8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Proteome Map of Pea ( Pisum sativum L.) Embryos Containing Different Amounts of Residual Chlorophylls

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Due to low culturing costs and high seed protein contents, legumes represent the main global source of food protein. Pea ( Pisum sativum L.) is one of the major legume crops, impacting both animal feed and human nutrition. Therefore, the quality of pea seeds needs to be ensured in the context of sustainable crop production and nutritional efficiency. Apparently, changes in seed protein patterns might directly affect both of these aspects. Thus, here, we address the pea seed proteome in detail and provide, to the best of our knowledge, the most comprehensive annotation of the functions and intracellular localization of pea seed proteins. To address possible intercultivar differences, we compared seed proteomes of yellow- and green-seeded pea cultivars in a comprehensive case study. The analysis revealed totally 1938 and 1989 nonredundant proteins, respectively. Only 35 and 44 proteins, respectively, could be additionally identified after protamine sulfate precipitation (PSP), potentially indicating the high efficiency of our experimental workflow. Totally 981 protein groups were assigned to 34 functional classes, which were to a large extent differentially represented in yellow and green seeds. Closer analysis of these differences by processing of the data in KEGG and String databases revealed their possible relation to a higher metabolic status and reduced longevity of green seeds.

          Related collections

          Most cited references66

          • Record: found
          • Abstract: found
          • Article: not found

          A guide to using MapMan to visualize and compare Omics data in plants: a case study in the crop species, Maize.

          MapMan is a software tool that supports the visualization of profiling data sets in the context of existing knowledge. Scavenger modules generate hierarchical and essentially non-redundant gene ontologies ('mapping files'). An ImageAnnotator module visualizes the data on a gene-by-gene basis on schematic diagrams ('maps') of biological processes. The PageMan module uses the same ontologies to statistically evaluate responses at the pathway or processes level. The generic structure of MapMan also allows it to be used for transcripts, proteins, enzymes and metabolites. MapMan was developed for use with Arabidopsis, but has already been extended for use with several other species. These tools are available as downloadable and web-based versions. After providing an introduction to the scope and use of MapMan, we present a case study where MapMan is used to analyse the transcriptional response of the crop plant maize to diurnal changes and an extension of the night. We then explain how MapMan can be customized to visually and systematically compare responses in maize and Arabidopsis. These analyses illustrate how MapMan can be used to analyse and compare global transcriptional responses between phylogenetically distant species, and show that analyses at the level of functional categories are especially useful in cross-species comparisons.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Stay-green regulates chlorophyll and chlorophyll-binding protein degradation during senescence.

            Stay-green mutants are delayed in leaf senescence and have been identified from different plant species, including many crops. Functional stay-greens have the potential to increase plant productivity. In cosmetic stay-greens, however, retention of chlorophyll during senescence is uncoupled from a decline of photosynthetic capacity in these mutants. For many cosmetic stay-green mutants, including Gregor Mendel's famous green cotyledon pea variety, molecular defects were recently identified in orthologous stay-green genes. Stay-green genes encode members of a new family of chloroplast-located proteins, which are likely to function in dismantling of photosynthetic chlorophyll-apoprotein complexes. Their activity is considered as a prerequisite for both chlorophyll and apoprotein degradation during senescence.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Proteome-wide characterization of seed aging in Arabidopsis: a comparison between artificial and natural aging protocols.

              A variety of mechanisms have been proposed to account for the extension of life span in seeds (seed longevity). In this work, we used Arabidopsis (Arabidopsis thaliana) seeds as a model and carried out differential proteomics to investigate this trait, which is of both ecological and agricultural importance. In our system based on a controlled deterioration treatment (CDT), we compared seed samples treated for different periods of time up to 7 d. Germination tests showed a progressive decrease of germination vigor depending on the duration of CDT. Proteomic analyses revealed that this loss in seed vigor can be accounted for by protein changes in the dry seeds and by an inability of the low-vigor seeds to display a normal proteome during germination. Furthermore, CDT strongly increased the extent of protein oxidation (carbonylation), which might induce a loss of functional properties of seed proteins and enzymes and/or enhance their susceptibility toward proteolysis. These results revealed essential mechanisms for seed vigor, such as translational capacity, mobilization of seed storage reserves, and detoxification efficiency. Finally, this work shows that similar molecular events accompany artificial and natural seed aging.
                Bookmark

                Author and article information

                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                15 December 2018
                December 2018
                : 19
                : 12
                : 4066
                Affiliations
                [1 ]Department of Bioorganic Chemistry, Leibniz Institute of Plant Biochemistry, 06120 Halle (Saale), Germany; mamontova-bio@ 123456mail.ru (T.M.); bilova.tatiana@ 123456gmail.com (T.B.); ariyong1002@ 123456gmail.com (A.K.)
                [2 ]Department of Biochemistry, St. Petersburg State University, St. Petersburg 199178, Russia; elena_lukasheva@ 123456mail.ru (E.L.); gm2124@ 123456mail.ru (G.M.-S.); tgrishina@ 123456mail.ru (T.G.)
                [3 ]Proteome Analytics, Leibniz Institute of Plant Biochemistry, Weinberg 3, 06120 Halle (Saale), Germany; Carsten.Proksch@ 123456ipb-halle.de (C.P.); Wolfgang.Hoehenwarter@ 123456ipb-halle.de (W.H.)
                [4 ]Department of Plant Physiology and Biochemistry, St. Petersburg State University, St. Petersburg 199034, Russia; s.medvedev@ 123456spbu.ru
                [5 ]Research Institute of Hygiene, Occupational Pathology, and Human Ecology, Federal Medicobiological Agency, 188663 Kapitolovo, Russia; vbabakov@ 123456gmail.com
                Author notes
                [* ]Correspondence: g.smolikova@ 123456spbu.ru (G.S.); afrolov@ 123456ipb-halle.de (A.F.); Tel.: +7-812-328-9695 (G.S.); +49-(0)-345-55821350 (A.F.)
                [†]

                These authors contributed equally on the manuscript.

                Author information
                https://orcid.org/0000-0002-0889-2395
                https://orcid.org/0000-0002-5306-2980
                https://orcid.org/0000-0002-7669-7524
                https://orcid.org/0000-0001-5238-1851
                Article
                ijms-19-04066
                10.3390/ijms19124066
                6320946
                30558315
                11310e4c-95df-4c1a-b9fe-8b209a9f673d
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 07 November 2018
                : 13 December 2018
                Categories
                Article

                Molecular biology
                chlorophylls,lc-ms-based proteomics,pea (pisum sativum l.),proteome functional annotation,proteome map,seeds,seed proteomics

                Comments

                Comment on this article