Evidence map›Paper›PMID 42811662›Full record

ReviewThe New phytologist2026

Linking genomic variation to floral trait adaptation across species boundaries.

Samson Acoca-Pidolle, Carolyn A Wessinger, Lena C Hileman

Abstract readReview
In one paragraph

Review in The New phytologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Samson Acoca-PidolleDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, 66045, USA.ORCID https://orcid.org/0009-0002-8456-5588
Carolyn A WessingerDepartment of Biological Sciences, University of South Carolina, Columbia, SC, 29208, USA.ORCID https://orcid.org/0000-0003-3687-2559
Lena C HilemanDepartment of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, 66045, USA.ORCID https://orcid.org/0000-0001-6116-666X

Funding

Directorate for Biological Sciences 2421327Directorate for Biological Sciences 2421328NIH HHS 1R35GM142636
6 · The paper itself

Abstract

Flowers are highly diverse in shape, scent, and colour and may differ strikingly even among closely related species. Floral traits experience correlational selection favouring trait combinations that maximise plant reproduction, leading to outstanding questions on how floral trait divergence evolves in closely related species. In this review, we take a quantitative genetic perspective and ask whether and how the genetic architecture of floral trait divergence depends on adaptation to specific pollination systems and how it informs on the dynamics of the assembly of floral traits during divergence. After reviewing results from studies mapping divergent floral traits in closely related species, we emphasise the value of combining trait mapping approaches with approaches that identify genomic variation differentiating species boundaries. We show how the combination of these approaches has been successful in recent studies and how it could improve our understanding of floral diversification.

Indexed as

Adaptation, PhysiologicalFlowersGenetic VariationGenome, PlantGenomicsQuantitative Trait, HeritablePhenotypePollinationSpecies Specificityadaptationfloral traitgenetic architecturegenomic landscapepollination syndromepopulation genomicsspecies boundaries

Identifiers

PMID42811662
PMCPMC13669815

What OpenQuestion holds

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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.