Project description:In general, the endosphere isolate EC18 showed more numbers of genes significantly altered in the presence of root exudates than the soil isolate SB8 . Some of the altered genes in the two strains showed overlap. Some of these genes were previously reported to be involved in microbe-plant interactions, such as organic substance metabolism, oxidation reduction, transmembrane transportation and a subset with putative or unknown function. It was also found some genes showed opposite trend among the two strains.
Project description:Summary: Salmonella enterica serovar Typhimurium strain 14028s transcriptome response to DS soil suspension (DS) and suspension of autoclaved DS soil (DA) compared to minimal medium (MM). Purpose: Salmonella mRNA profile, when grown in different media was compared to minimal medium to reveal environment specific transcriptional changes. Methods: mRNA profiles were generated using Illumina HiSeq in triplicates. The sequences were analysed using Bowtie2 followed by Cufflinks.
Project description:M. oryzae 70-15 was treated with multiple bacteria which inhibit 70-15's growth. The bacterial treatments were EA105, a pseudomonad naturally isolated from rice soil, as well as P. fluorescens biocontrol strain CHAO and the cyanide non-producing mutant of CHAO, CHA77.
Project description:Metagenomic sequencing provides a window into microbial community structure and metabolic potential; however, linking these data to exogenous metabolites that microorganisms process and produce (the exometabolome) remains challenging. Previously, we observed strong exometabolite niche partitioning among bacterial isolates from biological soil crust (biocrust). Here we examine native biocrust to determine if these patterns are reproduced in the environment. Overall, most soil metabolites display the expected relationship (positive or negative correlation) with four dominant bacteria following a wetting event and across biocrust developmental stages. For metabolites that were previously found to be consumed by an isolate, 70% are negatively correlated with the abundance of the isolate’s closest matching environmental relative in situ, whereas for released metabolites, 67% were positively correlated. Our results demonstrate that metabolite profiling, shotgun sequencing and exometabolomics may be successfully integrated to functionally link microbial community structure with environmental chemistry in biocrust.