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Genome-wide mosaicism within Mycobacterium abscessus: evolutionary and epidemiological implications

Overview of attention for article published in BMC Genomics, February 2016
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Title
Genome-wide mosaicism within Mycobacterium abscessus: evolutionary and epidemiological implications
Published in
BMC Genomics, February 2016
DOI 10.1186/s12864-016-2448-1
Pubmed ID
Authors

Guillaume Sapriel, Julie Konjek, Mickael Orgeur, Laurent Bouri, Lise Frézal, Anne-Laure Roux, Emilie Dumas, Roland Brosch, Christiane Bouchier, Sylvain Brisse, Mathias Vandenbogaert, Jean-Michel Thiberge, Valérie Caro, Yun Fong Ngeow, Joon Liang Tan, Jean-Louis Herrmann, Jean-Louis Gaillard, Beate Heym, Thierry Wirth

Abstract

In mycobacteria, conjugation differs from the canonical Hfr model, but is still poorly understood. Here, we quantified this evolutionary processe in a natural mycobacterial population, taking advantage of a large clinical strain collection of the emerging pathogen Mycobacterium abscessus (MAB). Multilocus sequence typing confirmed the existence of three M. abscessus subspecies, and unravelled extensive allelic exchange between them. Furthermore, an asymmetrical gene flow occurring between these main lineages was detected, resulting in highly admixed strains. Intriguingly, these mosaic strains were significantly associated with cystic fibrosis patients with lung infections or chronic colonization. Genome sequencing of those hybrid strains confirmed that half of their genomic content was remodelled in large genomic blocks, leading to original tri-modal 'patchwork' architecture. One of these hybrid strains acquired a locus conferring inducible macrolide resistance, and a large genomic insertion from a slowly growing pathogenic mycobacteria, suggesting an adaptive gene transfer. This atypical genomic architecture of the highly recombinogenic strains is consistent with the distributive conjugal transfer (DCT) observed in M. smegmatis. Intriguingly, no known DCT function was found in M. abscessus chromosome, however, a p-RAW-like genetic element was detected in one of the highly admixed strains. Taken together, our results strongly suggest that MAB evolution is sporadically punctuated by dramatic genome wide remodelling events. These findings might have far reaching epidemiological consequences for emerging mycobacterial pathogens survey in the context of increasing numbers of rapidly growing mycobacteria and M. tuberculosis co-infections.

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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 %
Student > Ph. D. Student 15 19%
Student > Master 13 16%
Student > Bachelor 8 10%
Researcher 8 10%
Student > Postgraduate 5 6%
Other 11 14%
Unknown 19 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 20%
Agricultural and Biological Sciences 15 19%
Medicine and Dentistry 13 16%
Immunology and Microbiology 10 13%
Chemistry 2 3%
Other 3 4%
Unknown 20 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 March 2016.
All research outputs
#7,373,201
of 22,849,304 outputs
Outputs from BMC Genomics
#3,548
of 10,656 outputs
Outputs of similar age
#103,514
of 297,955 outputs
Outputs of similar age from BMC Genomics
#96
of 258 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,656 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 66% 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 297,955 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 65% of its contemporaries.
We're also able to compare this research output to 258 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 62% of its contemporaries.