基于ma的天然SNP-RFLP引物设计中不同种群大小影响的估计

Yu-Huei Cheng, Li-Yeh Chuang, Cheng-Hong Yang
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引用次数: 1

摘要

单核苷酸多态性(snp)是最常见的遗传变异,可以通过聚合酶链反应-限制性片段长度多态性(PCR-RFLP)有效地进行基因分型。虽然PCR-RFLP已经成为一种流行的技术,但寻找可用的限制性内切酶和设计可行的引物进行SNP基因分型仍然是一项具有挑战性的任务。在进行基于SNP的PCR-RFLP实验之前,必须至少提供一个可用的限制性内切酶来区分目标SNP,同时必须给出一个可行的引物对,观察到许多约束条件。在这里,我们称之为“天然SNP-RFLP引物设计”。过去,在设计天然SNP-RFLP引物时,通常采用模因算法(memetic algorithm, MA),但未考虑使用群体大小的影响。在这里,我们使用不同的种群大小来估计基于ma的天然SNP-RFLP引物设计的结果。从测试结果来看,我们建议使用200 ~ 300个群体大小来提供天然SNP-RFLP引物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of the Influence for Different Population Sizes in MA-Based Natural SNP-RFLP Primer Design
Single nucleotide polymorphisms (SNPs) are the most common genetic variations that can be genotyped effectively by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Although PCR-RFLP has become the popular technique, search for available restriction enzymes and design of feasible primers for SNP genotyping is still a challenging task. An available restriction enzyme at least must be provided to discriminate a target SNP, and simultaneously a feasible primer pair observes numerous constraints must be given before performing SNP-based PCR-RFLP experiments. Here, we called it "natural SNP-RFLP primer design". In the past, a memetic algorithm (MA) was introduced to design natural SNP-RFLP primers, however, the influence of the used population size was not considered. Here, we use different population size to estimate the result of MA-based natural SNP-RFLP primer design. From the test result, we suggested the population size used between 200 and 300 is preferred to provide the natural SNP-RFLP primers.
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