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      Datasets of seed mucilage traits for Arabidopsis thaliana natural accessions with atypical outer mucilage

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          Abstract

          The seeds of Arabidopsis thaliana become encapsulated by a layer of mucilage when imbibed. This polysaccharide-rich hydrogel is constituted of two layers, an outer layer that can be easily extracted with water and an inner layer that must be examined in situ in order to study its properties and structure in a non-destructive manner or disintegrated through hydrolysis or physical means in order to analyze its constituents. Mucilage production is an adaptive trait and we have exploited 19 natural accessions previously found to have atypical and varied outer mucilage characteristics. A detailed study using biochemical, histological and Time-Domain NMR analyses has been used to generate three related datasets covering 33 traits measured in four biological replicates. This data will be a rich resource for genetic, biochemical, structural and functional analyses investigating mucilage constituent polysaccharides or their role as adaptive traits.

          Abstract

          Measurement(s) intrinsic viscosity • galacturonic acid • seed and inner mucilage layer width • Transverse Spin Relaxation Time • Transverse Spin Relaxation intensity • mucilage • neutral sugar content • mass per seed • sample mass
          Technology Type(s) size-exclusion chromatography • colorimetry • immunolabeling method • confocal microscopy • nuclear magnetic resonance spectroscopy • Time-domain NMR • biochemical, histological and Time-Domain NMR analyses • biochemical method using orcinol • microbalance
          Sample Characteristic - Organism Arabidopsis thaliana

          Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.13320593

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          An Algorithm for Least-Squares Estimation of Nonlinear Parameters

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            New method for quantitative determination of uronic acids.

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              MUCILAGE-RELATED10 Produces Galactoglucomannan That Maintains Pectin and Cellulose Architecture in Arabidopsis Seed Mucilage.

              Plants invest a lot of their resources into the production of an extracellular matrix built of polysaccharides. While the composition of the cell wall is relatively well characterized, the functions of the individual polymers and the enzymes that catalyze their biosynthesis remain poorly understood. We exploited the Arabidopsis (Arabidopsis thaliana) seed coat epidermis (SCE) to study cell wall synthesis. SCE cells produce mucilage, a specialized secondary wall that is rich in pectin, at a precise stage of development. A coexpression search for MUCILAGE-RELATED (MUCI) genes identified MUCI10 as a key determinant of mucilage properties. MUCI10 is closely related to a fenugreek (Trigonella foenumgraecum) enzyme that has in vitro galactomannan α-1,6-galactosyltransferase activity. Our detailed analysis of the muci10 mutants demonstrates that mucilage contains highly branched galactoglucomannan (GGM) rather than unbranched glucomannan. MUCI10 likely decorates glucomannan, synthesized by CELLULOSE SYNTHASE-LIKE A2, with galactose residues in vivo. The degree of galactosylation is essential for the synthesis of the GGM backbone, the structure of cellulose, mucilage density, as well as the adherence of pectin. We propose that GGM scaffolds control mucilage architecture along with cellulosic rays and show that Arabidopsis SCE cells represent an excellent model in which to study the synthesis and function of GGM. Arabidopsis natural varieties with defects similar to muci10 mutants may reveal additional genes involved in GGM synthesis. Since GGM is the most abundant hemicellulose in the secondary walls of gymnosperms, understanding its biosynthesis may facilitate improvements in the production of valuable commodities from softwoods.
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                Author and article information

                Contributors
                helen.north@inrae.fr
                corinne.rondeau@inrae.fr
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                9 March 2021
                9 March 2021
                2021
                : 8
                : 79
                Affiliations
                [1 ]GRID grid.507621.7, INRAE, UR1466 OPAALE, ; 17 avenue de Cucillé, CS 64427, 35044 Rennes Cedex, France
                [2 ]GRID grid.418453.f, ISNI 0000 0004 0613 5889, Institut Jean-Pierre Bourgin, INRAE, ; AgroParisTech, Route de Saint Cyr, RD10, 78000 Versailles, France
                [3 ]GRID grid.507621.7, INRAE, UR1268 BIA, 3, Impasse Yvette Cauchois, ; CS 71627, 44316 Cedex 3 Nantes, France
                Author information
                http://orcid.org/0000-0002-8573-1050
                Article
                857
                10.1038/s41597-021-00857-3
                7943791
                33750820
                9fd6243b-1826-498b-b4f3-5a392f24cabd
                © The Author(s) 2021

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files associated with this article.

                History
                : 21 September 2020
                : 12 February 2021
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001665, Agence Nationale de la Recherche (French National Research Agency);
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award ID: ANR-14-CE19-0001
                Award Recipient :
                Funded by: Saclay Plant Sciences, ANR-17-EUR-0007
                Categories
                Data Descriptor
                Custom metadata
                © The Author(s) 2021

                plant physiology,polysaccharides
                plant physiology, polysaccharides

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