Genotypic variations and interspecific interactions modify gene expression and biofilm formation of Xanthomonas retroflexus.

Multispecies biofilms are important models for studying the evolution of microbial interactions. Co-cultivation of Xanthomonas retroflexus (XR) and Paenibacillus amylolyticus (PA) systemically leads to the appearance of an XR wrinkled mutant (XRW), increasing biofilm production. The nature of this new interaction and the role of each partner remain unclear. We tested the involvement of secreted molecular cues in this interaction by exposing XR and XRW to PA or its supernatant and analysing the response using RNA-seq, colony-forming unit (CFU) estimates, biofilm quantification, and microscopy. Compared to wild type, the mutations in XRW altered its gene expression and increased its CFU number. These changes matched the reported effects for one of the mutated genes: a response regulator part of a two-component system involved in environmental sensing. When XRW was co-cultured with PA or its supernatant, the mutations effects on XRW gene expression were masked, except for genes involved in sedentary lifestyle, being consistent with the higher biofilm production. It appears that the higher biofilm production was the result of the interaction between the genetic context (mutations) and the biotic environment (PA signals). Regulatory genes involved in environmental sensing need to be considered to shed further light on microbial interactions.

Priority of Early Colonizers but No Effect on Cohabitants in a Synergistic Biofilm Community.

The arrival order of different species to a habitat can strongly impact community assembly and succession dynamics, thus influencing functionality. In this study, we asked how prior colonization of one community member would influence the assembly of a synergistic multispecies biofilm community grown in vitro. We expected that the prior arrival would confer an advantage, in particular for good biofilm formers. Yet, we did not know if the cohabitants would be impaired or benefit from the pre-colonization of one member, depending on its ability to form biofilm. We used a consortium consisting of four soil bacteria; Stenotrophomonas rhizophila, Xanthomonas retroflexus, Microbacterium oxydans and Paenibacillus amylolyticus. This consortium has been shown to act synergistically when grown together, thus increasing biofilm production. The results showed that the two good biofilm formers gained a fitness advantage (increase in abundance) when allowed prior colonization on an abiotic surface before the arrival of their cohabitants. Interestingly, the significantly higher number of the pre-colonized biofilm formers did not affect the resulting composition in the subsequent biofilm after 24 h.

Heavy metal exposure causes changes in the metabolic health-associated gut microbiome and metabolites.

BACKGROUND: Exposure to arsenic and cadmium is common. Epidemiological and animal studies have suggested that exposure to these two heavy metals can cause metabolic health problems, including type 2 diabetes (T2DM). It has been hypothesized that T2DM could be mediated through the gut microbiome and the metabolites it produces. Although many studies have investigated the association between the gut microbiome and T2DM, few have focused on the connection to arsenic and cadmium. RESULTS: We applied 16S rRNA gene amplicon sequencing and untargeted LC-MS/MS metabolomics to examine the changes in the gut microbiome and metabolite profiles of exposed mice to relevant levels of cadmium and arsenic in the drinking water over two weeks. Cadmium chloride (Cd) exposure significantly changed the mice gut microbiome and resulted in a significantly lower microbial diversity whereas sodium arsenite (As) caused a non-significant decrease in microbial diversity. For Cd and As treatment respectively, we identified 5 and 2 phyla with significant changes and 42 and 24 genera. Bacterial genera that were observed to decline upon both treatments, included several butyrate-producers. Both As and Cd treatment perturbed the metabolome significantly, with 50 ppm Cd compound exposure having the greatest effect when compared to 50 ppm As compound exposure. Two unidentified features were differentially abundant in the As group, while 33 features changed in the Cd group. Differential abundance analysis of all bile acid associated molecular components showed differences under both treatments. Finally, integrative network analysis via bipartite correlation networks suggested that several genera, including the metabolically important Blautia, Eisenbergiella, Clostridium_XlVa, etc. declined in numbers of metabolite interactions. CONCLUSIONS: These results demonstrated that As and Cd exposure caused significant changes to the gut microbiome and metabolome by affecting bile acids, amino acids and taxa associated with metabolic health.