Evidence map›Paper›PMID 24477925›Full record

ArticleMicrobial ecology2014

Characterization of bacterial communities in sediments receiving various wastewater effluents with high-throughput sequencing analysis.

Xiao-Ming Lu, Peng-Zhen Lu

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 77 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

2 authors at 2 institutions in 1 country.

Xiao-Ming LuInstitute for Eco-environmental Sciences, Wenzhou Vocational College of Science & Technology, Wenzhou, 325006, People's Republic of China, 13736961468@163.com.
Peng-Zhen Lu
Wenzhou Vocational College of Science and Technology · CNZhejiang University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

454 Pyrosequencing was applied to examine bacterial communities in sediment samples collected from a river receiving effluent discharge from rural domestic sewage (RDS) and various factories, including a tannery (TNS), clothing plant (CTS), and button factory (BTS), respectively. For each sample, 4,510 effective sequences were selected and utilized to do the bacterial diversity and abundance analysis, respectively. In total, 1,288, 2,036, 1,800, and 2,150 operational taxonomic units were obtained at 3% distance cutoff in TNS, CTS, BTS, and RDS, respectively. Bacterial phylotype richness in RDS was higher than the other samples, and TNS had the least richness. The most predominant class in the TNS, CTS, and BTS samples is Betaproteobacteria. Cyanobacteria (no_rank) is the most predominant one in the RDS sample. Circa 31% sequences in TNS were affiliated with the Rhodocyclales order. In the four samples, Aeromonas, Arcobacter, Clostridium, Legionella, Leptospira, Mycobacterium, Pseudomonas, and Treponema genera containing pathogenic bacteria were detected. Characterization of bacterial communities in sediments from various downstream branches indicated that distinct wastewater effluents have similar potential to reduce the natural variability in river ecosystems and contribute to the river biotic homogenization.

Indexed as

BiodiversityBacteriaChinaGeologic SedimentsMolecular Sequence DataRiversSequence Analysis, DNAWastewaterWastewater

Identifiers

PMID24477925
OpenAlexW1982614997

What OpenQuestion holds

Textmetadata
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.