Title

Phylogenetic analysis based evolutionary study of 16S rRNA in known Pseudomonas sp

Authors

Arindam Adhikari^1,2 , Suvodip Nandi², Indrabrata Bhattacharya³, Mithu De Roy⁴, Tanusri Mandal¹ & Subrata Dutta³* 

Affiliation

¹Department of Biotechnology, O.I.S.T. Vidyasagar University, Paschim Medinipur, India; ²AICRP on Vegetables crops, Directorate of research, BCKV, Kalyani, India; ³Department of Plant Pathology, BCKV, Mohanpur, Nadia, India; ⁴Soil Testing Laboratory, PORS, Berhampore, Murshidabad, India

Email

subrata_mithu@yahoo.co.in;  *Corresponding author

Article Type

Hypothesis

Date

Received April 12, 2015; Accepted April 15, 2015; Published October 31, 2015

Molecular evolution analysis of 16S rRNA sequences of native Pseudomonas strains and different fluorescent pseudomonads were conducted on the basis of Molecular Evolutionary Genetics Analysis version 5.2 (MEGA5.2). Topological evaluations show common origin for native strains with other known strains with available sequences at GenBank database.  Phylogenetic affiliation of different Pseudomonas sp based on 16S rRNA gene shows that molecular divergence contributes to the genetic diversity of Pseudomonas sp. Result indicate direct dynamic interactions with the rhizospheric pathogenic microbial community. The selection pressure acting on 16S rRNA gene was related to the nucleotide diversity of Pseudomonas sp in soil rhizosphere community among different agricultural crops. Besides, nucleotide diversity among the whole population was very low and tajima test statistic value (D) was also slightly positive (Tajima’s test statistics D value 0.351). This data indicated increasing trends of infection of soil-borne pathogens under gangetic-alluvial regions of West Bengal due to high degree of nucleotide diversity with decreased population of plant growth promoting rhizobacteria like fluorescent Pseudomonads   in soil.

Molecular diversity, Positive selection, 16S rRNA, MEGA5.2, Pseudomonas sp.

Citation

Adhikari et al. Bioinformation 11(10): 474-480 (2015)
 

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.