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In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes

Overview of attention for article published in BMC Genomics, October 2016
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Title
In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes
Published in
BMC Genomics, October 2016
DOI 10.1186/s12864-016-3185-1
Pubmed ID
Authors

Emilio Siena, Romina D’Aurizio, David Riley, Hervé Tettelin, Silvia Guidotti, Giulia Torricelli, E. Richard Moxon, Duccio Medini

Abstract

The Neisseria meningitidis (Nm) chromosome shows a high abundance of simple sequence DNA repeats (SSRs) that undergo stochastic, reversible mutations at high frequency. This mechanism is reflected in an extensive phenotypic diversity that facilitates Nm adaptation to dynamic environmental changes. To date, phase-variable phenotypes mediated by SSRs variation have been experimentally confirmed for 26 Nm genes. Here we present a population-scale comparative genomic analysis that identified 277 genes and classified them into 52 strong, 60 moderate and 165 weak candidates for phase variation. Deep-coverage DNA sequencing of single colonies grown overnight under non-selective conditions confirmed the presence of high-frequency, stochastic variation in 115 of them, providing circumstantial evidence for their phase variability. We confirmed previous observations of a predominance of variable SSRs within genes for components located on the cell surface or DNA metabolism. However, in addition we identified an unexpectedly broad spectrum of other metabolic functions, and most of the variable SSRs were predicted to induce phenotypic changes by modulating gene expression at a transcriptional level or by producing different protein isoforms rather than mediating on/off translational switching through frameshifts. Investigation of the evolutionary history of SSR contingency loci revealed that these loci were inherited from a Nm ancestor, evolved independently within Nm, or were acquired by Nm through lateral DNA exchange. Overall, our results have identified a broader and qualitatively different phenotypic diversification of SSRs-mediated stochastic variation than previously documented, including its impact on central Nm metabolism.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Researcher 5 26%
Student > Master 3 16%
Professor 1 5%
Other 1 5%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Biochemistry, Genetics and Molecular Biology 5 26%
Medicine and Dentistry 2 11%
Immunology and Microbiology 2 11%
Computer Science 1 5%
Other 0 0%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 September 2017.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Genomics
#7,812
of 10,793 outputs
Outputs of similar age
#227,507
of 316,378 outputs
Outputs of similar age from BMC Genomics
#143
of 224 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.