Evidence map›Paper›PMID 36212857›Full record

ArticleFrontiers in microbiology2022

Comparison and interpretation of freshwater bacterial structure and interactions with organic to nutrient imbalances in restored wetlands.

Fuchao Zheng, Tiange Zhang, Shenglai Yin, Ge Qin, Jun Chen, Jinghua Zhang, Dehua Zhao, Xin Leng, Shuqing An, Lu Xia

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Fuchao ZhengSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Tiange ZhangSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Shenglai YinCollege of Life Sciences, Nanjing Normal University, Nanjing, Jiangsu, China.
Ge QinSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Jun ChenSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Jinghua ZhangSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Dehua ZhaoSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Xin LengSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Shuqing AnSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.
Lu XiaSchool of Life Sciences, Institute of Wetland Ecology, Nanjing University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical oxygen demand to nitrogen (COD/N) and nitrogen to phosphorus (N/P) ratios have distinct effects on bacterial community structure and interactions. However, how organic to nutrient imbalances affect the structure of freshwater bacterial assemblages in restored wetlands remains poorly understood. Here, the composition and dominant taxa of bacterial assemblages in four wetlands [low COD/N and high N/P (LH), low COD/N and low N/P (LL), high COD/N and high N/P (HH), and high COD/N and low N/P (HL)] were investigated. A total of 7,709 operational taxonomic units were identified by high throughput sequencing, and Actinobacteria, Proteobacteria, and Cyanobacteria were the most abundant phyla in the restored wetlands. High COD/N significantly increased bacterial diversity and was negatively correlated with N/P (

Indexed as

bacterial assemblagesco-occurrence networknutrient imbalanceorganic matterrestored wetlands

Identifiers

PMID36212857
PMCPMC9533089

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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.