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Interpretation issues with “genomic vulnerability” arise from conceptual issues in local adaptation and maladaptation

2024/02/08 by Katie E. Lotterhos · 1 voice · 9 citations
Environmental Science · Biochemistry, Genetics and Molecular Biology · Agricultural and Biological Sciences · #Species Distribution and Climate Change #Evolution and Genetic Dynamics #Animal Behavior and Reproduction

paper · pdf · doi:10.1093/evlett/qrae004

Abstract

(GOs) have become a popular tool to predict population responses to climate change from landscape genomic data. Populations with a high GO have been interpreted to have a high "genomic vulnerability" to climate change. GOs are often implicitly interpreted as a fitness offset, or a change in fitness of an individual or population in a new environment compared to a reference. However, there are several different types of fitness offset that can be calculated, and the appropriate choice depends on the management goals. This study uses hypothetical and empirical data to explore situations in which different types of fitness offsets may or may not be correlated with each other or with a GO. The examples reveal that even when GOs predict fitness offsets in a common garden experiment, this does not necessarily validate their ability to predict fitness offsets to environmental change. Conceptual examples are also used to show how a large GO can arise under a positive fitness offset, and thus cannot be interpreted as a population vulnerability. These issues can be resolved with robust validation experiments that can evaluate which fitness offsets are correlated with GOs.

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