The R gene of the phage lambda coding for a lysozyme expressed at the end of an infection cycle in Escherichia coli has been cloned in a series of vector plasmids. Two methods for improving the efficiency of translation have been tested. First, the use of a bicistronic construction in which the ribosome binding site (RBS) of the first cistron is that of a highly expressed gene or the use of a degenerate mixture of synthetic oligonucleotides for the optimization of a RBS. The second strategy is more efficient: the analysis of a number of clones reveals that the LaL expression levels are increased by a factor between 3 and 6 times compared with the clone using the natural RBS. The expression levels are described by an approximately Gaussian histogram. The translation promoter that was found to afford the best expression (PL) is under the control of a thermolabile repressor. Under the expression conditions, the protein is partially proteolysed. The proteolysis is significantly decreased by adding salt to the growth medium. After optimization, an increase in expression by a factor of 40 is obtained compared with the initial conditions. An efficient purification protocol is described.
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http://dx.doi.org/10.1093/protein/4.4.485 | DOI Listing |
Appl Microbiol Biotechnol
January 2025
Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224, Warsaw, Poland.
Bacteriophage infections in bacterial cultures pose a significant challenge to industrial bioprocesses, necessitating the development of innovative antiphage solutions. This study explores the antiphage potential of indigo carmine (IC), a common FDA-approved food additive. IC demonstrated selective inactivation of DNA phages (P001, T4, T1, T7, λ) with the EC values ranging from 0.
View Article and Find Full Text PDFAntibiotics (Basel)
January 2025
Department of Microbiology and Molecular Genetics, UTHealth-Houston, Houston, TX 77030, USA.
: FtsZ, a eukaryotic tubulin homolog and an essential component of the bacterial divisome, is the target of numerous antimicrobial compounds as well as proteins and peptides, most of which inhibit FtsZ polymerization dynamics. We previously showed that the Kil peptide from bacteriophage λ inhibits cell division by disrupting FtsZ ring assembly, and this inhibition requires the presence of the essential FtsZ membrane anchor protein ZipA. : To investigate Kil's molecular mechanism further, we employed deletions, truncations, and molecular modeling to identify the minimal residues necessary for its activity.
View Article and Find Full Text PDFVaccines (Basel)
January 2025
Laboratory for Plague Microbiology, Especially Dangerous Infections Department, State Research Center for Applied Microbiology and Biotechnology, 142279 Obolensk, Russia.
Bacterial ghosts (BGs), non-living empty envelopes of bacteria, are produced either through genetic engineering or chemical treatment of bacteria, retaining the shape of their parent cells. BGs are considered vaccine candidates, promising delivery systems, and vaccine adjuvants. The practical use of BGs in vaccine development for humans is limited because of concerns about the preservation of viable bacteria in BGs.
View Article and Find Full Text PDFAppl Microbiol Biotechnol
January 2025
Departamento de Genética y Biología Molecular, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional No, 2508, C.P. 07360, Mexico City, Mexico.
One of the most significant bacteriophage technologies is phage display, in which heterologous peptides are exhibited on the virion surface. This work describes the display of λ decorative protein D linked to the E protein domain III of Zika virus (D-ZE), to the GFP protein (D-GFP), or to different domain III epitopes of the E protein (D-TD), exhibited on the surface of an in vitro evolved lambda phage (λ). This phage harbors a gene D deletion and was subjected to directed evolution using Escherichia coli W3110/pD-ZE as background.
View Article and Find Full Text PDFVirus Evol
November 2024
Department of Biology, University of Maryland, College Park, MD 20742, USA.
The enormous diversity of bacteriophages and their bacterial hosts presents a significant challenge to predict which phages infect a focal set of bacteria. Infection is largely determined by complementary-and largely uncharacterized-genetics of adsorption, injection, cell take-over, and lysis. Here we present a machine learning approach to predict phage-bacteria interactions trained on genome sequences of and phenotypic interactions among 51 strains and 45 phage λ strains that coevolved in laboratory conditions for 37 days.
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