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ORMA: a tool for identification of species-specific variations in 16S rRNA gene and oligonucleotides design

机译:ORMA:一种用于识别16S rRNA基因和寡核苷酸设计中物种特异性变异的工具

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摘要

16S rRNA gene is one of the preferred targets for resolving species phylogenesis issues in microbiological-related contexts. However, the identification of single-nucleotide variations capable of distinguishing a sequence among a set of homologous ones can be problematic. Here we present ORMA (Oligonucleotide Retrieving for Molecular Applications), a set of scripts for discriminating positions search and for performing the selection of high-quality oligonucleotide probes to be used in molecular applications. Two assays based on Ligase Detection Reaction (LDR) are presented. First, a new set of probe pairs on cyanobacteria 16S rRNA sequences of 18 different species was compared to that of a previous study. Then, a set of LDR probe pairs for the discrimination of 13 pathogens contaminating bovine milk was evaluated. The software determined more than 100 candidate probe pairs per dataset, from more than 300 16S rRNA sequences, in less than 5 min. Results demonstrated how ORMA improved the performance of the LDR assay on cyanobacteria, correctly identifying 12 out of 14 samples, and allowed the perfect discrimination among the 13 milk pathogenic-related species. ORMA represents a significant improvement from other contexts where enzyme-based techniques have been employed on already known mutations of a single base or on entire subsequences.
机译:16S rRNA基因是解决微生物相关环境中物种发生问题的首选靶标之一。然而,鉴定能够区分一组同源序列中的序列的单核苷酸变异可能是有问题的。在这里,我们介绍ORMA(用于分子应用的寡核苷酸检索),这是一组脚本,用于区分位置搜索并选择要用于分子应用的高质量寡核苷酸探针。提出了两种基于连接酶检测反应(LDR)的检测方法。首先,将一组针对18种不同物种的蓝细菌16S rRNA序列的新探针对与以前的研究进行了比较。然后,评估了一组用于区分13种污染牛乳的病原体的LDR探针对。该软件在不到5分钟的时间内,从300多个16S rRNA序列中,每个数据集确定了100多个候选探针对。结果表明,ORMA如何改善蓝藻LDR分析的性能,正确鉴定14个样品中的12个,并能在13个与乳病原体相关的物种之间进行完美区分。 ORMA代表了相对于其他情况的重大改进,在其他情况下,基于酶的技术已应用于单个碱基或整个子序列的已知突变。

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