Evidence map›Paper›PMID 37938733›Full record

ArticleISME communications2022

Disruption and recovery of river planktonic community during and after the COVID-19 outbreak in Wuhan, China.

Junwen Chen, Weixiao Qi, Donglin Wang, Qiaojuan Wang, Hui Lin, Guannan Mao, Jinsong Liang, Xue Ning, Yaohui Bai, Huijuan Liu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ISME communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Junwen Chen *Center for Water and Ecology, Tsinghua University, Beijing, 100084, China.
Weixiao Qi *Center for Water and Ecology, Tsinghua University, Beijing, 100084, China.
Donglin Wang *Key Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Qiaojuan WangKey Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Hui LinKey Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Guannan MaoKey Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
Jinsong LiangSchool of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, 518055, China.
Xue NingMaREI Centre, Environmental Research Institute, School of Engineering, University College Cork, Cork, T23XE10, Ireland.
Yaohui BaiKey Laboratory of Drinking Water Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China. yhbai@rcees.ac.cn.ORCID http://orcid.org/0000-0002-2086-4477
Huijuan LiuCenter for Water and Ecology, Tsinghua University, Beijing, 100084, China.
Jiuhui QuCenter for Water and Ecology, Tsinghua University, Beijing, 100084, China. jhqu@tsinghua.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) No.52091542National Natural Science Foundation of China (National Science Foundation of China) No.52170156State Key Joint Laboratory of Environmental Simulation and Pollution Control (State Key Laboratory of Environmental Simulation and Pollution Control) No. 21Z03ESPCRState Key Joint Laboratory of Environmental Simulation and Pollution Control (State Key Laboratory of Environmental Simulation and Pollution Control) No.21Z03ESPCR
6 · The paper itself

Abstract

During the COVID-19 outbreak in Wuhan, large amounts of anti-coronavirus chemicals, such as antiviral drugs and disinfectants were discharged into the surrounding aquatic ecosystem, causing potential ecological damage. Here, we investigated plankton in the Wuhan reaches of the Yangtze River, before, during, and after COVID-19, with the river reaches of three adjacent cities sampled for comparison. During the COVID-19, planktonic microbial density declined significantly. Correspondingly, the eukaryotic and prokaryotic community compositions and functions shifted markedly, with increasing abundance of chlorine-resistant organisms. Abundance of antibiotic resistance genes, virulence factor genes, and bacteria containing both genes increased by 2.3-, 2.7-, and 7.9-fold, respectively, compared to other periods. After COVID-19, all measured plankton community compositional and functional traits recovered in the Yangtze River.

Identifiers

PMID37938733
PMCPMC9483884

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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.