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寡核苷酸管芯片技术检测和鉴别我国不同组植原体
引用本文:王圣洁,林彩丽,严东辉,于少帅,李永,汪来发,朴春根,郭民伟,淮稳霞,田国忠.寡核苷酸管芯片技术检测和鉴别我国不同组植原体[J].林业科学研究,2017,30(1):99-110.
作者姓名:王圣洁  林彩丽  严东辉  于少帅  李永  汪来发  朴春根  郭民伟  淮稳霞  田国忠
作者单位:中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091;中国林业科学研究院森林生态环境与保护研究所, 国家林业局森林保护学重点实验室, 北京 100091
基金项目:“十二五”农村领域国家高技术研究发展科技计划(863)课题(2012AA101501);林业微生物资源子平台运行与服务项目(NIMR2016-7)。
摘    要:目的]不同组植原体检测和鉴别的特异性探针已有报道,为了筛选出适合于我国不同组植原体检测和鉴别的特异性探针,建立管芯片检测和鉴别植原体技术,并对我国发生的疑似植原体病害进行鉴别。方法]通过PCR扩增结合管芯片杂交技术,对收集到的15种植原体侵染的植物样品及其健康对照进行检测和鉴别。结果]建立了管芯片检测和鉴别植原体技术体系。15种病害样品中,13种获得显著的阳性杂交信号,并且所有的健康对照都呈现为阴性。13种植原体病害依16Sr DNA直接测序可分为16SrⅠ、Ⅱ、Ⅴ、XIX四组植原体。在所有探针中,植原体的通用探针(Pp-502)可以检测到所有确定的植原体样品。16SrⅠ组特异性探针(PpⅠ-465)可以确定16SrⅠ组的泡桐丛枝、苦楝丛枝、桑树萎缩和莴苣黄化4种植原体样品。16Sr II组特异性探针(PpⅡ-629)仅可以确定16Sr II组的花生丛枝、甘薯丛枝和臭矢菜丛枝3种植原体样品。但16Sr V组的枣疯病、樱桃致死黄化和重阳木丛枝及16Sr XIX组的板栗黄化皱缩植原体与其他组专化性探针皆有明显的交叉杂交信号。相比于PCR扩增的凝胶电泳检测,管芯片检测的灵敏度提高了1 000倍。对疑似植原体病害的诊断结果显示河南濮阳的红花槐丛枝的病原应为16Sr V组植原体,福建福州的长春花黄化丛枝应为16SrⅠ组植原体;而北京戒台寺牡丹黄化皱叶和内蒙古包头柳树丛枝未出现任何植原体专化的杂交信号。结论]管芯片杂交技术作为一种检测和鉴别植原体的方法,可应用于我国植原体病害调查和诊断,并为植原体的鉴别和分类提供可靠的依据。

关 键 词:管芯片  植原体  病害鉴定与诊断  16Sr  DNA基因
收稿时间:2016/2/1 0:00:00

Diagnostics and Detection of Different Groups Phytoplasmas in China Using an Oligonucleotide Microarray on the Platform of ArrayTube
WANG Sheng-jie,LIN Cai-li,YAN Dong-hui,YU Shao-shuai,LI Yong,WANG Lai-f,PIAO Chun-gen,GUO Min-wei,HUAI Wen-xia and TIAN Guo-zhong.Diagnostics and Detection of Different Groups Phytoplasmas in China Using an Oligonucleotide Microarray on the Platform of ArrayTube[J].Forest Research,2017,30(1):99-110.
Authors:WANG Sheng-jie  LIN Cai-li  YAN Dong-hui  YU Shao-shuai  LI Yong  WANG Lai-f  PIAO Chun-gen  GUO Min-wei  HUAI Wen-xia and TIAN Guo-zhong
Institution:Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China;Key Laboratory of Forest Protection of State Forestry Administration, Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China
Abstract:Objective] d the optimal specific probe and develop the detection technique using oligonucleotide microarray on the platform of ArrayTube to detect and identify the phytoplasmas associated with plant disease in China.Method] PCR amplification and microarray hybridization were used to detect 15 symptomatic plants probably infected with phytoplasma and asymptomatic plants as healthy controls collected from different regions in China.Result] Phytoplasma 16S rDNA were detected in 13 of 15 symptomatic plants but not in all the healthy controls. Thirteen phytoplasmas were classified into 16Sr I, 16Sr II, 16Sr V and 16Sr XIX groups. Among 17 tested probes, the universal probe designated Pp-502 could be used to detect all phytoplasmas associated with plant disease. The specific probe designated Pp I-465 for 16Sr I group could be used to detect four phytoplasma strains of 16Sr I group associated with paulownia witches'' broom, chinaberry witches'' broom, mulberry dwarf and lettuce yellows. The probe Pp II-629 for 16Sr II could be used to detect three phytoplasma strains 16Sr II group associated with peanut witches'' broom, sweet potato witches'' broom and cleome witches'' broom. Three phytoplasma strains of 16Sr V associated with jujube witches'' broom, cherry lethal yellows and Bischofia polycarpa witches broom and chestnut yellows crinkle phytoplasma of 16Sr XIX could also be detected by specific probes, but they showed obvious cross hybridization with other group probes. Compared with PCR amplification, the sensitivity of microarray to detect phytoplasma in plant increased by 1000-fold. Phytoplasmas of 16SrI and 16SrV group respectively were detected in periwinkle with symptoms of phyllody and witches'' broom collected from Fujian province and Robinia hispida with symptom of witches'' broom collected from Henan province. While no phytoplasma was detected in peony with symptom of yellowing collected from Beijing and willow with symptom of witches'' broom collected from Inner Mongolia Autonomous Region.Conclusion] The oligonucleotide microarray on the platform of ArrayTube could be used as a method to investigate phytoplasmas in China, and could provide a sound basis for the phytoplasma identification and classification.
Keywords:Phytoplasma  detection and identification  16Sr DNA gene  ArrayTube
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