Evidence map›Paper›PMID 34941731›Full record

ArticleToxins2021

Temporal Patterns of Bacterial and Viral Communities during Algae Blooms of a Reservoir in Macau.

Dini Hu, John P Giesy, Min Guo, Wai Kin Ung, Yijun Kong, Kai Meng Mok, Simon Ming-Yuen Lee

Abstract read
In one paragraph

Article in Toxins, 2021. 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
–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

1 citing paper in PubMed.

  1. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.International journal of environmental research and public health · 2022
    Review
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

7 authors.

Dini HuDepartment of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.ORCID 0000-0001-7784-3469
John P GiesyDepartment of Veterinary Biomedical Sciences and Toxicology Centre, College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N5B3, Canada.ORCID 0000-0003-1931-9962
Min GuoState Key Laboratory of Quality Research in Chinese Medicine and Institute of Chinese Medical Sciences, University of Macau, Macau SAR, China.ORCID 0000-0002-6329-7839
Wai Kin UngLaboratory & Research Center, Macao Water Supply Co. Ltd., Conselheiro Borja, Macau SAR, China.
Yijun KongLaboratory & Research Center, Macao Water Supply Co. Ltd., Conselheiro Borja, Macau SAR, China.
Kai Meng MokDepartment of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.
Simon Ming-Yuen LeeState Key Laboratory of Quality Research in Chinese Medicine and Institute of Chinese Medical Sciences, University of Macau, Macau SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compositions of microbial communities associated with blooms of algae in a storage reservoir in Macau, China were investigated between 2013 and 2016. Algae were enumerated by visible light microscopy. Profiles of organisms in water were examined by 16S rRNA sequences and viral metagenomics, based on next generation sequencing. Results of 16S rRNA sequencing indicated that majority of the identified organisms were bacteria closely related to Proteobacteria, Cyanobacteria, Verrucomicrobia, Bacteroidetes, and Actinobacteria. Metagenomics sequences demonstrated that the dominant virus was

Indexed as

EutrophicationWater MicrobiologyBacteriaBiodiversityEnvironmental MonitoringMacauRNA, Ribosomal, 16SVirusesRNA, Ribosomal, 16Salgal virusesAsiacyanobacteriahazardous algal bloomphytoplanktonviral metagenomics

Identifiers

PMID34941731
PMCPMC8704429

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.