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用于差异检测症状相关病原体的集成最小集引物和独特探针设计算法。

Integrated minimum-set primers and unique probe design algorithms for differential detection on symptom-related pathogens.

作者信息

Huang Yu-Cheng, Chang Chun-Fan, Chan Chen-Hsiung, Yeh Tze-Jung, Chang Ya-Chun, Chen Chaur-Chin, Kao Cheng-Yan

机构信息

Bioinformatics Laboratory, Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.

出版信息

Bioinformatics. 2005 Dec 15;21(24):4330-7. doi: 10.1093/bioinformatics/bti730. Epub 2005 Oct 25.

Abstract

MOTIVATION

Differential detection on symptom-related pathogens (SRP) is critical for fast identification and accurate control against epidemic diseases. Conventional polymerase chain reaction (PCR) requires a large number of unique primers to amplify selected SRP target sequences. With multiple-use primers (mu-primers), multiple targets can be amplified and detected in one PCR experiment under standard reaction condition and reduced detection complexity. However, the time complexity of designing mu-primers with the best heuristic method available is too vast. We have formulated minimum-set mu-primer design problem as a set covering problem (SCP), and used modified compact genetic algorithm (MCGA) to solve this problem optimally and efficiently. We have also proposed new strategies of primer/probe design algorithm (PDA) on combining both minimum-set (MS) mu-primers and unique (UniQ) probes. Designed primer/probe set by PDA-MS/UniQ can amplify multiple genes simultaneously upon physical presence with minimum-set mu-primer amplification (MMA) before intended differential detection with probes-array hybridization (PAH) on the selected target set of SRP.

RESULTS

The proposed PDA-MS/UniQ method pursues a much smaller number of primers set compared with conventional PCR. In the simulation experiment for amplifying 12 669 target sequences, the performance of our method with 68% reduction on required mu-primers number seems to be superior to the compared heuristic approaches in both computation efficiency and reduction percentage. Our integrated PDA-MS/UniQ method is applied to the differential detection on 9 plant viruses from 4 genera with MMA and PAH of 11 mu-primers instead of 18 unique ones in conventional PCR while amplifying overall 9 target sequences. The results of wet lab experiments with integrated MMA-PAH system have successfully validated the specificity and sensitivity of the primers/probes designed with our integrated PDA-MS/UniQ method.

摘要

动机

对症状相关病原体(SRP)进行差异检测对于快速识别和准确控制流行病至关重要。传统的聚合酶链反应(PCR)需要大量独特的引物来扩增选定的SRP靶序列。使用多用途引物(mu-引物),可以在标准反应条件下在一次PCR实验中扩增和检测多个靶标,从而降低检测复杂性。然而,用现有的最佳启发式方法设计mu-引物的时间复杂度太高。我们将最小集mu-引物设计问题表述为一个集合覆盖问题(SCP),并使用改进的紧凑型遗传算法(MCGA)来最优且高效地解决这个问题。我们还提出了引物/探针设计算法(PDA)的新策略,该策略结合了最小集(MS)mu-引物和独特(UniQ)探针。通过PDA-MS/UniQ设计的引物/探针集可以在对选定的SRP靶标集进行探针阵列杂交(PAH)进行预期差异检测之前,通过最小集mu-引物扩增(MMA)在物理存在时同时扩增多个基因。

结果

与传统PCR相比,所提出的PDA-MS/UniQ方法所需的引物集数量要少得多。在扩增12669个靶序列的模拟实验中,我们的方法所需mu-引物数量减少了68%,在计算效率和减少百分比方面似乎都优于比较的启发式方法。我们集成的PDA-MS/UniQ方法应用于对4个属的9种植物病毒的差异检测,使用11个mu-引物进行MMA和PAH,而不是传统PCR中的18个独特引物,同时扩增总共9个靶序列。集成的MMA-PAH系统的湿实验室实验结果成功验证了用我们集成的PDA-MS/UniQ方法设计的引物/探针的特异性和灵敏度。

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