Ancient alleles drive contemporary climate adaptation in an alpine plant

• 成果类型: Article
• 署名作者: Fior, Simone; Luqman, Hirzi; Scharmann, Mathias; Palsson, Aksel; de Jonge, Jennifer; Zoller, Stefan; Zemp, Niklaus; Gargano, Domenico; Wegmann, Daniel; Widmer, Alex
• 署名单位: Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Cambridge; University of Bayreuth; Swedish University of Agricultural Sciences; Swedish University of Agricultural Sciences; Swiss Federal Institutes of Technology Domain; ETH Zurich; University of Calabria; University of Fribourg; Swiss Institute of Bioinformatics
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-8075; 1095-9203
• DOI: 10.1126/science.adp5717
• 发表日期: 2025-10-02
• 页码: 59-64
• 关键词: bayesian computation; adaptive evolution; gene family; tool set; selection; genomics; introgression; Visualization; population; package

摘要

Adaptive evolution is key for species to persist in a warming climate. However, how adaptive genetic variants arise and shape both past and future evolutionary trajectories remains largely unknown. In this work, we integrate genomics with functional and ecological assays to unravel the evolutionary history and adaptive potential of alleles governing adaptation to climate through flowering time in an Alpine carnation. We reveal that warm and cold alleles of the flowering inhibitor CENTRORADIALIS (DsCEN/2) originated through recombination of highly divergent haplotypes during the carnation radiation, implicating ancestral variation in seeding climate-adaptive alleles. These alleles survived in glacial refugia before mediating the species' range expansion in response to postglacial warming. We predict that, by recapitulating past evolution, warm alleles will continue to facilitate adaptation under future climate change.