An in silico molecular evolutionary analysis of selected species of Phoma: A comparative approach

2Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

Abstract

The genus Phoma, a common plant pathogen is taxonomically controversial. The conventional systems of classification of Phoma are functional but require considerable expertise to apply, which have resulted in a highly polyphyletic genus Phoma. The advent of molecular taxonomic techniques offered a solution for many problems, which were out of reach for classical taxonomic approaches. The method of construction of phylogenetic tree based on molecular data is widely used to determine evolutionary relationships. In the present study, we have selected 28S, 18S, and 5.8S with ITS region nucleotide sequences, actin gene sequences and beta tubulin gene sequences for the in silico analysis of the evolutionary relationship. The main objectives of the study were to assess the genetic variations and relatedness along with the investigation, identification, classification and evolutionary relationships among the eleven selected Phoma species. Confirmation of our results has been done by applying various statistical tests. The results have revealed that species have a number of discrete, highly divergent, genetic units. In contrast, some species have high sequence similarity and identity to each other, which are found as distinct classically. Our phylogenetic analysis has revealed that first speciation event is quickly followed by a second speciation event in one of the two resulting population of Phoma species. © 2009 Dangre DM, et al.

Cite

CITATION STYLE

APA

Dangre, D. M., Rathod, D. P., Gade, A. K., & Rai, M. K. (2009). An in silico molecular evolutionary analysis of selected species of Phoma: A comparative approach. Journal of Proteomics and Bioinformatics, 2(7), 295–309. https://doi.org/10.4172/jpb.1000089

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free