Evidence map›Paper›PMID 33394404›Full record

ArticleEnvironmental science and pollution research international2021

Eukaryotic community diversity and pathogenic eukaryotes in a full-scale drinking water treatment plant determined by 18S rRNA and metagenomic sequencing.

Qi Li, Shuili Yu, Shengfa Yang, Wei Yang, Sisi Que, Wenjie Li, Yu Qin, Weiwei Yu, Hui Jiang, Deqiang Zhao

Abstract read
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In one paragraph

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.4field-weighted citation impact, top 22% 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

0 citing papers in PubMed, 11 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Qi LiNational Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing, 400074, China. liqi@cqjtu.edu.cn.ORCID http://orcid.org/0000-0002-2709-9624
Shuili YuCollege of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China. ysl@tongji.edu.cn.
Shengfa YangNational Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing, 400074, China.
Wei YangNational Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing, 400074, China.
Sisi QueNational Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing, 400074, China.
Wenjie LiNational Inland Waterway Regulation Engineering Research Center, Chongqing Jiaotong University, Chongqing, 400074, China.
Yu QinEngineering Laboratory of Environmental & Hydraulic Engineering, Chongqing Municipal Development and Reform Commission, Chongqing Jiaotong University, Chongqing, 400074, China.
Weiwei YuEngineering Laboratory of Environmental & Hydraulic Engineering, Chongqing Municipal Development and Reform Commission, Chongqing Jiaotong University, Chongqing, 400074, China.
Hui JiangEngineering Laboratory of Environmental & Hydraulic Engineering, Chongqing Municipal Development and Reform Commission, Chongqing Jiaotong University, Chongqing, 400074, China.
Deqiang ZhaoEngineering Laboratory of Environmental & Hydraulic Engineering, Chongqing Municipal Development and Reform Commission, Chongqing Jiaotong University, Chongqing, 400074, China.
Chongqing Jiaotong University · CNTongji University · CN

Funding

Foundation of Key Laboratory of Yangtze River Water Environment, Ministry of Education (Tongji University), China No. YRWEF201903Starting Research Foundation from Chongqing Jiaotong University No. 19JDKJC-A019Starting Research Foundation from Chongqing Jiaotong University No. 19JDKJC-C023the Science and Technology Research Program of Chongqing Municipal Education Commission No. KJQN201900715
6 · The paper itself

Abstract

In this study, 18S rRNA high-throughput sequencing was applied to investigate the eukaryotic community in a full-scale drinking water treatment plant. Eukaryotic species and microbial functions in raw water and filter biofilms were identified by metagenomic sequencing. The eukaryotic species richness and diversity presented declining trends throughout the treatment process. The lowest eukaryotic species richness was observed in disinfected water. Arthropoda, Ciliophora, Ochrophyta, and Rotifera were the dominant eukaryotic phyla and exhibited high variations in relative abundance among the different treatment units. Sedimentation significantly decreased the abundance of all eukaryotes except Arthropoda. Biological activated carbon (BAC) filtration and chlorine disinfection exerted strong effects on community composition. The eukaryotic communities in water were distinct from those in filter biofilms, as were the communities of different filter biofilms from each other. In contrast, communities were functionally similar among different filter biofilms, with the category metabolism being the dominant category represented, within which amino acid transport and metabolism (E) and energy production and conversion (C) dominated among subcategories. Seventy-one eukaryotic species pathogenic to humans were identified in raw water and filter biofilms. Quantitative PCR (qPCR) results showed that Acanthamoeba spp. and Vermamoeba vermiformis were present during some treatment processes, with concentrations of 12-1.2 × 10

Indexed as

Drinking WaterWater PurificationBiofilmsEukaryotaHumansMetagenomeRNA, Ribosomal, 18SDrinking WaterRNA, Ribosomal, 18SDrinking water treatment processesEukaryotic communityFilter biofilmHigh-throughput sequencingPathogenic eukaryotesqPCR

Identifiers

PMID33394404
OpenAlexW3119600269

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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.