Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/101
Title: Development of ListeriaBase and comparative analysis of Listeria monocytogenes
Authors: Tan, Mui F. 
Siow, Cheuk C. 
Dutta, Avirup 
Mutha, Naresh VR. 
Wee, Wei Y. 
Heydari, Hamed 
Tan, Shi Y. 
Ang, Mia Y. 
Wong, Guat J. 
Choo, Siew W. 
Issue Date: 2015
Publisher: Springer Nature
Source: Tan, M. F., Siow, C. C., Dutta, A., Mutha, N. V., Wee, W. Y., Heydari, H., ... & Choo, S. W. (2015). Development of ListeriaBase and comparative analysis of Listeria monocytogenes. BMC Genomics, 16, 755.
Journal: BMC Genomics 
Abstract: 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.
URI: https://hdl.handle.net/20.500.12540/101
DOI: 10.1186/s12864-015-1959-5
Appears in Collections:Scholarly Publications

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