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Data from: Evolutionary responses to historic drought across the range of scarlet monkeyflower

Authors: Sheth, Seema; Albano, Lucas; Blanchard, Charles; Cook, Emily; Diaz, Rosalinda; Gomez-Vega, Xitlaly; Kutella, Katelin; +18 Authors

Data from: Evolutionary responses to historic drought across the range of scarlet monkeyflower

Abstract

Adaptive evolution is a key means for populations to persist under environmental change, yet whether populations across a species' range can adapt quickly enough to keep pace with climate change remains unknown. The breeder's equation predicts the evolutionary change in a trait from one generation to the next as the product of the selection differential and the narrow-sense heritability in that trait. Incorporating these aspects of the breeder's equation, we performed a resurrection study with the scarlet monkeyflower (Mimulus cardinalis) to evaluate whether traits associated with drought adaptation have evolved in populations across a species' range in response to extreme drought. We compared trait and fitness differences of pre-drought ancestors and post-drought descendants from six populations transplanted into three latitudinally-arrayed common gardens and quantified phenotypic selection and trait heritabilities. The strength, direction, and mode of selection varied among traits and gardens. Trait heritabilities were relatively low and did not differ dramatically among populations or gardens. Overall, instances of evolutionary responses between ancestors and descendants were few and small in magnitude, but the magnitude of these evolutionary differences varied among gardens. Together, these results suggest that the expression of genetic variation, and thus traits, depends on the environment, and that environmental variability in field settings may mask the genetic variation that is often detected in greenhouse environments.

Funding provided by: U.S. National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: 2131815 Funding provided by: United States Department of AgricultureROR ID: https://ror.org/01na82s61Award Number: 7002993 Funding provided by: U.S. National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: 2131816 Funding provided by: U.S. National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: 2131817 Funding provided by: U.S. National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: 2131818 Funding provided by: U.S. National Science FoundationROR ID: https://ror.org/021nxhr62Award Number: 2131819

Keywords

Quantitative genetics, Resurrection study, evolutionary rescue, adaptive potential, Climate change, phenotypic selection

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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