Evidence map›Paper›PMID 36612703›Full record

ArticleInternational journal of environmental research and public health2022

Bacterial Community Composition and Function of Tropical River Ecosystem along the Nandu River on Hainan Island, China.

Jinbiao Li, Yangni Zhai, Guojian Ge, Yang Xu, Can Wang, Anyong Hu, Yujie Han, Nan Shan, Bo Liu, Jinlin Chen and 1 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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. Microbial Community Succession Sustains Fish Diversity in the Upper Yangtze River Reserve.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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.

Jinbiao LiSchool of Geographic Science, Nantong University, Nantong 226019, China.
Yangni ZhaiSchool of Geographic Science, Nantong University, Nantong 226019, China.
Guojian GeSchool of Geographic Science, Nantong University, Nantong 226019, China.
Yang XuSchool of Geographic Science, Nantong University, Nantong 226019, China.
Can WangSchool of Geographic Science, Nantong University, Nantong 226019, China.
Anyong HuSchool of Geographic Science, Nantong University, Nantong 226019, China.ORCID 0000-0003-1308-914X
Yujie HanSchool of Geographic Science, Nantong University, Nantong 226019, China.
Nan ShanNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.
Bo LiuSchool of Geographic Science, Nantong University, Nantong 226019, China.
Jinlin ChenCo-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China.
Wenlin WangNanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms play a pivotal role in nutrient cycling in aquatic ecosystems. Understanding bacterial diversity and its functional composition are crucial for aquatic ecology and protection. We investigated the bacterial community structure using 16S rRNA gene amplicons high-throughput sequencing in this study. Results showed that 105 amplicon sequence variants (ASVs) account for 43.8% of the total sequences shared by the Nandu River's lower, middle, and upper reach and the Songtao Reservoir. The dominant bacterial phylum in the Nandu River and its connected Songtao Reservoir were Proteobacteria and Actinobacteriota, respectively. The highest Chao1 and Shannon index values were found in the lower reach of the Nandu River. Beta diversity analysis showed the divergence in bacterial communities in the Nandu River and Songtao Reservoir, but not in different reaches. Among the water properties, based on the Mantel test, dissolved oxygen, total nitrogen, and nitrite significantly affected the bacterial communities. The functional profiles predicted by Tax4Fun2 showed that metabolism was the most abundant function group. The relative abundance of genetic information processing was significantly higher in the Songtao Reservoir than in the Nandu River, while the relative abundance of human diseases was significantly lower in the Songtao Reservoir than in the Nandu River. The appearance of the xenobiotics biodegradation and metabolism function group requires us to pay more attention to possible water pollution, especially at the upper reach of the Nandu River.

Indexed as

EcosystemRiversBacteriaChinaHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16Sbacterial diversityfunction predictionhigh-throughput sequencingtropical river

Identifiers

PMID36612703
PMCPMC9819888

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Registered trials

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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.