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Development of ListeriaBase and comparative analysis of Listeria monocytogenes

BACKGROUND: Listeria consists of both pathogenic and non-pathogenic species. Reports of similarities between the genomic content between some pathogenic and non-pathogenic species necessitates the investigation of these species at the genomic level to understand the evolution of virulence-associated...

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Autores principales: Tan, Mui Fern, Siow, Cheuk Chuen, Dutta, Avirup, Mutha, Naresh VR, Wee, Wei Yee, Heydari, Hamed, Tan, Shi Yang, Ang, Mia Yang, Wong, Guat Jah, Choo, Siew Woh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595109/
https://www.ncbi.nlm.nih.gov/pubmed/26444974
http://dx.doi.org/10.1186/s12864-015-1959-5
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author Tan, Mui Fern
Siow, Cheuk Chuen
Dutta, Avirup
Mutha, Naresh VR
Wee, Wei Yee
Heydari, Hamed
Tan, Shi Yang
Ang, Mia Yang
Wong, Guat Jah
Choo, Siew Woh
author_facet Tan, Mui Fern
Siow, Cheuk Chuen
Dutta, Avirup
Mutha, Naresh VR
Wee, Wei Yee
Heydari, Hamed
Tan, Shi Yang
Ang, Mia Yang
Wong, Guat Jah
Choo, Siew Woh
author_sort Tan, Mui Fern
collection PubMed
description BACKGROUND: Listeria consists of both pathogenic and non-pathogenic species. Reports of similarities between the genomic content between some pathogenic and non-pathogenic species necessitates the investigation of these species at the genomic level to understand the evolution of virulence-associated genes. With Listeria genome data growing exponentially, comparative genomic analysis may give better insights into evolution, genetics and phylogeny of Listeria spp., leading to better management of the diseases caused by them. DESCRIPTION: With this motivation, we have developed ListeriaBase, a web Listeria genomic resource and analysis platform to facilitate comparative analysis of Listeria spp. ListeriaBase currently houses 850,402 protein-coding genes, 18,113 RNAs and 15,576 tRNAs from 285 genome sequences of different Listeria strains. An AJAX-based real time search system implemented in ListeriaBase facilitates searching of this huge genomic data. Our in-house designed comparative analysis tools such as Pairwise Genome Comparison (PGC) tool allowing comparison between two genomes, Pathogenomics Profiling Tool (PathoProT) for comparing the virulence genes, and ListeriaTree for phylogenic classification, were customized and incorporated in ListeriaBase facilitating comparative genomic analysis of Listeria spp. Interestingly, we identified a unique genomic feature in the L. monocytogenes genomes in our analysis. The Auto protein sequences of the serotype 4 and the non-serotype 4 strains of L. monocytogenes possessed unique sequence signatures that can differentiate the two groups. We propose that the aut gene may be a potential gene marker for differentiating the serotype 4 strains from other serotypes of L. monocytogenes. CONCLUSIONS: ListeriaBase is a useful resource and analysis platform that can facilitate comparative analysis of Listeria for the scientific communities. We have successfully demonstrated some key utilities of ListeriaBase. The knowledge that we obtained in the analyses of L. monocytogenes may be important for functional works of this human pathogen in future. ListeriaBase is currently available at http://listeria.um.edu.my. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1959-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-45951092015-10-07 Development of ListeriaBase and comparative analysis of Listeria monocytogenes Tan, Mui Fern Siow, Cheuk Chuen Dutta, Avirup Mutha, Naresh VR Wee, Wei Yee Heydari, Hamed Tan, Shi Yang Ang, Mia Yang Wong, Guat Jah Choo, Siew Woh BMC Genomics Database BACKGROUND: Listeria consists of both pathogenic and non-pathogenic species. Reports of similarities between the genomic content between some pathogenic and non-pathogenic species necessitates the investigation of these species at the genomic level to understand the evolution of virulence-associated genes. With Listeria genome data growing exponentially, comparative genomic analysis may give better insights into evolution, genetics and phylogeny of Listeria spp., leading to better management of the diseases caused by them. DESCRIPTION: With this motivation, we have developed ListeriaBase, a web Listeria genomic resource and analysis platform to facilitate comparative analysis of Listeria spp. ListeriaBase currently houses 850,402 protein-coding genes, 18,113 RNAs and 15,576 tRNAs from 285 genome sequences of different Listeria strains. An AJAX-based real time search system implemented in ListeriaBase facilitates searching of this huge genomic data. Our in-house designed comparative analysis tools such as Pairwise Genome Comparison (PGC) tool allowing comparison between two genomes, Pathogenomics Profiling Tool (PathoProT) for comparing the virulence genes, and ListeriaTree for phylogenic classification, were customized and incorporated in ListeriaBase facilitating comparative genomic analysis of Listeria spp. Interestingly, we identified a unique genomic feature in the L. monocytogenes genomes in our analysis. The Auto protein sequences of the serotype 4 and the non-serotype 4 strains of L. monocytogenes possessed unique sequence signatures that can differentiate the two groups. We propose that the aut gene may be a potential gene marker for differentiating the serotype 4 strains from other serotypes of L. monocytogenes. CONCLUSIONS: ListeriaBase is a useful resource and analysis platform that can facilitate comparative analysis of Listeria for the scientific communities. We have successfully demonstrated some key utilities of ListeriaBase. The knowledge that we obtained in the analyses of L. monocytogenes may be important for functional works of this human pathogen in future. ListeriaBase is currently available at http://listeria.um.edu.my. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1959-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-10-06 /pmc/articles/PMC4595109/ /pubmed/26444974 http://dx.doi.org/10.1186/s12864-015-1959-5 Text en © Tan et al. 2015 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 Database
Tan, Mui Fern
Siow, Cheuk Chuen
Dutta, Avirup
Mutha, Naresh VR
Wee, Wei Yee
Heydari, Hamed
Tan, Shi Yang
Ang, Mia Yang
Wong, Guat Jah
Choo, Siew Woh
Development of ListeriaBase and comparative analysis of Listeria monocytogenes
title Development of ListeriaBase and comparative analysis of Listeria monocytogenes
title_full Development of ListeriaBase and comparative analysis of Listeria monocytogenes
title_fullStr Development of ListeriaBase and comparative analysis of Listeria monocytogenes
title_full_unstemmed Development of ListeriaBase and comparative analysis of Listeria monocytogenes
title_short Development of ListeriaBase and comparative analysis of Listeria monocytogenes
title_sort development of listeriabase and comparative analysis of listeria monocytogenes
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4595109/
https://www.ncbi.nlm.nih.gov/pubmed/26444974
http://dx.doi.org/10.1186/s12864-015-1959-5
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