GenBank is bursting with eukaryotic RNA sequencing (RNA-Seq) results. These data are transforming our view of nuclear transcriptional architecture, but many scientists are ignoring a major component of the data: mitochondrial- and chloroplast-derived sequences. Indeed, organelle transcripts typically represent a significant proportion of the reads generated from eukaryotic RNA-Seq experiments. Here, David Roy Smith argues that these data are an excellent and untapped resource for investigating many aspects of organelle function and evolution.
What do you think?
- Smith DR. (2013) RNA-Seq data: a goldmine for organelle research. Brief Funct Genomics [Epub ahead of print]. [abstract]