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Author Spotlight: Advancements in Understanding and Combatting Shigella Infections
Published on: February 9, 2024
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High Rates of Genome Rearrangements and Pathogenicity of Shigella spp
Zaira Seferbekova1,2, Alexey Zabelkin3,4,5, Yulia Yakovleva5,6
1Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, Russia.
Frontiers in Microbiology
|April 29, 2021
Summary
Shigella bacteria exhibit high genomic rearrangement rates, driven by insertion sequences, distinguishing them from E. coli. This genomic plasticity is key to their evolution as intracellular pathogens.
Area of Science:
- Microbiology
- Genomics
- Evolutionary Biology
Background:
- Shigella, a pathogen within the Escherichia lineage, is often classified separately due to distinct genomic features.
- Insertion sequences (ISs) in Shigella genomes contribute to gene pseudogenization and increased non-homologous recombination.
Purpose of the Study:
- To investigate the role of genomic rearrangements in Shigella evolution.
- To compare rearrangement rates between Shigella and Escherichia coli strains.
- To identify genetic elements contributing to Shigella's pathogenic evolution.
Main Methods:
- Comparative genomics analysis of 414 E. coli and Shigella genomes.
- Assessment of intragenomic rearrangement rates and homologous recombination.
- Identification and analysis of specific gene families, including E3 ubiquitin-protein ligases.
Main Results:
- Shigella strains show significantly higher rates of genomic rearrangement compared to pathogenic and non-pathogenic E. coli.
- Homologous recombination rates are decreased in Shigella.
- Two conserved E3 ubiquitin-protein ligases were identified in all Shigella strains, absent in enteroinvasive E. coli (EIEC).
Conclusions:
- Genomic rearrangements, influenced by IS accumulation, are crucial for Shigella's evolution as intracellular pathogens.
- Non-coding regions and specific gene acquisitions play a significant role in the evolution of pathogenic genomic islands.
- Comparative genomics reveals distinct evolutionary trajectories shaped by genomic instability.
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