Evidence map›Paper›PMID 42170337›Full record

ReviewQuantitative plant biology2026

Genomic perspectives on the inference of evolutionary changes in ecological life-history traits.

Lukas Metzger, Diala Abu-Awad, Thibaut Paul Patrick Sellinger, Aurélien Tellier

Abstract readReview
In one paragraph

Review in Quantitative plant biology, 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

4 authors.

Lukas MetzgerPopulation Genetics, Department of Life Science Systems, School of Life Sciences, Technische Universität München, Germany.
Diala Abu-AwadParis-Saclay University Faculty of Science Orsay, France.
Thibaut Paul Patrick SellingerPopulation Genetics, Department of Life Science Systems, School of Life Sciences, Technische Universität München, Germany.
Aurélien TellierPopulation Genetics, Department of Life Science Systems, School of Life Sciences, Technische Universität München, Germany.ORCID https://orcid.org/0000-0002-8895-0785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide polymorphism data are increasingly used in conservation biology, and new developments in theoretical population genomics generate refined statistical inference methods. Most theories and methods remain based on human life-history traits and genome characteristics, namely, that the ratio of the population rates of recombination over mutation is approximately one. However, most fungal, invertebrate or plant species exhibit violations of the classic population genetics models due to their peculiar life cycles, such as long-life span and generation overlap, dormancy, clonality, selfing and large variance in offspring production (sweepstakes reproduction). We first present applicable inference methods accounting for these life-history traits. Second, we highlight new inference methods to estimate the timing and magnitude of changes in these traits over evolutionary times. We suggest that methodological and theoretical novelties pave the way to dissect the causes and consequences of changes in ecological and evolutionary (life-history) traits in plant species and in multi-species assemblages (communities) in response to changing environments.

Indexed as

coalescent theorygenomic inferencelife-history traitsplant ecologyplant genomics

Identifiers

PMID42170337
PMCPMC13186994

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.