Mycobacterium bovis uses the ESX-1 Type VII secretion system to escape predation by the soil-dwelling amoeba Dictyostelium discoideum.
Rachel E ButlerAlex A SmithTom A MendumAneesh ChandranHuihai WuLouise LefrançoisMark Andrew ChambersThierry SoldatiGraham R StewartPublished in: The ISME journal (2020)
Mycobacterium bovis is the causative agent of bovine tuberculosis and the predominant cause of zoonotic tuberculosis in people. Bovine tuberculosis occurs in farmed cattle but also in a variety of wild animals, which form a reservoir of infection. Although direct transmission of tuberculosis occurs between mammals, the low frequency of contact between different host species and abundant shedding of bacilli by infected animals suggests an infectious route via environmental contamination. Other intracellular pathogens that transmit via the environment deploy strategies to survive or exploit predation by environmental amoebae. To explore if M. bovis has this capability, we investigated its interactions with the soil and dung-dwelling amoeba, Dictyostelium discoideum. We demonstrated that M. bovis evades phagocytosis and destruction by D. discoideum and actively transits through the amoeba using the ESX-1 Type VII Secretion System as part of a programme of mechanisms, many of which have been co-opted as virulence factors in the mammalian host. This capacity of M. bovis to utilise an environmental stage between mammalian hosts may enhance its transmissibility. In addition, our data provide molecular evidence to support an evolutionary role for amoebae as training grounds for the pathogenic M. tuberculosis complex.
Keyphrases
- mycobacterium tuberculosis
- pulmonary tuberculosis
- hiv aids
- human health
- adverse drug
- escherichia coli
- risk assessment
- gram negative
- emergency department
- staphylococcus aureus
- antimicrobial resistance
- randomized controlled trial
- machine learning
- biofilm formation
- study protocol
- hepatitis c virus
- high resolution
- climate change
- health risk
- big data
- virtual reality
- atomic force microscopy
- candida albicans
- data analysis