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Comparative analysis of skin transcriptome reveals differences of cashmere fineness in different body parts of Inner Mongolia cashmere goats

  • Bohan Zhou (College of Animal Science, Inner Mongolia Agricultural University) ;
  • Haijiao Xi (College of Animal Science, Inner Mongolia Agricultural University) ;
  • Yongsheng Yu (College of Animal Science, Inner Mongolia Agricultural University) ;
  • Jinquan Li (Key Laboratory of Goat and Sheep Genetics, Breeding and Reproduction in Inner Mongolia Autonomous Region) ;
  • Rui Su (College of Animal Science, Inner Mongolia Agricultural University) ;
  • Qi Lv (College of Animal Science, Inner Mongolia Agricultural University) ;
  • Yanjun Zhang (College of Animal Science, Inner Mongolia Agricultural University) ;
  • Ruijun Wang (College of Animal Science, Inner Mongolia Agricultural University) ;
  • Zhiying Wang (College of Animal Science, Inner Mongolia Agricultural University)
  • 투고 : 2025.02.26
  • 심사 : 2025.07.03
  • 발행 : 2025.12.01

초록

Objective: The growth and development of secondary hair follicles primarily determine the economic value of cashmere traits, significantly influencing the quality of cashmere fineness. Previous studies have concentrated on the periodic growth regulation of hair follicles in Inner Mongolia cashmere goats (IMCGs), identifying numerous candidate genes that influence cashmere traits. Research on the factors and regulatory mechanisms affecting cashmere fineness in different body parts is currently limited. Methods: The differences of cashmere fineness traits among different body parts or ages were determined by multiple comparison analysis testing in analysis of variance. RNA-seq and Gene Ontology (GO) & Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were used to assess the differentially expressed genes (DEGs) across different body parts of IMCGs. The candidate genes were validated using quantitative real-time polymerase chain reaction techniques. Results: Ages and different body parts had significant effects on cashmere diameter of IMCGs (p<0.05). Cashmere diameter was coarsest in the abdomen, but finest in the neck and back. A total of 2,178 DEGs were specifically screened among four body parts based on cashmere diameter. GO and KEGG analyses showed that these DEGs were mainly enriched in signaling pathways related to hair growth, such as MAPK signaling pathway and extracellular matrix-receptor interaction. The expression of MATN2 and CA12 were consistent with the phenotype of cashmere fineness in different body parts. Conclusion: The differences of cashmere fineness among different body parts of IMCGs were investigated through transcriptome and phenotype analysis, which provide a basis for understanding molecular regulation of cashmere growth in cashmere goats. MATN2 and CA12 have been validated as regulatory genes influencing the heterogeneity of cashmere fineness in various parts of IMCGs.

키워드

과제정보

We would like to thank Associate Professor Wang for their excellent technical assistance in preparing experimental data. We also greatly appreciate the assistance with sample collection and phenotype determination provided by the herdsmen and workers in Inner Mongolia Jinlai Animal Husbandry Technology Co., Ltd. The authors also sincerely thank the editors and anonymous reviewers for their constructive criticism and helpful comments, which greatly improved the manuscript.

참고문헌

  1. Wang R, Wang X, Qi Y, et al. Genetic diversity analysis of Inner Mongolia cashmere goats (Erlangshan subtype) based on whole genome re-sequencing. BMC Genomics 2024;25: 698. https://doi.org/10.1186/s12864-024-10485-x
  2. Wang FH, Zhang L, Gong G, et al. Genome-wide association study of fleece traits in Inner Mongolia cashmere goats. Anim Genet 2021;52:375-9. https://doi.org/10.1111/age.13053
  3. Zhang L, Wang F, Gao G, et al. Genome-wide association study of body weight traits in Inner Mongolia cashmere goats. Front Vet Sci 2021;8:752746. https://doi.org/10.3389/fvets.2021.752746
  4. Zhu B, Xu T, Yuan J, Guo X, Liu D. Transcriptome sequencing reveals differences between primary and secondary hair follicle-derived dermal papilla cells of the cashmere goat (Capra hircus). PLOS ONE 2013;8:e76282. https://doi.org/10.1371/journal.pone.0076282
  5. Liu Y, Li X, Wang R, et al. Length and fineness variation and correlation analysis of cashmere in different parts of oneyear-old Inner Mongolia cashmere goats. Heilongjiang Anim Sci Vet Med 2019;10:58-62.
  6. Yang F, Liu Z, Zhao M, et al. Skin transcriptome reveals the periodic changes in genes underlying cashmere (ground hair) follicle transition in cashmere goats. BMC Genomics 2020;21:392. https://doi.org/10.1186/s12864-020-06779-5
  7. Gong G, Fan Y, Zhang Y, et al. The regulation mechanism of different hair types in Inner Mongolia cashmere goat based on PI3K-AKT pathway and FGF21. J Anim Sci 2022;100: skac292. https://doi.org/10.1093/jas/skac292
  8. Zhao R, Yihan W, Zhao Y, et al. Hair follicle regional specificity in different parts of bay Mongolian horse by histology and transcriptional profiling. BMC Genomics 2020;21:651. https://doi.org/10.1186/s12864-020-07064-1
  9. Jiang Y, Zou Q, Liu B, et al. Atlas of prenatal hair follicle morphogenesis using the pig as a model system. Front Cell Dev Biol 2021;9:721979. https://doi.org/10.3389/fcell.2021.721979
  10. Xiao D, Chen J, Xu L, et al. Protein biomarkers for the identification of forensically relevant human hair from different body parts in intimate contact cases. J Proteome Res 2023;22: 2391-9. https://doi.org/10.1021/acs.jproteome.3c00129
  11. Wang Z, Gerstein M, Snyder M. RNA-Seq: a revolutionary tool for transcriptomics. Nat Rev Genet 2009;10:57-63. https://doi.org/10.1038/nrg2484
  12. Su R, Gong G, Zhang L, et al. Screening the key genes of hair follicle growth cycle in Inner Mongolian cashmere goat based on RNA sequencing. Arch Anim Breed 2020;63:155-64. https://doi.org/10.5194/aab-63-155-2020
  13. Clark JF, Soriano P. Diverse Fgfr1 signaling pathways and endocytic trafficking regulate mesoderm development. Genes Dev 2024;38:393-414. https://doi.org/10.1101/gad.351593.124
  14. Xu Y, Zhang Y, Qin Y, et al. Multi-omics analysis of functional substances and expression verification in cashmere fineness. BMC Genomics 2023;24:720. https://doi.org/10.1186/s12864-023-09825-0
  15. Green MR, Sambrook J. Isolation of poly(A)+ messenger RNA using magnetic oligo(dT) beads. Cold Spring Harb Protoc 2019;10:982-96. https://doi.org/10.1101/pdb.prot101733
  16. Modi A, Vai S, Caramelli D, Lari M. The Illumina sequencing protocol and the NovaSeq 6000 system. In: Mengoni A, Bacci G, Fondi M, editors. Bacterial pangenomics: methods in molecular biology. Humana; 2021. pp. 15-42.
  17. Worley KC. A golden goat genome. Nat Genet 2017;49:485-6. https://doi.org/10.1038/ng.3824
  18. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol 2014;15:550. https://doi.org/10.1186/s13059-014-0550-8
  19. Wei Q, Khan IK, Ding Z, Yerneni S, Kihara D. NaviGO: interactive tool for visualization and functional similarity and coherence analysis with gene ontology. BMC Bioinform 2017;18:177. https://doi.org/10.1186/s12859-017-1600-5
  20. Chen Z, Halford NG, Liu C. Real-time quantitative PCR: primer design, reference gene selection, calculations and statistics. Metabolites 2023;13:806. https://doi.org/10.3390/metabo13070806
  21. Wang Z, Li H, Su R, et al. Relationships between cashmere production and other important economic traits of Inner Mongolia cashmere goats. Ital J Anim Sci 2019;18:1154-60. https://doi.org/10.1080/1828051X.2019.1626776
  22. Duan C, Xu J, Sun C, Jia Z, Zhang W. Effects of melatonin implantation on cashmere yield, fiber characteristics, duration of cashmere growth as well as growth and reproductive performance of Inner Mongolian cashmere goats. J Anim Sci Biotechnol 2015;6:22. https://doi.org/10.1186/s40104-015-0023-2
  23. Diao X, Yao L, Wang X, et al. Hair follicle development and cashmere traits in Albas goat kids. Animals 2023;13:617. https://doi.org/10.3390/ani13040617
  24. Islam R, Liu X, Gebreselassie G, Abied A, Ma Q. Genomewide association analysis reveals the genetic locus for high reproduction trait in Chinese Arbas cashmere goat. Genes Genomics 2020;42:893-9. https://doi.org/10.1007/s13258-020-00937-5
  25. Yan X, Li J, He L, et al. Accuracy of genomic prediction for fleece traits in Inner Mongolia cashmere goats. BMC Genomics 2024;25:349. https://doi.org/10.1186/s12864-024-10249-7
  26. McGregor BA, Butler KL. Sources of variation in fibre diameter attributes of Australian alpacas and implications for fleece evaluation and animal selection. Aust J Agric Res 2004;55: 433-42. https://doi.org/10.1071/AR03073
  27. Zhang M, Zheng W X, Gao W M, et al. Analysis of cashmere quality characteristics in Altay sheep. J Anim Husb Ecosyst 2017;38:24-9.
  28. Wang X, Chen Y, Yang Y. Phenotypic parameters and correlation analysis of different shearing parts in Northern Shaanxi white cashmere goats. J Livest Ecol 2016;37:19-22.
  29. Antonini M, Wang J, Lou Y, et al. Effects of year and sampling site on mean fibre diameter of Alashan cashmere goat. Small Rumin Res 2016;137:71-2. https://doi.org/10.1016/j.smallrumres.2016.03.011
  30. Rong Y, Wang X, Na Q, et al. Genome-wide association study for cashmere traits in Inner Mongolia cashmere goat population reveals new candidate genes and haplotypes. BMC Genomics 2024;25:658. https://doi.org/10.1186/s12864-024-10543-4
  31. Hrdlickova R, Toloue M, Tian B. RNA-Seq methods for transcriptome analysis. Wiley Interdiscip Rev RNA 2017;8:e1364. https://doi.org/10.1002/wrna.1364
  32. Rosati D, Palmieri M, Brunelli G, et al. Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: a review. Comput Struct Biotechnol J 2024;23:1154-68. https://doi.org/10.1016/j.csbj.2024.02.018
  33. Wang L, Feng Z, Wang X, Wang X, Zhang X. DEGseq: an R package for identifying differentially expressed genes from RNA-seq data. Bioinformatics 2010;26:136-8. https://doi.org/10.1093/bioinformatics/btp612
  34. Choi BY. Targeting Wnt/β-catenin pathway for developing therapies for hair loss. Int J Mol Sci 2020;21:4915. https://doi.org/10.3390/ijms21144915
  35. Wang LL. Gene selection and identification related to follicle development in Inner Mongolia cashmere goats. Inner Mongolia Agricultural University; 2016.
  36. Wang J, Zhou H, Hickford JGH, et al. Identification of caprine KRTAP28-1 and its effect on cashmere fiber diameter. Genes 2020;11:121. https://doi.org/10.3390/genes11020121
  37. Zhao M, Zhou H, Luo Y, et al. Variation in a newly identified caprine KRTAP gene is associated with raw cashmere fiber weight in Longdong cashmere goats. Genes 2021;12:625. https://doi.org/10.3390/genes12050625
  38. Qiao X, Su R, Wang Y, et al. Genome-wide target enrichmentaided chip design: a 66K SNP chip for cashmere goat. Sci Rep 2017;7:8621. https://doi.org/10.1038/s41598-017-09285-z
  39. Fu XF. Screening of regulatory factors related to fiber diameter traits in Tibetan cashmere goats based on transcriptome and proteome data. Gansu Agricultural University; 2021.
  40. Botchkarev VA, Sharov AA. BMP signaling in the control of skin development and hair follicle growth. Differentiation 2004;72:512-26. https://doi.org/10.1111/j.1432-0436.2004.07209005.x
  41. Akilli Öztürk Ö, Pakula H, Chmielowiec J, et al. Gab1 and MAPK signaling are essential in the hair cycle and hair follicle stem cell quiescence. Cell Rep 2015;13:561-72. https://doi.org/10.1016/j.celrep.2015.09.015
  42. Qu J, Wu X, Wang Q, et al. Effect of miR-101 on the proliferation and apoptosis of goat hair follicle stem cells. Genes 2022; 13:1035. https://doi.org/10.3390/genes13061035
  43. Wang X, Liu Y, He J, et al. Regulation of signaling pathways in hair follicle stem cells. Burns Trauma 2022;10:tkac022. https://doi.org/10.1093/burnst/tkac022
  44. Wu X, Wang J, Kang Y, et al. Regulation of proliferation and apoptosis of hair follicle stem cells by miR-145-5p in Yangtze River delta white goats. Genes 2022;13:1973. https://doi.org/10.3390/genes13111973
  45. Zannetti A, Benga G, Brunetti A, Napolitano F, Avallone L, Pelagalli A. Role of aquaporins in the physiological functions of mesenchymal stem cells. Cells 2020;9:2678. https://doi.org/10.3390/cells9122678
  46. Korpos É, Deák F, Kiss I. Matrilin-2, an extracellular adaptor protein, is needed for the regeneration of muscle, nerve and other tissues. Neural Regen Res 2015;10:866-9. https://doi.org/10.4103/1673-5374.158332
  47. Lee J, van der Valk WH, Serdy SA, et al. Generation and characterization of hair-bearing skin organoids from human pluripotent stem cells. Nat Protoc 2023;18:3975. https://doi.org/10.1038/s41596-023-00884-x
  48. Zhang Q, Cui Y, Yu S, et al. Histological of hair follicles from different parts of skin and expression of TGF-β2 and HIF-1α in young yak (Bos grunniens). Acta Vet Zootech Sin 2021;52: 3224-33. https://doi.org/10.11843/j.issn.0366-6964.2021.011.024
  49. Cao XR, Lu JY, Wu Q, et al. Expression differences of TGF-β receptor 1 and p38MAPK in different parts of sheep skin. Adv Animl Med 2017;38:24-8. https://doi.org/10.16437/j.cnki.1007-5038.2017.06.006
  50. Parma P, Radi O, Vidal V, et al. R-spondin1 is essential in sex determination, skin differentiation and malignancy. Nat Genet 2006;38:1304-9. https://doi.org/10.1038/ng1907
  51. Nam JS, Park E, Turcotte TJ, et al. Mouse R-spondin2 is required for apical ectodermal ridge maintenance in the hindlimb. Dev Biol 2007;311:124-35. https://doi.org/10.1016/j.ydbio.2007.08.023
  52. Gao SY, Yu XJ, Cheng JQ, et al. Differential expression of RSPO2 and β-catenin in different sites of alpaca skin. Acta Vet Zootech Sin 2016;47:931-7