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April 18, 2026Communications Biology0 citationsOpen Access

Heritable variation drives rapid evolution of thermal performance curves in the protist Tetrahymena thermophila

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MLMegan H. LiuZHZe-Yi HanYYYaning Yuan

Key Points

  • This research aims to explore how heritable genetic variation influences thermal performance curves in Tetrahymena thermophila and its implications for climate adaptation.
  • Examined genetic variation in intrinsic growth rates of Tetrahymena thermophila
  • Analyzed thermal performance curves to understand temperature effects on growth
  • Investigated gene-by-environment variation and its impact on TPC evolution.
  • Identified substantial heritable genetic variation in intrinsic population growth rates
  • Demonstrated a causal link between growth rate variation and TPC shape
  • Found that temperature affects TPC evolution, indicating reduced future evolutionary potential.

Abstract

Microbial respiration is a key biotic driver of climate change. Warming boosts microbial population growth, which increases biomass and respiration, potentially leading to more warming. This feedback might be disrupted by adaptation in thermal performance curves (TPCs) -whose shape describes how temperature drives growth. In this study, we uncover substantial genetic variation (G) in the intrinsic population growth rates (r) of the protist Tetrahymena thermophila, demonstrate a causal link between heritable variation in r and heritable variation in TPC shape, and show how this variation constrains predicted r-TPC shape evolution along specific evolutionary paths across temperatures. We also uncover Gene-by-Environment (G × E) variation in r, which results in specific signatures in TPC shape and predictable temperature-dependent TPC evolution that can erode heritable variation, thus reducing future evolutionary potential. Overall, we show how temperature-dependent evolution in microbial TPC shape-a linchpin of global ecosystem function-is determined by a combination of heritable and non-heritable variation in intrinsic growth rates.

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Cite This Study

Liu et al. (2026) studied this question.

synapsesocial.com/papers/69e31f7340886becb653ea6fhttps://doi.org/10.1038/s42003-026-09980-6
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