Evidence map›Paper›PMID 28811511›Full record

ArticleScientific reports2017

From metabolome to phenotype: GC-MS metabolomics of developing mutant barley seeds reveals effects of growth, temperature and genotype.

Bekzod Khakimov, Morten Arendt Rasmussen, Rubini Maya Kannangara, Birthe Møller Jespersen, Lars Munck, Søren Balling Engelsen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.6field-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

11 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. 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

6 authors at 1 institution in 1 country.

Bekzod KhakimovDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg, DK-1958, Denmark. bzo@food.ku.dk.
Morten Arendt RasmussenDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg, DK-1958, Denmark.
Rubini Maya KannangaraDepartment of Plant and Environmental Sciences, Copenhagen Plant Science Center, University of Copenhagen, Thorvaldsensvej 40, Frederiksberg, DK-1871, Denmark.
Birthe Møller JespersenDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg, DK-1958, Denmark.
Lars MunckDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg, DK-1958, Denmark.
Søren Balling EngelsenDepartment of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg, DK-1958, Denmark. se@food.ku.dk.
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of crop varieties tolerant to growth temperature fluctuations and improved nutritional value is crucial due to climate change and global population growth. This study investigated the metabolite patterns of developing barley seed as a function of genotype and growth temperature for ideal vegetable protein production and for augmented β-glucan production. Seeds from three barley lines (Bomi, lys3.a and lys5.f) were sampled eight times during grain filling and analysed for metabolites using gas chromatography-mass spectrometry (GC-MS). The lys3.a mutation disrupts a regulator gene, causing an increase in proteins rich in the essential amino acid lysine, while lys5.f carries a mutation in an ADP-glucose transporter gene leading to a significant increase in production of mixed-linkage β-glucan at the expense of α-glucan. Unique metabolic patterns associated with the tricarboxylic acid cycle, shikimate-phenylpropanoid pathway, mevalonate, lipid and carbohydrate metabolism were observed for the barley mutants, whereas growth temperature primarily affected shikimate-phenylpropanoid and lipid metabolism. The study applied recently developed GC-MS metabolomics methods and demonstrated their successful application to link genetic and environmental factors with the seed phenotype of unique and agro-economically important barley models for optimal vegetable protein and dietary fibre production.

Indexed as

MetabolomeMetabolomicsPhenotypeEdible GrainGas Chromatography-Mass SpectrometryGenotypeHordeumMutationPrincipal Component AnalysisSeedsTemperature

Identifiers

PMID28811511
PMCPMC5557882
OpenAlexW2744351674

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.