Evidence map›Paper›PMID 33367268›Full record

ReviewPlant communications2020

Evolutionary Genomics of Plant Gametophytic Selection.

Felix E G Beaudry, Joanna L Rifkin, Spencer C H Barrett, Stephen I Wright

Abstract readReview
In one paragraph

Review in Plant communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  18. The selfing syndrome and beyond: diverse evolutionary consequences of mating system transitions in plants.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Felix E G BeaudryDepartment of Ecology and Evolutionary Biology, The University of Toronto, 25 Willcocks Street, Toronto, ON M5S 3B2, Canada.
Joanna L RifkinDepartment of Ecology and Evolutionary Biology, The University of Toronto, 25 Willcocks Street, Toronto, ON M5S 3B2, Canada.
Spencer C H BarrettDepartment of Ecology and Evolutionary Biology, The University of Toronto, 25 Willcocks Street, Toronto, ON M5S 3B2, Canada.
Stephen I WrightDepartment of Ecology and Evolutionary Biology, The University of Toronto, 25 Willcocks Street, Toronto, ON M5S 3B2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has long been recognized that natural selection during the haploid gametophytic phase of the plant life cycle may have widespread importance for rates of evolution and the maintenance of genetic variation. Recent theoretical advances have further highlighted the significance of gametophytic selection for diverse evolutionary processes. Genomic approaches offer exciting opportunities to address key questions about the extent and effects of gametophytic selection on plant evolution and adaptation. Here, we review the progress and prospects for integrating functional and evolutionary genomics to test theoretical predictions, and to examine the importance of gametophytic selection on genetic diversity and rates of evolution. There is growing evidence that selection during the gametophyte phase of the plant life cycle has important effects on both gene and genome evolution and is likely to have important pleiotropic effects on the sporophyte. We discuss the opportunities to integrate comparative population genomics, genome-wide association studies, and experimental approaches to further distinguish how differential selection in the two phases of the plant life cycle contributes to genetic diversity and adaptive evolution.

Indexed as

Biological EvolutionGenome-Wide Association StudyGenomicsGerm Cells, PlantSelection, GeneticPlant DevelopmentPlantsevolutiongametophytegenomicsovulepollenselection

Identifiers

PMID33367268
PMCPMC7748008

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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.