Microbiology Spectrum (Dec 2023)

Core-genome multilocus sequence typing and core-SNP analysis of Clostridium neonatale strains isolated in different spatio-temporal settings

  • Victoria Mesa,
  • Johanne Delannoy,
  • Laurent Ferraris,
  • Laure Diancourt,
  • Christelle Mazuet,
  • Frédéric Barbut,
  • Julio Aires

DOI
https://doi.org/10.1128/spectrum.02766-23
Journal volume & issue
Vol. 11, no. 6

Abstract

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ABSTRACT Clostridium neonatale was described as a new species within the Clostridium genus cluster I sensu stricto. It was recovered from the gut microbiota of infants and has been associated with necrotizing enterocolitis (NEC), a severe gastrointestinal disease affecting preterm neonates. In the absence of molecular typing methods, we developed a core (cg)-genome multilocus sequence typing (MLST) scheme based on 48 newly sequenced and 12 publicly available genomes of C. neonatale. Using the ChewBBACA algorithm, a stable MLST scheme consisting of 2,350 target genes (with genomes having ≥95% cgMLST targets) is proposed. The strains are distributed among five clades, and while some are clonality related within clades, the C. neonatale strain distribution is independent of geographic or temporal clustering. When considering strains isolated from patients with and without NEC, there were no observable differences in clustering. When compared to a core-single nucleotide polymorphism (SNP) analysis approach (31,248 positions), we showed that both cgMLST and cgSNP have comparable genetic discrimination of strains. In this study, we validated the use of cgMLST and cgSNP-based typing methods for the genetic comparison of clinical isolates of C. neonatale, which will allow for future surveillance and epidemiological clinical investigations of this potential opportunistic pathogen. IMPORTANCE Clostridium neonatale has been isolated from the fecal samples of asymptomatic neonates and cases of necrotizing enterocolitis (NEC). Taking advantage of a large collection of independent strains isolated from different spatio-temporal settings, we developed and established a cgMLST scheme for the molecular typing of C. neonatale. Both the cgMLST and cgSNP methods demonstrate comparable discrimination power. Results indicate geographic- and temporal- independent clustering of C. neonatale NEC-associated strains. No specific cgMLST clade of C. neonatale was genetically associated with NEC.

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