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

Mireille Cambert,Stéphanie Esling,Delphine Charif,Tudel Cadoret,Marie-Christine Ralet,Adeline Berger,Corinne Rondeau-Mouro,Christine Sallé,Helen M North

doi:10.1038/s41597-021-00857-3

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.

Highlights

Background & SummarySeeds of a number of plant species, including Arabidopsis (Arabidopsis thaliana), become surrounded by sticky mucilage when imbibed
In the reference accession for the model plant Arabidopsis, Columbia (Col-0), the major component of mucilage is the pectin rhamnogalacturonan I (RG-I), which is organized in two distinct layers that differ in their polysaccharide composition and structure[2]
Natural variation in the outer water-soluble layer of Arabidopsis mucilage was recently reported for 306 natural Arabidopsis accessions[3,4]

Summary

Introduction

Background & SummarySeeds of a number of plant species, including Arabidopsis (Arabidopsis thaliana), become surrounded by sticky mucilage when imbibed. Histological, biochemical and Time-Domain NMR (TD-NMR) analyses were used to generate three datasets: dataset 1 contains 182 899 variables for 33 mucilage and seed traits, dataset 2 comprises raw NMR data files and dataset 3 is 4560 values measured following microscope acquisition.

Results

Conclusion