期刊
JOURNAL OF PROTEOME RESEARCH
卷 11, 期 2, 页码 736-750出版社
AMER CHEMICAL SOC
DOI: 10.1021/pr200646a
关键词
Solanum lycopersicum (tomato); Clavibacter michiganensis subsp michiganensis (Cmm); proteomics; multidimensional protein identification technology (MudPIT); mass spectrometry; secretion; annotation; comparative analysis; interactome; NSAF
资金
- European Union [239415, FP7/2007-2013]
- Israeli Ministry of Absorption
- German Research Foundation
- Palestinian Authority
- U.S.-Israel Binational Agricultural Research and Development Fund [IS-4047-07]
- [EI 535/12-1]
The Gram-positive bacterium Clavibacter michiganensis subsp. michiganensis (Cmm) causes wilt and canker disease of tomato (Solanum lycopersicum). Mechanisms of Cmm pathogenicity and tomato response to Cmm infection are not well understood. To explore the interaction between Cmm and tomato, multidimensional protein identification technology (MudPIT) and tandem mass spectrometry were used to analyze in vitro and in planta generated samples. The results show that during infection Cmm senses the plant environment, transmits signals, induces, and then secretes multiple hydrolytic enzymes, including serine proteases of the Pat-1, Ppa, and Sbt familes, the CelA, XysA, and NagA glycosyl hydrolases, and other cell wall-degrading enzymes. Tomato induction of pathogenesis-related (PR) proteins, LOX1, and other defense-related proteins during infection indicates that the plant senses the invading bacterium and mounts a basal defense response, although partial with some suppressed components including class III peroxidases and a secreted serine peptidase. The tomato ethylene-synthesizing enzyme ACC-oxidase was induced during infection with the wild-type Cmm but not during infection with an endophytic Cmm strain, identifying Cmm-triggered host synthesis of ethylene as an important factor in disease symptom development. The proteomic data were also used to improve Cmm genome annotation, and thousands of Cmm gene models were confirmed or expanded.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据