Project description:A gram-negative colonizer of the oral cavity, Fusobacterium nucleatum not only interacts with many pathogens in the oral microbiome but also has the ability to spread to extraoral sites including placenta and amniotic fluid, promoting preterm birth. To date, however, the molecular mechanism of interspecies interactions –termed coaggregation–by F. nucleatum and how coaggregation affects bacterial virulence remain poorly defined. Here, we employed genome-wide transposon mutagenesis to uncover fusobacterial coaggregation factors, revealing the intertwined functionof a two-component signal transduction system (TCS), named CarRS, and a lysine metabolic pathway in regulating the critical coaggregation factor RadD. Transcriptome analysis shows that CarR modulates a large regulon including radD and lysine metabolic genes, such as kamA and kamD, the expression of each which is highly up-regulated in the ΔcarR mutant. Significantly, the native culture medium of ΔkamA or ΔkamD mutants builds up abundant amounts of free lysine, which blocks fusobacterial coaggregation with streptococci. Our demonstration that lysine-conjugated beads trap RadD from the membrane lysates suggests that lysine utilizes RadD as its receptor to act as a metabolic inhibitor of coaggregation. Lastly, using a mouse model of preterm birth, we show that fusobacterial virulence is significantly attenuated with the ΔkamA and ΔcarR mutants, in contrast to the enhanced virulence phenotype observed upon diminishing RadD (ΔradD or ΔcarS mutant). Evidently, F. nucleatum employs the TCS CarRS and environmental lysine to modulate RadD-mediated interspecies interaction, virulence, and nutrient acquisition to thrive in the adverse environment of oral biofilms and extraoral sites.
Project description:Fusobacterium nucleatum is a Gram negative oral bacterial species associated with periodontal disease progression. This species is perhaps best known for its ability to adhere to a vast array of other bacteria and eukaryotic cells. Numerous studies of F. nucleatum have examined various coaggregation partners and inhibitors, but it is largely unknown whether these interactions induce a particular genetic response. We tested coaggregation between F. nucleatum ATCC strain 25586 and various species of Streptococcus in the presence of a semi-defined growth medium containing saliva. We found that this condition could support efficient coaggregation, but surprisingly also stimulated a similar degree of autoaggregation. We further characterized the autoaggregation response, since few reports have examined this in F. nucleatum. After screening several common coaggregation inhibitors, we identified L-lysine as a competitive inhibitor of autoaggregation. We performed a microarray analysis of the planktonic vs. autoaggregated cells and found nearly 100 genes that were affected after only about 60 min. of aggregation. We tested a subset of these genes via real-time RT-PCR and confirmed the validity of the microarray results. Some of these genes were also found to be inducible in cell pellets created by centrifugation. Based upon these data, it appears that autoaggregation activates a genetic program that may be utilized for growth in a high cell density environment, such as the oral biofilm.
Project description:Oral streptococci, including Streptococcus gordonii, and Actinomyces naeslundii, are consistently found to be the most abundant bacteria in the early stages of dental plaque accumulation. These organisms interact physically (coaggregate) in vitro and in vivo. We hypothesized that coaggregation between S. gordonii and A. naeslundii leads to changes in gene expression in the partner organisms. Furthermore, we predicted that coaggregation-induced changes in phenotype contribute to the success of streptococci and actinomyces in dental plaque. To assess the responses of S. gordonii to coaggregation with A. naeslundii, RNA was extracted from S. gordonii cells 3 h after inducing coaggregation with A. naeslundii or from equivalent S. gordonii monocultures. The two RNA populations were reverse transcribed and compared by competitive hybridization with an S. gordonii genomic microarray. The most striking feature of the response to coaggregation was a profound change in expression of S. gordonii genes involved in arginine biosynthesis and transport. Subsequent experiments demonstrated that coaggregation with A. naeslundii stabilizes arginine biosynthesis in S. gordonii and enables growth under low-arginine conditions, such as those present in human saliva. Keywords: Cell-cell interaction
Project description:Fusobacterium nucleatum is a Gram negative oral bacterial species associated with periodontal disease progression. This species is perhaps best known for its ability to adhere to a vast array of other bacteria and eukaryotic cells. Numerous studies of F. nucleatum have examined various coaggregation partners and inhibitors, but it is largely unknown whether these interactions induce a particular genetic response. We tested coaggregation between F. nucleatum ATCC strain 25586 and various species of Streptococcus in the presence of a semi-defined growth medium containing saliva. We found that this condition could support efficient coaggregation, but surprisingly also stimulated a similar degree of autoaggregation. We further characterized the autoaggregation response, since few reports have examined this in F. nucleatum. After screening several common coaggregation inhibitors, we identified L-lysine as a competitive inhibitor of autoaggregation. We performed a microarray analysis of the planktonic vs. autoaggregated cells and found nearly 100 genes that were affected after only about 60 min. of aggregation. We tested a subset of these genes via real-time RT-PCR and confirmed the validity of the microarray results. Some of these genes were also found to be inducible in cell pellets created by centrifugation. Based upon these data, it appears that autoaggregation activates a genetic program that may be utilized for growth in a high cell density environment, such as the oral biofilm. The study aims to determine the effect of autoaggregation upon the transcriptome. The study contains 2 separate experiments that both measure dispersed (i.e. non-aggregated) vs. aggregated cells and each experiment was performed in duplicate. Samples with no added components other than medium were dispersed, samples containing 25% saliva were aggregated, and samples containing 25% saliva + 50mM L-lysine remained dispersed.