title: Quantitative bacterial transcriptomics with RNA-seq.
abstract: RNA sequencing has emerged as the premier approach to study bacterial transcriptomes. While the earliest published studies analyzed the data qualitatively, the data are readily digitized and lend themselves to quantitative analysis. High-resolution RNA sequence (RNA-seq) data allows transcriptional features (promoters, terminators, operons, among others) to be pinpointed on any bacterial transcriptome. Once the transcriptome is mapped, the activity of transcriptional features can be quantified. Here we highlight how quantitative transcriptome analysis can reveal biological insights and briefly discuss some of the challenges to be faced by the field of bacterial transcriptomics in the near future.
authors.affiliation: Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, United States; Department of Biology, University of Central Oklahoma, Edmond, OK 73034, United States.
authors.forename: James P
authors.initials: JP
authors.lastname: Creecy
authors.affiliation: Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, United States. Electronic address: tconway@ou.edu.
authors.forename: Tyrrell
authors.initials: T
authors.lastname: Conway
mesh_terms: D001419:Bacteria / Q000235:genetics*; D020869:Gene Expression Profiling / Q000379:methods*; D015964:Gene Expression Regulation, Bacterial; D005827:Genetics, Microbial / Q000379:methods / Q000639:trends; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D008967:Molecular Biology / Q000379:methods / Q000639:trends