DATABASE DEVELOPMENT OF PRIMERS FOR THE DETECTION OF FOOD PATHOGENS

Abstract

Background: According to WHO report about one-third of people in developed countries are affected by food-borne pathogens each year. In developing countries this figure is significantly higher. Globalization of the trade means that contaminated food has the potential to spread widely. Therefore food pathogen became a challenge for Global Public health. Description: In order to detect Food pathogen, we have developed a user friendly comprehensive database to predict Insilco primer sequences (http.data base of food pathogen.bisr.res.in).There is an enormous number of microbial pathogen, we have studied mainly food pathogen responsible to cause foodborne illness. We have extracted information regarding their pathogenies, food source and their associated diseases and symptoms fallowed by them. Bacteria come out as most widely distributed food pathogen. Most of the time infections result in diarrhoea or dysentery, nausea followed by vomiting and abdominal cramping they have varying onset time. Myocotoxic or secondary metabolites are also responsible to cause food-borne illness. Protozoans are emerging as opportunistic food pathogen. Mainly the cases of food-borne illness are self-limiting and mild but occasionally they may lead to cause serious health hazard or may result in death. Conclusions: This database is expected to discriminate species specific pathogen and give better insight to sense the relationship between contaminated foods and illness supports food safety along the entire food production chain.