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保护地土壤生防木霉菌种群多样性研究
引用本文:贺字典,高增贵,高玉峰,张洋.保护地土壤生防木霉菌种群多样性研究[J].西南农业学报,2011,24(4).
作者姓名:贺字典  高增贵  高玉峰  张洋
作者单位:1. 河北科技师范学院生命科技学院,河北秦皇岛066004;沈阳农业大学植物免疫研究所,辽宁沈阳110161
2. 沈阳农业大学植物免疫研究所,辽宁沈阳,110161
3. 河北科技师范学院生命科技学院,河北秦皇岛,066004
基金项目:辽宁省科技攻关计划(2006215004); 辽宁省自然科学基金(20062018); 河北省科技支撑计划(07220304)
摘    要:采用传统的形态学特征和分子方法(ITS、TEF序列和UP-PCR)研究了蔬菜保护地土壤中木霉菌种群多样性及其影响因素.结果表明:提交genbank 11个木霉种的序列,分别为长枝木霉(Trichoderma longibrachiatum)、拟康氏木霉(Trichoderma pseudokoningii)、黄绿木霉(Trichoderma aureoviride)、棘孢木霉(Trichoderma asperellum)、深绿木霉(Trichoderma atroviride)、哈茨木霉(Trichoderma harzianum)、非钩木霉(Trichoderma inhamatum)、微孢木霉(Trichoderma minutisporum)、长孢木霉(Trichoderma longipile)和粘绿木霉(Trichoderma virens);木霉菌24个菌株经UP-PCR扩增,引物AS4、AS19、L45扩增出一条500 bp大小的木霉菌种的特征性谱带,其他谱带则为多态性谱带,多态性达93.5%;营养条件、杀菌剂及土壤因素对不同种木霉菌的影响不同,得到2株适应性较强的木霉菌株,有望成为生防菌株.

关 键 词:木霉菌  种群多样性  ITS和TEF  UP-PCR  影响因素

Study on Genetic Diversity of Biocontrol Trichoderma Population in Greenhouse Soils
HE Zi-dian,GAO Zeng-gui,GAO Yu-feng,ZHANG Yang.Study on Genetic Diversity of Biocontrol Trichoderma Population in Greenhouse Soils[J].Southwest China Journal of Agricultural Sciences,2011,24(4).
Authors:HE Zi-dian  GAO Zeng-gui  GAO Yu-feng  ZHANG Yang
Institution:HE Zi-dian1,2,GAO Zeng-gui2,GAO Yu-feng1,ZHANG Yang1(1.College of Life and Technology,Hebei Normal University of Science&Technology,Hebei Qinhuangdao 066004,China,2.Institute of Plant Immunology,Shenyang Agricultural University,Liaoling Shenyang 110161,China)
Abstract:11 Trichoderma species were submitted to genbank by ITS,TEF sequences analysis methods and effect factors of population diversity were studied in this paper,which included T.longibrachiatum,T.atroviride,T.harzianum,T.viren,T.minutisporum,T.pseudokoningii,T.aureoviride,T.inhamatum,T.asperellum,T.longipile and T.helicum.At the same time,genetic diversity of Trichoderma isolates were analyzed by Universally Primed PCR.A feature band,500 bp,was the common one in 11 Trichoderma species,other bands were polymorph...
Keywords:Trichoderma  Population diversity  ITS and TEF  UP-PCR  Effect factors  
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