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Viruses with RNA Genomes

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<i>Escherichia</i> Phage Ge15, NRG-P0073: Genomic Characterization and Host Range Analysis Against the ECOR Reference Library.

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NRG-P0074 Viral Sample RU1 from Unclassified Mosigvirus Genomic Characterization and Host Range Analysis.

Rachel M Carson¹, Ranee K Anderson¹, Shijie Qin¹

¹Department of Food Science, Cornell University, Ithaca, New York, USA.

PHAGE (New Rochelle, N.Y.)

|October 31, 2025

Summary

This study characterizes phage NRG-P0074, providing genomic data and host range information. This data aids machine learning models for predicting phage-host interactions and developing phage therapies.

Keywords:

ECOR Library Keio collection NRG-P0074 RU1 bacteriophage machine learning unclassified Mosigvirus

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Area of Science:

Microbiology
Genomics
Bioinformatics

Background:

Machine learning models for phage-host interactions require extensive phage genome and host range data.
Phage-host interaction prediction is crucial for developing targeted phage therapies.

Purpose of the Study:

To characterize the phage sample NRG-P0074, including its genome and host range.
To generate data for machine learning models predicting phage-host interactions.

Main Methods:

Sequencing and annotation of the complete NRG-P0074 genome.
Bioinformatic analysis of genomic features.
Host range determination using the Escherichia coli Reference (ECOR) Library and Keio knockout strains.

Main Results:

The NRG-P0074 genome is 168,357 bp with 37.5% GC content.
NRG-P0074 infected 15.28% of ECOR isolates and all tested Keio knockout strains.
Comparative genomics indicated NRG-P0074 is closely related to E. coli phage a20.

Conclusions:

The study provides essential data for machine learning models in phage-host interaction prediction.
Findings support the development of phage therapies against antibiotic-resistant bacteria.