Data Mining for Molecular Detection Markers of Listeria monocytogenes

doi:10.7506/spkx1002-6630-200904041

FOOD SCIENCE ›› 2009, Vol. 30 ›› Issue (4): 197-200.doi: 10.7506/spkx1002-6630-200904041

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Data Mining for Molecular Detection Markers of Listeria monocytogenes

HAN Bin，LIU Zhan-min，GAO Hai-yan，YIN Jing-yuan*

Department of Life Sciences, Shanghai University, Shanghai 200444, China

Received:2008-02-21 Revised:2008-06-03 Online:2009-02-15 Published:2010-12-29
Contact: YIN Jing-yuan E-mail:jyyin@staff.shu.edu.cn

Abstract

Abstract:

Listeria monocytogenes is one kind of food-borne pathogens which can cause both people and animal to suffering from diseases, and the rapid detection technology based on molecular biology is one of the most interesting researches in the field of food safety. This study adopted the method of bioinformatics to research microbial genome data, and obtained 4 specific sequence regions and 4 coding sequences of L. monocytogenes which are not ever used as the detection markers. These results would be important for establishing PCR detection of L. monocytogenes.

Key words: Listeria monocytogenes, molecular detection markers, sequence alignment

CLC Number:

TS207.7

HAN Bin，LIU Zhan-min，GAO Hai-yan，YIN Jing-yuan*. Data Mining for Molecular Detection Markers of Listeria monocytogenes[J]. FOOD SCIENCE, 2009, 30(4): 197-200.

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Data Mining for Molecular Detection Markers of Listeria monocytogenes

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