bioRxivPlant Biology
Organellar transcripts dominate the cellular mRNA pool across plants of varying ploidy levels
E. S. Forsythe, C. E. Grover, E. R. Miller, J. L. Conover, M. A. Arick, M. C. F. Chavarro, S. C. M. Leal-Bertioli, D. G. Peterson, J. Sharbrough, J. F. Wendel, D. B. Sloan
Abstract
Mitochondrial and plastid functions depend on coordinated expression of proteins encoded by genomic compartments that have radical differences in copy number of organellar and nuclear genomes. In polyploids, doubling of the nuclear genome may add challenges to maintaining balanced expression of proteins involved in cytonuclear interactions. Here, we use ribo-depleted RNA-seq to analyze transcript abundance for nuclear and organellar genomes in leaf tissue from four different polyploid angiosperms and their close diploid relatives. We find that, even though plastid genomes contain <1% of the number of genes in the nuclear genome, they generate the majority (69.9-82.3%) of mRNA transcripts in the cell. Mitochondrial genes are responsible for a much smaller percentage (1.3-3.7%) of the leaf mRNA pool but still produce much higher transcript abundances per gene compared to nuclear genome. Nuclear genes encoding proteins that functionally interact with mitochondrial or plastid gene products exhibit mRNA expression levels that are consistently more than ten-fold lower than their organellar counterparts, indicating an extreme cytonuclear imbalance at the RNA level despite the predominance of equimolar interactions at the protein level. Nevertheless, interacting nuclear and organellar genes show strongly correlated transcript abundances across functional categories, suggesting that the observed mRNA stoichiometric imbalance does not preclude coordination of cytonuclear expression. Finally, we show that nuclear genome doubling does not alter the cytonuclear expression ratios observed in diploid relatives in consistent or systematic ways, indicating that successful polyploid plants are able to compensate for cytonuclear perturbations associated with nuclear genome doubling.
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: differential expression
- approach: statistical model
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