Literature DB >> 19152841

Comparative proteomic studies of root-microbe interactions.

Ulrike Mathesius1.   

Abstract

The growth and performance of roots are significantly influenced by microbes colonizing the rhizosphere, including bacteria, fungi and nematodes. These root-microbe interactions can be beneficial, neutral or detrimental to the plant host. To improve plant growth, the use of specific soil microbes could be an affordable and sustainable strategy. A growing number of proteomic studies are focusing on determining the effects that microbes have on roots, in order to identify genes and proteins that are specifically induced by microbes. Studies have particularly focused on two mutualistic symbioses of roots, those of legumes with nitrogen-fixing rhizobia and those of a large range of plants with mycorrhizal fungi. In addition, the pathogenic relationships between roots and endoparasitic nematodes, fungi and oomycetes have been studied to unravel the molecular communication between roots and pathogenic microbes. These studies have led to new insights into the detection of microbial signal molecules by plants, the balancing of defense responses, nutrient exchange and the alteration of plant development by microbes. This review highlights some of the recent advances gained by proteomic studies focusing on symbiotic and pathogenic root-microbe interactions.

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Year:  2008        PMID: 19152841     DOI: 10.1016/j.jprot.2008.12.006

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  13 in total

1.  Comparative proteomics and physiological characterization of Arabidopsis thaliana seedlings in responses to Ochratoxin A.

Authors:  Yan Wang; Junran Hao; Weiwei Zhao; Zhuojun Yang; Weihong Wu; Yu Zhang; Wentao Xu; YunBo Luo; Kunlun Huang
Journal:  Plant Mol Biol       Date:  2013-04-27       Impact factor: 4.076

Review 2.  Proteomics of plant pathogenic fungi.

Authors:  Raquel González-Fernández; Elena Prats; Jesús V Jorrín-Novo
Journal:  J Biomed Biotechnol       Date:  2010-05-27

Review 3.  Unraveling plant responses to bacterial pathogens through proteomics.

Authors:  Tamara Zimaro; Natalia Gottig; Betiana S Garavaglia; Chris Gehring; Jorgelina Ottado
Journal:  J Biomed Biotechnol       Date:  2011-11-03

4.  Leveraging proteomics to understand plant-microbe interactions.

Authors:  Dhileepkumar Jayaraman; Kari L Forshey; Paul A Grimsrud; Jean-Michel Ané
Journal:  Front Plant Sci       Date:  2012-03-08       Impact factor: 5.753

5.  Screening and identification of resistance related proteins from apple leaves inoculated with Marssonina coronaria (EII. & J. J. Davis).

Authors:  Miaomiao Li; Jianhua Xu; Zonghao Qiu; Juan Zhang; Fengwang Ma; Junke Zhang
Journal:  Proteome Sci       Date:  2014-02-07       Impact factor: 2.480

Review 6.  Advances in plant proteomics toward improvement of crop productivity and stress resistancex.

Authors:  Junjie Hu; Christof Rampitsch; Natalia V Bykova
Journal:  Front Plant Sci       Date:  2015-04-14       Impact factor: 5.753

Review 7.  Understanding and engineering beneficial plant-microbe interactions: plant growth promotion in energy crops.

Authors:  Kerrie Farrar; David Bryant; Naomi Cope-Selby
Journal:  Plant Biotechnol J       Date:  2014-12       Impact factor: 9.803

Review 8.  Plant Microbe Interactions in Post Genomic Era: Perspectives and Applications.

Authors:  Jahangir Imam; Puneet K Singh; Pratyoosh Shukla
Journal:  Front Microbiol       Date:  2016-09-26       Impact factor: 5.640

9.  Proteomic insights into intra- and intercellular plant-bacteria symbiotic association during root nodule formation.

Authors:  Afshin Salavati; Alireza Shafeinia; Katarina Klubicova; Ali A S Bushehri; Setsuko Komatsu
Journal:  Front Plant Sci       Date:  2013-02-25       Impact factor: 5.753

Review 10.  Uncovering plant-pathogen crosstalk through apoplastic proteomic studies.

Authors:  Bertrand Delaunois; Philippe Jeandet; Christophe Clément; Fabienne Baillieul; Stéphan Dorey; Sylvain Cordelier
Journal:  Front Plant Sci       Date:  2014-06-03       Impact factor: 5.753

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