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银川番茄斑萎病毒的分子鉴定
引用本文:王晓敏,李洪磊,王林,周鹏泽,白圣懿,李国花,郑福顺,陶小荣,程国新,高艳明,李建设. 银川番茄斑萎病毒的分子鉴定[J]. 植物学报, 2021, 55(6): 715-721. DOI: 10.11983/CBB20091
作者姓名:王晓敏  李洪磊  王林  周鹏泽  白圣懿  李国花  郑福顺  陶小荣  程国新  高艳明  李建设
作者单位:1宁夏大学农学院, 银川 7500212宁夏现代设施园艺工程技术研究中心, 银川 7500213宁夏优势特色作物现代分子育种重点实验室, 银川 7500214宁夏设施园艺(宁夏大学)技术创新中心, 银川 7500215南京农业大学植物保护学院, 南京 210095
基金项目:宁夏回族自治区农业特色优势产业育种专项(NXNYYZ20200101);宁夏回族自治区重点研发计划(2021BBF02002);宁夏回族自治区重点研发计划(重大)重点项目(2019BBF02022)
摘    要:为明确银川番茄(Lycopersicon esculentum)是否遭受了番茄斑萎病毒(TSWV)的危害, 采用国家标准TSWV RT- PCR检测技术对银川番茄上采集的14份疑似感染TSWV病叶样本进行分子鉴定, 对克隆得到的核衣壳蛋白基因N (Nucleocapsid)序列进行多序列比对和系统进化树分析, 随后对PCR阳性样本进行蛋白检测。结果表明, 14份病叶样本中有8份扩增出长度为394 bp的TSWV N基因序列, 且8条序列完全一致; 获得的银川番茄TSWV分离物与云南番茄、中国莴苣(Lactuca sativa)、中国鸢尾(Iris tectorum)和重庆辣椒(Capsicum annuum) TSWV分离物相对近缘, 与山东、黑龙江和北京等地及国外TSWV分离物相对远缘; 利用TSWV的抗体通过Western blot对8个PCR阳性样本进一步检测, 结果也证实8个阳性样本中存在TSWV感染。该研究首次通过分子鉴定及蛋白检测证明银川番茄上存在TSWV感染, 需要加快抗TSWV番茄品种的选育工作。

关 键 词:银川  番茄斑萎病毒  RT-PCR  Western blot  
收稿时间:2020-05-20

An Overview of Genome-wide Association Studies in Plants
Yuhui Zhao,Xiuxiu Li,Zhuo Chen,Hongwei Lu,Yucheng Liu,Zhifang Zhang,Chengzhi Liang. An Overview of Genome-wide Association Studies in Plants[J]. Bulletin of Botany, 2021, 55(6): 715-721. DOI: 10.11983/CBB20091
Authors:Yuhui Zhao  Xiuxiu Li  Zhuo Chen  Hongwei Lu  Yucheng Liu  Zhifang Zhang  Chengzhi Liang
Affiliation:1.Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China;2.University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:Genome-wide association study (GWAS) is a general approach for unraveling genetic variations associated with complex traits in both animals and plants. The development of high-throughput genotyping has greatly boosted the development and application of GWAS. GWAS is not only used to identify genes/loci contributing to specific traits from diversenatural populations with high-resolution genome-wide markers, it also systematically reveals the genetic architecture underlying complex traits. During recent years, GWAS has successfully detected a large number of QTLs and candidate genes associated with various traits in plants including Arabidopsis, rice, wheat, soybean and maize. All these findings provided candidate genes controlling the traits and theoretical basis for breeding of high-yield and high-quality varieties. Here we review the methods, the factors affecting the power, and a data analysis pipeline of GWAS to provide reference for relevant research.
Keywords:mixed linear model  genome-wide association study (GWAS)  bioinformatics  
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