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基于下一代测序的坦桑尼亚野生植物常见豆科病毒检测及其对普通菜豆植物的机械传播。

Next-Generation Sequencing-Based Detection of Common Bean Viruses in Wild Plants from Tanzania and Their Mechanical Transmission to Common Bean Plants.

机构信息

Disease Control Unit, Tanzania Agricultural Research Institute - Mikocheni Centre, Dar es Salaam, Tanzania.

Department of Crop Science and Horticulture, Sokoine University of Agriculture, Morogoro, Tanzania.

出版信息

Plant Dis. 2021 Sep;105(9):2541-2550. doi: 10.1094/PDIS-07-20-1420-RE. Epub 2021 Oct 24.

DOI:10.1094/PDIS-07-20-1420-RE
PMID:33449805
Abstract

Viral diseases are a major threat for common bean production. According to recent surveys, >15 different viruses belonging to 11 genera were shown to infect common bean ( L.) in Tanzania. Virus management requires an understanding of how viruses survive from one season to the next. During this study, we explored the possibility that alternative host plants have a central role in the survival of common bean viruses. We used next-generation sequencing (NGS) techniques to sequence virus-derived small interfering RNAs together with conventional reverse-transcription PCRs (RT-PCRs) to detect viruses in wild plants. Leaf samples for RNA extraction and NGS were collected from 1,430 wild plants around and within common bean fields in four agricultural zones in Tanzania. At least partial genome sequences of viruses potentially belonging to 25 genera were detected. The greatest virus diversity was detected in the eastern and northern zones, whereas wild plants in the Lake zone and especially in the southern highlands zone showed only a few viruses. The RT-PCR analysis of all collected plant samples confirmed the presence of yam bean mosaic virus and peanut mottle virus in wild legume plants. Of all viruses detected, only two viruses, cucumber mosaic virus and a novel bromovirus related to cowpea chlorotic mottle virus and brome mosaic virus, were mechanically transmitted from wild plants to common bean plants. The data generated during this study are crucial for the development of viral disease management strategies and predicting crop viral disease outbreaks in different agricultural regions in Tanzania and beyond.[Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

摘要

病毒病是普通豆类生产的主要威胁。根据最近的调查,在坦桑尼亚,超过 15 种属于 11 个属的不同病毒被证实感染普通豆(L.)。病毒管理需要了解病毒如何从上一季存活到下一季。在这项研究中,我们探讨了替代寄主植物是否在普通豆病毒的存活中起核心作用。我们使用下一代测序(NGS)技术对病毒衍生的小干扰 RNA 进行测序,同时使用常规逆转录 PCR(RT-PCR)检测野生植物中的病毒。从坦桑尼亚四个农业区的普通豆田周围和内部的 1430 种野生植物中采集用于 RNA 提取和 NGS 的叶片样本。检测到潜在属于 25 个属的病毒的部分基因组序列。在东部和北部地区检测到最大的病毒多样性,而在湖区和特别是南部高地地区的野生植物只显示出少数几种病毒。对所有采集植物样本的 RT-PCR 分析证实了在野生豆科植物中存在山药豆花叶病毒和花生斑驳病毒。在所检测到的所有病毒中,只有两种病毒,即黄瓜花叶病毒和一种与豇豆花叶病毒和雀麦花叶病毒有关的新型 Bromovirus,能够从野生植物机械传播到普通豆类植物。本研究产生的数据对于制定病毒病管理策略和预测坦桑尼亚及其他地区不同农业地区的作物病毒病暴发至关重要。[公式:见正文]版权所有©2021 作者。这是一个在 CC BY 4.0 国际许可下发布的开放获取文章。

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