Bovine mammary gene expression profiling during the onset of lactation

PLoS One. 2013 Aug 21;8(8):e70393. doi: 10.1371/journal.pone.0070393. eCollection 2013.

Abstract

Background: Lactogenesis includes two stages. Stage I begins a few weeks before parturition. Stage II is initiated around the time of parturition and extends for several days afterwards.

Methodology/principal findings: To better understand the molecular events underlying these changes, genome-wide gene expression profiling was conducted using digital gene expression (DGE) on bovine mammary tissue at three time points (on approximately day 35 before parturition (-35 d), day 7 before parturition (-7 d) and day 3 after parturition (+3 d)). Approximately 6.2 million (M), 5.8 million (M) and 6.1 million (M) 21-nt cDNA tags were sequenced in the three cDNA libraries (-35 d, -7 d and +3 d), respectively. After aligning to the reference sequences, the three cDNA libraries included 8,662, 8,363 and 8,359 genes, respectively. With a fold change cutoff criteria of ≥ 2 or ≤-2 and a false discovery rate (FDR) of ≤ 0.001, a total of 812 genes were significantly differentially expressed at -7 d compared with -35 d (stage I). Gene ontology analysis showed that those significantly differentially expressed genes were mainly associated with cell cycle, lipid metabolism, immune response and biological adhesion. A total of 1,189 genes were significantly differentially expressed at +3 d compared with -7 d (stage II), and these genes were mainly associated with the immune response and cell cycle. Moreover, there were 1,672 genes significantly differentially expressed at +3 d compared with -35 d. Gene ontology analysis showed that the main differentially expressed genes were those associated with metabolic processes.

Conclusions: The results suggest that the mammary gland begins to lactate not only by a gain of function but also by a broad suppression of function to effectively push most of the cell's resources towards lactation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Cattle
  • Cluster Analysis
  • Dairying
  • Down-Regulation
  • Epithelial Cells / cytology
  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation*
  • Gene Library
  • Lactation / genetics*
  • Lactation / physiology*
  • Lipid Metabolism
  • Mammary Glands, Animal / metabolism*
  • Oligonucleotide Array Sequence Analysis
  • Parturition
  • RNA / analysis
  • Sequence Analysis, DNA
  • Time Factors

Substances

  • RNA

Grants and funding

This research was supported by the Fund of Modern Agro-industry Technology Research System of China (CARS-37), Shandong Province Science Technology Development Plan (2012NC11103), Natural Science Fund of China (31072050) and Cattle Breed Project of Shandong Province. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.