Development of an Online Genome Sequence Comparison Resource for Strains Using the Efficient Composition Vector Method.

An automated method was developed for differentiating closely related () species, especially biopesticide from other human pathogens, and (). In the current research, four typing methods were initially compared, including multi-locus sequence typing (MLST), single-copy core genes phylogenetic analysis (SCCGPA), dispensable genes content pattern analysis (DGCPA) and composition vector tree (CVTree), to analyze the genomic variability of 23 strains from , , , and serovars. The CVTree method was the best option to be used for typing strains since it proved to be the fastest method, whilst giving high-resolution data about the strains. In addition, CVTree agrees well with ANI-based method, revealing the relationship between and other species. Based on these data, an online genome sequence comparison resource was built for strains called the Typing Bioinformatics Database to facilitate strain identification and characterization.