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      Fruit ripening-associated leucylaminopeptidase with cysteinylglycine dipeptidase activity from durian suggests its involvement in glutathione recycling

      research-article
      1 , 1 , 2 ,
      BMC Plant Biology
      BioMed Central
      Cys-Gly, Durian, Fruit ripening, LAP, Leucylaminopeptidase, Sulphur compound

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          Abstract

          Background

          Durian ( Durio zibethinus L.) is a highly popular fruit in Thailand and several other Southeast Asian countries. It is abundant in essential nutrients and sulphur-containing compounds such as glutathione (GSH) and γ-glutamylcysteine (γ-EC). Cysteinylglycine (Cys-Gly) is produced by GSH catabolism and occurs in durian fruit pulp. Cysteine (Cys) is a precursor of sulphur-containing volatiles generated during fruit ripening. The aforementioned substances contribute to the strong odour and flavour of the ripe fruit. However, the genes encoding plant Cys-Gly dipeptidases are unknown. The aim of this study was to measure leucylaminopeptidase (LAP) activity in durian fruit pulp.

          Results

          We identified DzLAP1 and DzLAP2, which the former was highly expressed in the fruit pulp. DzLAP1 was expressed at various ripening stages and in response to ethephon/1-MCP treatment. Hence, DzLAP1 is active at the early stages of fruit ripening. DzLAP1 is a metalloenzyme ~ 63 kDa in size. It is activated by Mg 2+ or Mn 2+ and, like other LAPs, its optimal alkaline pH is 9.5. Kinetic studies revealed that DzLAP1 has K m = 1.62 mM for its preferred substrate Cys-Gly. DzLAP1-GFP was localised to the cytosol and targeted the plastids. In planta Cys-Gly hydrolysis was confirmed for Nicotiana benthamiana leaves co-infiltrated with Cys-Gly and expressing DzLAP1.

          Conclusions

          DzLAP1 has Cys-Gly dipeptidase activity in the γ-glutamyl cycle. The present study revealed that the LAPs account for the high sulphur-containing compound levels identified in fully ripened durian fruit pulp.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12870-021-02845-6.

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          Most cited references68

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          A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding

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            MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

            We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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              Analyzing real-time PCR data by the comparative CT method

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                Author and article information

                Contributors
                supaart.s@chula.ac.th
                Journal
                BMC Plant Biol
                BMC Plant Biol
                BMC Plant Biology
                BioMed Central (London )
                1471-2229
                1 February 2021
                1 February 2021
                2021
                : 21
                : 69
                Affiliations
                [1 ]GRID grid.7922.e, ISNI 0000 0001 0244 7875, Molecular Crop Research Unit, Department of Biochemistry, Faculty of Science, , Chulalongkorn University, ; 254 Phayathai Road, Bangkok, 10330 Thailand
                [2 ]GRID grid.7922.e, ISNI 0000 0001 0244 7875, Omics Sciences and Bioinformatics Centre, , Chulalongkorn University, ; 254 Phayathai Road, Bangkok, 10330 Thailand
                Author information
                http://orcid.org/0000-0003-0330-0845
                Article
                2845
                10.1186/s12870-021-02845-6
                7852106
                33526024
                ebcec747-6754-4720-b57f-69d2e76c7751
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 21 April 2020
                : 21 January 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004396, Thailand Research Fund;
                Award ID: RSA6080021
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002873, Chulalongkorn University;
                Award ID: GRU 6203023003-1
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Plant science & Botany
                cys-gly,durian,fruit ripening,lap,leucylaminopeptidase,sulphur compound
                Plant science & Botany
                cys-gly, durian, fruit ripening, lap, leucylaminopeptidase, sulphur compound

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