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Combined Analysis of Variation in Core, Accessory and Regulatory Genome Regions Provides a Super-Resolution View into the Evolution of Bacterial Populations

Overview of attention for article published in PLoS Genetics, September 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Citations

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166 Dimensions

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265 Mendeley
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2 CiteULike
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Title
Combined Analysis of Variation in Core, Accessory and Regulatory Genome Regions Provides a Super-Resolution View into the Evolution of Bacterial Populations
Published in
PLoS Genetics, September 2016
DOI 10.1371/journal.pgen.1006280
Pubmed ID
Authors

Alan McNally, Yaara Oren, Darren Kelly, Ben Pascoe, Steven Dunn, Tristan Sreecharan, Minna Vehkala, Niko Välimäki, Michael B. Prentice, Amgad Ashour, Oren Avram, Tal Pupko, Ulrich Dobrindt, Ivan Literak, Sebastian Guenther, Katharina Schaufler, Lothar H. Wieler, Zong Zhiyong, Samuel K. Sheppard, James O. McInerney, Jukka Corander

Abstract

The use of whole-genome phylogenetic analysis has revolutionized our understanding of the evolution and spread of many important bacterial pathogens due to the high resolution view it provides. However, the majority of such analyses do not consider the potential role of accessory genes when inferring evolutionary trajectories. Moreover, the recently discovered importance of the switching of gene regulatory elements suggests that an exhaustive analysis, combining information from core and accessory genes with regulatory elements could provide unparalleled detail of the evolution of a bacterial population. Here we demonstrate this principle by applying it to a worldwide multi-host sample of the important pathogenic E. coli lineage ST131. Our approach reveals the existence of multiple circulating subtypes of the major drug-resistant clade of ST131 and provides the first ever population level evidence of core genome substitutions in gene regulatory regions associated with the acquisition and maintenance of different accessory genome elements.

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 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 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
New Zealand 1 <1%
Canada 1 <1%
Unknown 261 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 58 22%
Student > Ph. D. Student 56 21%
Student > Master 42 16%
Student > Bachelor 22 8%
Student > Doctoral Student 11 4%
Other 29 11%
Unknown 47 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 83 31%
Biochemistry, Genetics and Molecular Biology 56 21%
Immunology and Microbiology 35 13%
Medicine and Dentistry 9 3%
Computer Science 7 3%
Other 18 7%
Unknown 57 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 71. 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 10 April 2024.
All research outputs
#616,662
of 25,711,518 outputs
Outputs from PLoS Genetics
#385
of 8,996 outputs
Outputs of similar age
#11,604
of 332,330 outputs
Outputs of similar age from PLoS Genetics
#17
of 192 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 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,996 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done particularly well, scoring higher than 95% 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 332,330 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 96% of its contemporaries.
We're also able to compare this research output to 192 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 91% of its contemporaries.