Department of Molecular Genetics, University of Groningen, Groningen Biomolecular Sciences and Biotechnology Institute, Groningen, The Netherlands.
PLoS One. 2013;8(1):e53085. doi: 10.1371/journal.pone.0053085. Epub 2013 Jan 17.
In the present study we examine the changes in the expression of genes of Lactococcus lactis subspecies cremoris MG1363 during growth in milk. To reveal which specific classes of genes (pathways, operons, regulons, COGs) are important, we performed a transcriptome time series experiment. Global analysis of gene expression over time showed that L. lactis adapted quickly to the environmental changes. Using upstream sequences of genes with correlated gene expression profiles, we uncovered a substantial number of putative DNA binding motifs that may be relevant for L. lactis fermentative growth in milk. All available novel and literature-derived data were integrated into network reconstruction building blocks, which were used to reconstruct and visualize the L. lactis gene regulatory network. This network enables easy mining in the chrono-transcriptomics data. A freely available website at http://milkts.molgenrug.nl gives full access to all transcriptome data, to the reconstructed network and to the individual network building blocks.
在本研究中,我们研究了乳脂乳球菌亚种 MG1363 在牛奶中生长过程中基因表达的变化。为了揭示哪些特定类别的基因(途径、操纵子、调控子、COGs)是重要的,我们进行了转录组时间序列实验。对基因表达随时间的全局分析表明,乳球菌能够快速适应环境变化。通过对具有相关基因表达谱的基因的上游序列进行分析,我们发现了大量可能与乳球菌在牛奶中发酵生长相关的假定 DNA 结合基序。所有可用的新型和文献衍生数据都被整合到网络重建构建块中,这些构建块用于重建和可视化乳球菌基因调控网络。该网络可方便地在时程转录组学数据中进行挖掘。一个免费的网站 http://milkts.molgenrug.nl 提供了对所有转录组数据、重建网络和单个网络构建块的完全访问。