Literature DB >> 28865861

Liver transcriptome analysis reveals important factors involved in the metabolic adaptation of the transition cow.

N-T Ha1, C Drögemüller2, C Reimer3, F Schmitz-Hsu4, R M Bruckmaier5, H Simianer3, J J Gross5.   

Abstract

During early lactation, dairy cows experience a severe metabolic load often resulting in the development of various diseases. The inevitable deficiency in nutrients and energy at the onset of lactation requires an optimal adaptation of the hepatic metabolism to overcome metabolic stress. We conducted a whole-liver transcriptome analysis for the transition cow to identify novel factors crucial for metabolic adaptation. Liver samples were obtained from 6 Red Holstein dairy cows (parity 2 to 7, mean ± standard deviation: 3.7 ± 2.3) at 3 time points: T1 = 22 ± 4 d antepartum, T2 = 10 ± 2 d postpartum, and T3 = 17 ± 2 d postpartum. Using RNA sequencing (RNA-seq), we studied the transcriptomic profile of the transition cow before and after parturition. We performed a differential gene expression analysis (DGEA) and gene-set enrichment analysis (GSEA) for biological processes (gene ontology, GO) and pathways (Kyoto Encyclopedia of Genes and Genomes, KEGG). Among the 10,186 expressed genes, we discovered 1,063 differentially expressed genes (false discovery rate = 5%). The GSEA revealed 16 biological processes and 7 pathways significantly (false discovery rate = 5%) associated with the hepatic changes of the transition cow. Our results confirm that major hepatic changes are related to energy mobilization after parturition; in particular, they are related to fatty acid oxidation/metabolism, cholesterol metabolism, and gluconeogenesis. Using the STRING database (https://string-db.org/), we investigated interactions between significant genes and identified 9 key genes (CYP7A1, APOA1, CREM, LOC522146, CYP2C87, HMGCR, FDFT1, SGLE, and CYP26A1) through which the different processes involved in the metabolic adaptation interact. Comparing our main results with the literature, we could identify further genes that have not yet been associated with the transition period (e.g., CPT1B, ADIPOR2, LEPR, CREB3L3, and CCND1) and that are mainly involved in processes controlled by AMP-activated protein kinase, an important regulator of energy homeostasis.
Copyright © 2017 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  RNA sequencing (RNA-seq); hepatic transcriptome; metabolic adaptation; transition cow

Mesh:

Year:  2017        PMID: 28865861     DOI: 10.3168/jds.2016-12454

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  High-Throughput Sequencing Reveals Transcriptome Signature of Early Liver Development in Goat Kids.

Authors:  Xiaodong Zhao; Rong Xuan; Aili Wang; Qing Li; Yilin Zhao; Shanfeng Du; Qingling Duan; Yanyan Wang; Zhibin Ji; Yanfei Guo; Jianmin Wang; Tianle Chao
Journal:  Genes (Basel)       Date:  2022-05-06       Impact factor: 4.141

2.  Effect of Natural Chinese Herbal Supplements (TCMF4) on Lactation Performance and Serum Biomarkers in Peripartal Dairy Cows.

Authors:  Yizhe Cui; Zhuorui Shan; Lintong Hou; Qiuju Wang; Juan J Loor; Chuang Xu
Journal:  Front Vet Sci       Date:  2022-01-10

3.  Genomic Patterns of Homozygosity in Chinese Local Cattle.

Authors:  Lingyang Xu; Guoyao Zhao; Liu Yang; Bo Zhu; Yan Chen; Lupei Zhang; Xue Gao; Huijiang Gao; George E Liu; Junya Li
Journal:  Sci Rep       Date:  2019-11-18       Impact factor: 4.379

4.  Selection signatures in two oldest Russian native cattle breeds revealed using high-density single nucleotide polymorphism analysis.

Authors:  Natalia Anatolievna Zinovieva; Arsen Vladimirovich Dotsev; Alexander Alexandrovich Sermyagin; Tatiana Evgenievna Deniskova; Alexandra Sergeevna Abdelmanova; Veronika Ruslanovna Kharzinova; Johann Sölkner; Henry Reyer; Klaus Wimmers; Gottfried Brem
Journal:  PLoS One       Date:  2020-11-16       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.