Evidence map›Paper›PMID 42372165›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Nucleotide diversity is a poor predictor of short-term adaptive potential.

Katie L Abson, Lillith Zijmers, Elizabeth A Mittell, Euan A Young, Erik Postma, Adam Eyre-Walker, Jarrod D Hadfield

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Katie L AbsonInstitute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, United Kingdom.ORCID 0009-0009-1879-8595
Lillith ZijmersSchool of Life Sciences, University of Sussex, Brighton BN1 9QG, United Kingdom.
Elizabeth A MittellInstitute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, United Kingdom.ORCID 0000-0002-5801-614X
Euan A YoungGroningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen 9747 AG, The Netherlands.ORCID 0000-0001-9370-9681
Erik PostmaCentre for Ecology and Conservation, University of Exeter, Penryn TR10 9FE, United Kingdom.ORCID 0000-0003-0856-1294
Adam Eyre-WalkerSchool of Life Sciences, University of Sussex, Brighton BN1 9QG, United Kingdom.ORCID 0000-0001-5527-8729
Jarrod D HadfieldInstitute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3FL, United Kingdom.

Funding

UKRI | Natural Environment Research Council (NERC) NE/ S007407/1
6 · The paper itself

Abstract

The capacity to adapt is essential for a population to avoid extinction in a changing world and is recognized as a global conservation priority. Adaptation requires additive (heritable) genetic variation for traits that influence survival and fecundity, but measuring this variation is difficult, particularly in species of conservation concern. Instead, molecular genetic diversity is often used to infer adaptive potential. However, previous research has cast doubt on the suitability of traditional molecular markers (allozymes and microsatellites) for this purpose given their weak relationship with heritability-a common measure of additive genetic variance. Advances in sequencing technology have since shifted focus toward nucleotide diversity and variation in functional regions, but their practicality for predicting adaptive potential remains debated. Furthermore, heritability itself is a poor proxy for adaptive potential because it depends on environmental variance. We collated 2,113 published estimates of evolvability-a measure of additive genetic variance that avoids environmental confounding-across 193 eukaryotic species, and evaluated how well evolvability is predicted by molecular diversity. We find that microsatellite and nucleotide diversity are not significantly correlated to each other, and neither predict evolvability. Nucleotide diversity explains 1.1% of interspecific differences in evolvability and doubling nucleotide diversity only corresponds to a 11.7% increase in evolvability. With theoretical work, we show that such weak associations are expected. Together, our results suggest that simple molecular measures of genetic variation are insufficient for predicting adaptive potential and reliance on these metrics risks misinforming conservation management.

Indexed as

Adaptation, PhysiologicalGenetic VariationNucleotidesAnimalsEvolution, MolecularMicrosatellite RepeatsModels, GeneticNucleotidesadaptive potentialconservation geneticsevolvabilitygenetic variationnucleotide diversity

Identifiers

PMID42372165
PMCPMC13342847

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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.