Modern bacterial classification relies on genomic relatedness. Genetic variation in bacterial populations present a big challenge for taxonomic classification and recently several bacterial species have been reclassified based on the intra-species genome comparison. These were facilitated by next generation sequencing technologies and advances in genome comparison approaches which led to the rearrangement of diverse bacterial species and revolution in the microbial classification system. One of the outcome of these studies is the development of suitable DNA barcodes as reliable and cost-effective method for identifying various bacterial genera. Towards refining this further, we have applied a genome comparison approach in 1104 bacterial genome assemblies (excluding plasmids) to identify unique genomic segments among intra-species genome assemblies. Using extensive bioinformatics analysis, we have identified species-specific genomic regions and designed unique primers for 100 different species (belonging to 62 genera) which includes 62 pathogenic and 13 opportunistic pathogenic bacterial species and built a database (http://slsdb.manipal.edu/bact/). These species-specific genomic regions will have a major impact on in silico and molecular methods aimed at bacterial classification and identification. These may also serve as better DNA barcodes than the markers currently used for delineation of bacteria and may also find application in various translational research programs.

现代细菌分类依赖于基因组相关性。细菌种群中的遗传变异对分类学分类提出了很大的挑战，近来已经根据种内基因组比较对几种细菌进行了重新分类。下一代测序技术和基因组比较方法的进步促进了这些工作，这些方法导致了多种细菌种类的重新排列和微生物分类系统的革命。这些研究的结果之一是开发合适的DNA条码，作为鉴定各种细菌属的可靠且经济高效的方法。为了进一步完善这一点，我们在1104个细菌基因组组件（不包括质粒）中应用了基因组比较方法，以识别物种内基因组组件之间的独特基因组片段。通过广泛的生物信息学分析，我们已经确定了物种特定的基因组区域，并针对100个不同物种（属于62个属）设计了独特的引物，其中包括62个致病细菌和13个机会致病细菌物种，并建立了数据库（http：//slsdb.manipal）。 edu / bact /）。这些特定物种的基因组区域将对旨在对细菌进行分类和鉴定的计算机方法和分子方法。与目前用于细菌鉴定的标记相比，这些标记还可作为更好的DNA条形码，并且还可在各种翻译研究程序中找到应用。