16S rRNA gene flow in Enterococcus spp. and SNP analysis: A reliable approach for specie level identification

Abstract

BackgroundA major task of biodiversity researchers is speciation and understanding the processes of divergence. This type of research can provide a clear understanding of the mechanisms that produce biodiversity. We analyzed the 16S rRNA gene data by utilizing multivariate statistics for analyses of microbial community structures. ResultsThe 16S rRNA gene is the most widely applied genetic marker to study microbial community studies and their phylogenetic relationship. The groups were created by several clustering methods to visualize the relationship among the individuals, but overall, clustering methods did not influence the grouping of individuals in the population structure. The statistical tools applied in this study indicate the clonal population. According to the AMOVA test, the genetic difference was very low within populations (0.69) compared to between samples (5.85). ConclusionThe haplotype network, dendrogram, minimum spanning network, and secondary structure prediction results confirmed that the S2C isolate is E. durans.