Evidence map›Paper›PMID 41233770›Full record

ArticleBMC microbiology2025

Different phytoplankton distributions and assembly processes in marine water masses with contrasting nutrient conditions.

Zhenyuan Lei, Chuanlun Zhang, Lei He, Wei Xie

Abstract read
In one paragraph

Article in BMC microbiology, 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. Review
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

4 authors.

Zhenyuan LeiSchool of Marine Sciences & Research Center of Ocean Climate, Sun Yat-Sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China.
Chuanlun ZhangDepartment of Ocean Science & Engineering, Shenzhen Key Laboratory of Marine Archaea Geo-Omics, Southern University of Science and Technology, Shenzhen, 518055, China.
Lei HeSchool of Marine Sciences & Research Center of Ocean Climate, Sun Yat-Sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China. helei23@mail.sysu.edu.cn.
Wei XieSchool of Marine Sciences & Research Center of Ocean Climate, Sun Yat-Sen University & Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China. xiewei9@mail.sysu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021B1515120080National Key Research and Development Program of China 2022YFC2805505National Natural Science Foundation of China 92051117Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) SML2023SP215
6 · The paper itself

Abstract

backgroundPhytoplankton play a vital role in global primary production and carbon fixation in marine ecosystems. A comprehensive understanding of their distribution patterns and assembly mechanisms under different nutrient conditions is essential for phytoplankton ecology. However, research in this field remains insufficient.

resultsThis study used environmental DNA (eDNA) technology targeting the 23S rRNA gene of phytoplankton to investigate the community structure and assembly processes of phytoplankton (algae and cyanobacteria) in the East China Sea. The analysis identified 224 phytoplankton species, including 72 Bacillariophyta, 44 Cyanobacteria, and 34 Chlorophyta. Based on the relative proportion of each phytoplankton 23S rRNA gene in the sequencing data, Bacillariophyta and Dinoflagellata were found to be predominated in the nutrient-rich Changjiang Diluted Water (CDW), while cyanobacteria dominated in the low-nutrient Kuroshio Branch Current (KBC). The distribution of phytoplankton was significantly influenced by salinity and nutrient levels. Deterministic processes primarily governed community assembly in both the CDW and the KBC. Co-occurrence network analysis revealed stronger phytoplankton interactions in the KBC compared to the CDW, suggesting enhanced cooperative or competitive dynamics. The CDW network, on the other hand, exhibited more modules, likely due to greater environmental heterogeneity.

conclusionsThis study highlights the effectiveness of eDNA technology in elucidating phytoplankton community structure and assembly mechanisms across diverse nutrient environments. These findings enhance our understanding of the ecological impacts of relatively high nutrient concentrations on phytoplankton in a changing ocean.

Indexed as

NutrientsPhytoplanktonSeawaterChinaChlorophytaCyanobacteriaDiatomsEcosystemPhylogenyRNA, Ribosomal, 23SSalinityNutrientsRNA, Ribosomal, 23S23S rRNA geneAssemblyEast china seaPhytoplankton

Identifiers

PMID41233770
PMCPMC12613871

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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.