Zhang W, Chao S, Manthey F, Chicaiza O, Brevis J C, Echenique V, Dubcovsky J
Department of Plant Sciences, One Shields Av., University of California, Davis, CA 95616, USA.
Theor Appl Genet. 2008 Nov;117(8):1361-77. doi: 10.1007/s00122-008-0869-1. Epub 2008 Sep 9.
Bright yellow color, firmness and low cooking loss are important factors for the production of good-quality pasta products. However, the genetic factors underlying those traits are still poorly understood. To fill this gap we developed a population of 93 recombinant inbred lines (RIL) from the cross between experimental line UC1113 (intermediate pasta quality) with the cultivar Kofa (excellent pasta quality). A total of 269 markers, including 23 SNP markers, were arranged on 14 linkage groups covering a total length of 2,140 cM. Samples from each RIL from five different environments were used for complete pasta quality testing and the results from each year were used for QTL analyses. The combined effect of different loci, environment and their interactions were analyzed using factorial ANOVAs for each trait. We identified major QTLs for pasta color on chromosomes 1B, 4B, 6A, 7A and 7B. The 4B QTL was linked to a polymorphic deletion in the Lpx-B1.1 lipoxygenase locus, suggesting that it was associated with pigment degradation during pasta processing. The 7B QTL for pasta color was linked to the Phytoene synthase 1 (Psy-B1) locus suggesting difference in pigment biosynthesis. QTLs affecting pasta firmness and cooking loss were detected on chromosomes 5A and 7B, and in both cases they were overlapping with QTL for grain protein content and wet gluten content. These last two parameters were highly correlated with pasta firmness (R > 0.71) and inversely correlated to cooking loss (R < -0.37). The location and effect of other QTLs affecting grain size and weight, gluten strength, mixing properties, and ash content are also discussed.
亮黄色、硬度和低蒸煮损失是生产优质意大利面产品的重要因素。然而,这些性状背后的遗传因素仍知之甚少。为了填补这一空白,我们利用实验品系UC1113(中等意大利面品质)与品种Kofa(优质意大利面品质)杂交,培育了一个由93个重组自交系(RIL)组成的群体。共有269个标记,包括23个SNP标记,分布在14个连锁群上,总长度为2140厘摩。来自每个RIL在五个不同环境下的样本用于完整的意大利面品质测试,每年的结果用于QTL分析。使用析因方差分析对每个性状分析不同位点、环境及其相互作用的综合效应。我们在1B染色体(4B)、6A、7A和7B染色体上鉴定出了控制意大利面色泽的主要QTL。4B QTL与Lpx-B1.1脂氧合酶基因座中的一个多态性缺失相关,这表明它与意大利面加工过程中的色素降解有关。7B染色体上控制意大利面色泽的QTL与八氢番茄红素合成酶1(Psy-B1)基因座相关,表明色素生物合成存在差异。在5A和7B染色体上检测到影响意大利面硬度和蒸煮损失的QTL,在这两种情况下,它们都与谷物蛋白质含量和湿面筋含量的QTL重叠。最后这两个参数与意大利面硬度高度相关(R>0.71),与蒸煮损失呈负相关(R<-0.37)。还讨论了影响籽粒大小和重量、面筋强度、混合特性和灰分含量的其他QTL的位置和效应。