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Better understanding of essential cellular functions in pathogenic bacteria is important for the development of more effective antimicrobial agents. We performed a comprehensive identification of essential genes inMycobacterium tuberculosis, the major causative agent of tuberculosis, using a combination of transposon insertion sequencing (Tn-seq) and comparative genomic analysis. To identify conditional essential genes by Tn-seq, we used media with different nutrient composition. Although many conditional gene essentialities were affected by the presence of relevant nutrient sources, we also found that the essentiality of genes in a subset of metabolic pathways was unaffected by metabolites. Comparative genomic analysis revealed that not all essential genes identified by Tn-seq were fully conserved within theM. tuberculosiscomplex including some existing anti-tubercular drug target genes. In addition, we utilized an availableM. tuberculosisgenome-scale metabolic model, iSM810, to predictM. tuberculosisgene essentialityin silico. Comparing the sets of essential genes experimentally identified by Tn-seq to those predictedin silicoreveals the capabilities and limitations of gene essentiality predictions highlighting the complexity ofM. tuberculosisessential metabolic functions. This study provides a promising platform to study essential cellular functions inM. tuberculosis.Author SummaryMycobacterium tuberculosiscauses 10 million cases of tuberculosis (TB) each year resulting in over one million deaths. TB therapy is challenging because it requires a minimum of six months of treatment with multiple drugs. Protracted treatment times and the emergent spread of drug resistant TB necessitate the identification of novel targets for drug discovery to curb this global health threat. Essential functions, defined as those indispensable for growth and/or survival, are potential targets for new antimicrobial drugs. In this study, we aimed to define gene essentialities ofM. tuberculosison a genome-wide scale to comprehensively identify potential targets for drug discovery. We utilized a combination of experimental (functional genomics) andin silicoapproaches (comparative genomics and flux balance analysis). Our functional genomics approach identified sets of genes whose essentiality was affected by nutrient availability. Comparative genomics revealed that not all essential genes were fully conserved within theM. tuberculosiscomplex. Comparing sets of essential genes identified by functional genomics to those predicted by flux balance analysis highlighted gaps in current knowledge regardingM. tuberculosismetabolic capabilities. Thus, our study identifies numerous potential anti-tubercular drug targets and provides a comprehensive picture of the complexity ofM. tuberculosisessential cellular functions. |
