Your browser doesn't support javascript.
loading
Rice proteomics: a model system for crop improvement and food security.
Kim, Sun Tae; Kim, Sang Gon; Agrawal, Ganesh Kumar; Kikuchi, Shoshi; Rakwal, Randeep.
Afiliação
  • Kim ST; Department of Plant Bioscience, Pusan National University, Miryang, South Korea.
Proteomics ; 14(4-5): 593-610, 2014 Mar.
Article em En | MEDLINE | ID: mdl-24323464
ABSTRACT
Rice proteomics has progressed at a tremendous pace since the year 2000, and that has resulted in establishing and understanding the proteomes of tissues, organs, and organelles under both normal and abnormal (adverse) environmental conditions. Established proteomes have also helped in re-annotating the rice genome and revealing the new role of previously known proteins. The progress of rice proteomics had recognized it as the corner/stepping stone for at least cereal crops. Rice proteomics remains a model system for crops as per its exemplary proteomics research. Proteomics-based discoveries in rice are likely to be translated in improving crop plants and vice versa against ever-changing environmental factors. This review comprehensively covers rice proteomics studies from August 2010 to July 2013, with major focus on rice responses to diverse abiotic (drought, salt, oxidative, temperature, nutrient, hormone, metal ions, UV radiation, and ozone) as well as various biotic stresses, especially rice-pathogen interactions. The differentially regulated proteins in response to various abiotic stresses in different tissues have also been summarized, indicating key metabolic and regulatory pathways. We envision a significant role of rice proteomics in addressing the global ground level problem of food security, to meet the demands of the human population which is expected to reach six to nine billion by 2040.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Plantas / Oryza / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteínas de Plantas / Oryza / Proteômica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2014 Tipo de documento: Article