Department of Plant Pathology, Ohio Agricultural Research and Development Center, The Ohio State University, Wooster, OH 44691.
Corn, Soybean, and Wheat Quality Research Unit, U.S. Department of Agriculture Agricultural Research Service, Wooster, OH 44691.
Plant Dis. 2020 Jun;104(6):1789-1800. doi: 10.1094/PDIS-08-19-1724-RE. Epub 2020 Apr 29.
Ohio is a leading producer of soft red winter wheat in the United States. Many viruses impact wheat production, but there is a lack of contemporary information on the distribution and potential impact of wheat viruses in Ohio. To address this knowledge gap, we created a comprehensive dataset of viruses identified by high-throughput sequencing (HTS) and their incidence in field sites sampled across the state. Samples were collected from 103 field sites in surveys conducted in 2012, 2016, and 2017 and subjected to RNA HTS, reverse transcription (RT) PCR, or enzyme-linked immunosorbent assay to assess virus sequence diversity, prevalence, and incidence within fields. Partial and complete virus sequences were assembled and detection validated by RT-PCR. Assembled sequences were compared with previously known virus sequences, and novel sequences were validated by Sanger sequencing. The viruses detected most often included barley yellow dwarf virus (BYDV), cereal yellow dwarf virus (CYDV), wheat streak mosaic virus (WSMV), and wheat spindle streak mosaic virus (WSSMV). These viruses were detected at 67, 69, 55, and 28% of the field sites sampled, with mean incidences of 18, 19, 20, and 49%, respectively, within fields where they were detected. Brome mosaic virus (BMV) and cocksfoot mottle virus (CfMV) were also viruses of potential importance detected in Ohio, found in 26 and 17% of the field sites sampled, respectively. Based on results from logistic regression analyses, the presence of BYDV, CYDV, WSMV, and WSSMV was associated with the presence of volunteer wheat, BYDV and CfMV with monocots as the previous crop, and BMV with the presence of nearby corn fields ( < 0.10). For six viruses, there was evidence of spatial clustering in at least one field site and the variance of mean incidence was higher at the county level than at the regional spatial level. This finding suggests that county- and site-specific factors influenced the incidence and spatial pattern of some viruses. The results of this study provide a snapshot of viruses present in Ohio wheat and insights into their biology, potential risks to wheat production, and possible management strategies.
俄亥俄州是美国软红冬小麦的主要产地。许多病毒会影响小麦的产量,但目前缺乏关于俄亥俄州小麦病毒分布和潜在影响的现代信息。为了解决这一知识空白,我们创建了一个通过高通量测序(HTS)鉴定的病毒及其在全州采样点的发病率的综合数据集。这些样本是在 2012 年、2016 年和 2017 年的调查中从 103 个田间采样点收集的,并进行了 RNA HTS、逆转录(RT)PCR 或酶联免疫吸附试验,以评估田间病毒序列多样性、流行率和发病率。通过 RT-PCR 组装和检测验证了部分和完整的病毒序列。将组装的序列与以前已知的病毒序列进行比较,并通过 Sanger 测序验证新序列。检测到的最常见病毒包括大麦黄花叶病毒(BYDV)、禾谷多黏菌病毒(CYDV)、小麦线条花叶病毒(WSMV)和小麦梭条花叶病毒(WSSMV)。这些病毒在采样的 67%、69%、55%和 28%的田间点被检测到,在检测到的田间点中,平均发病率分别为 18%、19%、20%和 49%。雀麦花叶病毒(BMV)和雀稗斑点病毒(CfMV)也是在俄亥俄州检测到的具有潜在重要性的病毒,分别在采样的 26%和 17%的田间点被检测到。基于逻辑回归分析的结果,BYDV、CYDV、WSMV 和 WSSMV 的存在与自生小麦的存在有关,BYDV 和 CfMV 与前茬作物的 monocots 有关,BMV 与附近玉米田的存在有关(<0.10)。对于六种病毒,至少在一个田间点存在空间聚类的证据,并且在县级水平上平均发病率的方差高于区域空间水平。这一发现表明,县和地点特异性因素影响了一些病毒的发病率和空间模式。本研究的结果提供了俄亥俄州小麦中存在的病毒的快照,并深入了解了它们的生物学特性、对小麦生产的潜在风险以及可能的管理策略。