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An epigenetic toolbox for conservation biologists




TekijätBalard, Alice; Baltazar-Soares, Miguel; Eizaguirre, Christophe; Heckwolf, Melanie J.

KustantajaWiley-Blackwell

Julkaisuvuosi2024

JournalEvolutionary Applications

Tietokannassa oleva lehden nimiEvolutionary applications

Lehden akronyymiEvol Appl

Artikkelin numeroe13699

Vuosikerta17

Numero6

eISSN1752-4571

DOIhttps://doi.org/10.1111/eva.13699

Verkko-osoitehttps://doi.org/10.1111/eva.13699

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/454779091


Tiivistelmä
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.

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Julkaisussa olevat rahoitustiedot
A.B is funded by European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 101026703. M.B.S. is funded by the Academy of Finland (Funding decision 321471). C.E is supported by UK Research and Innovation (NERC, NE/V001469/1, NE/X012077/1). MJH is funded by the German Research Foundation through their Walter Benjamin programme (HE 8763/1-1 and 8763/2-1).


Last updated on 2025-27-01 at 19:16