Evidence map›Paper›PMID 36254385›Full record

ArticleWater environment research : a research publication of the Water Environment Federation2022

Effects of green tide on microbial communities in waters of the Jiangsu coastal area, China.

Yiming Yuan, Biyun Luo, Zhien Li, Yanlong He, Lihua Xia, Yutao Qin, Teng Wang, Keyi Ma

Abstract read
In one paragraph

Article in Water environment research : a research publication of the Water Environment Federation, 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. Effects of green tide on microbial communities in waters of the Jiangsu coastal area, China.Water environment research : a research publication of the Water Environment Federation · 2022
    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.

Yiming YuanKey Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center of State Oceanic Administration, Shanghai, China.
Biyun LuoKey Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, China.ORCID https://orcid.org/0000-0003-3386-3673
Zhien LiKey Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center of State Oceanic Administration, Shanghai, China.
Yanlong HeKey Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center of State Oceanic Administration, Shanghai, China.
Lihua XiaKey Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center of State Oceanic Administration, Shanghai, China.
Yutao QinKey Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center of State Oceanic Administration, Shanghai, China.
Teng WangKey Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR, East China Sea Environmental Monitoring Center of State Oceanic Administration, Shanghai, China.
Keyi MaKey Laboratory of Freshwater Aquatic Genetic Resources, Ministry of Agriculture, Shanghai Collaborative Innovation for Aquatic Animal Genetics and Breeding, Shanghai Ocean University, Shanghai, China.

Funding

Key Laboratory of Marine Ecological Monitoring and Restoration Technologies, MNR MATHAB201926National Key Research and Development Plan 2018YFC1407404Youth Fund Project of East China Sea Bureau of the Ministry of Natural Resources 2019001
6 · The paper itself

Abstract

Recently, green tide outbreaks have resulted in severe coastal ecology and economic effects in China. Jiangsu coastal areas are usually the site of early green tide outbreaks. To clarify the effects of green tide outbreaks in Jiangsu coastal areas, this study analyzed microbial communities during green tide-free and green tide outbreak periods (May and July, respectively) through 16S rDNA sequencing. Sequences were clustered into 4117 operational taxonomic units (OTUs), 1044 and 3834 of which were obtained from the May and July groups, respectively. Redundancy analysis indicated that green tide occurrence was closely associated with the temperature, pH, and concentrations of various nutrients. Diversity analysis revealed that the July group had a richer microbial community than the May group, in agreement with the results of propagule culture. Moreover, comparative analysis revealed that samples in the May and July groups clustered together. According to Megan analysis, the May group had much more Psychrobacter, Sulfitobacter, and Marinomonas than the July group, whereas the other genera were predominantly found in July, such as Ascidiacerhabitans, Synechococcus Hydrotalea, and Burkholderia-Paraburkholderia. These findings suggest that green tide outbreaks affect marine microbial communities, and detecting the changes in the identified genera during green tide outbreaks may contribute to green tide forecasting. PRACTITIONER POINTS: Jiangsu coastal areas are usually the site of early green tide outbreaks. Green tide occurrence was related to the concentrations of various nutrients. Microbial species and community structure significantly changed after green tide outbreak.

Indexed as

MicrobiotaUlvaChinaDNA, RibosomalEcologyEutrophicationDNA, Ribosomal16S rDNAgreen tidemacroalgaemicrobial communitySouthern Yellow Sea

Identifiers

PMID36254385
PMCPMC9828100

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.