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PMID: 29843597 Published · epublish English Journal Article

Understanding the regulatory mechanisms of milk production using integrative transcriptomic and proteomic analyses: improving inefficient utilization of crop by-products as forage in dairy industry.

BMC genomics ·Vol. 19 ·No. 1 ·2018-05-29 ·页码 403

Dai W, Wang Q, Zhao F, Liu J, Liu H

Abstract

Bovine milk is an important nutrient source for humans. Forage plays a vital role in dairy husbandry via affecting milk quality and quantity. However, the differences in mammary metabolism of dairy cows fed different forages remain elucidated. In this study, we utilized transcriptomic RNA-seq and iTRAQ proteomic techniques to investigate and integrate the differences of molecular pathways and biological processes in the mammary tissues collected from 12 lactating cows fed corn stover (CS, low-quality, n = 6) and alfalfa hay (AH, high-quality, n = 6). A total of 1631 differentially expressed genes (DEGs; 1046 up-regulated and 585 down-regulated) and 346 differentially expressed proteins (DEPs; 138 increased and 208 decreased) were detected in the mammary glands between the CS- and AH-fed animals. Expression patterns of 33 DEPs (18 increased and 15 decreased) were consistent with the expression of their mRNAs. Compared with the mammary gland of AH-fed cows, the marked expression changes found in the mammary gland of CS group were for genes involved in reduced mammary growth/development (COL4A2, MAPK3, IKBKB, LGALS3), less oxidative phosphorylation (ATPsynGL, ATP6VOA1, ATP5H, ATP6VOD1, NDUFC1), enhanced lipid uptake/metabolism (SLC27A6, FABP4, SOD2, ACADM, ACAT1, IDH1, SCP2, ECHDC1), more active fatty acid beta-oxidation (HMGCS1), less amino acid/protein transport (SLC38A2, SLC7A8, RAB5a, VPS18), reduced protein translation (RPS6, RPS12, RPS16, RPS19, RPS20, RPS27), more proteasome- (PSMC2, PSMC6, PSMD14, PSMA2, PSMA3) and ubiquitin-mediated protein degradation (UBE2B, UBE2H, KLHL9, HSPH1, DNAJA1 and CACYBP), and more protein disassembly-related enzymes (SEC63, DNAJC3, DNAJB1, DNAJB11 and DNAJC12). Our results indicate that the lower milk production in the CS-fed dairy cows compared with the AH-fed cows was associated with a network of mammary gene expression changes, importantly, the prime factors include decreased energy metabolism, attenuated protein synthesis, enhanced protein degradation, and the lower mammary cell growth. The present study provides insights into the effects of the varying quality of forages on mammary metabolisms, which can help the improvement of strategies in feeding dairy cows with CS-based diet.

Keywords
Dairy cow Forage source Mammary gland Milk protein production Proteomics Transcriptomics
MeSH 主题词
Animal Feed/analysis Animals Cattle Crops, Agricultural/chemistry Dairying Female Gene Expression Profiling Gene Ontology Industry Mammary Glands, Animal/drug effects,metabolism Medicago sativa/chemistry Milk/drug effects,metabolism Proteomics Zea mays/chemistry
作者与单位
共 5 位作者,点击展开单位 / ORCID
Dai Wenting
Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hang Zhou, 310058, People's Republic of China.
Wang Quanjuan
Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hang Zhou, 310058, People's Republic of China.
Zhao Fengqi
Laboratory of Lactation and Metabolic Physiology, Department of Animal and Veterinary Sciences, University of Vermont, Burlington, VT, 05405, USA.
Liu Jianxin
Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hang Zhou, 310058, People's Republic of China.
Liu Hongyun ORCID
Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hang Zhou, 310058, People's Republic of China. hyliu@zju.edu.cn.
Article Info
Journal
BMC genomics
Abbr.
BMC Genomics
ISSN
1471-2164
Corresponding email
Published
2018-05-29
电子出版
2018-00-29
页码
403
Language
English
Country/Region
England
NLM ID
100965258
基金资助
National Key Research and Development Program of China · 2016YFD0500503
National Natural Science Foundations of China · 31372336
National Natural Science Foundations of China · 31672447
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