Local adaptation-induced evolutionary trap in alpine plants under climate change

Author:

Li Li1,Zhang Jie1,Sork Victoria2,Fitzpatrick Matthew3ORCID,Liao Hong1,Wang Gang4,Sun Yan-Bo1,Li Qingjun1,Zhao Jian-Li1ORCID

Affiliation:

1. Yunnan University

2. University of California

3. University of Maryland Center For Environmental Sciences

4. Xishuangbanna Tropical Botanical Garden,Chinese Academy of Sciences

Abstract

Abstract Evolutionary traps occur when populations deviate from local adaptation and become maladapted under rapid climate change. Alpine plants, with genetically distinct ecotypes in sky islands, are susceptible to being trapped by rapid climate change. We employed landscape genomics to test a local adaptation-induced evolutionary trap in the alpine perennial plant Roscoea tibetica (Zingiberaceae) with three distinct ecotypes along altitudinal gradients in the Hengduan Mountains. Strong local adaptation to alpine environments was observed through isolation-by-environment and rapid decreases in effective population size following interglacial niche contraction. Genomic offset increased with climate warming and was positively correlated with the intensification of local adaptation. Instead of high-elevation ecotypes, an evolutionary trap was indicated in the low-elevation forest ecotype, which showed the strongest local adaptation and niche loss, requiring the greatest shift in allele frequencies to keep pace with future climate change, and will likely experience the largest population decline. Therefore, stronger local adaptation induces evolutionary traps more easily and aggravates the harm to alpine plants facing rapid climate warming. Our study provides the first empirical case of local adaptation-induced evolutionary traps for alpine plants and highlights that it is crucial for alpine biota conservation to consider and disarm evolutionary traps under climate change.

Publisher

Research Square Platform LLC

Reference106 articles.

1. Genomic signals of selection predict climate-driven population declines in a migratory bird;Bay RA;Science,2018

2. Applying landscape genomic tools to forest management and restoration of Hawaiian koa (Acacia koa) in a changing environment;Gugger PF;Evol. Appl.,2018

3. Genomic basis and evolutionary potential for extreme drought adaptation in Arabidopsis thaliana;Exposito-Alonso M;Nat. Ecol. Evol.,2018

4. Browne, L. et al. Adaptational lag to temperature in valley oak (Quercus lobata) can be mitigated by genome-informed assisted gene flow. Proc. Natl. Acad. Sci. U. S. A. 116: 25179–25185 (2019).

5. Adaptation, migration or extirpation: climate change outcomes for tree populations;Aitken SN;Evol. Appl.,2008

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