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.
References :
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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.