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Genetic diversity and selection of Tibetan sheep breeds revealed by whole-genome resequencing

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Objective: This study aimed to elucidate the underlying gene regions responsible for productive, phenotypic or adaptive traits in different ecological types of Tibetan sheep and the discovery of important genes encoding valuable traits. Methods: We used whole-genome resequencing to explore the genetic relationships, phylogenetic tree, and population genetic structure analysis. In addition, we identified 28 representative Tibetan sheep single-nucleotide polymorphisms (SNPs) and genomic selective sweep regions with different traits in Tibetan sheep by fixation index (Fst) and the nucleotide diversity (θπ) ratio. Results: The genetic relationships analysis showed that each breed partitioned into its own clades and had close genetic relationships. We also identified many potential breed-specific selective sweep regions, including genes associated with hypoxic adaptability (MTOR, TRHDE, PDK1, PTPN9, TMTC2, SOX9, EPAS1, PDGFD, SOCS3, TGFBR3), coat color (MITF, MC1R, ERCC2, TCF25, ITCH, TYR, RALY, KIT), wool traits (COL4A2, ERC2, NOTCH2, ROCK1, FGF5, SOX9), and horn phenotypes (RXFP2). In particular, a hornrelated gene, RXFP2, showed the four most significantly associated SNP loci (g. 29481646 A>G, g. 29469024 T>C, g. 29462010 C>T, g. 29461968 C>T) and haplotypes. Conclusion: This finding demonstrates the potential for genetic markers in future molecular breeding programs to improve selection for horn phenotypes. The results will facilitate the understanding of the genetic basis of production and adaptive unique traits in Chinese indigenous Tibetan sheep taxa and offer a reference for the molecular breeding of Tibetan sheep.

Abstract

Objective: This study aimed to elucidate the underlying gene regions responsible for productive, phenotypic or adaptive traits in different ecological types of Tibetan sheep and the discovery of important genes encoding valuable traits. Methods: We used whole-genome resequencing to explore the genetic relationships, phylogenetic tree, and population genetic structure analysis. In addition, we identified 28 representative Tibetan sheep single-nucleotide polymorphisms (SNPs) and genomic selective sweep regions with different traits in Tibetan sheep by fixation index (Fst) and the nucleotide diversity (θπ) ratio. Results: The genetic relationships analysis showed that each breed partitioned into its own clades and had close genetic relationships. We also identified many potential breed-specific selective sweep regions, including genes associated with hypoxic adaptability (MTOR, TRHDE, PDK1, PTPN9, TMTC2, SOX9, EPAS1, PDGFD, SOCS3, TGFBR3), coat color (MITF, MC1R, ERCC2, TCF25, ITCH, TYR, RALY, KIT), wool traits (COL4A2, ERC2, NOTCH2, ROCK1, FGF5, SOX9), and horn phenotypes (RXFP2). In particular, a hornrelated gene, RXFP2, showed the four most significantly associated SNP loci (g. 29481646 A>G, g. 29469024 T>C, g. 29462010 C>T, g. 29461968 C>T) and haplotypes. Conclusion: This finding demonstrates the potential for genetic markers in future molecular breeding programs to improve selection for horn phenotypes. The results will facilitate the understanding of the genetic basis of production and adaptive unique traits in Chinese indigenous Tibetan sheep taxa and offer a reference for the molecular breeding of Tibetan sheep.

참고문헌 (48)

  1. Hu XJ, "The genome landscape of Tibetan sheep reveals adaptive introgression from argali and the history of early human settlements on the Qinghai–Tibetan Plateau", Mol Biol Evol, 36, pp.283~303 (2019)[DOI]
  2. Zhao YX, "Genomic reconstruction of the history of native sheep reveals the peopling patterns of nomads and the expansion of early pastoralism in East Asia", Mol Biol Evol, 34, pp.2380~2395 (2017)[DOI]
  3. Liu J, "Genetic diversity and phylogenetic evolution of Tibetan sheep based on mtDNA D-Loop sequences", PLoS One, 11, pp.e0159308~ (2016)[DOI]
  4. Animal genetic resources in china : sheep and goats, "Du L", China National Commission of Animal Genetic Resources, 317~321 (2011)
  5. X. C. Zeng, "Genetic Diversity Measures of 8 Local Sheep Breeds in Northwest of China for Genetic Resource Conservation", Animal Bioscience, 23(12), pp.1552~1556 (2010), 아세아·태평양축산학회
  6. Li H, "Fast and accurate short read alignment with Burrows–Wheeler transform", Bioinformatics, 25, pp.1754~1760 (2009)[DOI]
  7. Van der Auwera GA, "From FastQ data to high-confidence variant calls : the genome analysis toolkit best practices pipeline", Curr Protoc Bioinformatics, 43, pp.11~ (2013)[DOI]
  8. Yu Q, "RAD-seq as an effective strategy for heterogenous variety identification in plants—a case study in Italian Ryegrass(Lolium multiflorum)", BMC Plant Biol, 22, pp.231~ (2022)[DOI]
  9. Wang K, "ANNOVAR : functional annotation of genetic variants from high-throughput sequencing data", Nucleic Acids Res, 38, pp.e164~ (2010)[DOI]
  10. Chen K, "BreakDancer : an algorithm for high-resolution mapping of genomic structural variation", Nat Methods, 6, pp.677~681 (2009)[DOI]
  11. Abyzov A, "CNVnator : an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing", Genome Res, 21, pp.974~984 (2011)[DOI]
  12. Guindon S, "New algorithms and methods to estimate maximum-likelihood phylogenies : assessing the performance of PhyML 3. 0", Systematic Biol, 59, pp.307~321 (2010)[DOI]
  13. Pritchard JK, "Inference of population structure using multilocus genotype data", Genetics, 155, pp.945~959 (2000)[DOI]
  14. Ashburner M, "Gene ontology : tool for the unification of biology", Nat Genet, 25, pp.25~29 (2000)[DOI]
  15. Kanehisa M, "KEGG : kyoto encyclopedia of genes and genomes", Nucleic Acids Res, 28, pp.27~30 (2000)[DOI]
  16. Huang DW, "Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources", Nat Protoc, 4, pp.44~57 (2009)[DOI]
  17. Koressaar T, "Enhancements and modifications of primer design program Primer3", Bioinformatics, 23, pp.1289~1291 (2007)[DOI]
  18. Gao X, "Long read genome assemblies complemented by single cell RNA-sequencing reveal genetic and cellular mechanisms underlying the adaptive evolution of yak", Nat Commu, 13, pp.4887~ (2022)[DOI]
  19. Yang JI, "Whole-genome sequencing of native sheep provides insights into rapid adaptations to extreme environments", Mol Biol Evol, 33, pp.2576~2592 (2016)[DOI]
  20. Guo S, "Genome-wide CNV analysis reveals variants associated with high-altitude adaptation and meat traits in Qaidam cattle", Electron J Biotechnol, 54, pp.8~16 (2021)[DOI]
  21. Liu X, "EPAS1 gain-of-function mutation contributes to high-altitude adaptation in Tibetan horses", Mol Biol Evol, 36, pp.2591~2603 (2019)[DOI]
  22. Guo W, "Origin and adaptation to high altitude of Tibetan semi-wild wheat", Nat Commun, 11, pp.5085~ (2020)[DOI]
  23. Xu SS, "Recent advances in understanding genetic variants associated with economically important traits in sheep(Ovis aries)revealed by high-throughput screening technologies", Front Agric Sci Eng, 4, pp.279~288 (2017)[DOI]
  24. Lee P, "Cellular adaptation to hypoxia through hypoxia inducible factors and beyond", Nat Rev Mol Cell Biol, 21, pp.268~283 (2020)[DOI]
  25. Bernardi R, "PML inhibits HIF-1αtranslation and neoangiogenesis through repression of mTOR", Nature, 442, pp.779~785 (2006)[DOI]
  26. Brugarolas J, "Renal-cell carcinoma--molecular pathways and therapies", New Engl J Med, 356, pp.185~187 (2007)[DOI]
  27. Thomas GV, "Hypoxia-inducible factor determines sensitivity to inhibitors of mTOR in kidney cancer", Nat Med, 12, pp.122~127 (2006)[DOI]
  28. Zewdu Edea, "Genomic signatures of high‑altitude adaptation in Ethiopian sheep populations", Genes & Genomics, 41(8), pp.973~981 (2019), 한국유전학회[DOI]
  29. Peng G, "The HIF1α-PDGFD-PDGFRαaxis controls glioblastoma growth at normoxia", mild-hypoxia and confers sensitivity to targeted therapy by echinomycin, 2021, pp.40, 278~
  30. Wei C, "Genome-wide analysis reveals adaptation to high altitudes in Tibetan sheep", Sci Rep, 6, pp.26770~ (2016)[DOI]
  31. Kim SH, "Microarray-based analysis of the differential expression of melanin synthesis genes in dark and light-muzzle Korean cattle", PLoS One, 9, pp.e96453~ (2014)[DOI]
  32. Han J, "Molecular characterization of two candidate genes associated with coat color in Tibetan sheep(Ovis arise)", J Integr Agric, 14, pp.1390~1397 (2015)[DOI]
  33. Mohammadi H, "Genome-wide association study and pathway analysis for identifying the genes associated with coat color in Lori-Bakhtiari sheep breed", Iranian J Anim Sci, 53, pp.153~160 (2022)[DOI]
  34. Guo J, "Whole-genome sequencing reveals selection signatures associated with important traits in six goat breeds", Sci Rep, 8, pp.10405~ (2018)[DOI]
  35. Saravanaperumal SA, "Exon-1 skipping and intron-1 retaining by alternative splicing of the c-KIT gene encodes a novel splice variant in the skin of Merino sheep(Ovis aries)", Mol Biol Rep, 48, pp.4987~4994 (2021)[DOI]
  36. Yao L, "Transcriptome profiling analysis reveals key genes of different coat color in sheep skin", Peer J, 7, pp.e8077~ (2019)[DOI]
  37. Rogers GE, "Biology of the wool follicle : an excursion into a unique tissue interaction system waiting to be re-discovered", Exp Dermatol, 15, pp.931~949 (2006)[DOI]
  38. Pöschl E, "Collagen IV is essential for basement membrane stability but dispensable for initiation of its assembly during early development", Development, 131, pp.1619~1628 (2004)[DOI]
  39. Ge W, "Melatonin promotes Cashmere goat(Capra hircus)secondary hair follicle growth : a view from integrated analysis of long non-coding and coding RNAs", Cell Cycle, 17, pp.1255~1267 (2018)[DOI]
  40. Takao-Rikitsu E, "Physical and functional interaction of the active zone proteins, CAST, RIM1, and Bassoon, in neurotransmitter release", J Cell Biol, 164, pp.301~311 (2004)[DOI]
  41. Dong Y, "Reference genome of wild goat(Capra aegagrus)and sequencing of goat breeds provide insight into genic basis of goat domestication", BMC Genomics, 16, pp.431~ (2015)[DOI]
  42. Mastrangelo S, "Combined approaches to identify genomic regions involved in phenotypic differentiation between low divergent breeds : Application in Sardinian sheep populations", J Anim Breed Genet, 136, pp.526~534 (2019)[DOI]
  43. Zhang Y, "Comparative study on seasonal hair follicle cycling by analysis of the transcriptomes from cashmere and milk goats", Genomics, 112, pp.332~345 (2020)[DOI]
  44. Fu X, "Integrated analysis of lncRNA and mRNA reveals novel insights into cashmere fineness in Tibetan cashmere goats", Peer J, 8, pp.e10217~ (2020)[DOI]
  45. Kardos M, "Whole-genome resequencing uncovers molecular signatures of natural and sexual selection in wild bighorn sheep", Mol Ecol, 24, pp.5616~5632 (2015)[DOI]
  46. Johnston SE, "Genomewide association mapping identifies the genetic basis of discrete and quantitative variation in sexual weaponry in a wild sheep population", Mol Ecol, 20, pp.2555~2566 (2011)[DOI]
  47. Wiedemar N, "A 1. 8-kb insertion in the 3′-UTR of RXFP2 is associated with polledness in sheep", Anim Genet, 46, pp.457~461 (2015)[DOI]
  48. Wang X, "Discovery of SNPs in RXFP2 related to horn types in sheep", Small Rumin Res, 116, pp.133~136 (2014)[DOI]

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