Severgnini Marco, Cremonesi Paola, Consolandi Clarissa, Caredda Giada, De Bellis Gianluca, Castiglioni Bianca
Institute of Biomedical Technologies, Italian National Research Council, Segrate, Italy.
Nucleic Acids Res. 2009 Sep;37(16):e109. doi: 10.1093/nar/gkp499. Epub 2009 Jun 16.
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.
16S rRNA基因是解决微生物相关背景下物种系统发育问题的首选目标之一。然而,识别能够区分一组同源序列中某一序列的单核苷酸变异可能存在问题。在此,我们展示了ORMA(用于分子应用的寡核苷酸检索),这是一组用于区分位置搜索和选择用于分子应用的高质量寡核苷酸探针的脚本。我们展示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个不同物种的蓝藻16S rRNA序列的新探针与先前研究中的探针进行了比较。然后,评估了一组用于区分污染牛奶的13种病原体的LDR探针。该软件在不到5分钟的时间内,从300多个16S rRNA序列中为每个数据集确定了100多个候选探针。结果表明,ORMA提高了LDR检测在蓝藻上的性能,正确识别了14个样本中的12个,并实现了13种与牛奶致病相关物种之间的完美区分。与其他在已知单碱基突变或整个子序列上采用基于酶技术的情况相比,ORMA有显著改进。