Evidence map›Paper›PMID 28607074›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Carbohydrate microarrays and their use for the identification of molecular markers for plant cell wall composition.

Ian P Wood, Bruce M Pearson, Enriqueta Garcia-Gutierrez, Lenka Havlickova, Zhesi He, Andrea L Harper, Ian Bancroft, Keith W Waldron

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.1field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Synthetic Plant Glycan Microarrays as Tools for Plant Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  4. Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. AFrontiers in plant science · 2020
    Article
  6. Article
  7. Analysing the genetic architecture of clubroot resistance variation inMolecular breeding : new strategies in plant improvement · 2019
    Article
  8. Article
  9. Review
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

8 authors at 2 institutions in 1 country.

Ian P WoodQuadram Institute Bioscience, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom.
Bruce M PearsonQuadram Institute Bioscience, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom.
Enriqueta Garcia-GutierrezQuadram Institute Bioscience, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom.
Lenka HavlickovaDepartment of Biology, University of York, Heslington, YO10 5DD, United Kingdom.
Zhesi HeDepartment of Biology, University of York, Heslington, YO10 5DD, United Kingdom.
Andrea L HarperDepartment of Biology, University of York, Heslington, YO10 5DD, United Kingdom.
Ian BancroftDepartment of Biology, University of York, Heslington, YO10 5DD, United Kingdom.ORCID 0000-0001-7707-1171
Keith W WaldronQuadram Institute Bioscience, Norwich Research Park, Colney, Norwich NR4 7UA, United Kingdom; keith.waldron@quadram.ac.uk.
Norwich Research Park · GBUniversity of York · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J004545/1Biotechnology and Biological Sciences Research Council BB/L002124/1
6 · The paper itself

Abstract

Genetic improvement of the plant cell wall has enormous potential to increase the quality of food, fibers, and fuels. However, the identification and characterization of genes involved in plant cell wall synthesis is far from complete. Association mapping is one of the few techniques that can help identify candidate genes without relying on our currently incomplete knowledge of cell wall synthesis. However, few cell wall phenotyping methodologies have proven sufficiently precise, robust, or scalable for association mapping to be conducted for specific cell wall polymers. Here, we created high-density carbohydrate microarrays containing chemically extracted cell wall polysaccharides collected from 331 genetically diverse

Indexed as

CarbohydratesDatabases, FactualMicroarray AnalysisBrassica napusCarbohydrate MetabolismCell WallSpecies SpecificityCarbohydratesassociation mappingbiomassfunctional genomicsGWASlignocellulose

Identifiers

PMID28607074
PMCPMC5495229
OpenAlexW2626367737

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.