Evidence map›Paper›PMID 35638815›Full record

ArticleMicrobiology spectrum2022

Disentangling the Mechanisms Shaping the Prokaryotic Communities in a Eutrophic Bay.

Huajun Zhang, Yi Yan, Tenghui Lin, Weijuan Xie, Jian Hu, Fanrong Hou, Qingxi Han, Xiangyu Zhu, Demin Zhang

Abstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Huajun ZhangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo Universitygrid.203507.3, Ningbo, China.
Yi YanState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo Universitygrid.203507.3, Ningbo, China.
Tenghui LinState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo Universitygrid.203507.3, Ningbo, China.
Weijuan XieKey Laboratory of Applied Marine Biotechnology of Department of Education, Ningbo Universitygrid.203507.3, Ningbo, China.
Jian HuState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo Universitygrid.203507.3, Ningbo, China.
Fanrong HouKey Laboratory of Applied Marine Biotechnology of Department of Education, Ningbo Universitygrid.203507.3, Ningbo, China.
Qingxi HanState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo Universitygrid.203507.3, Ningbo, China.
Xiangyu ZhuEnvironmental Monitoring Center of Ningbo, Ningbo, China.
Demin ZhangState Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Ningbo Universitygrid.203507.3, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eutrophication occurring in coastal bays is prominent in impacting local ecosystem structure and functioning. To understand how coastal bay ecosystem function responds to eutrophication, comprehending the ecological processes associated with microbial community assembly is critical. However, quantifying the contribution of ecological processes to the assembly of prokaryotic communities is still limited in eutrophic waters. Moreover, the influence of these ecological processes on microbial interactions is poorly understood. Here, we examined the assembly processes and co-occurrence patterns of prokaryotic communities in a eutrophic bay using 156 surface seawater samples collected over 12 months. The variation of prokaryotic community compositions (PCCs) could be mainly explained by environmental factors, of which temperature was the most important. Under high environmental heterogeneity conditions in low-temperature seasons, heterogeneous selection was the major assembly process, resulting in high β-diversity and more tightly connected co-occurrence networks. When environmental heterogeneity decreased in high-temperature seasons, drift took over, leading to decline in β-diversity and network associations. Microeukaryotes were found to be important biological factors affecting PCCs. Our results first disentangled the contribution of drift and microbial interactions to the large unexplained variation of prokaryotic communities in eutrophic waters. Furthermore, a new conceptual model linking microbial interactions to ecological processes was proposed under different environmental heterogeneity. Overall, our study sheds new light on the relationship between assembly processes and co-occurrence of prokaryotic communities in eutrophic waters.

Indexed as

BaysMicrobiotaSeasonsSeawatercommunity assemblyco-occurrence networksprokaryotic communitiestemperatureXiangshan Bay

Identifiers

PMID35638815
PMCPMC9241920

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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.