Evidence map›Paper›PMID 40475286›Full record

ArticleCurrent research in microbial sciences2025

Multiple influences on cyanobacterial abundance and diversity in the Beijing-Tianjin-Hebei Economic Circle and nearby areas of China.

Wei Wang, Hanjie Huang, Kangxu Zhao, Junping Lv, Xudong Liu, Shulian Xie, Jia Feng

Abstract read
In one paragraph

Article in Current research in microbial sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Wei WangSchool of Life Science, Shanxi Key Laboratory for Research and Development of Regional Plants, Shanxi University, Taiyuan, 030006, China.
Hanjie HuangSchool of Life Science, Shanxi Key Laboratory for Research and Development of Regional Plants, Shanxi University, Taiyuan, 030006, China.
Kangxu ZhaoSchool of Life Science, Shanxi Key Laboratory for Research and Development of Regional Plants, Shanxi University, Taiyuan, 030006, China.
Junping LvSchool of Life Science, Shanxi Key Laboratory for Research and Development of Regional Plants, Shanxi University, Taiyuan, 030006, China.
Xudong LiuSchool of Life Science, Shanxi Key Laboratory for Research and Development of Regional Plants, Shanxi University, Taiyuan, 030006, China.
Shulian XieSchool of Life Science, Shanxi Key Laboratory for Research and Development of Regional Plants, Shanxi University, Taiyuan, 030006, China.
Jia FengSchool of Life Science, Shanxi Key Laboratory for Research and Development of Regional Plants, Shanxi University, Taiyuan, 030006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there has been a marked increase in the frequency and duration of cyanobacterial blooms, which has attracted widespread attention from all sectors of society. However, the processes and pathways leading to the formation of cyanobacterial blooms are largely stochastic, and a targeted quantitative model incorporating multiple drivers is required. A series of fieldwork and analytical procedures were conducted on 11 lakes in Beijing-Tianjin-Hebei and neighboring regions. The objective of this research was to investigate the effects of location, climate, habitat, metabolism and biology on the abundance of cyanobacteria. The findings indicated that location factors exerted an indirect influence on cyanobacterial density, with a calculated effect size of -0.001. This observation is consistent with the documented prevalence of cyanobacterial bloom outbreaks, suggesting that cyanobacterial abundance is not directly associated with location. Furthermore, the water environment (0.35 indirect and -0.37 direct effects) and climatic conditions (-0.2 indirect and 0.16 direct effects) had significant direct and indirect effects on cyanobacterial cell densities. It was also determined that high nutrients and high temperatures remained the basis for promoting cyanobacterial blooms. It is noteworthy that the microbial community exerted a substantial inhibitory effect on the proliferation of the cyanobacterial community (1.13 direct inhibitory effect). It is hypothesized that the negative effect is derived from two primary sources: the competition for ecological niches by organisms exhibiting similarity, and the direct inhibitory effect of certain bacteria on the growth of cyanobacteria, a negative correlation between acidobacteriota, bacteroide and a variety of cyanobacteria was observed in our study. The effect of specific bacteria is found to be significantly negatively correlated with the prevalence of a wide range of cyanobacteria, which is consistent with the results of many extant studies. These extant studies indicate that the formation of cyanobacterial communities is primarily influenced by microorganisms in the environment. The results of this study will provide new and complementary evidence on the mechanisms of cyanobacterial bloom occurrence and development and the design of management strategies.

Indexed as

Biological processesClimatic geography factorsCyanobacterial community structure and diversityEnvironmental metabolic genesMultifaceted driversPhysical and chemical properties of water bodies

Identifiers

PMID40475286
PMCPMC12139679

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.