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Yokomori T, Tozaki T, Ohnuma A, Ishimaru M, Sato F, Hori Y, Segawa T, Itou T. Non-Synonymous Substitutions in Cadherin 13, Solute Carrier Family 6 Member 4, and Monoamine Oxidase A Genes are Associated with Personality Traits in Thoroughbred Horses. Behav Genet 2024; 54:333-341. [PMID: 38856811 DOI: 10.1007/s10519-024-10186-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/28/2024] [Indexed: 06/11/2024]
Abstract
Retraining retired racehorses for various purposes can help correct behavioral issues. However, ensuring efficiency and preventing accidents present global challenges. Based on the hypothesis that a simple personality assessment could help address these challenges, the present study aimed to identify genetic markers associated with personality. Eight genes were selected from 18 personality-related candidate genes that are orthologs of human personality genes, and their association with personality was verified based on actual behavior. A total of 169 Thoroughbred horses were assessed for their tractability (questionnaire concerning tractability in 14 types of situations and 3 types of impressions) during the training process. Personality factors were extracted from the data using principal component analysis and analyzed for their association with single nucleotide variants as non-synonymous substitutions in the target genes. Three genes, CDH13, SLC6A4, and MAOA, demonstrated significant associations based on simple linear regression, marking the identification of these genes for the first time as contributors to temperament in Thoroughbred horses. All these genes, as well as the previously identified HTR1A, are involved in the serotonin neurotransmitter system, suggesting that the tractability of horses may be correlated with their social personality. Assessing the genotypes of these genes before retraining is expected to prevent problems in the development of a racehorse's second career and shorten the training period through individual customization of training methods, thereby improving racehorse welfare.
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Affiliation(s)
- Tamu Yokomori
- Department of Preventive Veterinary Medicine and Animal Health, Nihon University Veterinary Research Center, Fujisawa, Kanagawa, Japan
| | - Teruaki Tozaki
- Genetic Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Tochigi, Japan.
| | - Aoi Ohnuma
- Genetic Analysis Department, Laboratory of Racing Chemistry, Utsunomiya, Tochigi, Japan
| | - Mutsuki Ishimaru
- Japan Racing Association, Hidaka Training and Research Center, Urakawa, Hokkaido, Japan
| | - Fumio Sato
- Japan Racing Association, Hidaka Training and Research Center, Urakawa, Hokkaido, Japan
| | - Yusuke Hori
- Graduate School of Arts and Sciences, Department of Life Sciences, The University of Tokyo, Meguro, Tokyo, Japan
| | - Takao Segawa
- Department of Preventive Veterinary Medicine and Animal Health, Nihon University Veterinary Research Center, Fujisawa, Kanagawa, Japan
| | - Takuya Itou
- Department of Preventive Veterinary Medicine and Animal Health, Nihon University Veterinary Research Center, Fujisawa, Kanagawa, Japan.
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Zhu S, Zhang N, Zhang J, Shao X, Guo Y, Cai D. Ancient Mitochondrial Genomes Provide New Clues in the History of the Akhal-Teke Horse in China. Genes (Basel) 2024; 15:790. [PMID: 38927726 PMCID: PMC11203007 DOI: 10.3390/genes15060790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/11/2024] [Accepted: 06/13/2024] [Indexed: 06/28/2024] Open
Abstract
This study analyzed ancient DNA from the remains of horses unearthed from the Shihuyao tombs. These were found to date from the Han and Tang Dynasties in Xinjiang (approximately 2200 to 1100 years ago). Two high-quality mitochondrial genomes were acquired and analyzed using next-generation sequencing. The genomes were split into two maternal haplogroups, B and D, according to a study that included ancient and contemporary samples from Eurasia. A close genetic affinity was observed between the horse of the Tang Dynasty and Akhal-Teke horses according to the primitive horse haplotype G1. Historical evidence suggests that the ancient Silk Road had a vital role in their dissemination. Additionally, the matrilineal history of the Akhal-Teke horse was accessed and suggested that the early domestication of the breed was for military purposes.
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Affiliation(s)
- Siqi Zhu
- Department of Archaeology, School of History, Wuhan University, Wuhan 430072, China;
| | - Naifan Zhang
- Research Center for Chinese Frontier Archaeology of Jilin University, Changchun 130012, China; (N.Z.); (Y.G.)
- National Centre for Archaeology, Beijing 100013, China
| | - Jie Zhang
- Xinjiang Institute of Cultural Relics and Archaeology, Ürümqi 830011, China;
| | - Xinyue Shao
- Department of Archaeology, University of Southampton, Avenue Campus, Southampton SO17 1BF, UK;
| | - Yaqi Guo
- Research Center for Chinese Frontier Archaeology of Jilin University, Changchun 130012, China; (N.Z.); (Y.G.)
| | - Dawei Cai
- Research Center for Chinese Frontier Archaeology of Jilin University, Changchun 130012, China; (N.Z.); (Y.G.)
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Amiri Roudbar M, Rosengren MK, Mousavi SF, Fegraeus K, Naboulsi R, Meadows JRS, Lindgren G. Effect of an endothelial regulatory module on plasma proteomics in exercising horses. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2024; 52:101265. [PMID: 38906044 DOI: 10.1016/j.cbd.2024.101265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 06/04/2024] [Accepted: 06/04/2024] [Indexed: 06/23/2024]
Abstract
Elite performing exercise requires an intricate modulation of the blood pressure to support the working muscles with oxygen. We have previously identified a genomic regulatory module that associates with differences in blood pressures of importance for elite performance in racehorses. This study aimed to determine the effect of the regulatory module on the protein repertoire. We sampled plasma from 12 Coldblooded trotters divided into two endothelial regulatory module haplotype groups, a sub-elite performing haplotype (SPH) and an elite performing haplotype (EPH), each at rest and exercise. The haplotype groups and their interaction were interrogated in two analyses, i) individual paired ratio analysis for identifying differentially abundant proteins of exercise (DAPE) and interaction (DAPI) between haplotype and exercise, and ii) unpaired ratio analysis for identifying differentially abundant protein of haplotype (DAPH). The proteomics analyses revealed a widespread change in plasma protein content during exercise, with a decreased tendency in protein abundance that is mainly related to lung function, tissue fluids, metabolism, calcium ion pathway and cellular energy metabolism. Furthermore, we provide the first investigation of the proteome variation due to the interaction between exercise and related blood pressure haplotypes, which this difference was related to a faster switch to the lipoprotein and lipid metabolism during exercise for EPH. The molecular signatures identified in the present study contribute to an improved understanding of exercise-related blood pressure regulation.
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Affiliation(s)
- Mahmoud Amiri Roudbar
- Department of Animal Science, Safiabad-Dezful Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Dezful 333, Iran.
| | - Maria K Rosengren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
| | - Seyedeh Fatemeh Mousavi
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
| | - Kim Fegraeus
- Department of Medical Sciences, Science for Life Laboratory, Uppsala University, Sweden.
| | - Rakan Naboulsi
- Department of Women's and Children's Health, Karolinska Institute, Tomtebodavägen 18A, Stockholm 17177, Sweden.
| | - Jennifer R S Meadows
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, 75132 Uppsala, Sweden.
| | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden; Center for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, 3001 Leuven, Belgium.
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Gmel A, Ricard A, Gerber V, Neuditschko M. Population structure and genomic diversity of the Einsiedler horse. Anim Genet 2024; 55:475-479. [PMID: 38520270 DOI: 10.1111/age.13421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 03/11/2024] [Accepted: 03/11/2024] [Indexed: 03/25/2024]
Abstract
The breeding history of the Einsiedler horse is closely connected with the Benedictine cloister Einsiedeln. In the mid-nineteenth century, it was decided to use European Warmblood stallions for cross-breeding and to abandon the selection of stallions. Since that time, it has only been possible to trace back the origin of Einsiedler horses using maternal ancestry information. Here, we collected high-density genotype data for European Warmblood horses (Selle Français, Swiss Warmblood and Einsiedler) and Franches-Montagnes horses, the last native Swiss horse breed, to unravel the current population structure of the Einsiedler horse. Using commonly applied methods to ascertain fine-scale population structures, it was not possible to clearly differentiate the Einsiedler from other European Warmblood horses. However, by means of runs of homozygosity (ROH) we were able to detect breed-specific ROH islands for the Einsiedler horse, including genes involved in domestication and adaptation to high altitude. Therefore, future breeding activities should involve the screening of these breed-specific ROH segments, the revival of cryopreserved sperm and the selection of Einsiedler stallions.
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Affiliation(s)
- Annik Gmel
- Animal GenoPhenomics, Agroscope, Posieux, Fribourg, Switzerland
- Equine Department, Vetsuisse Faculty, University of Zurich, Zurich, Switzerland
| | - Anne Ricard
- Institut National de la Recherche Agronomique, Domaine de Vilvert, Jouy-en-Josas, France
| | - Vinzenz Gerber
- Vetsuisse Faculty, University of Bern, Bern, Switzerland
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Nagashima A, Torii K, Ota C, Kato A. slc26a12-A novel member of the slc26 family, is located in tandem with slc26a2 in coelacanths, amphibians, reptiles, and birds. Physiol Rep 2024; 12:e16089. [PMID: 38828713 PMCID: PMC11145369 DOI: 10.14814/phy2.16089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 05/16/2024] [Accepted: 05/16/2024] [Indexed: 06/05/2024] Open
Abstract
Solute carrier family 26 (Slc26) is a family of anion exchangers with 11 members in mammals (named Slc26a1-a11). Here, we identified a novel member of the slc26 family, slc26a12, located in tandem with slc26a2 in the genomes of several vertebrate lineages. BLAST and synteny analyses of various jawed vertebrate genome databases revealed that slc26a12 is present in coelacanths, amphibians, reptiles, and birds but not in cartilaginous fishes, lungfish, mammals, or ray-finned fishes. In some avian and reptilian lineages such as owls, penguins, egrets, and ducks, and most turtles examined, slc26a12 was lost or pseudogenized. Phylogenetic analysis showed that Slc26a12 formed an independent branch with the other Slc26 members and Slc26a12, Slc26a1 and Slc26a2 formed a single branch, suggesting that these three members formed a subfamily in Slc26. In jawless fish, hagfish have two genes homologous to slc26a2 and slc26a12, whereas lamprey has a single gene homologous to slc26a2. African clawed frogs express slc26a12 in larval gills, skin, and fins. These results show that slc26a12 was present at least before the separation of lobe-finned fish and tetrapods; the name slc26a12 is appropriate because the gene duplication occurred in the distant past.
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Affiliation(s)
- Ayumi Nagashima
- School of Life Science and TechnologyTokyo Institute of TechnologyYokohamaJapan
| | - Kota Torii
- School of Life Science and TechnologyTokyo Institute of TechnologyYokohamaJapan
| | - Chihiro Ota
- School of Life Science and TechnologyTokyo Institute of TechnologyYokohamaJapan
| | - Akira Kato
- School of Life Science and TechnologyTokyo Institute of TechnologyYokohamaJapan
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Cornman RS. A genomic hotspot of diversifying selection and structural change in the hoary bat ( Lasiurus cinereus). PeerJ 2024; 12:e17482. [PMID: 38832043 PMCID: PMC11146322 DOI: 10.7717/peerj.17482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 05/07/2024] [Indexed: 06/05/2024] Open
Abstract
Background Previous work found that numerous genes positively selected within the hoary bat (Lasiurus cinereus) lineage are physically clustered in regions of conserved synteny. Here I further validate and expand on those finding utilizing an updated L. cinereus genome assembly and additional bat species as well as other tetrapod outgroups. Methods A chromosome-level assembly was generated by chromatin-contact mapping and made available by DNAZoo (www.dnazoo.org). The genomic organization of orthologous genes was extracted from annotation data for multiple additional bat species as well as other tetrapod clades for which chromosome-level assemblies were available from the National Center for Biotechnology Information (NCBI). Tests of branch-specific positive selection were performed for L. cinereus using PAML as well as with the HyPhy package for comparison. Results Twelve genes exhibiting significant diversifying selection in the L. cinereus lineage were clustered within a 12-Mb genomic window; one of these (Trpc4) also exhibited diversifying selection in bats generally. Ten of the 12 genes are landmarks of two distinct blocks of ancient synteny that are not linked in other tetrapod clades. Bats are further distinguished by frequent structural rearrangements within these synteny blocks, which are rarely observed in other Tetrapoda. Patterns of gene order and orientation among bat taxa are incompatible with phylogeny as presently understood, implying parallel evolution or subsequent reversals. Inferences of positive selection were found to be robust to alternative phylogenetic topologies as well as a strong shift in background nucleotide composition in some taxa. Discussion This study confirms and further localizes a genomic hotspot of protein-coding divergence in the hoary bat, one that also exhibits an increased tempo of structural change in bats compared with other mammals. Most genes in the two synteny blocks have elevated expression in brain tissue in humans and model organisms, and genetic studies implicate the selected genes in cranial and neurological development, among other functions.
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Affiliation(s)
- Robert S. Cornman
- U.S. Geological Survey, Fort Collins Science Center, Fort Collins, Colorado, United States
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7
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Wang Y, Huang Y, Zhen Y, Wang J, Wang L, Chen N, Wu F, Zhang L, Shen Y, Bi C, Li S, Pool K, Blache D, Maloney SK, Liu D, Yang Z, Li C, Yu X, Zhang Z, Chen Y, Xue C, Gu Y, Huang W, Yan L, Wei W, Wang Y, Zhang J, Zhang Y, Sun Y, Wang S, Zhao X, Luo C, Wang H, Ding L, Yang QY, Zhou P, Wang M. De novo transcriptome assembly database for 100 tissues from each of seven species of domestic herbivore. Sci Data 2024; 11:488. [PMID: 38734729 PMCID: PMC11088706 DOI: 10.1038/s41597-024-03338-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 05/02/2024] [Indexed: 05/13/2024] Open
Abstract
Domesticated herbivores are an important agricultural resource that play a critical role in global food security, particularly as they can adapt to varied environments, including marginal lands. An understanding of the molecular basis of their biology would contribute to better management and sustainable production. Thus, we conducted transcriptome sequencing of 100 to 105 tissues from two females of each of seven species of herbivore (cattle, sheep, goats, sika deer, horses, donkeys, and rabbits) including two breeds of sheep. The quality of raw and trimmed reads was assessed in terms of base quality, GC content, duplication sequence rate, overrepresented k-mers, and quality score distribution with FastQC. The high-quality filtered RNA-seq raw reads were deposited in a public database which provides approximately 54 billion high-quality paired-end sequencing reads in total, with an average mapping rate of ~93.92%. Transcriptome databases represent valuable resources that can be used to study patterns of gene expression, and pathways that are related to key biological processes, including important economic traits in herbivores.
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Affiliation(s)
- Yifan Wang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
- College of Life Science, Guizhou University, Guiyang, 550025, P. R. China
| | - Yiming Huang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Yongkang Zhen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Jiasheng Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Limin Wang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
| | - Ning Chen
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China
| | - Feifan Wu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Linna Zhang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Yizhao Shen
- College of Animal Science and Technology, Hebei Agricultural University, Baoding, 071033, P. R. China
| | - Congliang Bi
- College of Life Science, Linyi University, Linyi, 276005, P. R. China
| | - Song Li
- College of Life Science, Guizhou University, Guiyang, 550025, P. R. China
| | - Kelsey Pool
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia
| | - Dominique Blache
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia
| | - Shane K Maloney
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia
| | - Dongxu Liu
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Zhiquan Yang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Chuang Li
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Xiang Yu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Zhenbin Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yifei Chen
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Chun Xue
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yalan Gu
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Weidong Huang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Lu Yan
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Wenjun Wei
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yusu Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Jinying Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yifan Zhang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Yiquan Sun
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China
| | - Shengbo Wang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Xinle Zhao
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Chengfang Luo
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Haodong Wang
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China
| | - Luoyang Ding
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
- UWA Institute of Agriculture, The University of Western Australia, Perth, WA, 6009, Australia.
| | - Qing-Yong Yang
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
- Hubei Key Laboratory of Agricultural Bioinformatics and Hubei Engineering Technology Research Center of Agricultural Big Data, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
| | - Ping Zhou
- State Key Laboratory of Sheep Genetic Improvement and Healthy Production, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi, 832000, P. R. China.
| | - Mengzhi Wang
- College of Animal Science and Technology, Yangzhou University, Yangzhou, 225009, P. R. China.
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Whitfield-Cargile CM, Chung HC, Coleman MC, Cohen ND, Chamoun-Emanuelli AM, Ivanov I, Goldsby JS, Davidson LA, Gaynanova I, Ni Y, Chapkin RS. Integrated analysis of gut metabolome, microbiome, and exfoliome data in an equine model of intestinal injury. MICROBIOME 2024; 12:74. [PMID: 38622632 PMCID: PMC11017594 DOI: 10.1186/s40168-024-01785-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 02/29/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND The equine gastrointestinal (GI) microbiome has been described in the context of various diseases. The observed changes, however, have not been linked to host function and therefore it remains unclear how specific changes in the microbiome alter cellular and molecular pathways within the GI tract. Further, non-invasive techniques to examine the host gene expression profile of the GI mucosa have been described in horses but not evaluated in response to interventions. Therefore, the objectives of our study were to (1) profile gene expression and metabolomic changes in an equine model of non-steroidal anti-inflammatory drug (NSAID)-induced intestinal inflammation and (2) apply computational data integration methods to examine host-microbiota interactions. METHODS Twenty horses were randomly assigned to 1 of 2 groups (n = 10): control (placebo paste) or NSAID (phenylbutazone 4.4 mg/kg orally once daily for 9 days). Fecal samples were collected on days 0 and 10 and analyzed with respect to microbiota (16S rDNA gene sequencing), metabolomic (untargeted metabolites), and host exfoliated cell transcriptomic (exfoliome) changes. Data were analyzed and integrated using a variety of computational techniques, and underlying regulatory mechanisms were inferred from features that were commonly identified by all computational approaches. RESULTS Phenylbutazone induced alterations in the microbiota, metabolome, and host transcriptome. Data integration identified correlation of specific bacterial genera with expression of several genes and metabolites that were linked to oxidative stress. Concomitant microbiota and metabolite changes resulted in the initiation of endoplasmic reticulum stress and unfolded protein response within the intestinal mucosa. CONCLUSIONS Results of integrative analysis identified an important role for oxidative stress, and subsequent cell signaling responses, in a large animal model of GI inflammation. The computational approaches for combining non-invasive platforms for unbiased assessment of host GI responses (e.g., exfoliomics) with metabolomic and microbiota changes have broad application for the field of gastroenterology. Video Abstract.
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Affiliation(s)
- C M Whitfield-Cargile
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, USA.
| | - H C Chung
- Department of Statistics, College of Arts & Sciences, Texas A&M University, College Station, TX, USA
- Mathematics & Statistics Department, College of Science, University of North Carolina Charlotte, Charlotte, NC, USA
| | - M C Coleman
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - N D Cohen
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - A M Chamoun-Emanuelli
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - I Ivanov
- Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, USA
| | - J S Goldsby
- Program in Integrative Nutrition & Complex Diseases, College of Agriculture & Life Sciences, Texas A&M University, College Station, TX, USA
| | - L A Davidson
- Program in Integrative Nutrition & Complex Diseases, College of Agriculture & Life Sciences, Texas A&M University, College Station, TX, USA
| | - I Gaynanova
- Department of Statistics, College of Arts & Sciences, Texas A&M University, College Station, TX, USA
| | - Y Ni
- Department of Statistics, College of Arts & Sciences, Texas A&M University, College Station, TX, USA
| | - R S Chapkin
- Program in Integrative Nutrition & Complex Diseases, College of Agriculture & Life Sciences, Texas A&M University, College Station, TX, USA
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Heath H, Peng S, Szmatola T, Ryan S, Bellone R, Kalbfleisch T, Petersen J, Finno C. A Comprehensive Allele Specific Expression Resource for the Equine Transcriptome. RESEARCH SQUARE 2024:rs.3.rs-4182812. [PMID: 38645140 PMCID: PMC11030527 DOI: 10.21203/rs.3.rs-4182812/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Background Allele-specific expression (ASE) analysis provides a nuanced view of cis-regulatory mechanisms affecting gene expression. Results An equine ASE analysis was performed, using integrated Iso-seq and short-read RNA sequencing data from four healthy Thoroughbreds (2 mares and 2 stallions) across 9 tissues from the Functional Annotation of Animal Genomes (FAANG) project. Allele expression was quantified by haplotypes from long-read data, with 42,900 allele expression events compared. Within these events, 635 (1.48%) demonstrated ASE, with liver tissue containing the highest proportion. Genetic variants within ASE events were in histone modified regions 64.2% of the time. Validation of allele-specific variants, using a set of 66 equine liver samples from multiple breeds, confirmed that 97% of variants demonstrated ASE. Conclusions This valuable publicly accessible resource is poised to facilitate investigations into regulatory variation in equine tissues. Our results highlight the tissue-specific nature of allelic imbalance in the equine genome.
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10
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Wilkin T, Hamilton NA, Cawley AT, Bhat S, Baoutina A. PCR-Based Equine Gene Doping Test for the Australian Horseracing Industry. Int J Mol Sci 2024; 25:2570. [PMID: 38473816 DOI: 10.3390/ijms25052570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/14/2024] [Accepted: 02/19/2024] [Indexed: 03/14/2024] Open
Abstract
The term 'gene doping' is used to describe the use of any unauthorized gene therapy techniques. We developed a test for five likely candidate genes for equine gene doping: EPO, FST, GH1, IGF1, and ILRN1. The test is based on real-time polymerase chain reaction (PCR) and includes separate screening and confirmation assays that detect different unique targets in each transgene. For doping material, we used nonviral (plasmid) and viral (recombinant adeno-associated virus) vectors carrying complementary DNA for the targeted genes; the vectors were accurately quantified by digital PCR. To reduce non-specific amplification from genomic DNA observed in some assays, a restriction digest step was introduced in the PCR protocol prior to cycling to cut the amplifiable targets within the endogenous genes. We made the screening stage of the test simpler and faster by multiplexing PCR assays for four transgenes (EPO, FST, IGF1, and ILRN1), while the GH1 assay is performed in simplex. Both stages of the test reliably detect at least 20 copies of each transgene in a background of genomic DNA equivalent to what is extracted from two milliliters of equine blood. The test protocol was documented and tested with equine blood samples provided by an official doping control authority. The developed tests will form the basis for screening official horseracing samples in Australia.
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Affiliation(s)
- Tessa Wilkin
- National Measurement Institute, Lindfield, NSW 2070, Australia
- Faculty of Veterinary Science, University of Sydney, Camperdown, NSW 2006, Australia
| | - Natasha A Hamilton
- Faculty of Veterinary Science, University of Sydney, Camperdown, NSW 2006, Australia
- Equine Genetics Research Centre, Racing Australia, Sydney, NSW 2000, Australia
| | - Adam T Cawley
- Australian Racing Forensic Laboratory, Racing NSW, Sydney, NSW 2000, Australia
- Racing Analytical Services Limited, Flemington, VIC 3031, Australia
| | - Somanath Bhat
- National Measurement Institute, Lindfield, NSW 2070, Australia
| | - Anna Baoutina
- National Measurement Institute, Lindfield, NSW 2070, Australia
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11
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Heath HD, Peng S, Szmatola T, Bellone RR, Kalbfleisch T, Petersen JL, Finno CJ. A Comprehensive Allele Specific Expression Resource for the Equine Transcriptome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.12.31.573798. [PMID: 38260378 PMCID: PMC10802363 DOI: 10.1101/2023.12.31.573798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background Allele-specific expression (ASE) analysis provides a nuanced view of cis-regulatory mechanisms affecting gene expression. Results In this work, we introduce and highlight the significance of an equine ASE analysis, containing integrated long- and short-read RNA sequencing data, along with insight from histone modification data, from four healthy Thoroughbreds (2 mares and 2 stallions) across 9 tissues. Conclusions This valuable publicly accessible resource is poised to facilitate investigations into regulatory variation in equine tissues and foster a deeper understanding of the impact of allelic imbalance in equine health and disease at the molecular level.
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12
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Alhaddad H, Powell BB, Pinto LD, Sutter N, Brooks SA, Alhajeri BH. Geometric morphometrics of face profile across horse breeds and within Arabian horses. J Equine Vet Sci 2024; 132:104980. [PMID: 38070586 DOI: 10.1016/j.jevs.2023.104980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 11/08/2023] [Accepted: 12/06/2023] [Indexed: 12/20/2023]
Abstract
Horse traits under selection are largely quantitative and affected by multiple genes. Horse face shape is an example of a continuous trait, which due to the reliance on observational assessments, is classified into; "dished", "straight", and "roman-nosed". This categorization is often inadequate to convey the full spectrum of the face shape variation especially for genetic studies. The first objective of the current study was to use geometric morphometric methods to quantitatively phenotype face shapes and examine its variation across horse breeds. The second objective was to analyze the face shape variation within Arabian horses since face shape is (1) favored, valued, and genetically selected in certain lineages (e.g. Egyptian), (2) is evaluated by registries and scored in shows, and (3) in its extreme forms pose health concerns. We digitized landmarks on lateral profile photos, particularly on the dorsal curvature of the rostrum, and subjected these landmarks to Generalized Procrustes Analysis to generate independent shape and size variables which were statistically compared across breeds and within Arabians. Horse breeds varied in nasal curvature, ranging from extremely concave to extremely convex, with over 70 % of horse breeds exhibiting intermediate concavity (i.e., straight profile). Interestingly, Arabian horses possessed the highest diversity in face profile and individuals clustered into three distinct shape sub-groups (one dished and two straight profile clusters). Our quantitative phenotyping method can be the basis of future genetic studies of facial profile within Arabian lineages as a favored traits and potentially manage its extreme forms as a likely genetic disease.
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Affiliation(s)
- H Alhaddad
- Department of Biological Sciences, Kuwait University, Shadadiya, Kuwait.
| | - B B Powell
- Department of Animal Science, UF Genetics Institute, University of Florida, Gainesville, Florida, USA
| | - L Del Pinto
- Biology Department, La Sierra University, Riverside, California, USA
| | - N Sutter
- Biology Department, La Sierra University, Riverside, California, USA
| | - S A Brooks
- Department of Animal Science, UF Genetics Institute, University of Florida, Gainesville, Florida, USA
| | - B H Alhajeri
- Department of Biological Sciences, Kuwait University, Shadadiya, Kuwait
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13
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Jevit MJ, Castaneda C, Paria N, Das PJ, Miller D, Antczak DF, Kalbfleisch TS, Davis BW, Raudsepp T. Trio-binning of a hinny refines the comparative organization of the horse and donkey X chromosomes and reveals novel species-specific features. Sci Rep 2023; 13:20180. [PMID: 37978222 PMCID: PMC10656420 DOI: 10.1038/s41598-023-47583-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023] Open
Abstract
We generated single haplotype assemblies from a hinny hybrid which significantly improved the gapless contiguity for horse and donkey autosomal genomes and the X chromosomes. We added over 15 Mb of missing sequence to both X chromosomes, 60 Mb to donkey autosomes and corrected numerous errors in donkey and some in horse reference genomes. We resolved functionally important X-linked repeats: the DXZ4 macrosatellite and ampliconic Equine Testis Specific Transcript Y7 (ETSTY7). We pinpointed the location of the pseudoautosomal boundaries (PAB) and determined the size of the horse (1.8 Mb) and donkey (1.88 Mb) pseudoautosomal regions (PARs). We discovered distinct differences in horse and donkey PABs: a testis-expressed gene, XKR3Y, spans horse PAB with exons1-2 located in Y and exon3 in the X-Y PAR, whereas the donkey XKR3Y is Y-specific. DXZ4 had a similar ~ 8 kb monomer in both species with 10 copies in horse and 20 in donkey. We assigned hundreds of copies of ETSTY7, a sequence horizontally transferred from Parascaris and massively amplified in equids, to horse and donkey X chromosomes and three autosomes. The findings and products contribute to molecular studies of equid biology and advance research on X-linked conditions, sex chromosome regulation and evolution in equids.
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Affiliation(s)
- Matthew J Jevit
- School of Veterinary Medicine, Texas A&M University, College Station, TX, 77843, USA
| | - Caitlin Castaneda
- School of Veterinary Medicine, Texas A&M University, College Station, TX, 77843, USA
| | - Nandina Paria
- Texas Scottish Rite Hospital for Children, Dallas, TX, 75219, USA
| | - Pranab J Das
- ICAR-National Research Centre on Pig, Rani, Guwahati, Assam, 781131, India
| | - Donald Miller
- Baker Institute for Animal Health, Cornell University, Ithaca, NY, 14853, USA
| | - Douglas F Antczak
- Baker Institute for Animal Health, Cornell University, Ithaca, NY, 14853, USA
| | - Theodore S Kalbfleisch
- Maxwell H. Gluck Equine Research Center, University of Kentucky, Lexington, KY, 40546, USA
| | - Brian W Davis
- School of Veterinary Medicine, Texas A&M University, College Station, TX, 77843, USA.
| | - Terje Raudsepp
- School of Veterinary Medicine, Texas A&M University, College Station, TX, 77843, USA.
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14
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Cappelli K, Mecocci S, Porceddu A, Albertini E, Giontella A, Miglio A, Silvestrelli M, Verini Supplizi A, Marconi G, Capomaccio S. Genome-wide epigenetic modifications in sports horses during training as an adaptation phenomenon. Sci Rep 2023; 13:18786. [PMID: 37914824 PMCID: PMC10620398 DOI: 10.1038/s41598-023-46043-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 10/26/2023] [Indexed: 11/03/2023] Open
Abstract
With his bicentennial breeding history based on athletic performance, the Thoroughbred horse can be considered the equine sport breed. Although genomic and transcriptomic tools and knowledge are at the state of the art in equine species, the epigenome and its modifications in response to environmental stimuli, such as training, are less studied. One of the major epigenetic modifications is cytosine methylation at 5' of DNA molecules. This crucial biochemical modification directly mediates biological processes and, to some extent, determines the organisms' phenotypic plasticity. Exercise indeed affects the epigenomic state, both in humans and in horses. In this study, we highlight, with a genome-wide analysis of methylation, how the adaptation to training in the Thoroughbred can modify the methylation pattern throughout the genome. Twenty untrained horses, kept under the same environmental conditions and sprint training regimen, were recruited, collecting peripheral blood at the start of the training and after 30 and 90 days. Extracted leukocyte DNA was analyzed with the methylation content sensitive enzyme ddRAD (MCSeEd) technique for the first time applied to animal cells. Approximately one thousand differently methylated genomic regions (DMRs) and nearby genes were called, revealing that methylation changes can be found in a large part of the genome and, therefore, referable to the physiological adaptation to training. Functional analysis via GO enrichment was also performed. We observed significant differences in methylation patterns throughout the training stages: we hypothesize that the methylation profile of some genes can be affected early by training, while others require a more persistent stimulus.
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Affiliation(s)
- Katia Cappelli
- Department of Veterinary Medicine, University of Perugia, 06123, Perugia, Italy
- Sports Horse Research Center (CRCS), University of Perugia, 06123, Perugia, Italy
| | - Samanta Mecocci
- Department of Veterinary Medicine, University of Perugia, 06123, Perugia, Italy.
- Sports Horse Research Center (CRCS), University of Perugia, 06123, Perugia, Italy.
| | - Andrea Porceddu
- Department of Agraria, University of Sassari, 06123, Sassari, Italy
| | - Emidio Albertini
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy
| | - Andrea Giontella
- Department of Veterinary Medicine, University of Perugia, 06123, Perugia, Italy
- Sports Horse Research Center (CRCS), University of Perugia, 06123, Perugia, Italy
| | - Arianna Miglio
- Department of Veterinary Medicine, University of Perugia, 06123, Perugia, Italy
- Sports Horse Research Center (CRCS), University of Perugia, 06123, Perugia, Italy
| | - Maurizio Silvestrelli
- Department of Veterinary Medicine, University of Perugia, 06123, Perugia, Italy
- Sports Horse Research Center (CRCS), University of Perugia, 06123, Perugia, Italy
| | - Andrea Verini Supplizi
- Department of Veterinary Medicine, University of Perugia, 06123, Perugia, Italy
- Sports Horse Research Center (CRCS), University of Perugia, 06123, Perugia, Italy
| | - Gianpiero Marconi
- Department of Agricultural, Food and Environmental Sciences, University of Perugia, 06121, Perugia, Italy
| | - Stefano Capomaccio
- Department of Veterinary Medicine, University of Perugia, 06123, Perugia, Italy
- Sports Horse Research Center (CRCS), University of Perugia, 06123, Perugia, Italy
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15
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Yang G, Sun M, Wang Z, Hu Q, Guo J, Yu J, Lei C, Dang R. Comparative Genomics Identifies the Evolutionarily Conserved Gene TPM3 as a Target of eca-miR-1 Involved in the Skeletal Muscle Development of Donkeys. Int J Mol Sci 2023; 24:15440. [PMID: 37895119 PMCID: PMC10607226 DOI: 10.3390/ijms242015440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 10/10/2023] [Accepted: 10/19/2023] [Indexed: 10/29/2023] Open
Abstract
Species within the genus Equus are valued for their draft ability. Skeletal muscle forms the foundation of the draft ability of Equus species; however, skeletal muscle development-related conserved genes and their target miRNAs are rarely reported for Equus. In this study, a comparative genomics analysis was performed among five species (horse, donkey, zebra, cattle, and goat), and the results showed that a total of 15,262 (47.43%) genes formed the core gene set of the five species. Only nine chromosomes (Chr01, Chr02, Chr03, Chr06, Chr10, Chr18, Chr22, Chr27, Chr29, and Chr30) exhibited a good collinearity relationship among Equus species. The micro-synteny analysis results showed that TPM3 was evolutionarily conserved in chromosome 1 in Equus. Furthermore, donkeys were used as the model species for Equus to investigate the genetic role of TPM3 in muscle development. Interestingly, the results of comparative transcriptomics showed that the TPM3 gene was differentially expressed in donkey skeletal muscle S1 (2 months old) and S2 (24 months old), as verified via RT-PCR. Dual-luciferase test analysis showed that the TPM3 gene was targeted by differentially expressed miRNA (eca-miR-1). Furthermore, a total of 17 TPM3 gene family members were identified in the whole genome of donkey, and a heatmap analysis showed that EaTPM3-5 was a key member of the TPM3 gene family, which is involved in skeletal muscle development. In conclusion, the TPM3 gene was conserved in Equus, and EaTPM3-5 was targeted by eca-miR-1, which is involved in skeletal muscle development in donkeys.
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Affiliation(s)
| | | | | | | | | | | | | | - Ruihua Dang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, Xianyang 712100, China; (G.Y.); (M.S.); (Z.W.); (Q.H.); (J.G.); (J.Y.); (C.L.)
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16
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Yan C, Xie HB, Adeola AC, Fu Y, Liu X, Zhao S, Han J, Peng MS, Zhang YP. Inference of ancestral alleles in the pig reference genome. Anim Genet 2023; 54:649-651. [PMID: 37329125 DOI: 10.1111/age.13337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 06/06/2023] [Accepted: 06/06/2023] [Indexed: 06/18/2023]
Affiliation(s)
- Chen Yan
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Hai-Bing Xie
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Yuhua Fu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan, China
| | - Xiaolei Liu
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Ministry of Education, Key Laboratory of Swine Genetics and Breeding, Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan, China
- Frontiers Science Center for Animal Breeding and Sustainable Production, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Jianlin Han
- International Livestock Research Institute, Nairobi, Kenya
- CAAS-ILRI Joint Laboratory on Livestock and Forage Genetic Resources, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution and Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming, China
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
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17
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Cappelletti E, Piras FM, Sola L, Santagostino M, Petersen JL, Bellone RR, Finno CJ, Peng S, Kalbfleisch TS, Bailey E, Nergadze SG, Giulotto E. The localization of centromere protein A is conserved among tissues. Commun Biol 2023; 6:963. [PMID: 37735603 PMCID: PMC10514049 DOI: 10.1038/s42003-023-05335-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 09/08/2023] [Indexed: 09/23/2023] Open
Abstract
Centromeres are epigenetically specified by the histone H3 variant CENP-A. Although mammalian centromeres are typically associated with satellite DNA, we previously demonstrated that the centromere of horse chromosome 11 (ECA11) is completely devoid of satellite DNA. We also showed that the localization of its CENP-A binding domain is not fixed but slides within an about 500 kb region in different individuals, giving rise to positional alleles. These epialleles are inherited as Mendelian traits but their position can move in one generation. It is still unknown whether centromere sliding occurs during meiosis or during development. Here, we first improve the sequence of the ECA11 centromeric region in the EquCab3.0 assembly. Then, to test whether centromere sliding may occur during development, we map the CENP-A binding domains of ECA11 using ChIP-seq in five tissues of different embryonic origin from the four horses of the equine FAANG (Functional Annotation of ANimal Genomes) consortium. Our results demonstrate that the centromere is localized in the same region in all tissues, suggesting that the position of the centromeric domain is maintained during development.
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Affiliation(s)
| | - Francesca M Piras
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Lorenzo Sola
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Marco Santagostino
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Jessica L Petersen
- Department of Animal Science, University of Nebraska-Lincoln, Lincoln, NE, USA
| | - Rebecca R Bellone
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Carrie J Finno
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Sichong Peng
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA
| | - Ted S Kalbfleisch
- Gluck Equine Research Center, University of Kentucky, Lexington, KY, USA
| | - Ernest Bailey
- Gluck Equine Research Center, University of Kentucky, Lexington, KY, USA
| | - Solomon G Nergadze
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy
| | - Elena Giulotto
- Department of Biology and Biotechnology, University of Pavia, Pavia, Italy.
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18
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de la Fuente A, Scoggin C, Bradecamp E, Martin-Pelaez S, van Heule M, Troedsson M, Daels P, Meyers S, Dini P. Transcriptome Signature of Immature and In Vitro-Matured Equine Cumulus-Oocytes Complex. Int J Mol Sci 2023; 24:13718. [PMID: 37762020 PMCID: PMC10531358 DOI: 10.3390/ijms241813718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 08/31/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Maturation is a critical step in the development of an oocyte, and it is during this time that the oocyte advances to metaphase II (MII) of the meiotic cycle and acquires developmental competence to be fertilized and become an embryo. However, in vitro maturation (IVM) remains one of the limiting steps in the in vitro production of embryos (IVP), with a variable percentage of oocytes reaching the MII stage and unpredictable levels of developmental competence. Understanding the dynamics of oocyte maturation is essential for the optimization of IVM culture conditions and subsequent IVP outcomes. Thus, the aim of this study was to elucidate the transcriptome dynamics of oocyte maturation by comparing transcriptomic changes during in vitro maturation in both oocytes and their surrounding cumulus cells. Cumulus-oocyte complexes were obtained from antral follicles and divided into two groups: immature and in vitro-matured (MII). RNA was extracted separately from oocytes (OC) and cumulus cells (CC), followed by library preparation and RNA sequencing. A total of 13,918 gene transcripts were identified in OC, with 538 differentially expressed genes (DEG) between immature OC and in vitro-matured OC. In CC, 13,104 genes were expressed with 871 DEG. Gene ontology (GO) analysis showed an association between the DEGs and pathways relating to nuclear maturation in OC and GTPase activity, extracellular matrix organization, and collagen trimers in CC. Additionally, the follicle-stimulating hormone receptor gene (FSHR) and luteinizing hormone/choriogonadotropin receptor gene (LHCGR) showed differential expressions between CC-MII and immature CC samples. Overall, these results serve as a foundation to further investigate the biological pathways relevant to oocyte maturation in horses and pave the road to improve the IVP outcomes and the overall clinical management of equine assisted reproductive technologies (ART).
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Affiliation(s)
- Alejandro de la Fuente
- Department of Anatomy, Physiology and Cell Biology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Charles Scoggin
- LeBlanc Reproduction Center, Rood and Riddle Equine Hospital, Lexington, KY 40511, USA
| | - Etta Bradecamp
- LeBlanc Reproduction Center, Rood and Riddle Equine Hospital, Lexington, KY 40511, USA
| | - Soledad Martin-Pelaez
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Machteld van Heule
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
- Department of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, University of Ghent, 9820 Merelbeke, Belgium
| | - Mats Troedsson
- Gluck Equine Research Center, University of Kentucky, Lexington, KY 40506, USA
| | - Peter Daels
- Department of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, University of Ghent, 9820 Merelbeke, Belgium
| | - Stuart Meyers
- Department of Anatomy, Physiology and Cell Biology, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Pouya Dini
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
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19
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McFadden A, Martin K, Foster G, Vierra M, Lundquist EW, Everts RE, Martin E, Volz E, McLoone K, Brooks SA, Lafayette C. Two Novel Variants in MITF and PAX3 Associated With Splashed White Phenotypes in Horses. J Equine Vet Sci 2023; 128:104875. [PMID: 37406837 DOI: 10.1016/j.jevs.2023.104875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 07/07/2023]
Abstract
Mutations causing depigmentation are relatively common in Equus caballus (horse). Over 40 alleles in multiple genes are associated with increased white spotting (as of February 2023). The splashed white phenotype, a coat spotting pattern described as appearing like the horse has been splashed with white paint, was previously associated with variants in the PAX3 and MITF genes. Both genes encode transcription factors known to control melanocyte migration and pigmentation. We report two novel mutations, a stop-gain mutation in PAX3 (XM_005610643.3:c.927C>T, ECA6:11,196,181, EquCab3.0) and a missense mutation in a binding domain of MITF (NM_001163874.1:c.993A>T, ECA16:21,559,940, EquCab3.0), each with a strong association with increased depigmentation in Pura Raza Española horses (P = 1.144E-11, N = 30, P = 4.441E-16, N = 39 respectively). Using a quantitative method to score depigmentation, the PAX3 and MITF mutations were found to have average white scores of 25.50 and 24.45, respectively, compared to the average white coat spotting score of 1.89 in the control set. The functional impact for each mutation was predicted to be moderate to extreme (I-TASSER, SMART, Variant Effect Predictor, SIFT). We propose to designate the MITF mutant allele as Splashed White 9 and the PAX3 mutant allele as Splashed White 10 per convention.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Samantha A Brooks
- Department of Animal Sciences, University of Florida, Gainesville, FL
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20
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Pozharskiy A, Abdrakhmanova A, Beishova I, Shamshidin A, Nametov A, Ulyanova T, Bekova G, Kikebayev N, Kovalchuk A, Ulyanov V, Turabayev A, Khusnitdinova M, Zhambakin K, Sapakhova Z, Shamekova M, Gritsenko D. Genetic structure and genome-wide association study of the traditional Kazakh horses. Animal 2023; 17:100926. [PMID: 37611435 DOI: 10.1016/j.animal.2023.100926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/17/2023] [Accepted: 07/20/2023] [Indexed: 08/25/2023] Open
Abstract
Horses are traditionally used in Kazakhstan as a source of food and as working and saddle animals as well. Here, for the first time, microarray-based medium-density single nucleotide polymorphism (SNP) genotyping of six traditionally defined types and breeds of indigenous Kazakh horses was conducted to reveal their genetic structure and find markers associated with animal size and weight. The results showed that the predefined separation between breeds and sampled populations was not supported by the molecular data. The lack of genetic variation between breeds and populations was revealed by the principal component analysis, ADMIXTURE, and distance-based analyses, as well as the general population parameters expected and observed heterozygosity (He and Ho) and between-group fixation index (Fst). The analysis revealed that the studied types and breeds should be considered as a single breed, namely the 'Kazakh horse'. The comparison with previously published data on global horse breed diversity revealed the relatively high level of individual diversity of Kazakh horses in comparison with the well-known foreign breeds. The Mongolian and Tuva breeds were identified as the closest horse landraces, demonstrating similar patterns of internal variability. The genome-wide association analysis was performed for animal size and weight as the traits directly related with the meat productivity of horses. The analysis identified a set of 60 SNPs linked with horse genes involved in the regulation of processes of development of connective tissues and the bone system, neural system, immune system regulation, and other processes. The present study is novel and introduces Kazakh horses as a promising genetic source for horse breeding and selection both on the domestic and international levels.
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Affiliation(s)
- Alexandr Pozharskiy
- Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040 Almaty, Kazakhstan; Al-Farabi Kazakh National University, Al-Farabi Ave. 71, 050040 Almaty, Kazakhstan
| | - Aisha Abdrakhmanova
- Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040 Almaty, Kazakhstan
| | - Indira Beishova
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan.
| | - Alzhan Shamshidin
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Askar Nametov
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Tatyana Ulyanova
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Gulmira Bekova
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Nabidulla Kikebayev
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Alexandr Kovalchuk
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Vadim Ulyanov
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Amangeldy Turabayev
- Zhengir Khan West-Kazakhstan Agrarian Technical University, Zhengir Khan Str. 51, 090009 Oral, Kazakhstan
| | - Marina Khusnitdinova
- Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040 Almaty, Kazakhstan
| | - Kabyl Zhambakin
- Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040 Almaty, Kazakhstan
| | - Zagipa Sapakhova
- Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040 Almaty, Kazakhstan
| | - Malika Shamekova
- Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040 Almaty, Kazakhstan
| | - Dilyara Gritsenko
- Institute of Plant Biology and Biotechnology, Timiryazev Str. 45, 050040 Almaty, Kazakhstan
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21
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Tozaki T, Ohnuma A, Kikuchi M, Ishige T, Kakoi H, Hirota KI, Nagata SI. Construction of an individual identification panel for horses using insertion and deletion markers. J Equine Sci 2023; 34:83-92. [PMID: 37781568 PMCID: PMC10534061 DOI: 10.1294/jes.34.83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 07/21/2023] [Indexed: 10/03/2023] Open
Abstract
Individual identification and paternity testing are important for avoiding inbreeding in the management of small populations of wild and domestic animals. In horse racing industries, they are extremely important for identifying and registering individuals and doping control to ensure fair competition. In this study, we constructed an individual identification panel for horses by using insertion and deletion (INDEL) markers. The panel included 39 INDEL markers selected from a whole-genome INDEL database. Genotyping of 89 Thoroughbreds showed polymorphisms with minor allele frequencies (MAFs) of 0.180-0.489 in all markers. The total probability of exclusion for paternity testing, power of discrimination, and probability of identity were 0.9994271269, >0.9999999999, and 0.9999999987, respectively. The panel was applied to 13 trios (sires, dams, and foals), and no contradictions were observed in genetic inheritance among the trios. When this panel was applied to the trios (52 trios) containing false fathers, an average of 7.3 markers excluded parentage relationships. In addition, genomic DNA extracted from the urine of six horses was partially genotyped for 39 markers, and 6-28 markers were successfully genotyped. The newly constructed panel has two advantages: a low marker mutation rate compared with short tandem repeats and a genotyping procedure that is as simple as short tandem repeat typing compared with single nucleotide variant typing. This panel can be applied for individual identification, paternity determination, and urine-sample identification in Thoroughbred horses.
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Affiliation(s)
- Teruaki Tozaki
- Genetic Analysis Department, Laboratory of
Racing Chemistry, Tochigi 320-0851, Japan
| | - Aoi Ohnuma
- Genetic Analysis Department, Laboratory of
Racing Chemistry, Tochigi 320-0851, Japan
| | - Mio Kikuchi
- Genetic Analysis Department, Laboratory of
Racing Chemistry, Tochigi 320-0851, Japan
| | - Taichiro Ishige
- Genetic Analysis Department, Laboratory of
Racing Chemistry, Tochigi 320-0851, Japan
| | - Hironaga Kakoi
- Genetic Analysis Department, Laboratory of
Racing Chemistry, Tochigi 320-0851, Japan
| | - Kei-ichi Hirota
- Genetic Analysis Department, Laboratory of
Racing Chemistry, Tochigi 320-0851, Japan
| | - Shun-ichi Nagata
- Genetic Analysis Department, Laboratory of
Racing Chemistry, Tochigi 320-0851, Japan
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22
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Triant DA, Walsh AT, Hartley GA, Petry B, Stegemiller MR, Nelson BM, McKendrick MM, Fuller EP, Cockett NE, Koltes JE, McKay SD, Green JA, Murdoch BM, Hagen DE, Elsik CG. AgAnimalGenomes: browsers for viewing and manually annotating farm animal genomes. Mamm Genome 2023; 34:418-436. [PMID: 37460664 PMCID: PMC10382368 DOI: 10.1007/s00335-023-10008-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023]
Abstract
Current genome sequencing technologies have made it possible to generate highly contiguous genome assemblies for non-model animal species. Despite advances in genome assembly methods, there is still room for improvement in the delineation of specific gene features in the genomes. Here we present genome visualization and annotation tools to support seven livestock species (bovine, chicken, goat, horse, pig, sheep, and water buffalo), available in a new resource called AgAnimalGenomes. In addition to supporting the manual refinement of gene models, these browsers provide visualization tracks for hundreds of RNAseq experiments, as well as data generated by the Functional Annotation of Animal Genomes (FAANG) Consortium. For species with predicted gene sets from both Ensembl and RefSeq, the browsers provide special tracks showing the thousands of protein-coding genes that disagree across the two gene sources, serving as a valuable resource to alert researchers to gene model issues that may affect data interpretation. We describe the data and search methods available in the new genome browsers and how to use the provided tools to edit and create new gene models.
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Affiliation(s)
- Deborah A Triant
- Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Amy T Walsh
- Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Gabrielle A Hartley
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, 06269, USA
| | - Bruna Petry
- Department of Animal Science, Iowa State University, Ames, IA, 50011, USA
| | - Morgan R Stegemiller
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, 83844, USA
| | - Benjamin M Nelson
- Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Makenna M McKendrick
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK, 74078, USA
| | - Emily P Fuller
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, 06269, USA
| | - Noelle E Cockett
- Department of Animal, Dairy, and Veterinary Sciences, Utah State University, Logan, UT, 84322, USA
| | - James E Koltes
- Department of Animal Science, Iowa State University, Ames, IA, 50011, USA
| | - Stephanie D McKay
- Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, 05405, USA
| | - Jonathan A Green
- Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA
| | - Brenda M Murdoch
- Department of Animal, Veterinary and Food Sciences, University of Idaho, Moscow, ID, 83844, USA
| | - Darren E Hagen
- Department of Animal and Food Sciences, Oklahoma State University, Stillwater, OK, 74078, USA
| | - Christine G Elsik
- Division of Animal Sciences, University of Missouri, Columbia, MO, 65211, USA.
- Division of Plant Science & Technology, University of Missouri, Columbia, MO, 65211, USA.
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO, 65211, USA.
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23
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Ciosek J, Kimes A, Vinardell T, Miller DC, Antczak DF, Brooks S. Juvenile idiopathic epilepsy in Arabian horses is not a single-gene disorder. J Hered 2023; 114:488-491. [PMID: 37145017 DOI: 10.1093/jhered/esad029] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 05/04/2023] [Indexed: 05/06/2023] Open
Abstract
Valued for their temperament, beauty, athletic ability, and exhibition in the show ring, Arabian horses are an important component of the horse industry. Juvenile idiopathic epilepsy (JIE), a seizure disorder, is most often reported in Arabian foals from birth to 6 months of age. Affected foals exhibit tonic-clonic seizures lasting as long as 5 min and risking secondary complications like temporary blindness and disorientation. Some foals outgrow this condition, while others die or suffer lifelong complications if not treated. Previous work suggested a strong genetic component to JIE and proposed JIE to be a single-gene trait. In this work, we conducted a genome wide association study (GWAS) in 60 cases of JIE and 120 genetically matched controls, identifying loci suggesting JIE is not caused by a single locus. Coat color (chestnut, gray) phenotypes were used as positive control traits to assess the efficacy of GWAS in this population. Future work will attempt to future define candidate regions and explore a polygenic mode of inheritance.
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Affiliation(s)
- Julia Ciosek
- Department of Animal Sciences, University of Florida, Gainesville, FL, USA
| | - Abigail Kimes
- Department of Animal Sciences, University of Florida, Gainesville, FL, USA
| | - Tatiana Vinardell
- Equine Veterinary Medical Center, Hamad Bin Khalifa University, Doha, Qatar
| | - Donald C Miller
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Douglas F Antczak
- Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Samantha Brooks
- Department of Animal Sciences, University of Florida, Gainesville, FL, USA
- UF Genetics Institute, University of Florida, Gainesville, FL, USA
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24
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Todd ET, Fromentier A, Sutcliffe R, Running Horse Collin Y, Perdereau A, Aury JM, Èche C, Bouchez O, Donnadieu C, Wincker P, Kalbfleisch T, Petersen JL, Orlando L. Imputed genomes of historical horses provide insights into modern breeding. iScience 2023; 26:107104. [PMID: 37416458 PMCID: PMC10319840 DOI: 10.1016/j.isci.2023.107104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 04/25/2023] [Accepted: 06/08/2023] [Indexed: 07/08/2023] Open
Abstract
Historical genomes can provide important insights into recent genomic changes in horses, especially the development of modern breeds. In this study, we characterized 8.7 million genomic variants from a panel of 430 horses from 73 breeds, including newly sequenced genomes from 20 Clydesdales and 10 Shire horses. We used this modern genomic variation to impute the genomes of four historically important horses, consisting of publicly available genomes from 2 Przewalski's horses, 1 Thoroughbred, and a newly sequenced Clydesdale. Using these historical genomes, we identified modern horses with higher genetic similarity to those in the past and unveiled increased inbreeding in recent times. We genotyped variants associated with appearance and behavior to uncover previously unknown characteristics of these important historical horses. Overall, we provide insights into the history of Thoroughbred and Clydesdale breeds and highlight genomic changes in the endangered Przewalski's horse following a century of captive breeding.
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Affiliation(s)
- Evelyn T. Todd
- Centre d’Anthropobiologie et de Génomique de Toulouse (CAGT), CNRS UMR 5288, Université Paul Sabatier, 37 Allées Jules Guesde, Bâtiment A, 31000 Toulouse, France
| | - Aurore Fromentier
- Centre d’Anthropobiologie et de Génomique de Toulouse (CAGT), CNRS UMR 5288, Université Paul Sabatier, 37 Allées Jules Guesde, Bâtiment A, 31000 Toulouse, France
| | - Richard Sutcliffe
- Glasgow Museums Resource Centre, 200 Woodhead Road, Nitshill, G53 7NN Glasgow, UK
| | - Yvette Running Horse Collin
- Centre d’Anthropobiologie et de Génomique de Toulouse (CAGT), CNRS UMR 5288, Université Paul Sabatier, 37 Allées Jules Guesde, Bâtiment A, 31000 Toulouse, France
| | - Aude Perdereau
- Genoscope, Institut de biologie François Jacob, CEA, Université d’Evry, Université Paris-Saclay, 91042 Evry, France
| | - Jean-Marc Aury
- Genoscope, Institut de biologie François Jacob, CEA, Université d’Evry, Université Paris-Saclay, 91042 Evry, France
| | - Camille Èche
- GeT-PlaGe - Génome et Transcriptome - Plateforme Génomique, GET - Plateforme Génome & Transcriptome, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, 31326 Castanet-Tolosan Cedex, France
| | - Olivier Bouchez
- GeT-PlaGe - Génome et Transcriptome - Plateforme Génomique, GET - Plateforme Génome & Transcriptome, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, 31326 Castanet-Tolosan Cedex, France
| | - Cécile Donnadieu
- GeT-PlaGe - Génome et Transcriptome - Plateforme Génomique, GET - Plateforme Génome & Transcriptome, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, 31326 Castanet-Tolosan Cedex, France
| | - Patrick Wincker
- Genoscope, Institut de biologie François Jacob, CEA, Université d’Evry, Université Paris-Saclay, 91042 Evry, France
| | - Ted Kalbfleisch
- MH Gluck Equine Research Center, University of Kentucky, Lexington, KY 40546-0091, USA
| | - Jessica L. Petersen
- Department of Animal Science, University of Nebraska-Lincoln, 3940 Fair St, Lincoln, NE 68583-0908, USA
| | - Ludovic Orlando
- Centre d’Anthropobiologie et de Génomique de Toulouse (CAGT), CNRS UMR 5288, Université Paul Sabatier, 37 Allées Jules Guesde, Bâtiment A, 31000 Toulouse, France
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25
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Mousavi SF, Razmkabir M, Rostamzadeh J, Seyedabadi HR, Naboulsi R, Petersen JL, Lindgren G. Genetic diversity and signatures of selection in four indigenous horse breeds of Iran. Heredity (Edinb) 2023:10.1038/s41437-023-00624-7. [PMID: 37308718 PMCID: PMC10382556 DOI: 10.1038/s41437-023-00624-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 05/03/2023] [Accepted: 05/03/2023] [Indexed: 06/14/2023] Open
Abstract
Indigenous Iranian horse breeds were evolutionarily affected by natural and artificial selection in distinct phylogeographic clades, which shaped their genomes in several unique ways. The aims of this study were to evaluate the genetic diversity and genomewide selection signatures in four indigenous Iranian horse breeds. We evaluated 169 horses from Caspian (n = 21), Turkmen (n = 29), Kurdish (n = 67), and Persian Arabian (n = 52) populations, using genomewide genotyping data. The contemporary effective population sizes were 59, 98, 102, and 113 for Turkmen, Caspian, Persian Arabian, and Kurdish breeds, respectively. By analysis of the population genetic structure, we classified the north breeds (Caspian and Turkmen) and west/southwest breeds (Persian Arabian and Kurdish) into two phylogeographic clades reflecting their geographic origin. Using the de-correlated composite of multiple selection signal statistics based on pairwise comparisons, we detected a different number of significant SNPs under putative selection from 13 to 28 for the six pairwise comparisons (FDR < 0.05). The identified SNPs under putative selection coincided with genes previously associated with known QTLs for morphological, adaptation, and fitness traits. Our results showed HMGA2 and LLPH as strong candidate genes for height variation between Caspian horses with a small size and the other studied breeds with a medium size. Using the results of studies on human height retrieved from the GWAS catalog, we suggested 38 new putative candidate genes under selection. These results provide a genomewide map of selection signatures in the studied breeds, which represent valuable information for formulating genetic conservation and improved breeding strategies for the breeds.
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Affiliation(s)
- Seyedeh Fatemeh Mousavi
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Mohammad Razmkabir
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran.
| | - Jalal Rostamzadeh
- Department of Animal Science, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran.
| | - Hamid-Reza Seyedabadi
- Animal Science Research Institute of Iran, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran
| | - Rakan Naboulsi
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
- Childhood Cancer Research Unit, Department of Women's and Children's Health, Karolinska Institute, Tomtebodavägen 18A, 17177, Stockholm, Sweden
| | | | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.
- Center for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, 3001, Leuven, Belgium.
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26
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Batcher K, Varney S, Raudsepp T, Jevit M, Dickinson P, Jagannathan V, Leeb T, Bannasch D. Ancient segmentally duplicated LCORL retrocopies in equids. PLoS One 2023; 18:e0286861. [PMID: 37289743 PMCID: PMC10249811 DOI: 10.1371/journal.pone.0286861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 05/25/2023] [Indexed: 06/10/2023] Open
Abstract
LINE-1 is an active transposable element encoding proteins capable of inserting host gene retrocopies, resulting in retro-copy number variants (retroCNVs) between individuals. Here, we performed retroCNV discovery using 86 equids and identified 437 retrocopy insertions. Only 5 retroCNVs were shared between horses and other equids, indicating that the majority of retroCNVs inserted after the species diverged. A large number (17-35 copies) of segmentally duplicated Ligand Dependent Nuclear Receptor Corepressor Like (LCORL) retrocopies were present in all equids but absent from other extant perissodactyls. The majority of LCORL transcripts in horses and donkeys originate from the retrocopies. The initial LCORL retrotransposition occurred 18 million years ago (17-19 95% CI), which is coincident with the increase in body size, reduction in digit number, and changes in dentition that characterized equid evolution. Evolutionary conservation of the LCORL retrocopy segmental amplification in the Equidae family, high expression levels and the ancient timeline for LCORL retrotransposition support a functional role for this structural variant.
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Affiliation(s)
- Kevin Batcher
- Department of Population Health and Reproduction, University of California Davis, Davis, CA, United States of America
| | - Scarlett Varney
- Department of Population Health and Reproduction, University of California Davis, Davis, CA, United States of America
| | - Terje Raudsepp
- Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, United States of America
| | - Matthew Jevit
- Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, United States of America
| | - Peter Dickinson
- Department of Surgical and Radiological Sciences, University of California Davis, Davis, CA, United States of America
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, Switzerland
| | - Danika Bannasch
- Department of Population Health and Reproduction, University of California Davis, Davis, CA, United States of America
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27
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Gmel AI, Brem G, Neuditschko M. New genomic insights into the conformation of Lipizzan horses. Sci Rep 2023; 13:8990. [PMID: 37268682 DOI: 10.1038/s41598-023-36272-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/31/2023] [Indexed: 06/04/2023] Open
Abstract
Conformation traits are important selection criteria in equine breeding, as they describe the exterior aspects of the horse (height, joint angles, shape). However, the genetic architecture of conformation is not well understood, as data of these traits mainly consist of subjective evaluation scores. Here, we performed genome-wide association studies on two-dimensional shape data of Lipizzan horses. Based on this data, we identified significant quantitative trait loci (QTL) associated with cresty neck on equine chromosome (ECA)16 within the MAGI1 gene, and with type, hereby differentiating heavy from light horses on ECA5 within the POU2F1 gene. Both genes were previously described to affect growth, muscling and fatty deposits in sheep, cattle and pigs. Furthermore, we pin-pointed another suggestive QTL on ECA21, near the PTGER4 gene, associated with human ankylosing spondylitis, for shape differences in the back and pelvis (roach back vs sway back). Further differences in the shape of the back and abdomen were suggestively associated with the RYR1 gene, involved in core muscle weakness in humans. Therefore, we demonstrated that horse shape space data enhance the genomic investigations of horse conformation.
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Affiliation(s)
- A I Gmel
- Equine Department, Vetsuisse Faculty, University of Zurich, Winterthurerstrasse 260, 8057, Zurich, Switzerland
- Animal GenoPhenomics, Agroscope, Rte de La Tioleyre 4, 1725, Posieux, Switzerland
| | - G Brem
- Institute of Animal Breeding and Genetics, Veterinary University Vienna, Veterinärplatz 1, 1220, Vienna, Austria
| | - M Neuditschko
- Animal GenoPhenomics, Agroscope, Rte de La Tioleyre 4, 1725, Posieux, Switzerland.
- Institute of Animal Breeding and Genetics, Veterinary University Vienna, Veterinärplatz 1, 1220, Vienna, Austria.
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28
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Chen C, Zhu B, Tang X, Chen B, Liu M, Gao N, Li S, Gu J. Genome-Wide Assessment of Runs of Homozygosity by Whole-Genome Sequencing in Diverse Horse Breeds Worldwide. Genes (Basel) 2023; 14:1211. [PMID: 37372391 DOI: 10.3390/genes14061211] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/29/2023] [Accepted: 05/30/2023] [Indexed: 06/29/2023] Open
Abstract
In the genomes of diploid organisms, runs of homozygosity (ROH), consecutive segments of homozygosity, are extended. ROH can be applied to evaluate the inbreeding situation of individuals without pedigree data and to detect selective signatures via ROH islands. We sequenced and analyzed data derived from the whole-genome sequencing of 97 horses, investigated the distribution of genome-wide ROH patterns, and calculated ROH-based inbreeding coefficients for 16 representative horse varieties from around the world. Our findings indicated that both ancient and recent inbreeding occurrences had varying degrees of impact on various horse breeds. However, recent inbreeding events were uncommon, particularly among indigenous horse breeds. Consequently, the ROH-based genomic inbreeding coefficient could aid in monitoring the level of inbreeding. Using the Thoroughbred population as a case study, we discovered 24 ROH islands containing 72 candidate genes associated with artificial selection traits. We found that the candidate genes in Thoroughbreds were involved in neurotransmission (CHRNA6, PRKN, and GRM1), muscle development (ADAMTS15 and QKI), positive regulation of heart rate and heart contraction (HEY2 and TRDN), regulation of insulin secretion (CACNA1S, KCNMB2, and KCNMB3), and spermatogenesis (JAM3, PACRG, and SPATA6L). Our findings provide insight into horse breed characteristics and future breeding strategies.
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Affiliation(s)
- Chujie Chen
- Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Bo Zhu
- Novogene Bioinformatics Institute, Beijing 100015, China
| | - Xiangwei Tang
- Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Bin Chen
- Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Mei Liu
- Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Ning Gao
- Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
| | - Sheng Li
- Maxun Biotechnology Institute, Changsha 410024, China
| | - Jingjing Gu
- Hunan Provincial Key Laboratory for Genetic Improvement of Domestic Animal, College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China
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29
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McFadden A, Martin K, Foster G, Vierra M, Lundquist EW, Everts RE, Martin E, Volz E, McLoone K, Brooks SA, Lafayette C. 5'UTR Variant in KIT Associated with White Spotting in Horses. J Equine Vet Sci 2023:104563. [PMID: 37182614 DOI: 10.1016/j.jevs.2023.104563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/10/2023] [Accepted: 05/10/2023] [Indexed: 05/16/2023]
Abstract
Mutations in KIT, a gene that influences melanoblast migration and pigmentation, often result in mammalian white spotting. As of February 2023, over 30 KIT variants associated with white spotting were documented in Equus caballus (horse). Here we report an association of increased white spotting on the skin and coat with a variant in the 5'UTR of KIT (rs1149701677: g.79,618,649A>C). Horses possessing at least one alternate allele demonstrate phenotypic characteristics similar to other KIT mutations: clear borders around unpigmented regions on the body, face, and limbs. Using a quantitative measure of depigmentation, we observed an average white score of 10.70 among individuals with rs1149701677, while the average score of the control, homozygous reference sample was 2.23 (p=1.892e-11, n=109, t-test). The rs1149701677 site has a cross-species conservation score of 3.4, one of the highest scores across the KIT 5'UTR, implying regulatory importance for this site. Ensembl also predicted a "moderately impactful" functional effect for the rs1149701677 variant. We propose that this single nucleotide variant likely alters the regulation of KIT, which in turn may disrupt melanoblast migration causing an increase in white spotting on the coat. Alternatively, the rs1149701677 variant may be in linkage with another nearby variant with an as-yet-undiscovered functional impact. We propose to term this new allele "Holiday White" or W35 based on conventional nomenclature.
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Affiliation(s)
| | | | | | | | | | | | | | - Erin Volz
- Etalon Inc, Menlo Park, CA 94025, USA
| | | | - Samantha A Brooks
- Department of Animal Sciences, UF Genetics Institute University of Florida, Gainesville, FL 32611-0910, USA
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Holtby AR, Hall TJ, McGivney BA, Han H, Murphy KJ, MacHugh DE, Katz LM, Hill EW. Integrative genomics analysis highlights functionally relevant genes for equine behaviour. Anim Genet 2023. [DOI: 10.1111/age.13320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/10/2023] [Accepted: 03/12/2023] [Indexed: 03/29/2023]
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Short Insertion and Deletion Discoveries via Whole-Genome Sequencing of 101 Thoroughbred Racehorses. Genes (Basel) 2023; 14:genes14030638. [PMID: 36980910 PMCID: PMC10048024 DOI: 10.3390/genes14030638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 02/28/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
Thoroughbreds are some of the most famous racehorses worldwide and are currently animals of high economic value. To understand genomic variability in Thoroughbreds, we identified genome-wide insertions and deletions (INDELs) and obtained their allele frequencies in this study. INDELs were obtained from whole-genome sequencing data of 101 Thoroughbred racehorses by mapping sequence reads to the horse reference genome. By integrating individual data, 1,453,349 and 113,047 INDELs were identified in the autosomal (1–31) and X chromosomes, respectively, while 18 INDELs were identified on the mitochondrial genome, totaling 1,566,414 INDELs. Of those, 779,457 loci (49.8%) were novel INDELs, while 786,957 loci (50.2%) were already registered in Ensembl. The sizes of diallelic INDELs ranged from −286 to +476, and the majority, 717,736 (52.14%) and 220,672 (16.03%), were 1-bp and 2-bp variants, respectively. Numerous INDELs were found to have lower frequencies of alternative (Alt) alleles. Many rare variants with low Alt allele frequencies (<0.5%) were also detected. In addition, 5955 loci were genotyped as having a minor allele frequency of 0.5 and being heterogeneous genotypes in all the horses. While short-read sequencing and its mapping to reference genome is a simple way of detecting variants, fake variants may be detected. Therefore, our data help to identify true variants in Thoroughbred horses. The INDEL database we constructed will provide useful information for genetic studies and industrial applications in Thoroughbred horses, including a gene-editing test for gene-doping control and a parentage test using INDELs for horse registration and identification.
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Woodward E, Schlingmann K, Tobias J, Turner R. Characterisation of the testicular transcriptome in stallions with age-related testicular degeneration. Equine Vet J 2023; 55:239-252. [PMID: 35569039 DOI: 10.1111/evj.13588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 04/20/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Age-related testicular degeneration can be defined as the progressive deterioration of the testis that typically occurs in middle-aged or older males and that leads to diminished testicular function and subfertility. In the equine breeding industry, genetically valuable males maintain their value as breeding animals well into old age. Because testicular degeneration is common in middle-aged and older stallions, the disease often has a significant negative impact on a stallion's breeding career and leads to economic losses in the horse breeding industry. OBJECTIVE Because testicular degeneration is a tissue autologous disease in the horse, the objective of this study was to use whole-transcriptome sequencing to compare the testicular transcriptomes of normal, fertile stallions to those of stallions affected by age-related testicular degeneration in order to better understand the pathophysiology of the disease. STUDY DESIGN Cross sectional. METHODS Testicular tissue samples from clinical castrations or euthanasia were collected from normal healthy (n = 3) or older subfertile (n = 4) stallions. Samples were processed and sequenced on an Illumina HiSeq™ 2000 Sequencing System. Bioinformatic analysis of the data was performed in R/RStudio, and the transcriptomes were compared between the two groups. Genes were considered to be differentially expressed between healthy and diseased tissue if they demonstrated at least a ±1.5× fold change difference and had a false discovery rate-adjusted P value <0.05. Gene ontology analysis was performed using Ingenuity® IPA. RESULTS Analyses of differential expression of individual genes, as well as computer-based gene ontology analysis, identified upregulation of cytokine-mediated inflammatory pathways in testes from stallions affected with testicular degeneration. This upregulation of inflammation was associated with upregulation of cell survival pathways, inhibition of apoptotic pathways and increases in collagen formation. MAIN LIMITATIONS There are unavoidable confounding factors (e.g. differences in breed, management, environment, age) that could create non disease-related genetic variation between our normal and affected samples. In addition, there are practical limitations to applying computer-based gene ontology analysis to equine samples. Gene ontology software relies on published information (mostly non-equine), and some biological processes (e.g. apoptosis and inflammation) are more commonly studied than others and so are over-represented in the literature and therefore more likely to be identified by computer algorithms. Caution should be taken when interpreting the data, as alterations in gene expression can be the cause of disease processes or can be the result of disease processes. CONCLUSIONS These results suggest that chronic, low-grade inflammation may be involved in the pathophysiology of age-related testicular degeneration in stallions.
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Affiliation(s)
- Elizabeth Woodward
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Karen Schlingmann
- Department of Clinical Studies, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, Pennsylvania, USA
| | - John Tobias
- Penn Genome Analysis Core, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Regina Turner
- Department of Clinical Studies, New Bolton Center, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, Pennsylvania, USA
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Peng S, Dahlgren AR, Donnelly CG, Hales EN, Petersen JL, Bellone RR, Kalbfleisch T, Finno CJ. Functional annotation of the animal genomes: An integrated annotation resource for the horse. PLoS Genet 2023; 19:e1010468. [PMID: 36862752 PMCID: PMC10013926 DOI: 10.1371/journal.pgen.1010468] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 03/14/2023] [Accepted: 01/28/2023] [Indexed: 03/03/2023] Open
Abstract
The genomic sequence of the horse has been available since 2009, providing critical resources for discovering important genomic variants regarding both animal health and population structures. However, to fully understand the functional implications of these variants, detailed annotation of the horse genome is required. Due to the limited availability of functional data for the equine genome, as well as the technical limitations of short-read RNA-seq, existing annotation of the equine genome contains limited information about important aspects of gene regulation, such as alternate isoforms and regulatory elements, which are either not transcribed or transcribed at a very low level. To solve above problems, the Functional Annotation of the Animal Genomes (FAANG) project proposed a systemic approach to tissue collection, phenotyping, and data generation, adopting the blueprint laid out by the Encyclopedia of DNA Elements (ENCODE) project. Here we detail the first comprehensive overview of gene expression and regulation in the horse, presenting 39,625 novel transcripts, 84,613 candidate cis-regulatory elements (CRE) and their target genes, 332,115 open chromatin regions genome wide across a diverse set of tissues. We showed substantial concordance between chromatin accessibility, chromatin states in different genic features and gene expression. This comprehensive and expanded set of genomics resources will provide the equine research community ample opportunities for studies of complex traits in the horse.
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Affiliation(s)
- Sichong Peng
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America
| | - Anna R. Dahlgren
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America
| | - Callum G. Donnelly
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America
| | - Erin N. Hales
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America
| | - Jessica L. Petersen
- Department of Animal Science, University of Nebraska—Lincoln, Lincoln, Nebraska, United States of America
| | - Rebecca R. Bellone
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America
- Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America
| | - Ted Kalbfleisch
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, United States of America
| | - Carrie J. Finno
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America
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Identification of Personality-Related Candidate Genes in Thoroughbred Racehorses Using a Bioinformatics-Based Approach Involving Functionally Annotated Human Genes. Animals (Basel) 2023; 13:ani13040769. [PMID: 36830556 PMCID: PMC9951868 DOI: 10.3390/ani13040769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 02/07/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Considering the personality traits of racehorses (e.g., flightiness, anxiety, and affability) is considered essential to improve training efficiency and decrease accident frequency, especially when retraining for a second career that may involve contact with inexperienced personnel after retiring from racing. Studies on human personality-related genes are frequently conducted; however, such studies are rare in horses because a consistent methodology for personality evaluation is lacking. Using the recently published whole genome variant database of 101 Thoroughbred horses, we compared horse genes orthologous to human genes related to the Big Five personality traits, and identified 18 personality-related candidate genes in horses. These genes include 55 variants that involve non-synonymous substitutions that highly impact the encoded protein. Moreover, we evaluated the allele frequencies and functional impact on the proteins in terms of the difference in molecular weights and hydrophobicity levels between reference and altered amino acids. We identified 15 newly discovered genes that may affect equine personality, but their associations with personality are still unclear. Although more studies are required to compare genetic and behavioral information to validate this approach, it may be useful under limited conditions for personality evaluation.
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35
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DNA methylation-based profiling of horse archaeological remains for age-at-death and castration. iScience 2023; 26:106144. [PMID: 36843848 PMCID: PMC9950528 DOI: 10.1016/j.isci.2023.106144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/02/2023] [Accepted: 02/01/2023] [Indexed: 02/07/2023] Open
Abstract
Age profiling of archaeological bone assemblages can inform on past animal management practices, but is limited by the fragmentary nature of the fossil record and the lack of universal skeletal markers for age. DNA methylation clocks offer new, albeit challenging, alternatives for estimating the age-at-death of ancient individuals. Here, we take advantage of the availability of a DNA methylation clock based on 31,836 CpG sites and dental age markers in horses to assess age predictions in 84 ancient remains. We evaluate our approach using whole-genome sequencing data and develop a capture assay providing reliable estimates for only a fraction of the cost. We also leverage DNA methylation patterns to assess castration practice in the past. Our work opens for a deeper characterization of past husbandry and ritual practices and holds the potential to reveal age mortality profiles in ancient societies, once extended to human remains.
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Naboulsi R, Cieślak J, Headon D, Jouni A, Negro JJ, Andersson G, Lindgren G. The Enrichment of Specific Hair Follicle-Associated Cell Populations in Plucked Hairs Offers an Opportunity to Study Gene Expression Underlying Hair Traits. Int J Mol Sci 2022; 24:ijms24010561. [PMID: 36614000 PMCID: PMC9820680 DOI: 10.3390/ijms24010561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 12/31/2022] Open
Abstract
Gene expression differences can assist in characterizing important underlying genetic mechanisms between different phenotypic traits. However, when population-dense tissues are studied, the signals from scarce populations are diluted. Therefore, appropriately choosing a sample collection method that enriches a particular type of effector cells might yield more specific results. To address this issue, we performed a polyA-selected RNA-seq experiment of domestic horse (Equus ferus caballus) plucked-hair samples and skin biopsies. Then, we layered the horse gene abundance results against cell type-specific marker genes generated from a scRNA-seq supported with spatial mapping of laboratory mouse (Mus musculus) skin to identify the captured populations. The hair-plucking and skin-biopsy sample-collection methods yielded comparable quality and quantity of RNA-seq results. Keratin-related genes, such as KRT84 and KRT75, were among the genes that showed higher abundance in plucked hairs, while genes involved in cellular processes and enzymatic activities, such as MGST1, had higher abundance in skin biopsies. We found an enrichment of hair-follicle keratinocytes in plucked hairs, but detected an enrichment of other populations, including epidermis keratinocytes, in skin biopsies. In mammalian models, biopsies are often the method of choice for a plethora of gene expression studies and to our knowledge, this is a novel study that compares the cell-type enrichment between the non-invasive hair-plucking and the invasive skin-biopsy sample-collection methods. Here, we show that the non-invasive and ethically uncontroversial plucked-hair method is recommended depending on the research question. In conclusion, our study will allow downstream -omics approaches to better understand integumentary conditions in both health and disease in horses as well as other mammals.
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Affiliation(s)
- Rakan Naboulsi
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden
- Correspondence:
| | - Jakub Cieślak
- Department of Genetics and Animal Breeding, Poznan University of Life Sciences, 60-637 Poznań, Poland
| | - Denis Headon
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh EH25 9RG, UK
| | - Ahmad Jouni
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden
| | - Juan J. Negro
- Department of Evolutionary Ecology, Doñana Biological Station, CSIC, 41092 Seville, Spain
| | - Göran Andersson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden
| | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden
- Center for Animal Breeding and Genetics, Department of Biosystems, KU Leuven, 3001 Leuven, Belgium
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Identification of Copy Number Variations in Four Horse Breed Populations in South Korea. Animals (Basel) 2022; 12:ani12243501. [PMID: 36552421 PMCID: PMC9774267 DOI: 10.3390/ani12243501] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/21/2022] [Accepted: 12/08/2022] [Indexed: 12/14/2022] Open
Abstract
In this study, genome-wide CNVs were identified using a total of 469 horses from four horse populations (Jeju horses, Thoroughbreds, Jeju riding horses, and Hanla horses). We detected a total of 843 CNVRs throughout all autosomes: 281, 30, 301, and 310 CNVRs for Jeju horses, Thoroughbreds, Jeju riding horses, and Hanla horses, respectively. Of the total CNVRs, copy number losses were found to be the most abundant (48.99%), while gains and mixed CNVRs accounted for 41.04% and 9.96% of the total CNVRs, respectively. The length of the CNVRs ranged from 0.39 kb to 2.8 Mb, while approximately 7.2% of the reference horse genome assembly was covered by the total CNVRs. By comparing the CNVRs among the populations, we found a significant portion of the CNVRs (30.13%) overlapped; the highest number of shared CNVRs was between Hanla horses and Jeju riding horses. When compared with the horse CNVRs of previous studies, 26.8% of CNVRs were found to be uniquely detected in this study. The CNVRs were not randomly distributed throughout the genome; in particular, the Equus caballus autosome (ECA) 7 comprised the largest proportion of its genome (16.3%), while ECA 24 comprised the smallest (0.7%). Furthermore, functional analysis was applied to CNVRs that overlapped with genes (genic-CNVRs); these overlapping areas may be potentially associated with the olfactory pathway and nervous system. A racing performance QTL was detected in a CNVR of Thoroughbreds, Jeju riding horses, and Hanla horses, and the CNVR value was mixed for three breeds.
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Myćka G, Musiał AD, Stefaniuk-Szmukier M, Długosz B, Piórkowska K, Bieniek A, Szmatoła T, Ropka-Molik K. PLNGene Analysis in Horses: Multiway Approach for the Investigation and Validation of Molecular Variation. Folia Biol (Praha) 2022. [DOI: 10.3409/fb_70-4.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
In this study, a molecular characterisation of the PLN gene with whole genome sequencing (WGS) and complete transcriptome sequencing data was performed on 868 horses, supported by Sanger sequencing and the PCR-RFLP method. The PLN gene encodes phospholamban – an
integral membrane protein – and while phosphorylated inhibits the SR Ca2+-ATPase (SERCA) transport of Ca2+ into reticulum in the cardiac and skeletal muscles. According to the current knowledge, we hypothesised that the presence of Single Nucleotide Polymorphisms
(SNPs) in the PLN gene sequence may be related to an individual's lifestyle and would remain under selection pressure. The obtained results indicated the occurrence of 14 polymorphisms of which 7 were upstream, and 7 downstream PLN gene variants according to the EquCan3.0 reference.
The mRNA sequencing confirmed the presence of 3' and 5' UTR regions belonging to the PLN transcript that was in accordance with EquCab2.0, and was missed in the current version. The comparison of two reference genomes and the validation of the NGS data allowed for the 3'UTR variant
(rs1146603334) to be detected, showing differences in the genotype and allele distributions across five horse breeds. A similar genotype frequency in warmblood breeds of horses (Arabians and Thoroughbreds), compared to native and heavy horses (Polish Konik, Draft and Hucul horses), indicated
that this locus was under selection pressure.
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Affiliation(s)
- Grzegorz Myćka
- Laboratory of Genomics, Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
| | - Adrianna D. Musiał
- Laboratory of Genomics, Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
| | - Monika Stefaniuk-Szmukier
- Laboratory of Genomics, Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
| | - Bogusława Długosz
- Department of Animal Reproduction, Anatomy and Genomics, University of Agriculture in Kraków, Mickiewicza 24/28, 30-059 Kraków, Poland
| | - Katarzyna Piórkowska
- Laboratory of Genomics, Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
| | - Agnieszka Bieniek
- Laboratory of Genomics, Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
| | - Tomasz Szmatoła
- Laboratory of Genomics, Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
| | - Katarzyna Ropka-Molik
- Laboratory of Genomics, Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32-083 Balice, Poland
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Cardinali I, Giontella A, Tommasi A, Silvestrelli M, Lancioni H. Unlocking Horse Y Chromosome Diversity. Genes (Basel) 2022; 13:genes13122272. [PMID: 36553539 PMCID: PMC9777570 DOI: 10.3390/genes13122272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 11/30/2022] [Accepted: 11/30/2022] [Indexed: 12/11/2022] Open
Abstract
The present equine genetic variation mirrors the deep influence of intensive breeding programs during the last 200 years. Here, we provide a comprehensive current state of knowledge on the trends and prospects on the variation in the equine male-specific region of the Y chromosome (MSY), which was assembled for the first time in 2018. In comparison with the other 12 mammalian species, horses are now the most represented, with 56 documented MSY genes. However, in contrast to the high variability in mitochondrial DNA observed in many horse breeds from different geographic areas, modern horse populations demonstrate extremely low genetic Y-chromosome diversity. The selective pressures employed by breeders using pedigree data (which are not always error-free) as a predictive tool represent the main cause of this lack of variation in the Y-chromosome. Nevertheless, the detailed phylogenies obtained by recent fine-scaled Y-chromosomal genotyping in many horse breeds worldwide have contributed to addressing the genealogical, forensic, and population questions leading to the reappraisal of the Y-chromosome as a powerful genetic marker to avoid the loss of biodiversity as a result of selective breeding practices, and to better understand the historical development of horse breeds.
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Affiliation(s)
- Irene Cardinali
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
- Correspondence: (I.C.); (A.G.)
| | - Andrea Giontella
- Department of Veterinary Medicine, University of Perugia, 06126 Perugia, Italy
- Correspondence: (I.C.); (A.G.)
| | - Anna Tommasi
- Department of Biology and Biotechnology “L. Spallanzani”, University of Pavia, 27100 Pavia, Italy
| | | | - Hovirag Lancioni
- Department of Chemistry, Biology and Biotechnology, University of Perugia, 06123 Perugia, Italy
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Castaneda C, Radović L, Felkel S, Juras R, Davis BW, Cothran EG, Wallner B, Raudsepp T. Copy number variation of horse Y chromosome genes in normal equine populations and in horses with abnormal sex development and subfertility: relationship of copy number variations with Y haplogroups. G3 (BETHESDA, MD.) 2022; 12:jkac278. [PMID: 36227030 PMCID: PMC9713435 DOI: 10.1093/g3journal/jkac278] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 10/08/2022] [Indexed: 11/03/2023]
Abstract
Structural rearrangements like copy number variations in the male-specific Y chromosome have been associated with male fertility phenotypes in human and mouse but have been sparsely studied in other mammalian species. Here, we designed digital droplet PCR assays for 7 horse male-specific Y chromosome multicopy genes and SRY and evaluated their absolute copy numbers in 209 normal male horses of 22 breeds, 73 XY horses with disorders of sex development and/or infertility, 5 Przewalski's horses and 2 kulans. This established baseline copy number for these genes in horses. The TSPY gene showed the highest copy number and was the most copy number variable between individuals and breeds. SRY was a single-copy gene in most horses but had 2-3 copies in some indigenous breeds. Since SRY is flanked by 2 copies of RBMY, their copy number variations were interrelated and may lead to SRY-negative XY disorders of sex development. The Przewalski's horse and kulan had 1 copy of SRY and RBMY. TSPY and ETSTY2 showed significant copy number variations between cryptorchid and normal males (P < 0.05). No significant copy number variations were observed in subfertile/infertile males. Notably, copy number of TSPY and ETSTY5 differed between successive male generations and between cloned horses, indicating germline and somatic mechanisms for copy number variations. We observed no correlation between male-specific Y chromosome gene copy number variations and male-specific Y chromosome haplotypes. We conclude that the ampliconic male-specific Y chromosome reference assembly has deficiencies and further studies with an improved male-specific Y chromosome assembly are needed to determine selective constraints over horse male-specific Y chromosome gene copy number and their relation to stallion reproduction and male biology.
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Affiliation(s)
- Caitlin Castaneda
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 7784-4458, USA
| | - Lara Radović
- Department of Biomedical Sciences, Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria
- Vienna Graduate School of Population Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria
| | - Sabine Felkel
- Department of Biomedical Sciences, Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria
- Vienna Graduate School of Population Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria
- Department of Biotechnology, Institute of Computational Biology, BOKU University of Life Sciences and Natural Resources, Vienna 1190, Austria
| | - Rytis Juras
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 7784-4458, USA
| | - Brian W Davis
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 7784-4458, USA
| | - Ernest Gus Cothran
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 7784-4458, USA
| | - Barbara Wallner
- Department of Biomedical Sciences, Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna 1210, Austria
| | - Terje Raudsepp
- Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 7784-4458, USA
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Xie HB, Yan C, Adeola AC, Wang K, Huang CP, Xu MM, Qiu Q, Yin X, Fan CY, Ma YF, Yin TT, Gao Y, Deng JK, Okeyoyin AO, Oluwole OO, Omotosho O, Okoro VMO, Omitogun OG, Dawuda PM, Olaogun SC, Nneji LM, Ayoola AO, Sanke OJ, Luka PD, Okoth E, Lekolool I, Mijele D, Bishop RP, Han J, Wang W, Peng MS, Zhang YP. African Suid Genomes Provide Insights into the Local Adaptation to Diverse African Environments. Mol Biol Evol 2022; 39:6840307. [PMID: 36413509 PMCID: PMC9733430 DOI: 10.1093/molbev/msac256] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 10/21/2022] [Accepted: 11/17/2022] [Indexed: 11/23/2022] Open
Abstract
African wild suids consist of several endemic species that represent ancient members of the family Suidae and have colonized diverse habitats on the African continent. However, limited genomic resources for African wild suids hinder our understanding of their evolution and genetic diversity. In this study, we assembled high-quality genomes of a common warthog (Phacochoerus africanus), a red river hog (Potamochoerus porcus), as well as an East Asian Diannan small-ear pig (Sus scrofa). Phylogenetic analysis showed that common warthog and red river hog diverged from their common ancestor around the Miocene/Pliocene boundary, putatively predating their entry into Africa. We detected species-specific selective signals associated with sensory perception and interferon signaling pathways in common warthog and red river hog, respectively, which contributed to their local adaptation to savannah and tropical rainforest environments, respectively. The structural variation and evolving signals in genes involved in T-cell immunity, viral infection, and lymphoid development were identified in their ancestral lineage. Our results provide new insights into the evolutionary histories and divergent genetic adaptations of African suids.
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Affiliation(s)
| | | | | | | | | | - Ming-Min Xu
- 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 650201, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Qiang Qiu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi’an 710129, China
| | - Xue Yin
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Chen-Yu Fan
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China
| | - Yun-Fei 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 650201, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China
| | - Ting-Ting Yin
- 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 650201, China
| | - Yun Gao
- 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 650201, China
| | - Jia-Kun Deng
- 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 650201, China
| | - Agboola O Okeyoyin
- National Park Service Headquarter, Federal Capital Territory, Abuja 900108, Nigeria
| | - Olufunke O Oluwole
- Institute of Agricultural Research and Training, Obafemi Awolowo University, Ibadan, Nigeria
| | - Oladipo Omotosho
- Department of Veterinary Medicine, University of Ibadan, Ibadan 200005, Nigeria
| | - Victor M O Okoro
- Department of Animal Science and Technology, School of Agriculture and Agricultural Technology, Federal University of Technology, Owerri 460114, Nigeria
| | - Ofelia G Omitogun
- Department of Animal Sciences, Obafemi Awolowo University, Ile-Ife 220282, Nigeria
| | - Philip M Dawuda
- Department of Veterinary Surgery and Theriogenology, College of Veterinary Medicine, University of Agriculture Makurdi, Makurdi 970001, Nigeria
| | - Sunday C Olaogun
- Department of Veterinary Medicine, University of Ibadan, Ibadan 200005, Nigeria
| | - Lotanna M Nneji
- 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 650201, China,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming 650204, China
| | - Adeola O Ayoola
- 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 650201, China,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Kunming 650204, China
| | - Oscar J Sanke
- Taraba State Ministry of Agriculture and Natural Resources, Jalingo 660213, Nigeria
| | - Pam D Luka
- National Veterinary Research Institute, Vom 930103, Nigeria
| | - Edward Okoth
- International Livestock Research Institute (ILRI), Nairobi 00100, Kenya
| | | | | | - Richard P Bishop
- International Livestock Research Institute (ILRI), Nairobi 00100, Kenya
| | | | - Wen Wang
- Corresponding authors: E-mails: ; ; ;
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The Innovative Informatics Approaches of High-Throughput Technologies in Livestock: Spearheading the Sustainability and Resiliency of Agrigenomics Research. LIFE (BASEL, SWITZERLAND) 2022; 12:life12111893. [PMID: 36431028 PMCID: PMC9695872 DOI: 10.3390/life12111893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 11/09/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022]
Abstract
For more than a decade, next-generation sequencing (NGS) has been emerging as the mainstay of agrigenomics research. High-throughput technologies have made it feasible to facilitate research at the scale and cost required for using this data in livestock research. Scale frameworks of sequencing for agricultural and livestock improvement, management, and conservation are partly attributable to innovative informatics methodologies and advancements in sequencing practices. Genome-wide sequence-based investigations are often conducted worldwide, and several databases have been created to discover the connections between worldwide scientific accomplishments. Such studies are beginning to provide revolutionary insights into a new era of genomic prediction and selection capabilities of various domesticated livestock species. In this concise review, we provide selected examples of the current state of sequencing methods, many of which are already being used in animal genomic studies, and summarize the state of the positive attributes of genome-based research for cattle (Bos taurus), sheep (Ovis aries), pigs (Sus scrofa domesticus), horses (Equus caballus), chickens (Gallus gallus domesticus), and ducks (Anas platyrhyncos). This review also emphasizes the advantageous features of sequencing technologies in monitoring and detecting infectious zoonotic diseases. In the coming years, the continued advancement of sequencing technologies in livestock agrigenomics will significantly influence the sustained momentum toward regulatory approaches that encourage innovation to ensure continued access to a safe, abundant, and affordable food supplies for future generations.
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43
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Martin FJ, Amode MR, Aneja A, Austine-Orimoloye O, Azov A, Barnes I, Becker A, Bennett R, Berry A, Bhai J, Bhurji S, Bignell A, Boddu S, Branco Lins PR, Brooks L, Ramaraju SB, Charkhchi M, Cockburn A, Da Rin Fiorretto L, Davidson C, Dodiya K, Donaldson S, El Houdaigui B, El Naboulsi T, Fatima R, Giron CG, Genez T, Ghattaoraya GS, Martinez JG, Guijarro C, Hardy M, Hollis Z, Hourlier T, Hunt T, Kay M, Kaykala V, Le T, Lemos D, Marques-Coelho D, Marugán JC, Merino G, Mirabueno L, Mushtaq A, Hossain S, Ogeh DN, Sakthivel MP, Parker A, Perry M, Piližota I, Prosovetskaia I, Pérez-Silva JG, Salam A, Saraiva-Agostinho N, Schuilenburg H, Sheppard D, Sinha S, Sipos B, Stark W, Steed E, Sukumaran R, Sumathipala D, Suner MM, Surapaneni L, Sutinen K, Szpak M, Tricomi F, Urbina-Gómez D, Veidenberg A, Walsh T, Walts B, Wass E, Willhoft N, Allen J, Alvarez-Jarreta J, Chakiachvili M, Flint B, Giorgetti S, Haggerty L, Ilsley G, Loveland J, Moore B, Mudge J, Tate J, Thybert D, Trevanion S, Winterbottom A, Frankish A, Hunt SE, Ruffier M, Cunningham F, Dyer S, Finn R, Howe K, Harrison PW, Yates AD, Flicek P. Ensembl 2023. Nucleic Acids Res 2022; 51:D933-D941. [PMID: 36318249 PMCID: PMC9825606 DOI: 10.1093/nar/gkac958] [Citation(s) in RCA: 204] [Impact Index Per Article: 102.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/06/2022] [Accepted: 10/14/2022] [Indexed: 11/22/2022] Open
Abstract
Ensembl (https://www.ensembl.org) has produced high-quality genomic resources for vertebrates and model organisms for more than twenty years. During that time, our resources, services and tools have continually evolved in line with both the publicly available genome data and the downstream research and applications that utilise the Ensembl platform. In recent years we have witnessed a dramatic shift in the genomic landscape. There has been a large increase in the number of high-quality reference genomes through global biodiversity initiatives. In parallel, there have been major advances towards pangenome representations of higher species, where many alternative genome assemblies representing different breeds, cultivars, strains and haplotypes are now available. In order to support these efforts and accelerate downstream research, it is our goal at Ensembl to create high-quality annotations, tools and services for species across the tree of life. Here, we report our resources for popular reference genomes, the dramatic growth of our annotations (including haplotypes from the first human pangenome graphs), updates to the Ensembl Variant Effect Predictor (VEP), interactive protein structure predictions from AlphaFold DB, and the beta release of our new website.
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Affiliation(s)
- Fergal J Martin
- To whom correspondence should be addressed. Tel: +44 1223 49 44 44;
| | - M Ridwan Amode
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Alisha Aneja
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Olanrewaju Austine-Orimoloye
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Andrey G Azov
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - If Barnes
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Arne Becker
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Ruth Bennett
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Andrew Berry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Jyothish Bhai
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Simarpreet Kaur Bhurji
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Alexandra Bignell
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Sanjay Boddu
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Paulo R Branco Lins
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Lucy Brooks
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Shashank Budhanuru Ramaraju
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Mehrnaz Charkhchi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Alexander Cockburn
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Luca Da Rin Fiorretto
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Claire Davidson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Kamalkumar Dodiya
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Sarah Donaldson
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Bilal El Houdaigui
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Tamara El Naboulsi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Reham Fatima
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Carlos Garcia Giron
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Thiago Genez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Gurpreet S Ghattaoraya
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Jose Gonzalez Martinez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Cristi Guijarro
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Matthew Hardy
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Zoe Hollis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Thibaut Hourlier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Toby Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Mike Kay
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Vinay Kaykala
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Tuan Le
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Diana Lemos
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Diego Marques-Coelho
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - José Carlos Marugán
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Gabriela Alejandra Merino
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Louisse Paola Mirabueno
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Aleena Mushtaq
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Syed Nakib Hossain
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Denye N Ogeh
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Manoj Pandian Sakthivel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Anne Parker
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Malcolm Perry
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Ivana Piližota
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Irina Prosovetskaia
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - José G Pérez-Silva
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Ahamed Imran Abdul Salam
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Nuno Saraiva-Agostinho
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Helen Schuilenburg
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Dan Sheppard
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Swati Sinha
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Botond Sipos
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - William Stark
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Emily Steed
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Ranjit Sukumaran
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Dulika Sumathipala
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Marie-Marthe Suner
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Likhitha Surapaneni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Kyösti Sutinen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Michal Szpak
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Francesca Floriana Tricomi
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - David Urbina-Gómez
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Andres Veidenberg
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Thomas A Walsh
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Brandon Walts
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Elizabeth Wass
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Natalie Willhoft
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Jamie Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Jorge Alvarez-Jarreta
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Marc Chakiachvili
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Bethany Flint
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Stefano Giorgetti
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Garth R Ilsley
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Jane E Loveland
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Benjamin Moore
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Jonathan M Mudge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - John Tate
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - David Thybert
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Stephen J Trevanion
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Andrea Winterbottom
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Adam Frankish
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Sarah E Hunt
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Magali Ruffier
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Fiona Cunningham
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Sarah Dyer
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Robert D Finn
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Kevin L Howe
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Peter W Harrison
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Andrew D Yates
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, Cambridge, UK
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Kong HK, Chan Z, Yan SW, Lo PY, Wong WT, Wong KH, Lo CL. Revealing the species-specific genotype of the edible bird’s nest-producing swiftlet, Aerodramus fuciphagus and the proteome of edible bird’s nest. Food Res Int 2022; 160:111670. [DOI: 10.1016/j.foodres.2022.111670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/23/2022] [Accepted: 07/07/2022] [Indexed: 11/16/2022]
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45
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Ali HES, Scoggin K, Murase H, Norris J, Menarim B, Dini P, Ball B. Transcriptomic and histochemical analysis reveal the complex regulatory networks in equine Chorioallantois during spontaneous term labor. Biol Reprod 2022; 107:1296-1310. [PMID: 35913756 DOI: 10.1093/biolre/ioac154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
The equine chorioallantois (CA) undergoes complex physical and biochemical changes during labor. However, the molecular mechanisms controlling these changes are still unclear. Therefore, the current study aimed to characterize the transcriptome of equine CA during spontaneous labor and compare it to that of normal preterm CA. Placental samples were collected postpartum from mares with normal term labor (TL group, n = 4) and from preterm not in labor mares (330 days GA; PTNL group, n = 4). Our study identified 4137 differentially expressed genes (DEGs) (1820 upregulated and 2317 downregulated) in CA during TL as compared to PTNL. TL was associated with the upregulation of several pro-inflammatory mediators (MHC-I, MHC-II, NLRP3, CXCL8, and MIF). Also, TL was associated with the upregulation of matrix metalloproteinase (MMP1, MMP2, MMP3, and MMP9) with subsequent extracellular matrix degradation and apoptosis, as reflected by upregulation of several apoptosis-related genes (ATF3, ATF4, FAS, FOS, and BIRC3). In addition, TL was associated with downregulation of 21 transcripts coding for collagens. The upregulation of proteases, along with the downregulation of collagens, is believed to be implicated in separation and rupture of the CA during TL. Additionally, TL was associated with downregulation of transcripts coding for proteins essential for progestin synthesis (SRD5A1 and AKR1C1) and angiogenesis (VEGFA and RTL1), as well as upregulation of prostaglandin synthesis-related genes (PTGS2 and PTGES), which could reflect the physiological switch in placental endocrinology and function during TL. In conclusion, our findings revealed the equine CA gene expression signature in spontaneous labor at term, which improves our understanding of the molecular mechanisms triggering labor.
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Affiliation(s)
- Hossam El-Sheikh Ali
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY 40546, USA.,Theriogenology Department, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Dakahlia, Egypt
| | - Kirsten Scoggin
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY 40546, USA
| | - Harutaka Murase
- Equine Science Division, Hidaka Training and Research Center, Japan Racing Association, Hokkaido 057-0171, Japan
| | - Jamie Norris
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY 40546, USA
| | - Bruno Menarim
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY 40546, USA
| | - Pouya Dini
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, CA 95616, USA
| | - Barry Ball
- Gluck Equine Research Center, Department of Veterinary Science, University of Kentucky, Lexington, KY 40546, USA
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Cappelletti E, Piras FM, Sola L, Santagostino M, Abdelgadir WA, Raimondi E, Lescai F, Nergadze SG, Giulotto E. Robertsonian fusion and centromere repositioning contributed to the formation of satellite-free centromeres during the evolution of zebras. Mol Biol Evol 2022; 39:6650076. [PMID: 35881460 PMCID: PMC9356731 DOI: 10.1093/molbev/msac162] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Centromeres are epigenetically specified by the histone H3 variant CENP-A and typically associated to highly repetitive satellite DNA. We previously discovered natural satellite-free neocentromeres in Equus caballus and E. asinus. Here, through ChIP-seq with an anti-CENP-A antibody, we found an extraordinarily high number of centromeres lacking satellite DNA in the zebras E. burchelli (15 of 22) and E. grevyi (13 of 23), demonstrating that the absence of satellite DNA at the majority of centromeres is compatible with genome stability and species survival and challenging the role of satellite DNA in centromere function. Nine satellite-free centromeres are shared between the two species in agreement with their recent separation. We assembled all centromeric regions and improved the reference genome of E. burchelli. Sequence analysis of the CENP-A binding domains revealed that they are LINE-1 and AT-rich with four of them showing DNA amplification. In the two zebras, satellite-free centromeres emerged from centromere repositioning or following Robertsonian fusion. In five chromosomes, the centromeric function arose near the fusion points, which are located within regions marked by traces of ancestral pericentromeric sequences. Therefore, besides centromere repositioning, Robertsonian fusions are an important source of satellite-free centromeres during evolution. Finally, in one case, a satellite-free centromere was seeded on an inversion breakpoint. At eleven chromosomes, whose primary constrictions seemed to be associated to satellite repeats by cytogenetic analysis, satellite-free neocentromeres were instead located near the ancestral inactivated satellite-based centromeres, therefore, the centromeric function has shifted away from a satellite repeat containing locus to a satellite-free new position.
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Affiliation(s)
- Eleonora Cappelletti
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Francesca M Piras
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Lorenzo Sola
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Marco Santagostino
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Wasma A Abdelgadir
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Elena Raimondi
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Francesco Lescai
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Solomon G Nergadze
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
| | - Elena Giulotto
- Department of Biology and Biotechnology "Lazzaro Spallanzani", University of Pavia, 27100 Pavia, Italy
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Momen M, Brounts SH, Binversie EE, Sample SJ, Rosa GJM, Davis BW, Muir P. Selection signature analyses and genome-wide association reveal genomic hotspot regions that reflect differences between breeds of horse with contrasting risk of degenerative suspensory ligament desmitis. G3 (BETHESDA, MD.) 2022; 12:6648349. [PMID: 35866615 PMCID: PMC9526059 DOI: 10.1093/g3journal/jkac179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 06/08/2022] [Indexed: 01/07/2023]
Abstract
Degenerative suspensory ligament desmitis is a progressive idiopathic condition that leads to scarring and rupture of suspensory ligament fibers in multiple limbs in horses. The prevalence of degenerative suspensory ligament desmitis is breed related. Risk is high in the Peruvian Horse, whereas pony and draft breeds have low breed risk. Degenerative suspensory ligament desmitis occurs in families of Peruvian Horses, but its genetic architecture has not been definitively determined. We investigated contrasts between breeds with differing risk of degenerative suspensory ligament desmitis and identified associated risk variants and candidate genes. We analyzed 670k single nucleotide polymorphisms from 10 breeds, each of which was assigned one of the four breed degenerative suspensory ligament desmitis risk categories: control (Belgian, Icelandic Horse, Shetland Pony, and Welsh Pony), low risk (Lusitano, Arabian), medium risk (Standardbred, Thoroughbred, Quarter Horse), and high risk (Peruvian Horse). Single nucleotide polymorphisms were used for genome-wide association and selection signature analysis using breed-assigned risk levels. We found that the Peruvian Horse is a population with low effective population size and our breed contrasts suggest that degenerative suspensory ligament desmitis is a polygenic disease. Variant frequency exhibited signatures of positive selection across degenerative suspensory ligament desmitis breed risk groups on chromosomes 7, 18, and 23. Our results suggest degenerative suspensory ligament desmitis breed risk is associated with disturbances to suspensory ligament homeostasis where matrix responses to mechanical loading are perturbed through disturbances to aging in tendon (PIN1), mechanotransduction (KANK1, KANK2, JUNB, SEMA7A), collagen synthesis (COL4A1, COL5A2, COL5A3, COL6A5), matrix responses to hypoxia (PRDX2), lipid metabolism (LDLR, VLDLR), and BMP signaling (GREM2). Our results do not suggest that suspensory ligament proteoglycan turnover is a primary factor in disease pathogenesis.
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Affiliation(s)
- Mehdi Momen
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Sabrina H Brounts
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Emily E Binversie
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Susannah J Sample
- Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Guilherme J M Rosa
- Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Brian W Davis
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX 77843, USA
| | - Peter Muir
- Corresponding author: Department of Surgical Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA.
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48
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Colpitts J, McLoughlin PD, Poissant J. Runs of homozygosity in Sable Island feral horses reveal the genomic consequences of inbreeding and divergence from domestic breeds. BMC Genomics 2022; 23:501. [PMID: 35820826 PMCID: PMC9275264 DOI: 10.1186/s12864-022-08729-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Accepted: 06/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Understanding inbreeding and its impact on fitness and evolutionary potential is fundamental to species conservation and agriculture. Long stretches of homozygous genotypes, known as runs of homozygosity (ROH), result from inbreeding and their number and length can provide useful population-level information on inbreeding characteristics and locations of signatures of selection. However, the utility of ROH for conservation is limited for natural populations where baseline data and genomic tools are lacking. Comparing ROH metrics in recently feral vs. domestic populations of well understood species like the horse could provide information on the genetic health of those populations and offer insight into how such metrics compare between managed and unmanaged populations. Here we characterized ROH, inbreeding coefficients, and ROH islands in a feral horse population from Sable Island, Canada, using ~41 000 SNPs and contrasted results with those from 33 domestic breeds to assess the impacts of isolation on ROH abundance, length, distribution, and ROH islands. RESULTS ROH number, length, and ROH-based inbreeding coefficients (FROH) in Sable Island horses were generally greater than in domestic breeds. Short runs, which typically coalesce many generations prior, were more abundant than long runs in all populations, but run length distributions indicated more recent population bottlenecks in Sable Island horses. Nine ROH islands were detected in Sable Island horses, exhibiting very little overlap with those found in domestic breeds. Gene ontology (GO) enrichment analysis for Sable Island ROH islands revealed enrichment for genes associated with 3 clusters of biological pathways largely associated with metabolism and immune function. CONCLUSIONS This study indicates that Sable Island horses tend to be more inbred than their domestic counterparts and that most of this inbreeding is due to historical bottlenecks and founder effects rather than recent mating between close relatives. Unique ROH islands in the Sable Island population suggest adaptation to local selective pressures and/or strong genetic drift and highlight the value of this population as a reservoir of equine genetic variation. This research illustrates how ROH analyses can be applied to gain insights into the population history, genetic health, and divergence of wild or feral populations of conservation concern.
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Affiliation(s)
- Julie Colpitts
- Department of Biology, University of Saskatchewan, Saskatchewan, Canada.
| | | | - Jocelyn Poissant
- Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.
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Laidre KL, Supple MA, Born EW, Regehr EV, Wiig Ø, Ugarte F, Aars J, Dietz R, Sonne C, Hegelund P, Isaksen C, Akse GB, Cohen B, Stern HL, Moon T, Vollmers C, Corbett-Detig R, Paetkau D, Shapiro B. Glacial ice supports a distinct and undocumented polar bear subpopulation persisting in late 21st-century sea-ice conditions. Science 2022; 376:1333-1338. [PMID: 35709290 DOI: 10.1126/science.abk2793] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Polar bears are susceptible to climate warming because of their dependence on sea ice, which is declining rapidly. We present the first evidence for a genetically distinct and functionally isolated group of polar bears in Southeast Greenland. These bears occupy sea-ice conditions resembling those projected for the High Arctic in the late 21st century, with an annual ice-free period that is >100 days longer than the estimated fasting threshold for the species. Whereas polar bears in most of the Arctic depend on annual sea ice to catch seals, Southeast Greenland bears have a year-round hunting platform in the form of freshwater glacial mélange. This suggests that marine-terminating glaciers, although of limited availability, may serve as previously unrecognized climate refugia. Conservation of Southeast Greenland polar bears, which meet criteria for recognition as the world's 20th polar bear subpopulation, is necessary to preserve the genetic diversity and evolutionary potential of the species.
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Affiliation(s)
- Kristin L Laidre
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA.,Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Megan A Supple
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Erik W Born
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Eric V Regehr
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
| | - Øystein Wiig
- Natural History Museum, University of Oslo, Blindern, NO-0318 Oslo, Norway
| | - Fernando Ugarte
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Jon Aars
- Norwegian Polar Institute, Fram Centre, NO-9296 Tromsø, Norway
| | - Rune Dietz
- Department of Ecoscience and Arctic Research Centre, Aarhus University, DK-4000 Roskilde, Denmark
| | - Christian Sonne
- Department of Ecoscience and Arctic Research Centre, Aarhus University, DK-4000 Roskilde, Denmark
| | - Peter Hegelund
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | - Carl Isaksen
- Greenland Institute of Natural Resources, 3900 Nuuk, Greenland
| | | | - Benjamin Cohen
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
| | - Harry L Stern
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA 98105, USA
| | - Twila Moon
- National Snow and Ice Data Center, Cooperative Institute for Research In Environmental Sciences (CIRES), University of Colorado, Boulder, CO 80309, USA
| | - Christopher Vollmers
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Russ Corbett-Detig
- Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - David Paetkau
- Wildlife Genetics International, Nelson, BC V1L 5P9, Canada
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.,Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
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50
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Pearman WS, Urban L, Alexander A. Commonly used Hardy-Weinberg equilibrium filtering schemes impact population structure inferences using RADseq data. Mol Ecol Resour 2022; 22:2599-2613. [PMID: 35593534 PMCID: PMC9541430 DOI: 10.1111/1755-0998.13646] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 05/13/2022] [Indexed: 11/29/2022]
Abstract
Reduced representation sequencing (RRS) is a widely used method to assay the diversity of genetic loci across the genome of an organism. The dominant class of RRS approaches assay loci associated with restriction sites within the genome (restriction site associated DNA sequencing, or RADseq). RADseq is frequently applied to non‐model organisms since it enables population genetic studies without relying on well‐characterized reference genomes. However, RADseq requires the use of many bioinformatic filters to ensure the quality of genotyping calls. These filters can have direct impacts on population genetic inference, and therefore require careful consideration. One widely used filtering approach is the removal of loci that do not conform to expectations of Hardy–Weinberg equilibrium (HWE). Despite being widely used, we show that this filtering approach is rarely described in sufficient detail to enable replication. Furthermore, through analyses of in silico and empirical data sets we show that some of the most widely used HWE filtering approaches dramatically impact inference of population structure. In particular, the removal of loci exhibiting departures from HWE after pooling across samples significantly reduces the degree of inferred population structure within a data set (despite this approach being widely used). Based on these results, we provide recommendations for best practice regarding the implementation of HWE filtering for RADseq data sets.
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Affiliation(s)
- William S Pearman
- Department of Marine Science, University of Otago, Dunedin, New Zealand.,Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Lara Urban
- Department of Anatomy, University of Otago, Dunedin, New Zealand
| | - Alana Alexander
- Department of Anatomy, University of Otago, Dunedin, New Zealand
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