Deciphering the evolutionary affiliations among bacterial strains (Pseudomonas and Frankia sp.) inhabiting same ecological niche using virtual RFLP and simulation-based approaches

3 Biotech. 2016 Dec;6(2):178. doi: 10.1007/s13205-016-0488-5. Epub 2016 Aug 23.

Abstract

To decipher an evolutionary lineage between two different but important bacterial groups, i.e., Pseudomonas strain (γ-Proteobacteria) and Frankia strain (actinobacteria) growing in the same ecological niche in and around of an actinorhizal plant Hippophae salicifolia D. Don, genetic diversity and comparative molecular phylogeny have been investigated using 16S rRNA gene sequences and computer-simulated and virtually directed restriction fragment length polymorphism (RFLP) through 10 restriction enzymes. Bayesian and coalescent analyses on the basis of 16S rRNA gene sequences suggested three major groups with close proximity between Pseudomonas and Frankia isolates. This result has been further validated based on the data observed through similarity coefficient value and computational RFLP. Principal component analysis and Mandel h and k statistical analysis also confirmed and strengthen the findings. Approximately 458 aligned sequence of all the taxa were used to decipher nucleotide diversity, polymorphism and gene flow between these taxa. Thus, our results suggest for a possible co-evolution or a heterologous gene transfer of distantly related microbial forms. Further, our study also advocate for the use of computer aided, virtual RFLP analysis as a cost effective and rapid identification tool.

Keywords: 16S rRNA gene sequences; Frankia sp.; Phylogeny; Pseudomonas sp.; Virtual RFLP.