Literature DB >> 24947439

Genome-wide investigation of genetic changes during modern breeding of Brassica napus.

Nian Wang1, Feng Li, Biyun Chen, Kun Xu, Guixin Yan, Jiangwei Qiao, Jun Li, Guizhen Gao, Ian Bancroft, Jingling Meng, Graham J King, Xiaoming Wu.   

Abstract

KEY MESSAGE: Considerable genome variation had been incorporated within rapeseed breeding programs over past decades. In past decades, there have been substantial changes in phenotypic properties of rapeseed as a result of extensive breeding effort. Uncovering the underlying patterns of allelic variation in the context of genome organisation would provide knowledge to guide future genetic improvement. We assessed genome-wide genetic changes, including population structure, genetic relatedness, the extent of linkage disequilibrium, nucleotide diversity and genetic differentiation based on F ST outlier detection, for a panel of 472 Brassica napus inbred accessions using a 60 k Brassica Infinium® SNP array. We found genetic diversity varied in different sub-groups. Moreover, the genetic diversity increased from 1950 to 1980 and then remained at a similar level in China and Europe. We also found ~6-10 % genomic regions revealed high F ST values. Some QTLs previously associated with important agronomic traits overlapped with these regions. Overall, the B. napus C genome was found to have more high F ST signals than the A genome, and we concluded that the C genome may contribute more valuable alleles to generate elite traits. The results of this study indicate that considerable genome variation had been incorporated within rapeseed breeding programs over past decades. These results also contribute to understanding the impact of rapeseed improvement on available genome variation and the potential for dissecting complex agronomic traits.

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Year:  2014        PMID: 24947439     DOI: 10.1007/s00122-014-2343-6

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  52 in total

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3.  A simple method for estimating average number of nucleotide substitutions within and between populations from restriction data.

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5.  Analysis of QTLs for erucic acid and oil content in seeds on A8 chromosome and the linkage drag between the alleles for the two traits in Brassica napus.

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6.  Patterns of molecular variation in a species-wide germplasm set of Brassica napus.

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7.  Genomewide SNP variation reveals relationships among landraces and modern varieties of rice.

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Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-13       Impact factor: 11.205

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9.  Broadening the Genetic Basis of Verticillium longisporum Resistance in Brassica napus by Interspecific Hybridization.

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10.  Assessment of FAE1 polymorphisms in three Brassica species using EcoTILLING and their association with differences in seed erucic acid contents.

Authors:  Nian Wang; Lei Shi; Fang Tian; Huicai Ning; Xiaoming Wu; Yan Long; Jinling Meng
Journal:  BMC Plant Biol       Date:  2010-07-01       Impact factor: 4.215

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  21 in total

1.  A genome-wide association study reveals novel elite allelic variations in seed oil content of Brassica napus.

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3.  Single trait versus principal component based association analysis for flowering related traits in pigeonpea.

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4.  Characterizing Variation of Branch Angle and Genome-Wide Association Mapping in Rapeseed (Brassica napus L.).

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5.  A Genome-Wide Association Study Reveals New Loci for Resistance to Clubroot Disease in Brassica napus.

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6.  Breeding signature of combining ability improvement revealed by a genomic variation map from recurrent selection population in Brassica napus.

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7.  Transcriptome Analysis of Interspecific Hybrid between Brassica napus and B. rapa Reveals Heterosis for Oil Rape Improvement.

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8.  Sub-genomic selection patterns as a signature of breeding in the allopolyploid Brassica napus genome.

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9.  Association Mapping of Flowering Time QTLs and Insight into Their Contributions to Rapeseed Growth Habits.

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Journal:  Front Plant Sci       Date:  2016-03-24       Impact factor: 5.753

10.  Evaluation of Linkage Disequilibrium Pattern and Association Study on Seed Oil Content in Brassica napus Using ddRAD Sequencing.

Authors:  Zhikun Wu; Bo Wang; Xun Chen; Jiangsheng Wu; Graham J King; Yingjie Xiao; Kede Liu
Journal:  PLoS One       Date:  2016-01-05       Impact factor: 3.240

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