Evidence map›Paper›PMID 39931249›Full record

ArticleEcology and evolution2025

Application of DNA Methylation-Based Age Estimation to Construct an Age Structure of Humpback Whales in a Newly Emerged Wintering Ground Around Hachijojima Island, Tokyo Metropolis, Japan.

Kohei Igarashi, Atsushi Tanabe, Hiroeki Sahara, Reiko Nozaki, Hidehiro Kondo, Taiki Katsumata, Shingo Tamura, Tadashi Yamakoshi, Mizuki Mori, Marin Miyagi and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Kohei IgarashiLaboratory of Cetacean Biology Tokyo University of Marine Science and Technology Tokyo Japan.
Atsushi TanabeLaboratory of Highly-Advanced Veterinary Medical Technology Azabu University School of Veterinary Medicine Sagamihara Kanagawa Japan.ORCID https://orcid.org/0000-0001-7651-3943
Hiroeki SaharaLaboratory of Biology Azabu University School of Veterinary Medicine Sagamihara Kanagawa Japan.ORCID https://orcid.org/0000-0003-1070-3810
Reiko NozakiLaboratory of Genome Science Tokyo University of Marine Science and Technology Tokyo Japan.
Hidehiro KondoLaboratory of Genome Science Tokyo University of Marine Science and Technology Tokyo Japan.
Taiki KatsumataInstitute of Cetacean Research Tokyo Japan.
Shingo TamuraHachijojima Island Tourism Association Tokyo Japan.
Tadashi YamakoshiHachijo Town Office Tokyo Japan.
Mizuki MoriLaboratory of Cetacean Biology Tokyo University of Marine Science and Technology Tokyo Japan.
Marin MiyagiLaboratory of Cetacean Biology Tokyo University of Marine Science and Technology Tokyo Japan.
Gen NakamuraLaboratory of Cetacean Biology Tokyo University of Marine Science and Technology Tokyo Japan.
Naohisa KandaLaboratory of Cetacean Biology Tokyo University of Marine Science and Technology Tokyo Japan.
Hiroto MuraseLaboratory of Cetacean Biology Tokyo University of Marine Science and Technology Tokyo Japan.ORCID https://orcid.org/0000-0001-7784-6555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using a noninvasive DNA methylation (DNAm)-based age estimation method, we investigate the age structure of humpback whales that newly emerged around Hachijojima Island, Tokyo Metropolis, Japan to uncover the role of this area for this species. We measured DNAm frequencies at three age-related genes (

Indexed as

AsiacetaceanDNA methylation (DNAm)epigeneticshumpback whaleJapanmarine mammalNorth Pacific

Identifiers

PMID39931249
PMCPMC11810527

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Registered trials

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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.