College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, 110866, China.
BMC Genomics. 2023 Nov 28;24(1):720. doi: 10.1186/s12864-023-09825-0.
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.
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.
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.
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.
有许多因素会影响羊绒的生长和发育。现有的羊绒研究主要强调单一组学层面。整合多组学分析可以通过涵盖整个范围提供更全面的理解。本研究通过多组学分析更准确、更全面地确定了影响羊绒细度的关键因素。
本研究使用粗绒型(CT_LCG)和细绒型辽宁绒山羊(FT_LCG)的皮肤组织进行分析。本研究采用了一种综合方法,涉及转录组学、转译组学、蛋白质组学和代谢组学,以鉴定与羊绒细度相关的物质。使用平行反应监测(PRM)和多重反应监测(MRM)技术验证了研究结果。
GO 功能富集分析确定了三个共同术语:多细胞生物体过程、免疫系统过程和细胞外区域。此外,KEGG 富集分析揭示了花生四烯酸代谢途径的参与。使用 PRM 技术验证了蛋白质表达趋势。PRM 技术验证的 KRT79 表达趋势与 TMT 蛋白质组学观察到的趋势一致,对羊绒细度具有正向调节作用。使用 MRM 技术验证了代谢物表达趋势。15 个验证代谢物中有 9 个的表达趋势与非靶向代谢组学分析一致。
本研究采用多组学分析方法鉴定了羊绒细度的关键调节因子,包括 PLA2G12A、KRT79 和前列腺素 B2。本研究的发现为进行羊绒细度的分子调控机制和功能方面的综合研究提供了有价值的数据和理论基础。