In phylogenetics, there are several ways to infer phylogenetic relationships. Bayesian inference for estimating phylogenetic trees has been proposed as one of the most suitable character-based methods. It is based on the notion of posterior probabilities: probabilities that are estimated after learning something from the data. In this study we have firstly tried to study phylogenetic relationships by Bayesian methods in the Phoma genus. Twenty-seven isolates of ten different Phoma species were firstly characterised morphologically, and then their tef1 sequences were sequenced and analysed by Bayesian methods carried out by MrBayes program. According to phylogenetic tree inferred by Bayesian analysis, the different Phoma taxons are well separated proving that Bayesian inference is well suited for phylogenetic studies among Phoma species. However, the phylogenetic tree does not support the traditional Phoma sections based on morphological characterization. The Bayesian analyses of the tef1 sequences confirmed that the Phyllosticta sojicola species is clustered with the Phoma exigua var. exigua group and the Phoma sojicola is grouped with Phoma pinodella group. The experienced molecular evidences initiate the demand of reclassification of formerly mentioned soybean pathogens.
- Bayesian analysis
- Translation elongation factor
ASJC Scopus subject areas
- Agronomy and Crop Science