Intraindividual, intraspecific, and interspecific variation shapes natural selection and its detection in two convergently-evolved lizard species

Much of our understanding of how natural selection operates comes from studies of highly heritable traits presumed to vary little within individuals. Here we show that intraindividual (within-individual) phenotypic variation is an important source of intraspecific variation, shaping both natural selection and its detection in wild, open populations. We employed a multi-year capture-mark-recapture (CMR) study of two lizard species (Sceloporus cowlesi and Holbrookia maculata) at the ecotone between the white gypsum dunes at White Sands National Park and the surrounding dark Chihuahuan desert soils. Unlike many CMR studies examining selection on morphology, we measured individuals' traits at each capture. We found that our inferences into which traits were under selection depended on which measurement instance we used (first, last, or median measurement of all measurements of a given trait), and, therefore, the degree of intraindividual variation within each trait. We present a contingency analysis to facilitate assessing when traits are under selection, when they are not, and when intraindividual variation complicates these inferences. Beyond these conceptual advances, our work has implications for the White Sands system, a model system for repeated evolution. In particular, both lizard species experience different selection regimes within the same ecotonal habitat, despite both showing convergent evolution in dorsal blanching on White Sands.

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Publication Details

Journal
PLoS ONE
Published
2025-08-04
DOI
https://doi.org/10.1371/journal.pone.0326443
Primary Topic
Animal Behavior and Reproduction
Type
article
Field-Weighted Citation Impact
0.00

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article

Intraindividual, intraspecific, and interspecific variation shapes natural selection and its detection in two convergently-evolved lizard species

Michaela S. Brinkmeyer, Jacqueline M. Howells, Simone Des Roches, Max R. Lambert et al.
PLoS ONE
Animal Behavior and Reproduction
article

Intraindividual, intraspecific, and interspecific variation shapes natural selection and its detection in two convergently-evolved lizard species

Michaela S. Brinkmeyer, Jacqueline M. Howells, Simone Des Roches, Max R. Lambert, Erica Bree Rosenblum, Andy Dettinger
article en

Abstract

Much of our understanding of how natural selection operates comes from studies of highly heritable traits presumed to vary little within individuals. Here we show that intraindividual (within-individual) phenotypic variation is an important source of intraspecific variation, shaping both natural selection and its detection in wild, open populations. We employed a multi-year capture-mark-recapture (CMR) study of two lizard species (Sceloporus cowlesi and Holbrookia maculata) at the ecotone between the white gypsum dunes at White Sands National Park and the surrounding dark Chihuahuan desert soils. Unlike many CMR studies examining selection on morphology, we measured individuals' traits at each capture. We found that our inferences into which traits were under selection depended on which measurement instance we used (first, last, or median measurement of all measurements of a given trait), and, therefore, the degree of intraindividual variation within each trait. We present a contingency analysis to facilitate assessing when traits are under selection, when they are not, and when intraindividual variation complicates these inferences. Beyond these conceptual advances, our work has implications for the White Sands system, a model system for repeated evolution. In particular, both lizard species experience different selection regimes within the same ecotonal habitat, despite both showing convergent evolution in dorsal blanching on White Sands.

PLoS ONEVol. 20(8)
Boise State University (US), The Nature Conservancy (US), University of Washington (US), Brown University (US), Rhode Island Hospital (US), Washington Department of Fish and Wildlife (US), University of California, Berkeley (US)
National Science Foundation, Fonds Wetenschappelijk Onderzoek, Natural Sciences and Engineering Research Council of Canada
Life in Land
Openalex Percentile: Top 84%
Animal Behavior and Reproduction
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