Project description:This study explores the effects of prolonged stationary phase, on whole genome expression of Escherichia coli. In summary these results imply that prolonged stationary phase cells have shown less growth rate compared to fresh cells due to the low abundance of transcripts for translation initiation factor infC, and for all the seven rrn operons of 5S, 16S, 23S ribosomal RNA which further delayed in protein synthesis leading to low biomass in prolonged stationary phase cells.
Project description:Here we report a direct tRNA sequencing protocol and software to simultaneously examine the composition and biological activity of naturally occurring microbial communities. Our analysis of mouse gut microbiome with tRNA-seq and 16S ribosomal RNA gene amplicons revealed comparable microbial community structures, and additional physiological insights into the microbiome through tRNA abundance and modifications.
Project description:This study explores the effects of prolonged stationary phase, on whole genome expression of Escherichia coli. In summary these results imply that prolonged stationary phase cells have shown less growth rate compared to fresh cells due to the low abundance of transcripts for translation initiation factor infC, and for all the seven rrn operons of 5S, 16S, 23S ribosomal RNA which further delayed in protein synthesis leading to low biomass in prolonged stationary phase cells. 28 days old E.coli cells were grown in the presence of LB broth and LB broth supplemented with 10% v/v glycerol. RNA was extracted from these samples, cDNA was prepared, fragmented cDNA was labled with labeling reagent and hybridized with Affymetrix E.coli2.0 genome array chips.Data was analysed to get the effect of glycerol on E.coli gene expression
Project description:In this study, microbial communities from triplicate leach-bed anaerobic bioreactors digesting grass were analysed. Each reactor comprised two microbial fractions, one immobilized on grass (biofilm) and the other in a planktonic state present in the leachate. Microbial communities from the two fractions were systematically investigated for community composition and function. This was carried out using DNA, RNA and protein co-extraction. The microbial structure of each fraction was examined using 16S rRNA deep sequencing, while the active members of the consortia were identified using the same approach on cDNA generated from co-extracted RNA samples. Microbial function was investigated using a metaproteomic workflow combining SDS-PAGE and LC-MS/MS analysis.
Project description:Analysis of microbial community composition in arctic tundra and boreal forest soils using serial analysis of ribosomal sequence tags (SARST). Keywords: other
Project description:Neonatal mice were susceptible to cryptosporidium infection at 1- and 2-weeks of age, but were resistant to infection at 3- and 6-weeks of age. Diet and microbial changes are known to occur during the weaning transition in mice and we hypothesized that these changes in the intestinal luminal environment might influence resistance and susceptibility to cryptosporidium infection. As one part of testing this hypothesis, cecal microbiota composition was determined by 16S ribosomal RNA sequencing of DNA isolated from the cecal contents of mice at 1 week, 2 weeks, 3 weeks, and 6 weeks of age.
Project description:Synthetic microbial consortia represent a new frontier for synthetic biology given that they can solve more complex problems than monocultures. However, most attempts to co-cultivate these artificial communities fail because of the ‘‘winner-takes-all’’ in nutrients competition. In soil, multiple species can coexist with a spatial organization. Inspired by nature, here we show that an engineered spatial segregation method can assemble stable consortia with both flexibility and precision. We create microbial swarmbot consortia (MSBC) by encapsulating subpopulations with polymeric microcapsules. The crosslinked structure of microcapsules fences microbes, but allows the transport of small molecules and proteins. MSBC method enables the assembly of various synthetic communities and the precise control over the subpopulations. These capabilities can readily modulate the division of labor and communication. Our work integrates the synthetic biology and material science to offer new insights into consortia assembly and server as foundation to diverse applications from biomanufacturing to engineered photosynthesis.