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普通小麦籽粒产量与籽粒蛋白质含量负相关的遗传学研究

Genetics of the Inverse Relationship between Grain Yield and Grain Protein Content in Common Wheat.

作者信息

Geyer Manuel, Mohler Volker, Hartl Lorenz

机构信息

Bavarian State Research Center for Agriculture, Institute for Crop Science and Plant Breeding, 85354 Freising, Germany.

出版信息

Plants (Basel). 2022 Aug 18;11(16):2146. doi: 10.3390/plants11162146.

DOI:10.3390/plants11162146
PMID:36015449
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9413592/
Abstract

Grain protein content (GPC) is one of the most important criteria to determine the quality of common wheat (). One of the major obstacles for bread wheat production is the negative correlation between GPC and grain yield (GY). Previous studies demonstrated that the deviation from this inverse relationship is highly heritable. However, little is known about the genetics controlling these deviations in common wheat. To fill this gap, we performed quantitative trait locus (QTL) analysis for GY, GPC, and four derived GY-GPC indices using an eight-way multiparent advanced generation intercross population comprising 394 lines. Interval mapping was conducted using phenotypic data from up to nine environments and genotypic data from a 20k single-nucleotide polymorphism array. The four indices were highly heritable (0.76-0.88) and showed distinct correlations to GY and GPC. Interval mapping revealed that GY, GPC, and GY-GPC indices were controlled by 6, 12, and 12 unique QTL, of which each explained only a small amount of phenotypic variance ( ≤ 10%). Ten of the 12 index QTL were independent of loci affecting GY and GPC. QTL regions harboured several candidate genes, including , , , and . The study confirmed the usefulness of indices to mitigate the inverse GY-GPC relationship in breeding, though the selection method should reflect their polygenic inheritance.

摘要

籽粒蛋白质含量(GPC)是决定普通小麦品质的最重要标准之一。面包小麦生产的主要障碍之一是GPC与籽粒产量(GY)之间呈负相关。先前的研究表明,这种反比关系的偏差具有高度遗传性。然而,对于控制普通小麦中这些偏差的遗传学知之甚少。为了填补这一空白,我们使用一个由394个株系组成的八亲本多亲本高世代杂交群体,对GY、GPC和四个衍生的GY - GPC指数进行了数量性状位点(QTL)分析。利用多达九个环境的表型数据和来自20k单核苷酸多态性阵列的基因型数据进行区间作图。这四个指数具有高度遗传性(0.76 - 0.88),并且与GY和GPC表现出明显的相关性。区间作图显示,GY、GPC和GY - GPC指数分别由6个、12个和12个独特的QTL控制,其中每个QTL仅解释了少量的表型变异(≤10%)。12个指数QTL中的10个独立于影响GY和GPC的位点。QTL区域包含几个候选基因,包括 、 、 和 。该研究证实了这些指数在育种中减轻GY - GPC反比关系的有用性,尽管选择方法应反映它们的多基因遗传。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c27/9413592/c30d6d3ca513/plants-11-02146-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c27/9413592/c30d6d3ca513/plants-11-02146-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c27/9413592/c30d6d3ca513/plants-11-02146-g001.jpg

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