Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Evolvability and trait function predict phenotypic divergence of plant populations

Opedal, Øystein H. LU ; Armbruster, W. Scott ; Hansen, Thomas F. ; Holstad, Agnes ; Pélabon, Christophe ; Andersson, Stefan LU ; Campbell, Diane R. ; Caruso, Christina M. ; Delph, Lynda F. and Eckert, Christopher G. , et al. (2023) In Proceedings of the National Academy of Sciences of the United States of America 120(1).
Abstract

Understanding the causes and limits of population divergence in phenotypic traits is a fundamental aim of evolutionary biology, with the potential to yield predictions of adaptation to environmental change. Reciprocal transplant experiments and the evaluation of optimality models suggest that local adaptation is common but not universal, and some studies suggest that trait divergence is highly constrained by genetic variances and covariances of complex phenotypes. We analyze a large database of population divergence in plants and evaluate whether evolutionary divergence scales positively with standing genetic variation within populations (evolvability), as expected if genetic constraints are evolutionarily important. We further evaluate... (More)

Understanding the causes and limits of population divergence in phenotypic traits is a fundamental aim of evolutionary biology, with the potential to yield predictions of adaptation to environmental change. Reciprocal transplant experiments and the evaluation of optimality models suggest that local adaptation is common but not universal, and some studies suggest that trait divergence is highly constrained by genetic variances and covariances of complex phenotypes. We analyze a large database of population divergence in plants and evaluate whether evolutionary divergence scales positively with standing genetic variation within populations (evolvability), as expected if genetic constraints are evolutionarily important. We further evaluate differences in divergence and evolvability- divergence relationships between reproductive and vegetative traits and between selfing, mixed-mating, and outcrossing species, as these factors are expected to influence both patterns of selection and evolutionary potentials. Evolutionary divergence scaled positively with evolvability. Furthermore, trait divergence was greater for vegetative traits than for floral (reproductive) traits, but largely independent of the mating system. Jointly, these factors explained -40% of the variance in evolutionary divergence. The consistency of the evolvability-divergence relationships across diverse species suggests substantial predictability of trait divergence. The results are also consistent with genetic constraints playing a role in evolutionary divergence.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
adaptation, evolvability, genetic constraints, macroevolution
in
Proceedings of the National Academy of Sciences of the United States of America
volume
120
issue
1
article number
e2203228120
pages
11 pages
publisher
National Academy of Sciences
external identifiers
  • pmid:36580593
  • scopus:85145149885
ISSN
0027-8424
DOI
10.1073/pnas.2203228120
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2022 the Author(s).
id
ba2bba21-55a5-4a63-adc0-f277002beec5
date added to LUP
2023-01-22 17:44:11
date last changed
2024-06-25 07:21:46
@article{ba2bba21-55a5-4a63-adc0-f277002beec5,
  abstract     = {{<p>Understanding the causes and limits of population divergence in phenotypic traits is a fundamental aim of evolutionary biology, with the potential to yield predictions of adaptation to environmental change. Reciprocal transplant experiments and the evaluation of optimality models suggest that local adaptation is common but not universal, and some studies suggest that trait divergence is highly constrained by genetic variances and covariances of complex phenotypes. We analyze a large database of population divergence in plants and evaluate whether evolutionary divergence scales positively with standing genetic variation within populations (evolvability), as expected if genetic constraints are evolutionarily important. We further evaluate differences in divergence and evolvability- divergence relationships between reproductive and vegetative traits and between selfing, mixed-mating, and outcrossing species, as these factors are expected to influence both patterns of selection and evolutionary potentials. Evolutionary divergence scaled positively with evolvability. Furthermore, trait divergence was greater for vegetative traits than for floral (reproductive) traits, but largely independent of the mating system. Jointly, these factors explained -40% of the variance in evolutionary divergence. The consistency of the evolvability-divergence relationships across diverse species suggests substantial predictability of trait divergence. The results are also consistent with genetic constraints playing a role in evolutionary divergence.</p>}},
  author       = {{Opedal, Øystein H. and Armbruster, W. Scott and Hansen, Thomas F. and Holstad, Agnes and Pélabon, Christophe and Andersson, Stefan and Campbell, Diane R. and Caruso, Christina M. and Delph, Lynda F. and Eckert, Christopher G. and Lankinen, Åsa and Walter, Greg M. and Ågren, Jon and Bolstad, Geir H.}},
  issn         = {{0027-8424}},
  keywords     = {{adaptation; evolvability; genetic constraints; macroevolution}},
  language     = {{eng}},
  month        = {{01}},
  number       = {{1}},
  publisher    = {{National Academy of Sciences}},
  series       = {{Proceedings of the National Academy of Sciences of the United States of America}},
  title        = {{Evolvability and trait function predict phenotypic divergence of plant populations}},
  url          = {{http://dx.doi.org/10.1073/pnas.2203228120}},
  doi          = {{10.1073/pnas.2203228120}},
  volume       = {{120}},
  year         = {{2023}},
}