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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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. |
format | Online Article Text |
id | pubmed-4595109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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