Project description:The identification of processes activated by specific microbes during microbiota colonization of plant roots has been hampered by technical constraints in metatranscriptomics. These include lack of reference genomes, high representation of host or microbial rRNA sequences in datasets, or difficulty to experimentally validate gene functions. Here, we recolonized germ-free Arabidopsis thaliana with a synthetic, yet representative root microbiota comprising 106 genome-sequenced bacterial and fungal isolates. We used multi-kingdom rRNA depletion, deep RNA-sequencing and read mapping against reference microbial genomes to analyse the in-planta metatranscriptome of abundant colonizers. We identified over 3,000 microbial genes that were differentially regulated at the soil-root interface. Translation and energy production processes were consistently activated in planta, and their induction correlated with bacterial strains’ abundance in roots. Finally, we used targeted mutagenesis to show that several genes consistently induced by multiple bacteria are required for root colonization in one of the abundant bacterial strains (a genetically tractable Rhodanobacter). Our results indicate that microbiota members activate strain-specific processes but also common gene sets to colonize plant roots.
2023-11-03 | GSE231841 | GEO
Project description:Spoilage microbiota in retail packaged broiler meat
Project description:A prototype oligonucleotide microarray was designed to detect and identify viable bacterial species with the potential to grow of common beer spoilage microorganisms from the genera Lactobacillus, Megasphaera, Pediococcus and Pectinatus. Probes targeted the intergenic spacer regions (ISR) between 16S and 23S rRNA, which were amplified in a combination of reverse transcriptase (RT) and polymerase chain reaction (PCR) prior to hybridization. This method allows the detection and discrimination of single bacterial species in a complex sample. Furthermore, microarrays using oligonucleotide probes targeting the ISR allow the distinction between viable bacteria with the potential to grow and non-growing bacteria. The results demonstrate the feasibility of oligonucleotide microarrays as a contamination control in food industry for the detection and identification of spoilage microorganisms within mixed population. Keywords: microarray, oligonucleotide, species-specific, detection, beer spoilage bacteria
Project description:Lactococcus piscium strain MKFS47 is a psychrotrophic spoilage lactic acid bacterium, isolated from the cold-stored modified atmosphere packaged broiler filet strips with the first signs of spoilage. For the experiment L. piscium MKFS47 was grown in MRS broth without acetate with 2% glucose, samples were taken at 3h, 5h and 11h in three replicates. The extracted RNA was sequenced using SOLiD 5500XL. RNA-seq reads were mapped against L. piscium MKFS47 genome and were counted per gene using Lifescope software. The experiment was conducted to identify the time-course differential expression of the L. piscium MKFS47 genes.
Project description:miRNA profiling of bovine satellite cells (BSC) differentiated into myotubes (6th day of in vitro differentiation). BSC isolated from m. semitendinosus of beef (Hereford & Limousine) and dairy (Holstein-Friesian) cattle. Goal was to determine differences in miRNA expresion during in vitro myogenesis in beef vs dairy cattle used as a control.
Project description:Beef constitutes one of the main food sources worldwide due to its high quality protein and other nutrients. Beef tenderness is one of the most important factors influencing the edible quality. To date, a large number of molecular studies have focused on the exploration of mechanisms to form beef tenderness. DNA methylation is the most studied epigenetic modification and research revealed that DNA methylation plays important roles in diverse process. However, the genome-wide DNA methylation regulation on beef quality and tenderness remains unknown. In this study, we reported the DNA methylome profiling related to divergent tenderness of beef. We found that more reads are harbored in the intron, exon and repeat elements of genes of beef. We identified the DMRs between tender and tough beef. And results showed that DNA methylation levels in different part of genome or divergent tenderness are significantly differed. Then we annotated the DMRs and identified the top pathways DMRs are involved in. Meanwhile, we also explored the relationship between DNA methylation and gene expression. This study describes the detail DNA methylome profiling related with beef quality and may provide new strategies for exploring the mechanism of beef quality.