Metagenomic Characterization of Bacterial Communities Associated with Lung Cancer

This research investigates the bacterial diversity associated with lung cancer through metagenomic analysis. The study utilized metagenomic data from the European Nucleotide Archive (ENA), specifically accession number PRJNA592147, examining ten FASTQ files representing two lung cancer samples. The 16S lung cancer metagenome was sequenced using Illumina MiSeq paired-end technology, with data processing conducted on the Galaxy server. Data quality was enhanced through FastQC quality control and Trimmomatic sequence trimming. Kraken 2 was employed for taxonomic classification and bacterial community abundance assessment, while the Krona tool facilitated data visualization. The analysis revealed three notable bacterial species: Mycolicibacterium chubuense, Arthrobacter ramosus, and Streptosporangium longisporum. M. chubuense, a member of the Mycobacteriaceae family, is characterized as a non-motile, spore-free bacterium that thrives in various media at 37°C. A. ramosus, belonging to the Micrococcaceae family, is an obligate aerobe that flourishes in multiple culture media at temperatures ranging from 28–30°C. S. longisporum, part of the Streptosporangiaceae family, forms sporangia and exhibits ideal progress at 30°C in specific media. The identification of these bacteria in lung cancer samples suggests their potential involvement in the disease's development and progression. This investigation offers insights into the microbial landscape associated with lung cancer, potentially contributing to a well understanding of the disease's etiology and the development of novel therapeutic approaches. Further research is required to validate these results and elucidate the mechanisms connecting these bacteria to lung cancer.

Metagenomics, Bacterial Diversity, Lung Cancer, Metagenomic Analysis, Korona pie chart

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