Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/1195
Title: Bipartite molecular approach for species delimitation and resolving cryptic speciation of Exobasidium vexans within the Exobasidium genus
Authors: Chaliha, Chayanika
Kaladhar, V. Chandra
Doley, Robin
Verma, Praveen K.
Kumar, Aditya
Kalita, Eeshan
Keywords: E. vexans
ITS
Cryptic speciation
Maximum parsimony
Maximum likelihood
Bayesian inference
Issue Date: 2021
Publisher: Elsevier B.V.
Citation: Computational Biology and Chemistry, 92: 107496
Abstract: 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 barcode-based species delimitation and evolutionary relationship of E. vexans within its genus Exobasidium.
Description: Accepted date: 21 April 2021
URI: https://www.sciencedirect.com/science/article/pii/S1476927121000633
http://223.31.159.10:8080/jspui/handle/123456789/1195
ISSN: 1476-9271
Appears in Collections:Institutional Publications

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