Evidence map›Paper›PMID 27375657›Full record

ArticleFrontiers in plant science2016

Extensive Natural Variation in Arabidopsis Seed Mucilage Structure.

Cătălin Voiniciuc, Eva Zimmermann, Maximilian Heinrich-Wilhelm Schmidt, Markus Günl, Lanbao Fu, Helen M North, Björn Usadel

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
9.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 37 citations in OpenAlex.

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  8. Computational aspects underlying genome to phenome analysis in plants.The Plant journal : for cell and molecular biology · 2019
    Review
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  10. Article
  11. Review
  12. Article
  13. Whole-seed Immunolabeling ofBio-protocol · 2017
    Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Cătălin VoiniciucInstitute for Bio- and Geosciences (IBG-2: Plant Sciences), Forschungszentrum JülichJülich, Germany; Institute for Botany and Molecular Genetics, BioEconomy Science Center, RWTH Aachen UniversityAachen, Germany.
Eva ZimmermannInstitute for Bio- and Geosciences (IBG-2: Plant Sciences), Forschungszentrum Jülich Jülich, Germany.
Maximilian Heinrich-Wilhelm SchmidtInstitute for Bio- and Geosciences (IBG-2: Plant Sciences), Forschungszentrum JülichJülich, Germany; Institute for Botany and Molecular Genetics, BioEconomy Science Center, RWTH Aachen UniversityAachen, Germany.
Markus GünlInstitute for Bio- and Geosciences (IBG-2: Plant Sciences), Forschungszentrum Jülich Jülich, Germany.
Lanbao FuInstitute for Botany and Molecular Genetics, BioEconomy Science Center, RWTH Aachen University Aachen, Germany.
Helen M NorthCentre National de la Recherche Scientifique, Institut Jean-Pierre Bourgin, INRA, AgroParisTech, Université Paris-Saclay Versailles, France.
Björn UsadelInstitute for Bio- and Geosciences (IBG-2: Plant Sciences), Forschungszentrum JülichJülich, Germany; Institute for Botany and Molecular Genetics, BioEconomy Science Center, RWTH Aachen UniversityAachen, Germany.
Forschungszentrum Jülich · DEAgroParisTech · FRRWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrated Arabidopsis thaliana seeds are coated by a gelatinous layer called mucilage, which is mainly composed of cell wall polysaccharides. Since mucilage is rich in pectin, its architecture can be visualized with the ruthenium red (RR) dye. We screened the seeds of around 280 Arabidopsis natural accessions for variation in mucilage structure, and identified a large number of novel variants that differed from the Col-0 wild-type. Most of the accessions released smaller RR-stained capsules compared to the Col-0 reference. By biochemically characterizing the phenotypes of 25 of these accessions in greater detail, we discovered that distinct changes in polysaccharide structure resulted in gelatinous coatings with a deceptively similar appearance. Monosaccharide composition analysis of total mucilage extracts revealed a remarkable variation (from 50 to 200% of Col-0 levels) in the content of galactose and mannose, which are important subunits of heteromannan. In addition, most of the natural variants had altered Pontamine Fast Scarlet 4B staining of cellulose and significantly reduced birefringence of crystalline structures. This indicates that the production or organization of cellulose may be affected by the presence of different amounts of hemicellulose. Although, the accessions described in this study were primarily collected from Western Europe, they form five different phenotypic classes based on the combined results of our experiments. This suggests that polymorphisms at multiple loci are likely responsible for the observed mucilage structure. The transcription of MUCILAGE-RELATED10 (MUCI10), which encodes a key enzyme for galactoglucomannan synthesis, was severely reduced in multiple variants that phenocopied the muci10-1 insertion mutant. Although, we could not pinpoint any causal polymorphisms in this gene, constitutive expression of fluorescently-tagged MUCI10 proteins complemented the mucilage defects of a muci10-like accession. This leads us to hypothesize that some accessions might disrupt a transcriptional regulator of MUCI10. Therefore, this collection of publicly-available variants should provide insight into plant cell wall organization and facilitate the discovery of genes that regulate polysaccharide biosynthesis.

Indexed as

Arabidopsiscellulosegalactoglucomannanhemicellulosemucilagepectinplant cell wallseeds

Identifiers

PMID27375657
PMCPMC4894908
OpenAlexW2463167796

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.