Passalacqua Karla D, Varadarajan Anjana, Ondov Brian D, Okou David T, Zwick Michael E, Bergman Nicholas H
School of Biology, Georgia Institute of Technology, 310 Ferst Dr., Atlanta, GA 30332-0230, USA.
J Bacteriol. 2009 May;191(10):3203-11. doi: 10.1128/JB.00122-09. Epub 2009 Mar 20.
Although gene expression has been studied in bacteria for decades, many aspects of the bacterial transcriptome remain poorly understood. Transcript structure, operon linkages, and information on absolute abundance all provide valuable insights into gene function and regulation, but none has ever been determined on a genome-wide scale for any bacterium. Indeed, these aspects of the prokaryotic transcriptome have been explored on a large scale in only a few instances, and consequently little is known about the absolute composition of the mRNA population within a bacterial cell. Here we report the use of a high-throughput sequencing-based approach in assembling the first comprehensive, single-nucleotide resolution view of a bacterial transcriptome. We sampled the Bacillus anthracis transcriptome under a variety of growth conditions and showed that the data provide an accurate and high-resolution map of transcript start sites and operon structure throughout the genome. Further, the sequence data identified previously nonannotated regions with significant transcriptional activity and enhanced the accuracy of existing genome annotations. Finally, our data provide estimates of absolute transcript abundance and suggest that there is significant transcriptional heterogeneity within a clonal, synchronized bacterial population. Overall, our results offer an unprecedented view of gene expression and regulation in a bacterial cell.
尽管对细菌中的基因表达已研究了数十年,但细菌转录组的许多方面仍了解甚少。转录本结构、操纵子连接以及绝对丰度信息都能为基因功能和调控提供有价值的见解,但对于任何细菌,都从未在全基因组范围内确定过这些信息。实际上,仅在少数情况下对原核生物转录组的这些方面进行过大规模探索,因此对于细菌细胞内mRNA群体的绝对组成知之甚少。在此,我们报告了一种基于高通量测序的方法,用于构建细菌转录组的首个全面的单核苷酸分辨率图谱。我们在多种生长条件下对炭疽芽孢杆菌转录组进行了采样,结果表明这些数据提供了全基因组范围内转录起始位点和操纵子结构的准确且高分辨率图谱。此外,序列数据识别出了以前未注释但具有显著转录活性的区域,并提高了现有基因组注释的准确性。最后,我们的数据提供了绝对转录本丰度的估计值,并表明在克隆同步的细菌群体中存在显著的转录异质性。总体而言,我们的结果为细菌细胞中的基因表达和调控提供了前所未有的见解。