Evidence map›Paper›PMID 38602397›Full record

ArticleMicrobiology spectrum2024

Bacterial and fungal community structures in Hulun Lake are regulated by both stochastic processes and environmental factors.

Yongquan Shang, Xibao Wang, Xiaoyang Wu, Huashan Dou, Qinguo Wei, Qi Wang, Gang Liu, Guolei Sun, Lidong Wang, Honghai Zhang

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.0field-weighted citation impact, top 5% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Yongquan Shang *School of Life Sciences, Qufu Normal University, Qufu, Shandong, China.ORCID 0000-0001-6536-3126
Xibao Wang *School of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Xiaoyang Wu *School of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Huashan DouHulunbuir Academy of Inland Lakes in Northern Cold & Arid Areas, Hulunbuir, China.
Qinguo WeiSchool of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Qi WangHulunbuir Academy of Inland Lakes in Northern Cold & Arid Areas, Hulunbuir, China.
Gang LiuSchool of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Guolei SunSchool of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Lidong WangSchool of Life Sciences, Qufu Normal University, Qufu, Shandong, China.
Honghai ZhangSchool of Life Sciences, Qufu Normal University, Qufu, Shandong, China.ORCID 0000-0002-5010-2502
Qufu Normal University · CNHulunbuir University · CN

Funding

MOST | National Natural Science Foundation of China (NSFC) 32001228MOST | National Natural Science Foundation of China (NSFC) 32070405MOST | National Natural Science Foundation of China (NSFC) 32270444Youth Innovation Team in Colleges and Universities of Shandong Province 2022KJ177
6 · The paper itself

Abstract

Microorganisms are a crucial component of lake ecosystems and significant contributors to biogeochemical cycles. However, the understanding of how primary microorganism groups (e.g., bacteria and fungi) are distributed and constructed within different lake habitats is lacking. We investigated the bacterial and fungal communities of Hulun Lake using high-throughput sequencing techniques targeting 16S rRNA and Internal Transcribed Spacer 2 genes, including a range of ecological and statistical methodologies. Our findings reveal that environmental factors have high spatial and temporal variability. The composition and community structures vary significantly depending on differences in habitats. Variance partitioning analysis showed that environmental and geographical factors accounted for <20% of the community variation. Canonical correlation analysis showed that among the environmental factors, temperature, pH, and dissolved oxygen had strong control over microbial communities. However, the microbial communities (bacterial and fungal) were primarily controlled by the dispersal limitations of stochastic processes. This study offers fresh perspectives regarding the maintenance mechanism of bacterial and fungal biodiversity in lake ecosystems, especially regarding the responses of microbial communities under identical environmental stress.IMPORTANCELake ecosystems are an important part of the freshwater ecosystem. Lake microorganisms play an important role in material circulation and energy flow owing to their unique enzymatic and metabolic capacity. In this study, we observed that bacterial and fungal communities varied widely in the water and sediments of Hulun Lake. The primary factor affecting their formation was identified as dispersal limitation during stochastic processes. Environmental and geographical factors accounted for <20% of the variation in bacterial and fungal communities, with pH, temperature, and dissolved oxygen being important environmental factors. Our findings provide new insights into the responses of bacteria and fungi to the environment, shed light on the ecological processes of community building, and deepen our understanding of lake ecosystems. The results of this study provide a reference for lake management and conservation, particularly with respect to monitoring and understanding microbial communities in response to environmental changes.

Indexed as

BacteriaBiodiversityFungiLakesMicrobiotaChinaEcosystemHydrogen-Ion ConcentrationMycobiomeRNA, Ribosomal, 16SStochastic ProcessesTemperatureRNA, Ribosomal, 16Sbacterial communitycommunity assemblyfungal communityHulun Lakesedimentwater

Identifiers

PMID38602397
PMCPMC11064641
OpenAlexW4394727026

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.