Evidence map›Paper›PMID 34402424›Full record

ArticleeLife2021

How will mosquitoes adapt to climate warming?

Lisa I Couper, Johannah E Farner, Jamie M Caldwell, Marissa L Childs, Mallory J Harris, Devin G Kirk, Nicole Nova, Marta Shocket, Eloise B Skinner, Lawrence H Uricchio and 2 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 3% of its field
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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 111 citations in OpenAlex.

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  14. Thermal adaptation inProceedings. Biological sciences · 2025
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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

12 authors at 7 institutions in 3 countries.

Lisa I CouperDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0002-7417-8675
Johannah E FarnerDepartment of Biology, Stanford University, Stanford, United States.
Jamie M CaldwellDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0002-6220-918X
Marissa L ChildsEmmett Interdisciplinary Program in Environment and Resources, Stanford University, Stanford, United States.
Mallory J HarrisDepartment of Biology, Stanford University, Stanford, United States.
Devin G KirkDepartment of Biology, Stanford University, Stanford, United States.
Nicole NovaDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0001-8585-1215
Marta ShocketDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0002-8995-4446
Eloise B SkinnerDepartment of Biology, Stanford University, Stanford, United States.
Lawrence H UricchioDepartment of Integrative Biology, University of California, Berkeley, Berkeley, United States.ORCID 0000-0001-9514-8945
Moises Exposito-AlonsoDepartment of Biology, Stanford University, Stanford, United States.ORCID 0000-0001-5711-0700
Erin A MordecaiDepartment of Biology, Stanford University, Stanford, United States.
Stanford University · USCarnegie Institution for Science · USGriffith University · AUUniversity of California, Berkeley · USUniversity of California, Los Angeles · USUniversity of Hawaiʻi at Mānoa · USUniversity of Toronto · CA

Funding

Leveraging environmental drivers to predict vector-borne disease transmissionR35GM133439 · NIGMS · STANFORD UNIVERSITY · PI Erin Mordecai · 2019 to 2026
$3.2M
NIGMS NIH HHS R35 GM133439
6 · The paper itself

Abstract

The potential for adaptive evolution to enable species persistence under a changing climate is one of the most important questions for understanding impacts of future climate change. Climate adaptation may be particularly likely for short-lived ectotherms, including many pest, pathogen, and vector species. For these taxa, estimating climate adaptive potential is critical for accurate predictive modeling and public health preparedness. Here, we demonstrate how a simple theoretical framework used in conservation biology-evolutionary rescue models-can be used to investigate the potential for climate adaptation in these taxa, using mosquito thermal adaptation as a focal case. Synthesizing current evidence, we find that short mosquito generation times, high population growth rates, and strong temperature-imposed selection favor thermal adaptation. However, knowledge gaps about the extent of phenotypic and genotypic variation in thermal tolerance within mosquito populations, the environmental sensitivity of selection, and the role of phenotypic plasticity constrain our ability to make more precise estimates. We describe how common garden and selection experiments can be used to fill these data gaps. Lastly, we investigate the consequences of mosquito climate adaptation on disease transmission using

Indexed as

Adaptation, PhysiologicalClimate ChangeTemperatureAedesAnimalsDengueMosquito Vectorsadaptationclimate changeecologyevolutionary rescuemosquitopestvector

Identifiers

PMID34402424
PMCPMC8370766
OpenAlexW3195230318

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.