Literature DB >> 29660082

Molecular Components of Arabidopsis Intact Vacuoles Clarified with Metabolomic and Proteomic Analyses.

Miwa Ohnishi1,2, Aya Anegawa1,2, Yuko Sugiyama2,3, Kazuo Harada4, Akira Oikawa5,6, Yasumune Nakayama7, Fumio Matsuda8, Yukiko Nakamura9, Ryosuke Sasaki2,6, Chizuko Shichijo1,2, Patrick G Hatcher10, Hidehiro Fukaki1,2, Shigehiko Kanaya9, Koh Aoki2,11, Mami Yamazaki2,12, Eiichiro Fukusaki7, Kazuki Saito6,12, Tetsuro Mimura1,2.   

Abstract

We analyzed the metabolites and proteins contained in pure intact vacuoles isolated from Arabidopsis suspension-cultured cells using capillary electrophoresis-mass spectrometry (CE-MS), Fourier transform-ion cyclotron resonance (FT-ICR)-MS and liquid chromatography (LC)-MS. We identified 21 amino acids and five organic acids as major primary metabolites in the vacuoles with CE-MS. Further, we identified small amounts of 27 substances including well-known vacuolar molecules, but also some unexpected substances (e.g. organic phosphate compounds). Non-target analysis of the vacuolar sample with FT-ICR-MS suggested that there are 1,106 m/z peaks that could predict the 5,090 molecular formulae, and we have annotated 34 compounds in these peaks using the KNapSAck database. By conducting proteomic analysis of vacuolar sap, we found 186 proteins in the same vacuole samples. Since the vacuole is known as a major degradative compartment, many of these were hydrolases, but we also found various oxidoreductases and transferases. The relationships between the proteins and metabolites in the vacuole are discussed.

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Year:  2018        PMID: 29660082     DOI: 10.1093/pcp/pcy069

Source DB:  PubMed          Journal:  Plant Cell Physiol        ISSN: 0032-0781            Impact factor:   4.927


  1 in total

1.  Biomarker identification of isolated compartments of the cell wall, cytoplasm and vacuole from the internodal cell of characean Nitellopsis obtusa.

Authors:  Brigita Gylytė; Levonas Manusadžianas; Sigita Jurkonienė; Reda Cimmperman; Vaidevutis Šveikauskas
Journal:  PeerJ       Date:  2021-02-17       Impact factor: 2.984

  1 in total

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