A comparative proteomic analysis of the early response to compatible symbiotic bacteria in the roots of a supernodulating soybean variety

Salavati, Afshin; Bushehri, Ali Akbar Shahnejat; Taleei, Alireza; Hiraga, Susumu; Komatsu, Setsuko

doi:10.1016/j.jprot.2011.09.022

Cited by 19 publications

(17 citation statements)

References 58 publications

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“…Highest up-regulated protein involved in the degradation of damaged proteins was observed under high Mn stress. Salavati et al [43] showed that bacterial inoculation could increase the expression of metabolism-and energy production-related proteins in the supernodulating soybean variety (Eb-b0-1). These results suggested that inoculation with strain 1Y31 could relieve the damage of cells caused by Mn stress so as to increase the biomass of the plants.…”

Section: Discussionmentioning

confidence: 99%

Inoculation with endophytic Bacillus megaterium 1Y31 increases Mn accumulation and induces the growth and energy metabolism-related differentially-expressed proteome in Mn hyperaccumulator hybrid pennisetum

Zhang

Wang

et al. 2015

Journal of Hazardous Materials

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Section: Discussionmentioning

confidence: 99%

Inoculation with endophytic Bacillus megaterium 1Y31 increases Mn accumulation and induces the growth and energy metabolism-related differentially-expressed proteome in Mn hyperaccumulator hybrid pennisetum

Zhang

Wang

et al. 2015

Journal of Hazardous Materials

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“…While MALDI has unique applications such as tissue imaging, compatibility with online LC separation has made ESI the method of choice for integrating large-scale shotgun proteomics into a systems biology approach. Very recently, Salavati et al (2011) combined nano-LC-MS/MS with transcriptomic analysis to investigate the initiation of symbiosis between soybean and Bradyrhizobium japonicum by comparing super-nodulating and non-nodulating varieties to wild-type plants. The results support the hypothesis that defense and signal transduction-related processes are negatively regulated in super-nodulating lines, correlating with a suppression of the auto-regulation of nodulation (AON) mechanism.…”

Section: Protein Identification Using Mass Spectrometrymentioning

confidence: 99%

Leveraging Proteomics to Understand Plant–Microbe Interactions

Jayaraman¹,

Forshey²,

Grimsrud³

et al. 2012

Front. Plant Sci.

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Understanding the interactions of plants with beneficial and pathogenic microbes is a promising avenue to improve crop productivity and agriculture sustainability. Proteomic techniques provide a unique angle to describe these intricate interactions and test hypotheses. The various approaches for proteomic analysis generally include protein/peptide separation and identification, but can also provide quantification and the characterization of post-translational modifications. In this review, we discuss how these techniques have been applied to the study of plant–microbe interactions. We also present some areas where this field of study would benefit from the utilization of newly developed methods that overcome previous limitations. Finally, we reinforce the need for expanding, integrating, and curating protein databases, as well as the benefits of combining protein-level datasets with those from genetic analyses and other high-throughput large-scale approaches for a systems-level view of plant–microbe interactions.

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“…A time-course proteomic analysis of wild type and the soybean mutant SS2-2 , which lacks autoregulation of nodulation, has revealed that there is a protein-mediated suppression of defense-related responses in root cells upon inoculation with Rhizobium bacteria (Lim et al, 2010). A similar observation was done when comparing the proteomic changes associated to inoculation of soybean plants with differential nodulation capacities (Salavati et al, 2012). In this work, a correlation between the levels of a peroxidase isoform and levels of nodulation was found, although the regulation did not occur at the transcript level.…”

Section: Proteomics Applied To the Study Of The Legume-rhizobium Symbmentioning

confidence: 59%

A Proteomic View on the Role of Legume Symbiotic Interactions

Larrainzar

Wienkoop

2017

Front. Plant Sci.

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Legume plants are key elements in sustainable agriculture and represent a significant source of plant-based protein for humans and animal feed worldwide. One specific feature of the family is the ability to establish nitrogen-fixing symbiosis with Rhizobium bacteria. Additionally, like most vascular flowering plants, legumes are able to form a mutualistic endosymbiosis with arbuscular mycorrhizal (AM) fungi. These beneficial associations can enhance the plant resistance to biotic and abiotic stresses. Understanding how symbiotic interactions influence and increase plant stress tolerance are relevant questions toward maintaining crop yield and food safety in the scope of climate change. Proteomics offers numerous tools for the identification of proteins involved in such responses, allowing the study of sub-cellular localization and turnover regulation, as well as the discovery of post-translational modifications (PTMs). The current work reviews the progress made during the last decades in the field of proteomics applied to the study of the legume-Rhizobium and -AM symbioses, and highlights their influence on the plant responses to pathogens and abiotic stresses. We further discuss future perspectives and new experimental approaches that are likely to have a significant impact on the field including peptidomics, mass spectrometric imaging, and quantitative proteomics.

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A comparative proteomic analysis of the early response to compatible symbiotic bacteria in the roots of a supernodulating soybean variety

Cited by 19 publications

References 58 publications

Inoculation with endophytic Bacillus megaterium 1Y31 increases Mn accumulation and induces the growth and energy metabolism-related differentially-expressed proteome in Mn hyperaccumulator hybrid pennisetum

Inoculation with endophytic Bacillus megaterium 1Y31 increases Mn accumulation and induces the growth and energy metabolism-related differentially-expressed proteome in Mn hyperaccumulator hybrid pennisetum

Leveraging Proteomics to Understand Plant–Microbe Interactions

A Proteomic View on the Role of Legume Symbiotic Interactions

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