Literature DB >> 21920908

Proteomic analysis by two-dimensional differential in gel electrophoresis (2D DIGE) of the early response of Pisum sativum to Orobanche crenata.

Ma Ángeles Castillejo1, Mónica Fernández-Aparicio, Diego Rubiales.   

Abstract

Crenate broomrape (Orobanche crenata) is considered to be the major constraint for legume crops in Mediterranean countries. Strategies of control have been developed, but only marginal successes have been achieved. For the efficient control of the parasite, a better understanding of its interaction and associated resistance mechanisms at the molecular level is required. The pea response to this parasitic plant and the molecular basis of the resistance was studied using a proteomic approach based on 2D DIGE and MALDI-MSMS analysis. For this purpose, two genotypes showing different levels of resistance to O. crenata, as well as three time points (21, 25, and 30 d after inoculation) have been compared. Multivariate statistical analysis identified 43 differential protein spots under the experimental conditions (genotypes/treatments), 22 of which were identified using a combination of peptide mass fingerprinting (PMF) and MSMS fragmentation. Most of the proteins identified were metabolic and stress-related proteins and a high percentage of them (86%) matched with specific proteins of legume species. The behaviour pattern of the identified proteins suggests the existence of defence mechanisms operating during the early stages of infection that differed in both genotypes. Among these, several proteins were identified with protease activity which could play an important role in preventing the penetration and connection to the vascular system of the parasite. Our data are discussed and compared with those previously obtained in pea and Medicago truncatula.

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Year:  2011        PMID: 21920908     DOI: 10.1093/jxb/err246

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  7 in total

Review 1.  Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.).

Authors:  Arun K Pandey; Diego Rubiales; Yonggang Wang; Pingping Fang; Ting Sun; Na Liu; Pei Xu
Journal:  Theor Appl Genet       Date:  2021-01-12       Impact factor: 5.699

2.  Transcriptomic and proteomic analyses of resistant host responses in Arachis diogoi challenged with late leaf spot pathogen, Phaeoisariopsis personata.

Authors:  Dilip Kumar; Pulugurtha Bharadwaja Kirti
Journal:  PLoS One       Date:  2015-02-03       Impact factor: 3.240

3.  Transcriptomic and proteomic approach to identify differentially expressed genes and proteins in Arabidopsis thaliana mutants lacking chloroplastic 1 and cytosolic FBPases reveals several levels of metabolic regulation.

Authors:  Mauricio Soto-Suárez; Antonio J Serrato; José A Rojas-González; Rocío Bautista; Mariam Sahrawy
Journal:  BMC Plant Biol       Date:  2016-12-01       Impact factor: 4.215

Review 4.  Pea Breeding for Resistance to Rhizospheric Pathogens.

Authors:  Osman Z Wohor; Nicolas Rispail; Chris O Ojiewo; Diego Rubiales
Journal:  Plants (Basel)       Date:  2022-10-10

Review 5.  Pre-fractionation strategies to resolve pea (Pisum sativum) sub-proteomes.

Authors:  Claudia-Nicole Meisrimler; Ljiljana Menckhoff; Biljana M Kukavica; Sabine Lüthje
Journal:  Front Plant Sci       Date:  2015-10-19       Impact factor: 5.753

Review 6.  Proteomics and Metabolomics: Two Emerging Areas for Legume Improvement.

Authors:  Abirami Ramalingam; Himabindu Kudapa; Lekha T Pazhamala; Wolfram Weckwerth; Rajeev K Varshney
Journal:  Front Plant Sci       Date:  2015-12-24       Impact factor: 5.753

7.  Two-dimensional gel electrophoresis (2D-GE) image analysis based on CellProfiler: Pseudomonas aeruginosa AG1 as model.

Authors:  Jose Arturo Molina-Mora; Diana Chinchilla-Montero; Carolina Castro-Peña; Fernando García
Journal:  Medicine (Baltimore)       Date:  2020-12-04       Impact factor: 1.817

  7 in total

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