Evidence map›Paper›PMID 29357075›Full record

ArticleEnvironmental science and pollution research international2018

Bacterial community structure and abundances of antibiotic resistance genes in heavy metals contaminated agricultural soil.

Fengli Zhang, Xiaoxue Zhao, Qingbo Li, Jia Liu, Jizhe Ding, Huiying Wu, Zongsheng Zhao, Yue Ba, Xuemin Cheng, Liuxin Cui and 2 more

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Exopolysaccharide Carbohydrate Structure and Biofilm Formation byInternational journal of molecular sciences · 2021
    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

12 authors.

Fengli ZhangCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Xiaoxue ZhaoJiyuan City Key Laboratory of Heavy-Metal Monitoring and Pollution Control, Jiyuan, 459000, China.
Qingbo LiCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Jia LiuDepartment of Leukemia, Henan Cancer Hospital, Zhengzhou, 450003, China.
Jizhe DingCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Huiying WuCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Zongsheng ZhaoJiyuan City Key Laboratory of Heavy-Metal Monitoring and Pollution Control, Jiyuan, 459000, China.
Yue BaCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Xuemin ChengCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Liuxin CuiCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Hongping LiCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China.
Jingyuan ZhuCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, China. yuanzhu@zzu.edu.cn.

Funding

National Natural Science Youth Foundation of China 81202174
6 · The paper itself

Abstract

Soil contamination with heavy metals is a worldwide problem especially in China. The interrelation of soil bacterial community structure, antibiotic resistance genes, and heavy metal contamination in soil is still unclear. Here, seven agricultural areas (G1-G7) with heavy metal contamination were sampled with different distances (741 to 2556 m) to the factory. Denaturing gradient gel electrophoresis (DGGE) and Shannon index were used to analyze bacterial community diversity. Real-time fluorescence quantitative PCR was used to detect the relative abundance of ARGs sul1, sul2, tetA, tetM, tetW, one mobile genetic elements (MGE) inti1. Results showed that all samples were polluted by Cadmium (Cd), and some of them were polluted by lead (Pb), mercury (Hg), arsenic (As), copper (Cu), and zinc (Zn). DGGE showed that the most abundant bacterial species were found in G7 with the lightest heavy metal contamination. The results of the principal component analysis and clustering analysis both showed that G7 could not be classified with other samples. The relative abundance of sul1 was correlated with Cu, Zn concentration. Gene sul2 are positively related with total phosphorus, and tetM was associated with organic matter. Total gene abundances and relative abundance of inti1 both correlated with organic matter. Redundancy analysis showed that Zn and sul2 were significantly related with bacterial community structure. Together, our results indicate a complex linkage between soil heavy metal concentration, bacterial community composition, and some global disseminated ARG abundance.

Indexed as

AgricultureArsenicCadmiumChinaCopperDrug Resistance, MicrobialMetals, HeavySoilSoil MicrobiologyZincArsenicCadmiumCopperMetals, HeavySoilZincAgricultural soilAntibiotic resistance genesBacterial communityDenaturing gradient gel electrophoresisHeavy metalReal-time fluorescence quantitative PCR

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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.