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Environmental temperatures shape thermal physiology as well as diversification and genome-wide substitution rates in lizards
CREAF, Cerdanyola Del Valles 08193, Spain;Univ Hull, Dept Biol & Marine Sci, Cottingham Rd, Kingston Upon Hull HU6 7RX, Yorks, England;Washington Univ, Dept Biol, St Louis, MO 63130 USA.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Organismal Biology, Systematic Biology.ORCID iD: 0000-0002-3628-1137
Leibniz Inst Evolut & Biodivers Sci, Museum Nat Kunde, Invalidenstr 43, D-10115 Berlin, Germany.
Hannover Sch Vet Med, Inst Zool, Bunteweg 17, D-30559 Hannover, Germany.ORCID iD: 0000-0003-1936-793X
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2019 (English)In: Nature Communications, ISSN 2041-1723, E-ISSN 2041-1723, Vol. 10, article id 4077Article in journal (Refereed) Published
Abstract [en]

Climatic conditions changing over time and space shape the evolution of organisms at multiple levels, including temperate lizards in the family Lacertidae. Here we reconstruct a dated phylogenetic tree of 262 lacertid species based on a supermatrix relying on novel phylogenomic datasets and fossil calibrations. Diversification of lacertids was accompanied by an increasing disparity among occupied bioclimatic niches, especially in the last 10 Ma, during a period of progressive global cooling. Temperate species also underwent a genomewide slowdown in molecular substitution rates compared to tropical and desert-adapted lacertids. Evaporative water loss and preferred temperature are correlated with bioclimatic parameters, indicating physiological adaptations to climate. Tropical, but also some populations of cool-adapted species experience maximum temperatures close to their preferred temperatures. We hypothesize these species-specific physiological preferences may constitute a handicap to prevail under rapid global warming, and contribute to explaining local lizard extinctions in cool and humid climates.

Place, publisher, year, edition, pages
2019. Vol. 10, article id 4077
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Evolutionary Biology
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URN: urn:nbn:se:uu:diva-394965DOI: 10.1038/s41467-019-11943-xISI: 000484779500005PubMedID: 31501432OAI: oai:DiVA.org:uu-394965DiVA, id: diva2:1362183
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Swedish National Infrastructure for Computing (SNIC), SNIC 2017/7-275Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2019-10-18Bibliographically approved

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