4.6 Article

In silico integration of quantitative trait loci for seed yield and yield-related traits in Brassica napus

期刊

MOLECULAR BREEDING
卷 33, 期 4, 页码 881-894

出版社

SPRINGER
DOI: 10.1007/s11032-013-0002-2

关键词

Quantitative trait locus (QTL); Seed yield and yield-related traits; In silico mapping; Mining of genes underlying the QTLs; Brassica napus

资金

  1. National Natural Science Foundation of China [31260335]
  2. Research Fund for the Doctoral Program of Higher Education of China [20123603120002]
  3. Natural Science Foundation of Jiangxi province of China [20122BAB214018]
  4. Australian Research Council [DE120100668]
  5. Australian Research Council [DE120100668] Funding Source: Australian Research Council

向作者/读者索取更多资源

Mapping quantitative trait loci (QTLs) is a foundation for molecular marker-assisted selection and map-based gene cloning. During the past decade, numerous QTLs for seed yield (SY) and yield-related traits in Brassica napus L. have been identified. However, integration of these results in order to compare QTLs from different mapping populations has not been undertaken, due to the lack of common molecular markers between studies. Using previously reported Brassica rapa and Brassica oleracea genome sequences, we carried out in silico integration of 1,960 QTLs associated with 13 SY and yield-related traits from 15 B. napus mapping experiments over the last decade. A total of 736 SY and yield-related QTLs were mapped onto 283 loci in the A and C genomes of B. napus. These QTLs were unevenly distributed across the 19 B. napus chromosomes, with the most on chromosome A3 and the least on chromosome C6. Our integrated QTL map identified 142 loci where the conserved QTLs were detected and 25 multifunctional loci, mostly for the traits of flowering time (FT), plant height, 1,000-seed weight, maturity time and SY. These conserved QTLs and multifunctional loci may result from pleiotropism or clustered genes. At the same time, a total of 146 genes underlying the QTLs for FT and other yield-related traits were identified by comparative mapping with the Arabidopsis genome. These results facilitate the retrieval of B. napus SY and yield-related QTLs for research communities, increase the density of targeted QTL-linked markers, validate the existence of QTLs across different populations, and advance the fine mapping of genes.

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