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Deep metagenomic mining reveals bacteriophage sequence motifs driving host specificity

Authors :
Phil Huss
Kristopher Kieft
Anthony Meger
Kyle Nishikawa
Karthik Anantharaman
Srivatsan Raman
Source :
bioRxiv
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

Bacteriophages can adapt to new hosts by altering sequence motifs through recombination or convergent evolution. Where such motifs exist and what fitness advantage they confer remains largely unknown. We report a new method, Bacteriophage Library Informed Sequence Scoring (BLISS), to discover sequence motifs in metagenomic datasets governing phage activity. BLISS uses experimental deep mutational scanning data to create sequence profiles to enable deep mining of metagenomes for functional motifs which are otherwise invisible to searches. We experimentally tested 10,073 BLISS-derived sequence motifs for the receptor-binding protein of the T7 phage. The screen revealed hundreds of T7 variants with novel host specificity with functional motifs sourced from distant families besides other major phyla. Position, substitution and location preferences on T7 dictated different specificities. To demonstrate therapeutic utility, we engineered highly active T7 variants against urinary tract pathogens. BLISS is a powerful tool to unlock the functional potential encoded in phage metagenomes.

Subjects

Subjects :
Article

Details

Database :
OpenAIRE
Journal :
bioRxiv
Accession number :
edsair.doi.dedup.....a7856dd6d59fd199e087108aa50b32f1
Full Text :
https://doi.org/10.1101/2023.02.07.527309