Lactococcus phage phiQ1
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REPOSITORIES: ENA
Similar Datasets
Project description:Lactococcus lactis phage phiL47 Genome sequencing
| PRJNA223502 | ENA
Project description:Lactococcus phage 936 sensu lato overview
| PRJNA69559 | ENA
Project description:Phages are viruses that specifically infect and kill bacteria. Bacterial fermentation and biotechnology industries see them as enemies, however, they are also investigated for the treatment or prevention of infections caused by multidrug resistant bacteria. Whether foes or allies, their importance is undeniable. Despite decades of research some aspects of phage biology are still poorly understood. In this study, we used label-free quantitative proteomics to reveal the proteotypes of Lactococcus lactis MG1363 during infection by the virulent phage p2, a model for studying the biology of phages infecting Gram-positive bacteria. Our approach resulted in the high-confidence detection and quantification of 59% of the theoretical bacterial proteome, including 226 bacterial proteins detected only during phage infection and 6 proteins unique to uninfected bacteria. We also identified many bacterial proteins of differing abundance during the infection. Using this high-throughput proteomic datasets, we selected specific bacterial genes for inactivation using CRISPR-Cas9 to investigate their involvement in phage replication. One knockout mutant lacking gene llmg_0219 showed resistance to phage p2 due to a deficiency in phage adsorption. Furthermore, we detected and quantified 78% of the theoretical phage proteome and identified many proteins of phage p2 that had not been previously detected. Among others, we uncovered a conserved small phage protein (ORFN1) coded by an unannotated gene. We also applied a targeted approach to achieve greater sensitivity and identify undetected phage proteins that were expected to be present. This allowed us to follow the fate of ORF46, a small phage protein of low abundance. In summary, this work offers a unique view of the virulent phages’ takeover of bacterial cells and provides novel information on phage-host interactions.
2019-01-29 | PXD011263 | Pride
Project description:Complete genome sequence of Lactococcus petauri
| PRJDB17839 | ENA
Project description:Complete genome sequence of Lactococcus garvieae
| PRJDB17841 | ENA
Project description:DDA analysis of phage phiR201 infecting Yersinia enterocolitica using the six-frame translated viral genome as a sequence database
2018-03-27 | MSV000082215 | MassIVE
Project description:The lactococcal phage p2 is a model for studying the Skunavirus genus, the most prevalent group of phages in cheese factories worldwide. It infects L. lactis MG1363, a model strain for the study of Gram-positive bacteria. The structural proteins of phage p2 have been thoroughly described. However, most of its non-structural proteins are still uncharacterized. Here, we developed an integrative approach, making use of structural biology, genomics, physiology, and proteomics to provide insights into the function of ORF47, the most conserved non-structural protein of unknown function among the Skunavirus genus. We found this small phage protein to have a major impact on the bacterial proteome and to be important to prevent bacterial resistance to phage infection.
2020-07-30 | PXD013186 | Pride
Project description:Bacteriophage infection of Lactococcus lactis strains used in the manufacture of fermented milk products is a major threat for the dairy industry. A greater understanding of the global molecular response of the bacterial host following phage infection has the potential to identify new targets for the design of phage control measures for biotechnological processes. In this study, we have used whole-genome oligonucleotide microarrays to gain insights into the genomic intelligence driving the instinctive response of L. lactis subsp. lactis IL1403 to the onset of a challenge with the lytic prolate-headed phage c2. Following phage adsorption, the bacterium differentially regulated the expression of 61 genes belonging to 14 functional categories, and mostly to cell envelope (12 genes), regulatory functions (11 genes), and carbohydrate metabolism (7 genes). The nature of the differentially regulated genes suggests the orchestration of a complex response involving induction of cell envelope stress proteins, D-alanylation of cell-wall lipoteichoic acids (LTAs), restoration of the proton motive force (PMF), and energy conservation. Increased D-alanylation of LTAs would act as an adsorption blocking mechanism, which we speculate may allow the survival of a small percent of the cell population when facing more realistic in vivo low titer-phage attacks. The modification of LTAs decoration in response to phage c2 adsorption also suggests these cell wall structures as possible primary receptors for this phage. Restoration of a physiological PMF is achieved by regulating the expression of genes affecting the two main components of the PMF, and serves to reverse a drastic depolarization of the host membrane caused by phage adsorption. Down-regulation of energy-consuming metabolic activities and a switch to anaerobic respiration helps the bacterium to save energy in order to sustain the PMF and the overall response to phage. We finally propose that the overall transcriptional response of L. lactis IL1403 to the phage stimuli is orchestrated by the concerted action of Phage Shock Proteins and of the bivalent transcriptional regulator SpxB following activation by the two-component system CesSR. To our knowledge, this represents the first detailed description in L. lactis, and probably in Gram-positive bacteria, of the molecular mechanisms involved in the host response to the membrane perturbation mediated by phage adsorption.
2010-12-15 | GSE26042 | GEO
Project description:Sequence overlap between two genes is common across all genomes, with viruses having particularly high proportions of these gene overlaps. The natural biological function and effects on fitness of gene overlaps are not fully understood and their effects on gene cluster and genome-level refactoring are unknown.The model bacteriophage φX174 genome displays complex sequence architecture in which ~26% of nucleotides are involved in encoding more than one gene. In this study we use an engineered φX174 phage containing a genome with all gene overlaps removed.
Here we have temporally measured the proteome of a synthetically engineered and wild-type φX174 during infection. We find that almost half of all phage proteins (5/11) have abnormal expression profiles after genome modularisation.
2021-06-15 | PXD019681 | panorama
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.
2005-01-01 | MODEL1308080003 | BioModels