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

BACKGROUND: 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 environmenta...

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Autores principales: Siena, Emilio, D’Aurizio, Romina, Riley, David, Tettelin, Hervé, Guidotti, Silvia, Torricelli, Giulia, Moxon, E. Richard, Medini, Duccio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084427/
https://www.ncbi.nlm.nih.gov/pubmed/27793092
http://dx.doi.org/10.1186/s12864-016-3185-1
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author Siena, Emilio
D’Aurizio, Romina
Riley, David
Tettelin, Hervé
Guidotti, Silvia
Torricelli, Giulia
Moxon, E. Richard
Medini, Duccio
author_facet Siena, Emilio
D’Aurizio, Romina
Riley, David
Tettelin, Hervé
Guidotti, Silvia
Torricelli, Giulia
Moxon, E. Richard
Medini, Duccio
author_sort Siena, Emilio
collection PubMed
description BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3185-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-50844272016-10-31 In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes Siena, Emilio D’Aurizio, Romina Riley, David Tettelin, Hervé Guidotti, Silvia Torricelli, Giulia Moxon, E. Richard Medini, Duccio BMC Genomics Research Article BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3185-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-28 /pmc/articles/PMC5084427/ /pubmed/27793092 http://dx.doi.org/10.1186/s12864-016-3185-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Siena, Emilio
D’Aurizio, Romina
Riley, David
Tettelin, Hervé
Guidotti, Silvia
Torricelli, Giulia
Moxon, E. Richard
Medini, Duccio
In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes
title In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes
title_full In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes
title_fullStr In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes
title_full_unstemmed In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes
title_short In-silico prediction and deep-DNA sequencing validation indicate phase variation in 115 Neisseria meningitidis genes
title_sort in-silico prediction and deep-dna sequencing validation indicate phase variation in 115 neisseria meningitidis genes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084427/
https://www.ncbi.nlm.nih.gov/pubmed/27793092
http://dx.doi.org/10.1186/s12864-016-3185-1
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