Evidence map›Paper›PMID 35110663›Full record

ArticleScientific reports2022

Metagenomic analysis of microbial community structure and function in a improved biofilter with odorous gases.

Jianguo Ni, Huayun Yang, Liqing Chen, Jiadong Xu, Liangwei Zheng, Guojian Xie, Chenjia Shen, Weidong Li, Qi Liu

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

9 authors.

Jianguo Ni *College of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Huayun Yang *College of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Liqing ChenCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Jiadong XuTaizhou Pollution Prevention and Control Engineering Technology Center, Taizhou, 318000, Zhejiang, People's Republic of China.
Liangwei ZhengTaizhou Ecological Environment Bureau of Linhai Branch, Taizhou, 317000, Zhejiang, People's Republic of China.
Guojian XieCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Chenjia ShenCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Weidong LiCollege of Qianjiang, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Qi LiuCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China. qiliu@hznu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilters have been broadly applied to degrade the odorous gases from industrial emissions. A industrial scale biofilter was set up to treat the odorous gases. To explore biofilter potentials, the microbial community structure and function must be well defined. Using of improved biofilter, the differences in microbial community structures and functions in biofilters before and after treatment were investigated by metagenomic analysis. Odorous gases have the potential to alter the microbial community structure in the sludge of biofilter. A total of 90,016 genes assigned into various functional metabolic pathways were identified. In the improved biofilter, the dominant phyla were Proteobacteria, Planctomycetes, and Chloroflexi, and the dominant genera were Thioalkalivibrio, Thauera, and Pseudomonas. Several xenobiotic biodegradation-related pathways showed significant changes during the treatment process. Compared with the original biofilter, Thermotogae and Crenarchaeota phyla were significantly enriched in the improved biofilter, suggesting their important role in nitrogen-fixing. Furthermore, several nitrogen metabolic pathway-related genes, such as nirA and nifA, and sulfur metabolic pathway-related genes, such as fccB and phsA, were considered to be efficient genes that were involved in removing odorous gases. Our findings can be used for improving the efficiency of biofilter and helping the industrial enterprises to reduce the emission of waste gases.

Indexed as

MetagenomeMetagenomicsMicrobiotaAmmoniaBiodegradation, EnvironmentalBiosolidsFiltrationGasesHydrogen SulfideIndustrial WasteOdorantsPhylogenySewageAmmoniaBiosolidsGasesHydrogen SulfideIndustrial WasteSewage

Identifiers

PMID35110663
PMCPMC8810771

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Registered trials

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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.