QTL analysis of an intervarietal set of substitution lines in Brassica napus: (i) Seed oil content and fatty acid composition

Burns, M. J.; Barnes, Stephen R.; Bowman, J. G. P.; Clarke, Matthew; Werner, Christian; Kearsey, M. J.

doi:10.1038/sj.hdy.6800176

Cited by 141 publications

(138 citation statements)

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“…In Arabidopsis, mutagenesis experiments facilitated the identification of genes responsible for fatty acid elongation and desaturation (James and Dooner, 1990;Lemieux et al, 1990;Arondel et al, 1993;Okuley et al, 1994;James et al, 1995). Since then, QTL affecting fatty acid composition that colocate with loci for fatty acid elongase and fatty acid desaturase genes have been identified in Brassica species, sunflower, and maize (Alrefai et al, 1995;Ecke et al, 1995;Jourdren et al, 1996;Cheung et al, 1998;Fourmann et al, 1998;Lionneton et al, 2002;Perez-Vich et al, 2002;Burns et al, 2003;Mikkilineni and Rocheford, 2003).…”

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confidence: 99%

“…With the advent of molecular markers and the development of quantitative trait loci (QTL) mapping procedures, genes that control storage lipid synthesis can be identified and marker-assisted selection used to move beneficial QTL alleles into elite agricultural genotypes in oilseed breeding programs (Lande and Thompson, 1990). QTL analyses of oil content have been made in a number of crops, including oilseed rape (Brassica napus; Ecke et al, 1995;Burns et al, 2003), soybean (Glycine max; Lee et al, 1996;Csanadi et al, 2001), maize (Zea mays; Alrefai et al, 1995), and sunflower (Helianthus annuus; Mokrani et al, 2002;Leon et al, 2003). An analysis of groat oil content in oats revealed the presence of a small number of QTLs and an association between the major QTL and the plastidic acetyl-CoA carboxylase gene (Kianian et al, 1999).…”

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Genetic Control of Storage Oil Synthesis in Seeds of Arabidopsis

2004

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Quantitative trait loci (QTL) that control seed oil content and fatty acid composition were studied using a recombinant inbred population derived from a cross between the Arabidopsis ecotypes Landsberg erecta and Cape Verdi Islands. Multiple QTL model mapping identified two major and two minor QTL that account for 43% of the variation in oil content in the population. The most significant QTL is at the bottom of chromosome 2 and accounts for 17% of the genetic variation. Two other significant QTL, located on the upper and lower arms of chromosome 1, account for a further 19% of the genetic variation. A QTL near to the top of chomosome 3 is epistatic to that on the upper arm of chromosome 1. There are strong QTL for linoleic (18:2) and linolenic (18:3) acids contents that colocate with the FAD3 locus, another for oleic acid (18:1) that colocates with FAD2 and other less significant QTL for palmitic (16:0), stearic (18:0), and eicosaenoic (20:1) acids. The presence of the QTL for seed oil content on chromosome 2 was confirmed by the generation of lines that contain a 22-cM region of Landsberg erecta DNA at the bottom of chromosome 2 in a background containing Cape Verdi Islands in other regions of the genome that had been shown to influence oil content in the QTL analysis.

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Genetic Control of Storage Oil Synthesis in Seeds of Arabidopsis

2004

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“…However, most of these QTL showed very small additive effects and could not be repeatedly detected across different studies. In addition, it appeared to be suggested that erucic acid content is an important determinant of seed oil content in oilseed rape (Burns et al 2003;Qiu et al 2006). It has been also revealed that oil content was mainly controlled by a large number of alleles with small additive effects in other crops, such as maize (Song et al 2004;Zhang et al 2008;Yang et al 2009) and soybean (Hyten et al 2004).…”

Section: Introductionmentioning

confidence: 99%

“…Most of this research has been carried out using doubled haploid (DH) populations, including DY ('Darmor-bzh' × 'Yudal') and RNSL ('Rapid' × 'NSL96/25') (Delourme et al 2006), TN ('Tapidor' × 'Ningyou7') (Qiu et al 2006;Jiang et al 2014), SG ('Sollux' × 'Gaoyou') (Zhao et al 2005(Zhao et al , 2006(Zhao et al , 2008(Zhao et al , 2012, Z5 ('ZY036' × '51070') (Sun et al 2012), and KN ('KenC-8' × 'N53-2') populations. Meanwhile, only a few studies based on recombinant inbred line (RIL) population ) and intervarietal subsets of substitution lines (Burns et al 2003) have been performed. Most of these studies exhibited only a slight difference in oil content between two parents.…”

Section: Introductionmentioning

confidence: 99%

“…Some efforts have been made in quantitative trait loci (QTL) mapping for oil content in rapeseed (Ecke et al 1995;Burns et al 2003;Zhao et al 2005Zhao et al , 2006Zhao et al , 2008Zhao et al , 2012Delourme et al 2006;Qiu et al 2006;Sun et al 2012;Wang et al 2013;Jiang et al 2014) that shed light on dissecting the genetic mechanism of oil content and provide a theoretical basis to develop effective breeding methods. Most of this research has been carried out using doubled haploid (DH) populations, including DY ('Darmor-bzh' × 'Yudal') and RNSL ('Rapid' × 'NSL96/25') (Delourme et al 2006), TN ('Tapidor' × 'Ningyou7') (Qiu et al 2006;Jiang et al 2014), SG ('Sollux' × 'Gaoyou') (Zhao et al 2005(Zhao et al , 2006(Zhao et al , 2008(Zhao et al , 2012, Z5 ('ZY036' × '51070') (Sun et al 2012), and KN ('KenC-8' × 'N53-2') populations.…”

Section: Introductionmentioning

confidence: 99%

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Identification of quantitative trait loci associated with oil content and development of near isogenic lines for stableqOC-A10inBrasscia napusL.

et al. 2016

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Seed oil content is a key seed quality trait determining the economic value of rapeseed (Brassica napus L.). However, it is a complex quantitative trait controlled by multiple genes. To this point, its genetic mechanism in rapeseed remains to be revealed. In the present study, we separately identified the quantitative trait loci (QTL) controlling seed oil content of B. napus using three generations of recombinant inbred line (RIL) populations (F 4:5 , F 5:6 , and F 6:7 ) derived from a cross of two contrasting parents (M201, a high-oil parent, and M202, a low-oil parent) in four trials. The results indicated that the additive effects may be the primary factors contributing to the variation in seed oil content in B. napus. A total of 15 QTL for seed oil content were mapped. Two of them, namely qOC-A9-3 and qOC-A10, were consistently detected across two and all four environments, respectively. Meanwhile, qOC-A10 showed a large effect on phenotypic variation in seed oil content. The stability and significance of qOC-A10 was also validated in the near isogenic lines (NILs-qOC-A10) developed from the RIL population (F 4:5 ) using marker-assisted selection. The qOC-A10 is of particular interest for further fine mapping and map-based cloning.Key words: Brassica napus L., quantitative trait loci, oil content, additive genetic effect, SSR marker.Résumé : La teneur en huile de la graine est un caractère crucial de la qualité qui détermine la valeur économique du colza (Brassica napus L.). Il s'agit néanmoins d'un caractère quantitatif complexe, car de multiples gènes le régulent. Jusqu'à présent, ce mécanisme génétique du colza nous échappait. Dans la présente étude, les auteurs ont identifié séparément les locus quantitatifs (QTL) qui commandent la concentration d'huile dans la graine de B. napus grâce à trois populations (F 4:5 , F 5:6 , et F 6:7 ) de lignées autogames recombinantes (RIL) issues d'un croisement entre deux parents contrastants (à savoir, M201, une variété riche en huile, et M202, une variété pauvre en huile), au terme de quatre essais. Les résultats indiquent que des effets additifs pourraient principalement être à l'origine de la teneur en huile variable des graines de B. napus. Ils ont cartographié 15 QTL régulant la concentration d'huile dans la graine. Deux, en l'occurrence qOC-A9-3 et qOC-A10, ont constamment été détectés respectivement dans deux et les quatre situations. Parallèlement, qOC-A10 a une profonde incidence sur la variation phénotypique de la teneur en huile. La stabilité et l'importance de qOC-A10 ont également été validées par les lignées quasi isogéniques (NILs-qOC-A10) obtenues de la population (F 4:5 ) des RIL après sélection avec des marqueurs. Le locus qOC-A10 revêt un intérêt particulier en vue d'une cartographie plus précise du génome et du clonage à partir de la carte génétique. [Traduit par la Rédaction] Mots-clés : Brassica napus L., locus quantitatif, teneur en huile, effet additif des gènes, marqueur SSR.

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Regulation and enhancement of lipid accumulation in oil crops: The use of metabolic control analysis for informed genetic manipulation

Harwood

Ramli

Tang

et al. 2013

Euro J Lipid Sci & Tech

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Plant oils are a very valuable agricultural commodity. They are currently mainly used (>80%) for food and animal feed but, increasingly, they have utility as renewable sources of industrial feedstocks or biofuel. Because of finite agricultural land, the best way to increase availability (in order to match demand) is by improving productivity. To do this requires a knowledge of metabolism and its regulation. Various methods have been used to provide information but only systems biology can yield quantitative data about complete metabolic pathways. We have used metabolic control analysis to provide information about major oil crops such as oilseed rape, oil palm, olive, and soybean. Such knowledge has then been used to inform genetic manipulation for crop improvement.Abbreviations: MCA, metabolic control analysis; QTL, quantitative trait loci Eur.

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QTL analysis of an intervarietal set of substitution lines in Brassica napus: (i) Seed oil content and fatty acid composition

Cited by 141 publications

References 24 publications

Genetic Control of Storage Oil Synthesis in Seeds of Arabidopsis

Genetic Control of Storage Oil Synthesis in Seeds of Arabidopsis

Identification of quantitative trait loci associated with oil content and development of near isogenic lines for stableqOC-A10inBrasscia napusL.

Regulation and enhancement of lipid accumulation in oil crops: The use of metabolic control analysis for informed genetic manipulation

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