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Identification of diverse antibiotic resistant bacteria in agricultural soil with H218O stable isotope probing combined with high-throughput sequencing

Overview of attention for article published in Environmental Microbiome, April 2023
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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13 X users

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Title
Identification of diverse antibiotic resistant bacteria in agricultural soil with H218O stable isotope probing combined with high-throughput sequencing
Published in
Environmental Microbiome, April 2023
DOI 10.1186/s40793-023-00489-7
Pubmed ID
Authors

Marcela Hernández, Shamik Roy, C. William Keevil, Marc G. Dumont

Abstract

We aimed to identify bacteria able to grow in the presence of several antibiotics including the ultra-broad-spectrum antibiotic meropenem in a British agricultural soil by combining DNA stable isotope probing (SIP) with high throughput sequencing. Soil was incubated with cefotaxime, meropenem, ciprofloxacin and trimethoprim in 18O-water. Metagenomes and the V4 region of the 16S rRNA gene from the labelled "heavy" and the unlabelled "light" SIP fractions were sequenced. An increase of the 16S rRNA copy numbers in the "heavy" fractions of the treatments with 18O-water compared with their controls was detected. The treatments resulted in differences in the community composition of bacteria. Members of the phyla Acidobacteriota (formally Acidobacteria) were highly abundant after two days of incubation with antibiotics. Pseudomonadota (formally Proteobacteria) including Stenotrophomonas were prominent after four days of incubation. Furthermore, a metagenome-assembled genome (MAG-1) from the genus Stenotrophomonas (90.7% complete) was retrieved from the heavy fraction. Finally, 11 antimicrobial resistance genes (ARGs) were identified in the unbinned-assembled heavy fractions, and 10 ARGs were identified in MAG-1. In comparison, only two ARGs from the unbinned-assembled light fractions were identified. The results indicate that both non-pathogenic soil-dwelling bacteria as well as potential clinical pathogens are present in this agricultural soil and several ARGs were identified from the labelled communities, but it is still unclear if horizontal gene transfer between these groups can occur.

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The data shown below were collected from the profiles of 13 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 10%
Student > Doctoral Student 2 10%
Student > Ph. D. Student 2 10%
Student > Bachelor 1 5%
Researcher 1 5%
Other 0 0%
Unknown 12 60%
Readers by discipline Count As %
Immunology and Microbiology 4 20%
Agricultural and Biological Sciences 1 5%
Earth and Planetary Sciences 1 5%
Materials Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 12 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 May 2023.
All research outputs
#4,924,979
of 25,830,005 outputs
Outputs from Environmental Microbiome
#140
of 802 outputs
Outputs of similar age
#93,098
of 417,590 outputs
Outputs of similar age from Environmental Microbiome
#10
of 32 outputs
Altmetric has tracked 25,830,005 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 802 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 82% of its peers.
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 417,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 32 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 68% of its contemporaries.