Isolation and Characterization Through Whole-Genome Sequencing of STEC Strains from Free-Ranging Red Deer

Whole-genome sequence (WGS) analysis was used in this study to characterize Shiga toxin-producing <i>Escherichia coli</i> (STEC) isolates in free-ranging red deer from the central Italian Alps. Fecal samples from 92 hunted red deer collected between September and December 2022 were analyzed for the presence of STEC. Single <i>E. coli</i> colonies positive by PCR for <i>stx</i> genes were analyzed by WGS. STEC were isolated from eleven (12%) samples, showing eight <i>stx2b</i>, one <i>stx2a</i>, two <i>stx1c</i>, and one <i>stx1a</i> subtypes. Different serotypes and sequence types were identified (<i>n</i> = 8 each). Three isolates of O27:H30 serotype and ST753 showed no correlation in the cgMLST analysis (AD range 44-98). All strains harbored additional virulence factors. The only isolate harboring <i>stx2a</i> also possessed the <i>eae</i> gene and belonged to serotype O26:H11. Some isolates displayed shuffled virulence features of more than one <i>E. coli</i> pathotype. The high genetic diversity of strains circulating in the red deer population living in the central Italian Alps, including the STEC O26:H11 strain associated with STEC from severe disease in humans, confirms red deer as STEC reservoirs and highlights the need for monitoring the presence of these pathogens in wild ruminants.

Authors

Institutions

Publication Details

Journal
Veterinary Sciences
Published
2025-09-24
DOI
https://doi.org/10.3390/vetsci12100929
Primary Topic
Escherichia coli research studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Isolation and Characterization Through Whole-Genome Sequencing of STEC Strains from Free-Ranging Red Deer

Stefano Giacomelli, C. Luzzago, Stefano Morabito, Valeria Michelacci et al.
Veterinary Sciences
Escherichia coli research studies
article

Isolation and Characterization Through Whole-Genome Sequencing of STEC Strains from Free-Ranging Red Deer

Stefano Giacomelli, C. Luzzago, Stefano Morabito, Valeria Michelacci, Rosangela Tozzoli, Paola Chiani, Gaia Scavia, Arnold Knijn, Stefania Lauzi, Matteo Nava
article en

Abstract

Whole-genome sequence (WGS) analysis was used in this study to characterize Shiga toxin-producing <i>Escherichia coli</i> (STEC) isolates in free-ranging red deer from the central Italian Alps. Fecal samples from 92 hunted red deer collected between September and December 2022 were analyzed for the presence of STEC. Single <i>E. coli</i> colonies positive by PCR for <i>stx</i> genes were analyzed by WGS. STEC were isolated from eleven (12%) samples, showing eight <i>stx2b</i>, one <i>stx2a</i>, two <i>stx1c</i>, and one <i>stx1a</i> subtypes. Different serotypes and sequence types were identified (<i>n</i> = 8 each). Three isolates of O27:H30 serotype and ST753 showed no correlation in the cgMLST analysis (AD range 44-98). All strains harbored additional virulence factors. The only isolate harboring <i>stx2a</i> also possessed the <i>eae</i> gene and belonged to serotype O26:H11. Some isolates displayed shuffled virulence features of more than one <i>E. coli</i> pathotype. The high genetic diversity of strains circulating in the red deer population living in the central Italian Alps, including the STEC O26:H11 strain associated with STEC from severe disease in humans, confirms red deer as STEC reservoirs and highlights the need for monitoring the presence of these pathogens in wild ruminants.

Veterinary SciencesVol. 12(10)
University of Milan (IT), Istituto Superiore di Sanità (IT), Azienda Unità Sanitaria Locale Della Romagna (IT)
Istituto Superiore di Sanità
Openalex Percentile: Top 77%
Escherichia coli research studies
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.