Foliar spectral signatures reveal adaptive divergence in live oaks (<i>Quercus</i> section <i>Virentes</i>) across species and environmental niches

Genomic tools have advanced our understanding of species and population structure, but distinguishing neutral from adaptive evolution remains challenging due to limited methods for measuring a broad spectrum of phenotypic traits. We used spectroscopic data from preserved leaves to test for adaptive divergence among populations of live oaks (Quercus section Virentes), a monophyletic group of seven species that diversified under sympatric, parapatric, and allopatric speciation. We used 427 individuals to test for isolation-by-distance (IBD) and isolation-by-environment (IBE), as well as the influences of selection and phylogenetic inertia on traits. Finally, we examined how phylogenetic signals are distributed across their foliar reflectance spectra. Partial redundancy analyses revealed that IBE explains more phenotypic variation than IBD among sympatric species, particularly in certain spectral regions and traits derived from spectra. Phylogenetic generalized least squares models show that environmental variables - including minimum temperature of the coldest month and annual precipitation - predict traits related to stress tolerance across climatic gradients, such as lignin concentration and anthocyanin levels. These results demonstrate that foliar reflectance spectra can be used to capture adaptive differentiation and evolutionary history across scales, offering a powerful, nondestructive tool for linking phenotype, environment, and evolutionary processes in long-lived plant lineages.

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Publication Details

Journal
New Phytologist
Published
2025-09-03
DOI
https://doi.org/10.1111/nph.70424
Citations
1
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
1.82

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article

Foliar spectral signatures reveal adaptive divergence in live oaks (Quercus section Virentes) across species and environmental niches

Antonio González‐Rodríguez, J. Antonio Guzmán Q., Jeannine Cavender‐Bares, Mariana S. Hernández‐Leal
1 citations
New Phytologist
Genetic diversity and population structure
1.82
article

Foliar spectral signatures reveal adaptive divergence in live oaks (Quercus section Virentes) across species and environmental niches

Antonio González‐Rodríguez, J. Antonio Guzmán Q., Jeannine Cavender‐Bares, Mariana S. Hernández‐Leal
article en
1 citations

Abstract

Genomic tools have advanced our understanding of species and population structure, but distinguishing neutral from adaptive evolution remains challenging due to limited methods for measuring a broad spectrum of phenotypic traits. We used spectroscopic data from preserved leaves to test for adaptive divergence among populations of live oaks (Quercus section Virentes), a monophyletic group of seven species that diversified under sympatric, parapatric, and allopatric speciation. We used 427 individuals to test for isolation-by-distance (IBD) and isolation-by-environment (IBE), as well as the influences of selection and phylogenetic inertia on traits. Finally, we examined how phylogenetic signals are distributed across their foliar reflectance spectra. Partial redundancy analyses revealed that IBE explains more phenotypic variation than IBD among sympatric species, particularly in certain spectral regions and traits derived from spectra. Phylogenetic generalized least squares models show that environmental variables - including minimum temperature of the coldest month and annual precipitation - predict traits related to stress tolerance across climatic gradients, such as lignin concentration and anthocyanin levels. These results demonstrate that foliar reflectance spectra can be used to capture adaptive differentiation and evolutionary history across scales, offering a powerful, nondestructive tool for linking phenotype, environment, and evolutionary processes in long-lived plant lineages.

New PhytologistVol. 248(1)
Harvard University (US), Evolutionary Genomics (United States) (US), Universidad Nacional Autónoma de México (MX)
National Science Foundation, Harvard University, University of Minnesota, Division of Biological Infrastructure
Openalex Percentile: Top 13%
Genetic diversity and population structure
1.82
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