This project aims to identify and characterize the operon structures of Clostridioides difficile, a spore-forming, anaerobic pathogen responsible for severe gastrointestinal infections.
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Operons are clusters of co-transcribed genes regulated as a single unit, playing a crucial role in bacterial gene expression, adaptation, and survival.
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Understanding operon structures in C. difficile is essential for deciphering bacterial regulatory mechanisms, metabolic pathways, and potential drug resistance mechanisms.
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To achieve this, computational and RNA-Seq-based approaches will be employed to predict operons using transcriptomic data from C. difficile under various conditions.
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The study will integrate genomic annotations, expression profiles, and computational tools such as and COSMO to infer operon boundaries.
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The findings of this research could provide novel insights into bacterial gene regulation, antibiotic resistance, and potential therapeutic targets for controlling C. difficile infections.