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Arefnejad B, Zeinalabedini M, Talebi R, Mardi M, Ghaffari MR, Vahidi MF, Nekouei MK, Szmatoła T, Salekdeh GH. Unveiling the population genetic structure of Iranian horses breeds by whole-genome resequencing analysis. Mamm Genome 2024; 35:201-227. [PMID: 38520527 DOI: 10.1007/s00335-024-10035-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Accepted: 02/14/2024] [Indexed: 03/25/2024]
Abstract
Preserving genetic diversity is pivotal for enhancing genetic improvement and facilitating adaptive responses to selection. This study focuses on identifying key genetic variants, including single nucleotide polymorphisms (SNPs), insertion/deletion polymorphisms (INDELs), and copy number variants (CNVs), while exploring the genomic evolutionary connectedness among seven Iranian horses representing five indigenous breeds: Caspian, Turkemen, DareShuri, Kurdish, and Asil. Using whole-genome resequencing, we generated 2.7 Gb of sequence data, with raw reads ranging from 1.2 Gb for Caspian horses to 0.38 Gb for Turkoman horses. Post-filtering, approximately 1.9 Gb of reads remained, with ~ 1.5 Gb successfully mapped to the horse reference genome (EquCab3.0), achieving mapping rates between 76.4% (Caspian) and 98.35% (Turkoman). We identified 2,909,816 SNPs in Caspian horses, constituting around 0.1% of the genome. Notably, 71% of these SNPs were situated in intergenic regions, while 8.5 and 6.8% were located upstream and downstream, respectively. A comparative analysis of SNPs between Iranian and non-Iranian horse breeds showed that Caspian horses had the lowest number of shared SNPs with Turkoman horses. Instead, they showed a closer genetic relationship with DareShuri, Quarter, Arabian, Standardbred, and Asil breeds. Hierarchical clustering highlighted Caspian horses as a distinct cluster, underscoring their distinctive genomic signature. Caspian horses exhibit a unique genetic profile marked by an enrichment of private mutations in neurological genes, influencing sensory perception and awareness. This distinct genetic makeup shapes mating preferences and signifies a separate evolutionary trajectory. Additionally, significant non-synonymous single nucleotide polymorphisms (nsSNPs) in reproductive genes offer intervention opportunities for managing Caspian horses. These findings reveal the population genetic structure of Iranian horse breeds, contributing to the advancement of knowledge in areas such as conservation, performance traits, climate adaptation, reproduction, and resistance to diseases in equine science.
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Affiliation(s)
- Babak Arefnejad
- Department of Animal Science, University of Tehran, Karaj, Iran
| | - Mehrshad Zeinalabedini
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
| | - Reza Talebi
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Mohsen Mardi
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Mohammad Reza Ghaffari
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | - Mohammad Farhad Vahidi
- Department of Systems and Synthetic Biology, Agricultural Biotechnology Research Institute of Iran, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
| | | | - Tomasz Szmatoła
- Centre of Experimental and Innovative Medicine, University of Agriculture in Kraków, Al. Mickiewicza 24/28, 30-059, Kraków, Poland
- Department of Animal Molecular Biology, National Research Institute of Animal Production, Krakowska 1, 32‑083, Balice, Poland
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Bhardwaj A, Tandon G, Pal Y, Sharma NK, Nayan V, Soni S, Iquebal MA, Jaiswal S, Legha RA, Talluri TR, Bhattacharya TK, Kumar D, Rai A, Tripathi BN. Genome-Wide Single-Nucleotide Polymorphism-Based Genomic Diversity and Runs of Homozygosity for Selection Signatures in Equine Breeds. Genes (Basel) 2023; 14:1623. [PMID: 37628674 PMCID: PMC10454598 DOI: 10.3390/genes14081623] [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: 03/28/2023] [Revised: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023] Open
Abstract
The horse, one of the most domesticated animals, has been used for several purposes, like transportation, hunting, in sport, or for agriculture-related works. Kathiawari, Marwari, Manipuri, Zanskari, Bhutia, Spiti, and Thoroughbred are the main breeds of horses, particularly due to their agroclimatic adaptation and role in any kind of strong physical activity, and these characteristics are majorly governed by genetic factors. The genetic diversity and phylogenetic relationship of these Indian equine breeds using microsatellite markers have been reported, but further studies exploring the SNP diversity and runs of homozygosity revealing the selection signature of breeds are still warranted. In our study, the identification of genes that play a vital role in muscle development is performed through SNP detection via the whole-genome sequencing approach. A total of 96 samples, categorized under seven breeds, and 620,721 SNPs were considered to ascertain the ROH patterns amongst all the seven breeds. Over 5444 ROH islands were mined, and the maximum number of ROHs was found to be present in Zanskari, while Thoroughbred was confined to the lowest number of ROHs. Gene enrichment of these ROH islands produced 6757 functional genes, with AGPAT1, CLEC4, and CFAP20 as important gene families. However, QTL annotation revealed that the maximum QTLs were associated with Wither's height trait ontology that falls under the growth trait in all seven breeds. An Equine SNP marker database (EqSNPDb) was developed to catalogue ROHs for all these equine breeds for the flexible and easy chromosome-wise retrieval of ROH along with the genotype details of all the SNPs. Such a study can reveal breed divergence in different climatic and ecological conditions.
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Affiliation(s)
- Anuradha Bhardwaj
- ICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India; (Y.P.)
| | - Gitanjali Tandon
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India; (G.T.); (N.K.S.); (D.K.)
| | - Yash Pal
- ICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India; (Y.P.)
| | - Nitesh Kumar Sharma
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India; (G.T.); (N.K.S.); (D.K.)
| | - Varij Nayan
- ICAR-Central Institute for Research on Buffaloes, Hisar 125001, India;
| | - Sonali Soni
- ICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India; (Y.P.)
| | - Mir Asif Iquebal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India; (G.T.); (N.K.S.); (D.K.)
| | - Sarika Jaiswal
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India; (G.T.); (N.K.S.); (D.K.)
| | - Ram Avatar Legha
- ICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India; (Y.P.)
| | | | | | - Dinesh Kumar
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India; (G.T.); (N.K.S.); (D.K.)
| | - Anil Rai
- Division of Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi 110012, India; (G.T.); (N.K.S.); (D.K.)
| | - B. N. Tripathi
- ICAR-National Research Centre on Equines, Sirsa Road, Hisar 125001, India; (Y.P.)
- Indian Council of Agricultural Research, Krishi Bhawan, New Delhi 110001, India
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Vincelette A. The Characteristics, Distribution, Function, and Origin of Alternative Lateral Horse Gaits. Animals (Basel) 2023; 13:2557. [PMID: 37627349 PMCID: PMC10451235 DOI: 10.3390/ani13162557] [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: 06/15/2023] [Revised: 08/03/2023] [Accepted: 08/04/2023] [Indexed: 08/27/2023] Open
Abstract
This article traces the characteristics, origin, distribution, and function of alternative lateral horse gaits, i.e., intermediate speed lateral-sequence gaits. Such alternative lateral gaits (running walk, rack, broken pace, hard pace, and broken trot) are prized by equestrians today for their comfort and have been found in select horse breeds for hundreds of years and even exhibited in fossil equid trackways. After exploring the evolution and development of alternative lateral gaits via fossil equid trackways, human art, and historical writings, the functional and genetic factors that led to the genesis of these gaits are discussed. Such gaited breeds were particularly favored and spread by the Scythians, Celts, Turks, and Spaniards. Fast and low-swinging hard pacing gaits are common in several horse breeds of mountainous areas of East and North Asia; high-stepping rack and running walk gaits are often displayed in European and North and South American breeds; the broken pace is found in breeds of Central Asia, Southeast Asia, West Asia, Western North America, and Brazil in South America; and the broken trot occurs in breeds of North Asia, South Asia, the Southern United States, and Brazil in South America, inhabiting desert or marshy areas.
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Affiliation(s)
- Alan Vincelette
- Department of Pretheology, St. John's Seminary, 5012 Seminary Road, Camarillo, CA 93021, USA
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Arslan M. Whole-genome sequencing and genomic analysis of Norduz goat (Capra hircus). Mamm Genome 2023:10.1007/s00335-023-09990-3. [PMID: 37004528 DOI: 10.1007/s00335-023-09990-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 03/21/2023] [Indexed: 04/04/2023]
Abstract
Artificial and natural selective breeding of goats has resulted in many different goat breeds all around the world. Norduz goat is one of these breeds, and it is a local goat breed of Turkey. The goats are favorable due to pre-weaning viability and reproduction values compared to the regional breeds. Development in sequencing technologies has let to understand huge genomic structures and complex phenotypes. Until now, such a comprehensive study has not been carried out to understand the genomic structure of the Norduz goats, yet. In the study, the next-generation sequencing was carried out to understand the genomic structure of Norduz goat. Real-time PCR was used to evaluate prominent CNVs in the Norduz goat individuals. Whole genome of the goat was constructed with an average of 33.1X coverage level. In the stringent filtering condition, 9,757,980 SNPs, 1,536,715 InDels, and 290 CNVs were detected in the Norduz goat genome. Functional analysis of high-impact SNP variations showed that the classical complement activation biological process was affected significantly in the goat. CNVs in the goat genome were found in genes related to defense against viruses, immune response, and cell membrane transporters. It was shown that GBP2, GBP5, and mammalian ortholog GBP1, which are INF-stimulated GTPases, were found to be high copy numbers in the goats. To conclude, genetic variations mainly in immunological response processes suggest that Norduz goat is an immunologically improved goat breed and natural selection could take an important role in the genetical improvements of the goats.
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Affiliation(s)
- Mevlüt Arslan
- Department of Genetics, Faculty of Veterinary Medicine, Van Yüzüncü Yıl University, Tuşba, 65080, Van, Turkey.
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Polani S, Dean M, Lichter-Peled A, Hendrickson S, Tsang S, Fang X, Feng Y, Qiao W, Avni G, Kahila Bar-Gal G. Sequence Variant in the TRIM39-RPP21 Gene Readthrough is Shared Across a Cohort of Arabian Foals Diagnosed with Juvenile Idiopathic Epilepsy. JOURNAL OF GENETIC MUTATION DISORDERS 2022; 1:103. [PMID: 35465405 PMCID: PMC9031527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Juvenile idiopathic epilepsy (JIE) is a self-limiting neurological disorder with a suspected genetic predisposition affecting young Arabian foals of the Egyptian lineage. The condition is characterized by tonic-clonic seizures with intermittent post-ictal blindness, in which most incidents are sporadic and unrecognized. This study aimed to identify genetic components shared across a local cohort of Arabian foals diagnosed with JIE via a combined whole genome and targeted resequencing approach: Initial whole genome comparisons between a small cohort of nine diagnosed foals (cases) and 27 controls from other horse breeds identified variants uniquely shared amongst the case cohort. Further validation via targeted resequencing of these variants, that pertain to non-intergenic regions, on additional eleven case individuals revealed a single 19bp deletion coupled with a triple-C insertion (Δ19InsCCC) within the TRIM39-RPP21 gene readthrough that was uniquely shared across all case individuals, and absent from three additional Arabian controls. Furthermore, we have confirmed recent findings refuting potential linkage between JIE and other inherited diseases in the Arabian lineage, and refuted the potential linkage between JIE and genes predisposing a similar disorder in human newborns. This is the first study to report a genetic variant to be shared in a sub-population cohort of Arabian foals diagnosed with JIE. Further evaluation of the sensitivity and specificity of the Δ19InsCCC allele within additional cohorts of the Arabian horse is warranted in order to validate its credibility as a marker for JIE, and to ascertain whether it has been introduced into other horse breeds by Arabian ancestry.
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Affiliation(s)
- S Polani
- Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel
| | - M Dean
- National Cancer Institute, Division of Cancer Epidemiology & Genetics, Laboratory of Translational Genomics, USA
| | - A Lichter-Peled
- Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel
| | - S Hendrickson
- Department of Biology, Shepherd University, Shepherdstown, USA
| | | | - X Fang
- BGI-Shenzhen, Shenzhen, China
| | - Y Feng
- BGI-Shenzhen, Shenzhen, China
| | - W Qiao
- BGI-Shenzhen, Shenzhen, China
| | - G Avni
- Medisoos Equine Clinic, Kibutz Magal, Israel
| | - G Kahila Bar-Gal
- Koret School of Veterinary Medicine, The Robert H. Smith Faculty of Agriculture, Food and Environmental Sciences, The Hebrew University of Jerusalem, Rehovot, Israel
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MEHTA SHARATCHANDRA, TALLURI THIRUMALARAO, LEGHA RAMAVATAR, PAL YASH, TRIPATHI BHUPENDRANATH. Phenotypic trend, breeding value and heritability of biometric traits in Marwari horses. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2021. [DOI: 10.56093/ijans.v91i6.115450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Analysis of phenotypic trend and estimation of inbreeding coefficient, breeding value and heritability of biometric traits was carried out for a total of 226 Marwari horses. The pedigree construct divided the entire population of 226 horses into 6 tiers spanning over a period of 30 years. The inbreeding coefficient of the herd was estimated to be 0.0017. The average height at withers, body length, heart girth and body weight of Marwari horses was 150.15±0.04 cm, 151.44±0.06 cm; 170.02±0.19 cm and 371.34±0.52 kg, respectively with non-significant effect of sex, tier and interaction of sex and tier. The Best Linear Unbiased Prediction (BLUP) estimate of breeding value for the height at withers (150.45 cm), body length (151.97 cm), heart girth (169.73 cm) and body weight (366.3 kg) for Marwari horses was -0.059 cm, -0.079 cm, 0.096 cm and 3.526 kg, respectively. The effect of sex and interaction of sex and tiers was non-significant but that of tier on the estimated breeding value for body weight was significant indicating that body weight received favour in breeding programme. The heritability of height at withers, body length, heart girth and body weight has been estimated to be 0.396±0.586, 0.370±0.777, 0.507±1.95 and 0.597±0.612, respectively. Negligible inbreeding and constant phenotype over decades indicated that the Marwari herd has been bred to maintain enough genetic variation and hence it can be the most reliable source of the stallions and mares for propagation and conservation of this legendry breed of horse which is getting diluted and declining at a faster rate.
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Li J, Fan Z, Shen F, Pendleton AL, Song Y, Xing J, Yue B, Kidd JM, Li J. Genomic Copy Number Variation Study of Nine Macaca Species Provides New Insights into Their Genetic Divergence, Adaptation, and Biomedical Application. Genome Biol Evol 2020; 12:2211-2230. [PMID: 32970804 PMCID: PMC7846157 DOI: 10.1093/gbe/evaa200] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/19/2020] [Indexed: 02/06/2023] Open
Abstract
Copy number variation (CNV) can promote phenotypic diversification and adaptive evolution. However, the genomic architecture of CNVs among Macaca species remains scarcely reported, and the roles of CNVs in adaptation and evolution of macaques have not been well addressed. Here, we identified and characterized 1,479 genome-wide hetero-specific CNVs across nine Macaca species with bioinformatic methods, along with 26 CNV-dense regions and dozens of lineage-specific CNVs. The genes intersecting CNVs were overrepresented in nutritional metabolism, xenobiotics/drug metabolism, and immune-related pathways. Population-level transcriptome data showed that nearly 46% of CNV genes were differentially expressed across populations and also mainly consisted of metabolic and immune-related genes, which implied the role of CNVs in environmental adaptation of Macaca. Several CNVs overlapping drug metabolism genes were verified with genomic quantitative polymerase chain reaction, suggesting that these macaques may have different drug metabolism features. The CNV-dense regions, including 15 first reported here, represent unstable genomic segments in macaques where biological innovation may evolve. Twelve gains and 40 losses specific to the Barbary macaque contain genes with essential roles in energy homeostasis and immunity defense, inferring the genetic basis of its unique distribution in North Africa. Our study not only elucidated the genetic diversity across Macaca species from the perspective of structural variation but also provided suggestive evidence for the role of CNVs in adaptation and genome evolution. Additionally, our findings provide new insights into the application of diverse macaques to drug study.
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Affiliation(s)
- Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Institute of Animal Genetics and Breeding, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, Sichuan, China
| | - Zhenxin Fan
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Feichen Shen
- Department of Human Genetics, Medical School, University of Michigan
| | | | - Yang Song
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jinchuan Xing
- Department of Genetics and the Human Genetics Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway
| | - Bisong Yue
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
| | - Jeffrey M Kidd
- Department of Human Genetics, Medical School, University of Michigan
| | - Jing Li
- Key Laboratory of Bio-Resources and Eco-Environment (Ministry of Education), College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
- Sichuan Key Laboratory of Conservation Biology on Endangered Wildlife, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China
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Salek Ardestani S, Aminafshar M, Zandi Baghche Maryam MB, Banabazi MH, Sargolzaei M, Miar Y. A genome-wide signatures of selection study of Welsh ponies and draft horses revealed five genes associated with horse type variation. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100833] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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9
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Salek Ardestani S, Aminafshar M, Zandi Baghche Maryam MB, Banabazi MH, Sargolzaei M, Miar Y. Signatures of selection analysis using whole-genome sequence data reveals novel candidate genes for pony and light horse types. Genome 2020; 63:387-396. [PMID: 32407640 DOI: 10.1139/gen-2020-0001] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Natural selection and domestication have shaped modern horse populations, resulting in a vast range of phenotypically diverse breeds. Horse breeds are classified into three types (pony, light, and draft) generally based on their body type. Understanding the genetic basis of horse type variation and selective pressures related to the evolutionary trend can be particularly important for current selection strategies. Whole-genome sequences were generated for 14 pony and 32 light horses to investigate the genetic signatures of selection of the horse type in pony and light horses. In the overlapping extremes of the fixation index and nucleotide diversity results, we found novel genomic signatures of selective sweeps near key genes previously implicated in body measurements including C4ORF33, CRB1, CPN1, FAM13A, and FGF12 that may influence variation in pony and light horse types. This study contributes to a better understanding of the genetic background of differences between pony and light horse types.
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Affiliation(s)
- Siavash Salek Ardestani
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
| | - Mehdi Aminafshar
- Department of Animal Science, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
| | | | - Mohammad Hossein Banabazi
- Department of Biotechnology, Animal Science Research Institute of Iran, Agricultural Research, Education & Extension Organization, Karaj 3146618361, Iran
| | - Mehdi Sargolzaei
- Department of Pathobiology, University of Guelph, Guelph, ON NIG 2W1, Canada.,Select Sires Inc., Plain City, OH 43064, USA
| | - Younes Miar
- Department of Animal Science and Aquaculture, Dalhousie University, Truro, NS B2N 5E3, Canada
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Li B, He X, Zhao Y, Bai D, Du M, Song L, Liu Z, Yin Z, Manglai D. Transcriptome profiling of developing testes and spermatogenesis in the Mongolian horse. BMC Genet 2020; 21:46. [PMID: 32345215 PMCID: PMC7187496 DOI: 10.1186/s12863-020-00843-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 03/13/2020] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Horse testis development and spermatogenesis are complex physiological processes. METHODS To study these processes, three immature and three mature testes were collected from the Mongolian horse, and six libraries were established using high-throughput RNA sequencing technology (RNA-Seq) to screen for genes related to testis development and spermatogenesis. RESULTS A total of 16,237 upregulated genes and 8,641 downregulated genes were detected in the testis of the Mongolian horse. These genes play important roles in different developmental stages of spermatogenesis and testicular development. Five genes with alternative splicing events that may influence spermatogenesis and development of the testis were detected. GO (Gene ontology) and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway analyses were performed for functional annotation of the differentially expressed genes. Pathways related to "spermatogenesis," male gamete generation," "spermatid development" and "oocyte meiosis" were significantly involved in different stages of testis development and spermatogenesis. CONCLUSION Genes, pathways and alternative splicing events were identified with inferred functions in the process of spermatogenesis in the Mongolian horse. The identification of these differentially expressed genetic signatures improves our understanding of horse testis development and spermatogenesis.
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Affiliation(s)
- Bei Li
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Xiaolong He
- Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences, Hohhot, 010031, China
| | - Yiping Zhao
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Dongyi Bai
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Ming Du
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Lianjie Song
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Zhuang Liu
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Zhenchen Yin
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China
| | - Dugarjaviin Manglai
- College of Animal Science, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
- lnner Mongolia Key Laboratory of Equine Genetics, Breeding and Reproduction, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
- Scientific Observing and Experimental Station of Equine Genetics, Breeding and Reproduction, Ministry of Agriculture and Rural Affairs, Equine Research Center, Inner Mongolia Agricultural University, Hohhot, 010018, China.
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Corbi-Botto CM, Morales-Durand H, Zappa ME, Sadaba SA, Peral-García P, Giovambattista G, Díaz S. Genomic structural diversity in Criollo Argentino horses: Analysis of copy number variations. Gene 2019; 695:26-31. [DOI: 10.1016/j.gene.2018.12.067] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 12/04/2018] [Accepted: 12/27/2018] [Indexed: 12/11/2022]
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Felkel S, Vogl C, Rigler D, Dobretsberger V, Chowdhary BP, Distl O, Fries R, Jagannathan V, Janečka JE, Leeb T, Lindgren G, McCue M, Metzger J, Neuditschko M, Rattei T, Raudsepp T, Rieder S, Rubin CJ, Schaefer R, Schlötterer C, Thaller G, Tetens J, Velie B, Brem G, Wallner B. The horse Y chromosome as an informative marker for tracing sire lines. Sci Rep 2019; 9:6095. [PMID: 30988347 PMCID: PMC6465346 DOI: 10.1038/s41598-019-42640-w] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Accepted: 04/04/2019] [Indexed: 12/31/2022] Open
Abstract
Analysis of the Y chromosome is the best-established way to reconstruct paternal family history in humans. Here, we applied fine-scaled Y-chromosomal haplotyping in horses with biallelic markers and demonstrate the potential of our approach to address the ancestry of sire lines. We de novo assembled a draft reference of the male-specific region of the Y chromosome from Illumina short reads and then screened 5.8 million basepairs for variants in 130 specimens from intensively selected and rural breeds and nine Przewalski's horses. Among domestic horses we confirmed the predominance of a young'crown haplogroup' in Central European and North American breeds. Within the crown, we distinguished 58 haplotypes based on 211 variants, forming three major haplogroups. In addition to two previously characterised haplogroups, one observed in Arabian/Coldblooded and the other in Turkoman/Thoroughbred horses, we uncovered a third haplogroup containing Iberian lines and a North African Barb Horse. In a genealogical showcase, we distinguished the patrilines of the three English Thoroughbred founder stallions and resolved a historic controversy over the parentage of the horse 'Galopin', born in 1872. We observed two nearly instantaneous radiations in the history of Central and Northern European Y-chromosomal lineages that both occurred after domestication 5,500 years ago.
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Affiliation(s)
- Sabine Felkel
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, 1210, Austria
- Vienna Graduate School of Population Genetics, Vienna, Austria
| | - Claus Vogl
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, 1210, Austria
| | - Doris Rigler
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, 1210, Austria
| | - Viktoria Dobretsberger
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, 1210, Austria
| | | | - Ottmar Distl
- Institute for Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, 30559, Germany
| | - Ruedi Fries
- Lehrstuhl fuer Tierzucht, Technische Universitaet Muenchen, Freising, 85354, Germany
| | - Vidhya Jagannathan
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, 3001, Switzerland
| | - Jan E Janečka
- Department of Biological Sciences, Duquesne University, Pittsburgh, 15282, USA
| | - Tosso Leeb
- Institute of Genetics, Vetsuisse Faculty, University of Bern, Bern, 3001, Switzerland
| | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, 75007, Sweden
- Department of Biosystems, KU Leuven, Leuven, 3001, Belgium
| | - Molly McCue
- Veterinary Population Medicine Department, University of Minnesota, St. Paul, MN, 55108, USA
| | - Julia Metzger
- Institute for Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Hannover, 30559, Germany
| | | | - Thomas Rattei
- Department of Microbiology and Ecosystem Science, Division of Computational Systems Biology, University of Vienna, Althanstrasse 14, 1090, Vienna, Austria
| | - Terje Raudsepp
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, TX, 77843-4458, USA
| | - Stefan Rieder
- Agroscope, Swiss National Stud Farm, Avenches, 1580, Switzerland
| | - Carl-Johan Rubin
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, Uppsala, 75123, Sweden
| | - Robert Schaefer
- Agroscope, Swiss National Stud Farm, Avenches, 1580, Switzerland
| | - Christian Schlötterer
- Institut fuer Populationsgenetik, University of Veterinary Medicine Vienna, Vienna, 1210, Austria
| | - Georg Thaller
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, 24098, Germany
| | - Jens Tetens
- Institute of Animal Breeding and Husbandry, University of Kiel, Kiel, 24098, Germany
- Functional Breeding Group, Department of Animal Sciences, Georg-August-University Göttingen, Göttingen, 37077, Germany
| | - Brandon Velie
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, 75007, Sweden
- School of Life and Environmental Sciences, University of Sydney, Sydney, 2006, Australia
| | - Gottfried Brem
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, 1210, Austria
| | - Barbara Wallner
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Vienna, Vienna, 1210, Austria.
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Seong HS, Kim NY, Kim DC, Hwang NH, Son DH, Shin JS, Lee JH, Chung WH, Choi JW. Whole genome sequencing analysis of horse populations inhabiting the Korean Peninsula and Przewalski's horse. Genes Genomics 2019; 41:621-628. [PMID: 30941726 DOI: 10.1007/s13258-019-00795-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Accepted: 02/11/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND The Jeju horse is an indigenous horse breed in Korea. However, there is a severe lack of genomic studies on Korean horse breeds. OBJECTIVE The objective of this study was to report genomic characteristics of domestic horse populations that inhabit South Korea (Jeju, Jeju crossbred, and Thoroughbred) and a wild horse breed (Przewalski's horse). RESULTS Using the equine reference genome assembly (EquCab 2.0), more than ~ 6.5 billion sequence reads were successfully mapped, which generated an average of 40.87-fold coverage throughout the genome. Using these data, we detected a total of 12.88 million SNPs, of which 73.7% were found to be novel. All the detected SNPs were deeply annotated to retrieve SNPs in gene regions using the RefSeq and Ensemble gene sets. Approximately 27% of the total SNPs were located within genes, whereas the remaining 73% were found in intergenic regions. Using 129,776 coding SNPs, we retrieved a total of 49,171 nonsynonymous SNPs in 12,351 genes. Furthermore, we identified a total of 10,770 deleterious nonsynonymous SNPs which are predicted to affect protein structure or function. CONCLUSION We showed numerous genomic variants from domestic and wild horse breeds. These results provide a valuable resource for further studies on functions of SNP-containing genes, and can aid in determining the molecular basis underlying variation in economically important traits of horses.
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Affiliation(s)
- Ha-Seung Seong
- College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Nam-Young Kim
- Subtropical Animal Research Institute, National Institute of Animal Science, RDA, Jeju, 690-150, Republic of Korea
| | - Dae Cheol Kim
- Jeju Special Self-Governing Province Livestock Promotion, Jeju, Republic of Korea
| | - Nam-Hyun Hwang
- College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Da-Hye Son
- College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Jong Suh Shin
- College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea
| | - Joon-Hee Lee
- Institute of Agriculture and Life Science, College of Agriculture and Life Sciences, Gyeongsang National University, Jinju, 52828, Republic of Korea
| | - Won-Hyong Chung
- Division of Food Functionality Research, Research Group of Healthcare, Wanju-gun, 55365, Republic of Korea.
| | - Jung-Woo Choi
- College of Animal Life Science, Kangwon National University, Chuncheon, 24341, Republic of Korea.
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Comparative genome-wide survey of single nucleotide variation uncovers the genetic diversity and potential biomedical applications among six Macaca species. Int J Mol Sci 2018; 19:ijms19103123. [PMID: 30314376 PMCID: PMC6212917 DOI: 10.3390/ijms19103123] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2018] [Revised: 09/21/2018] [Accepted: 10/08/2018] [Indexed: 12/30/2022] Open
Abstract
Macaca is of great importance in evolutionary and biomedical research. Aiming at elucidating genetic diversity patterns and potential biomedical applications of macaques, we characterized single nucleotide variations (SNVs) of six Macaca species based on the reference genome of Macaca mulatta. Using eight whole-genome sequences, representing the most comprehensive genomic SNV study in Macaca to date, we focused on discovery and comparison of nonsynonymous SNVs (nsSNVs) with bioinformatic tools. We observed that SNV distribution patterns were generally congruent among the eight individuals. Outlier tests of nsSNV distribution patterns detected 319 bins with significantly distinct genetic divergence among macaques, including differences in genes associated with taste transduction, homologous recombination, and fat and protein digestion. Genes with specific nsSNVs in various macaques were differentially enriched for metabolism pathways, such as glycolysis, protein digestion and absorption. On average, 24.95% and 11.67% specific nsSNVs were putatively deleterious according to PolyPhen2 and SIFT4G, respectively, among which the shared deleterious SNVs were located in 564–1981 genes. These genes displayed enrichment signals in the ‘obesity-related traits’ disease category for all surveyed macaques, confirming that they were suitable models for obesity related studies. Additional enriched disease categories were observed in some macaques, exhibiting promising potential for biomedical application. Positively selected genes identified by PAML in most tested Macaca species played roles in immune and nervous system, growth and development, and fat metabolism. We propose that metabolism and body size play important roles in the evolutionary adaptation of macaques.
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Schurink A, da Silva VH, Velie BD, Dibbits BW, Crooijmans RPMA, Franҫois L, Janssens S, Stinckens A, Blott S, Buys N, Lindgren G, Ducro BJ. Copy number variations in Friesian horses and genetic risk factors for insect bite hypersensitivity. BMC Genet 2018; 19:49. [PMID: 30060732 PMCID: PMC6065148 DOI: 10.1186/s12863-018-0657-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Accepted: 07/19/2018] [Indexed: 12/04/2022] Open
Abstract
Background Many common and relevant diseases affecting equine welfare have yet to be tested regarding structural variants such as copy number variations (CNVs). CNVs make up a substantial proportion of total genetic variability in populations of many species, resulting in more sequence differences between individuals than SNPs. Associations between CNVs and disease phenotypes have been established in several species, but equine CNV studies have been limited. Aim of this study was to identify CNVs and to perform a genome-wide association (GWA) study in Friesian horses to identify genomic loci associated with insect bite hypersensitivity (IBH), a common seasonal allergic dermatitis observed in many horse breeds worldwide. Results Genotypes were obtained using the Axiom® Equine Genotyping Array containing 670,796 SNPs. After quality control of genotypes, 15,041 CNVs and 5350 CNV regions (CNVRs) were identified in 222 Friesian horses. Coverage of the total genome by CNVRs was 11.2% with 49.2% of CNVRs containing genes. 58.0% of CNVRs were novel (i.e. so far only identified in Friesian horses). A SNP- and CNV-based GWA analysis was performed, where about half of the horses were affected by IBH. The SNP-based analysis showed a highly significant association between the MHC region on ECA20 and IBH in Friesian horses. Associations between the MHC region on ECA20 and IBH were also detected based on the CNV-based analysis. However, CNVs associated with IBH in Friesian horses were not often in close proximity to SNPs identified to be associated with IBH. Conclusions CNVs were identified in a large sample of the Friesian horse population, thereby contributing to our knowledge on CNVs in horses and facilitating our understanding of the equine genome and its phenotypic expression. A clear association was identified between the MHC region on ECA20 and IBH in Friesian horses based on both SNP- and CNV-based GWA studies. These results imply that MHC contributes to IBH sensitivity in Friesian horses. Although subsequent analyses are needed for verification, nucleotide differences, as well as more complex structural variations like CNVs, seem to contribute to IBH sensitivity. IBH should be considered as a common disease with a complex genomic architecture. Electronic supplementary material The online version of this article (10.1186/s12863-018-0657-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Anouk Schurink
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700, AH, Wageningen, the Netherlands.
| | - Vinicius H da Silva
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700, AH, Wageningen, the Netherlands.,Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, P.O. Box 7023, 75007, Uppsala, Sweden.,Department of Animal Ecology, Netherlands Institute of Ecology, NIOO-KNAW, 6708, PB, Wageningen, the Netherlands
| | - Brandon D Velie
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, P.O. Box 7023, 75007, Uppsala, Sweden
| | - Bert W Dibbits
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700, AH, Wageningen, the Netherlands
| | - Richard P M A Crooijmans
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700, AH, Wageningen, the Netherlands
| | - Liesbeth Franҫois
- KU Leuven, Department of Biosystems, Livestock Genetics, P.O. Box 2456, 3001, Heverlee, Belgium
| | - Steven Janssens
- KU Leuven, Department of Biosystems, Livestock Genetics, P.O. Box 2456, 3001, Heverlee, Belgium
| | - Anneleen Stinckens
- KU Leuven, Department of Biosystems, Livestock Genetics, P.O. Box 2456, 3001, Heverlee, Belgium
| | - Sarah Blott
- Reproductive Biology, Faculty of Medicine and Health Sciences, The University of Nottingham, Leicestershire, LE12 5RD, UK
| | - Nadine Buys
- KU Leuven, Department of Biosystems, Livestock Genetics, P.O. Box 2456, 3001, Heverlee, Belgium
| | - Gabriella Lindgren
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, P.O. Box 7023, 75007, Uppsala, Sweden
| | - Bart J Ducro
- Animal Breeding and Genomics, Wageningen University & Research, P.O. Box 338, 6700, AH, Wageningen, the Netherlands
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Ghosh M, Sharma N, Singh AK, Gera M, Pulicherla KK, Jeong DK. Transformation of animal genomics by next-generation sequencing technologies: a decade of challenges and their impact on genetic architecture. Crit Rev Biotechnol 2018; 38:1157-1175. [PMID: 29631431 DOI: 10.1080/07388551.2018.1451819] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
For more than a quarter of a century, sequencing technologies from Sanger's method to next-generation high-throughput techniques have provided fascinating opportunities in the life sciences. The continuing upward trajectory of sequencing technologies will improve livestock research and expedite the development of various new genomic and technological studies with farm animals. The use of high-throughput technologies in livestock research has increased interest in metagenomics, epigenetics, genome-wide association studies, and identification of single nucleotide polymorphisms and copy number variations. Such studies are beginning to provide revolutionary insights into biological and evolutionary processes. Farm animals, such as cattle, swine, and horses, have played a dual role as economically and agriculturally important animals as well as biomedical research models. The first part of this study explores the current state of sequencing methods, many of which are already used in animal genomic studies, and the second part summarizes the state of cattle, swine, horse, and chicken genome sequencing and illustrates its achievements during the last few years. Finally, we describe several high-throughput sequencing approaches for the improved detection of known, unknown, and emerging infectious agents, leading to better diagnosis of infectious diseases. The insights from viral metagenomics and the advancement of next-generation sequencing will strongly support specific and efficient vaccine development and provide strategies for controlling infectious disease transmission among animal populations and/or between animals and humans. However, prospective sequencing technologies will require further research and in-field testing before reaching the marketplace.
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Affiliation(s)
- Mrinmoy Ghosh
- a Department of Animal Biotechnology , Jeju National University , Jeju-Do , Republic of Korea
| | - Neelesh Sharma
- b Department of Veterinary Science and Animal Husbandry , Sher-e-Kashmir University of Agricultural Sciences and Technology , R.S. Pura , India
| | - Amit Kumar Singh
- a Department of Animal Biotechnology , Jeju National University , Jeju-Do , Republic of Korea
| | - Meeta Gera
- a Department of Animal Biotechnology , Jeju National University , Jeju-Do , Republic of Korea
| | | | - Dong Kee Jeong
- a Department of Animal Biotechnology , Jeju National University , Jeju-Do , Republic of Korea
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18
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Gaunitz C, Fages A, Hanghøj K, Albrechtsen A, Khan N, Schubert M, Seguin-Orlando A, Owens IJ, Felkel S, Bignon-Lau O, de Barros Damgaard P, Mittnik A, Mohaseb AF, Davoudi H, Alquraishi S, Alfarhan AH, Al-Rasheid KAS, Crubézy E, Benecke N, Olsen S, Brown D, Anthony D, Massy K, Pitulko V, Kasparov A, Brem G, Hofreiter M, Mukhtarova G, Baimukhanov N, Lõugas L, Onar V, Stockhammer PW, Krause J, Boldgiv B, Undrakhbold S, Erdenebaatar D, Lepetz S, Mashkour M, Ludwig A, Wallner B, Merz V, Merz I, Zaibert V, Willerslev E, Librado P, Outram AK, Orlando L. Ancient genomes revisit the ancestry of domestic and Przewalski’s horses. Science 2018; 360:111-114. [DOI: 10.1126/science.aao3297] [Citation(s) in RCA: 176] [Impact Index Per Article: 29.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Accepted: 01/31/2018] [Indexed: 12/28/2022]
Abstract
The Eneolithic Botai culture of the Central Asian steppes provides the earliest archaeological evidence for horse husbandry, ~5500 years ago, but the exact nature of early horse domestication remains controversial. We generated 42 ancient-horse genomes, including 20 from Botai. Compared to 46 published ancient- and modern-horse genomes, our data indicate that Przewalski’s horses are the feral descendants of horses herded at Botai and not truly wild horses. All domestic horses dated from ~4000 years ago to present only show ~2.7% of Botai-related ancestry. This indicates that a massive genomic turnover underpins the expansion of the horse stock that gave rise to modern domesticates, which coincides with large-scale human population expansions during the Early Bronze Age.
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Highly Variable Genomic Landscape of Endogenous Retroviruses in the C57BL/6J Inbred Strain, Depending on Individual Mouse, Gender, Organ Type, and Organ Location. Int J Genomics 2017; 2017:3152410. [PMID: 28951865 PMCID: PMC5603323 DOI: 10.1155/2017/3152410] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2017] [Revised: 06/16/2017] [Accepted: 07/03/2017] [Indexed: 11/17/2022] Open
Abstract
Transposable repetitive elements, named the "TREome," represent ~40% of the mouse genome. We postulate that the germ line genome undergoes temporal and spatial diversification into somatic genomes in conjunction with the TREome activity. C57BL/6J inbred mice were subjected to genomic landscape analyses using a TREome probe from murine leukemia virus-type endogenous retroviruses (MLV-ERVs). None shared the same MLV-ERV landscape within each comparison group: (1) sperm and 18 tissues from one mouse, (2) six brain compartments from two females, (3) spleen and thymus samples from four age groups, (4) three spatial tissue sets from two females, and (5) kidney and liver samples from three females and three males. Interestingly, males had more genomic MLV-ERV copies than females; moreover, only in the males, the kidneys had higher MLV-ERV copies than the livers. Perhaps, the mouse-, gender-, and tissue/cell-dependent MLV-ERV landscapes are linked to the individual-specific and dynamic phenotypes of the C57BL/6J inbred population.
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Librado P, Gamba C, Gaunitz C, Der Sarkissian C, Pruvost M, Albrechtsen A, Fages A, Khan N, Schubert M, Jagannathan V, Serres-Armero A, Kuderna LFK, Povolotskaya IS, Seguin-Orlando A, Lepetz S, Neuditschko M, Thèves C, Alquraishi S, Alfarhan AH, Al-Rasheid K, Rieder S, Samashev Z, Francfort HP, Benecke N, Hofreiter M, Ludwig A, Keyser C, Marques-Bonet T, Ludes B, Crubézy E, Leeb T, Willerslev E, Orlando L. Ancient genomic changes associated with domestication of the horse. Science 2017; 356:442-445. [DOI: 10.1126/science.aam5298] [Citation(s) in RCA: 107] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
Ancient genomics of horse domesticationThe domestication of the horse was a seminal event in human cultural evolution. Libradoet al.obtained genome sequences from 14 horses from the Bronze and Iron Ages, about 2000 to 4000 years ago, soon after domestication. They identified variants determining coat color and genes selected during the domestication process. They could also see evidence of admixture with archaic horses and the demography of the domestication process, which included the accumulation of deleterious variants. The horse appears to have undergone a different type of domestication process than animals that were domesticated simply for food.Science, this issue p.442
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Affiliation(s)
- Pablo Librado
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
| | - Cristina Gamba
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
| | - Charleen Gaunitz
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
| | - Clio Der Sarkissian
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
| | - Mélanie Pruvost
- Institut Jacques Monod, UMR 7592 CNRS, Université Paris Diderot, 75205 Paris cedex 13, France
| | - Anders Albrechtsen
- Bioinformatics Center, Department of Biology, University of Copenhagen, 2200N Copenhagen, Denmark
| | - Antoine Fages
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
| | - Naveed Khan
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
- Department of Biotechnology, Abdul Wali Khan University, Mardan, Pakistan
| | - Mikkel Schubert
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
| | | | - Aitor Serres-Armero
- Institute of Evolutionary Biology (CSIC-UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain
- Center for Genomic Regulation (CNAG-CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | - Lukas F. K. Kuderna
- Institute of Evolutionary Biology (CSIC-UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain
- Center for Genomic Regulation (CNAG-CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | - Inna S. Povolotskaya
- Institute of Evolutionary Biology (CSIC-UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain
- Center for Genomic Regulation (CNAG-CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
| | - Andaine Seguin-Orlando
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
- National High-Throughput DNA Sequencing Center, Copenhagen, Denmark
| | - Sébastien Lepetz
- Centre National de la Recherche Scientifique, Muséum national d’histoire naturelle, Sorbonne Universités, Archéozoologie, Archéobotanique, Sociétés, Pratiques et Environnements (UMR 7209), 55 rue Buffon, 75005 Paris, France
| | | | - Catherine Thèves
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
| | - Saleh Alquraishi
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Ahmed H. Alfarhan
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Khaled Al-Rasheid
- Zoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia
| | - Stefan Rieder
- Agroscope, Swiss National Stud Farm, 1580 Avenches, Switzerland
| | - Zainolla Samashev
- Branch of Institute of Archaeology Margulan, Republic Avenue 24-405, 010000 Astana, Republic of Kazakhstan
| | - Henri-Paul Francfort
- CNRS, UMR 7041 Archéologie et Sciences de l’Antiquité, Archéologie de l'Asie Centrale, Maison René Ginouvès, 21 allée de l’Université, 92023 Nanterre, France
| | - Norbert Benecke
- German Archaeological Institute, Department of Natural Sciences, Berlin, 14195 Berlin, Germany
| | - Michael Hofreiter
- University of Potsdam, Faculty of Mathematics and Natural Sciences, Institute for Biochemistry and Biology, Karl-Liebknecht-Strasse 24-25, 14476 Potsdam, Germany
| | - Arne Ludwig
- Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin 10315, Germany
| | - Christine Keyser
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
- Institut de Médecine Légale, Université de Strasbourg, Strasbourg, France
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (CSIC-UPF), Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, 08003 Barcelona, Spain
- Center for Genomic Regulation (CNAG-CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028 Barcelona, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, 08010, Barcelona, Spain
| | - Bertrand Ludes
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
- Institut Médico-Légal, Université Paris Descartes, Paris, France
| | - Eric Crubézy
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
| | - Tosso Leeb
- Institute of Genetics, University of Bern, 3001 Bern, Switzerland
| | - Eske Willerslev
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
| | - Ludovic Orlando
- Centre for GeoGenetics, Natural History Museum of Denmark, Øster Voldgade 5-7, 1350K Copenhagen, Denmark
- Laboratoire d’Anthropobiologie Moléculaire et d’Imagerie de Synthèse, CNRS UMR 5288, Université de Toulouse, Université Paul Sabatier, 31000 Toulouse, France
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Al Abri MA, König von Borstel U, Strecker V, Brooks SA. Application of Genomic Estimation Methods of Inbreeding and Population Structure in an Arabian Horse Herd. J Hered 2017; 108:361-368. [DOI: 10.1093/jhered/esx025] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Accepted: 03/14/2017] [Indexed: 11/14/2022] Open
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Kader A, Liu X, Dong K, Song S, Pan J, Yang M, Chen X, He X, Jiang L, Ma Y. Identification of copy number variations in three Chinese horse breeds using 70K single nucleotide polymorphism BeadChip array. Anim Genet 2016; 47:560-9. [PMID: 27440410 DOI: 10.1111/age.12451] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/04/2016] [Indexed: 02/06/2023]
Abstract
Copy number variation (CNV), an essential form of genetic variation, has been increasingly recognized as one promising genetic marker in the analysis of animal genomes. Here, we used the Equine 70K single nucleotide polymorphism genotyping array for the genome-wide detection of CNVs in 96 horses from three diverse Chinese breeds: Debao pony (DB), Mongolian horse (MG) and Yili horse (YL). A total of 287 CNVs were determined and merged into 122 CNV regions (CNVRs) ranging from 199 bp to 2344 kb in size and distributed in a heterogeneous manner on chromosomes. These CNVRs were integrated with seven existing reports to generate a composite genome-wide dataset of 1558 equine CNVRs, revealing 69 (56.6%) novel CNVRs. The majority (69.7%) of the 122 CNVRs overlapped with 438 genes, whereas 30.3% were located in intergenic regions. Most of these genes were associated with common CNVRs, which were shared by divergent horse breeds. As many as 60, 42 and 91 genes overlapping with the breed-specific ss were identified in DB, MG and YL respectively. Among these genes, FGF11, SPEM1, PPARG, CIDEB, HIVEP1 and GALR may have potential relevance to breed-specific traits. These findings provide valuable information for understanding the equine genome and facilitating association studies of economically important traits with equine CNVRs in the future.
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Affiliation(s)
- Adiljan Kader
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China.,Xinjiang Academy of Animal Science, Urumqi, Xinjiang, 83000, China
| | - Xuexue Liu
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China
| | - Kunzhe Dong
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China.,United States Department of Agriculture, Agricultural Research Service, Avian Disease and Oncology Laboratory, East Lansing, MI, 48823, USA
| | - Shen Song
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China.,Department of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, 100094, China
| | - Jianfei Pan
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China
| | - Min Yang
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China
| | - Xiaofei Chen
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China
| | - Xiaohong He
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China
| | - Lin Jiang
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China.
| | - Yuehui Ma
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Sciences (IAS), Chinese Academy of Agricultural Sciences (CAAS), No 2 Yuanmingyuan West Rd., Haidian, Beijing, 100193, China.
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Schönbach C, Tan T, Ranganathan S. InCoB2014: mining biological data from genomics for transforming industry and health. BMC Genomics 2014; 15 Suppl 9:I1. [PMID: 25521539 PMCID: PMC4290585 DOI: 10.1186/1471-2164-15-s9-i1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The 13th International Conference on Bioinformatics (InCoB2014) was held for the first time in Australia, at Sydney, July 31-2 August, 2014. InCoB is the annual scientific gathering of the Asia-Pacific Bioinformatics Network (APBioNet), hosted since 2002 in the Asia-Pacific region. Of 106 full papers submitted to the BMC track of InCoB2014, 50 (47.2%) were accepted in BMC Bioinformatics, BMC Genomics and BMC Systems Biology supplements, with three papers in a new BMC Medical Genomics supplement. While the majority of presenters and authors were from Asia and Australia, the increasing number of US and European conference attendees augurs well for the international flavour of InCoB. Next year's InCoB will be held jointly with the Genome Informatics Workshop (GIW), September 9-11, 2015 in Tokyo, Japan, with a view to integrate bioinformatics communities in the region.
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