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Additive Channels in Curved Fitness Landscapes

Ortiz-Barrientos, D.; Cooper, M.

2026-03-22 evolutionary biology
10.64898/2026.03.21.713332 bioRxiv
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Article summaryGene interactions are common, yet additive genetic models often predict short-term evolution and breeding response. This study argues that additivity can arise because populations sample only a small neighbourhood of a curved fitness landscape. In additive channels, genetic variation is small enough that local curvature contributes little to heritable fitness differences. The study defines an additivity index ([A]g) that compares variance from the local slope of log-fitness with variance from curvature, and links this ratio to expected prediction accuracy under Gaussian assumptions. A selection-inheritance framework shows when additive channels persist and when populations leave them. It yields testable predictions.

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