Evidence map›Paper›PMID 41090471›Full record

ArticleThe New phytologist2026

Longevity in plants impacts phylogenetic and population dynamics.

Stephen A Smith, James B Pease, Tom Carruthers, Gideon S Bradburd, Indah B Huegele, Gregory W Stull, William N Weaver, Yingying Yang, Ting-Shuang Yi, Jeremy M Beaulieu

Abstract read
In one paragraph

Article in The New phytologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Stephen A SmithDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0003-2035-9531
James B PeaseDepartment of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, OH, 43210, USA.ORCID https://orcid.org/0000-0003-0125-9156
Tom CarruthersDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.
Gideon S BradburdDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.
Indah B HuegeleIdaho Museum of Natural History, Idaho State University, Pocatello, ID, 83209, USA.
Gregory W StullDepartment of Botany, National Museum of Natural History, Smithsonian Institution, Washington, DC, 20560, USA.ORCID https://orcid.org/0000-0002-2733-4823
William N WeaverDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, 48109, USA.
Yingying YangKunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.
Ting-Shuang YiKunming Institute of Botany, Chinese Academy of Sciences, Kunming, Yunnan, 650201, China.ORCID https://orcid.org/0000-0001-7093-9564
Jeremy M BeaulieuDepartment of Biological Sciences, University of Arkansas, Fayetteville, AR, 72701, USA.

Funding

Incorporating geography into statistical methods for analysis of population genomic DNAR35GM137919 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Gideon Bradburd · 2020 to 2026
$2.3M
Division of Environmental Biology 2217116Division of Environmental Biology 2217117Division of Integrative Organismal Systems 2409451NIGMS NIH HHS R35 GM137919NIH HHS R35GM137919
6 · The paper itself

Abstract

Phylogenies of long-lived plants often exhibit short molecular branch lengths and high levels of gene-tree conflict. However, the biological mechanisms underlying these patterns remain unclear. We examine this with simulations and through empirical examination of several large seed plant clades. We used an agent-based simulation model varying lifespan, degree of overlapping generations, and somatic mutation. We also compared simulated outcomes to phylogenomic patterns in several datasets of seed plants that include life-history shifts. Lifespan and overlapping generations together can generate both short branches and elevated gene-tree conflict. Somatic mutation can amplify these effects, although available evidence suggests mutation rates are often too low to drive major phylogenetic consequences. Variation across simulation parameterizations can mirror the diversity of phylogenomic patterns observed among lineages with differing life histories. Lifespan and generation overlap are potentially major contributors to characteristic phylogenetic signatures in long-lived plants. Consequently, life history should be considered when interpreting evolutionary patterns, substitution rates, and among-lineage heterogeneity in long-lived plant lineages.

Indexed as

LongevityPhylogenyPlantsComputer SimulationMutationPopulation Dynamicsagent‐based modelslife historylongevityphylogenysimulationssubstitution rates

Identifiers

PMID41090471
PMCPMC12709757

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.