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Li R, Yang P, Dai X, Asadollahpour Nanaei H, Fang W, Yang Z, Cai Y, Zheng Z, Wang X, Jiang Y. A near complete genome for goat genetic and genomic research. Genet Sel Evol 2021; 53:74. [PMID: 34507524 PMCID: PMC8434745 DOI: 10.1186/s12711-021-00668-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Accepted: 09/01/2021] [Indexed: 01/29/2023] Open
Abstract
Background Goat, one of the first domesticated livestock, is a worldwide important species both culturally and economically. The current goat reference genome, known as ARS1, is reported as the first nonhuman genome assembly using 69× PacBio sequencing. However, ARS1 suffers from incomplete X chromosome and highly fragmented Y chromosome scaffolds. Results Here, we present a very high-quality de novo genome assembly, Saanen_v1, from a male Saanen dairy goat, with the first goat Y chromosome scaffold based on 117× PacBio long-read sequencing and 118× Hi-C data. Saanen_v1 displays a high level of completeness thanks to the presence of centromeric and telomeric repeats at the proximal and distal ends of two-thirds of the autosomes, and a much reduced number of gaps (169 vs. 773). The completeness and accuracy of the Saanen_v1 genome assembly are also evidenced by more assembled sequences on the chromosomes (2.63 Gb for Saanen_v1 vs. 2.58 Gb for ARS1), a slightly increased mapping ratio for transcriptomic data, and more genes anchored to chromosomes. The eight putative large assembly errors (1 to ~ 7 Mb each) found in ARS1 were amended, and for the first time, the substitution rate of this ruminant Y chromosome was estimated. Furthermore, sequence improvement in Saanen_v1, compared with ARS1, enables us to assign the likely correct positions for 4.4% of the single nucleotide polymorphism (SNP) probes in the widely used GoatSNP50 chip. Conclusions The updated goat genome assembly including both sex chromosomes (X and Y) and the autosomes with high-resolution quality will serve as a valuable resource for goat genetic research and applications. Supplementary Information The online version contains supplementary material available at 10.1186/s12711-021-00668-5.
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Affiliation(s)
- Ran Li
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Peng Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Xuelei Dai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Hojjat Asadollahpour Nanaei
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Wenwen Fang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Zhirui Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Yudong Cai
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Zhuqing Zheng
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Xihong Wang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China
| | - Yu Jiang
- Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Xinong Rd 22, Yangling, 712100, Shaanxi, China.
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Xiao C, Li J, Xie T, Chen J, Zhang S, Elaksher SH, Jiang F, Jiang Y, Zhang L, Zhang W, Xiang Y, Wu Z, Zhao S, Du X. The assembly of caprine Y chromosome sequence reveals a unique paternal phylogenetic pattern and improves our understanding of the origin of domestic goat. Ecol Evol 2021; 11:7779-7795. [PMID: 34188851 PMCID: PMC8216945 DOI: 10.1002/ece3.7611] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 02/05/2023] Open
Abstract
The mammalian Y chromosome offers a unique perspective on the male reproduction and paternal evolutionary histories. However, further understanding of the Y chromosome biology for most mammals is hindered by the lack of a Y chromosome assembly. This study presents an integrated in silico strategy for identifying and assembling the goat Y-linked scaffolds using existing data. A total of 11.5 Mb Y-linked sequences were clustered into 33 scaffolds, and 187 protein-coding genes were annotated. We also identified high abundance of repetitive elements. A 5.84 Mb subset was further ordered into an assembly with the evidence from the goat radiation hybrid map (RH map). The existing whole-genome resequencing data of 96 goats (worldwide distribution) were utilized to exploit the paternal relationships among bezoars and domestic goats. Goat paternal lineages were clearly divided into two clades (Y1 and Y2), predating the goat domestication. Demographic history analyses indicated that maternal lineages experienced a bottleneck effect around 2,000 YBP (years before present), after which goats belonging to the A haplogroup spread worldwide from the Near East. As opposed to this, paternal lineages experienced a population decline around the 10,000 YBP. The evidence from the Y chromosome suggests that male goats were not affected by the A haplogroup worldwide transmission, which implies sexually unbalanced contribution to the goat trade and population expansion in post-Neolithic period.
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Affiliation(s)
- Changyi Xiao
- College of InformaticsHuazhong Agricultural UniversityWuhanChina
| | - Jingjin Li
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
| | - Tanghui Xie
- College of InformaticsHuazhong Agricultural UniversityWuhanChina
| | - Jianhai Chen
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
- Institutes for Systems GeneticsFrontiers Science Center for Disease‐related Molecular NetworkWest China HospitalSichuan UniversityChengduChina
| | - Sijia Zhang
- College of InformaticsHuazhong Agricultural UniversityWuhanChina
| | - Salma Hassan Elaksher
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
- Genetics and Genetic Engineering DepartmentFaculty of AgricultureBenha UniversityMoshtohorEgypt
| | - Fan Jiang
- College of InformaticsHuazhong Agricultural UniversityWuhanChina
| | - Yaoxin Jiang
- College of InformaticsHuazhong Agricultural UniversityWuhanChina
| | - Lu Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
| | - Wei Zhang
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
| | - Yue Xiang
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
| | - Zhenyang Wu
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
- College of Agroforestry Engineering and PlanningTongren UniversityTongrenChina
| | - Shuhong Zhao
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
| | - Xiaoyong Du
- College of InformaticsHuazhong Agricultural UniversityWuhanChina
- Key Laboratory of Agricultural Animal Genetics, Breeding and ReproductionMinistry of EducationCollege of Animal Science and Veterinary MedicineHuazhong Agricultural UniversityWuhanChina
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3
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Abstract
I abandoned my original career choice of high school teaching to pursue dentistry and soon abandoned that path for genetics. The latter decision was due to a challenge by a professor that led to me reading Nobel speeches by pioneer geneticists before I had formal exposure to the subject. Even then, I was 15 years into my career before my interest in rodent genomes gave way to mapping cattle genes. Events behind these twists and turns in my career path comprise the first part of this review. The remainder is a review of the development of the field of bovine genomics from my personal perspective. I have had the pleasure of working with outstanding graduate students, postdocs, and colleagues to contribute my small part to a discipline that has evolved from a few individuals mapping an orphan genome to a discipline underlying a revolution in animal breeding.
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Affiliation(s)
- James E. (Jim) Womack
- Department of Veterinary Pathobiology, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas 77843–4467, USA
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4
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Berry A, Wu CW, Venturino AJ, Talaat AM. Biomarkers for Early Stages of Johne's Disease Infection and Immunization in Goats. Front Microbiol 2018; 9:2284. [PMID: 30323794 PMCID: PMC6172484 DOI: 10.3389/fmicb.2018.02284] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 09/07/2018] [Indexed: 11/13/2022] Open
Abstract
Background: Mycobacterium avium subsp. paratuberculosis (M. paratuberculosis) is the causative agent of Johne's disease, a chronic enteric infection of ruminants. Infection occurs within the first few months of life but remains subclinical for an average of 2-5 years. Current diagnostics to detect early subclinical infections lack diagnostic sensitivity, which hinders disease control resulting in significant economic losses to the dairy industry worldwide. The pathophysiology of early infection with M. paratuberculosis is still not well understood and represents a key hurdle toward the development of better diagnostics. Methods: The present study employed a large-scale RNA-Sequencing technology to better understand early stages of M. paratuberculosis infection and immunization. Specifically, gene expression profiles of peripheral blood mononuclear cells (PBMCs) from infected or vaccinated goats were compared to controls. Results: When compared to the naïve control goats, we identified a large number of transcripts (N = 226, 1018, 1714) that were differentially expressed in the M. paratuberculosis-infected goats, goats vaccinated with live attenuated or inactivated vaccines. There were also 1133 differentially expressed (DE) transcripts between vaccinated goats and infected ones. Bioinformatics evaluation of the DE genes indicated the regulation of a large number of genes with immunity and inflammatory functions including IL-18BP, IFN-γ, IL-17A, NOS2, LIPG, and IL-22. Interestingly, a large number of goat genes (N = 667) were regulated whether live or inactivated vaccine were used. Some of the regulated genes (e.g., IL-17A, IFN-γ) continued its unique transcriptional profile up to 12 months post-challenge. Conclusion: Overall, transcriptome analysis of infected and/or immunized goats identified potential targets for developing early diagnostics for Johne's disease and a potential approach to differentiate infected from vaccinated animals. A similar approach could be used to analyze later stages of Johne's disease or other chronic infections.
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Affiliation(s)
- Aubrey Berry
- The Laboratory of Bacterial Genomics, Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - Chia-Wei Wu
- The Laboratory of Bacterial Genomics, Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - Amanda J Venturino
- The Laboratory of Bacterial Genomics, Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, United States
| | - Adel M Talaat
- The Laboratory of Bacterial Genomics, Department of Pathobiological Sciences, University of Wisconsin-Madison, Madison, WI, United States
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5
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Dowidar YA, El-Sayed MA, Elrefy AM, Shoura HE. Detection of myostatin gene MSTN in some goat breeds ( Capra hircus). J Genet Eng Biotechnol 2018; 16:507-512. [PMID: 30733767 PMCID: PMC6353733 DOI: 10.1016/j.jgeb.2018.04.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2018] [Revised: 04/12/2018] [Accepted: 04/23/2018] [Indexed: 11/21/2022]
Abstract
Till now not information about myostatin MSTN gene in Egyptian goat breeds. Here we show more information about MSTN in some Egyptian goat breeds to enrich the database with new sequences for Egyptian goat breeds. Our conducted study focused on detection and identifying the MSTN gene as a candidate gene of the muscles growth trait in three goat breeds (Zaraibi, Baladi and Damascus). We found the similarity between the registered sequences with the accession numbers KY463684 for Zaraibi and KY463685 for Baladi and Chinese goat breeds of the MSTN gene deposited with international gene banks by up to 99% and some other species including sheep, cows and bull breeds with percentages of 95 to 97% and between 95 to 99%, respectively. There is also a correlation between the sequences of the registered pieces of Baladi with KY463686 and Damascus and Chinese breeds with KY441464 of MSTN deposited with international gene banks by up to 99% and some other species including sheep and bull breeds at a ratio of 99% for two pieces. Results demonstrated the deposited sequences of object are part of intron 1, exon 2 is fully sequenced with Zaraibi and Baladi breeds; the intron 1, exon 1 with Baladi breed; and the intron 2, part of exon 3 with Damascus breed. Therefore, the Egyptian goat breeds consider national wealth can be used to develop breeding and improvement programs which helps in more applicable scopes like biotechnology, genetic engineering and molecular biology with the help of bioinformatics tools.
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Affiliation(s)
- Y A Dowidar
- Biotechnology Dept., Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
| | - M A El-Sayed
- Animal Genetic Resources Dept., National Gene Bank, Agricultural Research Center, Egypt
| | - Aly M Elrefy
- Biotechnology Dept., Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
| | - Hytham E Shoura
- Biotechnology Dept., Faculty of Agriculture, Al-Azhar University, Cairo, Egypt
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6
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Perelman PL, Pichler R, Gaggl A, Larkin DM, Raudsepp T, Alshanbari F, Holl HM, Brooks SA, Burger PA, Periasamy K. Construction of two whole genome radiation hybrid panels for dromedary (Camelus dromedarius): 5000 RAD and 15000 RAD. Sci Rep 2018; 8:1982. [PMID: 29386528 PMCID: PMC5792482 DOI: 10.1038/s41598-018-20223-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Accepted: 01/11/2018] [Indexed: 01/08/2023] Open
Abstract
The availability of genomic resources including linkage information for camelids has been very limited. Here, we describe the construction of a set of two radiation hybrid (RH) panels (5000RAD and 15000RAD) for the dromedary (Camelus dromedarius) as a permanent genetic resource for camel genome researchers worldwide. For the 5000RAD panel, a total of 245 female camel-hamster radiation hybrid clones were collected, of which 186 were screened with 44 custom designed marker loci distributed throughout camel genome. The overall mean retention frequency (RF) of the final set of 93 hybrids was 47.7%. For the 15000RAD panel, 238 male dromedary-hamster radiation hybrid clones were collected, of which 93 were tested using 44 PCR markers. The final set of 90 clones had a mean RF of 39.9%. This 15000RAD panel is an important high-resolution complement to the main 5000RAD panel and an indispensable tool for resolving complex genomic regions. This valuable genetic resource of dromedary RH panels is expected to be instrumental for constructing a high resolution camel genome map. Construction of the set of RH panels is essential step toward chromosome level reference quality genome assembly that is critical for advancing camelid genomics and the development of custom genomic tools.
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Affiliation(s)
- Polina L Perelman
- Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Vienna, Austria
- Institute of Molecular and Cellular Biology and Novosibirsk State University, Novosibirsk, Russia
| | - Rudolf Pichler
- Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Vienna, Austria
| | - Anna Gaggl
- Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Vienna, Austria
| | - Denis M Larkin
- Department of Comparative Biomedical Sciences, Royal Veterinary College, University of London, London, NW1 0TU, United Kingdom
| | | | | | | | | | - Pamela A Burger
- Research Institute of Wildlife Ecology, Vetmeduni, Vienna, Austria
| | - Kathiravan Periasamy
- Animal Production and Health Laboratory, Joint FAO/IAEA Division, International Atomic Energy Agency, Vienna, Austria.
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7
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Mucha S, Mrode R, Coffey M, Kizilaslan M, Desire S, Conington J. Genome-wide association study of conformation and milk yield in mixed-breed dairy goats. J Dairy Sci 2017; 101:2213-2225. [PMID: 29290434 DOI: 10.3168/jds.2017-12919] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 11/08/2017] [Indexed: 11/19/2022]
Abstract
Identification of genetic markers that affect economically important traits is of high value from a biological point of view, enabling the targeting of candidate genes and providing practical benefits for the industry such as wide-scale genomic selection. This study is one of the first to investigate the genetic background of economically important traits in dairy goats using the caprine 50K single nucleotide polymorphism (SNP) chip. The aim of the project was to perform a genome-wide association study for milk yield and conformation of udder, teat, and feet and legs. A total of 137,235 milk yield records on 4,563 goats each scored for 10 conformation traits were available. Out of these, 2,381 goats were genotyped with the Illumina Caprine 50K BeadChip (Illumina Inc., San Diego, CA). A range of pseudo-phenotypes were used including deregressed breeding values and pseudo-estimated breeding values. Genome-wide association studies were performed using the multi-locus mixed model (MLMM) algorithm implemented in SNP & Variation Suite v7.7.8 (Golden Helix Inc., Bozeman, MT). A genome-wise significant [-log10(P-value) > 5.95] SNP for milk yield was identified on chromosome 19, with additional chromosome-wise significant (-log10(P-value) > 4.46] SNP on chromosomes 4, 8, 14, and 29. Three genome-wise significant SNP for conformation of udder attachment, udder depth, and front legs were identified on chromosome 19, and chromosome-wise SNP were found on chromosomes 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17, 18, 21, 23, and 27. The proportion of variance explained by the significant SNP was between 0.4 and 7.0% for milk yield and between 0.1 and 13.8% for conformation traits. This study is the first attempt to identify SNP associated with milk yield and conformation in dairy goats. Two genome-wise significant SNP for milk yield and 3 SNP for conformation of udder attachment, udder depth, and front legs were found. Our results suggest that conformation traits have a polygenic background because, for most of them, we did not identify any quantitative trait loci with major effect.
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Affiliation(s)
- Sebastian Mucha
- Poznan University of Life Sciences, 33 Wolynska, 60-637 Poznan, Poland; Animal and Veterinary Sciences, Scotland's Rural College, Easter Bush, Midlothian EH25 9RG, United Kingdom
| | - Raphael Mrode
- Animal and Veterinary Sciences, Scotland's Rural College, Easter Bush, Midlothian EH25 9RG, United Kingdom
| | - Mike Coffey
- Animal and Veterinary Sciences, Scotland's Rural College, Easter Bush, Midlothian EH25 9RG, United Kingdom
| | - Mehmet Kizilaslan
- Animal and Veterinary Sciences, Scotland's Rural College, Easter Bush, Midlothian EH25 9RG, United Kingdom; International Center for Livestock Research and Training, Breeding and Genetics Department, 06852, Ankara, Turkey
| | - Suzanne Desire
- Animal and Veterinary Sciences, Scotland's Rural College, Easter Bush, Midlothian EH25 9RG, United Kingdom.
| | - Joanne Conington
- Animal and Veterinary Sciences, Scotland's Rural College, Easter Bush, Midlothian EH25 9RG, United Kingdom
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8
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Li X, Su R, Wan W, Zhang W, Jiang H, Qiao X, Fan Y, Zhang Y, Wang R, Liu Z, Wang Z, Liu B, Ma Y, Zhang H, Zhao Q, Zhong T, Di R, Jiang Y, Chen W, Wang W, Dong Y, Li J. Identification of selection signals by large-scale whole-genome resequencing of cashmere goats. Sci Rep 2017; 7:15142. [PMID: 29123196 PMCID: PMC5680388 DOI: 10.1038/s41598-017-15516-0] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 10/27/2017] [Indexed: 01/14/2023] Open
Abstract
Inner Mongolia and Liaoning cashmere goats are two outstanding Chinese multipurpose breeds that adapt well to the semi-arid temperate grassland. These two breeds are characterized by their soft cashmere fibers, thus making them great models to identify genomic regions that are associated with cashmere fiber traits. Whole-genome sequencing of 70 cashmere goats produced more than 5.52 million single-nucleotide polymorphisms and 710,600 short insertions and deletions. Further analysis of these genetic variants showed some population-specific molecular markers for the two cashmere goat breeds that are otherwise phenotypically similar. By analyzing FST and θπ outlier values, we identified 135 genomic regions that were associated with cashmere fiber traits within the cashmere goat populations. These selected genomic regions contained genes, which are potential involved in the production of cashmere fiber, such as FGF5, SGK3, IGFBP7, OXTR, and ROCK1. Gene ontology enrichment analysis of identified short insertions and deletions also showed enrichment in keratinocyte differentiation and epidermal cell differentiation. These findings demonstrate that this genomic resource will facilitate the breeding of cashmere goat and other Capra species in future.
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Affiliation(s)
- Xiaokai Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Rui Su
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Engineering Research Center for Goat Genetics and Breeding - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China
| | - Wenting Wan
- Center for Ecological and Environmental Sciences, Key Laboratory for Space Bioscience & Biotechnology, Northwestern Polytechnical University, Xi'an, Shaanxi, 710072, China
| | - Wenguang Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Huaizhi Jiang
- College of Animal Science and Technology, Jilin Agricultural University, Changchun, Jilin, 130118, China
| | - Xian Qiao
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Yixing Fan
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Engineering Research Center for Goat Genetics and Breeding - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Ruijun Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Engineering Research Center for Goat Genetics and Breeding - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Zhihong Liu
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Engineering Research Center for Goat Genetics and Breeding - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Zhiying Wang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Animal Genetics, Breeding and Reproduction - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.,Engineering Research Center for Goat Genetics and Breeding - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China
| | - Bin Liu
- Institute of Animal Husbandry, Academy of Agriculture and Stockbreeding Sciences, Hohhot, Inner Mongolia, 010030, China
| | - Yuehui Ma
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Hongping Zhang
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Qianjun Zhao
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Tao Zhong
- Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu, 611130, China
| | - Ran Di
- The Key Laboratory for Farm Animal Genetic Resources and Utilization of Ministry of Agriculture of China, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, China
| | - Yu Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China
| | - Wei Chen
- College of Biological Big Data, Yunnan Agriculture University, Kunming, Yunnan, 650504, China.,Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, Yunnan, 650201, China
| | - Wen Wang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China.
| | - Yang Dong
- College of Biological Big Data, Yunnan Agriculture University, Kunming, Yunnan, 650504, China. .,BGI-Shenzhen, Shenzhen, Guangdong, 518083, China. .,Yunnan Research Institute for Local Plateau Agriculture and Industry, Kunming, Yunnan, 650201, China.
| | - Jinquan Li
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China. .,Key Laboratory of Animal Genetics, Breeding and Reproduction - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China. .,Key Laboratory of Mutton Sheep Genetics and Breeding, Ministry of Agriculture, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China. .,Engineering Research Center for Goat Genetics and Breeding - Inner Mongolia Autonomous Region, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, 010018, China.
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9
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Genome-wide Target Enrichment-aided Chip Design: a 66 K SNP Chip for Cashmere Goat. Sci Rep 2017; 7:8621. [PMID: 28819310 PMCID: PMC5561203 DOI: 10.1038/s41598-017-09285-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2017] [Accepted: 07/14/2017] [Indexed: 01/24/2023] Open
Abstract
Compared with the commercially available single nucleotide polymorphism (SNP) chip based on the Bead Chip technology, the solution hybrid selection (SHS)-based target enrichment SNP chip is not only design-flexible, but also cost-effective for genotype sequencing. In this study, we propose to design an animal SNP chip using the SHS-based target enrichment strategy for the first time. As an update to the international collaboration on goat research, a 66 K SNP chip for cashmere goat was created from the whole-genome sequencing data of 73 individuals. Verification of this 66 K SNP chip with the whole-genome sequencing data of 436 cashmere goats showed that the SNP call rates was between 95.3% and 99.8%. The average sequencing depth for target SNPs were 40X. The capture regions were shown to be 200 bp that flank target SNPs. This chip was further tested in a genome-wide association analysis of cashmere fineness (fiber diameter). Several top hit loci were found marginally associated with signaling pathways involved in hair growth. These results demonstrate that the 66 K SNP chip is a useful tool in the genomic analyses of cashmere goats. The successful chip design shows that the SHS-based target enrichment strategy could be applied to SNP chip design in other species.
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Kasianov AS, Klepikova AV, Kulakovskiy IV, Gerasimov ES, Fedotova AV, Besedina EG, Kondrashov AS, Logacheva MD, Penin AA. High-quality genome assembly of Capsella bursa-pastoris reveals asymmetry of regulatory elements at early stages of polyploid genome evolution. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2017; 91:278-291. [PMID: 28387959 DOI: 10.1111/tpj.13563] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 03/01/2017] [Accepted: 03/31/2017] [Indexed: 05/22/2023]
Abstract
Polyploidization and subsequent sub- and neofunctionalization of duplicated genes represent a major mechanism of plant genome evolution. Capsella bursa-pastoris, a widespread ruderal plant, is a recent allotetraploid and, thus, is an ideal model organism for studying early changes following polyploidization. We constructed a high-quality assembly of C. bursa-pastoris genome and a transcriptome atlas covering a broad sample of organs and developmental stages (available online at http://travadb.org/browse/Species=Cbp). We demonstrate that expression of homeologs is mostly symmetric between subgenomes, and identify a set of homeolog pairs with discordant expression. Comparison of promoters within such pairs revealed emerging asymmetry of regulatory elements. Among them there are multiple binding sites for transcription factors controlling the regulation of photosynthesis and plant development by light (PIF3, HY5) and cold stress response (CBF). These results suggest that polyploidization in C. bursa-pastoris enhanced its plasticity of response to light and temperature, and allowed substantial expansion of its distribution range.
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Affiliation(s)
- Artem S Kasianov
- A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 3 Gubkina str, Moscow, 119333, Russia
| | - Anna V Klepikova
- A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
- Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, 127051, Russia
| | - Ivan V Kulakovskiy
- N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, 3 Gubkina str, Moscow, 119333, Russia
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova 32, Moscow, 119991, Russia
- Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, Building 3, Moscow, 143026, Russia
| | - Evgeny S Gerasimov
- A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
- Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, 127051, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Anna V Fedotova
- A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Elizaveta G Besedina
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, 119991, Russia
| | - Alexey S Kondrashov
- A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
- Department of Ecology and Evolution, University of Michigan, 830 North University, Ann Arbor, MI 48109-1048, MI, USA
| | - Maria D Logacheva
- A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
- Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, 127051, Russia
- Extreme Biology Laboratory, Institute of Fundamental Medicine and Biology, Kazan Federal University, 18 Kremlevskaya str, Kazan, 420008, Russia
| | - Aleksey A Penin
- A. N. Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
- Institute for Information Transmission Problems of the Russian Academy of Sciences, Moscow, 127051, Russia
- Faculty of Biology, Lomonosov Moscow State University, Moscow, 119991, Russia
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Abstract
Animal models are an important resource for studying human diseases. Genetically engineered mice are the most commonly used species and have made significant contributions to our understanding of basic biology, disease mechanisms, and drug development. However, they often fail to recreate important aspects of human diseases and thus can have limited utility as translational research tools. Developing disease models in species more similar to humans may provide a better setting in which to study disease pathogenesis and test new treatments. This unit provides an overview of the history of genetically engineered large animals and the techniques that have made their development possible. Factors to consider when planning a large animal model, including choice of species, type of modification and methodology, characterization, production methods, and regulatory compliance, are also covered. © 2016 by John Wiley & Sons, Inc.
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Kim ES, Elbeltagy AR, Aboul-Naga AM, Rischkowsky B, Sayre B, Mwacharo JM, Rothschild MF. Multiple genomic signatures of selection in goats and sheep indigenous to a hot arid environment. Heredity (Edinb) 2016; 116:255-64. [PMID: 26555032 PMCID: PMC4806575 DOI: 10.1038/hdy.2015.94] [Citation(s) in RCA: 164] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Revised: 07/28/2015] [Accepted: 09/08/2015] [Indexed: 12/31/2022] Open
Abstract
Goats and sheep are versatile domesticates that have been integrated into diverse environments and production systems. Natural and artificial selection have shaped the variation in the two species, but natural selection has played the major role among indigenous flocks. To investigate signals of natural selection, we analyzed genotype data generated using the caprine and ovine 50K SNP BeadChips from Barki goats and sheep that are indigenous to a hot arid environment in Egypt's Coastal Zone of the Western Desert. We identify several candidate regions under selection that spanned 119 genes. A majority of the genes were involved in multiple signaling and signal transduction pathways in a wide variety of cellular and biochemical processes. In particular, selection signatures spanning several genes that directly or indirectly influenced traits for adaptation to hot arid environments, such as thermo-tolerance (melanogenesis) (FGF2, GNAI3, PLCB1), body size and development (BMP2, BMP4, GJA3, GJB2), energy and digestive metabolism (MYH, TRHDE, ALDH1A3), and nervous and autoimmune response (GRIA1, IL2, IL7, IL21, IL1R1) were identified. We also identified eight common candidate genes under selection in the two species and a shared selection signature that spanned a conserved syntenic segment to bovine chromosome 12 on caprine and ovine chromosomes 12 and 10, respectively, providing, most likely, the evidence for selection in a common environment in two different but closely related species. Our study highlights the importance of indigenous livestock as model organisms for investigating selection sweeps and genome-wide association mapping.
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Affiliation(s)
- E-S Kim
- Department of Animal Science, Iowa State University, Ames, IA, USA
| | - A R Elbeltagy
- Animal Production Research Institute (APRI), Agriculture Research Centre (ARC), Ministry of Agriculture, Cairo, Egypt
| | - A M Aboul-Naga
- Animal Production Research Institute (APRI), Agriculture Research Centre (ARC), Ministry of Agriculture, Cairo, Egypt
| | - B Rischkowsky
- Small Ruminant Genetics and Genomics Group, International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia
| | - B Sayre
- Department of Biology, Virginia State University, Petersburg, VA, USA
| | - J M Mwacharo
- Small Ruminant Genetics and Genomics Group, International Center for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia
| | - M F Rothschild
- Department of Animal Science, Iowa State University, Ames, IA, USA
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