DNA mutation rates in evolution, longevity, and disease: An evolutionary and biological trade-off

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Authors: DuoYao Cao, ChunBo Zeng, Ruibao Ren
Cited by: 2
References: 168

Abstract

For millions of years, life has adapted to shifting environments, with mutation as the engine of this change. The same mutations that fuel evolution also drive genetic diseases, cancer and age-related decline. Comparative analyses now show that somatic mutation rates scale inversely with lifespan across mammals, indicating that long-lived species actively depress annual mutational input to keep lifetime burdens within bounds. Natural experiments in long-lived, cancer-resistant mammals such as naked mole-rats, elephants and bowhead whales reveal reinforced genome-maintenance circuits that enhance repair fidelity and constrain mutation accumulation, supporting a fidelity-based view of life-history design in which organisms balance evolvability with somatic integrity under speed–accuracy, energetic and developmental constraints. This review integrates comparative genomics, molecular mechanisms and evolutionary theory to explain how mutation rates are set, why they differ across species and tissues, and how they shape longevity and cancer risk. We discuss implications for tissue-specific aging trajectories, viral and microbial parallels, and translational strategies, from biomarkers that track in vivo mutation accrual to context-specific, pro-fidelity interventions, and outline testable predictions for the next decade.

Fields of Study & Subjects

Cancer Genomics and Diagnostics Evolution and Genetic Dynamics Genetics Aging and Longevity in Model Organisms

Publication details

Journal / source
Cell investigation.
Publisher
Elsevier BV
Volume
2
Issue
1
Pages
100061–100061
Publication date
29 January 2026
Language
EN