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卢旺达的玉米致死坏死病毒及其他玉米病毒

Maize lethal necrosis viruses and other maize viruses in Rwanda.

作者信息

Asiimwe Theodore, Stewart Lucy R, Willie Kristen, Massawe Deogracious P, Kamatenesi Jovia, Redinbaugh Margaret G

机构信息

Biotechnology Program Rwanda Agriculture Board Kigali Rwanda.

Corn, Soybean and Wheat Quality Research Unit USDA-ARS Wooster OH USA.

出版信息

Plant Pathol. 2020 Apr;69(3):585-597. doi: 10.1111/ppa.13134. Epub 2020 Feb 3.

DOI:10.1111/ppa.13134
PMID:35874461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9291312/
Abstract

Maize lethal necrosis (MLN) is emergent in East Africa, first reported in 2011 in Kenya, and is devastating to maize production in the region. MLN is caused by coinfection of maize with the emergent maize chlorotic mottle virus (MCMV) and any of several maize-infecting potyviruses endemic in East Africa and worldwide. Here, we examined the distribution of MCMV and sugarcane mosaic virus (SCMV), the major viruses contributing to MLN in Rwanda. These and other viruses in maize across Rwanda were further characterized by deep sequencing. When identified, MCMV had high titres and minimal sequence variability, whereas SCMV showed moderate titres and high sequence variability. Deep sequencing also identified maize streak virus and other maize-associated viruses, including a previously described polerovirus, maize yellow mosaic virus, and barley yellow dwarf virus, diverse maize-associated totiviruses, maize-associated pteridovirus, Zea mays chrysovirus 1, and a maize-associated betaflexivirus. Detection of each virus was confirmed in maize samples by reverse transcription polymerase chain reaction.

摘要

玉米致死坏死病(MLN)在东非地区出现,于2011年在肯尼亚首次报道,对该地区的玉米生产造成了毁灭性影响。MLN是由玉米同时感染新出现的玉米褪绿斑驳病毒(MCMV)和东非及全球流行的几种感染玉米的马铃薯Y病毒中的任何一种引起的。在此,我们研究了卢旺达境内导致MLN的主要病毒——MCMV和甘蔗花叶病毒(SCMV)的分布情况。通过深度测序进一步对卢旺达各地玉米中的这些病毒及其他病毒进行了特征分析。鉴定发现,MCMV滴度高且序列变异极小,而SCMV滴度中等且序列变异高。深度测序还鉴定出了玉米线条病毒及其他与玉米相关的病毒,包括一种先前描述过的马铃薯卷叶病毒、玉米黄花叶病毒、大麦黄矮病毒、多种与玉米相关的双链RNA病毒、与玉米相关的蕨病毒、玉米金色花叶病毒1以及一种与玉米相关的β弹性病毒。通过逆转录聚合酶链反应在玉米样本中证实了每种病毒的检测结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc6/9291312/90a530043046/PPA-69-585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc6/9291312/1e674b539589/PPA-69-585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc6/9291312/338182e29754/PPA-69-585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc6/9291312/90a530043046/PPA-69-585-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc6/9291312/1e674b539589/PPA-69-585-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc6/9291312/338182e29754/PPA-69-585-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5dc6/9291312/90a530043046/PPA-69-585-g002.jpg

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BMC Genomics. 2022 Nov 23;23(1):767. doi: 10.1186/s12864-022-09001-w.
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