|Table of Contents|

Application of Quick Gene810 Automated Nucleic Acid Extraction Instrument on Detection of Genetically Modified Soybean(PDF)

《大豆科学》[ISSN:1000-9841/CN:23-1227/S]

Issue:
2014年03期
Page:
434-437
Research Field:
Publishing date:

Info

Title:
Application of Quick Gene810 Automated Nucleic Acid Extraction Instrument on Detection of Genetically Modified Soybean
Author(s):
ZHOU Guang-biao; CAI Ying; CHEN Wen-wan; Wen Er-ying
Inspection and Quarantine Technology Center,Shantou EntryExit Inspection and Quarantine Bureau,Shantou 515031,China
Keywords:
Automated nucleic acid extraction instrument; Genetically modified soybean; Detection
PACS:
Q943.2
DOI:
10.11861/j.issn.1000-9841.2014.03.0434
Abstract:
To compare the DNA extraction effect between the two following methods,DNA was extracted from 0.1%-100% proportion gradient samples of genetically modified soybean GTS-40-3-2 and non GMO soybean,using QuickGene-810 automated nucleic acid extraction instrument method and manual DNA extraction kit method respectively.DNA concentration and purity were detected by the protein nucleic acid analyzer,and soybean endogenous Lectin gene and genetically modified soybean GTS-40-3-2 structurespecific gene were quantitatively amplificated.In addition,DNA was extracted from 100 soybean samples employing QuickGene810 automated nucleic acid extraction instrument method,so as to evaluate the stability of this method.Results indicated that,QuickGene-810 automated nucleic acid extraction instrument method took a short time,had a high success rate and good stability.The concentration and the A260/A280ratio of DNA extracted by QuickGene-810 automated nucleic acid extraction instrument method were significantly higher than the manual kit method(P＜0.001).For soybean endogenous Lectin gene,the Ct value of nucleic acid extraction instrument method was higher than that of manual kit method(P＜0.001).However,for genetically modified soybean GTS-40-3-2 structure specific gene,the Ct values of the two methods had no significant difference(P=0.540).

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Last Update: 2014-08-01