The gut microbiota plays a crucial role in liver regeneration and disease progression, with specific microbial taxa impacting liver health. This study explores the evolutionary relationships and functional roles of gut microbiota involved in liver regeneration and disease states, using bioinformatics tools like Biopython. We retrieved 16S rRNA sequences from NCBI and EMBL databases, compiling a dataset of 23 microbial species affecting liver metabolism, inflammation, and regeneration. Data preprocessing included manual curation, sequence alignment with BioEdit and ClustalW, and evolutionary analysis with MEGA 11 to construct phylogenetic trees. The study focuses on evolutionary relationships through nucleotide frequency distribution, interactions, and p-distance calculations to assess genetic divergence among the selected species. Species like Roseburia hominis and Bacteroides fragilis showed strong positive correlations, suggesting cooperative relationships enhancing liver regeneration, while competitive interactions were observed in others. Distinct clades of bacteria linked to liver health and diseases were identified, e.g., (Lactobacillus, Faecalibacterium, Enterobacteriaceae, Clostridium, etc.). Genomic analyses, including nucleotide distribution, highlighted the microbiota’s functional significance in liver health, suggesting and will help to get potential therapeutic strategies targeting the microbial communities to improve liver regeneration and diseased conditions. Our findings revealed distinct clades of bacteria associated with liver health, such as Lactobacillus and Faecalibacterium linked to liver diseases, such as Enterobacteriaceae and Clostridium based on bioinformatic analysis. These insights underscore the gut microbiota's evolutionary and functional significance in liver health, providing potential therapeutic strategies targeting microbial communities to enhance liver regeneration.

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Evolutionary Profiling and Study of Gut Microbial Species in Liver Regeneration and Diseased Conditions with 16 s rRNA Using Bioinformatics

  • Sarmistha Pathak,
  • Jyotirmoy Deka,
  • Monita Wahengbam

摘要

The gut microbiota plays a crucial role in liver regeneration and disease progression, with specific microbial taxa impacting liver health. This study explores the evolutionary relationships and functional roles of gut microbiota involved in liver regeneration and disease states, using bioinformatics tools like Biopython. We retrieved 16S rRNA sequences from NCBI and EMBL databases, compiling a dataset of 23 microbial species affecting liver metabolism, inflammation, and regeneration. Data preprocessing included manual curation, sequence alignment with BioEdit and ClustalW, and evolutionary analysis with MEGA 11 to construct phylogenetic trees. The study focuses on evolutionary relationships through nucleotide frequency distribution, interactions, and p-distance calculations to assess genetic divergence among the selected species. Species like Roseburia hominis and Bacteroides fragilis showed strong positive correlations, suggesting cooperative relationships enhancing liver regeneration, while competitive interactions were observed in others. Distinct clades of bacteria linked to liver health and diseases were identified, e.g., (Lactobacillus, Faecalibacterium, Enterobacteriaceae, Clostridium, etc.). Genomic analyses, including nucleotide distribution, highlighted the microbiota’s functional significance in liver health, suggesting and will help to get potential therapeutic strategies targeting the microbial communities to improve liver regeneration and diseased conditions. Our findings revealed distinct clades of bacteria associated with liver health, such as Lactobacillus and Faecalibacterium linked to liver diseases, such as Enterobacteriaceae and Clostridium based on bioinformatic analysis. These insights underscore the gut microbiota's evolutionary and functional significance in liver health, providing potential therapeutic strategies targeting microbial communities to enhance liver regeneration.