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Environmental decontamination and water disinfection practices are hallmarks of disease prevention and control in agricultural and public health settings. Informed fit-to-purpose biocontainment is thus dependent on methodologies accurately assessing microbial burden and viability. Also, rigorous evaluation of the efficacy of biocontrol measures implies monitoring microbial inactivation after decontamination/disinfection procedures. In this study, we used flow cytometry coupled with a resuscitation protocol to monitor the metabolic inactivation of bacteria capable of entering non-cultivable states, after the application of a chlorine-based water disinfectant. For this purpose, we used Mycobacterium bovis BCG as a model of slow-growing bacteria able to enter dormancy and representing a multi-host pathogen in a zoonotic disease system—animal tuberculosis—thriving both across temperate and semi-arid regions and involving environmental contamination. The biocide activity of a commercial sodium dichloroisocyanurate (NaDCC) disinfectant against M. bovis BCG was evaluated through mock environmental matrix tests. Using the manufacturer-recommended dosage of NaDCC, BCG cells were apparently inactivated after 24 h upon exposure. However, we show via flow cytometry that, upon exposure to optimal growth conditions, mycobacterial cells were able to regain metabolic activity shortly after, highlighting a sublethal effect of NaDCC at the recommended commercial dosage due to reversible BCG cell damage. In contrast, increasing twice the disinfectant dosage completely inactivated BCG cells after 24 h of exposure, with full irreversible loss of metabolic activity. Methodological workflows based on conventional culture or PCR would have missed the detection of these dormant subpopulations that were in fact able to resume growth when following the recommendations of a commercial disinfectant. This study highlights the superior, high-resolution value of single-cell approaches, such as flow cytometry, to accurately assess the activity of biocides against metabolically heterogeneous and dormant pathogenic bacteria with environmental cycles, supporting data-driven prioritization of environmental management and disinfection options in contaminated vulnerable settings. [ABSTRACT FROM AUTHOR]

Mycobacterium bovis causes tuberculosis (TB) at the human-wildlife-livestock interface. Environmental persistence of M. bovis excreted by infected hosts may cause indirect transmission to other animals. However, methodological constrains hamper assessment of M. bovis viability and molecular signature in environmental matrices. In this work, an innovative, modular, and highly efficient single-cell workflow combining flow cytometry (FLOW), fluorescence in situ hybridization (FISH), and fluorescence-activated cell sorting (FACS) was developed, allowing detection, quantification, and sorting of viable and dormant M. bovis cells from environmental matrices. Validation with spiked water and sediments showed high efficiency (90%) of cell recovery, with high linearity between expected and observed results, both in cell viability evaluation (r2 =0.93) and FISH-labelled M. bovis cells quantification (r2 ≥0.96). The limit of detection was established at 105 cells/g of soil in the cell viability step and 102 cells/g of soil in the taxonomical labelling stage. Moreover, FACS efficiency attained noteworthy recovery yield (50%) and purity (60% viable cells; 70% taxonomically labelled M. bovis). This new methodology represents a huge step for M. bovis assessment outside the mammal host, offering the rapid quantification of M. bovis cell load and cell viability, including viable but non-culturable cells, and further downstream cell analyses after FACS. Subsequent environmental data integration with the clinical component will expand knowledge on transmission routes, promising new paths in TB research and an intervention tool to mitigate the underlying biohazard. [Display omitted] • Environmental contamination with Mycobacterium bovis perpetrates TB in livestock and wildlife. • Mechanistic understanding of M. bovis transmission via environment is key to control TB. • A new high-performance workflow based on FLOW-FISH & FACS was developed to assess M. bovis burden in environmental matrices. • This single cell framework enables detection, quantification, and sorting of metabolically active and quiescent M. bovis. • This tool applicable to the total environment opens new avenues in TB research and biohazard control. [ABSTRACT FROM AUTHOR]