Integrated multiple population analysis of leaf architecture traits in maize (Zea mays L.)
Integrated multiple population analysis of leaf architecture traits in maize (Zea mays L.)
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玉米叶结构性状的综合多群体分析（Zea mays L.）
DOI：
10.1093/jxb/err277
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发表时间：
2012-01-01
影响因子：
6.9
通讯作者：
Chen, Y. H.
中科院分区：
文献类型：
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作者：
Ku, L. X.;Zhang, J.;Chen, Y. H.
玉米叶的形态是由沿着三个轴的发育模式：近远轴，中间侧，近轴-远轴。玉米含有许多基因的同源物，这些基因在其他物种中被鉴定为叶片发育的调节因子，但它们与叶片形状的自然变异的关系仍然未知。在这项研究中，叶角，叶向值，叶长，叶宽的数量性状基因座（QTL）的256个F-2：3家庭在三个环境中进行了评估。在前人报道的叶构型性状的实验结果的基础上，利用Meta分析整合了多个独立QTL研究的遗传图谱并检测了QTL。叶构型的候选基因序列被定位在整合的共有遗传图谱中。共检测到21个QTL和17个元QTL（mQTL）。其中qLA 1 -1和qLA 2分别在5个和3个群体中检测到，贡献率（R-2）> 10%的7个QTL中有6个整合到mQTL中。6个关键mQTL（mQTL 1 -1、mQTL 2 -1、mQTL 3 -3、mQTL 5 -1、mQTL 7 -2和mQTL 8 -1）包含4-6个与2-4个性状相关的初始QTL，其中一些初始QTL的R-2> 10%。因此，共定位率较高的6个mQTL的染色体区域可能是相关性状重要QTL的热点。15个控制叶片构型性状的关键候选基因与11个相应的mQTL相吻合，分别为DWARF 4、KAN 3、liguless 1、TAC 1、ROT 3、AS 2/liguless 2、PFL 2、yabby 9/SE/LIC/yabby 15、mwp 1、CYCD 3;2和CYCB 1。具体而言，DWARF 4、liguleless 1、AS 2/liguleless 2、yabby 9/SE/LIC/yabby 15和CYCD 3;2分别定位在重要的mQTL 1 -1、mQTL 2 -1、mQTL 3 -3、mQTL 5 -1和mQTL 7 -2间隔内。这5个mQTL的遗传区域的精细定位或单染色体片段系的构建值得进一步研究，并可用于标记辅助育种。这些结果为进一步研究叶构型性状提供了有用的信息，有助于揭示叶构型性状的分子机制。
Leaf morphology in maize is regulated by developmental patterning along three axes: proximodistal, mediolateral, and adaxial-abaxial. Maize contains homologues of many genes identified as regulators of leaf development in other species, but their relationship to the natural variation of leaf shape remains unknown. In this study, quantitative trait loci (QTLs) for leaf angle, leaf orientation value, leaf length, and leaf width were mapped by a total of 256 F-2:3 families evaluated in three environments. Meta-analysis was used to integrate genetic maps and detect QTLs across several independent QTL studies, on the basis of the previously reported experimental results for leaf architecture traits. Candidate gene sequences for leaf architecture were mapped in the integrated consensus genetic map. In total, 21 QTLs and 17 meta-QTLs (mQTLs) were detected. Among these QTLs, qLA1-1 and qLA2 were consistently detected in five and three populations respectively, and six of seven QTLs with contributions (R-2) > 10% were integrated in mQTLs. Six key mQTLs (mQTL1-1, mQTL2-1, mQTL3-3, mQTL5-1, mQTL7-2, and mQTL8-1) with R-2 of some initial QTLs > 10% included 4-6 initial QTLs associated with 2-4 traits. Therefore, the chromosome regions for six mQTLs with high QTL co-localization might be hot spots of the important QTLs for the associated traits. Fifteen key candidate genes controlling leaf architecture traits coincided with 11 corresponding mQTLs, namely DWARF4, KAN3, liguleless1, TAC1, ROT3, AS2/liguleless2, PFL2, yabby9/SE/LIC/yabby15, mwp1, CYCD3;2, and CYCB1. In particular, DWARF4, liguleless1, AS2/liguleless2, yabby9/SE/LIC/yabby15, and CYCD3;2 were mapped within the important mQTL1-1, mQTL2-1, mQTL3-3, mQTL5-1, and mQTL7-2 intervals, respectively. Fine mapping or construction of single chromosome segment lines for genetic regions of these five mQTLs is worth further study and could be put to use in marker-assisted breeding. In conclusion, the results provide useful information for further research and help to reveal the molecular mechanisms with regard to leaf architecture traits.