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Identification of genetic relationships and subspecies signatures in Xylella fastidiosa

BACKGROUND: The phytopathogenic bacterium Xylella fastidiosa was thought to be restricted to the Americas where it infects and kills numerous hosts. Its detection worldwide has been blooming since 2013 in Europe and Asia. Genetically diverse, this species is divided into six subspecies but genetic t...

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Autores principales: Denancé, Nicolas, Briand, Martial, Gaborieau, Romain, Gaillard, Sylvain, Jacques, Marie-Agnès
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434890/
https://www.ncbi.nlm.nih.gov/pubmed/30909861
http://dx.doi.org/10.1186/s12864-019-5565-9
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author Denancé, Nicolas
Briand, Martial
Gaborieau, Romain
Gaillard, Sylvain
Jacques, Marie-Agnès
author_facet Denancé, Nicolas
Briand, Martial
Gaborieau, Romain
Gaillard, Sylvain
Jacques, Marie-Agnès
author_sort Denancé, Nicolas
collection PubMed
description BACKGROUND: The phytopathogenic bacterium Xylella fastidiosa was thought to be restricted to the Americas where it infects and kills numerous hosts. Its detection worldwide has been blooming since 2013 in Europe and Asia. Genetically diverse, this species is divided into six subspecies but genetic traits governing this classification are poorly understood. RESULTS: SkIf (Specific k-mers Identification) was designed and exploited for comparative genomics on a dataset of 46 X. fastidiosa genomes, including seven newly sequenced individuals. It was helpful to quickly check the synonymy between strains from different collections. SkIf identified specific SNPs within 16S rRNA sequences that can be employed for predicting the distribution of Xylella through data mining. Applied to inter- and intra-subspecies analyses, it identified specific k-mers in genes affiliated to differential gene ontologies. Chemotaxis-related genes more prevalently possess specific k-mers in genomes from subspecies fastidiosa, morus and sandyi taken as a whole group. In the subspecies pauca increased abundance of specific k-mers was found in genes associated with the bacterial cell wall/envelope/plasma membrane. Most often, the k-mer specificity occurred in core genes with non-synonymous SNPs in their sequences in genomes of the other subspecies, suggesting putative impact in the protein functions. The presence of two integrative and conjugative elements (ICEs) was identified, one chromosomic and an entire plasmid in a single strain of X. fastidiosa subsp. pauca. Finally, a revised taxonomy of X. fastidiosa into three major clades defined by the subspecies pauca (clade I), multiplex (clade II) and the combination of fastidiosa, morus and sandyi (clade III) was strongly supported by k-mers specifically associated with these subspecies. CONCLUSIONS: SkIf is a robust and rapid software, freely available, that can be dedicated to the comparison of sequence datasets and is applicable to any field of research. Applied to X. fastidiosa, an emerging pathogen in Europe, it provided an important resource to mine for identifying genetic markers of subspecies to optimize the strategies attempted to limit the pathogen dissemination in novel areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5565-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-64348902019-04-08 Identification of genetic relationships and subspecies signatures in Xylella fastidiosa Denancé, Nicolas Briand, Martial Gaborieau, Romain Gaillard, Sylvain Jacques, Marie-Agnès BMC Genomics Research Article BACKGROUND: The phytopathogenic bacterium Xylella fastidiosa was thought to be restricted to the Americas where it infects and kills numerous hosts. Its detection worldwide has been blooming since 2013 in Europe and Asia. Genetically diverse, this species is divided into six subspecies but genetic traits governing this classification are poorly understood. RESULTS: SkIf (Specific k-mers Identification) was designed and exploited for comparative genomics on a dataset of 46 X. fastidiosa genomes, including seven newly sequenced individuals. It was helpful to quickly check the synonymy between strains from different collections. SkIf identified specific SNPs within 16S rRNA sequences that can be employed for predicting the distribution of Xylella through data mining. Applied to inter- and intra-subspecies analyses, it identified specific k-mers in genes affiliated to differential gene ontologies. Chemotaxis-related genes more prevalently possess specific k-mers in genomes from subspecies fastidiosa, morus and sandyi taken as a whole group. In the subspecies pauca increased abundance of specific k-mers was found in genes associated with the bacterial cell wall/envelope/plasma membrane. Most often, the k-mer specificity occurred in core genes with non-synonymous SNPs in their sequences in genomes of the other subspecies, suggesting putative impact in the protein functions. The presence of two integrative and conjugative elements (ICEs) was identified, one chromosomic and an entire plasmid in a single strain of X. fastidiosa subsp. pauca. Finally, a revised taxonomy of X. fastidiosa into three major clades defined by the subspecies pauca (clade I), multiplex (clade II) and the combination of fastidiosa, morus and sandyi (clade III) was strongly supported by k-mers specifically associated with these subspecies. CONCLUSIONS: SkIf is a robust and rapid software, freely available, that can be dedicated to the comparison of sequence datasets and is applicable to any field of research. Applied to X. fastidiosa, an emerging pathogen in Europe, it provided an important resource to mine for identifying genetic markers of subspecies to optimize the strategies attempted to limit the pathogen dissemination in novel areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5565-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-25 /pmc/articles/PMC6434890/ /pubmed/30909861 http://dx.doi.org/10.1186/s12864-019-5565-9 Text en © The Author(s). 2019 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
Denancé, Nicolas
Briand, Martial
Gaborieau, Romain
Gaillard, Sylvain
Jacques, Marie-Agnès
Identification of genetic relationships and subspecies signatures in Xylella fastidiosa
title Identification of genetic relationships and subspecies signatures in Xylella fastidiosa
title_full Identification of genetic relationships and subspecies signatures in Xylella fastidiosa
title_fullStr Identification of genetic relationships and subspecies signatures in Xylella fastidiosa
title_full_unstemmed Identification of genetic relationships and subspecies signatures in Xylella fastidiosa
title_short Identification of genetic relationships and subspecies signatures in Xylella fastidiosa
title_sort identification of genetic relationships and subspecies signatures in xylella fastidiosa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434890/
https://www.ncbi.nlm.nih.gov/pubmed/30909861
http://dx.doi.org/10.1186/s12864-019-5565-9
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