Multi-trait and multi-environment QTL analysis reveals the impact of seed colour on seed composition traits in Brassica napus View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-08

AUTHORS

Bianyun Yu, Kerry Boyle, Wentao Zhang, Stephen J. Robinson, Erin Higgins, Lanette Ehman, Jo-Anne Relf-Eckstein, Gerhard Rakow, Isobel A. P. Parkin, Andrew G. Sharpe, Pierre R. Fobert

ABSTRACT

Brassica napus seed composition traits (fibre, protein, oil and fatty acid profiles), seed colour and yield-associated traits are regulated by a complex network of genetic factors. Although previous studies have attempted to dissect the underlying genetic basis for these traits, a more complete picture of the available quantitative trait loci (QTL) variation and any interaction between the different traits is required. In this study, QTL mapping for eleven seed composition traits, seed colour and a yield-related trait (TSW) was conducted in a spring-type canola-quality B. napus doubled haploid (DH) population from a cross between black-seeded (DH12075) and yellow-seeded (YN01-429) lines across five environments. A major QTL associated with fibre traits (acid detergent fibre, acid detergent lignin and neutral detergent fibre) and seed colour (whiteness index) was mapped on chromosome N9 across the five environments. Multi-trait analysis identified QTL which had pleiotropic effect for seed colour and other composition traits. Multi-environment analysis revealed genetic (QTL) × environment effects on most QTL. These findings provide a more detailed insight into the complex QTL networks controlling seed composition and yield-associated traits in canola-quality B. napus. More... »

PAGES

111

References to SciGraph publications

  • 2011-01. Genetic and correlation analysis of silique-traits in Brassica napus L. by quantitative trait locus mapping in THEORETICAL AND APPLIED GENETICS
  • 2011-04. The identification and mapping of candidate genes and QTL involved in the fatty acid desaturation pathway in Brassica napus in THEORETICAL AND APPLIED GENETICS
  • 2003-01. QTL analysis of an intervarietal set of substitution lines in Brassica napus: (i) Seed oil content and fatty acid composition in HEREDITY
  • 2012-02. Molecular mapping of Arabidopsis thaliana lipid-related orthologous genes in Brassica napus in THEORETICAL AND APPLIED GENETICS
  • 2013-10. Multi-trait and multi-environment QTL analyses of yield and a set of physiological traits in pepper in THEORETICAL AND APPLIED GENETICS
  • 1995-11. Mapping the genome of rapeseed (Brassica napus L.). II. Localization of genes controlling erucic acid synthesis and seed oil content in THEORETICAL AND APPLIED GENETICS
  • 2012. Multiple trait multiple interval mapping of quantitative trait loci from inbred line crosses in BMC GENETICS
  • 2013-03. Phenotypic diversity and association mapping for fruit quality traits in cultivated tomato and related species in THEORETICAL AND APPLIED GENETICS
  • 2005-01. Inheritance of seed colour and identification of RAPD and AFLP markers linked to the seed colour gene in rapeseed (Brassica napus L.) in THEORETICAL AND APPLIED GENETICS
  • 2010-02. Major and minor QTL and epistasis contribute to fatty acid compositions and oil concentration in high-oil maize in THEORETICAL AND APPLIED GENETICS
  • 2006-08. Mapping of the loci controlling oleic and linolenic acid contents and development of fad2 and fad3 allele-specific markers in canola (Brassica napus L.) in THEORETICAL AND APPLIED GENETICS
  • 2012-12. Multiple trait multiple interval mapping of quantitative trait loci from inbred line crosses in BMC GENETICS
  • 2007-10. Detection of QTL for six yield-related traits in oilseed rape (Brassica napus) using DH and immortalized F2 populations in THEORETICAL AND APPLIED GENETICS
  • 2006-09. Assessing the importance of genotype × environment interaction for root traits in rice using a mapping population II: conventional QTL analysis in THEORETICAL AND APPLIED GENETICS
  • 2006-12. A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content in THEORETICAL AND APPLIED GENETICS
  • 2011-10. Identification of two major QTL for yellow seed color in two crosses of resynthesized Brassica napus line No. 2127-17 in MOLECULAR BREEDING
  • 2006-06. Conditional QTL mapping of oil content in rapeseed with respect to protein content and traits related to plant development and grain yield in THEORETICAL AND APPLIED GENETICS
  • 2002-08. Characterization of the main effects, epistatic effects and their environmental interactions of QTLs on the genetic basis of yield traits in rice in THEORETICAL AND APPLIED GENETICS
  • 2012-03. Genetic characterization and fine mapping of a yellow-seeded gene in Dahuang (a Brassica rapa landrace) in THEORETICAL AND APPLIED GENETICS
  • 2010-09. Identification of QTL for oil content, seed yield, and flowering time in oilseed rape (Brassica napus) in EUPHYTICA
  • 2006-11. Genetic control of oil content in oilseed rape (Brassica napus L.) in THEORETICAL AND APPLIED GENETICS
  • 2008-01. Mapping QTL controlling fatty acid composition in a doubled haploid rapeseed population segregating for oil content in MOLECULAR BREEDING
  • 2012-08. Identification of FAD2 and FAD3 genes in Brassica napus genome and development of allele-specific markers for high oleic and low linolenic acid contents in THEORETICAL AND APPLIED GENETICS
  • 2012-08. Identification and mapping of a major dominant quantitative trait locus controlling seeds per silique as a single Mendelian factor in Brassica napus L. in THEORETICAL AND APPLIED GENETICS
  • 2012-05. A knockout mutation in the lignin biosynthesis gene CCR1 explains a major QTL for acid detergent lignin content in Brassica napus seeds in THEORETICAL AND APPLIED GENETICS
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    http://scigraph.springernature.com/pub.10.1007/s11032-016-0521-8

    DOI

    http://dx.doi.org/10.1007/s11032-016-0521-8

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    https://app.dimensions.ai/details/publication/pub.1018120959


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