title: RNA-Seq data: a goldmine for organelle research.
abstract: 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, I argue that these data are an excellent and untapped resource for investigating many aspects of organelle function and evolution.
authors: Department of Botany, Canadian Institute for Advanced Research, University of British Columbia, Vancouver, British Columbia, Canada V6T 1Z4. smithdr@dal.ca.
authors: David Roy
authors: DR
authors: Smith
mesh_terms: D000818:Animals; D057225:Data Mining; D056890:Eukaryota / Q000235:genetics; D005786:Gene Expression Regulation; D006801:Humans; D015388:Organelles / Q000378:metabolism*; D012333:RNA, Messenger / Q000235:genetics / Q000378:metabolism; D017423:Sequence Analysis, RNA / Q000379:methods*
chemical_list: D012333:RNA, Messenger
keywords: gene expression; mitochondrial genome; next-generation sequencing; plastid genome; transcriptomics