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An in silico model for rapid identification of multiple bacteria in resource limited laboratories

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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.

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Authors and Affiliations

  1. School of Bio Sciences and Technology, VIT University, Vellore, 632014, India

    Subramanian Babu, Asit Ranjan Ghosh, Ramamoorthy Siva & Chinnadurai Immanuel Selvaraj

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  1. Subramanian Babu
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  2. Asit Ranjan Ghosh
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  3. Ramamoorthy Siva
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  4. Chinnadurai Immanuel Selvaraj
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Correspondence to Subramanian Babu.

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Babu, S., Ghosh, A.R., Siva, R. et al. An in silico model for rapid identification of multiple bacteria in resource limited laboratories. Interdiscip Sci Comput Life Sci 6, 300–302 (2014). https://doi.org/10.1007/s12539-012-0058-4

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  • DOI: https://doi.org/10.1007/s12539-012-0058-4

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