Deep Learning enables reliable and comprehensive profiling of invertible promoters in microbes.

A recent study published in Genomics & Genetics Weekly discusses the importance of invertible promoters (invertons) in bacteria and their role in regulating gene expression. The study developed a deep learning model called DeepInverton, which accurately identifies novel inverton sequences without sequencing reads. The researchers conducted a comprehensive analysis of invertons in bacterial genomes and metagenomic datasets, revealing a diverse range of gene functions regulated by invertons, including antimicrobial resistance and biofilm formation. The study also found a significant enrichment of invertons in pathogenic bacteria, such as Bordetella pertussis, and identified a link between the evolution of B. pertussis and inverton enrichment. The findings deepen our understanding of invertons and have potential applications in microbial ecology and synthetic biology. However, it is important to note that this study has not yet undergone peer review. [Extracted from the article]