Establishment of a non-invasive age estimation method based on fecal DNA methylation levels in brown bears

Age is important for understanding the life history of wildlife. In this study, we established a non-invasive age estimation method based on DNA methylation levels using fecal DNA collected from 43 brown bears of known age (0–28 years; 27 females and 16 males) living in both captivity (18 bears) and the wild (25 bears). Bisulfite pyrosequencing was performed to determine the methylation levels of fecal DNA, and the best model was constructed based on four cytosine-phosphate-guanine (CpG) sites: one adjacent to DLX5 and three adjacent to SLC12A5 . The mean absolute error after leave-one-out cross-validation was 2.08 years, and the median absolute error was 0.99 years; these results demonstrate high accuracy. Furthermore, a method was implemented for quantifying host DNA copy numbers, demonstrating that analyses tend to fail or exhibit large estimation errors when the amount of host DNA is insufficient. This is a significant advancement compared to previous techniques that relied on fecal DNA methylation levels. Applying this method to field surveys will greatly contribute to ecological research and the development of appropriate conservation and management strategies for bears, while facilitating future epigenetic clock studies on other animals.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-07-23
DOI
https://doi.org/10.1038/s41598-026-63215-6
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Establishment of a non-invasive age estimation method based on fecal DNA methylation levels in brown bears

Hideyuki Ito, Shiori Nakamura, 正 渡辺, Yuu YOSHIMI et al.
Scientific Reports
Epigenetics and DNA Methylation
article

Establishment of a non-invasive age estimation method based on fecal DNA methylation levels in brown bears

Hideyuki Ito, Shiori Nakamura, 正 渡辺, Yuu YOSHIMI, Jumpei Yamazaki, Masanao Nakanishi, Miho Inoue‐Murayama, Michito Shimozuru, Kyogo Hagino, Satoshi Ohara, Toshio Tsubota, Masami Yamanaka, Naoya Matsumoto
article en

Abstract

Age is important for understanding the life history of wildlife. In this study, we established a non-invasive age estimation method based on DNA methylation levels using fecal DNA collected from 43 brown bears of known age (0–28 years; 27 females and 16 males) living in both captivity (18 bears) and the wild (25 bears). Bisulfite pyrosequencing was performed to determine the methylation levels of fecal DNA, and the best model was constructed based on four cytosine-phosphate-guanine (CpG) sites: one adjacent to DLX5 and three adjacent to SLC12A5 . The mean absolute error after leave-one-out cross-validation was 2.08 years, and the median absolute error was 0.99 years; these results demonstrate high accuracy. Furthermore, a method was implemented for quantifying host DNA copy numbers, demonstrating that analyses tend to fail or exhibit large estimation errors when the amount of host DNA is insufficient. This is a significant advancement compared to previous techniques that relied on fecal DNA methylation levels. Applying this method to field surveys will greatly contribute to ecological research and the development of appropriate conservation and management strategies for bears, while facilitating future epigenetic clock studies on other animals.

Scientific Reports
Hokkaido University (JP), Kyoto University (JP), Kaetsu University (JP), Kyoto City Zoo (JP), Shiretoko Museum (JP), Azabu University (JP)
Sumitomo Foundation, Environmental Restoration and Conservation Agency, Ministry of the Environment, Government of Japan, Japan Society for the Promotion of Science
Life in Land
Openalex Percentile: Top 15%
Epigenetics and DNA Methylation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.