ICAR-Indian Institute of Vegetable Research, Varanasi, Uttar Pradesh, 221305, India.
ICAR-Central Coastal Agricultural Research Institute, Old Goa, Goa, 403402, India.
Sci Rep. 2021 Sep 9;11(1):17883. doi: 10.1038/s41598-021-97232-4.
During 2018 an intensive study was conducted to determine the viruses associated with cucurbitaceous crops in nine agroclimatic zones of the state of Uttar Pradesh, India. Total of 563 samples collected and analysed across 14 different cucurbitaceous crops. The results showed the dominance of Begomovirus (93%) followed by Potyvirus (46%), cucumber green mottle mosaic virus (CGMMV-39%), Polerovirus (9%), cucumber mosaic virus (CMV-2%) and Orthotospovirus (2%). Nearly 65% of samples were co-infected with more than one virus. Additionally, host range expansion of CMV, CGMMV and polerovirus was also observed on cucurbit crops. A new potyvirus species, zucchini tigre mosaic virus, earlier not documented from India has also been identified on five crops during the study. Risk map generated using ArcGIS for virus disease incidence predicted the virus severity in unexplored areas. The distribution pattern of different cucurbit viruses throughout Uttar Pradesh will help identify the hot spots for viruses and will facilitate to devise efficient and eco-friendly integrated management strategies for the mitigation of viruses infecting cucurbit crops. Molecular diversity and evolutionary relationship of the virus isolates infecting cucurbits in Uttar Pradesh with previously reported strains were understood from the phylogenetic analysis. Diverse virus infections observed in the Eastern Plain zone, Central zone and North-Eastern Plain zone indicate an alarming situation for the cultivation of cucurbits in the foreseeable future.
2018 年,在印度北方邦的 9 个农业气候带进行了一项密集研究,以确定与葫芦科作物相关的病毒。共采集和分析了来自 14 种不同葫芦科作物的 563 个样本。结果表明,双生病毒(93%)占优势,其次是马铃薯 Y 病毒(46%)、黄瓜绿斑驳花叶病毒(CGMMV-39%)、极细病毒(9%)、黄瓜花叶病毒(CMV-2%)和番茄斑萎病毒(2%)。近 65%的样本同时感染了一种以上的病毒。此外,还观察到 CMV、CGMMV 和极细病毒对葫芦科作物的宿主范围扩大。在研究过程中,还在五种作物上鉴定出了一种以前未在印度记录过的新马铃薯 Y 病毒种——南瓜虎纹花叶病毒。使用 ArcGIS 生成的病毒病发病率风险图预测了未探索地区的病毒严重程度。整个北方邦不同葫芦科病毒的分布模式有助于确定病毒热点,并有助于制定高效和环保的综合管理策略,以减轻感染葫芦科作物的病毒。通过系统发育分析了解了感染北方邦瓜类的病毒分离物的分子多样性和进化关系与以前报道的株系。在东部平原区、中部区和东北平原区观察到的多种病毒感染表明,在可预见的未来,瓜类作物的种植形势令人担忧。