Identification and validation of defense related candidate genes in Sesamum under artificial inoculation of Macrophomina phaseolina

Sesame ( Sesamum indicum L.) suffers significant production loss due to the opportunistic fungus Macrophomina phaseolina which causes charcoal rot. Climate change-induced increasing temperatures and irregular seasonal patterns create the propitious disease triangle necessary for the infestation of t...

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Bibliographic Details
Published in:Nucleus (Calcutta) 2024-12, Vol.67 (3), p.497-516
Main Authors: Najar, Mushtaq Ahmad, Gangophadhay, Gaurab
Format: Article
Language:English
Subjects:
Amino acid sequence
Arabidopsis
Bioinformatics
Biomedical and Life Sciences
Cell Biology
Cell walls
Charcoal rot
climate
Climate change
Conserved sequence
disease susceptibility
fungi
gene expression regulation
genotype
Genotypes
hybrids
hydrolases
Inoculation
isoelectric point
Life Sciences
Localization
Macrophomina phaseolina
Molecular weight
opportunistic pathogens
Original Article
quantitative polymerase chain reaction
Seasonal variations
sequence homology
Sesamum
Sesamum indicum
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Summary:Sesame ( Sesamum indicum L.) suffers significant production loss due to the opportunistic fungus Macrophomina phaseolina which causes charcoal rot. Climate change-induced increasing temperatures and irregular seasonal patterns create the propitious disease triangle necessary for the infestation of this destructive fungus. This demands an improved sesame genotype for enhanced charcoal rot tolerance, achieved through our novel inter-specific hybrid ( S. indicum x S. mulayanum ). To get a global overview of transcripts responsive to induced infection of M. phaseolina , RNA-sequencing of cultivated ( S. indicum) , wild ( S. mulayanum ) and inter-specific hybrid was performed. Several potential differentially expressed genes (DEGs) which could foster an understanding of the Mp- sesame-pathosystem, were subjected to fluorescence-based quantitative real-time PCR (RT-qPCR). Potential candidate genes were annotated with model plant Arabidopsis to find putative functions based on conserved sequence similarity. Bioinformatics analysis was performed to gain insights into cellular localization, isoelectric point and protein molecular weight of identified candidate genes. Our combined results of the disease susceptibility index, and expression analysis of candidate genes highlighted the role of cell wall-related genes, phenylpropanoid pathway, hydrolases and expression trends in inter-specific hybrid, suggested enhanced tolerance to charcoal rot. Our study findings would bolster the understanding of the defense mechanism of sesame in response to M. phaseolina. Graphical abstract
ISSN:0029-568X
0976-7975
DOI:10.1007/s13237-024-00490-6