Mariam H. Al-Helu, Adnan A. Lahuf, Zuhair M. A. Jeddoa, Zhongtian Xu, Junmin Li
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引用次数: 0
Abstract
Okra (Abelmoschus esculentus L. Moench) is a widely cultivated vegetable crop, yet highly susceptible to viral infections. During the 2023 growing season, a field survey in Al-Yusufiyah, Baghdad, Iraq, revealed typical viral symptoms in okra, with a 30% disease incidence and high whitefly (Bemisia tabaci) infestation. Thirty symptomatic samples underwent molecular analysis, including RNA extraction and high-throughput sequencing. Bioinformatics and BLASTx analysis identified a begomovirus complex consisting of Cotton leaf curl Gezira virus (CLCuGV), its associated betasatellite (CLCuGB), alphasatellite (CLCuGA), and Okra leaf curl alphasatellite (OLCuA), with 98%–99% identity to regional isolates. PCR and transmission assays confirmed infectivity and symptom reproduction in okra. This study reports, for the first time in Iraq, okra as a natural host for CLCuGV and CLCuGB, alongside the presence of CLCuGA and OLCuA. These findings provide critical insight into the viral disease complex affecting okra and highlight the need for effective virus management strategies in Iraqi agriculture.
期刊介绍:
Journal of Phytopathology publishes original and review articles on all scientific aspects of applied phytopathology in agricultural and horticultural crops. Preference is given to contributions improving our understanding of the biotic and abiotic determinants of plant diseases, including epidemics and damage potential, as a basis for innovative disease management, modelling and forecasting. This includes practical aspects and the development of methods for disease diagnosis as well as infection bioassays.
Studies at the population, organism, physiological, biochemical and molecular genetic level are welcome. The journal scope comprises the pathology and epidemiology of plant diseases caused by microbial pathogens, viruses and nematodes.
Accepted papers should advance our conceptual knowledge of plant diseases, rather than presenting descriptive or screening data unrelated to phytopathological mechanisms or functions. Results from unrepeated experimental conditions or data with no or inappropriate statistical processing will not be considered. Authors are encouraged to look at past issues to ensure adherence to the standards of the journal.