| Literature DB >> 23334532 |
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.Keywords: gene expression; mitochondrial genome; next-generation sequencing; plastid genome; transcriptomics
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Year: 2013 PMID: 23334532 DOI: 10.1093/bfgp/els066
Source DB: PubMed Journal: Brief Funct Genomics ISSN: 2041-2649 Impact factor: 4.241