Evidence map›Paper›PMID 27040536›Full record

ArticleEnvironmental science and pollution research international2016

Response of bacterial community compositions to different sources of pollutants in sediments of a tributary of Taihu Lake, China.

Jing Wang, Yi Li, Peifang Wang, Lihua Niu, Wenlong Zhang, Chao Wang

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Article in Environmental science and pollution research international, 2016. 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
–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

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.

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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

6 authors.

Jing WangKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Xikang Road #1, Nanjing, 210098, People's Republic of China.
Yi LiKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Xikang Road #1, Nanjing, 210098, People's Republic of China. envly@hhu.edu.cn.
Peifang WangKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Xikang Road #1, Nanjing, 210098, People's Republic of China.
Lihua NiuKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Xikang Road #1, Nanjing, 210098, People's Republic of China. Nlhnq55@163.com.
Wenlong ZhangKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Xikang Road #1, Nanjing, 210098, People's Republic of China.
Chao WangKey Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Xikang Road #1, Nanjing, 210098, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sediment bacterial communities are sensitive to water conditions in river ecosystems. The objective of this study was to compare the influences of different pollution sources, including urban areas, wastewater treatment plants (WWTPs), suburban areas, and agricultural areas, on sediment bacterial communities along a typical tributary of Taihu Lake, China. The dominant composition of the sediment bacterial community was determined using a combination of terminal restriction fragment length polymorphism (T-RFLP) and a 16S rRNA clone library. The results showed that the sediment bacterial communities were distinctly affected by the four pollution sources. Alphaproteobacteria, Betaproteobacteria, and Actinobacteria (>50 % in total) were the predominant bacterial taxa across the sediment samples. Apart from those, the sediment bacterial community composition (BCC) affected by WWTP effluent was subsequently dominated by Nitrospira (12.4 %) and Bacteroidetes (11.5 %), agriculture was dominated by Firmicutes (13.2 %) and Deltaproteobacteria (7.2 %), while urban and suburban were dominated by Bacteroidetes (7.6 and 7.9 %, respectively) and Deltaproteobacteria (7.9 and 7.6 %, respectively). Cluster analysis indicated that the BCC affected by WWTP effluent was distinct from the BCC in urban, suburban, and agricultural areas. In addition, the bacterial community richness and evenness affected by WWTP effluent were much less than those by the other pollution sources. Redundancy analysis (RDA) indicated that the variation in BCC across the sediment samples was significantly associated with ammonium (17 %), organic matter (12 %), and cadmium (3 %) (p < 0.01). Overall, the results indicated that the four different pollution sources (WWTP, urban, suburban, and agriculture) have dissimilar impacts on the sediment BCC in the tributary of Taihu Lake, while WWTPs exhibited the greatest potential to lead to biotic homogenization in river sediments.

Indexed as

Water MicrobiologyBacteriaChinaEcosystemGeologic SedimentsLakesPolymorphism, Restriction Fragment LengthRiversRNA, BacterialRNA, Ribosomal, 16SWastewaterWater Pollutants, ChemicalRNA, BacterialRNA, Ribosomal, 16SWastewaterWater Pollutants, ChemicalAgricultureBacterial communityRiver ecosystemSedimentSuburbanUrbanWastewater treatment plant

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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.