Distribution and genetic diversity analysis of fig mosaic virus in Kermanshah Province, Iran

IF 1.1 4区 农林科学 Q3 PLANT SCIENCES Journal of Phytopathology Pub Date : 2024-08-09 DOI:10.1111/jph.13371
Fatemeh Momeneh, Hadi Khateri, Mohammad Reza Safarnejad, Nahid Moarrefzadeh
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Abstract

Fig mosaic disease (FMD) poses a significant threat to fig (Ficus carica) trees globally. Fig mosaic virus (Emaravirus fici, Family Fimoviridae) is one of the main causes involved in FMD. E. fici has been reported in many countries, including Iran. This research investigated the genetic diversity and distribution of this virus in Kermanshah Province, the third fig-producing region in Iran. In 2021 and 2022, 128 samples, mainly displaying FMD symptoms, were collected from fig trees across nine counties. Using DAS-ELISA with polyclonal antibodies, 86 samples tested positive for fig mosaic virus. The 2-year-old healthy fig saplings grafted with scions from infected trees exhibited mosaic symptoms and tested positive for the virus in DAS-ELISA. Reverse transcription-polymerase chain reaction (RT-PCR) by RdRp-specific primers (E5-s and E5-a) also amplified a DNA fragment with the expected size of about 302 bp from the ELISA-positive samples. Five of the 12 symptomless samples showed positive results in both DAS-ELISA and RT-PCR. This indicates that the absence of symptoms in propagation sources does not imply that they are virus-free. Nucleotide sequences of RT-PCR products confirmed the fig mosaic virus infection. BLAST analysis of 20 samples (GenBank accession numbers OQ552535 to OQ552554) revealed that 19 sequences show high nucleotide identity (93.4%–96.8%) with an isolate from Lorestan Province, Iran (GenBank accession number KT732024). Notably, isolate FM203 showed distinct genetic divergence (86.6%–90.2% nucleotide identity) and shared similarities with some other Iranian isolates, including those from Kermanshah and Mazandaran provinces. Phylogenetic analysis grouped most isolates with the Lorestan isolate, while FM203 was placed in a separate cluster. This study highlighted the widespread presence of fig mosaic virus in Kermanshah Province, emphasizing varying infection rates across different counties, with Dalahoo County (Rijab) showing the highest prevalence.

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伊朗克尔曼沙阿省无花果花叶病毒的分布和遗传多样性分析
无花果花叶病(FMD)对全球的无花果树构成了严重威胁。无花果花叶病病毒(Emaravirus fici,Fimoviridae 科)是导致无花果花叶病的主要原因之一。包括伊朗在内的许多国家都有 E. fici 的报道。本研究调查了该病毒在伊朗第三大无花果产区克尔曼沙阿省的遗传多样性和分布情况。2021 年和 2022 年,研究人员从 9 个县的无花果树上采集了 128 份样本,主要是出现口蹄疫症状的样本。使用多克隆抗体进行 DAS-ELISA 检测,86 份样本的无花果花叶病毒检测结果呈阳性。用受感染树木的接穗嫁接的 2 年健康无花果树苗表现出花叶病症状,DAS-ELISA 病毒检测呈阳性。使用 RdRp 特异引物(E5-s 和 E5-a)进行的反转录聚合酶链反应(RT-PCR)也从 ELISA 检测呈阳性的样本中扩增出了预期大小约为 302 bp 的 DNA 片段。在 12 个无症状样本中,有 5 个样本的 DAS-ELISA 和 RT-PCR 结果均为阳性。这表明,繁殖源没有症状并不意味着它们没有病毒。RT-PCR 产物的核苷酸序列证实了无花果花叶病毒的感染。对 20 个样本(GenBank 编号 OQ552535 至 OQ552554)进行 BLAST 分析后发现,19 个序列与来自伊朗洛雷斯坦省的一个分离株(GenBank 编号 KT732024)的核苷酸相同度较高(93.4%-96.8%)。值得注意的是,分离株 FM203 显示出明显的遗传差异(86.6%-90.2% 的核苷酸同一性),并与其他一些伊朗分离株(包括来自克尔曼沙阿省和马赞达兰省的分离株)有相似之处。系统发育分析将大多数分离物与洛雷斯坦分离物归类,而 FM203 则被归入一个单独的群组。这项研究突显了无花果镶嵌病毒在克尔曼沙阿省的广泛存在,强调了不同县的不同感染率,其中达拉胡县(里贾布)的感染率最高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Phytopathology
Journal of Phytopathology 生物-植物科学
CiteScore
2.90
自引率
0.00%
发文量
88
审稿时长
4-8 weeks
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.
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