Evidence map›Paper›PMID 23892600›Full record

ArticleInternational journal of molecular sciences2013

Genetic analysis of health-related secondary metabolites in a Brassica rapa recombinant inbred line population.

Hedayat Bagheri, Mohamed El-Soda, Hye Kyong Kim, Steffi Fritsche, Christian Jung, Mark G M Aarts

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 13 citations in OpenAlex.

  1. 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 5 institutions in 4 countries.

Hedayat BagheriLaboratory of Genetics, Wageningen University, Wageningen, 6700 AH, The Netherlands. bagheri.hedayat@gmail.com
Mohamed El-Soda
Hye Kyong Kim
Steffi Fritsche
Christian Jung
Mark G M Aarts
Christian-Albrechts-Universität zu Kiel · DEBu-Ali Sina University · IRCairo University · EGLeiden University · NLWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic basis of the wide variation for nutritional traits in Brassica rapa is largely unknown. A new Recombinant Inbred Line (RIL) population was profiled using High Performance Liquid Chromatography (HPLC) and Nuclear Magnetic Resonance (NMR) analysis to detect quantitative trait loci (QTLs) controlling seed tocopherol and seedling metabolite concentrations. RIL population parent L58 had a higher level of glucosinolates and phenylpropanoids, whereas levels of sucrose, glucose and glutamate were higher in the other RIL population parent, R-o-18. QTL related to seed tocopherol (α-, β-, γ-, δ-, α-⁄γ- and total tocopherol) concentrations were detected on chromosomes A3, A6, A9 and A10, explaining 11%-35% of the respective variation. The locus on A3 co-locates with the BrVTE1gene, encoding tocopherol cyclase. NMR spectroscopy identified the presence of organic/amino acid, sugar/glucosinolate and aromatic compounds in seedlings. QTL positions were obtained for most of the identified compounds. Compared to previous studies, novel loci were found for glucosinolate concentrations. This work can be used to design markers for marker-assisted selection of nutritional compounds in B. rapa.

Indexed as

Brassica rapaGenetic MarkersGenetic VariationGlucoseGlucosinolatesGlutamic AcidInbreedingIntramolecular TransferasesNutritive ValueQuantitative Trait LociSecondary MetabolismSeedsSucroseTocopherolsGenetic MarkersGlucoseGlucosinolatesGlutamic AcidIntramolecular TransferasesSucrosetocopherol cyclaseTocopherols

Identifiers

PMID23892600
PMCPMC3759873
OpenAlexW2139507362

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.