Abstract:Vibrio cholerae, the etiological agent of cholera, is a facultative intestinal pathogen which can also survive in aquatic ecosystems in the form of biofilms, surface-associated microbial aggregates embedded in an extracellular matrix, which protects them from predators and hostile environmental factors. Biofilm-derived bacteria and biofilm aggregates are considered a likely source for cholera infections, underscoring the importance of V. cholerae biofilm research not just to better understand bacterial ecology… Show more
“…Therefore, an exciting question for the future will be whether d -Arg’s dual function as a broad-spectrum toxin and chemotactic warning signal could play a role in biofilm destablization and dispersal. In this line, a study recently reported that the MCP DRK -BsrV operon ( vc1313-1312 ) is part of the in-biofilm repressome and that constitutive expression of some of these genes interferes with biofilm formation 53 . However, the loss of MCP DRK was reported to have no effect on V. cholerae’s fitness in infection or dissemination 54 .…”
To explore favourable niches while avoiding threats, many bacteria use a chemotaxis navigation system. Despite decades of studies on chemotaxis, most signals and sensory proteins are still unknown. Many bacterial species release d-amino acids to the environment; however, their function remains largely unrecognized. Here we reveal that d-arginine and d-lysine are chemotactic repellent signals for the cholera pathogen Vibrio cholerae. These d-amino acids are sensed by a single chemoreceptor MCPDRK co-transcribed with the racemase enzyme that synthesizes them under the control of the stress-response sigma factor RpoS. Structural characterization of this chemoreceptor bound to either d-arginine or d-lysine allowed us to pinpoint the residues defining its specificity. Interestingly, the specificity for these d-amino acids appears to be restricted to those MCPDRK orthologues transcriptionally linked to the racemase. Our results suggest that d-amino acids can shape the biodiversity and structure of complex microbial communities under adverse conditions.
“…Therefore, an exciting question for the future will be whether d -Arg’s dual function as a broad-spectrum toxin and chemotactic warning signal could play a role in biofilm destablization and dispersal. In this line, a study recently reported that the MCP DRK -BsrV operon ( vc1313-1312 ) is part of the in-biofilm repressome and that constitutive expression of some of these genes interferes with biofilm formation 53 . However, the loss of MCP DRK was reported to have no effect on V. cholerae’s fitness in infection or dissemination 54 .…”
To explore favourable niches while avoiding threats, many bacteria use a chemotaxis navigation system. Despite decades of studies on chemotaxis, most signals and sensory proteins are still unknown. Many bacterial species release d-amino acids to the environment; however, their function remains largely unrecognized. Here we reveal that d-arginine and d-lysine are chemotactic repellent signals for the cholera pathogen Vibrio cholerae. These d-amino acids are sensed by a single chemoreceptor MCPDRK co-transcribed with the racemase enzyme that synthesizes them under the control of the stress-response sigma factor RpoS. Structural characterization of this chemoreceptor bound to either d-arginine or d-lysine allowed us to pinpoint the residues defining its specificity. Interestingly, the specificity for these d-amino acids appears to be restricted to those MCPDRK orthologues transcriptionally linked to the racemase. Our results suggest that d-amino acids can shape the biodiversity and structure of complex microbial communities under adverse conditions.
“…Predicting the GFP expression profile (GEEP) of a bacteria biofilm over a Petri dish based on the chemical stimulus release profile (i.e., spatial, time, and concentration) has several potential applications. GEEP prediction can help researchers understand how biofilms respond to different chemical stimulus release profiles, aiding in the development of strategies to control or enhance biofilm formation in various natural and engineered environments [2]. Also, profile prediction can help to identify novel targets for antimicrobial therapies and develop strategies to disrupt or prevent biofilm formation [3], [4].…”
Predicting the gene expression profile (GEEP) of bacterial biofilms in response to spatial, temporal, and concentration profiles of stimulus molecules holds significant potential across microbiology, biotechnology, and synthetic biology domains. However, the resource and time-intensive nature of experiments within Petri dishes presents significant challenges. Data-driven methods offer a promising avenue to replace or reduce such experiments given sufficient data. Through well-crafted data generation techniques, the data scarcity issue can be effectively addressed. In this paper, an innovative methodology is presented for generating GEEP data over Petri dish resulting from a specific chemical stimulus release profile. We subsequently introduce a two-dimensional convolutional neural network (2D-CNN) architecture to leverage the synthesized dataset to predict GEEP variations across bacterial biofilms within the Petri dish. Our approach, known as DeepGEEP, is applied to data generated by a particle-based simulator (PBS), affording us the flexibility to evaluate its efficacy. Our proposed method attains a significant level of accuracy in comparison to established benchmark models such as Linear SVM, Radial Basis Function SVM, Decision Tree, and Random Forest.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.