Transferability and genome specificity of a new set of microsatellite primers among <i>Brassica</i> species of the U triangle

Lowe, Andrew J.; Jones, Alexandra M. E.; Raybould, Alan; Trick, Martin; Moule, Carolyn; Edwards, Keith J.

doi:10.1046/j.1471-8286.2002.00126.x

Cited by 86 publications

(56 citation statements)

References 19 publications

(18 reference statements)

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“…Two groups of SSR markers from different sources were used for polymorphism screening. The first group of SSR markers was selected from previously published papers (Lagercrantz et al 1993;Kresovich et al 1995;Szewc-McFadden et al 1996;Uzunova and Ecke 1999;Lowe et al 2002;Lowe et al 2004;Piquemal et al 2005;Suwabe et al 2006;Choi et al 2007;Hasan et al 2008; http://brassica.agr.gc.ca/index_e.shtml; http://ukcrop.net/ ace/search/BrassicaDB; http://www.osbornlab.agronomy. wisc.edu/research/maps/ssrs.html).…”

Section: Polymorphism Screening and Map Constructionmentioning

confidence: 99%

Identification of a major QTL for silique length and seed weight in oilseed rape (Brassica napus L.)

et al. 2012

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Silique length (SL) and seed weight (SW) are two important yield-related traits controlled by quantitative trait loci (QTL) in oilseed rape (Brassica napus L.). The genetic bases underlying these two traits are largely unknown at present. In this study, we conducted QTL analyses for SL and SW using 186 recombinant inbred lines (RILs) derived from a cross between S1, an EMS mutant with extremely long siliques and large seeds, and S2, an inbred line with regular silique length and seed size. RILs were grown in Wuhan in the 2008/09 (SS09) and 2009/10 (SS10) growing seasons, and mean SL and SW for each line were investigated. Ten non-redundant QTL were identified for SL. Of these, a major QTL, cqSLA9, consistently explained as much as 53.4% of SL variation across environments. The others are minor QTL and individually explained less than 10% of the SL variation. Nine non-redundant QTL were identified for SW. Of which, one major QTL, cqSWA9, explained as much as 28.2% of the total SW variation in the SS09 and SS10 environments. In addition, three additive by additive interactions with small effects were detected for SL, and no interactions were detected for SW. Interestingly, the two major QTL, cqSLA9 for SL and cqSWA9 for SW colocalized in the same chromosomal region and were integrated into a unique QTL, uqA9. The S1 allele at this locus increases both SL and SW, suggesting that uqA9 has pleiotropic effects on both SL and SW. The existence and effect of uqA9 was confirmed in genetically different RILs derived from the cross between S1 and No2127, a resynthesized DH line having regular silique length and seed size. Individuals in one residual heterozygous line for cqSLA9 showed significant difference in silique length. The results in this study revealed that silique length in the S1 mutant is mainly controlled by the cqSLA9 locus, which will be suitable for fine mapping and marker-assisted selection in rapeseed breeding for high yield.

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Section: Polymorphism Screening and Map Constructionmentioning

confidence: 99%

Identification of a major QTL for silique length and seed weight in oilseed rape (Brassica napus L.)

et al. 2012

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“…Furthermore, 651 previously developed SSR primer pairs were used as potential anchor markers to facilitate crossreferencing with other mapping studies. Primer pairs with the prefix "MB" were developed by Lagercrantz et al (1993), "MR" by Uzunova and Ecke (1999), "BRAS" and "CB" by Piquemal et al (2005), "Ra", "Ol", Na" and "Ni" by Lagercrantz et al (1993) and Lowe et al (2002Lowe et al ( , 2004, "BRMS" by Suwabe et al (2002Suwabe et al ( , 2006, "BrFLC" by Kim et al (2006), "ENA", "nia" and "cnu" by Choi et al (2007) and by Kim et al (2009), "BnGMS" by Cheng et al (2009) and FITO markers were obtained by Iniguez-Luy et al (2008).…”

Section: Ugms and Ssr Genotypingmentioning

confidence: 99%

Development and linkage mapping of unigene-derived microsatellite markers in Brassica rapa L.

Ramchiary

Wang

et al. 2011

Breed. Sci.

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Brassica rapa plants are highly important as vegetables, sources of oilseeds and fodder crop. Here, we developed 450 unigene derived microsatellite (UGMS) markers in B. rapa using unigenes downloaded from the National Center for Biotechnology Information database. Of the 450 UGMS primer pairs, 428 (95.1%) produced repeatable and reliable amplifications of expected size in at least one parental line of B. rapa, and 70 UGMS markers gave 72 polymorphic loci between the two contrasting parental lines. Cross-species transferability analysis of these 70 polymorphic UGMS markers in five other cultivated Brassica species showed varying transferability rates ranging from 82.9% in B. nigra to 97.1% in B. juncea and B. napus, and overall 53 UGMS markers amplified targets in all five species. The B. rapa linkage map was constructed using the 72 UGMS polymorphic loci and 154 previously developed SSRs. The newly developed UGMS markers and linkage map in this study would help in future studies to better understand the organization and evolution of Brassica genomes with respect to unigenes, in addition to mapping, tagging and cloning of economically important trait QTL/gene(s) and marker-assisted breeding in Brassica crops.

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“…One group was developed by our group, prefixed by "BnEMS", "BnGMS", "BrGMS", and "BoGMS" (Cheng et al 2009;Xu et al 2010;Li et al 2011;Wang et al 2012). The other group was obtained from the previously published studies, prefixed by "Ra", "Ol", "Na", and "Ni" (Lagercrantz et al 1993;Lowe et al 2002Lowe et al , 2004; http://ukcrop.net/ace/ search/BrassicaDB), "BRAS" and "CB" (Piquemal et al 2005), "sN", "sR", and "sS" (http://brassica.agr.gc.ca/ index_e.shtml), "BRMS" (Suwabe et al 2002), "BN" (Kresovich et al 1995;Szewc-McFadden et al 1996), "nia", and "cnu" (Choi et al 2007) and "FITO" (http:// www.osbornlab.agronomy.wisc.edu/research/maps/ssrs. html).…”

Section: Molecular Marker Assays and Linkage Map Constructionmentioning

confidence: 99%

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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Transferability and genome specificity of a new set of microsatellite primers among Brassica species of the U triangle

Cited by 86 publications

References 19 publications

Identification of a major QTL for silique length and seed weight in oilseed rape (Brassica napus L.)

Identification of a major QTL for silique length and seed weight in oilseed rape (Brassica napus L.)

Development and linkage mapping of unigene-derived microsatellite markers in Brassica rapa L.

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

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