Genome wide analysis of flowering time trait in multiple environments via high-throughput genotyping technique in Brassica napus L.
Genome wide analysis of flowering time trait in multiple environments via high-throughput genotyping technique in Brassica napus L.
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DOI：
10.1371/journal.pone.0119425
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Li M
中科院分区：
文献类型：
--
作者：
Li L;Long Y;Zhang L;Dalton-Morgan J;Batley J;Yu L;Meng J;Li M
基于全基因组标记的甘蓝型油菜开花时间（FT）性状的预测和潜在遗传因子的检测不仅对世界各地的油菜生产者具有重要意义，而且对我国轮作体系中的其他作物产业也具有重要意义。在以前的研究中，低密度和混合使用的生物标志物阻碍了B中的基因组选择。和FT相关基因座的综合定位。在这项研究中，一个高密度的全基因组SNP集的基因分型的双单倍体群体的B。油菜。我们首先在B中进行FT性状的基因组预测。通过八个现有的基因组预测模型，在三个地理区域的十个环境下使用跨基因组的SNP对油菜进行预测。结果表明，所有模型均达到了较高的预测精度，验证了基因组预测在B中的可行性。油菜。接下来，我们在三个地区进行了FT相关基因座的大规模定位，发现了437个相关SNP，其中一些代表已知的FT基因，如AP 1和PHYE。由相关SNP标记的基因在参与花形成的生物过程中富集。上位性分析表明，检测到的位点之间，甚至在一些已知的FT相关基因之间存在显着的相互作用。这些结果表明，我们的大规模高密度基因型数据对B具有重要的实用价值和科学价值。油菜。据我们所知，这是B中基因组选择模型的第一次评估。基于高密度SNP数据集和FT基因座的大规模作图，
The prediction of the flowering time (FT) trait in Brassica napus based on genome-wide markers and the detection of underlying genetic factors is important not only for oilseed producers around the world but also for the other crop industry in the rotation system in China. In previous studies the low density and mixture of biomarkers used obstructed genomic selection in B. napus and comprehensive mapping of FT related loci. In this study, a high-density genome-wide SNP set was genotyped from a double-haploid population of B. napus. We first performed genomic prediction of FT traits in B. napus using SNPs across the genome under ten environments of three geographic regions via eight existing genomic predictive models. The results showed that all the models achieved comparably high accuracies, verifying the feasibility of genomic prediction in B. napus. Next, we performed a large-scale mapping of FT related loci among three regions, and found 437 associated SNPs, some of which represented known FT genes, such as AP1 and PHYE. The genes tagged by the associated SNPs were enriched in biological processes involved in the formation of flowers. Epistasis analysis showed that significant interactions were found between detected loci, even among some known FT related genes. All the results showed that our large scale and high-density genotype data are of great practical and scientific values for B. napus. To our best knowledge, this is the first evaluation of genomic selection models in B. napus based on a high-density SNP dataset and large-scale mapping of FT loci.
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影响因子：
48
作者：
Langmead, Ben;Salzberg, Steven L.
通讯作者：
Salzberg, Steven L.
影响因子：
5.1
作者：
Genuer, Robin;Poggi, Jean-Michel;Tuleau-Malot, Christine
通讯作者：
Tuleau-Malot, Christine
影响因子：
1.9
作者：
Lin HY;Chen YA;Tsai YY;Qu X;Tseng TS;Park JY
通讯作者：
Park JY
影响因子：
3.3
作者：
de Los Campos G;Hickey JM;Pong-Wong R;Daetwyler HD;Calus MP
通讯作者：
Calus MP
影响因子：
4.5
作者：
Chao DY;Silva A;Baxter I;Huang YS;Nordborg M;Danku J;Lahner B;Yakubova E;Salt DE
通讯作者：
Salt DE