Project description:Genomic microarrays were used to examine the complex temporal program of gene expression exhibited by bacteriophage T4 during the course of development.The microarray data confirm the existence of distinct early, middle, and late transcriptional classes during the bacteriophage replicative cycle.This approach allows assignment of previously uncharacterized genes to specific temporal classes.The genomic expression data verify many promoter assignments and predict the existence of previously unidentified promoters. Keywords: time course
Project description:Purpose: To investigated the role of MotB in T4 infections Method: NapIV NS were grown to a cell density of ~4 x 10^8 cells/mL (OD600 ~0.4) then infected with either wild-type T4D+ or T4motBam at a MOI of 10. RNA was isolated at 5 post-infection using method II of (Hinton 1989). rRNA subtraction was performed with the bacterial RiboMinus Kit (Ambion) according to manufacturer instructions. cDNA was prepared using the NEBNext strand specific kit (New England BioLabs) according to manufacturer instruction for libraries with 300-450 bp insert size with the following modifications. Illumina adaptors sequences based on TruSeq HT Sample Prep Kits were purchase from Integrated DNA Technologies and used in the ligation step. TruSeq-1 and TruSeq-2 primer were used for PCR enrichment of adaptor ligated DNA. Library size was verified with a Bioanalyzer using an Agilent High Sensitivity DNA kit. The concentration of each library was determined using the KAPA Library Quantification Kit for Illumina platforms. Sequencing was performed by the NIDDK Genomics Core facility using a MiSeq system with the MiSeq 2 x 250 bp Sequencing Kit (Illumina). Result: RNA-seq data revealed that the expression of only six late genes, which decreased from 2 to 4.8-fold, were significantly affected in the T4motBam infection relative to T4 wt at 5 min after infection. The expression of early and middle genes did not change. Conclusion: MotB is a bactericidal DNA-binding protein that improves the fitness of T4 infections.
Project description:Bacteriophages are highly abundant viruses of bacteria. The major role of phages in microbial ecology to shape bacterial communities and their emerging medical potential as antibacterial agents have triggered a rebirth of phage research. It is of particular interest to understand the molecular mechanisms by which phages gain control over their host. Omics technologies such as next-generation sequencing and protein-profiling technologies can provide novel insights into transcriptional and translational events occurring during the infection process. Thereby, the temporal organization of the transcriptome and proteome of the phage and their bacterial hosts can be monitored. In this study, we performed next-generation sequencing and proteomics to study the transcriptome and proteome of the T4 phage and its host during the infection in a time-resolved manner. Our data shows the temporally resolved appearance of bacteriophage T4 transcripts and proteins, confirming previously described subgrouping of T4 gene products into early, middle and late infection phases. We observe specific early transcripts giving rise to middle or late proteins indicating the existence of previously not reported post-transcriptional regulatory mechanisms controlling the translation of T4 mRNAs. Moreover, we investigated the stability of E. coli-originated transcripts and proteins in the course of infection, identifying degradation of E. coli transcripts and preservation of the host proteome. This study provides the first comprehensive insights into the transcriptomic and proteomic takeover by the bacteriophage T4, exemplifying the power and value of high-throughput technologies to simultaneously characterize multiple gene expression events. Moreover, we created a user-friendly application available to the entire scientific community to access gene expression patterns for their host and phage genes of interest.
Project description:Bacteriophages are highly abundant viruses of bacteria. The major role of phages in shaping bacterial communities and their emerging medical potential as antibacterial agents has trig-gered a rebirth of phage research. To understand the molecular mechanisms by which phages hijack their host, omics technologies can provide novel insights into the organization of tran-scriptional and translational events occurring during the infection process. In this study, we ap-ply transcriptomics and proteomics to characterize the temporal patterns of transcription and protein synthesis during T4 phage infection of E. coli. We investigated the stability of E. coli-originated transcripts and proteins in the course of infection, identifying degradation of E. coli transcripts and preservation of the host proteome. Moreover, the correlation of the phage transcriptome and proteome reveals specific T4 phage mRNAs and proteins that are temporally decoupled, suggesting post-transcriptional and translational regulation mechanisms. This study provides the first comprehensive insights into the molecular takeover of E. coli by bacteriophage T4. This data set represents a valuable resource for future studies seeking to study molecular and regulatory events during infection. We created a user-friendly online tool, POTATO4, available to the scientific community to access gene expression patterns for E. coli and T4 genes.
Project description:Purpose: We investigated the effect of the T4 MotB protein on E. coli gene expression Method: E. coli BL21 (DE3) containing either pNW129 or pNW129-MotB were grown to early log phase (OD600 ~ 0.3) then induced with 0.2% arabinose for 20 minutes. T4 phage added to the culture at MOI10. Cells were then harvested at 0, 5, and 10 min time points and total RNA was isolated. The cDNA library was prepared using a modified RNATagSeq workflow as previously described (Shishkin, A.A. et al. 2015 Nat Methods). Optimum fragmentation of the total RNA samples in this library was determined to be 3 min at 94C in FastAP buffer (Thermo Fischer Scientific). The cDNA Library was run on a Bioanalyzer using the Agilent High Sensitivity DNA Kit to evaluate the quality of the library. The concentration of the cDNA library was determined by qPCR using the KAPA Library Quantification Kit (Kapa Biosystems, Wilmington, MA, USA) and CFX96 Real-Time PCR Detection System (Bio-Rad, Hercules, CA, USA). Sequencing was performed by the NIDDK Genomics Core facility using a MiSeq system with the single-end 50 bp Sequencing Kit (Illumina, San Diego, CA, USA). RNA-seq data was processed as previously described using E. coli str. K-12 substr. MG1655 (NC_000913.3) as the reference genome. Differential expression between conditions was represented as a fold change, and genes with both a fold change ≥2 or ≤ 0.5 and adjusted p value ≤ 0.05 were considered significant. Results: RNA-seq data revealed that the expression of 542 E. coli genes were significantly changed after motB expression. The expression of 704 and 706 E. coli genes were changed T4 5 min and 10 min post infection after MotB expression, respectively. After 5 min T4 infection, 34 T4 genes were significantly changed. Conclusion: T4 MotB modifies the pool of host tRNAs, creating a better infection for T4