Evidence map›Paper›PMID 34228848›Full record

ArticleMolecular ecology2021

The time is ripe for functional genomics: Can epigenetic changes mediate reproductive timing?

Melanie J Heckwolf, Britta S Meyer

Open access · hybridAbstract readComment
PubMed Publisher
In one paragraph

Article in Molecular ecology, 2021. 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
0.3field-weighted citation impact, top 33% of its field
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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Melanie J HeckwolfGurdon Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-7507-8895
Britta S MeyerMax Planck Research Group Behavioural Genomics, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Max Planck Institute for Evolutionary Biology · DEUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Populations are under strong selection to match reproductive timing with favourable environmental conditions. This becomes particularly important and challenging with increasing interannual environmental variability. Adjusting reproductive timing requires the ability to sense and interpret relevant environmental cues, while responding flexibly to their interannual variation. For instance, in seasonal species, reproductive timing is often dependent on photoperiod and temperature. Although many genes influencing the timing of reproduction have been identified, far less attention has been paid to the gene-regulatory cascades orchestrating these complex gene-environment interactions. In a From the Cover article in this issue of Molecular Ecology, Lindner, Laine, et al. (2021) addressed this knowledge gap by investigating the role of DNA methylation in mediating reproductive timing in the seasonally breeding great tit (Parus major). Using a clever blood sampling design, they investigated genome-wide DNA methylation changes following individual female birds across multiple reproductive stages. This approach revealed 10 candidate genes with a strong correlation between promoter methylation and reproductive status. Some of these genes are known to be involved in reproductive timing (e.g., MYLK-like or NR5A1), yet for others this function was previously unknown (Figure 1). Interestingly, NR5A1 is a key transcription factor, which may affect other genes that are part of the same regulatory network. The findings of Lindner, Laine, et al. (2021) provide a strong case for studying DNA methylation to uncover how gene-environment interactions influence important life-history traits, such as reproductive timing.

Indexed as

PasseriformesReproductionAnimalsDNA MethylationEpigenesis, GeneticFemaleGenomics

Identifiers

PMID34228848
OpenAlexW3181096875

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.