Horticulture Advances · 2023 · 10 citations · 45 references
AgriculturePlant BiologyPlant SciencesPlant GenomicsPlant Molecular BiologyPlant-microbe InteractionsDisease Resistance GeneticsGrapevine Gene ExpressionPlant Disease ResistancePlant Immune SignalingPlant-pathogen InteractionsResistance Gene DiscoveryGene Co-expression Network AnalysisGene Expression Network AnalysisGrape TranscriptomicsPathogen-plant InteractionsPlant Disease Resistance GenesPlant Disease Resistance MechanismsTranscriptome AnalysisWhole Transcriptome Analysis
Abstract Grape production in China is significantly impacted by white rot disease, which is caused by Coniella diplodiella (Speg.) Sacc . This study analyzes the differences in leaf transcriptomes and phenotypes of two grape species, ‘Manicure Finger ( Vitis vinifera L.)’ and ‘0940 ( Vitis davidii Foex)’, following inoculation with C. diplodiella . Leaf anatomy and H 2 O 2 content confirm the greater resistance of '0940' to C. diplodiella compared to 'Manicure Finger.' Comparative transcriptome analysis reveals that the defense mechanism of '0940' against C. diplodiella involves sesquiterpenoid and triterpenoid biosynthesis, plant-pathogen interactions, sulfur relay systems, suberin and wax biosynthesis, monoterpenoid biosynthesis, as well as flavonoid and flavonol biosynthesis pathways. Using Weighted Gene Co-expression Network Analysis (WGCNA), we identified three modules highly correlated with C. diplodiella resistance and 125 candidate genes, including resistant genes ( R genes), pattern-recognition receptors ( PRR s), and pathogenesis-related proteins genes ( PR genes), which may play important roles in grape resistance to this disease.
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clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Guangchuang Yu, Li-Gen Wang, Yanyan Han et al. · OMICS A Journal of Integrative Biology · 2012 · 38.3K citations
WGCNA: an R package for weighted correlation network analysis
Peter Langfelder, Steve Horvath · BMC Bioinformatics · 2008 · 29.1K citations · Full text