Evidence map›Paper›PMID 27759010›Full record

ArticleScientific reports2016

Bacterial abundance and diversity in pond water supplied with different feeds.

Ya Qin, Jie Hou, Ming Deng, Quansheng Liu, Chongwei Wu, Yingjie Ji, Xugang He

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  8. The Relationship betweenAnimals : an open access journal from MDPI · 2022
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  15. Evaluating tannery wastewater treatment performance based on physicochemical and microbiological characteristics: An Ethiopian case study.Water environment research : a research publication of the Water Environment Federation · 2021
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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.

Ya QinFisheries College, Huazhong Agricultural University, Wuhan 430070, China.
Jie HouFisheries College, Huazhong Agricultural University, Wuhan 430070, China.
Ming DengFisheries College, Huazhong Agricultural University, Wuhan 430070, China.
Quansheng LiuFisheries College, Huazhong Agricultural University, Wuhan 430070, China.
Chongwei WuFisheries College, Huazhong Agricultural University, Wuhan 430070, China.
Yingjie JiFisheries College, Huazhong Agricultural University, Wuhan 430070, China.
Xugang HeFisheries College, Huazhong Agricultural University, Wuhan 430070, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The abundance and diversity of bacteria in two types of ponds were investigated by quantitative PCR and Illumina MiSeq sequencing. The results revealed that the abundance of bacterial 16S rRNA genes in D ponds (with grass carp fed sudan grass) was significantly lower than that in E ponds (with grass carp fed commercial feed). The microbial communities were dominated by Proteobacteria, Cyanobacteria, Bacteroidetes, and Actinobacteria in both E and D ponds, while the abundance of some genera was significantly different between the two types of ponds. Specifically, some potential pathogens such as Acinetobacter and Aeromonas were found to be significantly decreased, while some probiotics such as Comamonadaceae unclassified and Bacillales unclassified were significantly increased in D ponds. In addition, water quality of D ponds was better than that of E ponds. Temperature, dissolved oxygen and nutrients had significant influence on bacterial communities. The differences in bacterial community compositions between the two types of ponds could be partially explained by the different water conditions.

Indexed as

PhylogenyWater MicrobiologyActinobacteriaBacteroidetesCyanobacteriaPondsProteobacteriaRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID27759010
PMCPMC5069485

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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.