Biological evidence and molecular modeling of a grapevine Pinot gris virus outbreak in a vineyard

IF 3.3 3区 生物学 Q2 MICROBIOLOGY
J. hily, V. Komar, N. Poulicard, E. Vigne, O. Jacquet, Nathalie Protet, A. Spilmont, O. Lemaire
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引用次数: 4

Abstract

Since its identification in 2003, little has been revealed about the spread of grapevine Pinot gris virus (GPGV), an emerging grapevine virus. According to studies from Italy, GPGV transmission in the vineyard can be fast but progressive over the years. To gain new insights into the spread of GPGV infections, we tested 67 grapevines in a single vineyard parcel in southern France. These vines were sampled over eight years (2013-2020) and tested for GPGV by RT-PCR using a new primer pair designed from the recently described genetic diversity of GPGV worldwide. While focusing on a portion of the samples (20), we observed a drastic increase in newly GPGV-infected vines from 2014 (5%, 1 of 20) to 2015 (80%, 16 of 20) and 2016 (90%, 18 of 20). Infected vines were scattered throughout the vineyard with no distinct pattern of distribution and some rare vines remained negative through 2020. Using all available genomic information, we performed Bayesian-based phylogeographic analyses that identified a major intra-vineyard transmission in 2014-2015. To test our model, we analyzed 47 additional grapevines and confirmed the outbreak of GPGV in 2015, validating our in-silico projection. Interestingly, some grapevines remained negative throughout the study, in spite of their close proximity to infected plants. These results raise questions on the dynamic of vector populations and environmental conditions that may be required for virus spread to occur in the vineyard.
葡萄园爆发灰皮诺病毒的生物学证据和分子模型
自2003年被鉴定以来,人们对葡萄灰皮诺病毒(GPGV)的传播知之甚少,GPGV是一种新兴的葡萄病毒。根据意大利的研究,GPGV在葡萄园中的传播可能很快,但会随着时间的推移而逐渐增加。为了对GPGV感染的传播有新的了解,我们在法国南部的一个葡萄园地块上测试了67株葡萄藤。这些葡萄藤经过八年(2013-2020年)的采样,并使用一对新的引物通过RT-PCR检测GPGV,该引物是根据最近描述的全球GPGV的遗传多样性设计的。在关注部分样本(20)的同时,我们观察到,从2014年(5%,1/20)到2015年(80%,16/20)和2016年(90%,18/20),新感染GPGV的葡萄藤急剧增加。受感染的葡萄藤散布在整个葡萄园,没有明显的分布模式,一些罕见的葡萄藤在2020年一直呈阴性。利用所有可用的基因组信息,我们进行了基于贝叶斯的系统地理学分析,确定了2014-2015年葡萄园内的主要传播。为了测试我们的模型,我们分析了另外47株葡萄藤,并确认了2015年GPGV的爆发,验证了我们的计算机预测。有趣的是,在整个研究过程中,一些葡萄藤仍然呈阴性,尽管它们离受感染的植物很近。这些结果对病毒在葡萄园传播所需的媒介种群动态和环境条件提出了质疑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.40
自引率
6.80%
发文量
42
审稿时长
4 weeks
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