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      How will mosquitoes adapt to climate warming?

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          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 Aedes aegypti-transmitted dengue virus in Northern Brazil as a case study. The approach outlined here can be applied to any disease vector or pest species and type of environmental change.

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          RCP 8.5—A scenario of comparatively high greenhouse gas emissions

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            The Measurement of Selection on Correlated Characters

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              The genome sequence of the malaria mosquito Anopheles gambiae.

              Anopheles gambiae is the principal vector of malaria, a disease that afflicts more than 500 million people and causes more than 1 million deaths each year. Tenfold shotgun sequence coverage was obtained from the PEST strain of A. gambiae and assembled into scaffolds that span 278 million base pairs. A total of 91% of the genome was organized in 303 scaffolds; the largest scaffold was 23.1 million base pairs. There was substantial genetic variation within this strain, and the apparent existence of two haplotypes of approximately equal frequency ("dual haplotypes") in a substantial fraction of the genome likely reflects the outbred nature of the PEST strain. The sequence produced a conservative inference of more than 400,000 single-nucleotide polymorphisms that showed a markedly bimodal density distribution. Analysis of the genome sequence revealed strong evidence for about 14,000 protein-encoding transcripts. Prominent expansions in specific families of proteins likely involved in cell adhesion and immunity were noted. An expressed sequence tag analysis of genes regulated by blood feeding provided insights into the physiological adaptations of a hematophagous insect.
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                Author and article information

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                17 August 2021
                2021
                : 10
                : e69630
                Affiliations
                [1 ] Department of Biology, Stanford University Stanford United States
                [2 ] Department of Biology, University of Hawaii at Manoa Honolulu United States
                [3 ] Emmett Interdisciplinary Program in Environment and Resources, Stanford University Stanford United States
                [4 ] Department of Zoology, University of Toronto Toronto Canada
                [5 ] Department of Ecology and Evolutionary Biology, University of California Los Angeles Los Angeles United States
                [6 ] Environmental Futures Research Institute, Griffith University Brisbane Australia
                [7 ] Department of Integrative Biology, University of California, Berkeley Berkeley United States
                [8 ] Department of Plant Biology, Carnegie Institution for Science Stanford United States
                Pennsylvania State University United States
                Pennsylvania State University United States
                Author information
                https://orcid.org/0000-0002-7417-8675
                http://orcid.org/0000-0002-6220-918X
                http://orcid.org/0000-0001-8585-1215
                http://orcid.org/0000-0002-8995-4446
                http://orcid.org/0000-0001-9514-8945
                http://orcid.org/0000-0001-5711-0700
                Article
                69630
                10.7554/eLife.69630
                8370766
                34402424
                7ae92d63-d7bb-4f01-8eb5-5bef09e5e8dd
                © 2021, Couper et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 22 April 2021
                : 13 July 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: R35GM133439
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DEB-1518681
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: DEB-2011147
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Review Article
                Ecology
                Custom metadata
                Mosquitoes may be likely to adapt to climate warming given their short life cycles and strong temperature sensitivity, but key data gaps identified here constrain current estimates of adaptive potential.

                Life sciences
                climate change,adaptation,evolutionary rescue,vector,mosquito,pest
                Life sciences
                climate change, adaptation, evolutionary rescue, vector, mosquito, pest

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