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高通量牛津纳米孔测序揭示堪萨斯小麦中的复杂病毒群体:对病毒可持续管理的启示

High-Throughput Oxford Nanopore Sequencing Unveils Complex Viral Population in Kansas Wheat: Implications for Sustainable Virus Management.

作者信息

Ranabhat Nar B, Fellers John P, Bruce Myron A, Rupp Jessica L Shoup

机构信息

Department of Plant Pathology, Throckmorton Plant Science Center, Kansas State University, Manhattan, KS 66506, USA.

Hard Winter Wheat Genetics Research Unit, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Manhattan, KS 66506, USA.

出版信息

Viruses. 2025 Jan 17;17(1):126. doi: 10.3390/v17010126.

Abstract

Wheat viruses are major yield-reducing factors, with mixed infections causing substantial economic losses. Determining field virus populations is crucial for effective management and developing virus-resistant cultivars. This study utilized the high-throughput Oxford Nanopore sequencing technique (ONT) to characterize wheat viral populations in major wheat-growing counties of Kansas from 2019 to 2021. Wheat leaves exhibiting virus-like symptoms were collected, total RNA was extracted, and cDNA libraries were prepared using a PCR-cDNA barcoding kit, then loaded onto ONT MinION flow cells. Sequencing reads aligned with cereal virus references identified eight wheat virus species. (wheat streak mosaic virus, WSMV), (Triticum mosaic virus, ), (brome mosaic virus, ), as well as , , , , and Mixed infections involving two to five viruses in a single sample were common, with the most prevalent being WSMV + TriMV at 16.7% and WSMV + TriMV + BMV at 11.9%. Phylogenetic analysis revealed a wide distribution of WSMV isolates, including European and recombinant variants. A phylogenetic analysis of based on RNA 3A and 3B segments and whole-genome characterization of were also conducted. These findings advance understanding of genetic variability, phylogenetics, and viral co-infections, supporting the development of sustainable management practices through host genetic resistance.

摘要

小麦病毒是导致产量下降的主要因素,混合感染会造成巨大的经济损失。确定田间病毒种群对于有效管理和培育抗病毒品种至关重要。本研究利用高通量牛津纳米孔测序技术(ONT)对2019年至2021年堪萨斯州主要小麦种植县的小麦病毒种群进行了特征分析。采集表现出病毒样症状的小麦叶片,提取总RNA,并使用PCR-cDNA条形码试剂盒制备cDNA文库,然后加载到ONT MinION流动槽上。与谷物病毒参考序列比对的测序读数鉴定出8种小麦病毒,即小麦线条花叶病毒(WSMV)、小麦花叶病毒(TriMV)、雀麦花叶病毒(BMV),以及其他几种病毒。单个样本中涉及两种至五种病毒的混合感染很常见,最常见的是WSMV + TriMV,占16.7%,WSMV + TriMV + BMV占11.9%。系统发育分析显示WSMV分离株分布广泛,包括欧洲和重组变体。还基于RNA 3A和3B片段对TriMV进行了系统发育分析,并对其全基因组进行了特征分析。这些发现增进了对遗传变异性、系统发育和病毒共感染的理解,支持通过宿主遗传抗性制定可持续的管理措施。

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