Evidence map›Paper›PMID 38240967›Full record

ArticleEnvironmental science and pollution research international2024

Diversity, composition, metabolic characteristics, and assembly process of the microbial community in sewer system at the early stage.

Yiming Yuan, Guangyi Zhang, Hongyuan Fang, Haifeng Guo, Yongkang Li, Zezhuang Li, Siwei Peng, Fuming Wang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 65% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Full-length 16S rRNA gene sequencing reveals the operating mode and chlorination-aggravated SWRO biofouling at a nuclear power plant.Water science and technology : a journal of the International Association on Water Pollution Research · 2024
    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

8 authors at 3 institutions in 1 country.

Yiming YuanSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China.
Guangyi ZhangSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China. zhanggy@zzu.edu.cn.
Hongyuan FangSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China.
Haifeng GuoSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China.
Yongkang LiSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China.
Zezhuang LiSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China.
Siwei PengSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China.
Fuming WangSchool of Water Conservancy and Transportation, Zhengzhou University, Kexue Road 100, Zhengzhou, 450001, Henan Province, China.
Zhengzhou University · CNHenan Province Water Conservancy Survey and Design Research · CNYellow River Institute of Hydraulic Research · CN

Funding

National Key R & D Program of China No. 2022YFC3801000National Natural Science Foundation of China No. 51978630National Natural Science Foundation of China No. 52200109Program for Guangdong Introducing Innovative and Enterpreneurial Teams No. 2016ZT06N340Program for Science and Technology Innovation Talents in Universities of Henan Province No. 19HASTIT043
6 · The paper itself

Abstract

Sewer systems play vital roles in wastewater treatment facilities, and the microbial communities contribute significantly to the transformation of domestic wastewater. Therefore, this study conducted a 180-day experiment on a sewer system and utilized the high-throughput sequencing technology to characterize the microbial communities. Additionally, community assembly analysis was performed to understand the early-stage dynamics within the sewer system. The results demonstrated that the overall diversity of microbial communities exhibited fluctuations as the system progressed. The dominant phyla observed were Chloroflexi, Bacteroidetes, Firmicutes, and Proteobacteria, accounting for over 85.4% of the total relative abundances. At the genus level, bacteria associated with fermentation displayed a high relative abundance, particularly during days 75 to 180. A random-forest machine-learning model identified a group of microbes that confirmed the substantial contribution of fermentation. During the process of fermentation, microorganisms predominantly utilized propionate formation as the main pathway for acidogenesis, followed by acetate and butyrate formation. In terms of nitrogen and sulfur cycles, dissimilatory nitrate reduction and assimilatory sulfate reduction played significant roles. Furthermore, stochastic ecological processes had a dominant effect during the experiment. Dispersal limitation primarily governed the assembly process almost the entire experimental period, indicating the strong adaptability and metabolic plasticity of microorganisms in response to environmental variations. This experiment provides valuable insights into the metabolic mechanisms and microbial assembly associated with sewer systems.

Indexed as

BacteriaMicrobiotaBacteroidetesProteobacteriaWastewaterWastewaterCompositionDiversityEarly stageFunction predictionMetabolic processMicrobial assemblyMicrobial communitySewer system

Identifiers

PMID38240967
OpenAlexW4391031300

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.