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地中海硬质小麦地方品种的制面品质数量性状基因座图谱

Pasta-Making Quality QTLome From Mediterranean Durum Wheat Landraces.

作者信息

Roselló Martina, Royo Conxita, Álvaro Fanny, Villegas Dolors, Nazco Ruyman, Soriano Jose Miguel

机构信息

Sustainable Field Crops Programme, Institute for Food and Agricultural Research and Technology, Lleida, Spain.

出版信息

Front Plant Sci. 2018 Oct 16;9:1512. doi: 10.3389/fpls.2018.01512. eCollection 2018.

Abstract

In order to identify genome regions related to pasta-making quality traits, association mapping (AM) was performed in a set of 165 durum wheat landraces from 21 Mediterranean countries. The collection was genotyped using 1149 DArT markers and 872 of them with a known genetic position were used for AM. The collection was grown in north-east Spain during 3 years. Results of ANOVA showed that trait variation for quality traits, except for grain protein content (GPC), was mainly explained by genetic effects. Landraces showed higher GPC than modern cultivars but lower gluten strength (GS). Modern and eastern landraces showed the highest yellow color index (YI). Balkan landraces showed the lowest test weight (TW). A total of 92 marker-trait associations were detected, 20 corresponding to GS, 21 to GPC, 21 to YI and 30 to TW. With the aim of detecting new genomic regions involved in grain quality, the position of the associations was compared with previously mapped QTL by a meta-QTL analysis. A total of 249 QTLs were projected onto the same map used for AM, identifying 45 meta-QTL (MQTL) regions and the remaining 15 QTLs as singletons. The position of known genes involved in grain quality was also included, and gene annotation within the most significant regions detected by AM was carried out using the wheat genome sequence.

摘要

为了鉴定与面食制作品质性状相关的基因组区域,对来自21个地中海国家的165份硬粒小麦地方品种进行了关联分析(AM)。利用1149个DArT标记对该群体进行基因分型,其中872个具有已知遗传位置的标记用于AM分析。该群体在西班牙东北部种植了3年。方差分析结果表明,除籽粒蛋白质含量(GPC)外,品质性状的变异主要由遗传效应解释。地方品种的GPC高于现代品种,但面筋强度(GS)较低。现代和东部地方品种表现出最高的黄度指数(YI)。巴尔干地方品种的容重(TW)最低。共检测到92个标记-性状关联,其中20个与GS相关,21个与GPC相关,21个与YI相关,30个与TW相关。为了检测参与籽粒品质的新基因组区域,通过元QTL分析将这些关联的位置与先前定位的QTL进行比较。总共249个QTL被投影到用于AM分析的同一图谱上,鉴定出45个元QTL(MQTL)区域,其余15个QTL为单基因座。还纳入了参与籽粒品质的已知基因的位置,并利用小麦基因组序列对AM分析检测到的最显著区域内的基因进行注释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a5b/6232839/f8e800a255c4/fpls-09-01512-g0001.jpg

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