Evidence map›Paper›PMID 41681424›Full record

ReviewAnimals : an open access journal from MDPI2026

From Sequences to Food Webs: DNA Metabarcoding Reshapes Fish Trophic Ecology.

Lin Liang, Jiajie Li, Shiyun Fang, Cheng Jiang, Sheng Bi, Lei Zhou

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Feeding Habits of Narrow-Clawed CrayfishAnimals : an open access journal from MDPI · 2026
    Article
  2. Analysis ofAnimals : an open access journal from MDPI · 2026
    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

6 authors.

Lin LiangCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
Jiajie LiCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
Shiyun FangCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.
Cheng JiangSchool of Life Sciences and Environmental Resources, Yichun University, Yichun 336000, China.
Sheng BiSchool of Life Sciences and Environmental Resources, Yichun University, Yichun 336000, China.
Lei ZhouCollege of Marine Sciences, South China Agricultural University, Guangzhou 510642, China.ORCID 0000-0002-3995-1087

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish occupy pivotal trophic positions in aquatic ecosystems, mediating energy transfer and shaping community structure through their feeding interactions. Unraveling these dietary relationships is therefore fundamental for understanding ecosystem functioning and supporting sustainable fisheries management. Traditional morphological analyses, while informative, often fall short in resolving fine-scale prey diversity and trophic linkages. In contrast, DNA metabarcoding has revolutionized dietary studies by enabling comprehensive, high-resolution, and non-invasive characterization of prey assemblages. This review synthesizes recent progress in applying DNA metabarcoding to fish trophic ecology, emphasizing technical innovations, methodological standardization, and ecological insights. We discuss how DNA metabarcoding has advanced the understanding of food web complexity, species interactions, and ecological responses to environmental change. However, challenges persist in quantification accuracy, reference database completeness, and cross-source contamination. Future research integrating multi-marker approaches, standardized workflows, and multi-method integration holds promise for transforming DNA metabarcoding into a powerful, reliable and mechanistic tool for trophic ecology. Collectively, these developments will bridge molecular data with ecological theory, strengthening the scientific foundation for ecosystem-based fisheries management.

Indexed as

DNA metabarcodingecological interactionsfish dietfisheries managementfood web dynamics

Identifiers

PMID41681424
PMCPMC12897354

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.