Evidence map›Paper›PMID 34608579›Full record

ArticleEnvironmental science and pollution research international2022

Identification of groundwater microbial communities and their connection to the hydrochemical environment in southern Laizhou Bay, China.

Fan Yang, Sen Liu, Chao Jia, Yujue Wang

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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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

4 authors.

Fan YangInstitute of Marine Science and Technology, Shandong University, Binhai Road No. 72, Qingdao, 266237, Shandong, China.
Sen LiuInstitute of Marine Science and Technology, Shandong University, Binhai Road No. 72, Qingdao, 266237, Shandong, China. sen_liu@sdu.edu.cn.
Chao JiaInstitute of Marine Science and Technology, Shandong University, Binhai Road No. 72, Qingdao, 266237, Shandong, China. jiachao@sdu.edu.cn.
Yujue WangState Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, China.

Funding

Fundamental Research Funds of Shandong University 2019GN057National Science Foundation of China 42007166Open Research Fund of State Key Laboratory of Estuarine and Coastal Research SKLEC-KF202010
6 · The paper itself

Abstract

The microbial community plays an important role in the biogeochemical cycle in coastal groundwater ecosystems. However, the composition and controlling factors of the microbial community in coastal closed groundwater systems (CCGSs) with high salinity have rarely been studied. Here, we investigated and analyzed the hydrochemical characteristics and microbial community composition of seven brine samples with high total dissolved solid (TDS) values ranging from 74.5 to 132.3 g/L within and across three coastal saltworks (Yangkou, Hanting, and Changyi) in southern Laizhou Bay (SLB). The bacterial diversity was independent of salinity. Compared with those of low-salinity groundwater, the diversity of the microbial community in brine was lower, but the richness was slightly higher. There was a significant correlation between the microbial community diversity and groundwater sources, which indicated that the microbial communities were affected by groundwater sources. A comparison of the microbial community compositions of the three saltworks showed that the Hanting and Changyi saltworks had similar microbial communities due to their similar sampling depths. In addition, the main force shaping the differences in the microbial communities in both coastal open groundwater systems (COGSs) and CCGSs was identified as the hydraulic connection with the seawater controlled by hydrogeological conditions formed throughout geological history. This study can help to elucidate the biogeochemical processes in coastal aquifers.

Indexed as

GroundwaterMicrobiotaBaysChinaEnvironmental MonitoringSalinitySeawaterCoastal closed groundwater systemGroundwater sourceHydrogeological conditionsMicrobial community

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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.