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基于小RNA深度测序的浙江省丝瓜病毒种类鉴定

石玉洁 柴亚倩 高璐瑶 董文其 张鹏 周胜军 王欣 朱育强 孙玉燕

浙江农业学报2026,Vol.38Issue(8):1620-1627,8.
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浙江农业学报2026,Vol.38Issue(8):1620-1627,8.DOI:10.3969/j.issn.1004-1524.20250501

基于小RNA深度测序的浙江省丝瓜病毒种类鉴定

Identification of virus species infecting sponge gourd in Zhejiang Province of China based on small RNA deep sequencing

石玉洁 1柴亚倩 1高璐瑶 2董文其 2张鹏 2周胜军 2王欣 2朱育强 2孙玉燕2

作者信息

  • 1. 浙江省农业科学院 蔬菜研究所,浙江 杭州 310021||石河子大学 农学院,新疆 石河子 832003
  • 2. 浙江省农业科学院 蔬菜研究所,浙江 杭州 310021
  • 折叠

摘要

Abstract

To identify the virus species infecting sponge gourd in Zhejiang Province,small RNA deep sequencing technology was performed on two diseased sponge gourd leaves exhibiting typical viral symptoms collected from Jia-xing and Shaoxing,Zhejiang.The results showed that Tomato leaf curl New Delhi virus(ToLCNDV)was detected in the Jiaxing sample,while ToLCNDV,Cucurbit yellow stunting disorder virus(CYSDV)and Cucurbit chlorotic yellows virus(CCYV)were identified in Shaoxing sample.ToLCNDV was detected in both regions with high contig numbers and coverage.Phylogenetic analysis of the identified ToLCNDV DNA-A sequence indicated that the current pathogen-ic ToLCNDV in this study belongs to the Asian strain,with genetic evolution closely related to geographical regions,and cross-host transmission is widespread across regions.PCR detection of 37 samples from Zhejiang,Guangxi and Jiangxi revealed ToLCNDV detection rates of 87.5%,60%and 100%,respectively.These results demonstrated that ToLCNDV had become a predominant virus in major sponge gourd production areas of Zhejiang and other prov-inces,warranting vigilance against the potential severe threat posed by its rapid spread and large-scale outbreaks to the luffa industry.

关键词

丝瓜/小RNA深度测序/新德里番茄曲叶病毒/病毒

Key words

sponge gourd/small RNA deep sequencing/Tomato leaf curl New Delhi virus(ToLCNDV)/virus

分类

农业科技

引用本文复制引用

石玉洁,柴亚倩,高璐瑶,董文其,张鹏,周胜军,王欣,朱育强,孙玉燕..基于小RNA深度测序的浙江省丝瓜病毒种类鉴定[J].浙江农业学报,2026,38(8):1620-1627,8.

基金项目

浙江省重点研发计划(2024C02003-5) (2024C02003-5)

浙江省农业(蔬菜)新品种选育重大科技专项子课题(2021C02065-2-4) (蔬菜)

浙江省瓜菜种质资源表型精准鉴定(2022JZJD003) (2022JZJD003)

浙江农业学报

1004-1524

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