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An in silico model for rapid identification of multiple bacteria in resource limited laboratories
Published in Springer Science and Business Media LLC
2014
PMID: 25108457
Volume: 6
   
Issue: 4
Pages: 300 - 302
Abstract
We have developed an in silico model for simplified detection of five major food borne bacteria using common PCR primer based on conserved region °anking a variable region in the first rRNA operon sequences. The RFLP pattern exhibited on virtual SmaI and MboI digestion were unique to each genus. This design is based on the combination of comparative sequence analysis, conventional PCR and restriction digestion methods. We believe this approach as a better alternative to 16S rRNA sequencing based identification / detection of bacteria and suited for the resource limited academic research laboratories in which variety of bacteria are used in different students’ projects. © 2014, International Association of Scientists in the Interdisciplinary Areas and Springer-Verlag Berlin Heidelberg.
About the journal
JournalData powered by TypesetInterdisciplinary Sciences: Computational Life Sciences
PublisherData powered by TypesetSpringer Science and Business Media LLC
ISSN1913-2751
Open AccessNo
Authors (4)