Project description:The interaction of an array of volatile organic compounds (VOCs) termed bacterial volatile compounds (BVCs) with plants is now a major area of study under the umbrella of plant-microbe interactions. Many growth systems have been developed to mediate the investigation of these interactions in vitro. However, each of these systems have their benefits and drawbacks with respect to one another and can greatly influence the end-point interpretation of the BVC effect on plant physiology. To address the need for novel growth systems in BVC-Plant interactions our study investigated the use of a passively-ventilated growth system, made possible via Microbox® growth chambers, to determine the effect of BVCs emitted by six bacterial isolates from the genera Bacillus, Serratia and Pseudomonas. Solid-phase microextraction/GC-MS was utilized to determine the BVC profile of each bacterial isolate when cultured in three different growth media each with varying carbon content. 70 BVCs were identified in total with alcohols and alkanes being the most abundant. When cultured in tryptic soy broth, all six isolates were capable of producing 2,5-dimethylpyrazine, however BVC emission associated with this media were deemed to have negative effects on plant growth. The two remaining media types, namely Methyl Red-Voges Proskeur and Murashige and Skoog, were selected for bacterial growth in co-cultivation experiments with Solanum tuberosum cv. ‘Golden Wonder’. The BVC emissions of Bacillus and Serratia isolates cultured on MR-VP induced alterations in the transcriptional landscape of potato across all treatments with 956 significantly differentially expressed genes. Our results indicate that this novel approach to determining BVC-mediated growth effects on plants is a viable alternative and induced differential growth-promotion based on bacterial isolate and the respective media type on which they were cultured. Surprisingly, genes associated with plant defence were often observed to be downregulated in our system whereas genes associated with photosynthesis and plant cell division were upregulated.
Project description:Knock out mutant of asnC transcriptional regulator (NMB0573) in N. meningitidis MC58 compared to parent strains (capsule deletion mutant) grown in normal bacterial solid media plate conditions.
Project description:Knock out mutants of MarR transcriptional regulator (NMB1585) in N. meningitidis and N. gonorrhoeae compared to parent strains (capsule deletion mutant and wild-type respectively) grown in normal bacterial solid media plate conditions.
Project description:We isolated and sequenced mRNA from Streptomyces venezuelae grown on two different solid media that promote exploratory behaviour in this bacterial species. The data was analyzed using DeSeq2 to identify genes that undergo changes in expression over time as well as differences in gene expression patterns between the two media conditions.
Project description:This project aimed at detecting and identifying the various lipopeptides produced by a collection of 724 strains belonging to the Pseudomonas syringae complex. Analyses were performed on whole-cells after growth on solid media at 25 degrees celsius for 72 hours.
Project description:This project aimed at detecting and identifying the various lipopeptides produced by a collection of 724 strains belonging to the Pseudomonas syringae complex. Analyses were performed on whole-cells after growth on solid media at 25 degrees Celsius for 72 hours.
Project description:We isolated and sequenced mRNA from Streptomyces venezuelae grown on two different solid media that promote different growth behaviour in this bacterial species. The data was analyzed using DeSeq2 to identify genes that undergo changes in expression over time as well as differences in gene expression patterns between the two media conditions.
Project description:Within the scope of a technical note we tested our MetaProteomeAnalyzer Portable software workflow on experimental data sets from samples with known composition. For generating a benchmarking data set, the bacterial strains (5BCT) Bacillus subtilis, Escherichia coli, Pseudomonas fluorescens, Micrococcus luteus and Desulfovibrio vulgaris were mixed with a protein ratio of 1:1:1:1:1.