Paper record
Engineering and characterization of carbohydrate-binding modules to enable real-time imaging of cellulose fibrils biosynthesis in plant protoplasts
bioRxiv · 3 Jan 2023 · 10.1101/2023.01.02.522519
Abstract
O_LICarbohydrate binding modules (CBMs) are non-catalytic domains associated with cell wall degrading carbohydrate-active enzymes (CAZymes) that are often present in nature tethered to distinct catalytic domains (CD). Fluorescently labeled CBMs have been also used to visualize the presence of specific polysaccharides present in the cell wall of plant cells and tissues. C_LIO_LIPrevious studies have provided a qualitative analysis of CBM-polysaccharide interactions, with limited characterization of optimal CBM designs for recognizing specific plant cell wall glycans. Furthermore, CBMs also have not been used to study cell wall regeneration in plant protoplasts. C_LIO_LIHere, we examine the dynamic interactions of engineered type-A CBMs (from families 3a and 64) with crystalline cellulose-I and phosphoric acid swollen cellulose (PASC). We generated tandem CBM designs to determine their binding parameters and reversibility towards cellulose-I using equilibrium binding assays. Kinetic parameters - adsorption (kon) and desorption (koff) rate constants-for CBMs towards nanocrystalline cellulose were determined using quartz crystal microbalance with dissipation (QCM-D). Our results indicate that tandem CBM3a exhibits a five-fold increased adsorption rate to cellulose compared to single CBM3a, making tandem CBM3a suitable for live-cell imaging applications. We next used engineered CBMs to visualize Arabidopsis thaliana protoplasts with regenerated cell walls using wide-field fluorescence and confocal laser scanning microscopy (CLSM). C_LIO_LIIn summary, tandem CBMs offer a novel polysaccharide labeling probe for real-time visualization of growing cellulose chains in living Arabidopsis protoplasts. C_LI
Code and data availability
The supplied blocks describe CBM binding assays, QCM-D analysis, and protoplast imaging, but contain no public phenotype/trait dataset, image collection, author analysis code, or trained model with an explicit availability statement or authors' public URL. The only URL mentioned (http://www.cazy.org) is a generic CAZy,
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