Project description:After the attachment of the lytic phage T4 to Escherichia coli cells, 1% E. coli cells showed an approximately 40-fold increase in mutant frequency. They were designated as mutator A global transcriptome analysis using microarrays was conducted to determine the difference between parental strain and mutators, and the host responce after adsorption of the phage and the ghost.
Project description:Here, we investigated the impact of Stx2 phage carriage on Escherichia coli (E. coli) K-12 MG1655 host gene expression. Using quantitative RNA-seq analysis, we compared the transcriptome of naïve MG1655 and the lysogens carrying the Stx2 phage of the 2011 E. coli O104:H4 outbreak strain or of the E. coli O157:H7 strain PA8, which share high degree of sequence similarity.
Project description:Understanding gene function through forward genetic screens remains foundational to microbial genetics. Here, we describe the design and implementation of a multi-week course-based undergraduate research experience (CURE) embedded within a third-year Microbial Genetics course. In this CURE, students construct a high-density Tn5 transposon insertion library in Escherichia coli, challenge the library with bacteriophage P1, and use Transposon-Directed Insertion-site Sequencing (TraDIS) coupled with statistical analysis (edgeR) to identify genes required for phage propagation. Students perform transposome electroporation, phage infection assays, genomic DNA extraction, high-throughput sequencing data processing in Galaxy, differential insertion analysis, visualization in Artemis, and Gene Ontology enrichment analysis. The project integrates wet-lab microbiology, molecular genetics, and bioinformatics while modeling an authentic forward genetic screen. This CURE emphasizes experimental design, genome-wide functional analysis, statistical reasoning, and interpretation of large-scale sequencing data. The curriculum is adaptable to other bacterial species, phage systems, or selective pressures and provides a scalable framework for integrating authentic genomics research into upper-level microbiology courses.
Project description:References:
1. Xiaomei Zhu, Lan Yin, Leroy Hood, David Galas and Ping Ao, Efficiency, Robustness and Stochasticity of Gene Regulatory networks in Systems biology: Lambda switch as a working example, 2006.
2. Adam Arkin, John Ross and Harley H. McAdams, Stochastic kinetic analysis of developmental pathway bifurcation in phage lambda-infected Escherichia coli cells, 1998, Genetics, 149: 1633-1648.
3. GenBank sequence: NC_001416 is the whole genome sequence of phage lambda.
Project description:Retrons are prokaryotic genetic elements involved in anti-phage defense and consist of a non-coding RNA, a reverse transcriptase (RT), and various effector proteins. Retron-Eco7 (previously known as Retron-Ec78) from Escherichia coli encodes two effector proteins (a PtuA ATPase and a PtuB nuclease) and degrades host tRNATyr upon phage infection, thereby protecting host cells against invading phages. However, its defense mechanism remains elusive. Here, we report the cryo-electron microscopy structures of the Retron-Eco7 complex, comprising the RT, multicopy single-stranded DNA (msDNA), PtuA, and PtuB. The Retron-Eco7 structure reveals that the RT–msDNA complex associates with two PtuA–PtuB complexes, potentially inhibiting their nuclease activity and suppressing bacterial growth arrest prior to phage infection. Furthermore, we found that a phage-encoded D15 nuclease acts as a trigger for the Retron-Eco7 system, cleaving the msDNA bound to the complex and facilitating the dissociation of PtuA–PtuB from RT–msDNA. Our data indicate that msDNA cleavage by D15 is the initial step required for the specific cleavage of host tRNATyr by the PtuA–PtuB nuclease, which leads to abortive infection. Overall, this study provides mechanistic insights into the Retron-Eco7 system and highlights the diversity of prokaryotic anti-phage defense mechanisms.
Project description:After the attachment of the lytic phage T4 to Escherichia coli cells, 1% E. coli cells showed an approximately 40-fold increase in mutant frequency. They were designated as mutator A global transcriptome analysis using microarrays was conducted to determine the difference between parental strain and mutators.