Re-analysis of mobile mRNA datasets raises questions about the extent of long-distance mRNA communication
Pirita Paajanen, Melissa Tomkins, Franziska Hoerbst, Ruth Veevers, Michelle Heeney, Hannah Rae Thomas, Federico Apelt, Eleftheria Saplaoura, Saurabh Gupta, Margaret H. Frank, Dirk Walther, Christine Faulkner, Julia Kehr, Friedrich Kragler, Richard J. Morris
Abstract
Abstract Short-read RNA-seq studies of grafted plants have led to the proposal that thousands of messenger RNAs (mRNAs) move over long distances between plant tissues 1–7 , potentially acting as signals 8–12 . Transport of mRNAs between cells and tissues has been shown to play a role in several physiological and developmental processes in plants, such as tuberization 13 , leaf development 14 and meristem maintenance 15 ; yet for most mobile mRNAs, the biological relevance of transport remains to be determined 16–19 . Here we perform a meta-analysis of existing mobile mRNA datasets and examine the associated bioinformatic pipelines. Taking technological noise, biological variation, potential contamination and incomplete genome assemblies into account, we find that a high percentage of currently annotated graft-mobile transcripts are left without statistical support from available RNA-seq data. This meta-analysis challenges the findings of previous studies and current views on mRNA communication.