Differences in gastrointestinal metabolites in different breeds of yak revealed by combined multi-omics analysis

IF 0.9 Q4 GENETICS & HEREDITY

Gene Reports Pub Date : 2025-07-22 DOI:10.1016/j.genrep.2025.102301

Yang Gao , Xueyi Jing , Wangdui Basang , Xuelong Yu , Nan Jiang , Liang Hong

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Abstract

In this study, we systematically analyzed the microbial composition of the gastrointestinal tract and its metabolite differences between Niangya yaks and Sibu yaks by non-targeted metabolomics technology combined with 16S rDNA sequencing, aiming at providing theoretical references for yak breed selection, precision breeding, and healthy breeding. The results showed that the abundance of Solibacillus was higher in the gastrointestinal tract of the Sibu yak, while the abundance of Christensenellaceae_R-7_group, Prevotella, Candidatus_Saccharimonas and Lysinibacillus was higher in the Niangya yak. Metabolomics results showed that metabolites such as N-methyl-d-aspartic acid and L-homoserine were up-regulated in the rumen of Niangya yaks, and metabolites such as Val-Ala-lys and 2,4-dihydroxybenzophenone were up-regulated in the Sibu yaks. Metabolites such as Proscillaridin_a, 2-cis-4-trans-abscisic acid, and N-acetyl-d-galactosaminitol were up-regulated in the intestines of the Niangya yak group compared to the intestines of the Sibu yak group. Correlation analysis showed that L-homoserine was significantly and positively correlated with Christensenellaceae_R-7_group, Candidatus_Saccharimonas, Prevotella and Solibacillus (P < 0.05). N-methyl-d-aspartic acid was significantly positively correlated with Solibacillus, Christensenellaceae_R-7_group, Candidatus_ Saccharimonas were significantly positively correlated (P < 0.05). Lysinibacillus was significantly positively correlated with Proscillaridin_a, 2-cis-4-trans-abscisic _acid were significantly positively correlated (P < 0.05). These results suggest that different yak breeds may influence host growth performance, nutrient utilization efficiency and health status through their unique microbial-metabolite interaction networks.

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联合多组学分析揭示不同品种牦牛胃肠道代谢物的差异

本研究采用非靶向代谢组学技术结合16S rDNA测序技术，系统分析了牦牛胃肠道微生物组成及其代谢物在牦牛和思布牦牛之间的差异，旨在为牦牛品种选择、精准育种和健康育种提供理论参考。结果表明，思布牦牛胃肠道中梭状芽孢杆菌丰度较高，而乳牛胃肠道中Christensenellaceae_R-7_group、Prevotella、Candidatus_Saccharimonas和Lysinibacillus丰度较高。代谢组学结果显示，牦牛瘤胃代谢产物n -甲基-d-天冬氨酸和l-同型丝氨酸水平上调，四布牦牛瘤胃代谢产物缬氨酸和2,4-二羟基苯甲酮水平上调。乳牛组肠道代谢产物Proscillaridin_a、2-顺式-4-反式脱落酸和n -乙酰-d-半乳糖氨基醇的含量均高于四布牦牛组。相关分析显示，l -同型丝氨酸与Christensenellaceae_R-7_group、Candidatus_Saccharimonas、Prevotella和Solibacillus呈显著正相关(P <；0.05)。n -甲基-d-天冬氨酸与Solibacillus、Christensenellaceae_R-7_group、Candidatus_ Saccharimonas呈极显著正相关(P <；0.05)。Lysinibacillus与Proscillaridin_a、2-顺式-4-反式脱落酸（2-cis-4-trans-abscisic _acid）呈显著正相关(P <；0.05)。这些结果表明，不同牦牛品种可能通过其独特的微生物-代谢物相互作用网络影响宿主的生长性能、养分利用效率和健康状况。

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来源期刊

Gene Reports Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

3.30

自引率

7.70%

发文量

246

审稿时长

49 days

期刊介绍： Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.