The study of bacteriophages (viruses of bacteria) includes a variety of approaches, such as structural biology, genetics, ecology, and evolution, with increasingly important implications for therapeutic and industrial uses. Researchers working with phages in France have recently established a network to facilitate the exchange on complementary approaches, but also to engage new collaborations. Here, we provide a summary of the topics presented during the second meeting of the French Phage Network that took place in Marseille in November 2016.
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http://dx.doi.org/10.3390/v9040087 | DOI Listing |
Sci Rep
December 2024
Pharmacy Department, Hospices Civils de Lyon, Hôpital E. Herriot, Plateforme FRIPHARM, 69437, Lyon, France.
Phage therapy uses viruses (phages) against antibiotic resistance. Tailoring treatments to specific patient strains requires stocks of various highly concentrated purified phages. It, therefore, faces challenges: titration duration and specificity to a phage/bacteria couple; purification affecting stability; and highly concentrated suspensions tending to aggregate.
View Article and Find Full Text PDFISME J
January 2025
Université Paris Cité, INSERM, IAME, Paris 75018, France.
Escherichia coli is an increasingly antibiotic-resistant opportunistic pathogen. Few data are available on its ecological and evolutionary dynamics in its primary commensal niche, the vertebrate gut. Using Illumina and/or Nanopore technologies, we sequenced whole genomes of 210 E.
View Article and Find Full Text PDFGut Microbes
November 2024
Microbes, Intestin, Inflammation et Susceptibilité de l'Hôte (M2iSH), Université Clermont Auvergne/Inserm U1071, USC INRAE 1382, Clermont-Ferrand, France.
Nat Microbiol
November 2024
Institut Pasteur, Université Paris Cité, INSERM U1284, SEED, Molecular Diversity of Microbes lab, Paris, France.
Predicting bacteriophage infection of specific bacterial strains promises advancements in phage therapy and microbial ecology. Whether the dynamics of well-established phage-host model systems generalize to the wide diversity of microbes is currently unknown. Here we show that we could accurately predict the outcomes of phage-bacteria interactions at the strain level in natural isolates from the genus Escherichia using only genomic data (area under the receiver operating characteristic curve (AUROC) of 86%).
View Article and Find Full Text PDFmBio
December 2024
Centre National de la Recherche Scientifique UMR 9004, Institut de Recherche en Infectiologie de Montpellier (IRIM), Université de Montpellier, Montpellier, France.
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