Poster
Gizem Unal
University of Worcester
WORCESTER, England, United Kingdom
Deniz Göl
Post Doc
University of Worcester
Worcester, England, United Kingdom
Emeka Okechukwu
Post Doc
University of Birmingham
Birmingham, England, United Kingdom
Anne Webb
Post Doc
NIAB
Cambridge, England, United Kingdom
Tom Woods
Dr
NIAB
Cambridge, England, United Kingdom
Yiguo Hong
Professor
University of Worcester
Worcester, England, United Kingdom
Sherif Sherif
Dr
Virginia Agricultural Research and Extension Centers
Blacksburg, Virginia, United States
Mahmut Tör
Professor
University of Worcester
Worcester, England, United Kingdom
Downy mildew, caused by Peronospora viciae f. sp. pisi (Pvp), poses a significant threat to pea (Pisum sativum) production, leading to severe yield losses. Traditional fungicide-based control raises concerns about sustainability and resistance. Exogenous double-stranded RNA (dsRNA) application offers a promising alternative via RNA interference (RNAi). This study aimed to optimize dsRNA-based approaches for controlling Pvp by selecting and validating key gene targets. Using insights from Hyaloperonospora arabidopsidis (Hpa)-Arabidopsis interactions, we identified 28 candidate Pvp genes and tested their roles in pathogen development using short synthesized dsRNAs (SS-dsRNAs). Genes like Cellulose Synthase 3 (CesA3) were further analysed using longer in vitro-produced dsRNAs, which significantly reduced Pvp spore germination and disease progression both in vitro and in planta. Furthermore, small RNA (sRNA) sequencing revealed bidirectional cross-kingdom RNA interactions between pea plant and Pvp. We identified three Pvp genes targeted by pea-derived sRNAs and two Pvp genes encoding sRNAs that regulate pea gene expression. Targeting these five genes with SS-dsRNAs completely inhibited Pvp infection in pea plants. These findings highlight the Spray-Induced Gene Silencing (SIGS) as a scalable, eco-friendly strategy for downy mildew control in pea and provide a framework for optimizing dsRNA applications by refining target selection and delivery methods for enhanced efficacy.