Sequencing and restriction analysis of genes like 16S rRNA and HSP60 are intensively used for molecular identification in the\nmicrobial communities. With aid of the rapid progress in bioinformatics, genome sequencing became the method of choice for\nbacterial identification. However, the genome sequencing technology is still out of reach in the developing countries. In this\npaper, we propose FN-Identify, a sequencing-free method for bacterial identification. FN-Identify exploits the gene sequences\ndata available in GenBank and other databases and the two algorithms that we developed, Create Scheme and Gene Identify,\nto create a restriction enzyme-based identification scheme. FN-Identify was tested using three different and diverse bacterial\npopulations (members of Lactobacillus, Pseudomonas, and Mycobacterium groups) in an in silico analysis using restriction enzymes\nand sequences of 16S rRNA gene.The analysis of the restriction maps of the members of three groups using the fragment numbers\ninformation only or along with fragments sizes successfully identified all of the members of the three groups using a minimum of\nfour and maximum of eight restriction enzymes. Our results demonstrate the utility and accuracy of FN-Identify method and its\ntwo algorithms as an alternative method that uses the standard microbiology laboratories techniques when the genome sequencing\nis not available.
Loading....