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March 28, 2026Science5 citations

Rapid adaptation and extinction in synchronized outdoor evolution experiments of Arabidopsis

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XWXi WuTBTatiana BellagioYPYunru Peng

Key Points

  • This research aims to observe how Arabidopsis thaliana adapts to climate change and the factors leading to extinction.
  • Conducted synchronized evolution experiments in 30 locations across different climates.
  • Employed whole-genome pooled sequencing on approximately 70,000 surviving plants.
  • Analyzed allele frequency shifts to identify genetic variants linked to climate adaptation.
  • Measured population survival over 5 years and correlated it with evolutionary predictability.
  • Identified repeatable allele frequency shifts in similar climates and variable shifts in contrasting climates.
  • Linked genetic variants to processes like thermal-stress sensing and spring-flowering timing.
  • Found that evolutionary predictability in warmer climates correlated with better population survival.
  • Observed erratic evolutionary changes preceding extinction events.

Abstract

Climate change forces species to adapt rapidly to avoid extinction. To directly observe rapid adaptation and extinction, we conducted synchronized evolution experiments with Arabidopsis thaliana in 30 locations across Western Europe, the Mediterranean, the Levant, and North America. Whole-genome pooled sequencing of ~70,000 surviving plants revealed repeatable allele frequency shifts in similar climates but divergent shifts across contrasting ones, indicating evolutionary adaptation. We identified genetic variants linked to climate adaptation, including genes involved in processes ranging from thermal-stress sensing to spring-flowering timing. Evolutionary trends were often predictable, but variable, across environments. In warmer climates, evolutionary predictability correlated with population survival over 5 years, whereas erratic changes preceded extinction. These results show that rapid climate adaptation is possible, but understanding its limits will be crucial for biodiversity forecasting.

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Cite This Study

Wu et al. (2026) studied this question.

synapsesocial.com/papers/69c771988bbfbc51511e19cehttps://doi.org/10.1126/science.adz0777
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