Development of a DNA microarray for detecting 8 common species of food-borne bacterial pathogens in south China.
- Author:
Hong-min WANG
1
;
Dong-mei HE
;
Hui ZHOU
;
Bi-xia KE
;
Xiao-ling DENG
;
Hai-ming ZHU
;
Jing-diao CHEN
;
Wei LI
;
Xing-fen YANG
;
Chang-wen KE
Author Information
- Publication Type:Journal Article
- MeSH: Bacteria; classification; isolation & purification; China; Food Contamination; analysis; Food Microbiology; Oligonucleotide Array Sequence Analysis; methods
- From: Journal of Southern Medical University 2010;30(11):2472-2476
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVETo prepare a DNA Microarray that can detect 8 common species of food borne bacterial pathogens in south China.
METHODSAll the 70mer oligo probes were designed on the characteristic genome loci of the 8 species of food borne bacterial pathogens. Eight subarrays corresponding to the 8 food borne bacterial pathogens were spotted onto the slide and integrated into a pan-array on the chip. A number of identified and known bacterial samples from the storage bank were selected for the validation test.
RESULTSBased on the PPR ranking, for LM sub-array, the PPR of the 3 Listeria bacteria LM, Lin and Liv was 68.8%, 51.8% and 59.6%, respectively, while that of the non-Listeria bacterial samples was all below 43%. For VC sub-array, the PPR of VC sample was 54.1% and that of the non-VC bacterial samples was lower than 17.2%. For VP sub-array, the PPR was 66.7% for VP sample and below 24.2% for non-VP bacterial samples. For Sal sub-array, the PPR was 55.9% for Sal sample and below 50.5% for non-Sal bacterial samples. For Shi sub-array, the PPR of Shi sample and the non-Shi bacterial samples was 53.8% and below 36.6%, respectively. For SA sub-array, the PPR of SA sample and non-SA bacterial samples was 65.2% and below 22.7%, respectively. For CJ sub-array, the PPR of the 2 Campylobacter bacteria CJ and CC were 88.2% and 58.8%, respectively, and that of the non-Campylobacter bacterial samples was lower than 35.3%. For EC sub-array, the PPR of EC sample was 47.9%, and that of the non-EC bacterial samples was lower than 41.6%. Evaluation of the Biosafood-8 chip developed in this study by 18 biological samples from different origins demonstrated its good specificity and accuracy in the identification of the pathogens.
CONCLUSIONThe chip we developed can clearly differentiate the target food borne pathogenic bacteria and non-target bacteria and allows specific and accurate identification of the species of the tested bacteria isolates.