A multidimensional selective landscape drives adaptive divergence between and within closely related Phlox species

Benjamin E. Goulet-Scott, Matthew C. Farnitano, Andrea L. M. Brown, Charles O. Hale, Meghan Blumstein and Robin Hopkins ()
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Benjamin E. Goulet-Scott: Harvard University
Matthew C. Farnitano: Harvard University
Andrea L. M. Brown: Harvard University
Charles O. Hale: Harvard University
Meghan Blumstein: Massachusetts Institute of Technology
Robin Hopkins: Harvard University

Nature Communications, 2024, vol. 15, issue 1, 1-11

Abstract: Abstract Selection causes local adaptation across populations within species and simultaneously divergence between species. However, it is unclear if either the force of or the response to selection is similar across these scales. We show that natural selection drives divergence between closely related species in a pattern that is distinct from local adaptation within species. We use reciprocal transplant experiments across three species of Phlox wildflowers to characterize widespread adaptive divergence. Using provenance trials, we also find strong local adaptation between populations within a species. Comparing divergence and selection between these two scales of diversity we discover that one suite of traits predicts fitness differences between species and that an independent suite of traits predicts fitness variation within species. Selection drives divergence between species, contributing to speciation, while simultaneously favoring extensive diversity that is maintained across populations within a species. Our work demonstrates how the selection landscape is complex and multidimensional.

Date: 2024
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DOI: 10.1038/s41467-024-49075-6

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