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March 3, 2026Cell investigation.2 citationsOpen Access

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

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DCDan CaoCZChunBo ZengRRRuibao Ren

Key Points

  • Long-lived species show lower somatic mutation rates, indicating a strategy to control mutational input.
  • Naked mole-rats and elephants reveal enhanced genome maintenance mechanisms that improve repair fidelity.
  • Analysis includes comparative genomics and molecular mechanisms to understand variation in mutation rates.
  • Findings support the idea that organisms balance the need for evolution against somatic integrity.

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.

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Cite This Study

Cao et al. (2026) studied this question.

synapsesocial.com/papers/69a75d64c6e9836116a2766dhttps://doi.org/10.1016/j.clnves.2026.100061
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