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作物学报 ›› 2015, Vol. 41 ›› Issue (10): 1481-1489.doi: 10.3724/SP.J.1006.2015.01481

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

利用非条件和条件QTL解析油菜产量相关性状的遗传关系

焦聪聪1,2,黄吉祥2,汪义龙3,张晓玉4,2,熊化鑫1,2,倪西源2,赵坚义2,*   

  1. 1 浙江师范大学化学与生命科学学院, 浙江金华 321000；2 浙江农业科学院作物与核技术利用研究所, 浙江杭州 310021；3 上海捷瑞生物工程有限公司，上海 201619；4 杭州师范大学生命与环境科学学院，浙江杭州 310036
  • 收稿日期:2015-02-11 修回日期:2015-06-01 出版日期:2015-10-12 网络出版日期:2015-10-12
  • 通讯作者: 赵坚义，E-mail: jyzhao3@yahoo.com, Tel: 0571-86403406
  • 基金资助:

    本研究由国家高技术研究发展计划(863计划)项目(2011AA10A104)，浙江省重大科技专项(2012C12902-1)和浙江省旱作粮油科技创新团队项目(2011R50026-7)资助。

Genetic Analysis of Yield-Associated Traits by Unconditional and Conditional QTL in Brassica napus

JIAO Cong-Cong1,2,HUANG Ji-Xiang2,WANG Yi-Long3,ZHANG Xiao-Yu4,2,XIONG Hua-Xin1,2,NI Xi-Yuan2,ZHAO Jian-Yi2,*   

  1. 1 College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321000, China; 2 Institute of Crop and Nuclear Technology Utilization, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China; 3 Shanghai Generay Biotech Co., Ltd, Shanghai 201619, China; 4 College of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310036, China
  • Received:2015-02-11 Revised:2015-06-01 Published:2015-10-12 Published online:2015-10-12
  • Contact: 赵坚义，E-mail: jyzhao3@yahoo.com, Tel: 0571-86403406jiaodacong@126.comjiaodacong@126.com

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摘要：

基于前期研究中构建的Sollux/Gaoyou DH群体在9个环境中的表型数据和新版遗传图谱，对油菜角果长度进行QTL定位，估测QTL的加性、上位性和环境互作效应。并通过条件QTL方法，解析角果长度与角果粒数和粒重之间的遗传关系，以期利用标记辅助，探讨通过选择角果长度基因型以增加角果粒数、提高千粒重，最终达到增加产量的可能性。结果共检测到在3个环境以上稳定表达的控制角果长度QTL 8个，加性效应值在0.09~0.26 cm之间，效应总和解释群体遗传总变异的60%。8对上位性QTL效应值在0.035~0.075 cm之间，效应总和为加性总效应的38%。QTL与环境互作效应只在少数位点和个别环境中显著。条件QTL研究表明，qSLA2、qSLC1-2和qSLC8-1位点，角果长度的变化对角果粒数影响较大；而通过选择qSLA7、qSLC1-2、qSLC8-1和qSLC8-2长角果标记基因型，可望同时提高角果粒数和千粒重。6个主效QTL 11个连锁标记基因型和表现型的关联分析，验证了条件QTL分析结果，表明通过对qSLA2、qSLA7、qSLC8-1和qSLC8-2位点6个连锁标记(ZAAS423、SUC1-3、ZAAS12a、ZAASA7-28、ZAAS433和ZAAS437)长角果基因型的聚合，可增长角果约2 cm，间接增加角果粒数2粒，同时提高千粒重0.4 g，从而可望实质性地提高油菜产量水平。

关键词: 甘蓝型油菜, 角果长度, 角果粒数, 千粒重, 非条件QTL, 条件QTL

Abstract:

Quantitative Trait Loci (QTLs) for silique length (SL) were mapped in the updated SG map using the phenotypic data from nine environments. QTLs with additive and epistatic effects and their interactions with environments were estimated. At QTL level, conditional QTL analysis was performed to dissect the genetic relationships between silique length and seed number per silique (SS), and between silique length and 1000-seed weight (SW). Our goal was to identify QTLs that are important for silique length, as indexed by their positive correlations with either seeds per silique or 1000-seed weight, or both of the traits. Markers linked to the target QTL can be developed for indirect selection of SS and SW. As shown by the results, we detected eight QTLs with additive effects, which together accounted for around 60% of the phenotypic variations. While the total effects of eight pairs of epistatic loci (additive × additive) ranged from 0.035 to 0.075 cm and their summation was 38% of the total additive effects. QTL by environmental interactions were significant only in few environments with small amount of genetic effects. The conditional QTL analysis revealed large impact of silique length on seed number per silique in three QTLs (qSLA2, qSLC1-2, and qSLC8-1). Allelic selection for long silique length in qSLA7, qSLC1-2, qSLC8-1, and qSLC8-2 loci could potentially increase the seed number per silique (SS) and 1000-seed weight (SW). Association analysis between genotypes linking to six related QTLs and the corresponding phenotypes of yield related traits indicated that the combination of long silique alleles from four QTLs (qSLA2, qSLA7, qSLC8-1, and qSLC8-2) by marker assistant selection of ZAAS423, SUC1-3, ZAAS12a, ZAASA7-28, ZAAS433, and ZAAS437 significantly increased about two cm in silique length. Meanwhile, two additional seeds per silique were increased, and the 1000-seed weight was enhanced by 0.4 g. Taken together, we suggest the importance of these QTLs and markers for yield breeding purpose in Brassica napus.

Key words: Brassica napus L., Silique length, Seed number per silique, 1000-seed weight, Unconditional QTL, conditional QTL

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