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Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis

Overview of attention for article published in BMC Genomics, March 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

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80 Dimensions

Readers on

mendeley
207 Mendeley
citeulike
2 CiteULike
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Title
Comparative analysis of mycobacterium and related actinomycetes yields insight into the evolution of mycobacterium tuberculosis pathogenesis
Published in
BMC Genomics, March 2012
DOI 10.1186/1471-2164-13-120
Pubmed ID
Authors

Abigail Manson McGuire, Brian Weiner, Sang Tae Park, Ilan Wapinski, Sahadevan Raman, Gregory Dolganov, Matthew Peterson, Robert Riley, Jeremy Zucker, Thomas Abeel, Jared White, Peter Sisk, Christian Stolte, Mike Koehrsen, Robert T Yamamoto, Milena Iacobelli-Martinez, Matthew J Kidd, Andreia M Maer, Gary K Schoolnik, Aviv Regev, James Galagan

Abstract

The sequence of the pathogen Mycobacterium tuberculosis (Mtb) strain H37Rv has been available for over a decade, but the biology of the pathogen remains poorly understood. Genome sequences from other Mtb strains and closely related bacteria present an opportunity to apply the power of comparative genomics to understand the evolution of Mtb pathogenesis. We conducted a comparative analysis using 31 genomes from the Tuberculosis Database (TBDB.org), including 8 strains of Mtb and M. bovis, 11 additional Mycobacteria, 4 Corynebacteria, 2 Streptomyces, Rhodococcus jostii RHA1, Nocardia farcinia, Acidothermus cellulolyticus, Rhodobacter sphaeroides, Propionibacterium acnes, and Bifidobacterium longum. Our results highlight the functional importance of lipid metabolism and its regulation, and reveal variation between the evolutionary profiles of genes implicated in saturated and unsaturated fatty acid metabolism. It also suggests that DNA repair and molybdopterin cofactors are important in pathogenic Mycobacteria. By analyzing sequence conservation and gene expression data, we identify nearly 400 conserved noncoding regions. These include 37 predicted promoter regulatory motifs, of which 14 correspond to previously validated motifs, as well as 50 potential noncoding RNAs, of which we experimentally confirm the expression of four. Our analysis of protein evolution highlights gene families that are associated with the adaptation of environmental Mycobacteria to obligate pathogenesis. These families include fatty acid metabolism, DNA repair, and molybdopterin biosynthesis. Our analysis reinforces recent findings suggesting that small noncoding RNAs are more common in Mycobacteria than previously expected. Our data provide a foundation for understanding the genome and biology of Mtb in a comparative context, and are available online and through TBDB.org.

X Demographics

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 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Canada 2 <1%
United Kingdom 2 <1%
Indonesia 1 <1%
Italy 1 <1%
Netherlands 1 <1%
Germany 1 <1%
Mexico 1 <1%
Sweden 1 <1%
Other 0 0%
Unknown 194 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 24%
Researcher 34 16%
Student > Master 24 12%
Student > Bachelor 16 8%
Student > Doctoral Student 11 5%
Other 40 19%
Unknown 32 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 35%
Biochemistry, Genetics and Molecular Biology 39 19%
Immunology and Microbiology 15 7%
Medicine and Dentistry 12 6%
Computer Science 5 2%
Other 25 12%
Unknown 39 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 12 April 2014.
All research outputs
#2,827,329
of 25,373,627 outputs
Outputs from BMC Genomics
#851
of 11,244 outputs
Outputs of similar age
#17,030
of 172,587 outputs
Outputs of similar age from BMC Genomics
#3
of 86 outputs
Altmetric has tracked 25,373,627 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 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 92% 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 172,587 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 90% of its contemporaries.
We're also able to compare this research output to 86 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 96% of its contemporaries.