Streptococcus suis infection on European farms is associated with an altered tonsil microbiome and resistome

<i>Streptococcus suis</i> is a Gram-positive opportunistic pathogen causing systemic disease in piglets around weaning age. The factors predisposing to disease are not known. We hypothesized that the tonsillar microbiota might influence disease risk via colonization resistance and/or co-infections. We conducted a cross-sectional case-control study within outbreak farms complemented by selective longitudinal sampling and comparison with control farms without disease occurrence. We found a small but significant difference in tonsil microbiota composition between case and control piglets (<i>n</i>=45+45). Variants of putative commensal taxa, including <i>Rothia nasimurium</i>, were reduced in abundance in case piglets compared to asymptomatic controls. Case piglets had higher relative abundances of <i>Fusobacterium gastrosuis</i>, <i>Bacteroides heparinolyticus</i> and uncultured <i>Prevotella</i> and <i>Alloprevotella</i> species. Piglets developing disease post-weaning had reduced alpha diversity pre-weaning. Despite case-control pairs receiving equal antimicrobial treatment, case piglets had a higher abundance of antimicrobial resistance genes conferring resistance to antimicrobial classes used to treat <i>S. suis</i>. This might be an adaption of disease-associated strains to frequent antimicrobial treatment.

Authors

Institutions

Publication Details

Journal
Microbial Genomics
Published
2024-12-19
DOI
https://doi.org/10.1099/mgen.0.001334
Citations
5
Primary Topic
Streptococcal Infections and Treatments
Type
article
Field-Weighted Citation Impact
2.71

Funders

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

Streptococcus suis infection on European farms is associated with an altered tonsil microbiome and resistome

Maria Laura Ferrando, Xiaonan Guan, Carlos Neila‐Ibáñez, Virginia Aragón et al.
5 citations
Microbial Genomics
Streptococcal Infections and Treatments
2.71
article

Streptococcus suis infection on European farms is associated with an altered tonsil microbiome and resistome

Maria Laura Ferrando, Xiaonan Guan, Carlos Neila‐Ibáñez, Virginia Aragón, Peter van Baarlen, Jerry Mark Wells, Jenelle Dunkelberger, Florencia Correa‐Fiz, Isabela Fernandes de Oliveira, Isabel Hennig‐Pauka, Jos Boekhorst, Simen Fredriksen
article en
5 citations

Abstract

<i>Streptococcus suis</i> is a Gram-positive opportunistic pathogen causing systemic disease in piglets around weaning age. The factors predisposing to disease are not known. We hypothesized that the tonsillar microbiota might influence disease risk via colonization resistance and/or co-infections. We conducted a cross-sectional case-control study within outbreak farms complemented by selective longitudinal sampling and comparison with control farms without disease occurrence. We found a small but significant difference in tonsil microbiota composition between case and control piglets (<i>n</i>=45+45). Variants of putative commensal taxa, including <i>Rothia nasimurium</i>, were reduced in abundance in case piglets compared to asymptomatic controls. Case piglets had higher relative abundances of <i>Fusobacterium gastrosuis</i>, <i>Bacteroides heparinolyticus</i> and uncultured <i>Prevotella</i> and <i>Alloprevotella</i> species. Piglets developing disease post-weaning had reduced alpha diversity pre-weaning. Despite case-control pairs receiving equal antimicrobial treatment, case piglets had a higher abundance of antimicrobial resistance genes conferring resistance to antimicrobial classes used to treat <i>S. suis</i>. This might be an adaption of disease-associated strains to frequent antimicrobial treatment.

Microbial GenomicsVol. 10(12)
University of Veterinary Medicine Hannover, Foundation (DE), Centre de Recerca en Sanitat Animal (ES), Schothorst Feed Research (NL), Wageningen University & Research (NL)
Horizon 2020 Framework Programme
Openalex Percentile: Top 9%
Streptococcal Infections and Treatments
2.71
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.