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Candidate resistance genes selection and transcriptome analysis for the early responses to Plasmopara viticola infection in grape cultivars

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Abstract

Grape downy mildew (Plasmopara viticola) is one of the most destructive diseases of grapevine worldwide. In order to better understand the cellular processes involved in resistance to downy mildew, leaves of Vitis vinifera cv. ‘Centennial Seedless’ (susceptible) and Vitis labrusca×Vitis riparia cv. ‘Beta’ (resistant) were inoculated with Plasmopara viticola, and were used in the Illumina HiSeq™2000 platform for deep transcriptome sequencing. We performed transcriptome analysis and identified a total of 1091 differentially expressed genes (DEGs) in the disease-resistant cultivar and 849 in the susceptible cultivar. To increase understanding of the DEGs, the datasets were analyzed using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genome (KEGG) database. Most of them were found to be associated with plant–pathogen interaction, flavonoid synthesis, phenylpropanoid synthesis metabolism and phytohormone signal transduction. Moreover, transcription factors ERF, MYB, WRKY, and bHLH associated with disease resistance were screened. A total of 196 genes were identified as the candidate resistant genes. The expression of 18 differentially expressed genes was detected by RT-qPCR. Finally, the pattern of differentially expressed genes was consistent with the result of transcriptome sequencing. The present study identified several candidate resistance genes and signal transduction pathways that may contribute to downy mildew resistance in grapes.

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Acknowledgments

For the technical assistance during the data analysis, we would like to thank Bioeditas Technology Corporation (Shanxi, China).

This study was funded by Special Fund for AgroScientific Research in the Public Interest of the People’s Republic of China (201203035), and the Funded Projects for Science and Technology Development Plan of Liaoning (No. 2018103003).

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Authors and Affiliations

  1. College of Plant Protection, Shenyang Agricultural University, Shenyang, 110866, China

    Li Liu, Bo Zhang & Yu Fei Huang

  2. Institute of Plant Protection, Liaoning Academy of Agricultural Sciences, Shenyang, 110161, China

    Li Liu, Hui Wang, Shu Yi Yu, Tian Shu Guan & Chang Yuan Liu

  3. School of Chemistry and Life Science, Anshan Normal University, Anshan, 114007, China

    Bo Zhang

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  1. Li Liu
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Liu, L., Zhang, B., Wang, H. et al. Candidate resistance genes selection and transcriptome analysis for the early responses to Plasmopara viticola infection in grape cultivars. J Plant Pathol 102, 857–869 (2020). https://doi.org/10.1007/s42161-020-00546-x

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