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Use of single molecule sequencing for comparative genomics of an environmental and a clinical isolate of Clostridium difficile ribotype 078

Overview of attention for article published in BMC Genomics, December 2016
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Use of single molecule sequencing for comparative genomics of an environmental and a clinical isolate of Clostridium difficile ribotype 078
Published in
BMC Genomics, December 2016
DOI 10.1186/s12864-016-3346-2
Pubmed ID
Authors

Katherine R. Hargreaves, Anisha M. Thanki, Bethany R. Jose, Marco R. Oggioni, Martha R. J. Clokie

Abstract

How the pathogen Clostridium difficile might survive, evolve and be transferred between reservoirs within the natural environment is poorly understood. Some ribotypes are found both in clinical and environmental settings. Whether these strains are distinct from each another and evolve in the specific environments is not established. The possession of a highly mobile genome has contributed to the genetic diversity and ongoing evolution of C. difficile. Interpretations of genetic diversity have been limited by fragmented assemblies resulting from short-read length sequencing approaches and by a limited understanding of epigenetic regulation of diversity. To address this, single molecule real time (SMRT) sequencing was used in this study as it produces high quality genome sequences, with resolution of repeat regions (including those found in mobile elements) and can generate data to determine methylation modifications across the sequence (the methylome). Chromosomal rearrangements and ribosomal operon duplications were observed in both genomes. The rearrangements occurred at insertion sites within two mobile genetic elements (MGEs), Tn6164 and Tn6293, present only in the M120 and CD105HS27 genomes, respectively. The gene content of these two transposons differ considerably which could impact upon horizontal gene transfer; differences include CDSs encoding methylases and a conjugative prophage only in Tn6164. To investigate mechanisms which could affect MGE transfer, the methylome, restriction modification (RM)  and the CRISPR/Cas systems were characterised for each strain. Notably, the environmental isolate, CD105HS27, does not share a consensus motif for (m4)C methylation, but has one additional spacer  when compared to the clinical isolate M120. These findings show key differences between the two strains in terms of their genetic capacity for MGE transfer. The carriage of horizontally transferred genes appear to have genome wide effects based on two different methylation patterns. The CRISPR/Cas system appears active although perhaps slow to evolve. Data suggests that both mechanisms are functional and impact upon horizontal gene transfer and genome evolution within C. difficile.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
New Zealand 1 2%
United States 1 2%
Egypt 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 26%
Researcher 7 16%
Student > Ph. D. Student 5 12%
Professor 4 9%
Other 3 7%
Other 5 12%
Unknown 8 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 33%
Biochemistry, Genetics and Molecular Biology 10 23%
Medicine and Dentistry 4 9%
Immunology and Microbiology 2 5%
Computer Science 1 2%
Other 3 7%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 August 2017.
All research outputs
#6,100,461
of 22,914,829 outputs
Outputs from BMC Genomics
#2,586
of 10,676 outputs
Outputs of similar age
#112,431
of 420,158 outputs
Outputs of similar age from BMC Genomics
#67
of 241 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,676 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 75% 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 420,158 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 73% of its contemporaries.
We're also able to compare this research output to 241 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 72% of its contemporaries.