Probing Sequence-Structure Paradigms in Complex Carbohydrates – A Case Study on Rhamnogalacturonan-II

Author:

Bharadwaj Vivek1ORCID,Koj Sabina2ORCID,Bu Lintao1,Crowley Michael3ORCID,Sharma Deepak4,Urbanowicz Breeanna4ORCID,O'Neill Malcolm4,Pena Maria4ORCID

Affiliation:

1. National Renewable Energy Laboratory

2. 1Hirszfeld Institute of Immunology and Experimental Therapy

3. NREL

4. University of Georgia

Abstract

Abstract Polysaccharides are a class of important biomolecules whose structure and function are dictated by the specific sequence of, and linkage between individual constituent carbohydrate residues. Rhamnogalacturonan-II (RG-II) is the most complex polysaccharide known in Nature and plays an indispensable role in the growth and development of all vascular plants. RG-II is characterized by the presence of 12 different monosaccharides connected via a multiplicity of glycosidic linkages. The constituent monosaccharide units are arranged into 6 different sidechains along a polygalacturonic-acid backbone connected by α-1-4 linkages. While the side-chain constituent residues are known, their relative locations along the backbone have not yet been resolved. In this study, we grow, isolate, and characterize RG-II from celery cells and use solution-based NMR in concert with molecular dynamics simulations on 8 distinct structural variants to identify and propose the first atomistic 3-D structure of RG-II that best represents the experimental NOE data. We parameterize the forcefields for unique sugars and linkages and employ replica-exchange molecular dynamics to adequately sample the complex conformational landscape for RG-II. Our biophysical approach provides a foundation to establish sequence-structure relationships for RG-II and enable the tools and metrics to relate its structure to its function.

Publisher

Research Square Platform LLC

Reference51 articles.

1. Rich RNA structure landscapes revealed by mutate-and-map analysis;Cordero P;PLoS computational biology,2015

2. Modeling RNA secondary structure folding ensembles using SHAPE mapping data;Spasic A;Nucleic acids research,2018

3. Rapid and accurate determination of atomistic RNA dynamic ensemble models using NMR and structure prediction;Shi H;Nature communications,2020

4. Highly accurate protein structure prediction with AlphaFold;Jumper J;Nature,2021

5. Chemical structural and chain conformational characterization of some bioactive polysaccharides isolated from natural sources;Yang L;Carbohydrate polymers,2009

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