Antibiotic class shapes O-antigen-dependent phage outcomes in a clinical Pseudomonas aeruginosa isolate

ABSTRACT Pseudomonas aeruginosa is a high-priority opportunistic pathogen characterized by significant genetic plasticity and increasing multidrug resistance. Although phage–antibiotic combinations are increasingly explored to combat antimicrobial resistance, whether these interactions are synergistic or antagonistic and how different antibiotic classes influence phage replication and the subsequent development of resistance remain unclear. In this study, we examined combinations of the O-antigen-dependent phage phipa10 with amikacin (AMK), levofloxacin (LEV), or meropenem (MEM) against P. aeruginosa ZS-PA-35. At 24 h, the combinations showed antibiotic-dependent patterns of bacterial growth suppression. High concentrations of amikacin and meropenem reduced the extracellular yield of infectious phipa10. The highest tested levofloxacin concentration also reduced the recovered phage yield. Whole-genome sequencing of phage-resistant mutants showed that meropenem treatment drove large chromosomal deletions encompassing galU and hmgA , resulting in a characteristic brown pigmentation phenotype. LEV-selected isolates carried smaller deletions involving galU , whereas AMK-selected isolates shared a galU substitution. In a Galleria mellonella infection model, phipa10–antibiotic combinations improved host survival relative to either treatment alone, although the magnitude of the benefit varied across antibiotic classes. The meropenem combination yielded the highest observed survival proportion despite reduced phage yield in vitro . These results show that bacterial suppression, infectious phage yield, and resistance outcomes can diverge among the three tested antibiotic partners. IMPORTANCE Phage–antibiotic combinations may affect bacterial suppression, phage yield, and resistance-associated phenotypes differently. We compared three antibiotic partners in a single Pseudomonas aeruginosa –phage system. The observed growth, genetic, and larval survival outcomes varied across the tested treatments. Reduced phage yield did not preclude improved survival in the infection model. These observations support evaluating multiple outcomes when assessing a phage–antibiotic combination. Their broader relevance requires validation with additional isolates, phages, and antibiotics.

Authors

Institutions

Publication Details

Journal
Applied and Environmental Microbiology
Published
2026-11-04
DOI
https://doi.org/10.1128/aem.01675-26
Primary Topic
Bacteriophages and microbial interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Antibiotic class shapes O-antigen-dependent phage outcomes in a clinical Pseudomonas aeruginosa isolate

Yuzhang Shan, Demeng Tan, 高晓东, Bijie Hu et al.
Applied and Environmental Microbiology
Bacteriophages and microbial interactions
article

Antibiotic class shapes O-antigen-dependent phage outcomes in a clinical Pseudomonas aeruginosa isolate

Yuzhang Shan, Demeng Tan, 高晓东, Bijie Hu, Jue Pan, Zhu Beidi, Wenting Jin, Jiabing Lin, Suzhen Wang, Rong Bao, Wu Yuan, Yuxuan Yang, Ziyun Cheng, Lijuan Hu, Na Li, Chunmei Zhou, Zhangzhang Chen, Kaige Wang, Fangyuan Chen, Dandan Li
article en

Abstract

ABSTRACT Pseudomonas aeruginosa is a high-priority opportunistic pathogen characterized by significant genetic plasticity and increasing multidrug resistance. Although phage–antibiotic combinations are increasingly explored to combat antimicrobial resistance, whether these interactions are synergistic or antagonistic and how different antibiotic classes influence phage replication and the subsequent development of resistance remain unclear. In this study, we examined combinations of the O-antigen-dependent phage phipa10 with amikacin (AMK), levofloxacin (LEV), or meropenem (MEM) against P. aeruginosa ZS-PA-35. At 24 h, the combinations showed antibiotic-dependent patterns of bacterial growth suppression. High concentrations of amikacin and meropenem reduced the extracellular yield of infectious phipa10. The highest tested levofloxacin concentration also reduced the recovered phage yield. Whole-genome sequencing of phage-resistant mutants showed that meropenem treatment drove large chromosomal deletions encompassing galU and hmgA , resulting in a characteristic brown pigmentation phenotype. LEV-selected isolates carried smaller deletions involving galU , whereas AMK-selected isolates shared a galU substitution. In a Galleria mellonella infection model, phipa10–antibiotic combinations improved host survival relative to either treatment alone, although the magnitude of the benefit varied across antibiotic classes. The meropenem combination yielded the highest observed survival proportion despite reduced phage yield in vitro . These results show that bacterial suppression, infectious phage yield, and resistance outcomes can diverge among the three tested antibiotic partners. IMPORTANCE Phage–antibiotic combinations may affect bacterial suppression, phage yield, and resistance-associated phenotypes differently. We compared three antibiotic partners in a single Pseudomonas aeruginosa –phage system. The observed growth, genetic, and larval survival outcomes varied across the tested treatments. Reduced phage yield did not preclude improved survival in the infection model. These observations support evaluating multiple outcomes when assessing a phage–antibiotic combination. Their broader relevance requires validation with additional isolates, phages, and antibiotics.

Applied and Environmental Microbiology
Shanghai Medical College of Fudan University (CN), Fudan University (CN), Shanghai Public Health Clinical Center (CN), Zhongshan Hospital (CN)
Openalex Percentile: Top 18%
Bacteriophages and microbial interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon