/2020] [Indexed: 12/30/2022] Open
Abstract
The domesticated horse has played a unique role in human history, serving not just as a source of animal protein, but also as a catalyst for long-distance migration and military conquest. As a result, the horse developed unique physiological adaptations to meet the demands of both their climatic environment and their relationship with man. Completed in 2009, the first domesticated horse reference genome assembly (EquCab 2.0) produced most of the publicly available genetic variations annotations in this species. Yet, there are around 400 geographically and physiologically diverse breeds of horse. To enrich the current collection of genetic variants in the horse, we sequenced whole genomes from six horses of six different breeds: an American Miniature, a Percheron, an Arabian, a Mangalarga Marchador, a Native Mongolian Chakouyi, and a Tennessee Walking Horse, and mapped them to EquCab3.0 genome. Aside from extreme contrasts in body size, these breeds originate from diverse global locations and each possess unique adaptive physiology. A total of 1.3 billion reads were generated for the six horses with coverage between 15x to 24x per horse. After applying rigorous filtration, we identified and functionally annotated 17,514,723 Single Nucleotide Polymorphisms (SNPs), and 1,923,693 Insertions/Deletions (INDELs), as well as an average of 1,540 Copy Number Variations (CNVs) and 3,321 Structural Variations (SVs) per horse. Our results revealed putative functional variants including genes associated with size variation like LCORL gene (found in all horses), ZFAT in the Arabian, American Miniature and Percheron horses and ANKRD1 in the Native Mongolian Chakouyi horse. We detected a copy number variation in the Latherin gene that may be the result of evolutionary selection impacting thermoregulation by sweating, an important component of athleticism and heat tolerance. The newly discovered variants were formatted into user-friendly browser tracks and will provide a foundational database for future studies of the genetic underpinnings of diverse phenotypes within the horse. The domesticated horse played a unique role in human history, serving not just as a source of dietary animal protein, but also as a catalyst for long-distance migration and military conquest. As a result, the horse developed unique physiological adaptations to meet the demands of both their climatic environment and their relationship with man. Although the completion of the horse reference genome allowed for the discovery of many genetic variants, the remarkable diversity across breeds of horse calls for additional effort to quantify the complete span of genetic polymorphism within this unique species. In this work, we present genome re-sequencing and variant detection analysis for six horses belonging to six different breeds representing different morphology, origins and vary in their physiological demands and response. We identified and annotated not just single nucleotide polymorphisms (SNPs), but also insertions and deletions (INDELs), copy number variations (CNVs) and structural variations (SVs). Our results illustrate novel sources of polymorphism and highlight potentially impactful variations for phenotypes of body size and conformation. We also detected a copy number loss in the Latherin gene that could be the result of an evolutionary selection affecting thermoregulation through sweating. Our newly discovered variants were formatted into easy-to-use tracks that can be easily accessed by researchers around the globe.
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Todd ET, Hamilton NA, Velie BD, Thomson PC. The effects of inbreeding on covering success, gestation length and foal sex ratio in Australian thoroughbred horses. BMC Genet 2020; 21:41. [PMID: 32268877 PMCID: PMC7140579 DOI: 10.1186/s12863-020-00847-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Accepted: 03/24/2020] [Indexed: 11/10/2022] Open
Abstract
Background Horses produce only one foal from an eleven-month gestation period, making the maintenance of high reproductive rates essential. Genetic bottlenecks and inbreeding can increase the frequency of deleterious variants, resulting in reduced reproductive levels in a population. In this study we examined the influence of inbreeding levels on foaling rate, gestation length and secondary sex ratio in Australian Thoroughbred mares. We also investigated the genetic change in these traits throughout the history of the breed. Phenotypic data were obtained from 27,262 breeding records of Thoroughbred mares provided by three Australian stud farms. Inbreeding was estimated using the pedigree of each individual dating back to the foundation of the breed in the eighteenth century. Results While both gestation length and foaling rate were heritable, no measurable effect of inbreeding on either trait was found. However, we did find that the genetic value for both traits had decreased within recent generations. A number of environmental factors also had significant effects on foaling rate and gestation length. Secondary sex ratio had only an extremely small paternal heritable effect and was not susceptible to environmental influences. Conclusions In contrast to racing performance, inbreeding had no measurable effect on foaling rate or gestation length in Australian Thoroughbred horses. This could be because the level of inbreeding in the population examined is not high enough to show a discernible effect on reproductive traits. Populations that experience higher levels of inbreeding due to use of artificial reproductive technologies or extremely small population sizes may show a more pronounced reduction in natural foaling rate or gestation length. It is also possible that the intensive management techniques used in the Thoroughbred population masks any negative effects of inbreeding. The decrease in the genetic value of foaling rate is likely to be because horses with unfavourable genetic potential have not yet been selected out of the population. The change in genetic value of gestation length may be due to selective breeding favouring horses with shorter pregnancies. We also found that prioritising the mating of older mares, and avoiding out of season mating could lead to an increased breeding success.
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Affiliation(s)
- Evelyn T Todd
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia.
| | - Natasha A Hamilton
- Racing Australia Equine Genetics Research Centre, Racing Australia, Sydney, NSW, 2000, Australia
| | - Brandon D Velie
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
| | - Peter C Thomson
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, 2006, Australia
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61
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Abstract
The domestication of animals led to a major shift in human subsistence patterns, from a hunter-gatherer to a sedentary agricultural lifestyle, which ultimately resulted in the development of complex societies. Over the past 15,000 years, the phenotype and genotype of multiple animal species, such as dogs, pigs, sheep, goats, cattle and horses, have been substantially altered during their adaptation to the human niche. Recent methodological innovations, such as improved ancient DNA extraction methods and next-generation sequencing, have enabled the sequencing of whole ancient genomes. These genomes have helped reconstruct the process by which animals entered into domestic relationships with humans and were subjected to novel selection pressures. Here, we discuss and update key concepts in animal domestication in light of recent contributions from ancient genomics.
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Lukić B, Ferenčaković M, Šalamon D, Čačić M, Orehovački V, Iacolina L, Curik I, Cubric-Curik V. Conservation Genomic Analysis of the Croatian Indigenous Black Slavonian and Turopolje Pig Breeds. Front Genet 2020; 11:261. [PMID: 32296459 PMCID: PMC7136467 DOI: 10.3389/fgene.2020.00261] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 03/05/2020] [Indexed: 12/19/2022] Open
Abstract
The majority of the nearly 400 existing local pig breeds are adapted to specific environments and human needs. The demand for large production quantities and the industrialized pig production have caused a rapid decline of many local pig breeds in recent decades. Black Slavonian pig and Turopolje pig, the latter highly threatened, are the two Croatian local indigenous breeds typically grown in extensive or semi-intensive systems. In order to guide a long-term breeding program to prevent the disappearance of these breeds, we analyzed their genetic diversity, inbreeding level and relationship with other local breeds across the world, as well as modern breeds and several wild populations, using high throughput genomic data obtained using the Illumina Infinium PorcineSNP60 v2 BeadChip. Multidimensional scaling analysis positioned Black Slavonian pigs close to the UK/North American breeds, while the Turopolje pig clustered within the Mediterranean breeds. Turopolje pig showed a very high inbreeding level (FROH>4Mb = 0.400 and FROH>8Mb = 0.332) that considerably exceeded the level of full-sib mating, while Black Slavonian pig showed much lower inbreeding (FROH>4Mb = 0.098 and FROH>8Mb = 0.074), indicating a planned mating strategy. In Croatian local breeds we identified several genome regions showing adaptive selection signals that were not present in commercial breeds. The results obtained in this study reflect the current genetic status and breeding management of the two Croatian indigenous local breeds. Given the small populations of both breeds, a controlled management activity has been implemented in Black Slavonian pigs since their commercial value has been recognized. In contrast, the extremely high inbreeding level observed in Turopolje pig argues for an urgent conservation plan with a long-term, diversity-oriented breeding program.
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Affiliation(s)
- Boris Lukić
- Department for Animal Production and Biotechnology, Faculty of Agrobiotechnical Sciences Osijek, J.J. Strossmayer University of Osijek, Osijek, Croatia
| | - Maja Ferenčaković
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Dragica Šalamon
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Mato Čačić
- Ministry of Agriculture, Zagreb, Croatia
| | | | - Laura Iacolina
- Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.,Department for Apiculture, Wildlife Management and Special Zoology, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Ino Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
| | - Vlatka Cubric-Curik
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Zagreb, Croatia
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63
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Hou Y, Qi F, Bai X, Ren T, Shen X, Chu Q, Zhang X, Lu X. Genome-wide analysis reveals molecular convergence underlying domestication in 7 bird and mammals. BMC Genomics 2020; 21:204. [PMID: 32131728 PMCID: PMC7057487 DOI: 10.1186/s12864-020-6613-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2019] [Accepted: 02/24/2020] [Indexed: 12/19/2022] Open
Abstract
Background In response to ecological niche of domestication, domesticated mammals and birds developed adaptively phenotypic homoplasy in behavior modifications like fearlessness, altered sociability, exploration and cognition, which partly or indirectly result in consequences for economic productivity. Such independent adaptations provide an excellent model to investigate molecular mechanisms and patterns of evolutionary convergence driven by artificial selection. Results First performing population genomic and brain transcriptional comparisons in 68 wild and domesticated chickens, we revealed evolutionary trajectories, genetic architectures and physiologic bases of adaptively behavioral alterations. To extensively decipher molecular convergence on behavioral changes thanks to domestication, we investigated selection signatures in hundreds of genomes and brain transcriptomes across chicken and 6 other domesticated mammals. Although no shared substitution was detected, a common enrichment of the adaptive mutations in regulatory sequences was observed, presenting significance to drive adaptations. Strong convergent pattern emerged at levels of gene, gene family, pathway and network. Genes implicated in neurotransmission, semaphorin, tectonic protein and modules regulating neuroplasticity were central focus of selection, supporting molecular repeatability of homoplastic behavior reshapes. Genes at nodal positions in trans-regulatory networks were preferably targeted. Consistent down-regulation of majority brain genes may be correlated with reduced brain size during domestication. Up-regulation of splicesome genes in chicken rather mammals highlights splicing as an efficient way to evolve since avian-specific genomic contraction of introns and intergenics. Genetic burden of domestication elicits a general hallmark. The commonly selected genes were relatively evolutionary conserved and associated with analogous neuropsychiatric disorders in human, revealing trade-off between adaption to life with human at the cost of neural changes affecting fitness in wild. Conclusions After a comprehensive investigation on genomic diversity and evolutionary trajectories in chickens, we revealed basis, pattern and evolutionary significance of molecular convergence in domesticated bird and mammals, highlighted the genetic basis of a compromise on utmost adaptation to the lives with human at the cost of high risk of neurophysiological changes affecting animals’ fitness in wild.
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Affiliation(s)
- Yali Hou
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China. .,China National Center for Bioinformation, Beijing, People's Republic of China.
| | - Furong Qi
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,China National Center for Bioinformation, Beijing, People's Republic of China.,University of Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Xue Bai
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China.,China National Center for Bioinformation, Beijing, People's Republic of China
| | - Tong Ren
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Xu Shen
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Qin Chu
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing, People's Republic of China
| | - Xiquan Zhang
- Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, and Key Lab of Chicken Genetics, Breeding and Reproduction, Ministry of Agriculture, South China Agricultural University, Guangzhou, People's Republic of China.
| | - Xuemei Lu
- Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, People's Republic of China. .,University of Chinese Academy of Sciences, Beijing, People's Republic of China. .,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, People's Republic of China.
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64
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Bortoluzzi C, Bosse M, Derks MFL, Crooijmans RPMA, Groenen MAM, Megens H. The type of bottleneck matters: Insights into the deleterious variation landscape of small managed populations. Evol Appl 2020; 13:330-341. [PMID: 31993080 PMCID: PMC6976952 DOI: 10.1111/eva.12872] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 09/06/2019] [Accepted: 09/11/2019] [Indexed: 12/19/2022] Open
Abstract
Predictions about the consequences of a small population size on genetic and deleterious variation are fundamental to population genetics. As small populations are more affected by genetic drift, purifying selection acting against deleterious alleles is predicted to be less efficient, therefore increasing the risk of inbreeding depression. However, the extent to which small populations are subjected to genetic drift depends on the nature and time frame in which the bottleneck occurs. Domesticated species are an excellent model to investigate the consequences of population bottlenecks on genetic and deleterious variation in small populations. This is because their history is dominated by known bottlenecks associated with domestication, breed formation and intense selective breeding. Here, we use whole-genome sequencing data from 97 chickens representing 39 traditional fancy breeds to directly examine the consequences of two types of bottlenecks for deleterious variation: the severe domestication bottleneck and the recent population decline accompanying breed formation. We find that recently bottlenecked populations have a higher proportion of deleterious variants relative to populations that have been kept at small population sizes since domestication. We also observe that long tracts of homozygous genotypes (runs of homozygosity) are proportionally more enriched in deleterious variants than the rest of the genome. This enrichment is particularly evident in recently bottlenecked populations, suggesting that homozygosity of these variants is likely to occur due to genetic drift and recent inbreeding. Our results indicate that the timing and nature of population bottlenecks can substantially shape the deleterious variation landscape in small populations.
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Affiliation(s)
- Chiara Bortoluzzi
- Department of Animal Sciences, Animal Breeding and GenomicsWageningen University & ResearchGelderlandThe Netherlands
| | - Mirte Bosse
- Department of Animal Sciences, Animal Breeding and GenomicsWageningen University & ResearchGelderlandThe Netherlands
| | - Martijn F. L. Derks
- Department of Animal Sciences, Animal Breeding and GenomicsWageningen University & ResearchGelderlandThe Netherlands
| | - Richard P. M. A. Crooijmans
- Department of Animal Sciences, Animal Breeding and GenomicsWageningen University & ResearchGelderlandThe Netherlands
| | - Martien A. M. Groenen
- Department of Animal Sciences, Animal Breeding and GenomicsWageningen University & ResearchGelderlandThe Netherlands
| | - Hendrik‐Jan Megens
- Department of Animal Sciences, Animal Breeding and GenomicsWageningen University & ResearchGelderlandThe Netherlands
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65
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Thomas F, Giraudeau M, Dheilly NM, Gouzerh F, Boutry J, Beckmann C, Biro PA, Hamede R, Abadie J, Labrut S, Bieuville M, Misse D, Bramwell G, Schultz A, Le Loc'h G, Vincze O, Roche B, Renaud F, Russell T, Ujvari B. Rare and unique adaptations to cancer in domesticated species: An untapped resource? Evol Appl 2020. [DOI: 10.1111/eva.12920] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Frédéric Thomas
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
| | - Mathieu Giraudeau
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
| | - Nolwenn M. Dheilly
- School of Marine and Atmospheric Sciences Stony Brook University Stony Brook NY USA
| | - Flora Gouzerh
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
| | - Justine Boutry
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
| | - Christa Beckmann
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia
- School of Science Western Sydney UniversityParramatta NSW Australia
| | - Peter A. Biro
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia
| | - Rodrigo Hamede
- School of Natural Sciences University of Tasmania Hobart TAS Australia
| | | | | | - Margaux Bieuville
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
| | - Dorothée Misse
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
| | - Georgina Bramwell
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia
| | - Aaron Schultz
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia
| | - Guillaume Le Loc'h
- Clinique des NAC et de la Faune Sauvage, UMR IHAP École Nationale Vétérinaire de Toulouse Toulouse France
| | - Orsolya Vincze
- Hungarian Department of Biology and Ecology Evolutionary Ecology Group Babeş‐Bolyai University Cluj‐Napoca Romania
- Department of Tisza Research MTA Centre for Ecological Research‐DRI Debrecen Hungary
| | - Benjamin Roche
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
- Unité mixte Internationale de Modélisation Mathématique et Informatique des Systèmes Complexes UMI IRD/Sorbonne UniversitéUMMISCO Bondy France
| | - François Renaud
- CREECUMR IRD 224‐CNRS 5290‐Université de Montpellier Montpellier France
| | - Tracey Russell
- School of Life and Environmental Sciences The University of Sydney Sydney NSW Australia
| | - Beata Ujvari
- Centre for Integrative Ecology School of Life and Environmental Sciences Deakin University Waurn Ponds VIC Australia
- School of Natural Sciences University of Tasmania Hobart TAS Australia
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66
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Schrimpf A, Single MS, Nawroth C. Social Referencing in the Domestic Horse. Animals (Basel) 2020; 10:E164. [PMID: 31963699 PMCID: PMC7022515 DOI: 10.3390/ani10010164] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 01/06/2020] [Accepted: 01/13/2020] [Indexed: 11/21/2022] Open
Abstract
Dogs and cats use human emotional information directed to an unfamiliar situation to guide their behavior, known as social referencing. It is not clear whether other domestic species show similar socio-cognitive abilities in interacting with humans. We investigated whether horses (n = 46) use human emotional information to adjust their behavior to a novel object and whether the behavior of horses differed depending on breed type. Horses were randomly assigned to one of two groups: an experimenter positioned in the middle of a test arena directed gaze and voice towards the novel object with either (a) a positive or (b) a negative emotional expression. The duration of subjects' position to the experimenter and the object in the arena, frequency of gazing behavior, and physical interactions (with either object or experimenter) were analyzed. Horses in the positive condition spent more time between the experimenter and object compared to horses in the negative condition, indicating less avoidance behavior towards the object. Horses in the negative condition gazed more often towards the object than horses in the positive condition, indicating increased vigilance behavior. Breed types differed in their behavior: thoroughbreds showed less human-directed behavior than warmbloods and ponies. Our results provide evidence that horses use emotional cues from humans to guide their behavior towards novel objects.
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Affiliation(s)
- Anne Schrimpf
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, 04103 Leipzig, Germany
| | - Marie-Sophie Single
- Physiology Weihenstephan, Technical University of Munich, 85354 Freising, Germany;
| | - Christian Nawroth
- Leibniz Institute for Farm Animal Biology, Institute of Behavioural Physiology, 18196 Dummerstorf, Germany
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67
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Anastasiadi D, Piferrer F. Epimutations in Developmental Genes Underlie the Onset of Domestication in Farmed European Sea Bass. Mol Biol Evol 2020; 36:2252-2264. [PMID: 31289822 PMCID: PMC6759067 DOI: 10.1093/molbev/msz153] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Domestication of wild animals induces a set of phenotypic characteristics collectively known as the domestication syndrome. However, how this syndrome emerges is still not clear. Recently, the neural crest cell deficit hypothesis proposed that it is generated by a mildly disrupted neural crest cell developmental program, but clear support is lacking due to the difficulties of distinguishing pure domestication effects from preexisting genetic differences between farmed and wild mammals and birds. Here, we use a farmed fish as model to investigate the role of persistent changes in DNA methylation (epimutations) in the process of domestication. We show that early domesticates of sea bass, with no genetic differences with wild counterparts, contain epimutations in tissues with different embryonic origins. About one fifth of epimutations that persist into adulthood are established by the time of gastrulation and affect genes involved in developmental processes that are expressed in embryonic structures, including the neural crest. Some of these genes are differentially expressed in sea bass with lower jaw malformations, a key feature of domestication syndrome. Interestingly, these epimutations significantly overlap with cytosine-to-thymine polymorphisms after 25 years of selective breeding. Furthermore, epimutated genes coincide with genes under positive selection in other domesticates. We argue that the initial stages of domestication include dynamic alterations in DNA methylation of developmental genes that affect the neural crest. Our results indicate a role for epimutations during the beginning of domestication that could be fixed as genetic variants and suggest a conserved molecular process to explain Darwin’s domestication syndrome across vertebrates.
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Affiliation(s)
- Dafni Anastasiadi
- Institut de Ciències del Mar, Spanish National Research Council (CSIC), Barcelona, Spain.,The New Zealand Institute for Plant & Food Research, Nelson, New Zealand
| | - Francesc Piferrer
- Institut de Ciències del Mar, Spanish National Research Council (CSIC), Barcelona, Spain
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68
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Glutamate receptors in domestication and modern human evolution. Neurosci Biobehav Rev 2020; 108:341-357. [DOI: 10.1016/j.neubiorev.2019.10.004] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Revised: 09/28/2019] [Accepted: 10/07/2019] [Indexed: 02/08/2023]
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69
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Parker TA, Berny Mier Y Teran JC, Palkovic A, Jernstedt J, Gepts P. Pod indehiscence is a domestication and aridity resilience trait in common bean. THE NEW PHYTOLOGIST 2020; 225:558-570. [PMID: 31486530 DOI: 10.1111/nph.16164] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2019] [Accepted: 08/14/2019] [Indexed: 05/05/2023]
Abstract
Plant domestication has strongly modified crop morphology and development. Nevertheless, many crops continue to display atavistic characteristics that were advantageous to their wild ancestors but are deleterious under cultivation, such as pod dehiscence (PD). Here, we provide the first comprehensive assessment of the inheritance of PD in the common bean (Phaseolus vulgaris), a major domesticated grain legume. Using three methods to evaluate the PD phenotype, we identified multiple, unlinked genetic regions controlling PD in a biparental population and two diversity panels. Subsequently, we assessed patterns of orthology among these loci and those controlling the trait in other species. Our results show that different genes were selected in each domestication and ecogeographic race. A chromosome Pv03 dirigent-like gene, involved in lignin biosynthesis, showed a base-pair substitution that is associated with decreased PD. This haplotype may underlie the expansion of Mesoamerican domesticates into northern Mexico, where arid conditions promote PD. The rise in frequency of the decreased-PD haplotype may be a consequence of the markedly different fitness landscape imposed by domestication. Environmental dependency and genetic redundancy can explain the maintenance of atavistic traits under domestication.
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Affiliation(s)
- Travis A Parker
- Department of Plant Sciences / MS1, Section of Crop & Ecosystem Sciences, University of California, 1 Shields Avenue, Davis, CA, 95616-8780, USA
| | - Jorge C Berny Mier Y Teran
- Department of Plant Sciences / MS1, Section of Crop & Ecosystem Sciences, University of California, 1 Shields Avenue, Davis, CA, 95616-8780, USA
| | - Antonia Palkovic
- Department of Plant Sciences / MS1, Section of Crop & Ecosystem Sciences, University of California, 1 Shields Avenue, Davis, CA, 95616-8780, USA
| | - Judy Jernstedt
- Department of Plant Sciences / MS1, Section of Crop & Ecosystem Sciences, University of California, 1 Shields Avenue, Davis, CA, 95616-8780, USA
| | - Paul Gepts
- Department of Plant Sciences / MS1, Section of Crop & Ecosystem Sciences, University of California, 1 Shields Avenue, Davis, CA, 95616-8780, USA
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70
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Benítez-Burraco A. Genes Positively Selected in Domesticated Mammals Are Significantly Dysregulated in the Blood of Individuals with Autism Spectrum Disorders. Mol Syndromol 2020; 10:306-312. [PMID: 32021604 PMCID: PMC6995977 DOI: 10.1159/000505116] [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: 11/15/2019] [Indexed: 12/27/2022] Open
Abstract
Human self-domestication (i.e., the presence of traits in our species that are commonly found in domesticated animals) has been hypothesized to have contributed to the emergence of many human-specific features, including aspects of our cognition and behavior. Signs of self-domestication have been claimed to be attenuated in individuals with autism spectrum disorders (ASD), this conceivably accounting for facets of their distinctive cognitive and behavioral profile, although this possibility needs to be properly tested. In this study, we have found that candidate genes for mammal domestication, but not for neural crest development and function, are significantly dysregulated in the blood of subjects with ASD. The set of differentially expressed genes (DEGs) is enriched in biological and molecular processes, as well as in pathological phenotypes, of relevance for the etiology of ASD, like lipid metabolism, cell apoptosis, the activity of the insulin-like growth factor, gene expression regulation, skin/hair anomalies, musculoskeletal abnormalities, and hearing impairment. Moreover, among the DEGs, there are known candidates for ASD and/or genes involved in biological processes known to be affected in ASD. Our findings give support to the view that one important aspect of the etiopathogenesis of ASD is the abnormal manifestation of features of human self-domestication.
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Affiliation(s)
- Antonio Benítez-Burraco
- Department of Spanish, Linguistics, and Theory of Literature (Linguistics), Faculty of Philology, University of Seville, Seville, Spain
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71
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Nedoluzhko AV, Sharko FS, Boulygina ES, Tsygankova SV, Slobodova NV, Gruzdeva NM, Rastorguev SM, Spasskaya NN, Maschenko EN. The complete mitochondrial genome of the extinct Pleistocene horse (Equus cf. lenensis) from Kotelny Island (New Siberian Islands, Russia) and its phylogenetic assessment. MITOCHONDRIAL DNA PART B-RESOURCES 2019; 5:243-245. [PMID: 33366505 PMCID: PMC7748742 DOI: 10.1080/23802359.2019.1699877] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
The complete mitochondrial genome from the Pleistocene stallion horse (Equus cf. lenensis) which complete skull was found in 1901 on Kotelny Island (New Siberian Archipelago, Sakha Republic, Russia) is published in this paper. The mitochondrial DNA (mtDNA) is 16,584 base pairs (bp) in length and contained 13 protein-coding genes, 2 rRNA genes, 22 tRNA genes. The overall base composition of the genome in descending order was 32.3% - A, 28.5% - C, 13.4% - G, 25.8% - T without a significant AT bias of 58.2%.
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Affiliation(s)
| | - Fedor S Sharko
- National Research Centre Kurchatov Institute, Moscow, Russia.,Research Center of Biotechnology of the Russian Academy of Sciences, Institute of Bioengineering, Moscow, Russia
| | | | | | | | | | | | | | - Evgeny N Maschenko
- Borissiak Paleontological Institute, Russian Academy of Sciences, Moscow, Russia.,Academy of the Sciences Sakha (Yakutia) Republic, Yakutsk, Russia
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72
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Orlando L. Ancient Genomes Reveal Unexpected Horse Domestication and Management Dynamics. Bioessays 2019; 42:e1900164. [PMID: 31808562 DOI: 10.1002/bies.201900164] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Revised: 11/11/2019] [Indexed: 12/18/2022]
Abstract
The horse was essential to past human societies but became a recreational animal during the twentieth century as the world became increasingly mechanized. As the author reviews here, recent studies of ancient genomes have revisited the understanding of horse domestication, from the very early stages to the most modern developments. They have uncovered several extinct lineages roaming the far ends of Eurasia some 4000 years ago. They have shown that the domestic horse has been significantly reshaped during the last millennium and experienced a sharp decline in genetic diversity within the last two centuries. At a time when no truly wild horses exist any longer, this calls for enhanced conservation in all endangered populations. These include the Przewalski's horse native to Mongolia, and the many local breeds side-lined by the modern agenda, but yet representing the living heritage of over five millennia of horse breeding.
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Affiliation(s)
- Ludovic Orlando
- Laboratoire d'Anthropobiologie et d'Imagerie de Synthèse, CNRS UMR 5288, Faculté de Médecine de Purpan, 37 allées Jules Guesde, Bâtiment A, 31000, Toulouse, France.,The GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, 1350K, Copenhagen, Denmark
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73
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McHugo GP, Dover MJ, MacHugh DE. Unlocking the origins and biology of domestic animals using ancient DNA and paleogenomics. BMC Biol 2019; 17:98. [PMID: 31791340 PMCID: PMC6889691 DOI: 10.1186/s12915-019-0724-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 11/13/2019] [Indexed: 12/13/2022] Open
Abstract
Animal domestication has fascinated biologists since Charles Darwin first drew the parallel between evolution via natural selection and human-mediated breeding of livestock and companion animals. In this review we show how studies of ancient DNA from domestic animals and their wild progenitors and congeners have shed new light on the genetic origins of domesticates, and on the process of domestication itself. High-resolution paleogenomic data sets now provide unprecedented opportunities to explore the development of animal agriculture across the world. In addition, functional population genomics studies of domestic and wild animals can deliver comparative information useful for understanding recent human evolution.
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Affiliation(s)
- Gillian P McHugo
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, D04 V1W8, Ireland
| | - Michael J Dover
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, D04 V1W8, Ireland
| | - David E MacHugh
- Animal Genomics Laboratory, UCD School of Agriculture and Food Science, University College Dublin, Dublin, D04 V1W8, Ireland. .,UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 V1W8, Ireland.
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74
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Srikanth K, Kim NY, Park W, Kim JM, Kim KD, Lee KT, Son JH, Chai HH, Choi JW, Jang GW, Kim H, Ryu YC, Nam JW, Park JE, Kim JM, Lim D. Comprehensive genome and transcriptome analyses reveal genetic relationship, selection signature, and transcriptome landscape of small-sized Korean native Jeju horse. Sci Rep 2019; 9:16672. [PMID: 31723199 PMCID: PMC6853925 DOI: 10.1038/s41598-019-53102-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 10/18/2019] [Indexed: 12/16/2022] Open
Abstract
The Jeju horse, indigenous to the Jeju Island in Korea may have originated from Mongolian horses. Adaptations to the local harsh environment have conferred Jeju horse with unique traits such as small-sized body, stocky head, and shorter limbs. These characteristics have not been studied previously at the genomic level. Therefore, we sequenced and compared the genome of 41 horses belonging to 6 breeds. We identified numerous breed-specific non-synonymous SNPs and loss-of-function mutants. Demographic and admixture analyses showed that, though Jeju horse is genetically the closest to the Mongolian breeds, its genetic ancestry is independent of that of the Mongolian breeds. Genome wide selection signature analysis revealed that genes such as LCORL, MSTN, HMGA2, ZFAT, LASP1, PDK4, and ACTN2, were positively selected in the Jeju horse. RNAseq analysis showed that several of these genes were also differentially expressed in Jeju horse compared to Thoroughbred horse. Comparative muscle fiber analysis showed that, the type I muscle fibre content was substantially higher in Jeju horse compared to Thoroughbred horse. Our results provide insights about the selection of complex phenotypic traits in the small-sized Jeju horse and the novel SNPs identified will aid in designing high-density SNP chip for studying other native horse breeds.
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Affiliation(s)
- Krishnamoorthy Srikanth
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea
| | - Nam-Young Kim
- Subtropical Livestock Research Institute, National Institute of Animal Science, Rural Development Administration, Jeju-do, 63242, Republic of Korea
| | - WonCheoul Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea
| | - Jae-Min Kim
- Cancer Genetics and Comparative Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | | | - Kyung-Tai Lee
- Animal Breeding and Genetics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea
| | - Ju-Hwan Son
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea
| | - Han-Ha Chai
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea
| | - Jung-Woo Choi
- College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Gul-Won Jang
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea
| | | | - Youn-Chul Ryu
- Division of Biotechnology, Jeju National University, Jeju, 63243, Republic of Korea
| | - Jin-Wu Nam
- Department of Life Science, Hanyang University, Seoul, 133-791, Republic of Korea
| | - Jong-Eun Park
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea
| | - Jun-Mo Kim
- Department of Animal Science and Technology, College of Biotechnology and Natural Resources, Chung-Ang University, Ansung-si, 17546, Republic of Korea.
| | - Dajeong Lim
- Animal Genomics and Bioinformatics Division, National Institute of Animal Science, Rural Development Administration, Wanju, 55365, Republic of Korea.
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75
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Admixture in Mammals and How to Understand Its Functional Implications. Bioessays 2019; 41:e1900123. [DOI: 10.1002/bies.201900123] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 10/03/2019] [Indexed: 12/13/2022]
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76
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Raudsepp T, Finno CJ, Bellone RR, Petersen JL. Ten years of the horse reference genome: insights into equine biology, domestication and population dynamics in the post-genome era. Anim Genet 2019; 50:569-597. [PMID: 31568563 PMCID: PMC6825885 DOI: 10.1111/age.12857] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2019] [Indexed: 12/14/2022]
Abstract
The horse reference genome from the Thoroughbred mare Twilight has been available for a decade and, together with advances in genomics technologies, has led to unparalleled developments in equine genomics. At the core of this progress is the continuing improvement of the quality, contiguity and completeness of the reference genome, and its functional annotation. Recent achievements include the release of the next version of the reference genome (EquCab3.0) and generation of a reference sequence for the Y chromosome. Horse satellite‐free centromeres provide unique models for mammalian centromere research. Despite extremely low genetic diversity of the Y chromosome, it has been possible to trace patrilines of breeds and pedigrees and show that Y variation was lost in the past approximately 2300 years owing to selective breeding. The high‐quality reference genome has led to the development of three different SNP arrays and WGSs of almost 2000 modern individual horses. The collection of WGS of hundreds of ancient horses is unique and not available for any other domestic species. These tools and resources have led to global population studies dissecting the natural history of the species and genetic makeup and ancestry of modern breeds. Most importantly, the available tools and resources, together with the discovery of functional elements, are dissecting molecular causes of a growing number of Mendelian and complex traits. The improved understanding of molecular underpinnings of various traits continues to benefit the health and performance of the horse whereas also serving as a model for complex disease across species.
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Affiliation(s)
- T Raudsepp
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Research, Texas A&M University, College Station, TX, 77843, USA
| | - C J Finno
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, 95616, USA
| | - R R Bellone
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, 95616, USA.,School of Veterinary Medicine, Veterinary Genetics Laboratory, University of California-Davis, Davis, CA, 95616, USA
| | - J L Petersen
- Department of Animal Science, University of Nebraska, Lincoln, NE, 68583-0908, USA
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77
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Origin and Evolution of Deleterious Mutations in Horses. Genes (Basel) 2019; 10:genes10090649. [PMID: 31466279 PMCID: PMC6769756 DOI: 10.3390/genes10090649] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 08/24/2019] [Accepted: 08/26/2019] [Indexed: 01/04/2023] Open
Abstract
Domestication has changed the natural evolutionary trajectory of horses by favoring the reproduction of a limited number of animals showing traits of interest. Reduced breeding stocks hampered the elimination of deleterious variants by means of negative selection, ultimately inflating mutational loads. However, ancient genomics revealed that mutational loads remained steady during most of the domestication history until a sudden burst took place some 250 years ago. To identify the factors underlying this trajectory, we gather an extensive dataset consisting of 175 modern and 153 ancient genomes previously published, and carry out the most comprehensive characterization of deleterious mutations in horses. We confirm that deleterious variants segregated at low frequencies during the last 3500 years, and only spread and incremented their occurrence in the homozygous state during modern times, owing to inbreeding. This independently happened in multiple breeds, following both the development of closed studs and purebred lines, and the deprecation of horsepower in the 20th century, which brought many draft breeds close to extinction. Our work illustrates the paradoxical effect of some conservation and improvement programs, which reduced the overall genomic fitness and viability.
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78
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Gering E, Incorvaia D, Henriksen R, Wright D, Getty T. Maladaptation in feral and domesticated animals. Evol Appl 2019; 12:1274-1286. [PMID: 31417614 PMCID: PMC6691326 DOI: 10.1111/eva.12784] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Revised: 01/10/2019] [Accepted: 02/07/2019] [Indexed: 12/14/2022] Open
Abstract
Selection regimes and population structures can be powerfully changed by domestication and feralization, and these changes can modulate animal fitness in both captive and natural environments. In this review, we synthesize recent studies of these two processes and consider their impacts on organismal and population fitness. Domestication and feralization offer multiple windows into the forms and mechanisms of maladaptation. Firstly, domestic and feral organisms that exhibit suboptimal traits or fitness allow us to identify their underlying causes within tractable research systems. This has facilitated significant progress in our general understandings of genotype-phenotype relationships, fitness trade-offs, and the roles of population structure and artificial selection in shaping domestic and formerly domestic organisms. Additionally, feralization of artificially selected gene variants and organisms can reveal or produce maladaptation in other inhabitants of an invaded biotic community. In these instances, feral animals often show similar fitness advantages to other invasive species, but they are also unique in their capacities to modify natural ecosystems through introductions of artificially selected traits. We conclude with a brief consideration of how emerging technologies such as genome editing could change the tempos, trajectories, and ecological consequences of both domestication and feralization. In addition to providing basic evolutionary insights, our growing understanding of mechanisms through which artificial selection can modulate fitness has diverse and important applications-from enhancing the welfare, sustainability, and efficiency of agroindustry, to mitigating biotic invasions.
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Affiliation(s)
- Eben Gering
- Department of Integrative Biology and Ecology, Evolutionary Biology, and Behavior ProgramMichigan State UniversityEast LansingMichigan
| | - Darren Incorvaia
- Department of Integrative Biology and Ecology, Evolutionary Biology, and Behavior ProgramMichigan State UniversityEast LansingMichigan
| | - Rie Henriksen
- IIFM Biology and AVIAN Behavioural Genomics and Physiology GroupLinköping UniversitySweden
| | - Dominic Wright
- IIFM Biology and AVIAN Behavioural Genomics and Physiology GroupLinköping UniversitySweden
| | - Thomas Getty
- Department of Integrative Biology and Ecology, Evolutionary Biology, and Behavior ProgramMichigan State UniversityEast LansingMichigan
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79
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Fawcett JA, Sato F, Sakamoto T, Iwasaki WM, Tozaki T, Innan H. Genome-wide SNP analysis of Japanese Thoroughbred racehorses. PLoS One 2019; 14:e0218407. [PMID: 31339891 PMCID: PMC6655603 DOI: 10.1371/journal.pone.0218407] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 05/31/2019] [Indexed: 12/26/2022] Open
Abstract
The domestication process of plants and animals typically involves intense inbreeding and directional selection for various traits. Here, we genotyped 370 Japanese Thoroughbred horses using the recently developed 670k SNP array and performed various genome-wide analysis also using genotype data of other horse breeds. We identified a number of regions showing interesting patterns of polymorphisms. For instance, the region containing the MC1R locus associated with chestnut coat color may have been targeted by selection for a different mutation much earlier on than the recent selection for chestnut color. We also identified regions that show signatures of selection specific to Thoroughbreds. In addition, we found that intense inbreeding early in the history of the Thoroughbred breed and also before the formation of the breed has a significant impact on the genomic architecture of modern Thoroughbreds. Our study demonstrates that the horse 670k array can be utilized to gain important insight into the domestication process of horses and to understand the genetic basis of the phenotypic diversity in horses.
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Affiliation(s)
- Jeffrey A Fawcett
- SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa 240-0193, Japan.,RIKEN iTHEMS, Wako, Saitama 351-0198, Japan
| | - Fumio Sato
- Hidaka Training and Research Center, Japan Racing Association, Hokkaido 057-0171, Japan
| | - Takahiro Sakamoto
- SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa 240-0193, Japan
| | - Watal M Iwasaki
- SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa 240-0193, Japan
| | - Teruaki Tozaki
- Genetic Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Tochigi 320-0851, Japan
| | - Hideki Innan
- SOKENDAI (The Graduate University for Advanced Studies), Hayama, Kanagawa 240-0193, Japan
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80
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Renaud G, Hanghøj K, Korneliussen TS, Willerslev E, Orlando L. Joint Estimates of Heterozygosity and Runs of Homozygosity for Modern and Ancient Samples. Genetics 2019; 212:587-614. [PMID: 31088861 PMCID: PMC6614887 DOI: 10.1534/genetics.119.302057] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 05/01/2019] [Indexed: 11/18/2022] Open
Abstract
Both the total amount and the distribution of heterozygous sites within individual genomes are informative about the genetic diversity of the population they belong to. Detecting true heterozygous sites in ancient genomes is complicated by the generally limited coverage achieved and the presence of post-mortem damage inflating sequencing errors. Additionally, large runs of homozygosity found in the genomes of particularly inbred individuals and of domestic animals can skew estimates of genome-wide heterozygosity rates. Current computational tools aimed at estimating runs of homozygosity and genome-wide heterozygosity levels are generally sensitive to such limitations. Here, we introduce ROHan, a probabilistic method which substantially improves the estimate of heterozygosity rates both genome-wide and for genomic local windows. It combines a local Bayesian model and a Hidden Markov Model at the genome-wide level and can work both on modern and ancient samples. We show that our algorithm outperforms currently available methods for predicting heterozygosity rates for ancient samples. Specifically, ROHan can delineate large runs of homozygosity (at megabase scales) and produce a reliable confidence interval for the genome-wide rate of heterozygosity outside of such regions from modern genomes with a depth of coverage as low as 5-6× and down to 7-8× for ancient samples showing moderate DNA damage. We apply ROHan to a series of modern and ancient genomes previously published and revise available estimates of heterozygosity for humans, chimpanzees and horses.
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Affiliation(s)
- Gabriel Renaud
- Lundbeck Foundation GeoGenetics Center, Globe Institute, University of Copenhagen, 1350K, Denmark
| | - Kristian Hanghøj
- Lundbeck Foundation GeoGenetics Center, Globe Institute, University of Copenhagen, 1350K, Denmark
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000, France
| | | | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Center, Globe Institute, University of Copenhagen, 1350K, Denmark
- Department of Zoology, University of Cambridge, CB2 3EJ, UK
- The Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
- The Danish Institute for Advanced Study at The University of Southern Denmark, DK-5230 Odense M, Denmark
| | - Ludovic Orlando
- Lundbeck Foundation GeoGenetics Center, Globe Institute, University of Copenhagen, 1350K, Denmark
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000, France
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81
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McGivney BA, Hernandez B, Katz LM, MacHugh DE, McGovern SP, Parnell AC, Wiencko HL, Hill EW. A genomic prediction model for racecourse starts in the Thoroughbred horse. Anim Genet 2019; 50:347-357. [PMID: 31257665 DOI: 10.1111/age.12798] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/05/2019] [Indexed: 12/26/2022]
Abstract
Durability traits in Thoroughbred horses are heritable, economically valuable and may affect horse welfare. The aims of this study were to test the hypotheses that (i) durability traits are heritable and (ii) genetic data may be used to predict a horse's potential to have a racecourse start. Heritability for the phenotype 'number of 2- and 3-year-old starts' was estimated to be h m 2 = 0.11 ± 0.02 (n = 4499). A genome-wide association study identified SNP contributions to the trait. The neurotrimin (NTM), opioid-binding protein/cell adhesion molecule like (OPCML) and prolylcarboxypeptidase (PRCP) genes were identified as candidate genes associated with the trait. NTM functions in brain development and has been shown to have been selected during the domestication of the horse. PRCP is an established expression quantitative trait locus involved in the interaction between voluntary exercise and body composition in mice. We hypothesise that variation at these loci contributes to the motivation of the horse to exercise, which may influence its response to the demands of the training and racing environment. A random forest with mixed effects (RFME) model identified a set of SNPs that contributed to 24.7% of the heritable variation in the trait. In an independent validation set (n = 528 horses), the cohort with high genetic potential for a racecourse start had significantly fewer unraced horses (16% unraced) than did low (27% unraced) potential horses and had more favourable race outcomes among those that raced. Therefore, the information from SNPs included in the model may be used to predict horses with a greater chance of a racecourse start.
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Affiliation(s)
- B A McGivney
- Plusvital Ltd, The Highline, Dun Laoghaire Industrial Estate, Dun Laoghaire, Dublin, Ireland
| | - B Hernandez
- Prolego Scientific, Nova UCD, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.,The Irish Longitudinal Study on Aging (TILDA), Trinity College Dublin, Dublin, D02 PN40, Ireland
| | - L M Katz
- UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - D E MacHugh
- UCD Conway Institute for Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.,UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - S P McGovern
- Plusvital Ltd, The Highline, Dun Laoghaire Industrial Estate, Dun Laoghaire, Dublin, Ireland
| | - A C Parnell
- Prolego Scientific, Nova UCD, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland.,School of Mathematics and Statistics, Insight Centre for Data Analytics, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
| | - H L Wiencko
- Plusvital Ltd, The Highline, Dun Laoghaire Industrial Estate, Dun Laoghaire, Dublin, Ireland
| | - E W Hill
- Plusvital Ltd, The Highline, Dun Laoghaire Industrial Estate, Dun Laoghaire, Dublin, Ireland.,UCD School of Agriculture and Food Science, University College Dublin, Belfield, Dublin, D04 V1W8, Ireland
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82
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Grilz-Seger G, Neuditschko M, Ricard A, Velie B, Lindgren G, Mesarič M, Cotman M, Horna M, Dobretsberger M, Brem G, Druml T. Genome-Wide Homozygosity Patterns and Evidence for Selection in a Set of European and Near Eastern Horse Breeds. Genes (Basel) 2019; 10:genes10070491. [PMID: 31261764 PMCID: PMC6679042 DOI: 10.3390/genes10070491] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 06/18/2019] [Accepted: 06/26/2019] [Indexed: 01/10/2023] Open
Abstract
Intensive artificial and natural selection have shaped substantial variation among European horse breeds. Whereas most equine selection signature studies employ divergent genetic population structures in order to derive specific inter-breed targets of selection, we screened a total of 1476 horses originating from 12 breeds for the loss of genetic diversity by runs of homozygosity (ROH) utilizing a 670,000 single nucleotide polymorphism (SNP) genotyping array. Overlapping homozygous regions (ROH islands) indicating signatures of selection were identified by breed and similarities/dissimilarities between populations were evaluated. In the entire dataset, 180 ROH islands were identified, whilst 100 islands were breed specific, all other overlapped in 36 genomic regions with at least one ROH island of another breed. Furthermore, two ROH hot spots were determined at horse chromosome 3 (ECA3) and ECA11. Besides the confirmation of previously documented target genes involved in selection for coat color (MC1R, STX17, ASIP), body size (LCORL/NCAPG, ZFAT, LASP1, HMGA2), racing ability (PPARGC1A), behavioral traits (GRIN2B, NTM/OPCML) and gait patterns (DMRT3), several putative target genes related to embryonic morphogenesis (HOXB), energy metabolism (IGFBP-1, IGFBP-3), hair follicle morphogenesis (KRT25, KRT27, INTU) and autophagy (RALB) were highlighted. Furthermore, genes were pinpointed which might be involved in environmental adaptation of specific habitats (UVSSA, STXBP4, COX11, HLF, MMD).
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Affiliation(s)
- Gertrud Grilz-Seger
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
| | - Markus Neuditschko
- Agroscope, Swiss National Stud Farm, Les Longs Prés, CH-1580 Avenches, Switzerland.
| | - Anne Ricard
- UMR 1313 Génétique Animale et Biologie Intégrative, Institut National de la Recherche Agronomique, Domaine de Vilvert, Bat 211, 78352 Jouy-en-Josas, France.
| | - Brandon Velie
- Department of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Ulls väg 26, 750 07 Uppsala, Sweden.
- School of Life and Environmental Sciences, University of Sydney, Eastern Ave, 2006 NSW Sydney, Australia.
| | - Gabriella Lindgren
- Department of Animal Breeding & Genetics, Swedish University of Agricultural Sciences, Ulls väg 26, 750 07 Uppsala, Sweden.
- Livestock Genetics, Department of Biosystems, KU Leuven, 3001 Leuven, Belgium.
| | - Matjaz Mesarič
- Clinic for Reproduction and Large Animals, University of Ljubljana, Veterinary, Faculty, Cesta v Mestni log 47, 1000 Ljubljana, Slovenia.
| | - Marko Cotman
- Institute for Preclinical Sciences, University of Ljubljana, Veterinary Faculty, Gerbičeva 60, 1000 Ljubljana, Slovenia.
| | - Michaela Horna
- Department of Animal Husbandry, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia.
| | - Max Dobretsberger
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
| | - Thomas Druml
- Institute of Animal Breeding and Genetics, University of Veterinary Sciences Vienna, Veterinärplatz 1, 1210 Vienna, Austria.
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83
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Genome-wide scan reveals genetic divergence and diverse adaptive selection in Chinese local cattle. BMC Genomics 2019; 20:494. [PMID: 31200634 PMCID: PMC6570941 DOI: 10.1186/s12864-019-5822-y] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 05/21/2019] [Indexed: 01/18/2023] Open
Abstract
Background Understanding the population structure and genetic bases of well-adapted cattle breeds to local environments is one of the most essential tasks to develop appropriate genetic improvement programs. Results We performed a comprehensive study to investigate the population structure, divergence and selection signatures at genome-wide level in diverse Chinese local cattle using Bovine HD SNPs array, including two breeds from North China, one breed from Northwest China, three breeds from Southwest China and two breeds from South China. Population genetic analyses revealed the genetic structures of these populations were mostly related to the geographic locations. Notably, we detected 294 and 1263 candidate regions under selection using the di and iHS approaches, respectively. A series of group-specific and breed-specific candidate genes were identified, which are involved in immune response, sexual maturation, stature related, birth and bone weight, embryonic development, coat colors and adaptation. Furthermore, haplotype diversity and network pattern for candidate genes, including LPGAT1, LCORL, PPP1R8, RXFP2 and FANCA, suggest that these genes have been under differential selection pressures in various environmental conditions. Conclusions Our results shed insights into diverse selection during breed formation in Chinese local cattle. These findings may promote the application of genome-assisted breeding for well-adapted local breeds with economic and ecological importance. Electronic supplementary material The online version of this article (10.1186/s12864-019-5822-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Mirte Bosse
- Wageningen University & Research, Animal Breeding and Genomics, Wageningen, the Netherlands
- Department of Ecological Science, Animal Ecology Group, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- * E-mail:
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Fages A, Hanghøj K, Khan N, Gaunitz C, Seguin-Orlando A, Leonardi M, McCrory Constantz C, Gamba C, Al-Rasheid KAS, Albizuri S, Alfarhan AH, Allentoft M, Alquraishi S, Anthony D, Baimukhanov N, Barrett JH, Bayarsaikhan J, Benecke N, Bernáldez-Sánchez E, Berrocal-Rangel L, Biglari F, Boessenkool S, Boldgiv B, Brem G, Brown D, Burger J, Crubézy E, Daugnora L, Davoudi H, de Barros Damgaard P, de Los Ángeles de Chorro Y de Villa-Ceballos M, Deschler-Erb S, Detry C, Dill N, do Mar Oom M, Dohr A, Ellingvåg S, Erdenebaatar D, Fathi H, Felkel S, Fernández-Rodríguez C, García-Viñas E, Germonpré M, Granado JD, Hallsson JH, Hemmer H, Hofreiter M, Kasparov A, Khasanov M, Khazaeli R, Kosintsev P, Kristiansen K, Kubatbek T, Kuderna L, Kuznetsov P, Laleh H, Leonard JA, Lhuillier J, Liesau von Lettow-Vorbeck C, Logvin A, Lõugas L, Ludwig A, Luis C, Arruda AM, Marques-Bonet T, Matoso Silva R, Merz V, Mijiddorj E, Miller BK, Monchalov O, Mohaseb FA, Morales A, Nieto-Espinet A, Nistelberger H, Onar V, Pálsdóttir AH, Pitulko V, Pitskhelauri K, Pruvost M, Rajic Sikanjic P, Rapan Papeša A, Roslyakova N, Sardari A, Sauer E, Schafberg R, Scheu A, Schibler J, Schlumbaum A, Serrand N, Serres-Armero A, Shapiro B, Sheikhi Seno S, Shevnina I, Shidrang S, Southon J, Star B, Sykes N, Taheri K, Taylor W, Teegen WR, Trbojević Vukičević T, Trixl S, Tumen D, Undrakhbold S, Usmanova E, Vahdati A, Valenzuela-Lamas S, Viegas C, Wallner B, Weinstock J, Zaibert V, Clavel B, Lepetz S, Mashkour M, Helgason A, Stefánsson K, Barrey E, Willerslev E, Outram AK, Librado P, Orlando L. Tracking Five Millennia of Horse Management with Extensive Ancient Genome Time Series. Cell 2019; 177:1419-1435.e31. [PMID: 31056281 PMCID: PMC6547883 DOI: 10.1016/j.cell.2019.03.049] [Citation(s) in RCA: 113] [Impact Index Per Article: 22.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 02/14/2019] [Accepted: 03/27/2019] [Indexed: 11/30/2022]
Abstract
Horse domestication revolutionized warfare and accelerated travel, trade, and the geographic expansion of languages. Here, we present the largest DNA time series for a non-human organism to date, including genome-scale data from 149 ancient animals and 129 ancient genomes (≥1-fold coverage), 87 of which are new. This extensive dataset allows us to assess the modern legacy of past equestrian civilizations. We find that two extinct horse lineages existed during early domestication, one at the far western (Iberia) and the other at the far eastern range (Siberia) of Eurasia. None of these contributed significantly to modern diversity. We show that the influence of Persian-related horse lineages increased following the Islamic conquests in Europe and Asia. Multiple alleles associated with elite-racing, including at the MSTN "speed gene," only rose in popularity within the last millennium. Finally, the development of modern breeding impacted genetic diversity more dramatically than the previous millennia of human management.
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Affiliation(s)
- Antoine Fages
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France; Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Kristian Hanghøj
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France; Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Naveed Khan
- Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark; Department of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan
| | - Charleen Gaunitz
- Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Andaine Seguin-Orlando
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France; Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Michela Leonardi
- Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark; Evolutionary Ecology Group, Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, UK
| | - Christian McCrory Constantz
- Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark; Institute for Immunity, Transplantation and Infection, Stanford University, Stanford, CA 94305, USA
| | - Cristina Gamba
- Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Khaled A S Al-Rasheid
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Silvia Albizuri
- Seminari d'Estudis i Recerques Prehistoriques, HAR2017-87695-P, Universitat de Barcelona, Barcelona, Spain
| | - Ahmed H Alfarhan
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Morten Allentoft
- Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Saleh Alquraishi
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - David Anthony
- Anthropology Department, Hartwick College 1, Oneonta, NY 13820, USA
| | | | - James H Barrett
- McDonald Institute for Archaeological Research, Department of Archaeology, University of Cambridge, Cambridge CB2 3ER, UK
| | | | - Norbert Benecke
- Deutsches Archäologisches Institut (DAI), 14195 Berlin, Germany
| | - Eloísa Bernáldez-Sánchez
- Laboratorio de Paleontologia y Paleobiologia, Instituto Andaluz del Patrimonio Historico, Sevilla, Spain
| | - Luis Berrocal-Rangel
- Departamento de Prehistoria y Arqueología, Universidad Autónoma de Madrid, Madrid, Spain
| | - Fereidoun Biglari
- Department of Paleolithic, National Museum of Iran, 1136918111, Tehran, Iran
| | - Sanne Boessenkool
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Postbox 1066, Blindern, 0316 Oslo, Norway
| | - Bazartseren Boldgiv
- Ecology Group, Department of Biology, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar 14201, Mongolia
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, Veterinary University of Vienna, 1210 Vienna, Austria
| | - Dorcas Brown
- Anthropology Department, Hartwick College 1, Oneonta, NY 13820, USA
| | - Joachim Burger
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg-University Mainz, 55099 Mainz, Germany
| | - Eric Crubézy
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
| | - Linas Daugnora
- Osteological material research laboratory, Klaipėda university, Klaipėda 92294, Lithuania
| | - Hossein Davoudi
- Department of Osteology, National Museum of Iran, 1136918111, Tehran, Iran; Department of Archaeology, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran
| | | | | | - Sabine Deschler-Erb
- Integrative prähistorische und naturwissenschaftliche Archäologie (IPNA), 4055 Basel, Switzerland
| | - Cleia Detry
- Uniarq, Centro de Arqueologia da Universidade de Lisboa, Faculdade de Letras da Universidade de Lisboa, 1600-214 Lisboa, Portugal
| | - Nadine Dill
- Integrative prähistorische und naturwissenschaftliche Archäologie (IPNA), 4055 Basel, Switzerland
| | - Maria do Mar Oom
- CE3C-Centre for Ecology, Evolution and Environmental Changes, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal
| | - Anna Dohr
- Institute for Pre- and Protohistoric Archaeology and Archaeology of the Roman Provinces, Ludwig-Maximilians-University Munich, 80539 München, Germany; ArchaeoBioCenter, Ludwig-Maximilians-University Munich, 80539 München, Germany; Institute of Palaeoanatomy, Domestication Research and History of Veterinary Medicine, Ludwig-Maximilians-University Munich, 80539 München, Germany
| | | | | | - Homa Fathi
- Department of Osteology, National Museum of Iran, 1136918111, Tehran, Iran; Archaezoology section, Bioarchaeology Laboratory of the Central Laboratory, University of Tehran, Tehran CP1417634934, Iran
| | - Sabine Felkel
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, Veterinary University of Vienna, 1210 Vienna, Austria
| | | | - Esteban García-Viñas
- Departamento de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, 41013 Sevilla, Spain
| | - Mietje Germonpré
- Operational Direction, Earth and History of Life, Royal Belgian Institute of Natural Sciences, 1000, Brussels, Belgium
| | - José D Granado
- Integrative prähistorische und naturwissenschaftliche Archäologie (IPNA), 4055 Basel, Switzerland
| | - Jón H Hallsson
- Faculty of Agricultural and Environmental Sciences, The Agricultural University of Iceland, Keldnaholti - Árleyni 22, 112 Reykjavík, Iceland
| | - Helmut Hemmer
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg-University Mainz, 55099 Mainz, Germany
| | - Michael Hofreiter
- University of Potsdam, Faculty of Mathematics and Natural Sciences, Institute for Biochemistry and Biology, 14476 Potsdam, Germany
| | - Aleksei Kasparov
- Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg 191186, Russia
| | | | - Roya Khazaeli
- Department of Osteology, National Museum of Iran, 1136918111, Tehran, Iran; Archaezoology section, Bioarchaeology Laboratory of the Central Laboratory, University of Tehran, Tehran CP1417634934, Iran
| | - Pavel Kosintsev
- Institute of Plant and Animal Ecology, Urals Branch of the Russian Academy of Sciences, Ekaterinburg 620144, Russia
| | | | - Tabaldiev Kubatbek
- Department of History, Kyrgyz-Turkish Manas University, Bishkek, Kyrgyzstan
| | - Lukas Kuderna
- Institut de Biologia Evolutiva, (CSIC-Universitat Pompeu Fabra), PRBB, Barcelona, Catalonia 08003, Spain
| | - Pavel Kuznetsov
- Samara State University of Social Science and Education, Samara, Russia
| | - Haeedeh Laleh
- Archaezoology section, Bioarchaeology Laboratory of the Central Laboratory, University of Tehran, Tehran CP1417634934, Iran; Department of Archaeology, Faculty of Humanities, University of Tehran, Iran
| | - Jennifer A Leonard
- Conservation and Evolutionary Genetics Group, Estación Biológica de Doñana (EBD-CSIC), 41092 Sevilla, Spain
| | - Johanna Lhuillier
- Laboratoire Archéorient, UMR 5133, Maison de l'Orient et de la Méditerranée, 69365 Lyon Cedex 7, France
| | | | - Andrey Logvin
- Laboratory for Archaeological Research, Faculty of History and Law, Kostanay State University, Kostanay, Kazakhstan
| | - Lembi Lõugas
- Archaeological Research Collection, Tallinn University, 10130 Tallinn, Estonia
| | - Arne Ludwig
- Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, 10315 Berlin, Germany; Faculty of Life Sciences, Albrecht Daniel Thaer-Institute, Humboldt University Berlin, 10115 Berlin, Germany
| | - Cristina Luis
- Museu Nacional de História Natural e da Ciência, Universidade de Lisboa, Lisboa, Portugal; Centro Interuniversitário de História das Ciências e da Tecnologia (CIUHCT), Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal; Instituto Universitário de Lisboa (ISCTE-IUL), CIES-IUL, Lisboa, Portugal
| | - Ana Margarida Arruda
- Uniarq, Centro de Arqueologia da Universidade de Lisboa, Faculdade de Letras da Universidade de Lisboa, 1600-214 Lisboa, Portugal
| | - Tomas Marques-Bonet
- Institut de Biologia Evolutiva, (CSIC-Universitat Pompeu Fabra), PRBB, Barcelona, Catalonia 08003, Spain; Catalan Institution of Research and Advanced Studies (ICREA), 08010 Barcelona, Spain; CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), 08028 Barcelona, Spain; Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, c/ Columnes s/n, 08193, Cerdanyola del Vallès, Barcelona, Spain
| | | | - Victor Merz
- S.Toraighyrov Pavlodar State University, Joint Research Center for Archeological Studies, 637000 Pavlodar, Kazakhstan
| | - Enkhbayar Mijiddorj
- Department of Archaeology, Ulaanbaatar State University, Ulaanbaatar 51, Mongolia
| | - Bryan K Miller
- University of Oxford, Faculty of History, George Street, Oxford, OX1 2RL, UK
| | - Oleg Monchalov
- Samara State University of Social Science and Education, Samara, Russia
| | - Fatemeh A Mohaseb
- Department of Osteology, National Museum of Iran, 1136918111, Tehran, Iran; Archaezoology section, Bioarchaeology Laboratory of the Central Laboratory, University of Tehran, Tehran CP1417634934, Iran; Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique, Sociétés, Pratiques et Environnements (UMR 7209), 75005 Paris, France
| | - Arturo Morales
- Laboratory of Archaeozoology, Department Biología, Universidad Autónoma de Madrid, Madrid, Spain
| | - Ariadna Nieto-Espinet
- Archaeology of Social Dynamics Group (ADS), Institució Milà i Fontanals-Consejo Superior de Investigaciones Científicas (IMF-CSIC), 08001 Barcelona, Spain; Grup d'Investigació Prehistòrica, HAR2016-78277-R, Universitat de Lleida, 25003 Lleida, Spain
| | - Heidi Nistelberger
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Postbox 1066, Blindern, 0316 Oslo, Norway
| | - Vedat Onar
- Osteoarchaeology Practice and Research Center and Department of Anatomy, Faculty of Veterinary Medicine, Istanbul University-Cerrahpaşa, 34320, Avcılar, Istanbul, Turkey
| | - Albína H Pálsdóttir
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Postbox 1066, Blindern, 0316 Oslo, Norway; Faculty of Agricultural and Environmental Sciences, The Agricultural University of Iceland, Keldnaholti - Árleyni 22, 112 Reykjavík, Iceland
| | - Vladimir Pitulko
- Institute for the History of Material Culture, Russian Academy of Sciences, St. Petersburg 191186, Russia
| | | | - Mélanie Pruvost
- Université de Bordeaux, CNRS, UMR 5199-PACEA, 33615 Pessac Cedex, France
| | | | | | | | - Alireza Sardari
- Iranian Center for Archaeological Research (ICAR), Iranian Cultural Heritage, Handicrafts, and Tourism Organization (ICHHTO), 1136918111, Tehran, Iran
| | - Eberhard Sauer
- School of History, Classics and Archaeology, The University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Renate Schafberg
- Central Natural Science Collections (ZNS), Martin Luther University Halle-Wittenberg, Domplatz 4, 06108 Halle (Saale), Germany
| | - Amelie Scheu
- Palaeogenetics Group, Institute of Organismic and Molecular Evolution (iOME), Johannes Gutenberg-University Mainz, 55099 Mainz, Germany
| | - Jörg Schibler
- Integrative prähistorische und naturwissenschaftliche Archäologie (IPNA), 4055 Basel, Switzerland
| | - Angela Schlumbaum
- Integrative prähistorische und naturwissenschaftliche Archäologie (IPNA), 4055 Basel, Switzerland
| | - Nathalie Serrand
- Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique, Sociétés, Pratiques et Environnements (UMR 7209), 75005 Paris, France; INRAP Guadeloupe, Centre de recherches archéologiques, UMR 7209 CNRS/MNHN, 97113 Gourbeyre, Guadeloupe
| | - Aitor Serres-Armero
- Institut de Biologia Evolutiva, (CSIC-Universitat Pompeu Fabra), PRBB, Barcelona, Catalonia 08003, Spain
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology and Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Shiva Sheikhi Seno
- Department of Osteology, National Museum of Iran, 1136918111, Tehran, Iran; Archaezoology section, Bioarchaeology Laboratory of the Central Laboratory, University of Tehran, Tehran CP1417634934, Iran; Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique, Sociétés, Pratiques et Environnements (UMR 7209), 75005 Paris, France
| | - Irina Shevnina
- Laboratory for Archaeological Research, Faculty of History and Law, Kostanay State University, Kostanay, Kazakhstan
| | - Sonia Shidrang
- Saeedi Institute for Advanced Studies, University of Kashan, Kashan 87317-51167, Iran
| | - John Southon
- Department Earth System Science, University of California, Irvine, Irvine, CA 92697, USA
| | - Bastiaan Star
- Centre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, Postbox 1066, Blindern, 0316 Oslo, Norway
| | - Naomi Sykes
- Department of Archaeology, University of Nottingham, Nottingham, NG7 2RD, UK; Department of Archaeology, University of Exeter, Exeter, EX4 4QE, UK
| | - Kamal Taheri
- Kermanshah Regional Water Authority, Kermanshah 67145-1466, Iran
| | - William Taylor
- Max Planck Institute for the Science of Human History, 07745 Jena, Germany
| | - Wolf-Rüdiger Teegen
- Institute for Pre- and Protohistoric Archaeology and Archaeology of the Roman Provinces, Ludwig-Maximilians-University Munich, 80539 München, Germany; ArchaeoBioCenter, Ludwig-Maximilians-University Munich, 80539 München, Germany
| | - Tajana Trbojević Vukičević
- Department of Anatomy, Histology and Embryology, Faculty of Veterinary Medicine, University of Zagreb, 10 000 Zagreb, Croatia
| | - Simon Trixl
- Institute of Palaeoanatomy, Domestication Research and History of Veterinary Medicine, Ludwig-Maximilians-University Munich, 80539 München, Germany
| | - Dashzeveg Tumen
- Department of Anthropology and Archaeology, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar 14201, Mongolia
| | - Sainbileg Undrakhbold
- Ecology Group, Department of Biology, School of Arts and Sciences, National University of Mongolia, Ulaanbaatar 14201, Mongolia
| | - Emma Usmanova
- Saryarka Archaeological Institute of Buketov Karaganda State University, Karaganda 100074, Kazakhstan
| | - Ali Vahdati
- Iranian Center for Archaeological Research (ICAR), Iranian Cultural Heritage, Handicrafts, and Tourism Organization (ICHHTO), 1136918111, Tehran, Iran
| | - Silvia Valenzuela-Lamas
- Archaeology of Social Dynamics Group (ADS), Institució Milà i Fontanals-Consejo Superior de Investigaciones Científicas (IMF-CSIC), 08001 Barcelona, Spain
| | - Catarina Viegas
- Uniarq, Centro de Arqueologia da Universidade de Lisboa, Faculdade de Letras da Universidade de Lisboa, 1600-214 Lisboa, Portugal
| | - Barbara Wallner
- Institute of Animal Breeding and Genetics, Department of Biomedical Sciences, Veterinary University of Vienna, 1210 Vienna, Austria
| | - Jaco Weinstock
- Faculty of Humanities (Archaeology), University of Southampton, Avenue Campus, Highfield, Southampton SO17 1BF, UK
| | - Victor Zaibert
- Scientific Research Institute of Archaeology and Steppe Civilizations, Al Farabi Kazakh National University, 050040 Almaty, Kazakhstan
| | - Benoit Clavel
- Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique, Sociétés, Pratiques et Environnements (UMR 7209), 75005 Paris, France
| | - Sébastien Lepetz
- Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique, Sociétés, Pratiques et Environnements (UMR 7209), 75005 Paris, France
| | - Marjan Mashkour
- Department of Osteology, National Museum of Iran, 1136918111, Tehran, Iran; Archaezoology section, Bioarchaeology Laboratory of the Central Laboratory, University of Tehran, Tehran CP1417634934, Iran; Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle, Archéozoologie, Archéobotanique, Sociétés, Pratiques et Environnements (UMR 7209), 75005 Paris, France
| | | | | | - Eric Barrey
- GABI UMR1313, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Eske Willerslev
- Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Alan K Outram
- Department of Archaeology, University of Exeter, Exeter, EX4 4QE, UK
| | - Pablo Librado
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France; Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark
| | - Ludovic Orlando
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France; Lundbeck Foundation GeoGenetics Center, University of Copenhagen, 1350K Copenhagen, Denmark.
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The Promise of Paleogenomics Beyond Our Own Species. Trends Genet 2019; 35:319-329. [PMID: 30954285 DOI: 10.1016/j.tig.2019.02.006] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 02/18/2019] [Accepted: 02/25/2019] [Indexed: 02/06/2023]
Abstract
Paleogenomics, also known as genome-wide ancient DNA analysis, is transforming our understanding of the human past, but has been much less intensively used to understand the history of other species. However, paleogenomic studies of non-human animals and plants have the potential to address an equally rich range of evolutionary, paleoecological, paleoenvironmental, and archaeological research questions. Three recent case studies of cave bears, horses, and maize provide examples of the ways that paleogenomics can be used to examine potential causes of extinctions and dynamic processes of domestication. Much more research in these areas is needed, and we conclude by highlighting key future directions.
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Sánchez‐Villagra MR, van Schaik CP. Evaluating the self‐domestication hypothesis of human evolution. Evol Anthropol 2019; 28:133-143. [DOI: 10.1002/evan.21777] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 12/12/2018] [Accepted: 03/03/2019] [Indexed: 12/17/2022]
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Pericardial Disease, Myocardial Disease, and Great Vessel Abnormalities in Horses. Vet Clin North Am Equine Pract 2019; 35:139-157. [PMID: 30871834 DOI: 10.1016/j.cveq.2018.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Pericardial, myocardial, and great vessel diseases are relatively rare in horses. The clinical signs are often nonspecific and vague, or related to the underlying cause. Physical examination usually reveals tachycardia, fever, venous distension or jugular pulsation, a weak or bounding arterial pulse, ventral edema, and abnormal cardiac auscultation such as arrhythmia, murmur, or muffled heart sounds. The prognosis depends on the underlying cause and the disease progression, and ranges from full recovery to poor prognosis for survival. This article focuses on the etiology, diagnosis, prognosis, and treatment of pericarditis, pericardial mass lesions, myocarditis, cardiomyopathy, and great vessel aneurysm or rupture.
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Grilz-Seger G, Druml T, Neuditschko M, Dobretsberger M, Horna M, Brem G. High-resolution population structure and runs of homozygosity reveal the genetic architecture of complex traits in the Lipizzan horse. BMC Genomics 2019; 20:174. [PMID: 30836959 PMCID: PMC6402180 DOI: 10.1186/s12864-019-5564-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 02/25/2019] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The sample ascertainment bias due to complex population structures remains a major challenge in genome-wide investigations of complex traits. In this study we derived the high-resolution population structure and levels of autozygosity of 377 Lipizzan horses originating from five different European stud farms utilizing the SNP genotype information of the high density 700 k Affymetrix Axiom™ Equine genotyping array. Scanning the genome for overlapping runs of homozygosity (ROH) shared by more than 50% of horses, we identified homozygous regions (ROH islands) in order to investigate the gene content of those candidate regions by gene ontology and enrichment analyses. RESULTS The high-resolution population network approach revealed well-defined substructures according to the origin of the horses (Austria, Slovakia, Croatia and Hungary). The highest mean genome coverage of ROH (SROH) was identified in the Austrian (SROH = 342.9), followed by Croatian (SROH = 214.7), Slovakian (SROH = 205.1) and Hungarian (SROH = 171.5) subpopulations. ROH island analysis revealed five common islands on ECA11 and ECA14, hereby confirming a closer genetic relationship between the Hungarian and Croatian as well as between the Austrian and Slovakian samples. Private islands were detected for the Hungarian and the Austrian Lipizzan subpopulations. All subpopulations shared a homozygous region on ECA11, nearly identical in position and length containing among other genes the homeobox-B cluster, which was also significantly (p < 0.001) highlighted by enrichment analysis. Gene ontology terms were mostly related to biological processes involved in embryonic morphogenesis and anterior/posterior specification. Around the STX17 gene (causative for greying), we identified a ROH island harbouring the genes NR4A3, STX17, ERP44 and INVS. Within further islands on ECA14, ECA16 and ECA20 we detected the genes SPRY4, NDFIP1, IMPDH2, HSP90AB1, whereas SPRY4 and HSP90AB1 are involved in melanoma metastasis and survival rate of melanoma patients in humans. CONCLUSIONS We demonstrated that the assessment of high-resolution population structures within one single breed supports the downstream genetic analyses (e.g. the identification of ROH islands). By means of ROH island analyses, we identified the genes SPRY4, NDFIP1, IMPDH2, HSP90AB1, which might play an important role for further studies on equine melanoma. Furthermore, our results highlighted the impact of the homeobox-A and B cluster involved in morphogenesis of Lipizzan horses.
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Affiliation(s)
- Gertrud Grilz-Seger
- Institute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210 Vienna, Austria
| | - Thomas Druml
- Institute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210 Vienna, Austria
| | - Markus Neuditschko
- Agroscope, Swiss National Stud Farm, Les Longs Prés, CH-1580 Avenches, Switzerland
| | - Max Dobretsberger
- Institute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210 Vienna, Austria
| | - Michaela Horna
- Department of Animal Husbandry, Slovak University of Agriculture in Nitra, Nitra-Chrenová, Slovak Republic
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, Department for Biomedical Sciences, University of Veterinary Medicine Vienna, Veterinärplatz 1, A-1210 Vienna, Austria
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90
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Pont C, Wagner S, Kremer A, Orlando L, Plomion C, Salse J. Paleogenomics: reconstruction of plant evolutionary trajectories from modern and ancient DNA. Genome Biol 2019; 20:29. [PMID: 30744646 PMCID: PMC6369560 DOI: 10.1186/s13059-019-1627-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
How contemporary plant genomes originated and evolved is a fascinating question. One approach uses reference genomes from extant species to reconstruct the sequence and structure of their common ancestors over deep timescales. A second approach focuses on the direct identification of genomic changes at a shorter timescale by sequencing ancient DNA preserved in subfossil remains. Merged within the nascent field of paleogenomics, these complementary approaches provide insights into the evolutionary forces that shaped the organization and regulation of modern genomes and open novel perspectives in fostering genetic gain in breeding programs and establishing tools to predict future population changes in response to anthropogenic pressure and global warming.
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Affiliation(s)
- Caroline Pont
- INRA-UCA UMR 1095 Génétique Diversité et Ecophysiologie des Céréales, 63100, Clermont-Ferrand, France
| | - Stefanie Wagner
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, allées Jules Guesde, Bâtiment A, 31000, Toulouse, France.,INRA-Université Bordeaux UMR1202, Biodiversité Gènes et Communautés, 33610, Cestas, France
| | - Antoine Kremer
- INRA-Université Bordeaux UMR1202, Biodiversité Gènes et Communautés, 33610, Cestas, France
| | - Ludovic Orlando
- Laboratoire d'Anthropobiologie Moléculaire et d'Imagerie de Synthèse, CNRS UMR 5288, allées Jules Guesde, Bâtiment A, 31000, Toulouse, France.,Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade, 1350K, Copenhagen, Denmark
| | - Christophe Plomion
- INRA-Université Bordeaux UMR1202, Biodiversité Gènes et Communautés, 33610, Cestas, France
| | - Jerome Salse
- INRA-UCA UMR 1095 Génétique Diversité et Ecophysiologie des Céréales, 63100, Clermont-Ferrand, France.
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91
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Burgarella C, Barnaud A, Kane NA, Jankowski F, Scarcelli N, Billot C, Vigouroux Y, Berthouly-Salazar C. Adaptive Introgression: An Untapped Evolutionary Mechanism for Crop Adaptation. FRONTIERS IN PLANT SCIENCE 2019; 10:4. [PMID: 30774638 PMCID: PMC6367218 DOI: 10.3389/fpls.2019.00004] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 01/04/2019] [Indexed: 05/18/2023]
Abstract
Global environmental changes strongly impact wild and domesticated species biology and their associated ecosystem services. For crops, global warming has led to significant changes in terms of phenology and/or yield. To respond to the agricultural challenges of this century, there is a strong need for harnessing the genetic variability of crops and adapting them to new conditions. Gene flow, from either the same species or a different species, may be an immediate primary source to widen genetic diversity and adaptions to various environments. When the incorporation of a foreign variant leads to an increase of the fitness of the recipient pool, it is referred to as "adaptive introgression". Crop species are excellent case studies of this phenomenon since their genetic variability has been considerably reduced over space and time but most of them continue exchanging genetic material with their wild relatives. In this paper, we review studies of adaptive introgression, presenting methodological approaches and challenges to detecting it. We pay particular attention to the potential of this evolutionary mechanism for the adaptation of crops. Furthermore, we discuss the importance of farmers' knowledge and practices in shaping wild-to-crop gene flow. Finally, we argue that screening the wild introgression already existing in the cultivated gene pool may be an effective strategy for uncovering wild diversity relevant for crop adaptation to current environmental changes and for informing new breeding directions.
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Affiliation(s)
- Concetta Burgarella
- Institut de Recherche pour le Développement, UMR DIADE, Montpellier, France
- DIADE, Université de Montpellier, Montpellier, France
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Institut National de la Recherche Agronomique, Montpellier SupAgro, Montpellier, France
- *Correspondence: Concetta Burgarella, Cécile Berthouly-Salazar,
| | - Adeline Barnaud
- Institut de Recherche pour le Développement, UMR DIADE, Montpellier, France
- DIADE, Université de Montpellier, Montpellier, France
| | - Ndjido Ardo Kane
- Laboratoire National de Recherches sur les Productions Végétales, Institut Sénégalais de Recherches Agricoles, Dakar, Senegal
- Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux, Dakar, Senegal
| | - Frédérique Jankowski
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UPR GREEN, Montpellier, France
- GREEN, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Université de Montpellier, Montpellier, France
- Bureau d’Analyses Macro-Economiques, Institut Sénégalais de Recherches Agricoles, Dakar, Senegal
| | - Nora Scarcelli
- Institut de Recherche pour le Développement, UMR DIADE, Montpellier, France
- DIADE, Université de Montpellier, Montpellier, France
| | - Claire Billot
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR AGAP, Montpellier, France
- AGAP, Université de Montpellier, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Institut National de la Recherche Agronomique, Montpellier SupAgro, Montpellier, France
| | - Yves Vigouroux
- Institut de Recherche pour le Développement, UMR DIADE, Montpellier, France
- DIADE, Université de Montpellier, Montpellier, France
| | - Cécile Berthouly-Salazar
- Institut de Recherche pour le Développement, UMR DIADE, Montpellier, France
- DIADE, Université de Montpellier, Montpellier, France
- Laboratoire Mixte International Adaptation des Plantes et Microorganismes Associés aux Stress Environnementaux, Dakar, Senegal
- *Correspondence: Concetta Burgarella, Cécile Berthouly-Salazar,
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92
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Bosse M, Megens H, Derks MFL, de Cara ÁMR, Groenen MAM. Deleterious alleles in the context of domestication, inbreeding, and selection. Evol Appl 2019; 12:6-17. [PMID: 30622631 PMCID: PMC6304688 DOI: 10.1111/eva.12691] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Revised: 05/30/2018] [Accepted: 06/12/2018] [Indexed: 12/21/2022] Open
Abstract
Each individual has a certain number of harmful mutations in its genome. These mutations can lower the fitness of the individual carrying them, dependent on their dominance and selection coefficient. Effective population size, selection, and admixture are known to affect the occurrence of such mutations in a population. The relative roles of demography and selection are a key in understanding the process of adaptation. These are factors that are potentially influenced and confounded in domestic animals. Here, we hypothesize that the series of events of bottlenecks, introgression, and strong artificial selection associated with domestication increased mutational load in domestic species. Yet, mutational load is hard to quantify, so there are very few studies available revealing the relevance of evolutionary processes. The precise role of artificial selection, bottlenecks, and introgression in further increasing the load of deleterious variants in animals in breeding and conservation programmes remains unclear. In this paper, we review the effects of domestication and selection on mutational load in domestic species. Moreover, we test some hypotheses on higher mutational load due to domestication and selective sweeps using sequence data from commercial pig and chicken lines. Overall, we argue that domestication by itself is not a prerequisite for genetic erosion, indicating that fitness potential does not need to decline. Rather, mutational load in domestic species can be influenced by many factors, but consistent or strong trends are not yet clear. However, methods emerging from molecular genetics allow discrimination of hypotheses about the determinants of mutational load, such as effective population size, inbreeding, and selection, in domestic systems. These findings make us rethink the effect of our current breeding schemes on fitness of populations.
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Affiliation(s)
- Mirte Bosse
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
| | - Hendrik‐Jan Megens
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
| | - Martijn F. L. Derks
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
| | - Ángeles M. R. de Cara
- Centre d’Ecologie Fonctionnelle et EvolutiveCNRSUniversité de MontpellierUniversité Paul Valéry Montpellier 3EPHE, IRDMontpellierFrance
| | - Martien A. M. Groenen
- Animal Breeding and GenomicsWageningen University & ResearchWageningenThe Netherlands
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93
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Hahn C. Assembly of Ancient Mitochondrial Genomes Without a Closely Related Reference Sequence. Methods Mol Biol 2019; 1963:195-213. [PMID: 30875055 DOI: 10.1007/978-1-4939-9176-1_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Recent methodological advances have transformed the field of ancient DNA (aDNA). Basic bioinformatics skills are becoming essential requirements to process and analyze the sheer amounts of data generated by current aDNA studies and in biomedical research in general. This chapter is intended as a practical guide to the assembly of ancient mitochondrial genomes, directly from genomic DNA-derived next-generation sequencing (NGS) data, specifically in the absence of closely related reference genomes. In a hands-on tutorial suitable for readers with little to no prior bioinformatics experience, we reconstruct the mitochondrial genome of a woolly mammoth deposited ~45,000 years ago. We introduce key software tools and outline general strategies for mitogenome assembly, including the critical quality assessment of assembly results without a reference genome.
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Affiliation(s)
- Christoph Hahn
- Institute of Biology, University of Graz, Universitätsplatz 2, 8010, Graz, Austria.
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94
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Allaby RG, Ware RL, Kistler L. A re-evaluation of the domestication bottleneck from archaeogenomic evidence. Evol Appl 2019; 12:29-37. [PMID: 30622633 PMCID: PMC6304682 DOI: 10.1111/eva.12680] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 07/04/2018] [Accepted: 07/09/2018] [Indexed: 01/03/2023] Open
Abstract
Domesticated crops show a reduced level of diversity that is commonly attributed to the "domestication bottleneck"; a drastic reduction in the population size associated with subsampling the wild progenitor species and the imposition of selection pressures associated with the domestication syndrome. A prediction of the domestication bottleneck is a sharp decline in genetic diversity early in the domestication process. Surprisingly, archaeological genomes of three major annual crops do not indicate that such a drop in diversity occurred early in the domestication process. In light of this observation, we revisit the general assumption of the domestication bottleneck concept in our current understanding of the evolutionary process of domestication.
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Affiliation(s)
| | | | - Logan Kistler
- Department of AnthropologyNational Museum of Natural HistorySmithsonian InstitutionWashingtonDistrict of Columbia
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95
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Abstract
Entering into the world of ancient DNA research is nontrivial. Because the DNA in most ancient specimens is degraded to some extent, the potential is high for contamination of ancient samples, ancient DNA extracts, and genomic sequencing libraries prepared from these extracts with non-degraded DNA from the present-day environment. To minimize the risk of contamination in ancient DNA environments, experimental protocols specific to handling ancient specimens, including those that outline the design and layout of laboratory space, have been introduced. Here, we outline challenges associated with working with ancient samples, including providing guidelines for setting up a new ancient DNA laboratory. We also discuss steps that can be taken at the sample collection and preparation stage to minimize the potential for contamination of ancient DNA experiments with exogenous sources of DNA.
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Affiliation(s)
- Tara L Fulton
- Environment and Climate Change Canada, Edmonton, AB, Canada
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA.
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96
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Torkamaneh D, Laroche J, Rajcan I, Belzile F. Identification of candidate domestication-related genes with a systematic survey of loss-of-function mutations. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2018; 96:1218-1227. [PMID: 30246271 DOI: 10.1111/tpj.14104] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Revised: 09/17/2018] [Accepted: 09/18/2018] [Indexed: 06/08/2023]
Abstract
Domestication is an important key co-evolutionary process through which humans have extensively altered the genomic make-up and appearance of both plants and animals. The identification of domestication-related genes remains very arduous. In this study, we present a systematic analytical approach that harnesses two recent advances in genomics, whole-genome sequencing (WGS) and prediction of loss-of-function (LOF) mutations, to greatly facilitate the assembly of an enriched catalogue of domestication-related candidate genes. Using WGS data for 296 cultivated (Glycine max) and 64 wild soybean accessions, we identified 8699 LOF variants, and 116 genes that are uniquely fixed for one or more LOF allele(s) in domesticated soybeans. Existing soybean transcriptomic data led us to overcome analytical challenges associated with whole-genome duplications and to identify neo- or subfunctionalized genes. This systematic approach allowed us to identify 110 candidate domestication-related genes in an efficient and rapid way. This catalogue contains previously well characterized domestication genes in soybean, as well as some orthologs from other domesticated crop species. In addition, it comprises many promising candidate domestication genes. Overall, this collection of candidate domestication-related genes in soybean is almost twice as large as the sum of all previously reported candidate genes in all other crops. We believe this systematic approach could readily be used in wide range of species.
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Affiliation(s)
- Davoud Torkamaneh
- Département de Phytologie, Université Laval, Québec City, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
- Department of Plant Agriculture, Crop Science Bldg., University of Guelph, Guelph, ON, Canada
| | - Jérôme Laroche
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
| | - Istvan Rajcan
- Department of Plant Agriculture, Crop Science Bldg., University of Guelph, Guelph, ON, Canada
| | - François Belzile
- Département de Phytologie, Université Laval, Québec City, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec City, QC, Canada
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97
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Wallace JG, Rodgers-Melnick E, Buckler ES. On the Road to Breeding 4.0: Unraveling the Good, the Bad, and the Boring of Crop Quantitative Genomics. Annu Rev Genet 2018; 52:421-444. [DOI: 10.1146/annurev-genet-120116-024846] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Understanding the quantitative genetics of crops has been and will continue to be central to maintaining and improving global food security. We outline four stages that plant breeding either has already achieved or will probably soon achieve. Top-of-the-line breeding programs are currently in Breeding 3.0, where inexpensive, genome-wide data coupled with powerful algorithms allow us to start breeding on predicted instead of measured phenotypes. We focus on three major questions that must be answered to move from current Breeding 3.0 practices to Breeding 4.0: ( a) How do we adapt crops to better fit agricultural environments? ( b) What is the nature of the diversity upon which breeding can act? ( c) How do we deal with deleterious variants? Answering these questions and then translating them to actual gains for farmers will be a significant part of achieving global food security in the twenty-first century.
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Affiliation(s)
- Jason G. Wallace
- Department of Crop and Soil Sciences, The University of Georgia, Athens, Georgia 30602, USA
| | | | - Edward S. Buckler
- United States Department of Agriculture, Agricultural Research Service, Ithaca, New York 14853, USA
- Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853, USA
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98
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Penso-Dolfin L, Moxon S, Haerty W, Di Palma F. The evolutionary dynamics of microRNAs in domestic mammals. Sci Rep 2018; 8:17050. [PMID: 30451897 PMCID: PMC6242877 DOI: 10.1038/s41598-018-34243-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 10/11/2018] [Indexed: 12/11/2022] Open
Abstract
MiRNAs are crucial regulators of gene expression found across both the plant and animal kingdoms. While the number of annotated miRNAs deposited in miRBase has greatly increased in recent years, few studies provided comparative analyses across sets of related species, or investigated the role of miRNAs in the evolution of gene regulation. We generated small RNA libraries across 5 mammalian species (cow, dog, horse, pig and rabbit) from 4 different tissues (brain, heart, kidney and testis). We identified 1676 miRBase and 413 novel miRNAs by manually curating the set of computational predictions obtained from miRCat and miRDeep2. Our dataset spanning five species has enabled us to investigate the molecular mechanisms and selective pressures driving the evolution of miRNAs in mammals. We highlight the important contributions of intronic sequences (366 orthogroups), duplication events (135 orthogroups) and repetitive elements (37 orthogroups) in the emergence of new miRNA loci. We use this framework to estimate the patterns of gains and losses across the phylogeny, and observe high levels of miRNA turnover. Additionally, the identification of lineage-specific losses enables the characterisation of the selective constraints acting on the associated target sites. Compared to the miRBase subset, novel miRNAs tend to be more tissue specific. 20 percent of novel orthogroups are restricted to the brain, and their target repertoires appear to be enriched for neuron activity and differentiation processes. These findings may reflect an important role for young miRNAs in the evolution of brain expression plasticity. Many seed sequences appear to be specific to either the cow or the dog. Analyses on the associated targets highlight the presence of several genes under artificial positive selection, suggesting an involvement of these miRNAs in the domestication process. Altogether, we provide an overview on the evolutionary mechanisms responsible for miRNA turnover in 5 domestic species, and their possible contribution to the evolution of gene regulation.
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Affiliation(s)
- Luca Penso-Dolfin
- Earlham Institute, Norwich Research Park, Colney Lane, Norwich, NR47UZ, United Kingdom.
| | - Simon Moxon
- University of East Anglia, Norwich Research Park, Norwich, NR47TJ, United Kingdom
| | - Wilfried Haerty
- Earlham Institute, Norwich Research Park, Colney Lane, Norwich, NR47UZ, United Kingdom
| | - Federica Di Palma
- Earlham Institute, Norwich Research Park, Colney Lane, Norwich, NR47UZ, United Kingdom.
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99
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Improved reference genome for the domestic horse increases assembly contiguity and composition. Commun Biol 2018; 1:197. [PMID: 30456315 PMCID: PMC6240028 DOI: 10.1038/s42003-018-0199-z] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2018] [Accepted: 10/16/2018] [Indexed: 11/30/2022] Open
Abstract
Recent advances in genomic sequencing technology and computational assembly methods have allowed scientists to improve reference genome assemblies in terms of contiguity and composition. EquCab2, a reference genome for the domestic horse, was released in 2007. Although of equal or better quality compared to other first-generation Sanger assemblies, it had many of the shortcomings common to them. In 2014, the equine genomics research community began a project to improve the reference sequence for the horse, building upon the solid foundation of EquCab2 and incorporating new short-read data, long-read data, and proximity ligation data. Here, we present EquCab3. The count of non-N bases in the incorporated chromosomes is improved from 2.33 Gb in EquCab2 to 2.41 Gb in EquCab3. Contiguity has also been improved nearly 40-fold with a contig N50 of 4.5 Mb and scaffold contiguity enhanced to where all but one of the 32 chromosomes is comprised of a single scaffold. Theodore Kalbfleisch et al. present an improved genome assembly for the domestic horse by combining short- and long-read data, as well as proximity ligation data. They improve contiguity of the assembly by 40-fold, with a 10-fold reduction in gaps.
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100
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Giuffra E, Tuggle CK. Functional Annotation of Animal Genomes (FAANG): Current Achievements and Roadmap. Annu Rev Anim Biosci 2018; 7:65-88. [PMID: 30427726 DOI: 10.1146/annurev-animal-020518-114913] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Functional annotation of genomes is a prerequisite for contemporary basic and applied genomic research, yet farmed animal genomics is deficient in such annotation. To address this, the FAANG (Functional Annotation of Animal Genomes) Consortium is producing genome-wide data sets on RNA expression, DNA methylation, and chromatin modification, as well as chromatin accessibility and interactions. In addition to informing our understanding of genome function, including comparative approaches to elucidate constrained sequence or epigenetic elements, these annotation maps will improve the precision and sensitivity of genomic selection for animal improvement. A scientific community-driven effort has already created a coordinated data collection and analysis enterprise crucial for the success of this global effort. Although it is early in this continuing process, functional data have already been produced and application to genetic improvement reported. The functional annotation delivered by the FAANG initiative will add value and utility to the greatly improved genome sequences being established for domesticated animal species.
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Affiliation(s)
- Elisabetta Giuffra
- Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA), AgroParisTech, Université Paris Saclay, 78350 Jouy-en-Josas, France;
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