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Citation

Abou-Saleh, Radwa H. and Hernandez-Gomez, Mercedes and Amsbury, Sam and Paniagua, Candelas and Bourdon, Matthieu and Miyashima, Shunsuke and Helariutta, Ykä and Fuller, Martin and Budtova, Tatiana and Connell, Simon D. and Ries, Michael and Benitez-Alfonso, Yoselin (2018) Dataset associated with 'Interactions between callose and cellulose revealed through the analysis of biopolymer mixtures'. University of Leeds. [Dataset] https://doi.org/10.5518/225

Dataset description

The properties of (1,3)-β-glucans (i.e. callose) remain largely unknown despite their importance in plant development and defence. Mixtures of (1,3)-β-glucan and cellulose, in ionic liquid solution and hydrogels, were used as proxies to understand the physico-mechanical properties of callose in cell walls. With callose addition, the stiffness of callose-cellulose hydrogels was reduced, to a greater extent than predicted from the ideal mixing rule (i.e. the weighted average of the individual components’ properties). In contrast, yield behaviour after the elastic limit is more ductile in cellulose-callose hydrogels compared with sudden failure in 100% cellulose hydrogels. The viscoelastic behaviour and the diffusion of the ions in mixed ionic liquid solutions strongly indicate interactions between the polymers. These interactions are likely linked to changes in cellulose organization in the presence of callose recorded by FTIR analysis of hydrogels and transgenic cell walls. The implications in the context of callose biological function are discussed.

Keywords:	Cellulose, (1,3)-β-glucans, Callose, Pachyman, Avicel, ionic liquid solutions, cell walls, Hydrogels, Biopolymers, rheology, AFM-nanoindentation, 1H-NMR, polymer interactions, toughness.
Subjects:	C000 - Biological sciences > C700 - Molecular biology, biophysics & biochemistry > C770 - Biophysical science
Divisions:	Faculty of Biological Sciences > Centre for Plant Sciences
Related resources:	Location Type https://doi.org/10.1038/s41467-018-06820-y Publication http://eprints.whiterose.ac.uk/134699/ Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	04 Sep 2018 14:12
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/414
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Abou-Saleh, Radwa H. https://orcid.org/0000-0002-8471-2659 University of Leeds https://ror.org/024mrxd33 ror Hernandez-Gomez, Mercedes https://orcid.org/0009-0000-1603-7527 University of Leeds https://ror.org/024mrxd33 ror Amsbury, Sam https://orcid.org/0000-0002-2767-9768 University of Leeds https://ror.org/024mrxd33 ror Paniagua, Candelas https://orcid.org/0000-0002-3263-1996 University of Leeds https://ror.org/024mrxd33 ror Bourdon, Matthieu https://orcid.org/0000-0001-7243-5642 University of Cambridge https://ror.org/013meh722 ror Miyashima, Shunsuke https://orcid.org/0000-0001-8267-3978 Nara Institute of Science and Technology https://ror.org/05bhada84 ror Helariutta, Ykä https://orcid.org/0000-0002-7287-8459 University of Cambridge https://ror.org/013meh722 ror Fuller, Martin University of Leeds https://ror.org/024mrxd33 ror Budtova, Tatiana https://orcid.org/0000-0003-1835-2146 Université Paris Sciences et Lettres https://ror.org/013cjyk83 ror Connell, Simon D. https://orcid.org/0000-0003-2500-5724 University of Leeds https://ror.org/024mrxd33 ror Ries, Michael https://orcid.org/0000-0002-8050-3200 University of Leeds https://ror.org/024mrxd33 ror Benitez-Alfonso, Yoselin https://orcid.org/0000-0001-9779-0413 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Publication date: 2018 Resource language: English Metadata language: English Publisher: University of Leeds Contact email: r.h.saleh@leeds.ac.uk Last Modified: 02 Aug 2024 09:53

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