Literature DB >> 31873721

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

Hui-Zeng Sun1,2, Mi Zhou2, Ou Wang2, Yanhong Chen2, Jian-Xin Liu1, Le Luo Guan2.   

Abstract

MOTIVATION: 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.
RESULTS: 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.
AVAILABILITY AND IMPLEMENTATION: 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 INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Year:  2020        PMID: 31873721     DOI: 10.1093/bioinformatics/btz951

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  11 in total

1.  Adaptation of gut microbiome and host metabolic systems to lignocellulosic degradation in bamboo rats.

Authors:  Kangpeng Xiao; Xianghui Liang; Haoran Lu; Xiaobing Li; Zhipeng Zhang; Xingbang Lu; Hai Wang; Yafei Meng; Ayan Roy; Wen Luo; Xuejuan Shen; David M Irwin; Yongyi Shen
Journal:  ISME J       Date:  2022-05-14       Impact factor: 11.217

Review 2.  Constraints on the utilization of cereal straw in lactating dairy cows: A review from the perspective of systems biology.

Authors:  Bing Wang; Huizeng Sun; Diming Wang; Hongyun Liu; Jianxin Liu
Journal:  Anim Nutr       Date:  2022-02-01

Review 3.  Feedomics provides bidirectional omics strategies between genetics and nutrition for improved production in cattle.

Authors:  Xiaohan Liu; Yifan Tang; Jiajin Wu; Jian-Xin Liu; Hui-Zeng Sun
Journal:  Anim Nutr       Date:  2022-04-04

4.  N-Carbamoylglutamate Supplementation on the Digestibility, Rumen Fermentation, Milk Quality, Antioxidant Parameters, and Metabolites of Jersey Cattle in High-Altitude Areas.

Authors:  Zixin Liu; Fuyong Yan; Hui Mi; Xiaokang Lv; Kaijun Wang; Bin Li; Tao Jin; Liang Chen; Guijie Zhang; Ximei Huang; Chuanshe Zhou; Zhiliang Tan
Journal:  Front Vet Sci       Date:  2022-04-04

5.  Cross-tissue single-cell transcriptomic landscape reveals the key cell subtypes and their potential roles in the nutrient absorption and metabolism in dairy cattle.

Authors:  Jia-Jin Wu; Senlin Zhu; Fengfei Gu; Teresa G Valencak; Jian-Xin Liu; Hui-Zeng Sun
Journal:  J Adv Res       Date:  2021-11-24       Impact factor: 12.822

6.  Co-expression of candidate genes regulating growth performance and carcass traits of Barki lambs in Egypt.

Authors:  Nasser Ghanem; Mohamed Zayed; Ismail Mohamed; Mona Mohammady; M F Shehata
Journal:  Trop Anim Health Prod       Date:  2022-08-11       Impact factor: 1.893

7.  Metagenomics analysis revealed the distinctive ruminal microbiome and resistive profiles in dairy buffaloes.

Authors:  Hui-Zeng Sun; Ke-Lan Peng; Ming-Yuan Xue; Jian-Xin Liu
Journal:  Anim Microbiome       Date:  2021-07-01

8.  Identification of Genomic Regions Influencing N-Metabolism and N-Excretion in Lactating Holstein- Friesians.

Authors:  Hanne Honerlagen; Henry Reyer; Michael Oster; Siriluck Ponsuksili; Nares Trakooljul; Björn Kuhla; Norbert Reinsch; Klaus Wimmers
Journal:  Front Genet       Date:  2021-07-14       Impact factor: 4.599

9.  Investigation of fiber utilization in the rumen of dairy cows based on metagenome-assembled genomes and single-cell RNA sequencing.

Authors:  Ming-Yuan Xue; Jia-Jin Wu; Yun-Yi Xie; Sen-Lin Zhu; Yi-Fan Zhong; Jian-Xin Liu; Hui-Zeng Sun
Journal:  Microbiome       Date:  2022-01-20       Impact factor: 14.650

Review 10.  Integration of Multiplied Omics, a Step Forward in Systematic Dairy Research.

Authors:  Yingkun Zhu; Dengpan Bu; Lu Ma
Journal:  Metabolites       Date:  2022-03-04
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