Evidence map›Paper›PMID 32471344›Full record

ArticleBMC microbiology2020

Co-occurrence pattern and function prediction of bacterial community in Karst cave.

Yiyi Dong, Jie Gao, Qingshan Wu, Yilang Ai, Yu Huang, Wenzhang Wei, Shiyu Sun, Qingbei Weng

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

27 citing papers in PubMed, 52 citations in OpenAlex.

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  15. Characterization and genomic analysis of a lyticFrontiers in microbiology · 2024
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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 at 2 institutions in 1 country.

Yiyi DongSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
Jie GaoCAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, 666303, Yunnan, China.
Qingshan WuSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
Yilang AiSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
Yu HuangSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
Wenzhang WeiSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
Shiyu SunSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, Guizhou, China.
Qingbei WengSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, Guizhou, China. wengqingbei@gznu.edu.cn.
Guizhou Normal University · CNChinese Academy of Sciences · CN

Funding

Provincial Program on Platform and Talent Development of the Department of Science and Technology of Guizhou China 2019-5661, 2019-5617the Joint Fund of the National Natural Science Foundation of China and the Karst Science Research Center of Guizhou Province U1812401
6 · The paper itself

Abstract

backgroundKarst caves are considered as extreme environments with nutrition deficiency, darkness, and oxygen deprivation, and they are also the sources of biodiversity and metabolic pathways. Microorganisms are usually involved in the formation and maintenance of the cave system through various metabolic activities, and are indicators of changes environment influenced by human. Zhijin cave is a typical Karst cave and attracts tourists in China. However, the bacterial diversity and composition of the Karst cave are still unclear. The present study aims to reveal the bacterial diversity and composition in the cave and the potential impact of tourism activities, and better understand the roles and co-occurrence pattern of the bacterial community in the extreme cave habitats.

resultsThe bacterial community consisted of the major Proteobacteria, Actinobacteria, and Firmicutes, with Proteobacteria being the predominant phylum in the rock, soil, and stalactite samples. Compositions and specialized bacterial phyla of the bacterial communities were different among different sample types. The highest diversity index was found in the rock samples with a Shannon index of 4.71. Overall, Zhijin cave has relatively lower diversity than that in natural caves. The prediction of function showed that various enzymes, including ribulose-bisphosphate carboxylase, 4-hydroxybutyryl-CoA dehydratase, nitrogenase NifH, and Nitrite reductase, involved in carbon and nitrogen cycles were detected in Zhijin cave. Additionally, the modularity indices of all co-occurrence network were greater than 0.40 and the species interactions were complex across different sample types. Co-occurring positive interactions in the bacteria groups in different phyla were also observed.

conclusionThese results uncovered that the oligotrophic Zhijin cave maintains the bacterial communities with the diverse metabolic pathways, interdependent and cooperative co-existence patterns. Moreover, as a hotspot for tourism, the composition and diversity of bacterial community are influenced by tourism activities. These afford new insights for further exploring the adaptation of bacteria to extreme environments and the conservation of cave ecosystem.

Indexed as

BacteriaBiodiversityCavesChinaDNA, BacterialDNA, RibosomalHuman ActivitiesHumansMetabolic Networks and PathwaysPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASoil MicrobiologyDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16S16S rRNA geneBacterial communityCo-occurrence networkFunction predictionKarstOligotrophyTourismZhijin cave

Identifiers

PMID32471344
PMCPMC7257168
OpenAlexW3032529279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.