Evidence map›Paper›PMID 40510629›Full record

ArticleEcology and evolution2025

Global Patterns in the Evolutionary Relations Between Seed Mass and Germination Traits.

Keyvan Maleki, Filip Vandelook, Arne Saatkamp, Kourosh Maleki, Siavash Heshmati, Elias Soltani

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Keyvan MalekiDepartment of Horticulture and Crop Science The Ohio State University Columbus Ohio USA.ORCID https://orcid.org/0000-0003-1440-8480
Filip VandelookResearch Department Meise Botanic Garden Meise Belgium.
Arne SaatkampAix Marseille Université Université Avignon, CNRS, IRD, UMR IMBE Marseille France.
Kourosh MalekiDepartment of Forestry Gorgan University of Agricultural Sciences and Natural Resources Gorgan Iran.
Siavash HeshmatiDepartment of Plant, Soil and Microbial Sciences Michigan State University East Lansing Michigan USA.
Elias SoltaniDepartment of Agronomy and Plant Breeding Sciences, College of Aburaihan University of Tehran Tehran Iran.ORCID https://orcid.org/0000-0003-0017-6703

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between seed mass and germination traits remains unresolved, with conflicting theoretical predictions. Some studies suggest larger seeds exhibit superior germination and post-germination performance, while others indicate the opposite, possibly due to environmental factors and additional seed traits. To clarify this relationship, we conducted a phylogenetically informed meta-analysis of 1889 plant species worldwide. Our findings show that seed dormancy is strongly associated with seed mass, but the direction and magnitude of this relationship vary by dormancy type, with lower seed mass in physiologically dormant seeds (-0.026) and higher seed mass in morphophysiologically (0.066) and physically dormant seeds (0.598). Trade-offs and correlated evolution have influenced seed mass, which exhibits notable phylogenetic conservation. Contrary to predictions, larger seeds did not consistently germinate faster or to a higher percentage (-0.648 and 0.890), likely due to interactions with growth form, dormancy class, and phylogenetic history. These findings highlight the importance of considering seed traits, growth form, and evolutionary relationships when examining plant adaptation and germination strategies.

Indexed as

adaptationclimate changegermination traitsphylogenyseed dormancyseed mass

Identifiers

PMID40510629
PMCPMC12158795

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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.