Specific plasmid profiles of Clostridium butyricum associated with grouped cases of necrotizing enterocolitis

Necrotizing enterocolitis (NEC) is an unpredictable condition that is commonly encountered in neonatal intensive care units. NEC considered one of the most severe gastrointestinal diseases affecting preterm infants and is often fatal. In this study, we performed a genomic analysis in which 32 Clostridium butyricum strains were compared; 25 strains were isolated from patients with asymptomatic stool carriage and seven were isolated from patients diagnosed with NEC. Phylogenetic analysis revealed two clusters. Cluster 1 was associated with asymptomatic carriers, whereas cluster 2 was associated mainly with NEC patients and was composed of three genetically distinct subclusters. Through genomic analyses, we identified six plasmids, each of which varied in size and gene number. The 21 strains belonging to cluster 1 harboured two specific plasmids, one small conserved plasmid and one large megaplasmid. The strains in subcluster 2.1 harboured two specific plasmids, and the strains in subclusters 2.2 and 2.3 harboured one of two specific plasmids. Interestingly, plasmid profiling revealed specific patterns and the largest C. butyricum plasmid reported to date. The observed differences in plasmids between the two clusters were associated with NEC status and may contribute to the virulence potential that leads to the occurrence of this disease.

Authors

Institutions

Publication Details

Journal
Emerging Microbes & Infections
Published
2026-09-21
DOI
https://doi.org/10.1080/22221751.2026.2724669
Primary Topic
Infant Nutrition and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Specific plasmid profiles of Clostridium butyricum associated with grouped cases of necrotizing enterocolitis

Barthélémy Tosello, Philippe Colson, Yousra Mikrat, Catherine Gire et al.
Emerging Microbes & Infections
Infant Nutrition and Health
article

Specific plasmid profiles of Clostridium butyricum associated with grouped cases of necrotizing enterocolitis

Barthélémy Tosello, Philippe Colson, Yousra Mikrat, Catherine Gire, Saı̈d Azza, Anthony Adjamian, Nadim Cassir, Zineb Elidrissi, Bernard LA Scola, Véronique Roux, Pierre Bousquel, Jérémy Delerce, Sophie Schipani
article en

Abstract

Necrotizing enterocolitis (NEC) is an unpredictable condition that is commonly encountered in neonatal intensive care units. NEC considered one of the most severe gastrointestinal diseases affecting preterm infants and is often fatal. In this study, we performed a genomic analysis in which 32 Clostridium butyricum strains were compared; 25 strains were isolated from patients with asymptomatic stool carriage and seven were isolated from patients diagnosed with NEC. Phylogenetic analysis revealed two clusters. Cluster 1 was associated with asymptomatic carriers, whereas cluster 2 was associated mainly with NEC patients and was composed of three genetically distinct subclusters. Through genomic analyses, we identified six plasmids, each of which varied in size and gene number. The 21 strains belonging to cluster 1 harboured two specific plasmids, one small conserved plasmid and one large megaplasmid. The strains in subcluster 2.1 harboured two specific plasmids, and the strains in subclusters 2.2 and 2.3 harboured one of two specific plasmids. Interestingly, plasmid profiling revealed specific patterns and the largest C. butyricum plasmid reported to date. The observed differences in plasmids between the two clusters were associated with NEC status and may contribute to the virulence potential that leads to the occurrence of this disease.

Emerging Microbes & InfectionsVol. 15(1)
Méditerranée Infection Foundation (FR), Assistance Publique Hôpitaux de Marseille (FR), Hôpital Nord (FR), Hôpitaux Universitaires Paris-Ouest (FR), Hôpitaux Universitaires de Strasbourg (FR), Institut de Recherche Pour le Développement (BF)
Good health and well-being
Openalex Percentile: Top 55%
Infant Nutrition and Health
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.