Bourdin Thibault, Benoit Marie-Ève, Bédard Emilie, Prévost Michèle, Quach Caroline, Déziel Eric, Constant Philippe
Centre Armand-Frappier Santé Biotechnologie, Institut National de la Recherche Scientifique, 531 Boulevard des Prairies, Laval, QC H7V 1B7, Canada.
CHU Sainte-Justine Research Center, Montréal, QC H3T 1C5, Canada.
Microorganisms. 2023 Dec 27;12(1):48. doi: 10.3390/microorganisms12010048.
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.
分子分型技术用于确定细菌分离株之间的遗传相似性。然而,利用环境DNA谱分析来评估患者与其环境之间的流行病学联系尚未得到充分探索。这项工作报告了针对机会性病原体和的两种高通量短序列分型(HiSST)方案的开发和验证,以及一种用于特异性分离的改良SM2I选择性培养基。这些HiSST方案基于每个物种的四个鉴别位点,具有较高的鉴别力,与成对全基因组比较相当。每个方案都包括物种特异性PCR引物,用于与密切相关的分类群进行精确区分,无需上游依赖培养的方法。例如,靶向位点的引物能够将与非常密切相关的新物种区分开来。方案中选定的位点适用于大规模平行扩增子测序技术。在DADA2流程中实现了一个基于R的脚本,以促进HiSST分析,从而对和进行高效准确的基因分型。我们通过计算机模拟验证、针对参考培养物保藏库的评估以及一个涉及环境样本的案例研究来展示这两种方案的性能。