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甘蔗赤腐病病原菌的分离与ITS序列鉴定
引用本文:谢林艳,狄义宁,刘鲁峰,吴清莲,沈先岳,徐荣,孟玉,何丽莲,李富生.甘蔗赤腐病病原菌的分离与ITS序列鉴定[J].作物杂志,2019,35(5):196-23.
作者姓名:谢林艳  狄义宁  刘鲁峰  吴清莲  沈先岳  徐荣  孟玉  何丽莲  李富生
作者单位:1 云南农业大学农学与生物技术学院,650201,云南昆明2 云南农业大学甘蔗研究所,650201云南昆明
基金项目:福建农林大学国家甘蔗工程技术研究中心开放课题(NERO2018.6.1);云南省现代农业甘蔗产业技术体系建设专项(2018-2019)
摘    要:从甘蔗赤腐病病原菌分离纯化得到5株病原真菌(CF-1、CF-2、CF-3、CF-4、CF-5),对其进行致病性测定、形态学观察和ITS序列分析。结果表明,CF-1和CF-4均能引起与田间病害一致的症状,通过ITS1和ITS4对致病菌的基因片段进行扩增,结果显示,菌株CF-1与KU933924.1相似性达到99.00%,CF-4与MH854879.1相似性达到99.42%。综合病害症状观察、形态观察和ITS序列分析结果,将甘蔗赤腐病病原菌CF-1鉴定为镰形炭疽菌(Colletotrichum falcatum Went.),将CF-4鉴定为球黑孢菌Nigrospora sphaerica (Sacc.) E.W. Mason.]。

关 键 词:甘蔗  赤腐病  病原菌  分离  鉴定  
收稿时间:2019-01-09

Isolation and ITS Sequence Identification of the Pathogen Causing Red Rot Disease on Sugarcane
Xie Linyan,Di Yining,Liu Lufeng,Wu Qinglian,Shen Xianyue,Xu Rong,Meng Yu,He Lilian,Li Fusheng.Isolation and ITS Sequence Identification of the Pathogen Causing Red Rot Disease on Sugarcane[J].Crops,2019,35(5):196-23.
Authors:Xie Linyan  Di Yining  Liu Lufeng  Wu Qinglian  Shen Xianyue  Xu Rong  Meng Yu  He Lilian  Li Fusheng
Institution:1 College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming 650201, Yunnan, China2 Sugarcane Research Institute of Yunnan Agricultural University, Kunming 650201, Yunnan, China
Abstract:Five strains (CF-1, CF-2, CF-3, CF-4, CF-5) of pathogenic fungi were isolated and pathogen by the typical symptomatic tissues of sugarcane red rot with which single spore isolates, morphological observation, pathogenicity test, and ITS molecular sequence analysis were used to identify the pathogen. The results showed that both CF-1 and CF-4 could cause symptoms consistent with those observed in the fields. The amplification of the gene fragments of pathogenic bacteria by ITS1 and ITS4 showed that CF-1 showed 99.00% of identity with KU933924.1 and the strain CF-4 showed 99.42% of identity with MH854879.1. CF-1 was identified as Colletotrichum falcatum Went. and CF-4 as Nigrospora sphaerica (Sacc.) E.W. Mason. by culture. shape, morphological observation and ITS sequence analysis.
Keywords:Sugarcane  Red rot  Pathogen  Isolation  Identification  
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