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青海云杉ISSR-PCR反应体系的建立与优化
引用本文:王文峰,李毅,马彦军,李栋栋. 青海云杉ISSR-PCR反应体系的建立与优化[J]. 安徽农业科学, 2009, 37(21): 9869-9871
作者姓名:王文峰  李毅  马彦军  李栋栋
作者单位:甘肃农业大学林学院,甘肃兰州,730070;甘肃农业大学林学院,甘肃兰州,730070;甘肃农业大学林学院,甘肃兰州,730070;甘肃农业大学林学院,甘肃兰州,730070
基金项目:王文峰(1982-),男,甘肃兰州人,在读硕士,从事林木遗传育种研究.
摘    要:[目的]确定适应青海云杉ISSR-PCR反应的最佳反应体系。[方法]以青海云杉(Picea crassifolia kom.)为材料,对影响其ISSR—PCR扩增结果的各因素(Mg^2+、dNTPs、TaqDNA聚合酶、模板DNA、引物、退火温度)进行筛选和优化。[结果]青海云杉ISSR—PCR最佳反应体系为在20山反应体系中包含1μl 10×buffer,1.5mmol/L的Mg^2+ 0.2mmol/L的dNTPs,TaqDNA聚合酶1.0U,模板DNA 40ng,引物0.6μmol/L。对青海云杉ISSR-PCR最佳反应体系的退火温度进行梯度试验发现,引物UBC818的最适退火温度为54.2℃,且最适退火温度因引物而异。[结论]该优化ISSR.PCR反应体系的建立,为今后利用ISSR技术进行青海云杉种质资源分类、遗传图谱构建和基因定位奠定了技术基础。

关 键 词:青海云杉  ISSR  体系建立  优化

Establishment and Optimization of ISSR-PCR Reaction System for Picea crassifolia kom.
WANG Wen-feng et al. Establishment and Optimization of ISSR-PCR Reaction System for Picea crassifolia kom.[J]. Journal of Anhui Agricultural Sciences, 2009, 37(21): 9869-9871
Authors:WANG Wen-feng et al
Affiliation:WANG Wen-feng et al(College of Forestry Science,Gansu Agricultural University,Lanzhou,Gansu 730070)
Abstract:[Objective]The experiment aimed to determine the optimum ISSR-PCR reaction system of Picea crassifolia kom.. [Method]Picea crassifolia kom. was used as material to select and optimize influencing factors of ISSR-PCR such as Mg2+, dNTPs, TaqDNA polymerase, template DNA, primers, annealing temperature. [Result]The optimum ISSR-PCR reaction system in 20 μl reaction system was consisted of 1 μl 10×buffer, 1.5 mmol/L Mg2+, 0.2 mmol/L dNTPs, 1.0 U TaqDNA polymerase, 40 ng template DNA, 0.6 μmol/L primers. According to gradient test of annealing temperature in optimum ISSR-PCR reaction system of Picea crassifolia kom., it was found that the optimum annealing temperature of UBC818 was 54.2 ℃ and the annealing temperature was different for different primers.[Conclusion]The construction of ISSR-PCR reaction system provided technical basis for classification of germplasm resources, construction of genetic map, gene mapping of Picea crassifolia kom. through using ISSR technology.
Keywords:ISSR  Picea crassifolia kom.  ISSR  System establishment  Optimization
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