中国农业科学 (Scientia Agricultura Sinica

Semimonthly,Since 1960 
ISSN 0578-1752
CN 11-1328/S

Scientia Agricultura Sinica (中国农业科学), founded in 1960, is superintended by Ministry of Agriculture of China and sponsored by the Chinese Academy of Agricultural Sciences (CAAS), co-sponsored by Chinese Association of Agricultural Science Societies (CAASS). Prof. Li Jiayang is Chairman of the Board, and Prof. WAN Jianmin is Editor-in-Chief. Scientia Agricultura Sinica is a leading peer-reviewed and multi-disciplinary journal and published semi-monthly in Chinese with English title, abstract, Figures, Tables and references.

Those papers published in Scientia Agricultura Sinica display the whole agricultural research level of China, with the rigorous double-blind peer-review system, hence reflecting the latest advances on agricultural research in China, and exerting international influence on global agriculture.

Current Issue:

2017, Vol50 No.(17)   Published: 01 September 2017

QTL Mapping and Integration as well as Candidate Genes Identification for Plant Height in Rapeseed (Brassica napus L.) Hot!
ZHANG JiangJiang, ZHAN JiePeng, LIU QingYun, SHI JiaQin, WANG XinFa, LIU GuiHua, WANG HanZhong
2017, 50(17): 3247-3258 | doi: 10.3864/j.issn.0578-1752.2017.17.001
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【Objective】 In order to reveal the genetic architecture and candidate genes for plant height in rapeseed, QTLs were mapped in multiple environments and were integrated with previously reported plant height QTLs and then aligned with the plant height genes, which will provide a basis for the molecular improvement of plant height in rapeseed. 【Method】 The BnaZNF2 population of 184 individuals derived from the elite rapeseed cultivar Zhongshuang11 (de novo sequencing) and No.73290 (re-sequencing) was used as the experimental material. First, the BnaZNF2 population was subjected to genotype analysis and a high-density linkage map of 803 molecular markers was constructed using Joinmap 4.0. Second, the F2:3 and F2:4 family of BnaZNF2 population were planted and phenotyped at two locations (Wuhan and Xining) for successive two years (2010 and 2011). Then QTL mapping was conducted by the composite interval mapping method incorporated into WinQTLCart 2.5 software, using the genotype of BnaZNF2 population and the plant height phenotype of its F2:3 and F2:4 family. 【Result】 After integration of QTLs detected in two locations over two years, a total of 5 consensus QTLs (qPH.A2-1, qPH.A2-2, qPH.C2-1, qPH.C3-1, qPH.C3-2) were obtained, which were distributed on A2, C2 and C3 chromosomes and, explained 2.6%-55.6% of the phenotypic variance. A major QTL on the C2 chromosome, qPH.C2-1, was only detected repeatedly in Xining and its LOD value, additive effect and R2 (23.4, -16.0 and 55.6%, respectively) were largest among all of the reported plant height QTLs. Based on the physical map of rapeseed, all of the currently and previously reported plant height QTLs in rapeseed were integrated and then aligned with the plant height genes, which revealed a relatively completed genetic architecture map consisting of 183 QTLs in rapeseed and 287 candidate genes in rapeseed. Of these, a total of 18 QTL cluster were commonly detected in different studies, which were distributed on A1, A2, A3, A6, A7, A9, C6 and C7 chromosomes. In addition, the physical positions of the five QTL detected in the current study were all not overlapped with those of the previously detected plant height QTL, which should be novel. A total of 15 homologues of plant height genes were found within the physical intervals of qPH.A2-2, qPH.C3-1 and qPH.C3-2, of which 11 homologues showed sequence variations between the two parents, which were chosen as the candidates for further study. 【Conclusion】 QTL mapping and integration identified five QTL for plant height in rapeseed, which were all novel. The effect of the major QTL on the C2 chromosome was larger than those of the previously reported plant height QTL, which also showed the strong interaction with the environment. The integration of the reported plant height QTLs and the alignment with the plant height genes systematically revealed the genetic architecture and candidate genes for plant height in rapeseed. By bioinformatics analysis, a total of 11 candidates were identified within the physical intervals of three plant height QTLs detected in the current study.