【作者】 温明；

【导师】 熊传喜； 常剑波；

【作者基本信息】 华中农业大学 ， 水产养殖， 2004， 硕士

【摘要】 作者在VB6.0语言平台+Win2000环境下开发了多倍体生物的DNA电泳图谱识别程序。本文介绍了该程序识别分析多倍体微卫星电泳图谱的原理和工作实例。在单泳道识别模式下，利用已置入判别方程的程序对未知泳道进行识别，可以在对该泳道中所有泳带进行识别的同时，判断出该泳道中各泳带的倍性。在多泳道识别模式下，程序结合自动识别和手工校正，可以分析不同泳道的电泳结果，保存泳带的位置、灰度、分子量等资料，并直接生成用于遗传距离分析的(0，1)矩阵。 在使用本程序对历年的中华鲟微卫星DNA电泳图谱进行识别后，得到了485组有效数据，将其中的365组数据作为训练集，120组数据作为测试集。训练集中1倍性泳带188组，2倍性泳带120组，3倍性泳带32组，4倍性泳带25组。在使用判别分析对所有的数据进行分组判别以后得到了四组判别方程，在使用该判别方程对所有已知样本进行回判后，得到对1倍性泳带判别的正确率为85.1％，对2倍性泳带判别的正确率为90％，对3倍性泳带判别的正确率为28.1％，对4倍性泳带判别的正确率为100％。就总体而言，数据回判的准确性达到了82.7％。 将作为测试集的120个泳带样本使用所获得的判别方程进行测试以检测方程对未进入模型泳带的判别效果。对1倍性的泳带的判别准确率为82.3％；对2倍性的泳带的判别准确率为82.5％，对3倍性的泳带的判别准确率为27.3％，对4倍性的泳带的判别准确率为100％，总体判别的正确率为78.3％。表明本程序对未知泳带具有较好的判别能力。在对其它按四倍体遗传的位点进行大量的统计分析并作出判别方程以后，程序也可以用于该类位点的微卫星DNA电泳图谱分析。更多还原

【Abstract】 This paper introduced a new method for analyzing microsatellite DNA electrophoresis maps of polyploidy species using a computer-based program .Two identification models are used in this program, one is for single-lane and another for multi-lanes. With the single-lane model, integrated with the classification function, the program can analyze the target lanes, as well as the polyploid of each band based on the grayscale. With the multi-lane model, the program can analyze different lanes, and save the data of band position , band grayscale and molecular weight of each band, and ultimately build the (0,1) matrix which can be used for genetic distance analyses. The program can also be used to identify diploid DNA electrophoresis map.A case study of analyzing electrophoresis maps of Acipenser sinensis were implemented by the program. We used 365 groups of valid data as validation test, including 188 groups of haplploid band, 120 groups of diploid band, 32 groups of triploid band, and 25 groups of tetraploid band. Four groups of classification functions were computerd under the discrimination analysis. The correctly identified percentage of haplploid , diploid , triploid and tetraploid band discriminated by the classification functions was 85.1%, 90%, 28.1%, and 100% respectively.Of all bands combined the program identified 82.7% of the validation test set.The effectiveness of classification functions was examined by 120 bands as a test set. The correct percentage of haplploid , diploid , triploid and tetraploid band discriminated by the classification functions was 82.3%, 82.5%, 27.3%, and 100% respectively. Totally, the correct percentage discrimination by the function was 78.3%. Our findings demonstrated that the program is powerful to classify target lanes. With classification functions determined for other species which was inherited in tetrapolyploid mode., it can also be used to analyze their microsatellite DNA electrophoresis maps更多还原