Evidence map›Paper›PMID 42244808›Full record

ArticleEvolution letters2026

Increased adaptive potential in novel environments can be predicted from genetic variance in development time expressed in native environments.

Greg M Walter, Keyne Monro, Alastair Wilson, Delia Terranova, Enrico la Spina, Maria Majorana, Giuseppe Pepe, Sarah du Plessis, James Clark, Salvatore Cozzolino and 3 more

Abstract read
In one paragraph

Article in Evolution letters, 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

13 authors.

Greg M WalterSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-0883-3440
Keyne MonroSchool of Biological Sciences, Monash University, Melbourne, Australia.ORCID https://orcid.org/0000-0002-0956-3032
Alastair WilsonCentre for Ecology and Conservation, University of Exeter, Cornwall, United Kingdom.ORCID https://orcid.org/0000-0002-5045-2051
Delia TerranovaDepartment of Biology, University of Naples Federico II, Naples, Italy.
Enrico la SpinaDepartment of Biological, Geological and Environmental Sciences, University of Catania, Catania, Italy.
Maria MajoranaDepartment of Biological, Geological and Environmental Sciences, University of Catania, Catania, Italy.
Giuseppe PepeDepartment of Biological, Geological and Environmental Sciences, University of Catania, Catania, Italy.
Sarah du PlessisSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.
James ClarkDepartment of Plant Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0003-2896-1631
Salvatore CozzolinoDepartment of Biology, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0000-0002-3176-8130
Antonia CristaudoDepartment of Biological, Geological and Environmental Sciences, University of Catania, Catania, Italy.ORCID https://orcid.org/0000-0002-4607-9901
Simon J HiscockDepartment of Plant Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0003-0954-0540
Jon BridleSchool of Biological Sciences, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-5999-0307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While developmental plasticity helps organisms to maintain fitness as environments change, such plasticity has limits. When novel environments exceed these limits and mean fitness declines, the extent of decline is expected to vary among genotypes, which could increase adaptive potential. We lack fundamental insights into whether genetic variation in early development is linked to adaptive potential in novel environments, which limits our ability to predict how natural populations will respond to global change. Using a breeding design, we generated c. 20,000 seeds of 2 ecologically contrasting Sicilian species of daisies (

Indexed as

additive genetic variancedevelopment costsearly life historygenotype-by-environment interactionsnovel environmentsselection gradient

Identifiers

PMID42244808
PMCPMC13232505

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.