Multi-omics reveals functional genomic and metabolic mechanisms of milk production and quality in dairy cows

代谢组学 生物 生物技术 组学 反刍动物 瘤胃 基因组 微生物群 代谢组 饲料 食品科学 作物 生物化学 农学 生物信息学 发酵 基因
作者
Hui‐Zeng Sun,Mi Zhou,Ou Wang,Yanhong Chen,Jianxin Liu,Le Luo Guan
出处
期刊:Bioinformatics [Oxford University Press]
卷期号:36 (8): 2530-2537 被引量:43
标识
DOI:10.1093/bioinformatics/btz951
摘要

Enhancing the utilization of human-inedible crop by-products by ruminants to produce high-quality milk for human consumption is an emerging global task. We performed a multi-omics-based study to decipher the regulatory biological processes of milk production when cows fed low-quality crop by-products with the aim to improve their utilization.Seven types of different high-throughput omics data were generated across three central organs [rumen, liver and mammary gland (MG)] and biofluids (rumen fluid and blood) that involved in milk production. The integrated multi-omics analysis including metabolomics, metagenomics and transcriptomics showed altered microbiome at compositional and functional levels, microbial metabolites in the rumen, down-regulated genes and associated functions in liver and MG. These changes simultaneously contributed to down-regulated three key metabolic nodes (propionate, glucose and amino acid) across these organs and biofluids that led to lowered milk yield and quality when cows consumed corn stover (CS). Hippuric acid was identified as a biomarker that led to low milk production in CS-fed cows, suggesting a future evaluation parameter related to the metabolic mechanism of low-quality forage utilization. This study unveils the milk production-related biological mechanism across different biofluids and tissues under a low-quality forage diet, which provides a novel understanding and potential improvement strategies for future crop by-products utilization and sustainable ruminant production.The raw files of metagenomics, metabolomics, and transcriptomics data can be accessed at NCBI SRA (No. SRR5028206), EMBI-EBI (No. MTBLS411), and GEO (NO. GSE78524) databases respectively.Supplementary data are available at Bioinformatics online.
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