Longevity is one of the most striking repeating patterns in mammalian evolution. Naked mole-rats can survive for more than three decades, bats routinely outlive similarly sized rodents by a factor of five, and bowhead whales sail past two hundred years. Because maximum lifespan generally scales with body mass, these cases are doubly puzzling: some of the longest-lived mammals are among the smallest, while others sit at the very top of the size range. A new comparative genomic study published in BMC Genomics by Olatunde Omotoso and Lotanna Micah Nneji set out to answer a deceptively simple question: when evolution extends lifespan again and again in different lineages, does it use the same molecular tools each time? The answer, according to their integrated analysis of genome sequences and gene expression data, is a firm no — the phenotype of extreme longevity is convergent, but the underlying evolutionary strategies are fundamentally divergent.
The researchers divided long-lived mammals into two functional categories. The first group, termed Extremely Long-Lived Small Mammals, or ELLSM, includes species such as bats and mole-rats whose lifespans dramatically exceed what their body sizes would predict. The second group, Body-Mass-Associated Long-Lived Mammals, or BMAL, comprises giants like whales and elephants, whose exceptional lifespans are anchored in their large body mass. To test whether these two groups achieve longevity through shared molecular pathways, the team performed a comparative genomic and transcriptomic analysis, screening protein-coding genes for signatures of natural selection and comparing gene expression profiles across lineages. Their framework drew on established phylogenetic methods, including hypothesis-testing phylogenetics tools to detect selection and gene ontology and pathway databases to interpret functional enrichment.
The genomic results revealed a sharp asymmetry between the two groups. In the small, extremely long-lived mammals, the authors detected intensified natural selection across a broad set of genes — a signal of adaptive change in which mutations that improve protein function spread rapidly through the lineage. This pattern is consistent with what evolutionary biologists would predict for small animals: a high metabolic rate generates cellular damage quickly, so small long-lived species require enhanced cellular maintenance machinery that must continually be refined by selection. In other words, the tiny mammals appear to have earned their long lives the hard way, through aggressive evolutionary optimization of the systems that keep cells running.
The large, mass-associated long-lived mammals told a very different story. Genome-wide, the BMAL lineages showed a pattern of relaxed selection, suggesting that many genes in these species evolved under weaker purifying pressure than in their shorter-lived relatives. Yet within this broadly relaxed landscape, the researchers found strong sequence-level constraint — meaning critical amino acid positions were preserved unchanged — in pathways controlling the cell cycle and DNA repair. This combination of genome-wide relaxation with targeted constraint implies that in large-bodied mammals, evolution did not need to reinvent cellular maintenance everywhere. Instead, it tightened its grip specifically on the machinery that governs when cells divide, which is precisely the machinery that determines cancer risk in a body containing trillions of cells.
Transcriptomic profiles reinforced the genomic divergence. In the BMAL group, gene expression signatures emphasized cell cycle regulation and growth, painting a picture of longevity built on stringent control of cell proliferation. By keeping cell division under tight surveillance, large mammals suppress the uncontrolled replication that leads to tumors — a crucial defense for animals whose sheer size and long lifespans otherwise present enormous cumulative opportunities for cancerous transformation. This resonates with earlier observations that large-bodied species like elephants have evolved enhanced tumor-suppressor architectures, and it suggests that growth control is a central pillar of mass-associated longevity.
The ELLSM group showed the opposite emphasis. Their transcriptomic signatures were overwhelmingly enriched for the upregulation of DNA repair and autophagy, the cellular recycling process that clears damaged proteins and organelles. Rather than focusing on policing cell division, the small long-lived mammals appear to invest in preserving the long-term function of their existing cells: fixing breaks in DNA as they occur and continuously removing molecular garbage before it accumulates. The intensified PI3K–Akt–mTOR signaling axis also emerged in these species, a pathway well known to aging researchers because it integrates nutrient sensing, growth, and maintenance and whose modulation can extend lifespan in experimental systems.
Perhaps the most surprising finding was the scarcity of overlap between the two groups. Despite sharing the phenotype of extended lifespan, the specific genes and pathways under selection in ELLSM and BMAL lineages barely intersected. The study also associated accelerated carbohydrate metabolism with both evolutionary strategies, while noting that glycosylation — the chemical decoration of proteins with sugar chains — showed intensification in the large long-lived mammals. These distinct molecular fingerprints suggest that extreme longevity is not a single biological program that evolution copies from lineage to lineage. Instead, it is an outcome that can be reached through at least two independent routes: prevention-centric maintenance and repair in small mammals, and proliferation control in large ones.
The conceptual implication is significant for aging research, which has long sought universal hallmarks of aging and, by extension, universal levers for slowing it. If convergent longevity can be achieved through divergent mechanisms, then the search for anti-aging interventions may need to be tailored to biological context rather than aimed at a single master pathway. A drug that enhances autophagy might emulate the strategy of a long-lived bat, while one that strengthens cell cycle checkpoints might echo the strategy of a whale. The study’s use of a longevity quotient — lifespan relative to body size expectations — to classify lineages also demonstrates how comparative genomics can separate the effects of body mass from the effects of true lifespan extension, a persistent confound in the field.
The work has its limitations, as the authors’ reliance on publicly available genomic and transcriptomic datasets means the analysis is correlational rather than experimental, and pathway-level conclusions ultimately rest on annotations that vary in quality across species. Selection tests can be influenced by demographic history and annotation errors, and expression comparisons across distantly related mammals require careful normalization. Still, the concordance between the genomic signals — intensified selection in small mammals, relaxed selection with targeted constraint in large mammals — and the transcriptomic signatures lends weight to the central claim. The consistency of two independent data layers pointing to the same divergent strategies makes the conclusion more robust than either layer alone.
What emerges is a satisfying evolutionary logic. Small mammals, burning metabolic fuel at a ferocious rate, face constant assault on their DNA and proteins, so their path to longevity runs through perpetual repair and renewal. Large mammals, protected by sheer size from many predators and by low metabolic intensity from some forms of damage, face a different enemy: cancer, whose risk rises with cell number and lifespan, so their path runs through strict control of cell proliferation. Two very different problems, two very different genomic solutions, one shared outcome — a long life. The finding reframes longevity not as a single molecular trick that nature has discovered once and reused, but as an evolutionary destination reachable by multiple roads, with the route determined largely by the size of the traveler.
Subject of Research: Comparative genomics of longevity mechanisms in small and large mammals
Article Title: Convergent evolution of longevity reveals divergent genomic mechanisms in small and large mammals
Article References: Omotoso, O., & Nneji, L. M. (2026). Convergent evolution of longevity reveals divergent genomic mechanisms in small and large mammals. BMC Genomics. https://doi.org/10.1186/s12864-026-13430-2
Image Credits: AI Generated
DOI: 10.1186/s12864-026-13430-2
Keywords: longevity, comparative genomics, convergent evolution, natural selection, DNA repair, autophagy, cell cycle, mTOR pathway, bats, whales, body size, transcriptomics
Cite Scienmag News
Juliet Wilcox. (October 12, 2026). Bats and Whales Age Differently: Genomes Reveal Two Separate Roads to Long Life. Scienmag. https://scienmag.com/bats-and-whales-age-differently-genomes-reveal-two-separate-roads-to-long-life/
Juliet Wilcox. "Bats and Whales Age Differently: Genomes Reveal Two Separate Roads to Long Life." Scienmag, 12 October 2026, https://scienmag.com/bats-and-whales-age-differently-genomes-reveal-two-separate-roads-to-long-life/. Accessed 12 October 2026.
Juliet Wilcox. "Bats and Whales Age Differently: Genomes Reveal Two Separate Roads to Long Life." Scienmag. October 12, 2026. https://scienmag.com/bats-and-whales-age-differently-genomes-reveal-two-separate-roads-to-long-life/








