北京平谷区桃细菌性穿孔病病原菌鉴定及其拮抗菌筛选
Identification of Pathogen Causing Bacterial Shot Hole of Peaches in Pinggu District of Beijing and Screening of Its Antagonistic Microorganisms
孙前军 1杨丽丹 2王睿琦 2杨海清 3卢彩鸽 2刘建斌 2杨俊刚 2梁子安 4王甲辰 2张殿朋2
作者信息
- 1. 南阳师范学院,南阳 473061;北京市农林科学院,北京 100097
- 2. 北京市农林科学院,北京 100097
- 3. 北京市平谷区果品办公室,北京 101200
- 4. 南阳师范学院,南阳 473061
- 折叠
摘要
为筛选对平谷区桃穿孔病有抑制作用的菌株,对桃穿孔病病原菌进行 DNA 测序鉴定后筛选拮抗菌.应用组织分离法从平谷区发病桃果实分离桃穿孔病原菌并进行致病性测定,根据菌株形态特征和 16S rDNA序列相似率分析,初步确定病原菌为树生黄单胞菌桃李致病变种Xanthomomonas arboricola pv.pruni.采用平板对峙法筛选出病原菌的拮抗菌 5株,其中菌株xj39抑菌效果最为显著,抑菌圈直径达到 54.7 mm,菌株xj12 次之,抑菌圈直径 50.8 mm;经 16S rDNA序列和rpoB基因序列比对及相似率分析,确定拮抗菌株xj39 为大孢子链霉菌Streptomyces fimbriatus,菌株xj12 为生二素链霉菌Streptomyces ambofaciens.田间防验结果表明,拮抗菌xj39 发酵液对桃细菌性穿孔病防治效果为 33%,与化学药剂春雷霉素处理无显著差异.
Abstract
To obtain strains that inhibit bacterial perforation of peach in Pinggu District,we screened antagonistic bacteria after identifying the pathogen through DNA sequencing.The peach perforating pathogen was isolated from morbid peach fruits in Pinggu District using a tissue isolation method and pathogenicity was determined.Based on morphological characteristics and 16S rDNA sequence similarity analysis,the pathogen was preliminarily identified as Xanthomonas arboricola pv.pruni.Five bacterial strains had antagonistic activity using the plate standoff method.Among them,strain xj39 exhibited the most significant inhibitory effect,with a diameter of the inhibition zone reaching 54.7 mm.The second was strain xj12,with a diameter of the inhibition zone of 50.8 mm.16S rDNA and rpoB gene sequences analysis indicated that strain xj39 was Streptomyces fimbriatus and strain xj12 was Streptomyces ambofaciens.Field prevention test showed that the fermentation solution of xj39 had the control efficacy of 33%against peach bacterial perforation disease,which was not significantly different from that of the chemical kasugamycin treatment.
关键词
桃穿孔病/病原菌/黄单胞菌/拮抗菌/菌株鉴定Key words
peach bacterial perforation/pathogen/Xanthomonas sp./antagonistic microorganism/strain identification引用本文复制引用
基金项目
北京市农林科学院科技创新能力建设专项(KJCX20230207)
国家重点研发计划(2022YFE0199500)
出版年
2024
国家科技期刊平台
NSTL
万方数据