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Trophic level and proteobacteria abundance drive antibiotic resistance levels in fish from coastal New England

Overview of attention for article published in Animal Microbiome, March 2023
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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18 Mendeley
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Title
Trophic level and proteobacteria abundance drive antibiotic resistance levels in fish from coastal New England
Published in
Animal Microbiome, March 2023
DOI 10.1186/s42523-023-00236-w
Pubmed ID
Authors

Benjamin J. Korry, Peter Belenky

Abstract

The natural marine environment represents a vast reservoir of antimicrobial resistant bacteria. The wildlife that inhabits this environment plays an important role as the host to these bacteria and in the dissemination of resistance. The relationship between host diet, phylogeny, and trophic level and the microbiome/resistome in marine fish is not fully understood. To further explore this relationship, we utilize shotgun metagenomic sequencing to define the gastrointestinal tract microbiomes of seven different marine vertebrates collected in coastal New England waters. We identify inter and intraspecies differences in the gut microbiota of these wild marine fish populations. Furthermore, we find an association between antibiotic resistance genes and host dietary guild, which suggests that higher trophic level organisms have a greater abundance of resistance genes. Additionally, we demonstrate that antibiotic resistance gene burden is positively correlated with Proteobacteria abundance in the microbiome. Lastly, we identify dietary signatures within the gut of these fish and find evidence of possible dietary selection for bacteria with specific carbohydrate utilization potential. This work establishes a link between host lifestyle/dietary guild, and microbiome composition and the abundance of antibiotic resistance genes within the gastrointestinal tract of marine organisms. We expand the current understanding of marine organism-associated microbial communities and their role as reservoirs of antimicrobial resistance genes.

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X Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 17%
Unspecified 2 11%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Unspecified 2 11%
Agricultural and Biological Sciences 2 11%
Environmental Science 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Other 3 17%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 September 2023.
All research outputs
#14,584,289
of 24,469,913 outputs
Outputs from Animal Microbiome
#185
of 261 outputs
Outputs of similar age
#180,029
of 409,215 outputs
Outputs of similar age from Animal Microbiome
#11
of 19 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 261 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 26th percentile – i.e., 26% 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 409,215 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.