Laboratory of Bioinformatics, Institute of Microbiology, Academy of Sciences of the Czech Republic, Prague, Czech Republic.
PLoS One. 2013 Sep 9;8(9):e72842. doi: 10.1371/journal.pone.0072842. eCollection 2013.
Streptomycetes have been studied mostly as producers of secondary metabolites, while the transition from dormant spores to an exponentially growing culture has largely been ignored. Here, we focus on a comparative analysis of fluorescently and radioactively labeled proteome and microarray acquired transcriptome expressed during the germination of Streptomyces coelicolor. The time-dynamics is considered, starting from dormant spores through 5.5 hours of growth with 13 time points. Time series of the gene expressions were analyzed using correlation, principal components analysis and an analysis of coding genes utilization. Principal component analysis was used to identify principal kinetic trends in gene expression and the corresponding genes driving S. coelicolor germination. In contrast with the correlation analysis, global trends in the gene/protein expression reflected by the first principal components showed that the prominent patterns in both the protein and the mRNA domains are surprisingly well correlated. Analysis of the number of expressed genes identified functional groups activated during different time intervals of the germination.
链霉菌主要被研究为次生代谢物的生产者,而从休眠孢子到指数生长培养的转变在很大程度上被忽视了。在这里,我们专注于对荧光标记和放射性标记的蛋白质组以及在链霉菌科尔氏固氮菌萌发过程中获得的转录组表达的微阵列进行比较分析。考虑了从休眠孢子到 5.5 小时生长的时间动态,共有 13 个时间点。使用相关性、主成分分析和编码基因利用率分析对基因表达的时间序列进行了分析。主成分分析用于确定基因表达的主要动力学趋势和驱动链霉菌科尔氏固氮菌萌发的相应基因。与相关性分析相比,第一主成分反映的基因/蛋白质表达的全局趋势表明,蛋白质和 mRNA 域中的突出模式非常相关。对表达基因数量的分析确定了在萌发的不同时间间隔中激活的功能组。