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Zhao B, Suo L, Wu Y, Chen T, Tulafu H, Lu Q, Liu W, Sammad A, Wu C, Fu X. Stress adaptation in Tibetan cashmere goats is governed by inherent metabolic differences and manifested through variable cashmere phenotypes. Genomics 2024; 116:110801. [PMID: 38286347 DOI: 10.1016/j.ygeno.2024.110801] [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: 09/18/2023] [Revised: 12/17/2023] [Accepted: 01/25/2024] [Indexed: 01/31/2024]
Abstract
Tibetan cashmere goats are not only served as a valuable model for studying adaptation to hypoxia and high-altitude conditions but also playing a pivotal role in bolstering local economies through the provision of premium quality cashmere yarn. In this study, we performed an integration and network analysis of metabolomic, transcriptomic and proteomic to elucidate the role of differentially expressed genes, important metabolites, and relevant cellular and metabolic pathways between the fine (average 12.04 ± 0.03 μm of mean fiber diameter) and coarse cashmere (average 14.88 ± 0.05 μm of mean fber diameter) producing by Tibetan cashmere goats. We identified a distinction of 56 and 71 differential metabolites (DMs) between the F and C cashmere groups under positive and negative ion modes, respectively. The KEGG pathway enrichment analysis of these DMs highlighted numerous pathways predominantly involved in amino acid and protein metabolism, as indicated by the finding that the most impactful pathway was the mammalian target of rapamycin (mTOR) signalling pathway. In the F group, we identified a distinctive metabolic profile where amino acid metabolites including serine, histidine, asparagine, glutamic acid, arginine, valine, aspartic acid, tyrosine, and methionine were upregulated, while lysine, isoleucine, glutamine, tryptophan, and threonine were downregulated. The regulatory network and gene co-expression network revealed crucial genes, metabolites, and metabolic pathways. The integrative omics analysis revealed a high enrichment of several pathways, notably encompassing protein digestion and absorption, sphingolipid signalling, and the synaptic vesicle cycle. Within the sphere of our integrative analysis, DNMT3B was identified as a paramount gene, intricately associated with significant proteins such as HMCN1, CPB2, GNG12, and LRP1. Our present study delineated the molecular underpinnings governing the variations in cashmere characteristics by conducting comprehensive analyses across metabolomic, transcriptomic, and proteomic dimensions. This research provided newly insights into the mechanisms regulating cashmere traits and facilitated the advancement of selective breeding programs aimed at cultivating high-quality superfine Tibetan cashmere goats.
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Affiliation(s)
- Bingru Zhao
- Jiangsu Livestock Embryo Engineering Laboratory, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu 210095, China; Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep & Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi Xinjiang 830011, China
| | - Langda Suo
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850009, China
| | - Yujiang Wu
- Institute of Animal Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, Tibet 850009, China
| | - Tong Chen
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep & Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi Xinjiang 830011, China
| | - Hanikezi Tulafu
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep & Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi Xinjiang 830011, China
| | - Qingwei Lu
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep & Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi Xinjiang 830011, China; College of Animal Science, Xinjiang Agricultural University, Urumqi Xinjiang 830052, China
| | - Wenna Liu
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep & Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi Xinjiang 830011, China; College of Animal Science, Xinjiang Agricultural University, Urumqi Xinjiang 830052, China
| | - Abdul Sammad
- College of Animal Sciences and Technology, China Agricultural University, Beijing 100193, China
| | - Cuiling Wu
- Key Laboratory of Special Environment Biodiversity Application and Regulation in Xinjiang/ International Center for the Collaborative Management of Cross-border Pest in Central Asia College of Life Sciences, School of Life Sciences, Xinjiang Normal University, Urumqi Xinjiang 830017, China.
| | - Xuefeng Fu
- Key Laboratory of Genetics Breeding and Reproduction of Xinjiang Wool-sheep & Cashmere-goat (XJYS1105), Institute of Animal Science, Xinjiang Academy of Animal Sciences, Urumqi Xinjiang 830011, China.
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Xu Y, Zhang Y, Qin Y, Gu M, Chen R, Sun Y, Wu Y, Li Q, Qiao Y, Wang X, Zhang Q, Kong L, Li S, Wang Z. Multi-omics analysis of functional substances and expression verification in cashmere fineness. BMC Genomics 2023; 24:720. [PMID: 38017403 PMCID: PMC10685610 DOI: 10.1186/s12864-023-09825-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 11/21/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Numerous factors influence the growth and development of cashmere. Existing research on cashmere has predominantly emphasized a single omics level. Integrating multi-omics analyses can offer a more comprehensive understanding by encompassing the entire spectrum. This study more accurately and comprehensively identified the key factors influencing cashmere fineness using multi-omics analysis. METHODS This study used skin tissues of coarse cashmere type (CT_LCG) and fine cashmere type Liaoning cashmere goats (FT_LCG) for the analysis. This study employed an integrated approach involving transcriptomics, translatomics, proteomics, and metabolomics to identify substances associated with cashmere fineness. The findings were validated using parallel reaction monitoring (PRM) and multiple reaction monitoring (MRM) techniques. RESULTS The GO functional enrichment analysis identified three common terms: multicellular organismal process, immune system process, and extracellular region. Furthermore, the KEGG enrichment analysis uncovered the involvement of the arachidonic acid metabolic pathway. Protein expression trends were verified using PRM technology. The expression trends of KRT79, as confirmed by PRM, were consistent with those observed in TMT proteomics and exhibited a positive regulatory effect on cashmere fineness. Metabolite expression trends were confirmed using MRM technology. The expression trends of 9 out of 15 validated metabolites were in agreement with those identified in the non-targeted metabolomics analysis. CONCLUSIONS This study employed multi-omics analysis to identify key regulators of cashmere fineness, including PLA2G12A, KRT79, and prostaglandin B2. The findings of this study offer valuable data and establish a theoretical foundation for conducting comprehensive investigations into the molecular regulatory mechanisms and functional aspects of cashmere fineness.
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Affiliation(s)
- Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Qian Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Yanjun Qiao
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Xiaowei Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Qiu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Lingchao Kong
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Shuaitong Li
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
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