Evidence map›Paper›PMID 38832081›Full record

ArticleEvolutionary applications2024

An epigenetic toolbox for conservation biologists.

Alice Balard, Miguel Baltazar-Soares, Christophe Eizaguirre, Melanie J Heckwolf

Abstract read
In one paragraph

Article in Evolutionary applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  18. Approaching the mystery of aging by the epigenetic clock.Primates; journal of primatology · 2024
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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.

Alice BalardSchool of Biological and Behavioural Sciences Queen Mary University of London London UK.ORCID https://orcid.org/0000-0002-0942-7479
Miguel Baltazar-SoaresDepartment of Biology University of Turku Turku Finland.ORCID https://orcid.org/0000-0002-5919-6197
Christophe EizaguirreSchool of Biological and Behavioural Sciences Queen Mary University of London London UK.ORCID https://orcid.org/0000-0002-8673-7649
Melanie J HeckwolfDepartment of Ecology Leibniz Centre for Tropical Marine Research Bremen Germany.ORCID https://orcid.org/0000-0002-7507-8895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing climatic shifts and increasing anthropogenic pressures demand an efficient delineation of conservation units and accurate predictions of populations' resilience and adaptive potential. Molecular tools involving DNA sequencing are nowadays routinely used for these purposes. Yet, most of the existing tools focusing on sequence-level information have shortcomings in detecting signals of short-term ecological relevance. Epigenetic modifications carry valuable information to better link individuals, populations, and species to their environment. Here, we discuss a series of epigenetic monitoring tools that can be directly applied to various conservation contexts, complementing already existing molecular monitoring frameworks. Focusing on DNA sequence-based methods (e.g. DNA methylation, for which the applications are readily available), we demonstrate how (a) the identification of epi-biomarkers associated with age or infection can facilitate the determination of an individual's health status in wild populations; (b) whole epigenome analyses can identify signatures of selection linked to environmental conditions and facilitate estimating the adaptive potential of populations; and (c) epi-eDNA (epigenetic environmental DNA), an epigenetic-based conservation tool, presents a non-invasive sampling method to monitor biological information beyond the mere presence of individuals. Overall, our framework refines conservation strategies, ensuring a comprehensive understanding of species' adaptive potential and persistence on ecologically relevant timescales.

Indexed as

conservation biologyconservation geneticsecological geneticsphenotypic plasticitywildlife management

Identifiers

PMID38832081
PMCPMC11146150

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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.