Genetic dissection of seed oil and protein content and identification of networks associated with oil content in Brassica napus.
Genetic dissection of seed oil and protein content and identification of networks associated with oil content in Brassica napus.
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DOI：
10.1038/srep46295
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发表时间：
2017-04-10
影响因子：
4.6
通讯作者：
Li M
中科院分区：
文献类型：
--
作者：
Chao H;Wang H;Wang X;Guo L;Gu J;Zhao W;Li B;Chen D;Raboanatahiry N;Li M
高密度的连锁图谱可以提高QTL定位的精度。以甘蓝型油菜KenC-8 × N53-2（KNDH）群体为材料，构建了一张包含3207个标记、覆盖3072.7cM的高密度SNP连锁图谱。共检测到67个和38个与种子油分和蛋白质含量相关的QTL，平均可信区间分别为5.26和4.38 cM，分别解释了22.24%和27.48%的表型变异。BSA中38个相关基因组区域与SOC-QTL重叠或缩小，进一步证实了基于高密度连锁图的QTL定位结果。分别鉴定和分析了与SOC和SPC相关的酰基脂质和种子贮藏相关的潜在候选物，其中6个被检查，并显示在不同胚胎发育时期两个亲本之间的表达差异。构建了基于SOC和SPC-QTL潜在候选者的大型主要碳水化合物途径，以及基于SOC-QTL潜在候选者的相互作用网络，以分别剖析基于代谢和基因调控特征的复杂机制。基于高密度连锁图和BSA分析的精确QTL定位和潜在候选者的鉴定为油菜种子油分和蛋白质积累的复杂遗传机制提供了新的见解。
High-density linkage maps can improve the precision of QTL localization. A high-density SNP-based linkage map containing 3207 markers covering 3072.7 cM of the Brassica napus genome was constructed in the KenC-8 × N53-2 (KNDH) population. A total of 67 and 38 QTLs for seed oil and protein content were identified with an average confidence interval of 5.26 and 4.38 cM, which could explain up to 22.24% and 27.48% of the phenotypic variation, respectively. Thirty-eight associated genomic regions from BSA overlapped with and/or narrowed the SOC-QTLs, further confirming the QTL mapping results based on the high-density linkage map. Potential candidates related to acyl-lipid and seed storage underlying SOC and SPC, respectively, were identified and analyzed, among which six were checked and showed expression differences between the two parents during different embryonic developmental periods. A large primary carbohydrate pathway based on potential candidates underlying SOC- and SPC-QTLs, and interaction networks based on potential candidates underlying SOC-QTLs, was constructed to dissect the complex mechanism based on metabolic and gene regulatory features, respectively. Accurate QTL mapping and potential candidates identified based on high-density linkage map and BSA analyses provide new insights into the complex genetic mechanism of oil and protein accumulation in the seeds of rapeseed.