Temporal genome-wide fitness analysis of Mycobacterium marinum during infection reveals genetic requirement for virulence and survival in amoebae and microglial cells

Tuberculosis remains the most pervasive infectious disease and the recent emergence of multiple or even fully drug-resistant strains increases the risk and emphasizes the need for more efficient and better drug treatments. A key feature of mycobacteria pathogenesis is the metabolic switch during infection and expression of virulence genes is often adapted to specific infection conditions. This study aims to identify genes that are involved in the establishment and maintenance of the infection. To answer these questions, we have applied Transposon Sequencing (Tn-Seq) in M. marinum, an unbiased genome-wide strategy that combines saturation insertional mutagenesis and high throughput sequencing. This approach allowed us to precisely identify the localization and relative abundance of insertions in pools of Tn mutants. The essentiality and fitness cost, in terms of growth advantage and disadvantage of over 105 mutants were quantitatively compared between in vitro and different stages of infection in two evolutionary distinct hosts, D. discoideum and BV2 microglial cells. We found that 57% of TA sites in the M. marinum genome were disrupted and that 568 genes (10.2%) are essential for M. marinum, which is comparable to previous Tn-Seq studies on M. tuberculosis. The major pathways involved in the survival of M. marinum during infection of D. discoideum were related to vitamin metabolism, the esx-1 operon, as well as the mce1 operon.

Identifier
Source https://data.blue-cloud.org/search-details?step=~012C5E04F68C3F2670C93E2399ACAF241F890BF81A0
Metadata Access https://data.blue-cloud.org/api/collections/C5E04F68C3F2670C93E2399ACAF241F890BF81A0
Provenance
Instrument Illumina HiSeq 4000; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science