Linking ecological niche models and common garden experiments to predict phenotypic differentiation in stressful environments: Assessing the adaptive value of marginal populations in an alpine plant
Environmental variation within a species’ range can create contrasting selective pressures, leading to divergent selection and novel adaptations. The conservation value of populations inhabiting environmentally marginal areas remains in debate and is closely related to the adaptive potential in chan...
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Published in | Global change biology Vol. 28; no. 13; pp. 4143 - 4162 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Blackwell Publishing Ltd
01.07.2022
Wiley John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Environmental variation within a species’ range can create contrasting selective pressures, leading to divergent selection and novel adaptations. The conservation value of populations inhabiting environmentally marginal areas remains in debate and is closely related to the adaptive potential in changing environments. Strong selection caused by stressful conditions may generate novel adaptations, conferring these populations distinct evolutionary potential and high conservation value under climate change. On the other hand, environmentally marginal populations may be genetically depauperate, with little potential for new adaptations to emerge. Here, we explored the use of ecological niche models (ENMs) linked with common garden experiments to predict and test for genetically determined phenotypic differentiation related to contrasting environmental conditions. To do so, we built an ENM for the alpine plant Silene ciliata in central Spain and conducted common garden experiments, assessing flowering phenology changes and differences in leaf cell resistance to extreme temperatures. The suitability patterns and response curves of the ENM led to the predictions that: (1) the environmentally marginal populations experiencing less snowpack and higher minimum temperatures would have delayed flowering to avoid risks of late‐spring frosts and (2) those with higher minimum temperatures and greater potential evapotranspiration would show enhanced cell resistance to high temperatures to deal with physiological stress related to desiccation and heat. The common garden experiments revealed the expected genetically based phenotypic differentiation in flowering phenology. In contrast, they did not show the expected differentiation for cell resistance, but these latter experiments had high variance and hence lower statistical power. The results highlight ENMs as useful tools to identify contrasting putative selective pressures across species ranges. Linking ENMs with common garden experiments provides a theoretically justified and practical way to study adaptive processes, including insights regarding the conservation value of populations inhabiting environmentally marginal areas under ongoing climate change.
Environmental variation within a species’ range can create contrasting selective pressures, leading to divergent selection and novel adaptations. Here, we explored the use of ecological niche models (ENMs) linked with common garden experiments to predict and test for genetically determined phenotypic differentiation related to contrasting environmental conditions. The results highlight ENMs as useful tools to identify contrasting putative selective pressures across species ranges. ENMs in conjunction with laboratory and field experiments provide a theoretically justified and practical way to study adaptive processes, including the evolutionary capabilities of species confronted with climate change. |
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Bibliography: | Funding information This work was funded by the projects AdAptA (CGL2012‐33528) and EVA (CGL2016‐77377‐R) of the Spanish Ministry of Science and Innovation. JML was supported by a predoctoral fellowship (BES‐2013‐064951) and by a short research stay fellowship at the City College of New York (EEBB‐I‐16‐11347) from the Spanish Ministry of Science and Innovation. JML was also supported by the REMEDINAL TE‐CM project postdoctoral fellowship (S2018/EMT‐4338). CLR was supported by a Juan de la Cierva post‐doctoral fellowship (MINECO: FJCI‐2015‐24712). JMK received support from the City College of New York, the Graduate Center of the City University of New York, a Japan Society for the Promotion of Science Postdoctoral Fellowship for Foreign Researchers, and the Okinawa Institute of Science and Technology Graduate University. The Consejo Superior de Investigaciones Científicas covered open access charges of the publication. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Equal contribution of senior authors. |
ISSN: | 1354-1013 1365-2486 1365-2486 |
DOI: | 10.1111/gcb.16181 |