Evidence map›Paper›PMID 41673279›Full record

ArticleGeroScience2026

Evolvable soma theory of ageing: observations from the natural world.

Alessandro Fontana

Abstract read
In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Alessandro FontanaNational Gerontology Centre, Larnaca, Cyprus. fontalex00@gmail.com.ORCID http://orcid.org/0009-0001-5791-2014

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing has traditionally been interpreted through declining selection gradients with age. The Evolvable Soma Theory of Ageing (ESTA) provides a complementary perspective by proposing that age-associated somatic changes reflect the late extension of the developmental program, which is shaped by evolution. These late-acting changes are epigenetic in nature, encoded in the genome, subject to germline-mediated modification, and may be viewed as developmentally regulated variants that have not yet been refined by selection. Here, we explore whether patterns observed in the natural world are consistent with key expectations derived from this framework. One such expectation is that species experiencing lower rates of evolutionary change may exhibit slower age-associated decline. In line with this idea, we examine long-lived species occupying ecological niches characterised by reduced competition and environmental turnover, as well as taxa often described as exhibiting high evolutionary stasis, and note that several display extended lifespans compared to related groups. Secondly, we examine evo-devo dynamics concerning the relationship between development and evolutionary history, and discuss their compatibility with the conceptual structure of ESTA. A third expectation is that stronger evolutionary pressure may influence life-history timing, including shifts in the age of sexual maturation; this possibility is explored through comparisons between bonobos and chimpanzees and through broader sex-specific patterns reported in mammals. Taken together, these observations do not constitute definitive tests but provide preliminary, qualitative support for the idea that evolutionary dynamics and ageing may be more closely intertwined than traditionally assumed, and they highlight directions for future investigation.

Indexed as

AgingBiological EvolutionAnimalsHumansSelection, GeneticAgeingEvo-devoEvolutionLiving fossils

Identifiers

PMID41673279
PMCPMC13638826

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.