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利用16S rRNA开发一种简单准确的分子方案用于特定物种的鉴定

Development of a Simple and Accurate Molecular Protocol Using 16SrRNA for Species-Specific Identification of spp.

作者信息

Saitta Giulia Maria, Veschetti Laura, Feletti Rebecca, Sandri Angela, Boaretti Marzia, Melotti Paola, Carelli Maria, Lleò Maria M, Malerba Giovanni, Signoretto Caterina

机构信息

Diagnostic and Public Health Department, University of Verona, 37134 Verona, Italy.

Infections and Cystic Fibrosis Unit, Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, 20132 Milano, Italy.

出版信息

Pathogens. 2025 Mar 12;14(3):271. doi: 10.3390/pathogens14030271.

DOI:10.3390/pathogens14030271
PMID:40137756
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11945698/
Abstract

The genus comprises 22 species and various genogroups. Some species with higher virulence or antibiotic resistance are more likely to cause chronic infections in people with cystic fibrosis (CF). Current identification methods often fail to accurately distinguish between the species or result in misidentifications due to biochemical similarities. This study aims to develop an accurate qPCR protocol for species-level identification that is applicable in clinical diagnostic laboratories. Whole-genome sequencing of clinical isolates from different species identified species-specific single-nucleotide polymorphisms (SNPs) in two 16S gene regions. Based on these SNPs, two sets of primers and qPCR probes were designed to generate unique identification profiles. Thermal profiles were optimized, and qPCR was performed on serial bacterial DNA dilutions to determine the detection limit (LOD). Four probes successfully identified three species: , , and . Two additional probes were designed for novel genotypes unrelated to publicly available sequences. The LOD ranged from 0.005 pg/µL to 1 pg/µL. Combined probes achieved 100% sensitivity, with specificity ranging from 97.95% to 100%. This qPCR protocol enables accurate species identification, overcoming the limitations of current methods, and represents a reliable tool for clinical diagnostics.

摘要

该属包括22个物种和各种基因群。一些具有较高毒力或抗生素耐药性的物种更有可能在囊性纤维化(CF)患者中引起慢性感染。目前的鉴定方法往往无法准确区分这些物种,或者由于生化相似性而导致错误鉴定。本研究旨在开发一种适用于临床诊断实验室的、用于物种水平鉴定的准确qPCR方案。对来自不同物种的临床分离株进行全基因组测序,在两个16S基因区域鉴定出物种特异性单核苷酸多态性(SNP)。基于这些SNP,设计了两组引物和qPCR探针,以生成独特的鉴定图谱。优化了热循环条件,并对系列细菌DNA稀释液进行qPCR以确定检测限(LOD)。四个探针成功鉴定出三个物种: 、 和 。另外设计了两个探针用于与公开可用序列无关的新基因型。LOD范围为0.005 pg/µL至1 pg/µL。组合探针的灵敏度达到100%,特异性范围为97.95%至100%。这种qPCR方案能够实现准确的物种鉴定,克服了当前方法的局限性,是临床诊断的可靠工具。

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本文引用的文献

1
Susceptibility of Species Isolated from Cystic Fibrosis Patients: a 6-Year Survey.从囊性纤维化患者中分离出的 种属的易感性:一项 6 年调查。
Antimicrob Agents Chemother. 2023 Jul 18;67(7):e0037923. doi: 10.1128/aac.00379-23. Epub 2023 Jun 13.
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Identification of bacterial and fungal pathogens directly from clinical blood cultures using whole genome sequencing.使用全基因组测序直接从临床血培养物中鉴定细菌和真菌病原体。
Genomics. 2023 Mar;115(2):110580. doi: 10.1016/j.ygeno.2023.110580. Epub 2023 Feb 14.
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Opportunistic Pathogens in Cystic Fibrosis: Epidemiology and Pathogenesis of Lung Infection.囊性纤维化中的机会性病原体:肺部感染的流行病学和发病机制。
J Pediatric Infect Dis Soc. 2022 Sep 7;11(Supplement_2):S3-S12. doi: 10.1093/jpids/piac052.
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spp. Adaptation in Cystic Fibrosis Infection and Candidate Biomarkers of Antimicrobial Resistance.种。囊性纤维化感染中的适应性和候选的抗菌药物耐药性生物标志物。
Int J Mol Sci. 2022 Aug 17;23(16):9265. doi: 10.3390/ijms23169265.
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Achromobacter spp. prevalence and adaptation in cystic fibrosis lung infection.无色杆菌属在囊性纤维化肺部感染中的流行情况及适应性
Microbiol Res. 2022 Oct;263:127140. doi: 10.1016/j.micres.2022.127140. Epub 2022 Jul 22.
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Molecular mechanisms of cystic fibrosis - how mutations lead to misfunction and guide therapy.囊性纤维化的分子机制——突变如何导致功能障碍及指导治疗。
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An 18-Year Dataset on the Clinical Incidence and MICs to Antibiotics of spp. (Labeled Biochemically or by MAL-DI-TOF MS as ), Largely in Patient Groups Other than Those with CF.一份关于某菌属对各类抗生素的临床发病率及最低抑菌浓度的18年数据集(通过生化标记或基质辅助激光解吸电离飞行时间质谱法标记为某菌属),主要来自非囊性纤维化患者群体。
Antibiotics (Basel). 2022 Feb 25;11(3):311. doi: 10.3390/antibiotics11030311.
8
What is the role of Achromobacter species in patients with cystic fibrosis?阿氏菌属在囊性纤维化患者中的作用是什么?
Front Biosci (Landmark Ed). 2021 Dec 30;26(12):1613-1620. doi: 10.52586/5054.
9
Genomic characterization of species isolates from chronic and occasional lung infection in cystic fibrosis patients.从囊性纤维化患者慢性和偶发性肺部感染的 种分离株中进行基因组特征分析。
Microb Genom. 2021 Jul;7(7). doi: 10.1099/mgen.0.000606.
10
Validation strategy of a bioinformatics whole genome sequencing workflow for Shiga toxin-producing using a reference collection extensively characterized with conventional methods.基于经传统方法广泛特征分析的参考集,建立用于产志贺毒素的生物信息学全基因组测序工作流程的验证策略。
Microb Genom. 2021 Mar;7(3). doi: 10.1099/mgen.0.000531. Epub 2021 Mar 3.