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Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data

Overview of attention for article published in Microbiome, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 1,790)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

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32 news outlets
blogs
2 blogs
twitter
55 X users
facebook
4 Facebook pages
googleplus
2 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
69 Dimensions

Readers on

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158 Mendeley
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Title
Identification of 76 novel B1 metallo-β-lactamases through large-scale screening of genomic and metagenomic data
Published in
Microbiome, October 2017
DOI 10.1186/s40168-017-0353-8
Pubmed ID
Authors

Fanny Berglund, Nachiket P. Marathe, Tobias Österlund, Johan Bengtsson-Palme, Stathis Kotsakis, Carl-Fredrik Flach, D G Joakim Larsson, Erik Kristiansson

Abstract

Metallo-β-lactamases are bacterial enzymes that provide resistance to carbapenems, the most potent class of antibiotics. These enzymes are commonly encoded on mobile genetic elements, which, together with their broad substrate spectrum and lack of clinically useful inhibitors, make them a particularly problematic class of antibiotic resistance determinants. We hypothesized that there is a large and unexplored reservoir of unknown metallo-β-lactamases, some of which may spread to pathogens, thereby threatening public health. The aim of this study was to identify novel metallo-β-lactamases of class B1, the most clinically important subclass of these enzymes. Based on a new computational method using an optimized hidden Markov model, we analyzed over 10,000 bacterial genomes and plasmids together with more than 5 terabases of metagenomic data to identify novel metallo-β-lactamase genes. In total, 76 novel genes were predicted, forming 59 previously undescribed metallo-β-lactamase gene families. The ability to hydrolyze imipenem in an Escherichia coli host was experimentally confirmed for 18 of the 21 tested genes. Two of the novel B1 metallo-β-lactamase genes contained atypical zinc-binding motifs in their active sites, which were previously undescribed for metallo-β-lactamases. Phylogenetic analysis showed that B1 metallo-β-lactamases could be divided into five major groups based on their evolutionary origin. Our results also show that, except for one, all of the previously characterized mobile B1 β-lactamases are likely to have originated from chromosomal genes present in Shewanella spp. and other Proteobacterial species. This study more than doubles the number of known B1 metallo-β-lactamases. The findings have further elucidated the diversity and evolutionary history of this important class of antibiotic resistance genes and prepare us for some of the challenges that may be faced in clinics in the future.

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 158 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 20%
Researcher 20 13%
Student > Master 15 9%
Student > Doctoral Student 13 8%
Student > Bachelor 11 7%
Other 30 19%
Unknown 37 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 25%
Immunology and Microbiology 20 13%
Agricultural and Biological Sciences 16 10%
Medicine and Dentistry 12 8%
Environmental Science 9 6%
Other 11 7%
Unknown 51 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 276. 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 25 May 2021.
All research outputs
#131,421
of 25,711,518 outputs
Outputs from Microbiome
#35
of 1,790 outputs
Outputs of similar age
#2,768
of 335,119 outputs
Outputs of similar age from Microbiome
#1
of 45 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. This one has done particularly well, scoring higher than 98% 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 335,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.