Evidence map›Paper›PMID 33772473›Full record

ArticleEnvironmental science and pollution research international2021

Bacterial community compositions and nitrogen metabolism function in a cattle farm wastewater treatment plant revealed by Illumina high-throughput sequencing.

Weizhi Yan, Na Wang, Dong Wei, Chengyu Liang, Xiaomiao Chen, Li Liu, Jiping Shi

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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

7 authors.

Weizhi YanShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Na WangShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Dong WeiShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Chengyu LiangShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Xiaomiao ChenShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China.
Li LiuShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China. liul@sari.ac.cn.ORCID http://orcid.org/0000-0003-0449-2789
Jiping ShiShanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, China. shijp@sari.ac.cn.

Funding

Fujian Province and Chinese Academy of Sciences STS Project SERC2020A03National Key Research and Development Program of China 2018YFC1901000Shanghai Engineering Research Center of Biotransformation of Organic Solid Waste Program 2019T3027
6 · The paper itself

Abstract

Bacteria play an important role in pollutant transformation in activated sludge-based wastewater treatment plants (WWTPs). Exploring the microbial community structure and diversity is essential to improving the performance of wastewater treatment processes. This study employed Illumina MiSeq high-throughput sequencing to investigate the microbial community composition and diversity in a cattle farm wastewater treatment plant (Cf-WWTP). The results showed that the dominant phyla in the whole process were Proteobacteria, Bacteroidetes, and Firmicutes. The principal coordinate analysis (PCoA) indicated that the different stages had a significant impact on the microbial community structure; Bacteroidetes was the dominant phylum in the anearobic stage and Proteobacteria was the dominant phylum in the anoxic-oxic stage. Redundancy analysis (RDA) revealed that total phosphorus (TP) was the most significant factor that regulated the microbial community composition, followed by chemical oxygen demand (COD), total nitrogen (TN), and pH. Proteobacteria, Patescibacteria, and Chloroflexi were simultaneously negatively correlated with TN, COD, and TP. Nitrogen metabolic pathway and transformation mechanism was elucidated by a complete denitrification function predicted with phylogenetic investigation of communities with reconstruction of unobserved states (PICRUSt), as well as detection of ammonia-oxidizing bacteria (AOB) and nitrite-oxidizing bacteria (NOB). These results provide new insights into our understanding of microbial community and metabolic functions of Cf-WWTP.

Indexed as

WastewaterWater PurificationAnimalsBacteriaBioreactorsCattleFarmsHigh-Throughput Nucleotide SequencingNitrogenPhylogenySewageNitrogenSewageWastewaterCattle farm wastewaterEnvironmental factorsIllumina MiSeq high-throughput sequencingMetabolic functionsMicrobial diversity

Identifiers

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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.