New Genetic Loci Associated with Preharvest Sprouting and Its Evaluation Based on the Model Equation in Rice.
New Genetic Loci Associated with Preharvest Sprouting and Its Evaluation Based on the Model Equation in Rice.
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DOI：
10.3389/fpls.2017.01393
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发表时间：
2017
影响因子：
5.6
通讯作者：
Koh HJ
中科院分区：
文献类型：
--
作者：
Lee GA;Jeon YA;Lee HS;Hyun DY;Lee JR;Lee MC;Lee SY;Ma KH;Koh HJ
稻穗穗发芽(PHS)是水稻成熟期在不可预测的水分条件下造成产量损失和稻米品质恶化的重要数量性状。然而，PHS的分子机制尚未阐明。在这里，我们探索了与水稻PHS相关的遗传座位，并建立了用于快速筛选的模型回归方程，用于育种计划。对21份具有代表性的PHS材料进行重新测序和富集化分析后发现，大约有20000个SNP在PHS抗性和感病材料之间表现出明显的等位基因分布。共筛选出39个候选SNP基因座，其中包括已报道的QTL。分析了144份水稻材料的PHS与39个候选SNP座位的关联，根据等位基因类型确定了其中10个对PHS有显著影响的SNP基因座。根据该基因座的等位基因类型，构建了评价水稻PHS的回归方程，回归方程的R2=0.401。我们用更多的材料验证了这个方程，在预测值和实际测量值之间显示出显著的R2值0.430。新检测到的SNP基因座和模型方程可以帮助标记辅助选择预测水稻种质和育种系的PHS。
Preharvest sprouting (PHS) in rice panicles is an important quantitative trait that causes both yield losses and the deterioration of grain quality under unpredictable moisture conditions at the ripening stage. However, the molecular mechanism underlying PHS has not yet been elucidated. Here, we explored the genetic loci associated with PHS in rice and formulated a model regression equation for rapid screening for use in breeding programs. After re-sequencing 21 representative accessions for PHS and performing enrichment analysis, we found that approximately 20,000 SNPs revealed distinct allelic distributions between PHS resistant and susceptible accessions. Of these, 39 candidate SNP loci were selected, including previously reported QTLs. We analyzed the genotypes of 144 rice accessions to determine the association between PHS and the 39 candidate SNP loci, 10 of which were identified as significantly affecting PHS based on allele type. Based on the allele types of the SNP loci, we constructed a regression equation for evaluating PHS, accounting for an R2 value of 0.401 in japonica rice. We validated this equation using additional accessions, which exhibited a significant R2 value of 0.430 between the predicted values and actual measurements. The newly detected SNP loci and the model equation could facilitate marker-assisted selection to predict PHS in rice germplasm and breeding lines.
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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：
2.9
作者：
Li, Chengdao;Ni, Peixiang;Appels, Rudi
通讯作者：
Appels, Rudi
DOI：
10.1073/pnas.0805303105
发表时间：
2008-08-26
影响因子：
11.1
作者：
Fujino, Kenji;Sekiguchi, Hiroshi;Yano, Masahiro
通讯作者：
Yano, Masahiro
影响因子：
4.2
作者：
Cao, Qianjin;Lu, Bao-Rong;Grassi, Fabrizio
通讯作者：
Grassi, Fabrizio
影响因子：
5.4
作者：
He, X. Y.;He, Z. H.;Xia, X. C.
通讯作者：
Xia, X. C.