CellPlant BiologyPeer-reviewed journal article
Rapid evolution of gene expression patterns in flowering plants
Christoph SchusteriD, Alexander GabeliD, Hajk‐Georg DrostiD, Ivo GroßeiD, Ottoline LeyseriD, Elliot M. MeyerowitziD
Abstract
Phenotypic differences between species are largely driven by changes in both protein-coding sequence and gene expression 1. The evolutionary history of angiosperms (flowering plants) is characterised by a highly accelerated rate of diversification, which Darwin referred to as an "abominable mystery" 2. Here we show, by analysing the transcriptomes from eight organs across seven species, that angiosperm protein-coding gene expression patterns evolve rapidly: within 45 million years, expression levels of orthologous genes diverged so strongly that they are more similar between different organs within a species than between what are considered homologous organs from different species. This finding differs from previous observations in mammals, which demonstrated that organ-dependent gene expression levels are largely conserved 3, 4, 5. Among the angiosperm organs, meristems and leaves show the highest degree of expression conservation, whereas stamen and pollen transcriptomes diverge rapidly. Examining changes in the expression level of functionally related genes, we found low rates for those involved in key cellular, metabolic and developmental processes. In contrast, particularly high rates were observed for genes that are involved in the response to endogenous and external stimuli, presumably reflecting an adaptive response of flowering plants to ever-changing environments. Our work reveals that the evolution of gene expression progresses at different rates in angiosperms and mammals, and provides a comprehensive resource to perform cross-kingdom comparative studies of transcriptome evolution.
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: phylogenetics / evolution
- approach: statistical model
- Citations
- 17
- FWCI
- 32.64
- Field percentile
- top 1%
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