Evidence map›Paper›PMID 31780738›Full record

ArticleScientific reports2019

Variations in microbial community structure and functional gene expression in bio-treatment processes with odorous pollutants.

Weidong Li, Jianguo Ni, Shaoqin Cai, Ying Liu, Chenjia Shen, Huayun Yang, Yuquan Chen, Jia Tao, Yunfeng Yu, Qi Liu

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
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

10 authors at 1 institution in 1 country.

Weidong LiCollege of Qianjiang, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.ORCID http://orcid.org/0000-0003-4446-1119
Jianguo NiHangzhou Ecological Environment Bureau of Xiaoshan Branch, Hangzhou, 311201, Zhejiang, People's Republic of China.
Shaoqin CaiCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Ying LiuCollege 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.
Huayun YangCollege of Qianjiang, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Yuquan ChenCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Jia TaoCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Yunfeng YuCollege of Life and Environmental Science, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China.
Qi LiuCollege of Qianjiang, Hangzhou Normal University, Hangzhou, 310036, Zhejiang, People's Republic of China. qiliu@hznu.edu.cn.
Hangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineered microbial ecosystems in biofilters have been widely applied to treat odorous gases from industrial emissions. Variations in microbial community structure and function associated with the removal of odorous gases by biofilters are largely unknown. This study performed a metagenomic analysis to discover shifts in microbial community structures in a commercial scale biofilter after treating odorous gas. Our study identified 175,675 functional genes assigned into 43 functional KEGG pathways. Based on the unigene sequences, there were significant changes in microbial community structures in the biofilter after treating odorous gas. The dominant genera were Thiobacillus and Oceanicaulis before the treatment, and were Acidithiobacillus and Ferroplasma after the treatment. A clustering analysis showed that the number of down-regulated microbes exceeded the number of up-regulated microbes, suggesting that odorous gas treatment reduced in microbial community structures. A differential expression analysis identified 29,975 up- and 452,599 down-regulated genes. An enrichment analysis showed 17 classic types of xenobiotic biodegradation pathways. The results identified 16 and 15 genes involved in ammonia and sulfite metabolism, respectively; an analysis of their relative abundance identified several up-regulated genes, which may be efficient genes involved in removing odorous gases. The data provided in this study demonstrate the changes in microbial communities and help identify the dominant microflora and genes that play key roles in treating odorous gases.

Indexed as

Gene Expression Regulation, BacterialGenes, BacterialMicrobiotaAcidithiobacillusAir PollutantsBiodegradation, EnvironmentalGenetic VariationIndustrial MicrobiologyThiobacillusXenobioticsAir PollutantsXenobiotics

Identifiers

PMID31780738
PMCPMC6883040
OpenAlexW2990267430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.