Evidence map›Paper›PMID 42017004›Full record

ArticleEcology and evolution2026

Investigating a Potential Bias in Resurrection Experiments to Measure Adaptive Evolution of Flowering Time.

Sarah M Ravoth, Ariane Mooney, Emily J Austen, Alice DesRoches, A J Westerhof, Arthur E Weis

Abstract read
In one paragraph

Article in Ecology and evolution, 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

6 authors.

Sarah M RavothDepartment of Zoology University of British Columbia Vancouver British Columbia Canada.ORCID https://orcid.org/0000-0002-3592-2211
Ariane MooneyFaculty of Biosciences Norwegian University of Life Sciences Ås Norway.
Emily J AustenBiology Department Mount Allison University New Brunswick Canada.
Alice DesRochesDepartment of Ecology & Evolutionary Biology University of Toronto Toronto Ontario Canada.
A J WesterhofDepartment of Biology University of Western Ontario London Ontario Canada.
Arthur E WeisDepartment of Ecology & Evolutionary Biology University of Toronto Toronto Ontario Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species persistence under climate change often depends on rapid evolutionary responses to increasingly extreme conditions. Resurrection experiments are a valuable approach for tracking the rate of adaptive evolution: ancestral propagules are stored, then later revived and grown alongside descendants, exposing shifts in trait values that indicate evolutionary change. However, even under the best storage conditions, ancestral propagules age and eventually a fraction die. If propagule longevity in storage is non-random and genetically correlated with a trait of interest, bias is introduced to the ancestral trait baseline, consequently distorting estimates of adaptive evolution. To understand the degree to which non-random ancestral propagule loss biases resurrection experiments, we simulated long-term seed aging of the annual

Indexed as

adaptive evolutionclimate changemissing dataphenologyresurrection experimentseedbank

Identifiers

PMID42017004
PMCPMC13093673

What OpenQuestion holds

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LicenceCC BY
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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.