Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits
Association mapping for phenology and plant architecture in maize shows higher power for developmental traits compared with growth influenced traits
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DOI：
10.1038/hdy.2016.88
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发表时间：
2017-03-01
期刊：
影响因子：
3.8
通讯作者：
Charcosset, A.
中科院分区：
文献类型：
--
作者：
Bouchet, S.;Bertin, P.;Charcosset, A.
栽培植物的植物结构、物候和产量构成经过选择反复塑造，以满足人类的需要和适应不同的环境。在这里，我们评估了24个相关的玉米性状，在植物周期相互作用的遗传结构。总的来说，336行表型在9个试验的网络和基因分型与50 K单核苷酸多态性。物候期是遗传群间分化的主要因素。然后通过产量构成因素将凹痕与低产遗传群区分开来。然而，大多数性状变异发生在组内，我们观察到类似的整体和组内的相关性，表明多效性和/或连锁的主要影响。我们发现34个数量性状位点（QTL）的个别性状和6个性状组合对应的PCA坐标。其中，只有五个是多效性的。在Tb 1附近的5 Mb区域内发现了一个与分蘖数、穗行数和第一主成分分析轴相关的QTL簇，其中第一主成分分析轴与开花时间呈正相关，与产量呈负相关。Kn 1和ZmNIP 1是控制分蘖的候选基因，ZCN 8是控制叶片数的候选基因，Rubisco Activase 1是控制粒重的候选基因。与植株发育相关的性状如分蘖、叶片数和开花时间的实验重复性、QTL数目和可解释变异比例均高于受生长影响的性状如产量构成因素。这表明第一类具有更大的个体QTL效应的更简单的遗传决定论。
Plant architecture, phenology and yield components of cultivated plants have repeatedly been shaped by selection to meet human needs and adaptation to different environments. Here we assessed the genetic architecture of 24 correlated maize traits that interact during plant cycle. Overall, 336 lines were phenotyped in a network of 9 trials and genotyped with 50K singlenucleotide polymorphisms. Phenology was the main factor of differentiation between genetic groups. Then yield components distinguished dents from lower yielding genetic groups. However, most of trait variation occurred within group and we observed similar overall and within group correlations, suggesting a major effect of pleiotropy and/or linkage. We found 34 quantitative trait loci (QTLs) for individual traits and six for trait combinations corresponding to PCA coordinates. Among them, only five were pleiotropic. We found a cluster of QTLs in a 5 Mb region around Tb1 associated with tiller number, ear row number and the first PCA axis, the latter being positively correlated to flowering time and negatively correlated to yield. Kn1 and ZmNIP1 were candidate genes for tillering, ZCN8 for leaf number and Rubisco Activase 1 for kernel weight. Experimental repeatabilities, numbers of QTLs and proportion of explained variation were higher for traits related to plant development such as tillering, leaf number and flowering time, than for traits affected by growth such as yield components. This suggests a simpler genetic determinism with larger individual QTL effects for the first category.