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Local transmission and global dissemination of New Delhi Metallo-Beta-Lactamase (NDM): a whole genome analysis

Overview of attention for article published in BMC Genomics, June 2016
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Title
Local transmission and global dissemination of New Delhi Metallo-Beta-Lactamase (NDM): a whole genome analysis
Published in
BMC Genomics, June 2016
DOI 10.1186/s12864-016-2740-0
Pubmed ID
Authors

Wei Xin Khong, Eryu Xia, Kalisvar Marimuthu, Wenting Xu, Yik-Ying Teo, Eng Lee Tan, Shiyong Neo, Prabha Unny Krishnan, Brenda S. P. Ang, David C. B. Lye, Angela L. P. Chow, Rick Twee-Hee Ong, Oon Tek Ng

Abstract

New Delhi metallo-β-lactamase (bla NDM), a plasmid-borne carbapenemase gene associated with significant mortality and severely limited treatment options, is of global public health concern as it is found in extremely diverse Gram-negative bacterial strains. This study thus aims to genetically characterize local and global spread of bla NDM. To investigate local transmission patterns in the context of a single hospital, whole genome sequencing data of the first 11 bla NDM-positive bacteria isolated in a local hospital were analyzed to: (1) identify and compare bla NDM-positive plasmids; and (2) study the phylogenetic relationship of the bacteria chromosomes. The global analysis was conducted by analyzing 2749 complete plasmid sequences (including 39 bla NDM-positive plasmids) in the NCBI database, where: (1) the plasmids were clustered based on their gene composition similarity; (2) phylogenetic study was conducted for each bla NDM-positive plasmid cluster to infer the phylogenetic relationship within each cluster; (3) gene transposition events introducing bla NDM into different plasmid backbones were identified; and (4) clustering pattern was correlated with the plasmids' incompatibility group and geographical distribution. Analysis of the first 11 bla NDM-positive isolates from a single hospital revealed very low bla NDM-positive plasmid diversity. Local transmission was characterized by clonal spread of a predominant plasmid with 2 sporadic instances of plasmid introduction. In contrast to the low diversity locally, global bla NDM spread involved marked plasmid diversity with no predominant bacterial clone. Thirty-nine (1.4 %) out of the 2749 complete plasmid sequences were bla NDM-positive, and could be resolved into 7 clusters, which were associated with plasmid incompatibility group and geographical distribution. The bla NDM gene module was witnessed to mobilize between different plasmid backbones on at least 6 independent occasions. Our analysis revealed the complex genetic pathways of bla NDM spread, with global dissemination characterized mainly by transposition of the bla NDM gene cassette into varied plasmids. Early local transmission following plasmid introduction is characterized by plasmid conjugation and bacterial spread. Our findings emphasize the importance of plasmid molecular epidemiology in understanding bla NDM spread.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Bachelor 8 14%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Student > Ph. D. Student 4 7%
Other 9 16%
Unknown 16 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 14%
Agricultural and Biological Sciences 6 11%
Medicine and Dentistry 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Immunology and Microbiology 4 7%
Other 10 18%
Unknown 19 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 September 2017.
All research outputs
#12,960,778
of 22,877,793 outputs
Outputs from BMC Genomics
#4,577
of 10,665 outputs
Outputs of similar age
#176,976
of 352,763 outputs
Outputs of similar age from BMC Genomics
#73
of 176 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,665 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 352,763 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 176 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 56% of its contemporaries.