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Proteomics of plant-fungal pathogen interaction: an overview

식물과 곰팡이 병원균과의 상호작용에 대한 프로테오믹스 최근 연구 동향

  • Kim, Jin Yeong (Dept. Plant Bioscience, Pusan National University) ;
  • Lee, So Eui (Dept. Plant Bioscience, Pusan National University) ;
  • Oh, Ha Ram (Dept. Plant Bioscience, Pusan National University) ;
  • Choi, In Soo (Dept. Plant Bioscience, Pusan National University) ;
  • Kim, Yong Chul (Dept. Plant Bioscience, Pusan National University) ;
  • Kim, Sun Tae (Dept. Plant Bioscience, Pusan National University)
  • 김진영 (부산대학교 생명자원과학대학 식물생명과학과) ;
  • 이소의 (부산대학교 생명자원과학대학 식물생명과학과) ;
  • 오하람 (부산대학교 생명자원과학대학 식물생명과학과) ;
  • 최인수 (부산대학교 생명자원과학대학 식물생명과학과) ;
  • 김용철 (부산대학교 생명자원과학대학 식물생명과학과) ;
  • 김선태 (부산대학교 생명자원과학대학 식물생명과학과)
  • Received : 2014.02.14
  • Accepted : 2014.03.26
  • Published : 2014.03.31

Abstract

So far it has been generally considered that proteomic approaches are very useful for studying plant-microbes interaction. In this review, recent studies based on papers published from 2010 to 2013 have investigated proteomics analysis in various interaction during plant-fungal pathogen infection by means of gel-based proteomics coupled with mass spectrometry (MS)-based analysis. In rice, three papers focused on rice-Magnaporthe oryzae interaction were mainly reviewed in this study. Interestingly, another study showed proteomic changes in rice inoculated with Puccinia triticina, which is not only an fungal pathogen in wheat and but also results to the disease resistance with non-host defense manner in rice. Additionally, proteomics analysis has been widely subjected to understand defense mechanism during other crops (wheat, tomato, strawberry and mint) and their fungal pathogen interaction. Crops inoculated are analyzed to identify differentially regulated proteins at various tissues such as leaf and apoplast using 2-DE analysis coupled with various MS approaches such as MALDI-TOF MS, nESI-LC-MS/MS and MudPIT, respectively. Taken together, this review article shows that proteomics is applicable to various organisms to understand plant-fungal pathogen interaction and will contribute to provide important information for crop disease diagnosis and crop protection.

Keywords

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