Evidence map›Paper›PMID 24066707›Full record

ArticleBMC plant biology2013

Construction of a genetic linkage map and QTL analysis of erucic acid content and glucosinolate components in yellow mustard (Sinapis alba L.).

Farzad Javidfar, Bifang Cheng

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Article in BMC plant biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 25 citations in OpenAlex.

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  7. Sustainable Use of Bioactive Compounds fromMolecules (Basel, Switzerland) · 2021
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  13. Development of genic cleavage markers in association with seed glucosinolate content in canola.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2015
    Article
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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

2 authors at 1 institution in 1 country.

Farzad JavidfarAgriculture and Agri-Food Canada, Saskatoon Research Centre, 107 Science Place, S7N 0X2 Saskatoon, SK, Canada. bifang.cheng@agr.gc.ca.
Bifang Cheng
Agriculture and Agri-Food Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYellow mustard (Sinapis alba L.) is an important condiment crop for the spice trade in the world. It has lagged behind oilseed Brassica species in molecular marker development and application. Intron length polymorphism (ILP) markers are highly polymorphic, co-dominant and cost-effective. The cross-species applicability of ILP markers from Brassica species and Arabidopsis makes them possible to be used for genetic linkage mapping and further QTL analysis of agronomic traits in yellow mustard.

resultsA total of 250 ILP and 14 SSR markers were mapped on 12 linkage groups and designated as Sal01-12 in yellow mustard. The constructed map covered a total genetic length of 890.4 cM with an average marker interval of 3.3 cM. The QTL for erucic content co-localized with the fatty acid elongase 1 (FAE1) gene on Sal03. The self-(in)compatibility gene was assigned to Sal08. The 4-hydroxybenzyl, 3-indolylmethyl and 4-hydroxy-3-indolylmethyl glucosinolate contents were each controlled by one major QTL, all of which were located on Sal02. Two QTLs, accounting for the respective 20.4% and 19.2% of the total variation of 2-hydroxy-3-butenyl glucosinolate content, were identified and mapped to Sal02 and Sal11. Comparative synteny analysis revealed that yellow mustard was phylogenetically related to Arabidopsis thaliana and had undergone extensive chromosomal rearrangements during speciation.

conclusionThe linkage map based on ILP and SSR markers was constructed and used for QTL analysis of seed quality traits in yellow mustard. The markers tightly linked with the genes for different glucosinolate components will be used for marker-assisted selection and map-based cloning. The ILP markers and linkage map provide useful molecular tools for yellow mustard breeding.

Indexed as

Chromosome MappingErucic AcidsGlucosinolatesQuantitative Trait LociSinapiserucic acidErucic AcidsGlucosinolates

Identifiers

PMID24066707
PMCPMC3849295
OpenAlexW2121343218

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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.