Scalable genetic screen maps bacterial genes required for phage infection across Klebsiella strains

Published in PLOS Genetics, a study by Gittrich and colleagues uses high-throughput RB-TnSeq screens to identify both shared and phage-specific bacterial genetic requirements for bacteriophage infection in Klebsiella.

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Researchers led by Marissa R. Gittrich and colleagues, including groups at the Wellcome Sanger Institute and the University of California San Diego, have published a study in PLOS Genetics using scalable random barcoded transposon-insertion sequencing (RB-TnSeq) to map bacterial genetic determinants that govern bacteriophage-host specificity in Klebsiella — a genus of bacteria that includes clinically and ecologically important species.

Bacteriophages are viruses that infect bacteria and are being catalogued at an accelerating pace, but the bacterial genes that determine whether a given phage can successfully infect its host remain poorly characterised, particularly at scale. The study reveals both cross-family conserved requirements — genes needed by multiple phage types — and phage-specific requirements, where individual phage lineages depend on distinct bacterial gene products for infection success.

The work is relevant to researchers in microbial genetics, phage biology, and evolutionary genomics. It also connects to translational research interest in phage therapy, where understanding bacterial resistance determinants at the genetic level is important for selecting effective phage candidates. The study is published in a peer-reviewed journal.

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  1. Primary source Public Library of Science · 2026-07-20
    Cross-family and phage-specific gene requirements for Klebsiella infection revealed by scalable RB-TnSeq genetic screens

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bacteriophage klebsiella rb-tnseq phage-host-specificity microbial-genetics phage-biology plos-genetics
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Educational summaries of public genetics news

Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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