Evidence map›Paper›PMID 39588347›Full record

ArticleEcology and evolution2024

Comparison Between Environmental DNA Metabarcoding and Traditional Survey Method to Identify Community Composition and Assembly of Stream Fish.

Ziyu Liu, Cong Hu, Wenhui You, Shuxin Li, Yongsheng Wu, Yangyang Liang, Ling Chu, Yunzhi Yan, Chen Zhang

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Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ziyu LiuSchool of Ecology and Environment Anhui Normal University Wuhu China.
Cong HuSchool of Ecology and Environment Anhui Normal University Wuhu China.
Wenhui YouSchool of Ecology and Environment Anhui Normal University Wuhu China.
Shuxin LiSchool of Ecology and Environment Anhui Normal University Wuhu China.
Yongsheng WuSchool of Ecology and Environment Anhui Normal University Wuhu China.
Yangyang LiangAnhui Province Key Laboratory of Aquaculture & Stock Enhancement Fishery Institute of Anhui Academy of Agricultural Sciences Hefei China.
Ling ChuSchool of Ecology and Environment Anhui Normal University Wuhu China.
Yunzhi YanSchool of Ecology and Environment Anhui Normal University Wuhu China.ORCID https://orcid.org/0000-0001-8088-3867
Chen ZhangSchool of Ecology and Environment Anhui Normal University Wuhu China.ORCID https://orcid.org/0000-0003-2880-3473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) metabarcoding has been widely used in freshwater systems, contributing to the advancements in the monitoring of fish diversity and community species composition. Nevertheless, the accuracy and reliability of eDNA metabarcoding in assessing functional structures and revealing the mechanisms underlying fish community assembly remain unclear. In this study, we combined a traditional survey method (electrofishing) and eDNA metabarcoding to conduct fish stock monitoring in the upper reaches of the Huishui stream. We assessed taxonomic and functional structures, as well as community assembly mechanisms, during dry and wet seasons. The results revealed that, compared with electrofishing surveys, eDNA metabarcoding detected a greater number of species and higher functional richness in both seasons. Despite significant differences in fish taxonomic composition between the seasons, both eDNA and traditional methods indicated that environmental filtering dominated the process of fish community assembly in both dry and wet seasons. We showed that eDNA metabarcoding is comparable to the electrofishing method in monitoring the community composition of stream fish and can accurately and reliably determine fish community assembly mechanisms. Combining functional traits and eDNA is a robust approach for monitoring stream fish community compared to taxonomic uncertainty.

Indexed as

community assemblyfunctional diversitynull modelsubtropical river

Identifiers

PMID39588347
PMCPMC11588354

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