AI Article Synopsis

  • - The study explores high-throughput short sequence typing (HiSST) methods to evaluate genetic similarities in bacterial isolates, particularly focusing on opportunistic pathogens and their links to environmental DNA profiling.
  • - Two HiSST schemes were developed using four specific genetic loci for each pathogen, allowing for precise differentiation without the need for traditional culturing methods.
  • - The effectiveness of these HiSST schemes was validated through in silico tests, comparisons with reference cultures, and practical application on environmental samples, enhancing the potential for improved epidemiological studies.

Article Abstract

Molecular typing techniques are utilized to determine genetic similarities between bacterial isolates. However, the use of environmental DNA profiling to assess epidemiologic links between patients and their environment has not been fully explored. This work reports the development and validation of two high-throughput short sequence typing (HiSST) schemes targeting the opportunistic pathogens and , along with a modified SM2I selective medium for the specific isolation of . These HiSST schemes are based on four discriminative loci for each species and demonstrate high discriminating power, comparable to pairwise whole-genome comparisons. Each scheme includes species-specific PCR primers for precise differentiation from closely related taxa, without the need for upstream culture-dependent methods. For example, the primers targeting the locus make it possible to distinguish from the very closely related sp. nov. The selected loci included in the schemes are adapted to massive parallel amplicon sequencing technology. An R-based script implemented in the DADA2 pipeline was assembled to facilitate HiSST analyses for efficient and accurate genotyping of and . We demonstrate the performance of both schemes through in silico validations, assessments against reference culture collections, and a case study involving environmental samples.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10819370PMC
http://dx.doi.org/10.3390/microorganisms12010048DOI Listing

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