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小麦(Triticum aestivum L.)中蛋白质组分含量的 QTL 作图。

QTL mapping for quantities of protein fractions in bread wheat (Triticum aestivum L.).

机构信息

Institute of Crop Science, National Wheat Improvement Centre/The National Key Facility for Crop Gene Resources and Genetic Improvement, Chinese Academy of Agricultural Sciences (CAAS), Beijing, China.

出版信息

Theor Appl Genet. 2011 Mar;122(5):971-87. doi: 10.1007/s00122-010-1503-6. Epub 2010 Dec 16.

Abstract

One of the key targets of breeding programs in bread wheat is to improve the end-use quality. The relationships between quantities of protein fractions and dough rheological characters have been well established, but there is little information on the genetic control of quantities of protein fractions. Two hundred and forty F(6) recombinant inbred lines derived from a cross between two Chinese wheat cultivars, PH82-2 and Neixiang 188, were sown at Jiaozuo in Henan province in the 2005-2006 and 2006-2007 cropping seasons, and inclusive composite interval mapping was used to dissect main effect quantitative trait loci (M-QTLs) and digenic epistatic QTLs (E-QTLs) for quantities of protein fractions. A total of 55 M-QTLs and 77 pairs of E-QTLs affecting the quantities of protein fractions including GLU-A1 (QGA1), GLU-B1 (QGB1), GLU-D1 (QGD1), HMW-GS (QHMW), GLU-A3 (QGA3), GLU-B3 (QGB3), LMW-GS (QLMW), glutenin (QGLU) and the ratio of the quantity of glutenin to those of gliadin were identified, with M-QTLs contributing 39.3-95.6% of the phenotypic variance explained (PVE), and E-QTLs accounting for 1.4-33.5% of the PVE. Among the M-QTLs, 33 were consistent in two seasons and in the mean value of two seasons with similar effects in both magnitude and direction, including major genes on HMW and LMW glutenin loci linked to Sec1 and Glu-B1c, Glu-D1d, Glu-A3a, and grain hardness locus Ha, indicating that these genes were the most important determinants of gluten strength, and they might have significant effects on dough properties not only through effects on allelic composition, but also by influencing quantities of protein fractions. The effects of E-QTLs were more influenced by environments, compared with those of M-QTLs, with only two pairs of E-QTLs consistent in two seasons and in the mean value of two seasons. The M-QTLs were detected in 12 marker intervals, all of which involved E-QTLs on quantities of protein fractions, whereas only 40 of 77 pairs of E-QTLs involved intervals in which M-QTLs were detected. The results indicated that besides main effects, epistatic effects were also important factors in determining quantities of protein fractions in wheat.

摘要

培育计划的一个关键目标是提高面包小麦的应用品质。人们已经充分了解蛋白组分数量与面团流变学特性之间的关系,但有关蛋白组分数量的遗传控制的信息却很少。在 2005-2006 年和 2006-2007 年作物季节,在河南焦作播种了来自中国两个小麦品种 PH82-2 和内乡 188 的 240 个 F6 重组自交系,并使用包含区间作图法来剖析影响蛋白组分数量的主效数量性状基因座(M-QTL)和双基因上位性 QTL(E-QTL)。共鉴定出 55 个影响 GLU-A1(QGA1)、GLU-B1(QGB1)、GLU-D1(QGD1)、HMW-GS(QHMW)、GLU-A3(QGA3)、GLU-B3(QGB3)、LMW-GS(QLMW)、谷蛋白(QGLU)和醇溶蛋白与谷蛋白比值等蛋白组分数量的 M-QTL 和 77 对 E-QTL,M-QTL 解释的表型方差(PVE)为 39.3-95.6%,E-QTL 为 1.4-33.5%。在这些 M-QTL 中,有 33 个在两个季节和两个季节平均值中是一致的,且在大小和方向上的效应相似,包括与 Sec1 和 Glu-B1c、Glu-D1d、Glu-A3a 以及粒硬度位点 Ha 连锁的高分子量和低分子量谷蛋白基因座上的主基因,这表明这些基因是面筋强度的最重要决定因素,它们可能通过影响等位基因组成,也可能通过影响蛋白组分的数量,对面团特性产生显著影响。与 M-QTL 相比,E-QTL 的效应更容易受到环境的影响,只有两对 E-QTL 在两个季节和两个季节平均值中是一致的。M-QTL 检测到 12 个标记区间,所有这些区间都涉及蛋白组分数量的 E-QTL,而在 77 对 E-QTL 中,只有 40 对涉及到 M-QTL 检测到的区间。结果表明,除了主效外,上位性效应对决定小麦蛋白组分数量也是重要因素。

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