Literature DB >> 31489348

Phenotyping and cell wall polysaccharide composition dataset of five arabidopsis ecotypes grown at optimal or sub-optimal temperatures.

Harold Duruflé1, Cécile Albenne1, Elisabeth Jamet1, Christophe Dunand1.   

Abstract

This article presents experimental data describing the morphology and the cell wall monosaccharide content of rosettes and flower stems of five Arabidopsis thaliana ecotypes grown at two contrasted temperatures. Besides, cell wall polysaccharides are reconstructed from data of monosaccharide quantification. The well-described and sequenced Columbia (Col) ecotype and four newly-described Pyrenees ecotypes (Duruflé et al., 2019) have been grown at two different temperatures (15 °C and 22 °C). For macrophenotyping, we provide dataset regarding (i) rosettes such as measurement of diameter and fresh mass as well as number of leaves just before bolting and (ii) floral stems at the first flower stage such as length, number of cauline leaves, mass and diameter at its base. Regarding cell wall composition, we provide data of quantification of seven monosaccharides and the reconstruction three polysaccharides. All these data are markers to differentiate both growth temperatures and the different ecotypes. They constitute a valuable resource for the community to study the adaptation of A. thaliana ecotypes to sub-optimal temperature growth conditions.

Entities:  

Keywords:  Arabidopsis thaliana; Cell wall; Macrophenotyping; Monosaccharide analysis; Polysaccharide reconstruction; Pyrenees ecotype

Year:  2019        PMID: 31489348      PMCID: PMC6717163          DOI: 10.1016/j.dib.2019.104318

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table The datasets include large sets of rosettes and floral stem morphological description of five A. thaliana ecotypes at two growth temperatures, the quantification of seven monosaccharides and the reconstruction of three polysaccharides of the cell wall. The phenotyping data obtained from the four newly identified A. thaliana altitudinal ecotypes from the French Pyrenees mountains will be useful as reference to investigate further local adaptation. The data can be used to study the impact of sub-optimal temperature growth conditions on A. thaliana development. The data can also be used to study the natural morphological or molecular variations in rosettes or floral stems in responses to changes in growth temperature conditions.

Data

We report on several rosettes and floral stems phenotyping datasets of five ecotypes of the model plant Arabidopsis thaliana grown at two different temperatures. Four kinds of data are reported: macrophenotyping datasets of rosettes and floral stems (Supplementary file 1), raw data of cell wall monosaccharide quantification (Supplementary file 2), total cell wall monosaccharide quantification using raw data (Supplementary file 3), and cell wall polysaccharide reconstruction using total monosaccharide quantification (Supplementary file 4). Data are provided as Supplementary files and their contents are described in the section “2.5. Data organization”.

Experimental design, materials, and methods

Plant material

Datasets from five ecotypes of the annual plant A. thaliana have been obtained: on the one hand, Grip, Hosp, Hern, Roch which are living between 700 m and 1400 m in altitude in the Pyrenees mountains [1]; on the other hand, the already well-described Columbia (Col) originating from Poland where it used to live at 200 m in altitude (EFO_0005147, Versailles Arabidopsis Stock Centre number: 186AV). Seeds were sowed in Jiffy-7® peat pellets (Jiffy International, Kristiansand, Norway). After 48 h of stratification at 4 °C in darkness, plants were grown at two different temperatures, at 22 °C or 15 °C, under a light intensity of 90 μmol photons/m2/s. They were cultivated under a long-day condition (16 h light/8 h dark) with 70% humidity. Rosettes were collected just before bolting (stage 5.10 [2]) from four or six week-old plants grown at 22 °C or 15 °C, respectively. Floral stems were collected at the first-flower stage of development (stage 6 [2]): 6 weeks for Col; 7 weeks for Grip and Roch; 8 weeks for Hosp and Hern. They were collected two weeks later for all the ecotypes grown at 15 °C. In total, 15–22 rosettes and 10–20 floral stems from three independent biological replicates have been pooled for the molecular analyses.

Macrophenotyping

Rosettes and floral stems phenotyping datasets were collected at the time of sampling. Diameter and fresh mass of rosettes were measured and the number of leaves was counted. Before freezing, pictures were taken to measure the rosette areas with the ImageJ software [3]. Regarding floral stems phenotyping datasets, the length, the number of cauline leaves, the mass and the diameter at the base of the floral stem were measured. All the samples were frozen at −80 °C.

Cell wall purification and sequential cell wall polysaccharide extraction and identification

Cell wall purification was performed using the three independent pools of rosettes or floral stems for each experiment and each ecotype as described [4]. The sequential extraction of cell wall polysaccharides was performed as detailed in [5]. In summary, 100 mg of a deproteinized cell wall fraction were used. Four successive extractions were carried out to obtain two extracts enriched in pectins (E1 and E2) and two extracts enriched in hemicelluloses (E3 and E4). Each extract was hydrolysed in 2 N TFA for 1 h at 120 °C. After 10X dilution in UHQ water, monosaccharides were analysed by High-Performance Anion-Exchange Chromatography coupled to Pulsed Amperometric Detection (HPAEC-PAD; Dionex, Sunnyvale, CA, USA) using a CarboPac PA1 column (Dionex). L-Ara (L-Arabinose), D-Gal (D-Galactose), L-Fuc (L-Fucose), L-Rha (L-Rhamnose), and GalA (Galacturonic acid, Sigma-Aldrich, Saint-Quentin Fallavier, France); D-Glc (D-Glucose, Merck, Darmstadt, Germany); D-Xyl (D-Xylose, Roche, Mannheim, Germany) were used as standard monosaccharides for identification and quantification.

Cell wall polysaccharide reconstruction

Cell wall polysaccharide reconstruction was performed using formula adapted from [5], [6] and described in Table 1.
Table 1

Polysaccharide reconstruction based on monosaccharide analysis data. Arabinose (Ara), Fucose (Fuc), Galactose (Gal), Galacturonic Acid (GalA), Glucose (Glc), Rhamnose (Rha), Xylose (Xyl), molecular mass of GalA (MGalA: 194.139 g/mol), molecular mass of Rha (MRha: 164.156 g/mol). Quantitative values are in μg/mg fresh mass. RG stands for total Rhamnogalacturonan I and II.

DescriptionFormula
Rhamnogalacturonan I (RGI)(Rha x (1+MGalAMRha)) + Ara + Gal
Homogalacturonan (HG)GalA - (Rha x (1+MGalAMRha))
Xyloglucan (XG)Fuc + Glc + Xyl
Linearity of pectin(GalA - Rha)/((Rha x (1+MGalAMRha)) + Ara + Gal)
Contribution of RG to pectin population(Rha x (1+MGalAMRha))/(GalA - Rha)
Branching of RGI(Ara + Gal)/(Rha x (1+MGalAMRha))
Polysaccharide reconstruction based on monosaccharide analysis data. Arabinose (Ara), Fucose (Fuc), Galactose (Gal), Galacturonic Acid (GalA), Glucose (Glc), Rhamnose (Rha), Xylose (Xyl), molecular mass of GalA (MGalA: 194.139 g/mol), molecular mass of Rha (MRha: 164.156 g/mol). Quantitative values are in μg/mg fresh mass. RG stands for total Rhamnogalacturonan I and II.

Data organization

The data are provided in four Supplementary files including: Supplementary file 1: Macrophenotyping data of the five ecotypes at two growth temperatures Supplementary file 2: Raw data of cell wall monosaccharide quantification after HPAEC-PAD analysis Supplementary file 3: Cell wall monosaccharide quantification data after HPAEC-PAD analysis Supplementary file 4: Cell wall polysaccharide reconstruction

Specifications Table

Subject areaBiology
More specific subject areaMacrophenotyping data of Arabidopsis ecotypes and cell wall monosaccharide and polysaccharide compositions
Type of dataTables
How data was acquiredImageJ, HPAEC-PAD
Data formatRaw and processed data
Experimental factors5 ecotypes of Arabidopsis thaliana at 2 growth temperatures (15 and 22 °C)2 organs (rosettes and floral stems)3 biological replicates
Experimental featuresRosettes and floral stems morphological traits and cell wall monosaccharide quantification
Data source location[1]
Data accessibilityData are available in this article as 3 supplementary files
Related research articlesH. Duruflé, P. Ranocha, D.L. Mbadinga Mbadinga, S. Déjean, M. Bonhomme, H. San Clemente, S. Viudes, A. Eljebbawi, V. Delorme-Hinoux, J. Sáez-Vásquez, J.-P. Reichheld, N. Escaravage, M. Burrus, C. Dunand, Phenotypic trait variation as a response to altitude-related constraints in Arabidopsis populations, Front. Plant Sci. (2019) [1]
Value of the data

The datasets include large sets of rosettes and floral stem morphological description of five A. thaliana ecotypes at two growth temperatures, the quantification of seven monosaccharides and the reconstruction of three polysaccharides of the cell wall.

The phenotyping data obtained from the four newly identified A. thaliana altitudinal ecotypes from the French Pyrenees mountains will be useful as reference to investigate further local adaptation.

The data can be used to study the impact of sub-optimal temperature growth conditions on A. thaliana development.

The data can also be used to study the natural morphological or molecular variations in rosettes or floral stems in responses to changes in growth temperature conditions.

  6 in total

1.  Growth stage-based phenotypic analysis of Arabidopsis: a model for high throughput functional genomics in plants.

Authors:  D C Boyes; A M Zayed; R Ascenzi; A J McCaskill; N E Hoffman; K R Davis; J Görlach
Journal:  Plant Cell       Date:  2001-07       Impact factor: 11.277

2.  Cell wall modifications of two Arabidopsis thaliana ecotypes, Col and Sha, in response to sub-optimal growth conditions: An integrative study.

Authors:  Harold Duruflé; Vincent Hervé; Philippe Ranocha; Thierry Balliau; Michel Zivy; Josiane Chourré; Hélène San Clemente; Vincent Burlat; Cécile Albenne; Sébastien Déjean; Elisabeth Jamet; Christophe Dunand
Journal:  Plant Sci       Date:  2017-07-20       Impact factor: 4.729

3.  NIH Image to ImageJ: 25 years of image analysis.

Authors:  Caroline A Schneider; Wayne S Rasband; Kevin W Eliceiri
Journal:  Nat Methods       Date:  2012-07       Impact factor: 28.547

4.  Comparative study of the cell wall composition of broccoli, carrot, and tomato: structural characterization of the extractable pectins and hemicelluloses.

Authors:  Ken Houben; Ruben P Jolie; Ilse Fraeye; Ann M Van Loey; Marc E Hendrickx
Journal:  Carbohydr Res       Date:  2011-04-13       Impact factor: 2.104

5.  Evaluation of cell wall preparations for proteomics: a new procedure for purifying cell walls from Arabidopsis hypocotyls.

Authors:  Leila Feiz; Muhammad Irshad; Rafael F Pont-Lezica; Hervé Canut; Elisabeth Jamet
Journal:  Plant Methods       Date:  2006-05-27       Impact factor: 4.993

6.  Phenotypic Trait Variation as a Response to Altitude-Related Constraints in Arabidopsis Populations.

Authors:  Harold Duruflé; Philippe Ranocha; Duchesse Lacour Mbadinga Mbadinga; Sébastien Déjean; Maxime Bonhomme; Hélène San Clemente; Sébastien Viudes; Ali Eljebbawi; Valerie Delorme-Hinoux; Julio Sáez-Vásquez; Jean-Philippe Reichheld; Nathalie Escaravage; Monique Burrus; Christophe Dunand
Journal:  Front Plant Sci       Date:  2019-04-09       Impact factor: 5.753

  6 in total
  2 in total

1.  An integrative Study Showing the Adaptation to Sub-Optimal Growth Conditions of Natural Populations of Arabidopsis thaliana: A Focus on Cell Wall Changes.

Authors:  Harold Duruflé; Philippe Ranocha; Thierry Balliau; Michel Zivy; Cécile Albenne; Vincent Burlat; Sébastien Déjean; Elisabeth Jamet; Christophe Dunand
Journal:  Cells       Date:  2020-10-07       Impact factor: 6.600

2.  Transcriptomic and cell wall proteomic datasets of rosettes and floral stems from five Arabidopsis thaliana ecotypes grown at optimal or sub-optimal temperature.

Authors:  Harold Duruflé; Philippe Ranocha; Thierry Balliau; Christophe Dunand; Elisabeth Jamet
Journal:  Data Brief       Date:  2019-09-28
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.