4.5 Article

Bipartite molecular approach for species delimitation and resolving cryptic speciation of Exobasidium vexans within the Exobasidium genus

Journal

COMPUTATIONAL BIOLOGY AND CHEMISTRY
Volume 92, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compbiolchem.2021.107496

Keywords

E; vexans; ITS; Cryptic speciation; Maximum parsimony; Maximum likelihood; Bayesian inference

Funding

  1. DBT, Govt. of India [BT/427/NE/TBP/2013]
  2. European Commission [598797-EPP-1-2018-1-EL-EPPKA2-CBHE-JP]
  3. MHRD-Indian Institute of Science [STARS/APR2019/NS/527/FS]
  4. DST, Govt. of India [IF-150964]
  5. Erasmus+ [598797-EPP-1-2018-1-EL-EPPKA2-CBHE-JP] Funding Source: Erasmus+

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The molecular identification of Exobasidium vexans, the causative agent of blister blight disease in tea, poses a challenge due to limited genomic data availability and cryptic speciation within the genus. This study successfully utilized the ITS DNA barcode for molecular identification, confirming the evolutionary relationship and speciation process within the genus. The research sheds light on the significance of molecular barcode-based species delimitation and evolutionary relationship of E. vexans within its genus Exobasidium.
Exobasidium vexans, a basidiomycete pathogen, is the causal organism of blister blight disease in tea. The molecular identification of the pathogen remains a challenge due to the limited availability of genomic data in sequence repositories and cryptic speciation within its genus Exobasidium. In this study, the nuclear internal transcribed spacer rDNA region (ITS) based DNA barcode was developed for E. vexans, to address the problem of molecular identification within the background of cryptic speciation. The isolation of E. vexans strain was confirmed through morphological studies followed by molecular identification utilizing the developed ITS barcode. Phylogenetic analysis based on Maximum Parsimony (MP), Maximum Likelihood (ML) and Bayesian Inference (BI) confirmed the molecular identification of the pathogen as E. vexans strain. Further, BI analysis using BEAST mediated the estimation of the divergence time and evolutionary relationship of E. vexans within genus Exobasidium. The speciation process followed the Yule diversification model wherein the genus Exobasidium is approximated to have diverged in the Paleozoic era. The study thus sheds light on the molecular barcodebased species delimitation and evolutionary relationship of E. vexans within its genus Exobasidium.

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