Complete Genome Sequence of Clostridioides difficile Epidemic Strain DH/NAP11/106/ST-42, Isolated from Stool from a

Egon A Ozer1, Alan R Hauser1, Dale N Gerding2,3

  • 1Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Genome Announcements
|September 23, 2017
PubMed

Insights

We sequenced the genome of the common Clostridioides difficile strain DH/NAP11/106/ST-42. This strain frequently causes C. difficile infections, particularly in U.S. adults, and was isolated from a child with recurrent infections.

Area of Science:

  • Microbiology
  • Genomics
  • Infectious Diseases

Background:

  • Clostridioides difficile infection (CDI) is a significant healthcare-associated pathogen.
  • Emergence of specific hypervirulent strains like NAP1/BI/027 has been noted.
  • Understanding the genomic basis of prevalent strains is crucial for infection control.

Purpose of the Study:

  • To report the complete genome sequence of Clostridioides difficile strain DH/NAP11/106/ST-42.
  • To provide genomic data for a highly prevalent CDI-causing strain in the U.S.
  • To facilitate research into the genetic factors contributing to C. difficile infection virulence and recurrence.

Main Methods:

  • Whole-genome sequencing of Clostridioides difficile strain DH/NAP11/106/ST-42.
  • Bioinformatic analysis of the obtained genome sequence.
  • Isolation of the strain from stool samples of a pediatric patient.

Main Results:

  • The complete genome sequence of Clostridioides difficile strain DH/NAP11/106/ST-42 was successfully obtained.
  • This strain represents the most common cause of C. difficile infection among U.S. adults.
  • The isolate originated from a hospitalized pediatric patient experiencing frequent C. difficile infection relapses.

Conclusions:

  • The availability of this genome sequence provides a valuable resource for studying C. difficile.
  • Genomic insights may elucidate the factors driving the prevalence and recurrence of this specific C. difficile strain.
  • Further research can leverage this data to develop targeted prevention and treatment strategies for CDI.

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