微生物学

Contact-dependent interbacterial competition is a common strategy used by bacteria to fight for their ecological niches. Interbacterial competition is monitored by a competition assay involving co-culturing the attacker and the recipient bacterial cells on agar, followed by recovery of the surviving recipient cells. Conventional interbacterial competition assays rely on serial dilution, plate spreading, and colony counting experiments for the readout. The high demand for time and labor in a competition assay limits its use for large-scale screening. However, a high-throughput interbacterial competition screening method is required to screen genetic factors involved in an interbacterial competition. Here, using Agrobacterium tumefaciens as an attacker and Escherichia coli as a recipient, we developed a robust, fast, efficient, and high-throughput type VI secretion system-dependent interbacterial competition screening platform. This system allows for 96 simultaneous competition assays without the need for serial dilution and plate spreading. Data analysis of this system relies on only direct and straightforward colony counting. This platform may be easily adapted to identify novel factors involved in any contact-dependent interbacterial competition systems.

Many bacteria take part in self recognition and kin discrimination behavior using contact-dependent effectors. Understanding the effects these effectors cause is important to explain bacterial community formation and population dynamics. Typically, kin discrimination effectors are toxins that kill target cells; their effect is therefore obvious and easily measurable. However, many self-recognition effectors, such as the Proteus mirabilis Ids system, are non-lethal and do not cause obvious physiological changes in target cells. Previously, experimental techniques to probe cells experiencing non-lethal kin recognition have been limited. Here we describe a technique to reliably isolate cells deemed self and non-self through Ids self-recognition for downstream phenotypic analysis. Liquid cultures of fluorescently labeled self-recognition mutants are mixed together and inoculated on swarm-permissive agar. Mixed swarms are harvested, and each strain is isolated through fluorescence-activated cell sorting (FACS). The growth rate of each strain is measured on a plate reader. This protocol is adaptable for other bacterial species. We describe briefly how sorted particles can be used for other analyses such as RNA-Seq library preparation.

Bacteria live in polymicrobial communities under tough competition. To persist in a specific niche many species produce toxic extracellular effectors as a strategy to interfere with the growth of nearby microbes. One of such effectors are the non-canonical D-amino acids. Here we describe a method to test the effect of D-amino acid production in fitness/survival of bacterial subpopulations within a community. Co-cultivation methods usually involve the growth of the competing bacteria in the same container. Therefore, within such mixed cultures the effect on growth caused by extracellular metabolites cannot be distinguished from direct physical interactions between species (e.g., T6SS effectors). However, this problem can be easily solved by using a filtration unit that allows free diffusion of small metabolites, like L- and D-amino acids, while keeping the different subpopulations in independent compartments.

With this method, we have demonstrated that D-arginine is a bactericide effector produced by Vibrio cholerae, which strongly influences survival of diverse microbial subpopulations. Moreover, D-arginine can be used as a cooperative instrument in mixed Vibrio communities to protect non-producing members from competing bacteria.