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Published on: August 31, 2018
De novo transcriptome sequencing and analysis for Venturia inaequalis, the devastating apple scab pathogen
Karnika Thakur1, Vandna Chawla, Shammi Bhatti
1Biotechnology Division, CSIR-Institute of Himalayan Bioresource Technology (Council of Scientific and Industrial Research), Palampur, Himachal Pradesh, India.
This study characterizes the transcriptome of Venturia inaequalis, the apple scab pathogen. Researchers identified key genes and functions involved in its pathogenesis, providing a foundation for future research on this devastating fungal disease.
Area of Science:
- Plant Pathology
- Mycology
- Genomics
Background:
- Apple scab, caused by Venturia inaequalis, is a major threat to apple production.
- Venturia inaequalis serves as a model organism for studying hemibiotrophic plant-pathogen interactions.
Purpose of the Study:
- To de novo assemble, annotate, and characterize the transcriptome of Venturia inaequalis.
- To identify genes and functions critical for the pathogenesis of apple scab.
Main Methods:
- Illumina RNA sequencing was used to analyze Venturia transcripts during in vitro growth and apple infection.
- Transcriptome assembly yielded 62,061 contigs representing 24,571 unique genes.
- Gene Ontology (GO), EC, and KEGG pathway analyses were performed.
Main Results:
- The study identified numerous genes related to metabolism, transport, response to stimulus, binding, catalytic activity, and transferase activity.
- Key genes encoding kinases, proteases, glycoside hydrolases, cutinases, cytochrome P450, and transcription factors were prevalent.
- A significant number of membrane transporter genes were identified, exceeding those in other fungal pathogens, along with putative pathogenicity determinants and effectors.
Conclusions:
- The findings enhance understanding of Venturia inaequalis biology and pathogenesis.
- Candidate genes and functions essential for apple scab development were identified.
- This research provides a foundation for future studies on apple-Venturia host-pathogen interactions.
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