Designing epigenetic clocks for wildlife research

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Abstract

The potential applications of epigenetic clocks are expanding in wildlife conservation and management. The pace at which they are being adopted highlights the need for field-specific design best practices. Epigenetic clocks were originally developed for human studies, presenting challenges for their adoption in wildlife research. Most notably, the estimated ages of sampled wildlife can be unreliable, and sampling restrictions limit the number and variety of available samples, which can reduce the accuracy of epigenetic clocks for wildlife. In this article, we present a detailed workflow for designing, validating, and applying wildlife epigenetic clocks in a way that accounts for sampling constraints. We provide recommendations for two main applications of wildlife epigenetic clocks: estimating unknown ages and assessing cumulative biological aging. Our simulations and analyses, applied to an extensive polar bear dataset from across the Canadian Arctic, demonstrate that accurate epigenetic clocks for wildlife can be constructed and validated with limited samples, accommodating projects with small budgets and sampling constraints. With our workflow and examples, we hope to make epigenetic clock use more accessible and widespread in wildlife conservation and management.
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Abstract

The applications of epigenetic clocks, statistical models that predict an individual's age based on DNA methylation patterns, are expanding in wildlife conservation and management. This growing interest highlights the need for field-specific design best practices. Here, we provide recommendations for two main applications of wildlife epigenetic clocks: estimating the unknown ages of individuals and assessing their biological aging rates. Epigenetic clocks were originally developed to measure biological aging rates of human tissues, which presents challenges for their adoption in wildlife research. Most notably, the estimated chronological ages of sampled wildlife can be unreliable, and sampling restrictions limit the number and variety of tissues with which epigenetic clocks can be constructed, reducing their accuracy. To address these challenges, we present a detailed workflow for designing, validating, and applying accurate wildlife epigenetic clocks. Using simulations and analyses applied to an extensive polar bear dataset from across the Canadian Arctic, we demonstrate that accurate epigenetic clocks for wildlife can be constructed and validated using a limited number of samples, accommodating projects with small budgets and sampling constraints. The concerns we address are critical for clock design, whether researchers or third-party service providers perform the bioinformatics. With our workflow and examples, we hope to support the accessible and widespread use of epigenetic clocks in wildlife conservation and management. DOI https://doi.org/10.32942/X2NW5C Subjects Life Sciences

Keywords

epigenetic clock, DNA methylation, biomarker, Wildlife monitoring, biodiversity conservation, age estimation Dates Published: 2025-02-12 17:41 Last Updated: 2025-04-11 01:01 Older Versions License CC BY Attribution 4.0 International Additional Metadata Conflict of interest statement: None Data and Code Availability Statement: All data and code are available from https://github.com/ljnewediuk/how_to_clocks.git Language: English

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