Integrative Analysis of Vibrio Cholerae Genomic Data for Understanding its Pathogenicity and Evolution


Authors : Sani Ado Umar; Mubarak Sa’idu; Ramgopal Dhakar; Ahmad Sadi Shitu; Abdullahi Rabi’u Abdullahi; Pankaj Kumar Teli; Aminu Ahmed Wudil

Volume/Issue : Volume 9 - 2024, Issue 9 - September


Google Scholar : https://tinyurl.com/29x9p34s

Scribd : https://tinyurl.com/bpan7ty2

DOI : https://doi.org/10.38124/ijisrt/IJISRT24SEP1148

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : Cholera remains a significant global health threat, with substantial mortality rates, yet limited information exists on the pathogenicity, genomic data, and evolutionary relationships of Vibrio cholerae. This study presents a comprehensive genomic analysis of ten V. cholerae strains, examining nucleotide sequence length, virulence factors, pathogenicity islands, and mobile genetic elements. Using tools like NCBI, VFDV, ISLANDviewer, VRprofile, and CLUSTAL OMEGA, the analysis revealed notable variation in nucleotide sequence lengths, with the Amazonia strain and P16 strain showing the highest numbers. Virulence factor analysis identified that some strains, such as Amazonia and C1, possess significantly more virulence factors than others, contributing to cholera pathogenesis. Pathogenicity island analysis showed variability, with some strains like P16 and Amazonia containing more islands, while others, such as strain 0395-B, have fewer, underscoring their role in disease causation. Mobile genetic elements were identified in nine of the ten strains, facilitating the spread of crucial traits across bacterial populations. Evolutionary analysis indicated that all strains share a common ancestor, with Amazonia and strain 1 showing the greatest evolutionary distance from other strains. Additionally, sequence similarity analysis revealed that regions with 80-100% similarity are conserved, while those with less than 80% similarity are non-conserved. These findings offer valuable insights into the genetic diversity, virulence, and evolutionary relationships among V. cholerae strains, contributing to a deeper understanding of cholera pathogenesis and potential avenues for intervention.

Keywords : Cholera, Genomic Data, Virulence Factors, Pathogenicity Island, Mobile Genetic Elements, Evolutionary Relationships.

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Cholera remains a significant global health threat, with substantial mortality rates, yet limited information exists on the pathogenicity, genomic data, and evolutionary relationships of Vibrio cholerae. This study presents a comprehensive genomic analysis of ten V. cholerae strains, examining nucleotide sequence length, virulence factors, pathogenicity islands, and mobile genetic elements. Using tools like NCBI, VFDV, ISLANDviewer, VRprofile, and CLUSTAL OMEGA, the analysis revealed notable variation in nucleotide sequence lengths, with the Amazonia strain and P16 strain showing the highest numbers. Virulence factor analysis identified that some strains, such as Amazonia and C1, possess significantly more virulence factors than others, contributing to cholera pathogenesis. Pathogenicity island analysis showed variability, with some strains like P16 and Amazonia containing more islands, while others, such as strain 0395-B, have fewer, underscoring their role in disease causation. Mobile genetic elements were identified in nine of the ten strains, facilitating the spread of crucial traits across bacterial populations. Evolutionary analysis indicated that all strains share a common ancestor, with Amazonia and strain 1 showing the greatest evolutionary distance from other strains. Additionally, sequence similarity analysis revealed that regions with 80-100% similarity are conserved, while those with less than 80% similarity are non-conserved. These findings offer valuable insights into the genetic diversity, virulence, and evolutionary relationships among V. cholerae strains, contributing to a deeper understanding of cholera pathogenesis and potential avenues for intervention.

Keywords : Cholera, Genomic Data, Virulence Factors, Pathogenicity Island, Mobile Genetic Elements, Evolutionary Relationships.

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