Microbial transcriptome and metatranscriptome information is important for predicting resistance to specific antibiotics, understanding host-pathogen immune interactions, quantifying gene expression changes, and tracking disease progression. Next-generation RNA-Seq (RNA sequencing) of bacteria, viruses, and other microbes has become a standard method for analyzing transcriptome and metatranscriptome information.
Cellular RNA is extracted and converted to cDNA, which is used to prepare sequencing libraries. Sequence reads are then mapped back to the reference genome, providing qualitative information on features such as exon junctions and splicing sites, as well as quantitative transcript data that can be compared across many experimental sets.
Unlike hybridization-based methods such as microarrays, RNA-Seq enables unbiased strand-specific identification of common and novel transcripts. A wide dynamic range enables confident identification of both high and low expressors in a single bacterial, viral, or other microbial RNA-Seq experiment. Multiple samples can be processed at once with a streamlined workflow suitable for automation.
