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Cited by 744

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

Rates of Molecular Evolution Are Linked to Life History in Flowering Plants

Smith, Stephen A., Donoghue, Michael J.·2008·Science

Abstract

Variable rates of molecular evolution have been documented across the tree of life, but the cause of this observed variation within and among clades remains uncertain. In plants, it has been suggested that life history traits are correlated with the rate of molecular evolution, but previous studies have yielded conflicting results. Exceptionally large phylogenies of five major angiosperm clades demonstrate that rates of molecular evolution are consistently low in trees and shrubs, with relatively long generation times, as compared with related herbaceous plants, which generally have shorter generation times. Herbs show much higher rates of molecular change but also much higher variance in rates. Correlates of life history attributes have long been of interest to biologists, and our results demonstrate how changes in the rate of molecular evolution that are linked to life history traits can affect measurements of the tempo of evolution as well as our ability to identify and conserve biodiversity.

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Crossref · 10.1126/science.1163197

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Metadata

Authors
Smith, S. A., & Donoghue, M. J.
Venue
Science
Published
2008-10-03
Volume
322
Issue
5898
Pages
86-89
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2018232865
Cited by
744
References
30
FWCI
52.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rates of Molecular Evolution Are Linked to Life History in Flowering Plants. https://app.cochat.ai/papers/10.1126/science.1163197
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Smith, S. A., & Donoghue, M. J. (2008). Rates of Molecular Evolution Are Linked to Life History in Flowering Plants. Science. https://doi.org/10.1126/science.1163197

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.