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番石榴黄单胞菌的遗传多样性及基于 PCR 的检测方法。

Genetic diversity and a PCR-based method for Xanthomonas axonopodis detection in passion fruit.

机构信息

Universidade de São Paulo, Escola Superior de Agricultura Luiz de Queiroz, Departamento de Genética, P.O. Box 83, 13400-970 Piracicaba, Brazil.

出版信息

Phytopathology. 2011 Apr;101(4):416-24. doi: 10.1094/PHYTO-06-10-0169.

Abstract

Xanthomonas axonopodis pv. passiflorae causes bacterial spot in passion fruit. It attacks the purple and yellow passion fruit as well as the sweet passion fruit. The diversity of 87 isolates of pv. passiflorae collected from across 22 fruit orchards in Brazil was evaluated using molecular profiles and statistical procedures, including an unweighted pair-group method with arithmetical averages-based dendrogram, analysis of molecular variance (AMOVA), and an assigning test that provides information on genetic structure at the population level. Isolates from another eight pathovars were included in the molecular analyses and all were shown to have a distinct repetitive sequence-based polymerase chain reaction profile. Amplified fragment length polymorphism technique revealed considerable diversity among isolates of pv. passiflorae, and AMOVA showed that most of the variance (49.4%) was due to differences between localities. Cluster analysis revealed that most genotypic clusters were homogeneous and that variance was associated primarily with geographic origin. The disease adversely affects fruit production and may kill infected plants. A method for rapid diagnosis of the pathogen, even before the disease symptoms become evident, has value for producers. Here, a set of primers (Xapas) was designed by exploiting a single-nucleotide polymorphism between the sequences of the intergenic 16S-23S rRNA spacer region of the pathovars. Xapas was shown to effectively detect all pv. passiflorae isolates and is recommended for disease diagnosis in passion fruit orchards.

摘要

黄单胞菌百香果致病变种会引起百香果的细菌性斑点病。它会攻击紫色和黄色百香果以及甜百香果。通过分子特征和统计程序,包括基于未加权对群算术平均法的聚类图、分子方差分析(AMOVA)和提供种群水平遗传结构信息的赋值检验,对从巴西 22 个果园收集的 87 个百香果致病变种分离株进行了评估。将另外 8 个致病变种的分离株纳入分子分析,结果表明它们都具有独特的基于重复序列的聚合酶链反应图谱。扩增片段长度多态性技术揭示了百香果致病变种之间存在相当大的多样性,AMOVA 表明,大部分变异(49.4%)是由于地理位置的差异造成的。聚类分析表明,大多数基因型聚类是同质的,变异主要与地理起源有关。该疾病会对果实产量产生不利影响,甚至可能导致受感染的植物死亡。即使在疾病症状明显之前,也需要一种快速诊断病原体的方法,这对生产者来说很有价值。在这里,利用致病变种的 16S-23S rRNA 间隔区基因间序列的单核苷酸多态性,设计了一组引物(Xapas)。结果表明,Xapas 可以有效地检测到所有的百香果致病变种分离株,建议在百香果果园中用于疾病诊断。

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