Climate-driven co-evolution of antimicrobial resistance and virulence in Escherichia coli on dairy farms: unraveling adaptive genetic signatures with novel SSCP-PCR

This study addresses a critical One Health challenge by investigating the epidemiological and genetic drivers of antimicrobial resistance (AMR) in E. coli from 290 clinical bovine samples. On Egyptian dairy farms, our findings revealed that while calf diarrhea peaked during the winter, a higher rate of multidrug resistance was consistently observed in isolates from the summer, directly linking seasonal pressures to AMR dissemination. Strikingly, a mastitis isolate was confirmed as the highly virulent E. coli O157:H7 serotype, harboring the Shiga toxin genes stx1 and stx2, underscoring a direct and significant public health risk. To dissect the molecular basis of these trends, we pioneered the use of a novel Single-Strand Conformation Polymorphism Polymerase Chain Reaction (SSCP-PCR) assay on 33 selected isolates. This high-throughput approach revealed prevalent mutations in resistance genes (blaTEM and gyrB) and the virulence gene (fimH). Crucially, sequencing confirmed that mutations in the highly conserved 16S rRNA gene significantly co-occurred with mutations in blaTEM, fimH, and lacI, providing compelling evidence for co-selected adaptive pathways and clonal expansion. Our research demonstrates that climate-driven environmental pressures fuel the co-evolution of AMR and virulence on farms, championing SSCP-PCR as a robust tool for tracking microbial evolution and advocating for integrated, molecularly-informed One Health strategies.

Authors

Institutions

Publication Details

Journal
World Journal of Microbiology and Biotechnology
Published
2025-10-28
DOI
https://doi.org/10.1007/s11274-025-04616-z
Citations
1
Primary Topic
Escherichia coli research studies
Type
article
Field-Weighted Citation Impact
1.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Climate-driven co-evolution of antimicrobial resistance and virulence in Escherichia coli on dairy farms: unraveling adaptive genetic signatures with novel SSCP-PCR

Fawzia A. El-Shenawy, Azza S. El-Demerdash, Doaa M. Sharaf, Malak Kotb
1 citations
World Journal of Microbiology and Biotechnology
Escherichia coli research studies
1.80
article

Climate-driven co-evolution of antimicrobial resistance and virulence in Escherichia coli on dairy farms: unraveling adaptive genetic signatures with novel SSCP-PCR

Fawzia A. El-Shenawy, Azza S. El-Demerdash, Doaa M. Sharaf, Malak Kotb
article en
1 citations

Abstract

This study addresses a critical One Health challenge by investigating the epidemiological and genetic drivers of antimicrobial resistance (AMR) in E. coli from 290 clinical bovine samples. On Egyptian dairy farms, our findings revealed that while calf diarrhea peaked during the winter, a higher rate of multidrug resistance was consistently observed in isolates from the summer, directly linking seasonal pressures to AMR dissemination. Strikingly, a mastitis isolate was confirmed as the highly virulent E. coli O157:H7 serotype, harboring the Shiga toxin genes stx1 and stx2, underscoring a direct and significant public health risk. To dissect the molecular basis of these trends, we pioneered the use of a novel Single-Strand Conformation Polymorphism Polymerase Chain Reaction (SSCP-PCR) assay on 33 selected isolates. This high-throughput approach revealed prevalent mutations in resistance genes (blaTEM and gyrB) and the virulence gene (fimH). Crucially, sequencing confirmed that mutations in the highly conserved 16S rRNA gene significantly co-occurred with mutations in blaTEM, fimH, and lacI, providing compelling evidence for co-selected adaptive pathways and clonal expansion. Our research demonstrates that climate-driven environmental pressures fuel the co-evolution of AMR and virulence on farms, championing SSCP-PCR as a robust tool for tracking microbial evolution and advocating for integrated, molecularly-informed One Health strategies.

World Journal of Microbiology and BiotechnologyVol. 41(11)
Animal Health Research Institute (TW)
Openalex Percentile: Top 13%
Escherichia coli research studies
1.80
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.