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Background <p><i>Bacillus anthracis (B. anthracis</i>), a Gram-positive bacterium, poses significant threats to both livestock and humans, with known potential use in bioterrorism. Despite its zoonotic importance, the pathogen’s evolutionary dynamics and metabolic genes remain poorly understood, limiting insights into its virulence mechanisms. This study aimed to: (i) evaluate the distribution of toxin genes across <i>B. anthracis</i> isolates, (ii) employ a machine learning algorithm to identify genetic differences among toxin- and capsule synthesis gene-carrying <i>B. anthracis</i> isolates, and (iii) identify shared metabolic genes of <i>B. anthracis</i> in humans and locate key hub genes.</p> Results <p>Comprehensive genomic analyses revealed important new insights into <i>B. anthracis</i> diversity and pathogenesis. The study identified the thiol-activated cytolysin BAS3109 toxin as conserved across all isolates, highlighting its fundamental role alongside the canonical toxin genes (<i>pagA</i>,<i> lef</i>,<i> cya</i>) in virulence. Variations in the pXO1 and pXO2 plasmids significantly drive strain-specific virulence profiles and adaptation across globally diverse isolates. Using machine learning and clustering approaches, we also discovered that <i>GuaA</i>, a gene involved in guanine nucleotide biosynthesis, acts as a key metabolic hub gene. <i>GuaA</i>’s central role in metabolic pathways makes it a promising biomarker and potential target for therapeutic intervention. This study demonstrates that while the chromosomal genome remains closed and stable, plasmid variability, particularly in pXO2 constitutes the primary source of genomic diversity within <i>B. anthracis</i>.</p> Conclusion <p>The conserved presence of BAS3109 and the identification of <i>GuaA</i> as a central metabolic hub emphasizes new avenues for understanding <i>B. anthracis</i> pathogenesis and for developing diagnostic and therapeutic strategies. Our findings establish that plasmid-driven genomic diversity combined with core metabolic functions shapes the virulence and evolutionary potential of <i>B. anthracis</i>. This enhanced understanding provides a robust framework for future research aimed at controlling and preventing anthrax infections.</p>

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Genomic adaptability and virulence of Bacillus anthracis: a machine learning-based pan-genome and comparative analysis

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月7日

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  • Yamini Sri Sekar,
  • Paulchamy Chellapandi,
  • Kuralayanapalya Puttahonnappa Suresh,
  • Sivashanmuga Vadivel Saranya,
  • Mohan Papanna,
  • Baldev Raj Gulati,
  • Raghavendra G. Amachawadi,
  • Mehnaj Khatoon,
  • Divakar Hemadri,
  • Chamalapura Ashwathama Archana,
  • Swati Rani,
  • Archana Patil,
  • Azhahianambi Palavesam,
  • Ningegowda Sagar,
  • Jayashree Anand,
  • Sharanagouda S. Patil

摘要

Background

Bacillus anthracis (B. anthracis), a Gram-positive bacterium, poses significant threats to both livestock and humans, with known potential use in bioterrorism. Despite its zoonotic importance, the pathogen’s evolutionary dynamics and metabolic genes remain poorly understood, limiting insights into its virulence mechanisms. This study aimed to: (i) evaluate the distribution of toxin genes across B. anthracis isolates, (ii) employ a machine learning algorithm to identify genetic differences among toxin- and capsule synthesis gene-carrying B. anthracis isolates, and (iii) identify shared metabolic genes of B. anthracis in humans and locate key hub genes.

Results

Comprehensive genomic analyses revealed important new insights into B. anthracis diversity and pathogenesis. The study identified the thiol-activated cytolysin BAS3109 toxin as conserved across all isolates, highlighting its fundamental role alongside the canonical toxin genes (pagA, lef, cya) in virulence. Variations in the pXO1 and pXO2 plasmids significantly drive strain-specific virulence profiles and adaptation across globally diverse isolates. Using machine learning and clustering approaches, we also discovered that GuaA, a gene involved in guanine nucleotide biosynthesis, acts as a key metabolic hub gene. GuaA’s central role in metabolic pathways makes it a promising biomarker and potential target for therapeutic intervention. This study demonstrates that while the chromosomal genome remains closed and stable, plasmid variability, particularly in pXO2 constitutes the primary source of genomic diversity within B. anthracis.

Conclusion

The conserved presence of BAS3109 and the identification of GuaA as a central metabolic hub emphasizes new avenues for understanding B. anthracis pathogenesis and for developing diagnostic and therapeutic strategies. Our findings establish that plasmid-driven genomic diversity combined with core metabolic functions shapes the virulence and evolutionary potential of B. anthracis. This enhanced understanding provides a robust framework for future research aimed at controlling and preventing anthrax infections.