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Genetic diversity and population structure in five Inner Mongolia cashmere goat populations using whole-genome genotyping

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Objective: As a charismatic species, cashmere goats have rich genetic resources. In the Inner Mongolia Autonomous Region, there are three cashmere goat varieties named and approved by the state. These goats are renowned for their high cashmere production and superior cashmere quality. Therefore, it is vitally important to protect their genetic resources as they will serve as breeding material for developing new varieties in the future.Methods: Three breeds including Inner Mongolia cashmere goats (IMCG), Hanshan White cashmere goats (HS), and Ujimqin white cashmere goats (WZMQ) were studied. IMCG were of three types: Aerbas (AEBS), Erlangshan (ELS), and Alashan (ALS). Nine DNA samples were collected for each population, and they were genomically re-sequenced to obtain high-depth data. The genetic diversity parameters of each population were estimated to determine selection intensity. Principal component analysis, phylogenetic tree construction and genetic differentiation parameter estimation were performed to determine genetic relationships among populations.Results: Samples from the 45 individuals from the five goat populations were sequenced, and 30,601,671 raw single nucleotide polymorphisms (SNPs) obtained. Then, variant calling was conducted using the reference genome, and 17,214,526 SNPs were retained after quality control. Individual sequencing depth of individuals ranged from 21.13× to 46.18×, with an average of 28.5×. In the AEBS, locus polymorphism (79.28) and expected heterozygosity (0.2554) proportions were the lowest, and the homologous consistency ratio (0.1021) and average inbreeding coefficient (0.1348) were the highest, indicating that this population had strong selection intensity. Conversely, ALS and WZMQ selection intensity was relatively low. Genetic distance between HS and the other four populations was relatively high, and genetic exchange existed among the other four populations.Conclusion: The Inner Mongolia cashmere goat (AEBS type) population has a relatively high selection intensity and a low genetic diversity. The IMCG (ALS type) and WZMQ populations had relatively low selection intensity and high genetic diversity. The genetic distance between HS and the other four populations was relatively high, with a moderate degree of differentiation. Overall, these genetic variations provide a solid foundation for resource identification of Inner Mongolia Autonomous Region cashmere goats in the future.

Abstract

Objective: As a charismatic species, cashmere goats have rich genetic resources. In the Inner Mongolia Autonomous Region, there are three cashmere goat varieties named and approved by the state. These goats are renowned for their high cashmere production and superior cashmere quality. Therefore, it is vitally important to protect their genetic resources as they will serve as breeding material for developing new varieties in the future. Methods: Three breeds including Inner Mongolia cashmere goats (IMCG), Hanshan White cashmere goats (HS), and Ujimqin white cashmere goats (WZMQ) were studied. IMCG were of three types: Aerbas (AEBS), Erlangshan (ELS), and Alashan (ALS). Nine DNA samples were collected for each population, and they were genomically re-sequenced to obtain high-depth data. The genetic diversity parameters of each population were estimated to determine selection intensity. Principal component analysis, phylogenetic tree construction and genetic differentiation parameter estimation were performed to determine genetic relationships among populations. Results: Samples from the 45 individuals from the five goat populations were sequenced, and 30,601,671 raw single nucleotide polymorphisms (SNPs) obtained. Then, variant calling was conducted using the reference genome, and 17,214,526 SNPs were retained after quality control. Individual sequencing depth of individuals ranged from 21.13× to 46.18×, with an average of 28.5×. In the AEBS, locus polymorphism (79.28) and expected heterozygosity (0.2554) proportions were the lowest, and the homologous consistency ratio (0.1021) and average inbreeding coefficient (0.1348) were the highest, indicating that this population had strong selection intensity. Conversely, ALS and WZMQ selection intensity was relatively low. Genetic distance between HS and the other four populations was relatively high, and genetic exchange existed among the other four populations. Conclusion: The Inner Mongolia cashmere goat (AEBS type) population has a relatively high selection intensity and a low genetic diversity. The IMCG (ALS type) and WZMQ populations had relatively low selection intensity and high genetic diversity. The genetic distance between HS and the other four populations was relatively high, with a moderate degree of differentiation. Overall, these genetic variations provide a solid foundation for resource identification of Inner Mongolia Autonomous Region cashmere goats in the future.

참고문헌 (30)

  1. Zheng Z, "The origin of domestication genes in goats", Sci Adv, 6, pp.eaaz5216~ (2020)[DOI]
  2. Islam R, "Genomewide association analysis reveals the genetic locus for high reproduction trait in Chinese Arbas Cashmere goat", Genes Genomics, 42, pp.893~899 (2020)[DOI]
  3. Li X, "Identification of selection signals by large-scale whole-genome resequencing of cashmere goats", Sci Rep, 7, pp.15142~ (2017)[DOI]
  4. Yang X, "Thoughts on current situation and development of cashmere industry in China", Wool Text J, 45, pp.84~87 (2017)[DOI]
  5. Zhang Y, "Estimates of genetic parameters and genetic changes for fleece traits in Inner Mongolia cashmere goats", Small Rumin Res, 117, pp.41~46 (2014)[DOI]
  6. Su R, "Screening the key genes of hair follicle growth cycle in Inner Mongolian Cashmere goat based on RNA sequencing", Arch Anim Breed, 63, pp.155~164 (2020)[DOI]
  7. Toro MA, "Characterization and conservation of genetic diversity in subdivided populations", Philos Trans R Soc Lond B Biol Sci, 360, pp.1367~1378 (2005)[DOI]
  8. Crawford A, "Relationships between single nucleotide polymorphisms of antioxidant enzymes and disease", Gene, 501, pp.89~103 (2012)[DOI]
  9. Grover A, "Development and use of molecular markers : past and present", Crit Rev Biotechnol, 36, pp.290~302 (2016)[DOI]
  10. Guo F, "Genetic diversity, population structure, and environmental adaptation signatures of chinese coastal hard-shell mussel Mytilus coruscus revealed by whole-genome sequencing", Int J Mol Sci, 24, pp.13641~ (2023)[DOI]
  11. Al-Atiyat RM, "Microsatellite based genetic diversity and population structure of three Saudi goat breeds", Small Rumin Res, 130, pp.90~94 (2015)[DOI]
  12. Deniskova TE, "Population structure and genetic diversity of 25 Russian sheep breeds based on whole-genome genotyping", Genet Sel Evol, 50, pp.29~ (2018)[DOI]
  13. Jung Y, "BWA-MEME : BWA-MEM emulated with a machine learning approach", Bioinformatics, 38, pp.2404~2413 (2022)[DOI]
  14. Meseret S, "Genetic diversity and population structure of six ethiopian cattle breeds from different geographical regions using high density single nucleotide polymorphisms", Livest Sci, 234, pp.103979~ (2020)[DOI]
  15. Danecek P, "BCFtools", csq : haplotype-aware variant consequences, 2017, pp.33, 2037~2039
  16. Wang K, "ANNOVAR : functional annotation of genetic variants from high-throughput sequencing data", Nucleic Acids Res, 38, pp.e164~ (2010)[DOI]
  17. Catchen J, "Stacks : an analysis tool set for population genomics", Mol Ecol, 22, pp.3124~3140 (2013)[DOI]
  18. Purcell S, "PLINK : a tool set for whole-genome association and population-based linkage analyses", Am J Hum Genet, 81, pp.559~575 (2007)[DOI]
  19. Yang J, "GCTA : a tool for genome-wide complex trait analysis", Am J Hum Genet, 88, pp.76~82 (2011)[DOI]
  20. Chan BKC, "Data analysis using R programming", Adv Exp Med Biol, 1082, pp.47~122 (2018)[DOI]
  21. Montana G, "Statistical software for gene mapping by admixture linkage disequilibrium", Brief Bioinform, 8, pp.393~395 (2007)[DOI]
  22. Deniskova TE, "SNP-based genotyping provides insight into the west asian origin of russian local goats", Front Genet, 12, pp.708740~ (2021)[DOI]
  23. Danecek P, "The variant call format and VCFtools", Bioinformatics, 27, pp.2156~2158 (2011)[DOI]
  24. Zhao YH, "The genetic diversity analysis on 4 Inner Mongolian Cashmere goats", Hubei Nong Ye Ke Xue, 8, pp.1681~1683 (2012)
  25. Botstein D, "Construction of a genetic linkage map in man using restriction fragment length polymorphisms", Am J Hum Genet, 32, pp.314~331 (1980)
  26. Weir BS, "Estimating f-statistics for the analysis of population structure", Evolution, 38, pp.1358~1370 (1984)[DOI]
  27. Mtileni BJ, "Genetic diversity and conservation of South African indigenous chicken populations", J Anim Breed Genet, 128, pp.209~218 (2011)[DOI]
  28. Wang X, "Genetic diversity, population structure and phylogenetic relationships of three indigenous pig breeds from Jiangxi Province, China, in a worldwide panel of pigs", Anim Genet, 49, pp.275~283 (2018)[DOI]
  29. Zhang M, "Genomic diversity dynamics in conserved chicken populations are revealed by genomewide SNPs", BMC Genomics, 19, pp.598~ (2018)[DOI]
  30. Machete JB, "Genetic diversity and population structure of three strains of Indigenous Tswana chickens and commercial broiler using single nucleotide polymormophic(SNP)markers", J Anim Sci, 11, pp.515~531 (2021)[DOI]

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