Evidence map›Paper›PMID 32795344›Full record

ArticleBMC microbiology2020

Impact of long-term industrial contamination on the bacterial communities in urban river sediments.

Lei Zhang, Demei Tu, Xingchen Li, Wenxuan Lu, Jing Li

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 48 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

5 authors at 2 institutions in 1 country.

Lei ZhangSchool of Civil Engineering and Architecture, Chuzhou University, 1 West Huifeng Road, Chuzhou, 239000, China. leizhang2014@163.com.
Demei TuSchool of Civil Engineering and Architecture, Chuzhou University, 1 West Huifeng Road, Chuzhou, 239000, China.
Xingchen LiSchool of Civil Engineering and Architecture, Chuzhou University, 1 West Huifeng Road, Chuzhou, 239000, China.
Wenxuan LuFisheries Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230036, China.
Jing LiFisheries Research Institute, Anhui Academy of Agricultural Sciences, Hefei, 230036, China.
Chuzhou University · CNAnhui Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe contamination of the aquatic environment of urban rivers with industrial wastewater has affected the abiotic conditions and biological activities of the trophic levels of the ecosystem, particularly sediments. However, most current research about microorganism in urban aquatic environments has focused on indicator bacteria related to feces and organic pollution. Meanwhile, they ignored the interactions among microorganisms. To deeply understand the impact of industrial contamination on microbial community, we study the bacterial community structure and diversity in river sediments under the influence of different types of industrial pollution by Illumina MiSeq high-throughput sequencing technology and conduct a more detailed analysis of microbial community structure through co-occurrence networks.

resultsThe overall community composition and abundance of individual bacterial groups differed between samples. In addition, redundancy analysis indicated that the structure of the bacterial community in river sediments was influenced by a variety of environmental factors. TN, TP, TOC and metals (Cu, Zn and Cd) were the most important driving factors that determined the bacterial community in urban river sediments (P < 0.01). According to PICRUSt analysis, the bacterial communities in different locations had similar overall functional profiles. It is worth noting that the 15 functional genes related to xenobiotics biodegradation and metabolism were the most abundant in the same location. The non-random assembly patterns of bacterial composition in different types of industrially polluted sediments were determined by a co-occurrence network. Environmental conditions resulting from different industrial pollutants may play an important role in determining their co-occurrence patterns of these bacterial taxa. Among them, the bacterial taxa involved in carbon and nitrogen cycles in module I were relatively abundant, and the bacterial taxa in module II were involved in the repair of metal pollution.

conclusionsOur data indicate that long-term potential interactions between different types of industrial pollution and taxa collectively affect the structure of the bacterial community in urban river sediments.

Indexed as

BacteriaCadmiumChinaCopperDNA, BacterialDNA, RibosomalHigh-Throughput Nucleotide SequencingIndustrial WasteMicrobiotaPhylogenyRiversRNA, Ribosomal, 16SSequence Analysis, DNAUrban HealthWater Pollutants, ChemicalZincCadmiumCopperDNA, BacterialDNA, RibosomalIndustrial WasteRNA, Ribosomal, 16SWater Pollutants, ChemicalZincBacterial communityCo–occurrence networkEnvironmental factorsIndustrial pollutionUrban river

Identifiers

PMID32795344
PMCPMC7427966
OpenAlexW3049067494

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.