Annals of BotanyEvolutionary BiologyPeer-reviewed journal article
Evolution of drought resistance strategies following the introduction of white clover (Trifolium repens L.)
Brandon Thomas HendricksoniD, Caitlyn Stamps, Courtney M. PattersoniD, Hunter Strickland, Michael Joshua FosteriD, Lucas J. AlbanoiD, Audrey Kim, Paul KimiD, Nicholas J. KooyersiD
Abstract
Background and AimsSuccess during colonization likely depends on growing quickly and tolerating novel and stressful environmental conditions. However, rapid growth, stress avoidance, and stress tolerance are generally considered divergent physiological strategies. MethodsWe evaluate how white clover (Trifolium repens) has evolved to a divergent water regime following introduction to North America. We conduct RNAseq within a dry-down experiment utilizing accessions from low and high latitude populations from native and introduced ranges, and assess variation in dehydration avoidance (avoidance of wilting) and dehydration tolerance (ability to survive wilting). Key ResultsIntroduced populations are better at avoiding dehydration, but poorer at tolerating dehydration than native populations. There is a strong negative correlation between avoidance and tolerance traits and expression of most drought-associated genes exhibits similar tradeoffs. Candidate genes with expression strongly associated with dehydration avoidance are linked to stress signaling, closing stomata and producing osmoprotectants. However, genes with expression linked to dehydration tolerance are associated with avoiding excessive ROS production and toxic bioproducts of stress responses. Several candidate genes show differential expression patterns between native and introduced ranges, and could underlie differences in drought resistance syndromes between ranges. ConclusionsThese results suggest there has been strong selection following introduction for dehydration avoidance at the cost of surviving dehydration.
- organism: plant (other)
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 10
- FWCI
- 4.46
- Field percentile
- top 5%
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