Development of a population for substantial new type Brassica napus diversified at both A/C genomes

Xiao, Yong; Chen, Lunlin; Zou, Jun; Tian, Entang; Xia, Wei; Meng, Jianghong

doi:10.1007/s00122-010-1378-6

Cited by 41 publications

(47 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…rapa and B . carinata accessions [55, 56]. The prediction accuracy in this independent and genetically very distinct validation population still amounted to 0.14 for protein content and 0.17 for oil content.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Seed Quality Traits Can Be Predicted with High Accuracy in Brassica napus Using Genomic Data

et al. 2016

Self Cite

View full text Add to dashboard Cite

Improving seed oil yield and quality are central targets in rapeseed (Brassica napus) breeding. The primary goal of our study was to examine and compare the potential and the limits of marker-assisted selection and genome-wide prediction of six important seed quality traits of B. napus. Our study is based on a bi-parental population comprising 202 doubled haploid lines and a diverse validation set including 117 B. napus inbred lines derived from interspecific crosses between B. rapa and B. carinata. We used phenotypic data for seed oil, protein, erucic acid, linolenic acid, stearic acid, and glucosinolate content. All lines were genotyped with a 60k SNP array. We performed five-fold cross-validations in combination with linkage mapping and four genome-wide prediction approaches in the bi-parental population. Quantitative trait loci (QTL) with large effects were detected for erucic acid, stearic acid, and glucosinolate content, blazing the trail for marker-assisted selection. Despite substantial differences in the complexity of the genetic architecture of the six traits, genome-wide prediction models had only minor impacts on the prediction accuracies. We evaluated the effects of training population size, marker density and phenotyping intensity on the prediction accuracy. The prediction accuracy in the independent and genetically very distinct validation set still amounted to 0.14 for protein content and 0.17 for oil content reflecting the utility of the developed calibration models even in very diverse backgrounds.

show abstract

Section: Discussionmentioning

confidence: 99%

“…rapa and B . carinata accessions [55, 56]. The validation population was grown in one semi-winter environment (Wuhan, China) in 2013–2014 in a trial with three replicates.…”

Section: Methodsmentioning

confidence: 99%

Seed Quality Traits Can Be Predicted with High Accuracy in Brassica napus Using Genomic Data

et al. 2016

Self Cite

View full text Add to dashboard Cite

show abstract

“…Microsatellite markers are generally co-dominant and high polymorphic, and are widely used for constructing genetic maps, diversity analysis and quantitative trait locus mapping (Qiu et al, 2006; Xiao et al, 2010; Zhang et al, 2012; Xia et al, 2014). Due to lack of selection pressure on these non-coding sequences, microsatellites are generally regarded as neutral genetic markers.…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Identification and Transferability of Microsatellite Markers between Palmae Species

Xiao

Xia

et al. 2016

Front. Plant Sci.

Self Cite

View full text Add to dashboard Cite

The Palmae family contains 202 genera and approximately 2800 species. Except for Elaeis guineensis and Phoenix dactylifera, almost no genetic and genomic information is available for Palmae species. Therefore, this is an obstacle to the conservation and genetic assessment of Palmae species, especially those that are currently endangered. The study was performed to develop a large number of microsatellite markers which can be used for genetic analysis in different Palmae species. Based on the assembled genome of E. guineensis and P. dactylifera, a total of 814 383 and 371 629 microsatellites were identified. Among these microsatellites identified in E. guineensis, 734 509 primer pairs could be designed from the flanking sequences of these microsatellites. The majority (618 762) of these designed primer pairs had in silico products in the genome of E. guineensis. These 618 762 primer pairs were subsequently used to in silico amplify the genome of P. dactylifera. A total of 7 265 conserved microsatellites were identified between E. guineensis and P. dactylifera. One hundred and thirty-five primer pairs flanking the conserved SSRs were stochastically selected and validated to have high cross-genera transferability, varying from 16.7 to 93.3% with an average of 73.7%. These genome-wide conserved microsatellite markers will provide a useful tool for genetic assessment and conservation of different Palmae species in the future.

show abstract

“…The cytological relationships and genomic homology among the species provide a major opportunity to generate novel Brassica germplasms, or even novel species, such as Brassica hexaploids, via interspecific hybridization in Brassica (Chen et al, 2011; Mason and Batley, 2015). To improve the major rapeseed species, B. napus , extensive and successful efforts have been made to broaden the genetic basis, and introduce several specific traits from related species (Prakash and Raut, 1983; Meng et al, 1998; Ren et al, 2000; Xiao et al, 2010; Girke et al, 2012a,b; Li et al, 2014). Utilizing the subgenomic differentiation within and between Brassica species would also be helpful to broaden the genetic base of B. juncea and explore inter-subgenomic heterosis.…”

Section: Introductionmentioning

confidence: 99%

Introgressing Subgenome Components from Brassica rapa and B. carinata to B. juncea for Broadening Its Genetic Base and Exploring Intersubgenomic Heterosis

Wei¹,

Wang²,

Chang³

et al. 2016

Front. Plant Sci.

Self Cite

View full text Add to dashboard Cite

Brassica juncea (AjAjBjBj), is an allotetraploid that arose from two diploid species, B. rapa (ArAr) and B. nigra (BnBn). It is an old oilseed crop with unique favorable traits, but the genetic improvement on this species is limited. We developed an approach to broaden its genetic base within several generations by intensive selection. The Ar subgenome from the Asian oil crop B. rapa (ArAr) and the Bc subgenome from the African oil crop B. carinata (BcBcCcCc) were combined in a synthesized allohexaploid (ArArBcBcCcCc), which was crossed with traditional B. juncea to generate pentaploid F1 hybrids (ArAjBcBjCc), with subsequent self-pollination to obtain newly synthesized B. juncea (Ar/jAr/jBc/jBc/j). After intensive cytological screening and phenotypic selection of fertility and agronomic traits, a population of new-type B. juncea was obtained and was found to be genetically stable at the F6 generation. The new-type B. juncea possesses good fertility and rich genetic diversity and is distinctly divergent but not isolated from traditional B. juncea, as revealed by population genetic analysis with molecular markers. More than half of its genome was modified, showing exotic introgression and novel variation. In addition to the improvement in some traits of the new-type B. juncea lines, a considerable potential for heterosis was observed in inter-subgenomic hybrids between new-type B. juncea lines and traditional B. juncea accessions. The new-type B. juncea exhibited a stable chromosome number and a novel genome composition through multiple generations, providing insight into how to significantly broaden the genetic base of crops with subgenome introgression from their related species and the potential of exploring inter-subgenomic heterosis for hybrid breeding.

show abstract

Development of a population for substantial new type Brassica napus diversified at both A/C genomes

Cited by 41 publications

References 38 publications

Seed Quality Traits Can Be Predicted with High Accuracy in Brassica napus Using Genomic Data

Seed Quality Traits Can Be Predicted with High Accuracy in Brassica napus Using Genomic Data

Genome-Wide Identification and Transferability of Microsatellite Markers between Palmae Species

Introgressing Subgenome Components from Brassica rapa and B. carinata to B. juncea for Broadening Its Genetic Base and Exploring Intersubgenomic Heterosis

Contact Info

Product

Resources

About