Changing environments and genetic variation: natural variation in inbreeding does not compromise short-term physiological responses

James Buckley*, Rónán Daly, Christina A. Cobbold, Karl Burgess, Barbara K. Mable

*Corresponding author for this work

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Abstract

<jats:p>Selfing plant lineages are surprisingly widespread and successful in a broad range of environments, despite showing reduced genetic diversity, which is predicted to reduce their long-term evolutionary potential. However, appropriate short-term plastic responses to new environmental conditions might not require high levels of standing genetic variation. In this study, we tested whether mating system variation among populations, and associated changes in genetic variability, affected short-term responses to environmental challenges. We compared relative fitness and metabolome profiles of naturally outbreeding (genetically diverse) and inbreeding (genetically depauperate) populations of a perennial plant,<jats:italic>Arabidopsis lyrata</jats:italic>, under constant growth chamber conditions and an outdoor common garden environment outside its native range. We found no effect of inbreeding on survival, flowering phenology or short-term physiological responses. Specifically, naturally occurring inbreeding had no significant effects on the plasticity of metabolome profiles, using either multivariate approaches or analysis of variation in individual metabolites, with inbreeding populations showing similar physiological responses to outbreeding populations over time in both growing environments. We conclude that low genetic diversity in naturally inbred populations may not always compromise fitness or short-term physiological capacity to respond to environmental change, which could help to explain the global success of selfing mating strategies.</jats:p>
Original languageEnglish
Pages (from-to)20192109-20192109
Number of pages0
JournalProceedings of the Royal Society B: Biological Sciences
Volume286
Issue number1915
DOIs
Publication statusPublished - 20 Nov 2019

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