Dataset Information

Evaluation of a Combined Multilocus Sequence Typing and Whole-Genome Sequencing Two-Step Algorithm for Routine Typing of Clostridioides difficile.

ABSTRACT: Multilocus sequence typing (MLST) is a low-resolution but rapid genotyping method for Clostridioides difficile Whole-genome sequencing (WGS) has emerged as the new gold standard for C. difficile typing, but cost and lack of standardization still limit broad utilization. In this study, we evaluated the potential to combine the portability of MLST with the increased resolution of WGS for a cost-saving approach to routine C. difficile typing. C. difficile strains from two New York City hospitals (hospital A and hospital B) were selected. WGS single-nucleotide polymorphism (wgSNP) was performed using established methods. Sequence types (ST) were determined using PubMLST, while wgSNP analysis was performed using the Bionumerics software. An additional analysis of a subset of data (hospital A) was made comparing the Bionumerics software to the CosmosID pipeline. Cost and turnaround time to results were compared for the algorithmic approach of MLST followed by wgSNP versus direct wgSNP. Among the 202 C. difficile isolates typed, 91% (n = 185/203) clustered within the representative ST, showing a high agreement between MLST and wgSNP. While clustering was similar between the Bionumerics and CosmosID pipelines, large differences in the overall number of SNPs were noted. A two-step algorithm for routine typing results in significantly lower cost than routine use of WGS. Our results suggest that using MLST as a first step in routine typing of C. difficile followed by WGS for MLST concordant strains is a less technically demanding, cost-saving approach for performing C. difficile typing than WGS alone without loss of discriminatory power.

SUBMITTER: Kamboj M

PROVIDER: S-EPMC8111118 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Publications

Evaluation of a Combined Multilocus Sequence Typing and Whole-Genome Sequencing Two-Step Algorithm for Routine Typing of Clostridioides difficile.

Kamboj Mini M McMillen Tracy T Syed Mustafa M Chow Hoi Yan HY Jani Krupa K Aslam Anoshe A Brite Jennifer J Fanelli Brian B Hasan Nur A NA Dadlani Manoj M Westblade Lars L Zehir Ahmet A Simon Matthew M Babady N Esther NE

Journal of clinical microbiology 20210121 2

Multilocus sequence typing (MLST) is a low-resolution but rapid genotyping method for Clostridioides difficile Whole-genome sequencing (WGS) has emerged as the new gold standard for C. difficile typing, but cost and lack of standardization still limit broad utilization. In this study, we evaluated the potential to combine the portability of MLST with the increased resolution of WGS for a cost-saving approach to routine C. difficile typing. C. difficile strains from tw ...[more]

PMID: 33177119

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Project description:Abstract Background Clostridioides difficile is a leading cause of healthcare-associated infection (HAI), most often following antibiotic therapy. The source of these infections may be endogenous or nosocomial; effective intervention requires distinquishing between these, which in turn requires strain typing. Numerous methods have been developed for C. difficile typing, ranging from length-based ribotyping and MLVA to whole genome sequencing. However, none are routinely used in clinical settings due to low resolution, high cost, technical complexity, or requirement for cultured isolates. The application of polymorphic locus sequence typing (PLST) to epidemiological analysis of HAI and foodborne infections has recently been described; here this approach is extended to C. difficile. Methods Tandem repeats were bioinformatically identified in the genome sequence of ribotype 027 strain R20291. These were screened by BLASTN of GenBank databases for the most polymorphic locus, which identified CdMT1 (Mbp 3.149). DNA was purified from colonies or environmental (Banana Broth) cultures; bead-beating and PCR inhibitor removal steps were required for consistent results. Results CdMT1 encompassed MLVA repeat C6cd which, based on length alone, yielded the highest diversity index (DI) of 0.96. In contrast, CdMT1 sequence analysis yielded DI of >0.99. Comparison to ribotype further illustrated high level resolution; e.g., 9 ribotype 027 strains were resolved into 8 CdMT1 alleles. For initial laboratory evalulation, veterinary C. difficile isolates (44 canine, 4 bovine) were CdMT1 typed. Bioinformatic analysis of the 48 sequences resolved 24 CdMT1 alleles, including 8 clusters of 2 to 6 canine strains. Six of these clusters represented isolates from individual puppies in the same litter, or from different litters but the same household, while the bovine isolates formed a phylogenetically distinct group. Using the same DNA purification protocol, CdMT1 typing demonstrated compatibility with C. difficile-spiked stool samples and Banana Broth environmental cultures. Conclusion CdMT1 typing represents a potentially useful tool for outbreak detection and investigation in healthcare facilities, particularly in light of its compatibility with both stool and environmental samples. Disclosures Tom Edlind, PhD, MicrobiType LLC (Employee, Scientific Research Study Investigator)

Dataset Information

Evaluation of a Combined Multilocus Sequence Typing and Whole-Genome Sequencing Two-Step Algorithm for Routine Typing of Clostridioides difficile.

Publications

Evaluation of a Combined Multilocus Sequence Typing and Whole-Genome Sequencing Two-Step Algorithm for Routine Typing of <i>Clostridioides difficile</i>.

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