Evidence map›Paper›PMID 40273188›Full record

ArticlePloS one2025

Identification of Large Japanese field mouse Apodemus speciosus food plant resources in an industrial green space using DNA metabarcoding.

Taichi Fujii, Hirokazu Kawamoto, Tomoyasu Shirako, Masatoshi Nakamura, Motoyasu Minami

Abstract read
In one paragraph

Article in PloS one, 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

5 authors.

Taichi FujiiBioscience and Biotechnology, Chubu University, Kasugai, Aichi, Japan.ORCID 0000-0003-4909-9577
Hirokazu KawamotoOhki Pharmaceutical Co., Ltd., Tokyo, Japan.
Tomoyasu ShirakoInstitute of Environmental Ecology, IDEA Consultants, Inc., Yaizu, Shizuoka, Japan.
Masatoshi NakamuraInstitute of Environmental Ecology, IDEA Consultants, Inc., Yaizu, Shizuoka, Japan.
Motoyasu MinamiBioscience and Biotechnology, Chubu University, Kasugai, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA metabarcoding was employed to identify the food plant resources of the Large Japanese field mouse Apodemus speciosus inhabiting an artificial green space on reclaimed land on the Chita Peninsula in Aichi Prefecture, Central Japan, from 2012 to 2014. DNA metabarcoding was performed using high-throughput sequencing of partial rbcL sequences extracted from fecal samples collected in the study area. The obtained sequences, which were analyzed using a constructed local database, revealed that a total of 72 plant taxa were utilized as food plant resources by A. speciosus. Of these plant taxa, 43 could be assigned to species (59.7%), 16 to genus (22.2%), and 13 to family (18.1%). Of the 72 plant taxa identified in this study, the dominant families throughout all collection periods were Lauraceae (81.0% of 100 fecal samples), followed by Fagaceae (70.0%), Rosaceae (68.0%), and Oleaceae (48.0%). Fifty of the 72 plant taxa identified as food plant resources were woody plants. The findings showed that DNA metabarcoding using a local database constructed from the National Center for Biotechnology Information (NCBI) database and field surveys was effective for identifying the dominant food plants in the diet of A. speciosus. The results of this study provided basic information that can be applied to the formulation and implementation of management and conservation strategies for local wildlife.

Indexed as

DNA Barcoding, TaxonomicMurinaePlants, EdibleAnimalsDNA, PlantFecesHigh-Throughput Nucleotide SequencingJapanDNA, Plant

Identifiers

PMID40273188
PMCPMC12021226

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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.