Epigenetic Signatures of Ageing in Asian Elephants Revealed by Reduced Representation Bisulphite Sequencing

= 0.96, MAE = 4.82 years), corresponding to a relative error of 6.06%, comparable to epigenetic clocks developed for humans and other non-model species. Longitudinal analyses revealed heterogeneous epigenetic ageing trajectories, with most individuals showing increases in epigenetic age over time, while others exhibited relatively slower or minimal change, indicating a potential inter-individual variation in ageing processes. Functional enrichment analyses revealed that age-associated CpGs were enriched in genes and pathways related to development, neurogenesis, metabolism and social or physiological regulation, including oxytocin, apelin and melanogenesis signalling. Age-related methylation changes were characterised by predominant hypermethylation in CpG islands and genic regions, consistent with patterns reported across mammals. Together, these findings demonstrate that epigenetic clocks capture biologically meaningful features of ageing that could be linked to life-history traits. As long-lived mammals with complex social systems and extended reproductive capacity, Asian elephants provide a valuable comparative model for investigating the molecular architecture of ageing. This study contributes to the growing field of comparative epigenetic ageing and highlights the potential of DNA methylation-based approaches to inform evolutionary and conservation-relevant research when applied in appropriate ecological and methodological contexts.

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Publication Details

Journal
Evolutionary Applications
Published
2026-04-01
DOI
https://doi.org/10.1111/eva.70236
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

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article

Epigenetic Signatures of Ageing in Asian Elephants Revealed by Reduced Representation Bisulphite Sequencing

Kana Arai, Miho Inoue‐Murayama
Evolutionary Applications
Epigenetics and DNA Methylation
article

Epigenetic Signatures of Ageing in Asian Elephants Revealed by Reduced Representation Bisulphite Sequencing

Kana Arai, Miho Inoue‐Murayama
article en

Abstract

= 0.96, MAE = 4.82 years), corresponding to a relative error of 6.06%, comparable to epigenetic clocks developed for humans and other non-model species. Longitudinal analyses revealed heterogeneous epigenetic ageing trajectories, with most individuals showing increases in epigenetic age over time, while others exhibited relatively slower or minimal change, indicating a potential inter-individual variation in ageing processes. Functional enrichment analyses revealed that age-associated CpGs were enriched in genes and pathways related to development, neurogenesis, metabolism and social or physiological regulation, including oxytocin, apelin and melanogenesis signalling. Age-related methylation changes were characterised by predominant hypermethylation in CpG islands and genic regions, consistent with patterns reported across mammals. Together, these findings demonstrate that epigenetic clocks capture biologically meaningful features of ageing that could be linked to life-history traits. As long-lived mammals with complex social systems and extended reproductive capacity, Asian elephants provide a valuable comparative model for investigating the molecular architecture of ageing. This study contributes to the growing field of comparative epigenetic ageing and highlights the potential of DNA methylation-based approaches to inform evolutionary and conservation-relevant research when applied in appropriate ecological and methodological contexts.

Evolutionary ApplicationsVol. 19(4)
Kyoto University (JP), Japan Wildlife Research Center (JP)
Environmental Restoration and Conservation Agency, Ministry of the Environment, Government of Japan, Japan Society for the Promotion of Science, Japan Science and Technology Agency
Life in Land
Openalex Percentile: Top 24%
Epigenetics and DNA Methylation
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Epigenetic Signatures of Ageing in Asian Elephants Revealed by Reduced Representation Bisulphite Sequencing — Kana Arai, Miho Inoue‐Murayama · Evolutionary Applications (2026) | TGRS Research Map | TGRS