In a groundbreaking study illuminating the intricate genetic interplay underlying ageing and mortality, researchers have unveiled dynamic sex-specific trade-offs between body mass and lifespan in mice. This investigation, recently published in Nature, dissects the genetic loci that govern how somatic traits influence survival, revealing an elaborate genetic architecture that modulates ageing processes differently in males and females over their lifespan.
The team meticulously tracked body mass in both male and female mice at multiple critical time points—42, 183, 365, 548, and 730 days—mapping correlations to their subsequent lifespans. They discovered that body mass measured during the early to mid-life stages inversely associates with longevity, but this relationship exhibits a pronounced sexual dimorphism. Males showed a considerably stronger negative correlation (rank order Spearman’s rho of –0.28) between early-life body mass and lifespan compared to females (rho of –0.11) at around 185 days of age, a period coinciding with peak reproductive performance.
Quantitatively, this implies that for each additional gram gained, male mice lost approximately 14.3 days of life, a stark contrast to females, who lost only about 3.7 days per gram. This striking sex difference in correlation magnitude remained significant through later time stages (up to around 800 days), indicating a persistent genetic and physiological basis for the trade-off. However, intriguingly, in older mice nearing the end of their typical lifespan (approximately 730 days), the nature of the correlation shifted, eventually turning positive in both sexes, hinting at complex age-dependent biological mechanisms.
Delving deeper into the genetic underpinnings of these observations, the researchers mapped 28 distinct loci associated with body mass (referred to as Mass loci) at different ages. These loci were mostly independent from another set identified as Soma loci, which appear pivotal in mediating the trade-offs between somatic growth (body mass) and survival. This independence suggests a multifaceted genetic network where body mass and life expectancy are modulated through partially separate pathways.
Utilizing advanced correlated trait mapping methods, the study identified 30 Soma loci that dynamically influence how body mass correlates with mortality risk. Fascinatingly, a majority of these loci (15) expressed effects exclusively in males, while only four were detected solely in females, reinforcing the sexual divergence in genetic ageing mechanisms. Additionally, 19 of these loci intensified the negative correlation between body mass and survival during early adulthood, while 11 others modulated positive correlations emerging in the post-reproductive life phase.
The magnitude of these Soma loci effects is biologically significant, with the influence on life expectancy ranging from 2 to 29 days lost or gained per gram of body mass, depending on genotype and sex. For instance, the Soma3b locus exhibited profound effects in males, with the CD genotype inducing a loss of 17.9 days per gram increase in body mass, whereas the CH genotype tempered this loss to just 8.4 days. Contrastingly, Soma3b had negligible effects in females, underscoring sex-specific genetic regulation.
Conversely, the Soma11a locus displayed the strongest impact on females, although its effect size was modest relative to male-specific loci. These findings highlight a genetic mosaic wherein some loci predominantly influence lifespan via somatic traits in one sex, while others exert subtler effects or are more prominent in females.
Further genomic analysis revealed only a chance-level overlap between Soma loci and genomic regions tied to overall lifespan (Vita loci) or body mass (Mass loci). The Soma loci collectively cover nearly half of the genome (48%), while Vita loci occupy roughly a third (36%), emphasizing the widespread genomic distribution of these trade-off regulators. Notably, seven Soma loci were within close proximity (under 10 megabases) to Vita loci, suggesting potential hotspots influencing both somatic traits and longevity.
Of particular interest are the interactions between specific haplotypes denoted as H and D, which pleiotropically affect lifespan and body mass trade-offs at shared loci such as Soma1a and Vita1a. The H haplotype extends life expectancy by about 12 days, whereas the D haplotype shortens it by around 22 days. Paradoxically, while H lengthens lifespan, it also enhances the negative impact of increased mass on longevity, especially in females, thereby decreasing life expectancy by approximately 4 days per gram gained. In contrast, D appears to mitigate this trade-off by elevating the expectancy by roughly 1 day per gram, illustrating complex antagonistic pleiotropic effects within the genome.
These intricate genetic dynamics uncovered by the study reshape our understanding of ageing biology, revealing that the costs and benefits of body mass are not fixed but evolve dynamically with age and differ profoundly between sexes. The underlying somatic trade-offs encoded by Soma loci hold the key to why higher body mass predicts poorer survival early on but can paradoxically relate to improved survival in old age.
This research advances the paradigm of genetic ageing from a static to a dynamic view, emphasizing the temporally shifting landscape of genetic influences on mortality. It underscores the necessity of sex-specific analyses when deciphering ageing mechanisms, as males and females deploy distinct genetic strategies to balance growth, reproduction, and survival.
Moreover, the delineation of these loci offers promising targets for interventions aiming to modulate ageing trajectories. By disentangling how body mass trade-offs with mortality risk genetic architectures differ between sexes and across life stages, this work lays a foundation for personalized medicine approaches in age-related health management.
Importantly, the discoveries also illuminate why traditional studies that ignore sex and age-dependent genetic effects might miss crucial drivers of longevity. The nuanced understanding revealed here demonstrates the power of integrating longitudinal phenotyping with fine-scale genomic mapping.
As the global population ages, insights into the genetic control of ageing and mortality hold immense translational potential. The findings presented in this landmark study provide a genetic roadmap for decoding complex trade-offs that dictate lifespan, encouraging future explorations into how these mechanisms operate in humans and their possible exploitation to extend healthspan.
In summary, the elucidation of dynamic and sex-specific genetic trade-offs between somatic growth and mortality risk unravels a critical aspect of biological ageing. This comprehensive genomic landscape sets the stage for revolutionizing our approach to ageing research, paving the way for therapies tailored to individual genomic and physiological profiles.
Subject of Research:
Genetic and somatic trade-offs influencing ageing and mortality in mice, focusing on sex-specific and age-dependent correlations between body mass and lifespan.
Article Title:
Dynamics of genetic and somatic trade-offs in ageing and mortality.
Article References:
Arends, D., Ashbrook, D.G., Roy, S. et al. Dynamics of genetic and somatic trade-offs in ageing and mortality. Nature (2026). https://doi.org/10.1038/s41586-026-10407-9
Image Credits:
AI Generated
DOI:
https://doi.org/10.1038/s41586-026-10407-9
Keywords:
Ageing, longevity, genetic trade-offs, somatic loci, body mass, mortality risk, sex differences, lifespan genetics, pleiotropy, genomic mapping, mouse model, lifespan regulation.
