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Molecular Soybean-Pathogen Interactions.
Whitham, Steven A; Qi, Mingsheng; Innes, Roger W; Ma, Wenbo; Lopes-Caitar, Valéria; Hewezi, Tarek.
Afiliação
  • Whitham SA; Department of Plant Pathology and Microbiology, Iowa State University, Ames, Iowa 50011; email: swhitham@iastate.edu , msqi@iastate.edu.
  • Qi M; Department of Plant Pathology and Microbiology, Iowa State University, Ames, Iowa 50011; email: swhitham@iastate.edu , msqi@iastate.edu.
  • Innes RW; Department of Biology, Indiana University, Bloomington, Indiana 47405; email: rinnes@indiana.edu.
  • Ma W; Department of Plant Pathology and Microbiology, University of California, Riverside, California 92521; email: wenbo.ma@ucr.edu.
  • Lopes-Caitar V; Department of Plant Sciences, University of Tennessee, Knoxville, Tennessee 37996; email: vcaitar@utk.edu , thewezi@utk.edu.
  • Hewezi T; Department of Plant Sciences, University of Tennessee, Knoxville, Tennessee 37996; email: vcaitar@utk.edu , thewezi@utk.edu.
Annu Rev Phytopathol ; 54: 443-68, 2016 08 04.
Article em En | MEDLINE | ID: mdl-27359370
ABSTRACT
Soybean hosts a wide variety of pathogens that cause significant yield losses. The importance of soybean as a major oilseed crop has led to research focused on its interactions with pathogens, such as Soybean mosaic virus, Pseudomonas syringae, Phytophthora sojae, Phakopsora pachyrhizi, and Heterodera glycines. Pioneering work on soybean's interactions with these organisms, which represent the five major pathogen groups (viruses, bacteria, oomycetes, fungi, and nematodes), has contributed to our understanding of the molecular mechanisms underlying virulence and immunity. These mechanisms involve conserved and unique features that validate the need for research in both soybean and homologous model systems. In this review, we discuss identification of effectors and their functions as well as resistance gene-mediated recognition and signaling. We also point out areas in which model systems and recent advances in resources and tools have provided opportunities to gain deeper insights into soybean-pathogen interactions.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Glycine max / Interações Hospedeiro-Patógeno Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Doenças das Plantas / Glycine max / Interações Hospedeiro-Patógeno Idioma: En Ano de publicação: 2016 Tipo de documento: Article