Annuality and C4 photosynthesis co-occur but evolved independently in warm, dry environments

Warm, dry environments create living conditions that challenge plant growth, reproduction and survival. Plants in these environments have evolved adaptive strategies to enhance water-use efficiency and ensure reproductive success, two of which are annuality and C4 photosynthesis. However, life history variation is rarely included in large-scale studies of plant diversity, and the extent to which these traits coevolve and are jointly selected for is not known. To address this, we used Pagel's models of independent and correlated evolution for over 4000 species of grasses (Poaceae), while accounting for evolutionary rate heterogeneity and potential type I statistical errors. We found that there are more C4 than C3 annuals and that C4 origins predate evolution of annuality, but no support for correlated evolution between the two traits. Our results indicate that any habitat or trait similarities (e.g. small seeds, fast growth) between annuals and C4 species reflect independent adaptations to similar environmental conditions or are contingent on the two traits themselves, rather than the result of evolutionary or functional links between them. Our results further highlight the importance of appropriate null model specification for testing evolutionary hypotheses across large, old clades.

Authors

Institutions

Publication Details

Journal
Biology Letters
Published
2026-04-15
DOI
https://doi.org/10.1098/rsbl.2025.0829
Primary Topic
Photosynthetic Processes and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Annuality and C4 photosynthesis co-occur but evolved independently in warm, dry environments

Siri Fjellheim, Marc Fradera‐Soler, Laura Schat, Aelys M. Humphreys et al.
Biology Letters
Photosynthetic Processes and Mechanisms
article

Annuality and C4 photosynthesis co-occur but evolved independently in warm, dry environments

Siri Fjellheim, Marc Fradera‐Soler, Laura Schat, Aelys M. Humphreys, M. S. Vorontsova
article en

Abstract

Warm, dry environments create living conditions that challenge plant growth, reproduction and survival. Plants in these environments have evolved adaptive strategies to enhance water-use efficiency and ensure reproductive success, two of which are annuality and C4 photosynthesis. However, life history variation is rarely included in large-scale studies of plant diversity, and the extent to which these traits coevolve and are jointly selected for is not known. To address this, we used Pagel's models of independent and correlated evolution for over 4000 species of grasses (Poaceae), while accounting for evolutionary rate heterogeneity and potential type I statistical errors. We found that there are more C4 than C3 annuals and that C4 origins predate evolution of annuality, but no support for correlated evolution between the two traits. Our results indicate that any habitat or trait similarities (e.g. small seeds, fast growth) between annuals and C4 species reflect independent adaptations to similar environmental conditions or are contingent on the two traits themselves, rather than the result of evolutionary or functional links between them. Our results further highlight the importance of appropriate null model specification for testing evolutionary hypotheses across large, old clades.

Biology LettersVol. 22(4)
Stockholm University (SE), Royal Botanic Gardens, Kew (GB), Norwegian University of Life Sciences (NO)
Bolincentret för klimatforskning, Stockholms Universitet
Clean water and sanitation
Openalex Percentile: Top 13%
Photosynthetic Processes and Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.