Evidence map›Paper›PMID 36865779›Full record

ArticleFrontiers in microbiology2023

Microbial community structural response to variations in physicochemical features of different aquifers.

Heng Dai, Yiyu Zhang, Wen Fang, Juan Liu, Jun Hong, Chaowang Zou, Jin Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 14 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

7 authors at 3 institutions in 1 country.

Heng DaiState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Yiyu ZhangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Wen FangState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Juan LiuState Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan, China.
Jun HongSchool of Environmental Studies, China University of Geosciences, Wuhan, China.
Chaowang ZouHubei Shuili Hydro Power Reconnaissance Design Institute, Wuhan, China.
Jin ZhangState Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Yangtze Institute for Conservation and Development, Hohai University, Nanjing, China.
China University of Geosciences · CNChinese Academy of Sciences · CNHubei Provincial Water Resources and Hydropower Planning Survey and Design Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The community structure of groundwater microorganisms has a significant impact on groundwater quality. However, the relationships between the microbial communities and environmental variables in groundwater of different recharge and disturbance types are not fully understood. Methods: In this study, measurements of groundwater physicochemical parameters and 16S rDNA high-throughput sequencing technology were used to assess the interactions between hydrogeochemical conditions and microbial diversity in Longkou coastal aquifer (LK), Cele arid zone aquifer (CL), and Wuhan riverside hyporheic zone aquifer (WH). Redundancy analysis indicated that the primary chemical parameters affecting the microbial community composition were NO Results: The species and quantity of microorganisms in the river-groundwater interaction area were considerably higher than those in areas with high salinity [Shannon: WH (6.28) > LK (4.11) > CL (3.96); Chao1: WH (4,868) > CL (1510) > LK (1,222)]. Molecular ecological network analysis demonstrated that the change in microbial interactions caused by evaporation was less than that caused by seawater invasion under high-salinity conditions [(nodes, links): LK (71,192) > CL (51,198)], whereas the scale and nodes of the microbial network were greatly expanded under low-salinity conditions [(nodes, links): WH (279,694)]. Microbial community analysis revealed that distinct differences existed in the classification levels of the different dominant microorganism species in the three aquifers. Discussion: Environmental physical and chemical conditions selected the dominant species according to microbial functions.

Indexed as

aquiferchemical-physical analysesgroundwatermicrobial communitiesmultiple locations

Identifiers

PMID36865779
PMCPMC9971630
OpenAlexW4319748022

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.