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Predicting Responses to Contemporary Environmental Change Using Evolutionary Response Architectures.

Rachael A Bay, Noah Rose, Rowan Barrett

    The American Naturalist
    |April 15, 2017
    PubMed
    Summary
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    Genomic data from high-throughput sequencing can reveal how populations adapt to rapid environmental change. Integrating this with other factors is key to predicting species survival and ecosystem health.

    Area of Science:

    • Ecology and evolutionary biology
    • Genomics
    • Conservation science

    Background:

    • Rapid environmental change threatens global biodiversity and ecosystem stability.
    • Understanding population-level responses is crucial for conservation and mitigation.
    • Genomic tools offer new insights into molecular mechanisms of adaptation.

    Purpose of the Study:

    • To review theoretical and empirical studies on adaptation to rapid environmental change.
    • To highlight the potential of genomic data in predicting adaptation in natural populations.
    • To advocate for integrated models of evolutionary response.

    Main Methods:

    • Review of existing theoretical and empirical literature.
    • Focus on high-throughput sequencing for detecting environmental selection.
    Keywords:
    adaptationenvironmental changeevolutionary predictionplasticitypopulation genomics

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  • Emphasis on integrating genomic data with fitness, plasticity, and spatial information.

    • Main Results:

    • Genomic data provide a powerful tool for studying adaptation.
    • Genomic data are underutilized in predictive frameworks for natural populations.
    • Evolutionary response architectures, integrating multiple factors, are essential for accurate predictions.

    Conclusions:

    • Genomic data are poised to significantly improve our ability to estimate species persistence.
    • Modeling evolutionary response architectures is critical for predicting ecosystem responses to environmental change.
    • Integrating genetic architecture with spatial information, fitness, and plasticity is essential for future adaptation studies.