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The influence of heavy metals, polyaromatic hydrocarbons, and polychlorinated biphenyls pollution on the development of antibiotic resistance in soils

Overview of attention for article published in Environmental Science and Pollution Research, February 2018
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  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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79 Mendeley
Title
The influence of heavy metals, polyaromatic hydrocarbons, and polychlorinated biphenyls pollution on the development of antibiotic resistance in soils
Published in
Environmental Science and Pollution Research, February 2018
DOI 10.1007/s11356-018-1465-9
Pubmed ID
Authors

Andrey Vladimirovich Gorovtsov, Ivan Sergeevich Sazykin, Marina Alexandrovna Sazykina

Abstract

The minireview is devoted to the analysis of the influence of soil pollution with heavy metals, polyaromatic hydrocarbons (PAHs), and the polychlorinated biphenyls (PCBs) on the distribution of antibiotics resistance genes (ARGs) in soil microbiomes. It is shown that the best understanding of ARGs distribution process requires studying the influence of pollutants on this process in natural microbiocenoses. Heavy metals promote co-selection of genes determining resistance to them together with ARGs in the same mobile elements of a bacterial genome, but the majority of studies focus on agricultural soils enriched with ARGs originating from manure. Studying nonagricultural soils would clear mechanisms of ARGs transfer in natural and anthropogenically transformed environments and highlight the role of antibiotic-producing bacteria. PAHs make a considerable shift in soil microbiomes leading to an increase in the number of Actinobacteria which are the source of antibiotics formation and bear multiple ARGs. The soils polluted with PAHs can be a selective medium for bacteria resistant to antibiotics, and the level of ARGs expression is much higher. PCBs are accumulated in soils and significantly alter the specific structure of soil microbiocenoses. In such soils, representatives of the genera Acinetobacter, Pseudomonas, and Alcanivorax dominate, and the ability to degrade PCBs is connected to horizontal gene transfer (HGT) and high level of genomic plasticity. The attention is also focused on the need to study the properties of the soil having an impact on the bioavailability of pollutants and, as a result, on resistome of soil microorganisms.

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Master 13 16%
Student > Ph. D. Student 9 11%
Student > Bachelor 6 8%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 21 27%
Readers by discipline Count As %
Environmental Science 13 16%
Agricultural and Biological Sciences 9 11%
Biochemistry, Genetics and Molecular Biology 6 8%
Engineering 5 6%
Immunology and Microbiology 4 5%
Other 15 19%
Unknown 27 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 February 2018.
All research outputs
#16,223,992
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#3,738
of 9,883 outputs
Outputs of similar age
#220,220
of 340,154 outputs
Outputs of similar age from Environmental Science and Pollution Research
#81
of 221 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,154 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.