摘要
基于近红外光谱结合化学模式识别中的偏最小二乘法研究了一种快速、简单和低成本检测STR基因型的方法.选择STR基因座D5S818中的总串数相差较大的10-10、11-11与13-13基因型作为研究对象,将这三个基因型样本进行标准的PCR扩增并采集PCR产物的近红外光谱,以每一基因型的任意三分之二样本作为校正集,剩余三分之一作为预测集样本,探索了基于近红外光谱进行基因分型的可能性,结果发现该三类模型能够得到正确的判别,没有误判,预测集预测率达到100%.成功实现了基于近红外光谱对STR基因型的快速、简单和低成本检测.
This paper has established a method which could be used to detect short tandem repeat （STR） rapidly, simply and low-costly based on near infrared （NIR） spectroscopy combined with discriminant partial least squares （DPLS） regression. Genotypes 10-10, 11-11 and 13-13 of STR locus D5S818 were selected as the objective subjects. Through optimal polymerase chain reaction and NIR spectrum measurement, NIR spectra of samples for each genotype were obtained. The two thirds of each genotype＇s NIR spectra were used to establish DPLS genotyping models. It was shown that models had good robustness and strong discriminating power for the prediction samples （the accuracy was up to 100%）. Based on NIR spectra, this paper achieves the detection of STR genotypes in a rapid, simple and low-cost way.
出处
《常熟理工学院学报》
2011年第8期51-55,共5页
Journal of Changshu Institute of Technology
关键词
短串联重复序列
近红外光谱
伪偏最小二乘法
基因分型
short tandem repeat
near infrared spectroscopy
discriminant partial least squares regression
genotyping
