Evidence map›Paper›PMID 41888174›Full record

ArticleScientific reports2026

Developmental warming induces severe deformities and mortality in a thermally tolerant fish species.

Lucinda C Aulsebrook, Taylor L Hosler, Jennifer M Donelson

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Lucinda C AulsebrookCollege of Science and Engineering, James Cook University, Townsville, QLD, 4814, Australia. lucinda.aulsebrook@jcu.edu.au.
Taylor L HoslerCollege of Science and Engineering, James Cook University, Townsville, QLD, 4814, Australia.
Jennifer M DonelsonCollege of Science and Engineering, James Cook University, Townsville, QLD, 4814, Australia.

Funding

Australian Research Council DP230100078
6 · The paper itself

Abstract

Climate change poses an unprecedented global threat to wildlife, with projected environmental warming likely to push many species beyond optimum temperature ranges. Understanding thermal limits is therefore critical for risk predictions and conservation management, especially in the context of sensitive life stages such as early development. We investigated the effects of elevated developmental temperatures on the eastern mosquitofish, Gambusia holbrooki. This species is a highly successful invader across temperate to tropical regions, making it an ideal model for understanding potential outcomes for more tolerant species. Wild mosquitofish were collected from tropical waterways and bred under their thermal optimum of 27 °C. Offspring were reared from birth across three temperature treatments: 27 °C – control, 30 °C – a higher temperature within their thermal range, and 33 °C, a temperature designed to test their thermal boundaries. Alarmingly, 84% of the fish exposed to 33 °C developed severe spinal deformities and there was 100% mortality by 135 days old. While spinal deformation was less common at 30 °C, there was significantly reduced survival by 220 days. Our study demonstrates the importance of studying critical life stages, including early development, to understand the thermal sensitivity of wildlife, as even species that are known to have highly robust adults may face detrimental outcomes in climate change scenarios.

Indexed as

CyprinodontiformesAnimalsClimate ChangeHot TemperatureTemperatureClimate changeDevelopmental plasticityGambusia holbrookiHeat stressSkeletal developmentThermal tolerance

Identifiers

PMID41888174
PMCPMC13172312

What OpenQuestion holds

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LicenceCC BY
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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.