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Network Modeling Analysis in Health Informatics and Bioinformatics

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01.12.2023 | Original Article

Genome annotation and comparative functional analysis of genomic islands in Bordetella pertussis Tohama I, Bordetella parapertussis 12822, and Bordetella bronchiseptica RB50 genomes

verfasst von: Hari Om Sharn, Dev Bukhsh Singh, Pramod Kumar Yadav, Budhayash Gautam, Vipin Kumar, Satendra Singh

Erschienen in: Network Modeling Analysis in Health Informatics and Bioinformatics | Ausgabe 1/2023

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Abstract

Bordetella pertussis Tohama I, Bordetella parapertussis 12822, and Bordetella bronchiseptica RB50 are pathogenic β-proteobacteria. The B. pertussis and B. parapertussis are the main pathogenic species which cause whooping cough in humans. The availability of whole genome sequences of different strains of Bordetella has open up new avenues towards identification of genomic islands. The genomic islands are clusters of genes which are acquired from other species by horizontal transfer and have substantial impact on microbial adaptations which are associated with clinical and environmental aspects. In the present work, identification and comparative functional analysis of genomic islands have been carried out against the genome of these three species of Bordetella. A total of 15 genomic islands have been identified which encodes for 251 proteins. Out of these, 108 proteins are functionally annotated while 143 proteins were found to be hypothetical proteins. Among 108 proteins, 32 proteins were present in B. bronchiseptica, 03 in B. Parapertussis, and 73 in B. Pertussis. In addition, BLAST-P analysis was carried out to find the occurrence of these proteins in other species of Bordetella. Several unique proteins have been found in B. Bronchiseptica (06) and B. Pertussis (21) as they were not expressed in others species of Bordetella. Functional annotation of 108 proteins further revealed that 26 proteins are pathogen-associated, 53 proteins are involved in resistance, 19 proteins are responsible for virulence, and 10 proteins are associated with both virulence and pathogenicity. This study revealed that a significant number of genomic islands are acquired by horizontal gene transfer which play significant role in the evolution behaviour of Bordetella species. In conclusion, proteins encoded by predicted genomic islands might be associated with the development of increased virulence, pathogenicity, and host restriction for humans to B. pertussis in comparison to B. parapertussis and B. bronchiseptica. The novel encoded proteins can be exploited as potential therapeutic drug targets against Bordetella species.

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Titel: Genome annotation and comparative functional analysis of genomic islands in Bordetella pertussis Tohama I, Bordetella parapertussis 12822, and Bordetella bronchiseptica RB50 genomes
verfasst von: Hari Om Sharn
Dev Bukhsh Singh
Pramod Kumar Yadav
Budhayash Gautam
Vipin Kumar
Satendra Singh
Publikationsdatum: 01.12.2023
Verlag: Springer Vienna
Erschienen in: Network Modeling Analysis in Health Informatics and Bioinformatics / Ausgabe 1/2023
Print ISSN: 2192-6662
Elektronische ISSN: 2192-6670
DOI: https://doi.org/10.1007/s13721-023-00418-1

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