4.7 Article

Occurrence and High-Throughput Sequencing of Viruses in Ohio Wheat

期刊

PLANT DISEASE
卷 104, 期 6, 页码 1789-1800

出版社

AMER PHYTOPATHOLOGICAL SOC
DOI: 10.1094/PDIS-08-19-1724-RE

关键词

cereals and grains; field crops; disease management; pathogen detection; pathogen diversity; viruses and viroids

资金

  1. Ohio Small Grains Marketing Program
  2. Ohio Agricultural Research and Development Center SEEDS industry grant program
  3. U.S. Department of Agriculture Agricultural Research Service
  4. Ohio State University Department of Plant Pathology
  5. state and federal funds

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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 (P < 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.

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