Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment.

Fuente: PubMed
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Kim, So-Yeon, Cheon, Seongmin, Park, Chungoo, Soh, Ho Young
Format: Artículo científico
Langue:en
Publié: Scientific reports 2025
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1868266237308436481
author Kim, So-Yeon
Cheon, Seongmin
Park, Chungoo
Soh, Ho Young
author_facet Kim, So-Yeon
Cheon, Seongmin
Park, Chungoo
Soh, Ho Young
Kim, So-Yeon
Cheon, Seongmin
Park, Chungoo
Soh, Ho Young
collection PubMed - marine biology
contents Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment. Kim, So-Yeon Cheon, Seongmin Park, Chungoo Soh, Ho Young Animals Zooplankton DNA Barcoding, Taxonomic Biodiversity Copepoda Ecosystem China Oceans and Seas Marine copepod communities play crucial roles in ocean ecosystems. However, their accurate assessment remains challenging due to taxonomic complexities. This study combines morphological and DNA metabarcoding approaches to evaluate copepod diversity and community structure in the northern East China Sea. Zooplankton samples were collected from 10 stations along a coastal-offshore gradient in August 2019. Morphological analysis identified 34 species from 25 genera, while DNA metabarcoding detected 31 species from 20 genera. Both methods revealed distinct coastal and offshore assemblages, with Paracalanus parvus s.l. as the dominant species across all stations. A significant positive correlation was found between morphology-based individual counts and metabarcoding sequence reads (Spearman's Rho = 0.58, p
format Artículo científico
id pubmed_40025088
institution PubMed
language en
publishDate 2025
publisher Scientific reports
record_format pubmed
spellingShingle Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment.
Kim, So-Yeon
Cheon, Seongmin
Park, Chungoo
Soh, Ho Young
Animals
Zooplankton
DNA Barcoding, Taxonomic
Biodiversity
Copepoda
Ecosystem
China
Oceans and Seas
Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment. Kim, So-Yeon Cheon, Seongmin Park, Chungoo Soh, Ho Young Animals Zooplankton DNA Barcoding, Taxonomic Biodiversity Copepoda Ecosystem China Oceans and Seas Marine copepod communities play crucial roles in ocean ecosystems. However, their accurate assessment remains challenging due to taxonomic complexities. This study combines morphological and DNA metabarcoding approaches to evaluate copepod diversity and community structure in the northern East China Sea. Zooplankton samples were collected from 10 stations along a coastal-offshore gradient in August 2019. Morphological analysis identified 34 species from 25 genera, while DNA metabarcoding detected 31 species from 20 genera. Both methods revealed distinct coastal and offshore assemblages, with Paracalanus parvus s.l. as the dominant species across all stations. A significant positive correlation was found between morphology-based individual counts and metabarcoding sequence reads (Spearman's Rho = 0.58, p
title Integrating DNA metabarcoding and morphological analysis improves marine zooplankton biodiversity assessment.
topic Animals
Zooplankton
DNA Barcoding, Taxonomic
Biodiversity
Copepoda
Ecosystem
China
Oceans and Seas
url https://pubmed.ncbi.nlm.nih.gov/40025088/