Project description:To determine whether flow alters the gene expression of planktonic P. aeruginosa, we designed a long microfluidic channel that enabled us to expose bacteria to flow for significant lengths of time and then be fixed as they exit the channel. The experiments mimic the kinds of shear flows characteristic of a wide variety of confined flow configurations. Using this microfluidic system, we performed bulk RNA-Seq analysis of planktonic bacteria that flowed for 55 min at a shear rate of 20 per second, and compared gene expression of this population with a control population of planktonic bacteria under similar conditions with no flow.
Project description:Strain N16961 was incubated with crab shell in artificial seawater media for 24 hours. cDNA from 1 ug RNA was labeled with Cy3 (planktonic bacteria) and Cy5 (crab attached bacteria).
Project description:Transition of microbial growth from planktonic to biofilm is associated with programmed changes in the global patterns of gene expression. These changes are likely to faciliate the appropriate physiological and metabolic adjustments that bacteria need to make during the development of biofilms. Using microarrays we have examined the changes in pattern of gene expression associated with growth of Mycobacterium smegmatis in various stages of planktonic and biofilm cultures. Keywords: developmental time course
Project description:To reveal the transcriptional profiles of Actinobacillus pleuropneumoniae under biofilm and planktonic growth, we established a biofilm-forming culture method and constructed a mutant strain Δpga with defect in biofilm formation. Wild-type and Δpga mutant strains of Actinobacillus pleuropneumoniae strain 4074 were cultured in bottles with shaking for planktonic (WT_PK) and in microplates in static status for biofilm (WT_BF, Δpga), respectively. The bacteria in logarithmic growth period of different culture groups were collected for RNA seq.
Project description:Purpose: The goal of this study was to use RNA-seq to define the Klebsiella pneumoniae transcriptome recorded under 5 different experimental conditions, and to identify signature genes of each condition by comparing global transcriptional profiles. Methods: mRNA profiles were generated for Klebsiella pneumoniae CH1034 clinical isolate, in triplicate, by deep sequencing. Total RNAs were harvested from bacteria cultured at 37°C in M63B1 minimal media under different conditions: (i) planktonic aerobic condition at OD 620nm=0.250 (exponential growth-phase), (ii) overnight planktonic aerobic condition (stationnary growth-phase), (iii) biofilm in a flow-cell chamber after 7 hours of incubation (7-hours old biofilm), (iv) biofilm in a flow-cell chamber after 13 hours of incubation (13-hours old biofilm), (v) bacteria self-dispersed from biofilm recovered in the flow-cell effluent (biofilm-dispersed bacteria). Ribosomal RNAs were removed using the Bacteria Ribo-Zero Magnetic kit (Epicentre Biotechnologies). Libraries were prepared using the TruSeq Stranded mRNA Sample Preparation kit (Illumina), and 50bp single-reads were obtained by HiSeq 2000 (Illumina).The sequence reads that passed FastQC quality filters were mapped to the CH1034 genome using BurrowsâWheeler Aligner (BWA) (0.7.12-r1039 version). The transcript levels were determined using HTSeq-count (0.6.1p1 version) with union mode followed by DESeq (1.16.0 version) analysis. qRTâPCR validation was performed using SYBR Green assays. Results: We found that each condition has a specific transcriptional profile, and we identify 4 robust signature genes for each. Conclusion: Our study represents the first detailed analysis of K. pneumoniae transcriptomes under different experimental conditions generated by RNA-seq technology. The data reported here should permit the dissection of complex biologic functions involved in the transition between the sessile and planktonic modes of growth. Determination of the transcriptional profiling of Klebsiella pneumoniae under 5 different experimental conditions. mRNA profiles were generated for bacteria under exponential planktonic growth-phase, stationary planktonic growth-phase, 7 hours-old biofilm, 13 hours-old biofilm and biofilm-dispersed modes, each in three biological replicates, by deep sequencing using Illumina HiSeq