Dataset Information

Shotgun proteomics of a rice elongating internode at boosting stage

ABSTRACT: Stem internodes of grasses function in mechanical support, transport, and, in some species are a major sink organ for carbon in the form of cell wall polymers. To establish the rice elongating internode as a model for secondary cell wall development, we conducted cell wall composition, proteomic and metabolomic analyses of the second rice internode at booting stage. We measured major secondary cell wall components along eight segments of an elongating internode. Cellulose, lignin, and xylose increase as a percentage of cell wall material from the younger to the older internode segments, indicating active cell wall synthesis. With the whole elongating internode, we measured peptides via liquid-chromatography mass spectrometry (LC-MS) following trypsin digestion of size fractionated proteins. This identified a total of 3249 protein groups with at least two unique peptides, including many glycosyltransferases, acyltransferases, glycohyrolases, cell wall-localized proteins, and protein kinases that have or may have functions in cell wall biosynthesis or remodeling. In addition, GO over-representation analysis and KO pathway analysis indicate many proteins involved in biosynthetic processes, especially the synthesis of secondary metabolites such as phenylpropanoids, flavonoids, and tepenoids. Therefore, we also used LC-MS to measure methanol-extracted secondary metabolites from the whole internode at the elongation stage and three post-elongation stages, and from leaf and root at the second post-elongation stage. The results indicate secondary metabolites in stems are distinct from those of roots and leaves, and show different profiles during stem development. This study fills a void of knowledge of proteomics and metabolomics data for grass stems, especially of rice, and provides baseline knowledge for more detailed studies of cell wall synthesis and other biological processes during internode development. This and future work is aimed at optimizing stem development and cell wall composition of grasses to improve agronomic properties and biofuel production.

INSTRUMENT(S): LTQ Orbitrap, Synapt MS

ORGANISM(S): Oryza Sativa (rice)

TISSUE(S): Plant Cell, Shoot

SUBMITTER: Fan Lin

LAB HEAD: Laura E. Bartley

PROVIDER: PXD003676 | Pride | 2017-08-04

REPOSITORIES: Pride

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Publications

Proteomics Coupled with Metabolite and Cell Wall Profiling Reveal Metabolic Processes of a Developing Rice Stem Internode.

Lin Fan F Williams Brad J BJ Thangella Padmavathi A V PAV Ladak Adam A Schepmoes Athena A AA Olivos Hernando J HJ Zhao Kangmei K Callister Stephen J SJ Bartley Laura E LE

Frontiers in plant science 20170713

Internodes of grass stems function in mechanical support, transport, and, in some species, are a major sink organ for carbon in the form of cell wall polymers. This study reports cell wall composition, proteomic, and metabolite analyses of the rice elongating internode. Cellulose, lignin, and xylose increase as a percentage of cell wall material along eight segments of the second rice internode (internode II) at booting stage, from the younger to the older internode segments, indicating active c ...[more]

PMID: 28751896

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Project description:Advances in alfalfa [Medicago sativa (L.) subsp. sativa] breeding, molecular genetics and genomics have been slow because this crop is an allogamous autotetraploid (2n = 4x = 32) with complex polysomic inheritance. Increasing cellulose and decreasing lignin in alfalfa stem cell walls would improve this crop as a cellulosic ethanol feedstock. We selected two alfalfa genotypes (252, 1283) that differ in cellulose and Klason lignin concentration in stem cell walls. Analysis of GeneChip expression data files of alfalfa stem internodes of genotypes 252 and 1283 at two growth stages (elongating, post-elongation) revealed 10,887 SFPs in 8,230 probe sets. Validation analysis by PCR-sequencing of a random sample of SFPs indicated a 12% false discovery rate. Functional classification and over-representation analysis showed that both genotypes were highly enriched in SFP-harboring cell wall genes. We mapped 5,833 of the 8,230 SFP-harboring genes onto putative orthologous loci on Medicago truncatula chromosomes. Clustering and over-representation of SFP-harboring genes within the same functional class (e.g. cell wall genes) was observed on some chromosomes. Prior to analysis of expression data for the two alfalfa genotypes, SFP probes were masked to reduce false positives and false negatives. The combination of SFP and gene expression analysis provide a list of candidate cell wall genes that can be used as molecular markers in a breeding program to improve alfalfa as a cellulosic feedstock. The results of this study will also be useful in advancing understanding of genome organization in alfalfa and for comparative genomics research with other legume species. SUBMITTER_CITATION: Mesfin Tesfaye, S.S. Yang, J.F. Lamb, H.J. Jung, D.A. Samac, J. Gronwald, C.P. Vance and K.A. VandenBosch (2009). Medicago truncatula as a model for dicot cell wall development. BioEnergy Research 2: 59-76 Experiment Overall Design: The alfalfa clonal lines 252 and 1283 were propagated from cuttings and grown in the greenhouse. The greenhouse experiments consisted of three replicates arranged in a randomized complete block design. There were eight plants of each clone, in individual pots, in each replicate. Plant material for analysis was composited within each replicate at harvest. Stem internode tissues were harvested at full bloom. Based on tissue pliability and coloration, the internode in transition from elongation to post-elongation cambial growth was identified. The internodes immediately above (elongating internodes) and below this transition internode (post-elongation internodes) were collected for RNA extraction.

Dataset Information

Shotgun proteomics of a rice elongating internode at boosting stage

Publications

Proteomics Coupled with Metabolite and Cell Wall Profiling Reveal Metabolic Processes of a Developing Rice Stem Internode.

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