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Founders predict trait evolution and population performance after evolutionary rescue in the red flour beetle

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60077344%3A_____%2F25%3A00639415" target="_blank" >RIV/60077344:_____/25:00639415 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.pnas.org/doi/epdf/10.1073/pnas.2506244122" target="_blank" >https://www.pnas.org/doi/epdf/10.1073/pnas.2506244122</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1073/pnas.2506244122" target="_blank" >10.1073/pnas.2506244122</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Founders predict trait evolution and population performance after evolutionary rescue in the red flour beetle

  • Original language description

    Evolutionary rescue helps populations survive environmental change, but the phenotypic and demographic factors associated with rescue dynamics and its long-term effects remain unclear. We experimentally evolved 10 wild-collected populations of flour beetles from across India in a suboptimal corn resource for 70 generations (>5 y), collecting >10,000 population census points book-ended by measurements of fitness-related traits for 30 experimental lines. Despite clear ancestral trait differences, all lines showed highly parallel evolutionary rescue within 20 generations. Long-term average population size varied across source populations and was positively correlated with ancestral development rate, which increased convergently across populations and emerged as the single best predictor of population performance during and after evolutionary rescue. Notably, specific demographic events during rescue (such as the rate of population decline and recovery) were uncorrelated both with ancestral trait distributions and post-rescue adaptation. Our results support prior work showing founder traits as key predictors of adaptation, and highlight their role in long-term adaptation and trait evolution following evolutionary rescue. Significance Understanding how populations adapt to sudden environmental change is vital given accelerating biodiversity declines, the rise of antimicrobial resistance and climate change. We chart evolutionary rescue-where rapid adaptation prevents extinction-in flour beetles across 70 generations. Using >10,000 census points and measuring fitness in ancestors, their offspring, and in evolved lines, we show that larval development rate is the strongest correlate of long-term population success across diverse wild-collected populations. The effect of ancestral variation is dynamic and disassociated from finer-grained details of the rescue. All populations show highly parallel evolutionary rescue, with convergent evolution in key traits. These findings have direct implications for predicting species' survival after environmental change, ranging from conservation to pest and pathogen management.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Proceedings of the National Academy of Sciences of the United States of America

  • ISSN

    0027-8424

  • e-ISSN

    1091-6490

  • Volume of the periodical

    122

  • Issue of the periodical within the volume

    36

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

    e2506244122

  • UT code for WoS article

    001572302200001

  • EID of the result in the Scopus database

    2-s2.0-105015527789