Evidence map›Paper›PMID 33755841›Full record

ArticleEcotoxicology (London, England)2021

High-throughput sequencing reveals the spatial distribution variability of microbial community in coastal waters in Shenzhen.

Rui Zhang, Yu Liu, Xianfeng Zhao, Zhihui Zhao, Honglian Zhang, Xiaoping Huang, Weiqing Xu, Yuchun Shen, Wensheng Lan

Abstract read
PubMed Publisher
In one paragraph

Article in Ecotoxicology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular Diagnostic Tools Applied for Assessing Microbial Water Quality.International journal of environmental research and public health · 2022
    Review
  4. 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

9 authors at 2 institutions in 1 country.

Rui Zhang *Shenzhen Institute of Guangdong Ocean University, Shenzhen, 518108, Guangdong, PR China.
Yu Liu *Shenzhen Institute of Guangdong Ocean University, Shenzhen, 518108, Guangdong, PR China.
Xianfeng ZhaoShenzhen R&D Key Laboratory of Alien Pest Detection Technology, The Shenzhen Academy of Science and Technology for Inspection and Quarantine, Technology Center for Animal and Plant Inspection and Quarantine, Shenzhen Customs, Shenzhen, 518045, Guangdong, PR China.
Zhihui ZhaoCollege of Agriculture, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, PR China.
Honglian ZhangShenzhen Institute of Guangdong Ocean University, Shenzhen, 518108, Guangdong, PR China.
Xiaoping HuangShenzhen Institute of Guangdong Ocean University, Shenzhen, 518108, Guangdong, PR China.
Weiqing XuShenzhen Institute of Guangdong Ocean University, Shenzhen, 518108, Guangdong, PR China.
Yuchun ShenShenzhen Institute of Guangdong Ocean University, Shenzhen, 518108, Guangdong, PR China.
Wensheng LanShenzhen R&D Key Laboratory of Alien Pest Detection Technology, The Shenzhen Academy of Science and Technology for Inspection and Quarantine, Technology Center for Animal and Plant Inspection and Quarantine, Shenzhen Customs, Shenzhen, 518045, Guangdong, PR China. lanwshao@163.com.ORCID http://orcid.org/0000-0002-0462-6276
Guangdong Ocean University · CNShenzhen Academy of Inspection and Quarantine · CN

Funding

Shenzhen Scientific Project Fund JCYJ20140722112616608
6 · The paper itself

Abstract

Seashore habitats are located between terrestrial and marine ecosystems, which are a hotspot for anthropogenic impacts. Shenzhen is one of the most developed cities in south China, but the microbial functions of its coastal ecosystems remain poorly understood. The study applied 16S rRNA gene sequencing methods to identify the bacterial community from twenty sites of Shenzhen inshore waters. The microbial structure of the samples between eastern Shenzhen and western Shenzhen seashores is notably different, suggesting the spatial variability. Proteobacteria, Cyanobacteria, Actinobacteria, and Bacteroidetes were dominant phyla in the community, and the relative abundance of Bacteroidetes was significantly higher in eastern seashores. Specifically, samples from western Shenzhen contained much more Prochlorococcus, while Synechococcus was more abundant in eastern samples. Moreover, the metabolism of terpenoids and polyketides, and transport and catabolism were significantly more abundant in eastern samples, while antibiotic-resistant pathways were enriched in western samples. The results have important significance to understand bacterial ecosystem of coastal water and promote water quality management and protection activity in Shenzhen. This study can also help developing an optimal strategy for the green economy development and the policy planning of Guangdong-Hong Kong-Macao Greater Bay Area.

Indexed as

CyanobacteriaMicrobiotaHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SWater QualityRNA, Ribosomal, 16S16S rRNA geneBacterial communityCoastal watersHigh-throughput sequencing

Identifiers

PMID33755841
OpenAlexW3137237752

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.