食品科学 ›› 2012, Vol. 33 ›› Issue (16): 246-250.

• 分析检测 • 上一篇    下一篇

五株桃、李果实采后褐腐病菌鉴定、ITS rDNA序列与碳源代谢指纹图谱分析

王友升,张 燕,陈玉娟   

  1. 北京工商大学食品学院,食品添加剂与配料北京高校工程研究中心,北京市食品风味化学重点实验室
  • 收稿日期:2012-04-12 修回日期:2012-07-10 出版日期:2012-08-25 发布日期:2012-09-07
  • 通讯作者: 王友升 E-mail:wangys@th.btbu.edu.cn
  • 基金资助:

    国家自然科学基金青年基金项目

Identification, rDNA ITS Analysis and Carbon Metabolic Fingerprinting of Five Monilinia fructicola Strains Isolated from Postharvest Peach and Plum Fruits

  • Received:2012-04-12 Revised:2012-07-10 Online:2012-08-25 Published:2012-09-07

摘要: 从采后贮藏过程中发病的桃、李果实中分离到5株丝状病原真菌。对其进行形态学特征观察以及核糖体rDNA ITS序列分析和95种碳源代谢指纹图谱分析。结果表明:5株病原真菌均为果生链核盘菌(Monilinia fructicola),其中091#和089#菌与Monilinia fructicola(FJ515894)的亲缘关系较近。5株褐腐病菌对D-果糖、麦芽糖、蔗糖等共56种碳源的代谢能力相同,包括51种最适碳源和5种不可利用碳源,其中Monilinia fructicola 091#与089#的代谢指纹图谱最接近,而Monilinia fructicola 086#、071#、072#的代谢指纹图谱最接近。因此利用rDNA ITS序列和碳源代谢指纹图谱均可区分桃、李果实5株褐腐病菌不同菌株之间的差异,且两种方法具有可比性。

关键词: 桃果实, 李果实, 褐腐病菌, rDNA ITS序列分析, 碳源代谢指纹图谱

Abstract: In the present study, four pathogenic strains named as 091, 089, 086 and 071, respectively were isolated from infected black amber plum, and one pathogenic strain named as 072 from infected Bayuecui peach during postharvest storage. Morphological observation and rDNA ITS analysis indicated that all five pathogenic strains were Monilinia fructicola. The result obtained also revealed that strains 091 and 089 had a close phylogenetic relationship with Monilinia fructicola (FJ515894). Metabolic fingerprinting suggested that these five strains had the same ability to metabolize 56 carbon sources including 51 optimal ones and 5 unutilized ones. Monilinia fructicola 091 and 089 shared the most similar metabolic fingerprints, whereas Monilinia fructicola 086, 071 and 072 were the most similar. These studies demonstrated that both rDNA ITS analysis and carbon metabolic fingerprinting allows distinguishing among the Monilinia fructicola strains isolated and may be considered as being comparable.

Key words: peach fruit, plum fruit, Monilinia fructicola, rDNA ITS sequence analysis, carbon metabolic fingerprinting

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