Evidence map›Paper›PMID 34665286›Full record

ArticleMicrobial ecology2022

Ecological Dynamics and Co-occurrences Among Prokaryotes and Microeukaryotes in a Diatom Bloom Process in Xiangshan Bay, China.

Weijuan Xie, Yi Yan, Jian Hu, Pengsheng Dong, Dandi Hou, Huajun Zhang, Zhiyuan Yao, Xiangyu Zhu, Demin Zhang

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Article in Microbial ecology, 2022. 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

9 authors.

Weijuan Xie *State Key Laboratory for Managing Biotic and Chemical Threats To the Quality and Safety of Agro-Products, Ningbo University, Ningbo, 315211, China.
Yi Yan *School of Marine Sciences, Ningbo University, Ningbo, 315832, China.
Jian HuState Key Laboratory for Managing Biotic and Chemical Threats To the Quality and Safety of Agro-Products, Ningbo University, Ningbo, 315211, China.
Pengsheng DongState Key Laboratory for Managing Biotic and Chemical Threats To the Quality and Safety of Agro-Products, Ningbo University, Ningbo, 315211, China.
Dandi HouState Key Laboratory for Managing Biotic and Chemical Threats To the Quality and Safety of Agro-Products, Ningbo University, Ningbo, 315211, China.
Huajun ZhangState Key Laboratory for Managing Biotic and Chemical Threats To the Quality and Safety of Agro-Products, Ningbo University, Ningbo, 315211, China. zhanghuajun@nbu.edu.cn.
Zhiyuan YaoSchool of Civil and Environmental Engineering, Ningbo University, Ningbo, 315211, China.
Xiangyu ZhuEnvironmental Monitoring Center of Ningbo, Ningbo, 315010, China.
Demin ZhangState Key Laboratory for Managing Biotic and Chemical Threats To the Quality and Safety of Agro-Products, Ningbo University, Ningbo, 315211, China. zhangdemin@nbu.edu.cn.

Funding

the Fundamental Research Funds for the Provincial Universities of Zhejiang SJLY2020005the National Natural Science Foundation of China 41706132the National Natural Science Foundation of China 42076158
6 · The paper itself

Abstract

Diatom blooms can significantly affect the succession of microbial communities, yet little is known about the assembly processes and interactions of microbial communities during autumn bloom events. In this study, we investigated the ecological effects of an autumn diatom bloom on prokaryotic communities (PCCs) and microeukaryotic communities (MECs), focusing on their assembly processes and interactions. The PCCs were largely dominated by Alphaproteobacteria, Gammaproteobacteria, Cyanobacteria, and Flavobacteria, while the MECs primarily included Diatomea, Dinoflagellata, and Chlorophyta. The succession of both PCCs and MECs was mainly driven by this diatom bloom and environmental factors, such as nitrate and silicate. Null modeling revealed that homogeneous selection had a more pronounced impact on the structure of PCCs compared with that of MECs. In particular, drift and dispersal limitation cannot be neglected in the assembly processes of MECs. Co-occurrence network analyses showed that Litorimicrobium, Cercozoa, Marine Group I (MGI), Cryptomonadales, Myrionecta, and Micromonas may affect the bloom process. In summary, these results elucidated the complex, robust interactions and obviously distinct assembly mechanisms of PCCs and MECs during a diatom bloom and extend our current comprehension of the ecological mechanisms and microbial interactions involved in an autumn diatom bloom process.

Indexed as

AlphaproteobacteriaDiatomsDinoflagellidaGammaproteobacteriaBaysAssembly processesCo-occurrence networkDiatom bloomMicrobial communitiesXiangshan Bay

Identifiers

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Registered trials

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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.