Evidence map›Paper›PMID 41039236›Full record

ArticleBMC microbiology2025

Temporal factors and habitats drive the variation of microbial distributions and co-occurrence patterns in the Pearl River Estuary.

Changyu Zhu, Cuiyi Wang, Jianlin Han, Zijing Quan, Jinghan Zhang, Xuan Lei, Ruixin Zhang, Zhenzhen Yi

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Changyu ZhuGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Cuiyi WangGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Jianlin HanGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Zijing QuanGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Jinghan ZhangGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Xuan LeiGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Ruixin ZhangGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China.
Zhenzhen YiGuangzhou Key Laboratory of Subtropical Biodiversity and Biomonitoring, School of Life Sciences, South China Normal University, Guangzhou, 510631, China. zyi@scnu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2024A1515011110College Students' Innovative Entrepreneurial Training Plan Program S202310574106Golden - Seed General Project of South China Normal University 25SMGB01National Natural Science Foundation of China 32370471
6 · The paper itself

Abstract

backgroundEstuaries are dynamic and complicated aquatic ecosystems, where both abiotic and biotic factors heavily vary across seasons and among habitats. However, the distributions and co-occurrence patterns of microorganisms in estuarine ecosystems are still little known. Here, the microeukaryotic and prokaryotic communities in the Pearl River Estuary (PRE) in southern China across different sampling time and habitat types were investigated using amplicon sequencing.

resultsResults showed that both the distribution and co-occurrence patterns of microeukaryotes and prokaryotes were driven by sampling time and habitat types. The sampling time showed stronger impact on distribution patterns and co-occurrence patterns of microeukaryotes than those of prokaryotes, whereas habitat types showed stronger influence on prokaryotes than on microeukaryotes. Additionally, the deterministic processes played a more important role in structuring microeukaryotic community structures and networks than those of prokaryotic counterparts in PRE. And the species interactions of prokaryotic communities were more stable than those of microeukaryotic counterparts.

conclusionsOur study sheds light on the importance of sampling time and habitat types in maintaining microbial diversities, and showed that prokaryotes and microeukaryotes may have different strategies when responding to the environmental changes in estuarine ecosystems.

Indexed as

BacteriaEcosystemEstuariesEukaryotaRiversBiodiversityChinaMicrobiotaPhylogenySeasonsTime FactorsWater MicrobiologyCommunity assemblyCo-occurrence patternEstuarine ecosystemMicroorganism

Identifiers

PMID41039236
PMCPMC12492964

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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.