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Key Transitions in the Evolution of Rapid and Slow Growing Mycobacteria Identified by Comparative Genomics

Overview of attention for article published in Frontiers in Microbiology, January 2020
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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14 X users
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2 Wikipedia pages

Citations

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31 Dimensions

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86 Mendeley
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Title
Key Transitions in the Evolution of Rapid and Slow Growing Mycobacteria Identified by Comparative Genomics
Published in
Frontiers in Microbiology, January 2020
DOI 10.3389/fmicb.2019.03019
Pubmed ID
Authors

Nathan L. Bachmann, Rauf Salamzade, Abigail L. Manson, Richard Whittington, Vitali Sintchenko, Ashlee M. Earl, Ben J. Marais

Abstract

Mycobacteria have been classified into rapid and slow growing phenotypes, but the genetic factors that underlie these growth rate differences are not well understood. We compared the genomes of 157 mycobacterial species, representing all major branches of the mycobacterial phylogenetic tree to identify genes and operons enriched among rapid and slow growing mycobacteria. Overlaying growth phenotype on a phylogenetic tree based on 304 core genes suggested that ancestral mycobacteria had a rapid growth phenotype with a single major evolutionary separation into rapid and slow growing sub-genera. We identified 293 genes enriched among rapid growing sub-genera, including genes encoding for amino acid transport/metabolism (e.g., livFGMH operon) and transcription, as well as novel ABC transporters. Loss of the livFGMH and ABC transporter operons among slow growing species suggests that reduced cellular amino acid transport may be growth limiting. Comparative genomic analysis suggests that horizontal gene transfer, from non-mycobacterial genera, may have contributed to niche adaptation and pathogenicity, especially among slow growing species. Interestingly, the mammalian cell entry (mce) operon was found to be ubiquitous, irrespective of growth phenotype or pathogenicity, although protein sequence homology between rapid and slow growing species was low (<50%). This suggests that the mce operon was present in ancestral rapid growing species, but later adapted by slow growing species for use as a mechanism to establish an intra-cellular lifestyle.

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X Demographics

The data shown below were collected from the profiles of 14 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Student > Master 10 12%
Researcher 10 12%
Student > Doctoral Student 8 9%
Student > Bachelor 5 6%
Other 7 8%
Unknown 34 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 16%
Immunology and Microbiology 12 14%
Agricultural and Biological Sciences 9 10%
Medicine and Dentistry 7 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Other 9 10%
Unknown 32 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 23 March 2023.
All research outputs
#2,815,762
of 24,469,913 outputs
Outputs from Frontiers in Microbiology
#2,291
of 27,730 outputs
Outputs of similar age
#65,525
of 465,613 outputs
Outputs of similar age from Frontiers in Microbiology
#63
of 658 outputs
Altmetric has tracked 24,469,913 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,730 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 91% 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 465,613 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 85% of its contemporaries.
We're also able to compare this research output to 658 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 90% of its contemporaries.