4.7 Article

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

Journal

JOURNAL OF DAIRY SCIENCE
Volume 100, Issue 11, Pages 9311-9323

Publisher

ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2016-12454

Keywords

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

Funding

  1. Swiss Commission for Technology and Innovation CTI [13948.2 PFLS-LS]
  2. Swissgenetics (Zollikofen, Switzerland)

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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.

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