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在哈萨克斯坦种植的“纪念阿齐耶娃”ד帕拉贡”面包小麦作图群体中鉴定籽粒品质性状的数量性状位点

Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan.

作者信息

Amalova Akerke, Griffiths Simon, Abugalieva Aigul, Abugalieva Saule, Turuspekov Yerlan

机构信息

Institute of Plant Biology and Biotechnology, Almaty 050040, Kazakhstan.

John Innes Centre, Norwich NR4 7UH, UK.

出版信息

Plants (Basel). 2025 Jun 5;14(11):1728. doi: 10.3390/plants14111728.

Abstract

High grain quality is a key target in wheat breeding and is influenced by genetic and environmental factors. This study evaluated 94 recombinant inbred lines (RILs) from a Pamyati Azieva × Paragon (PA × P) mapping population grown in two regions in Kazakhstan to assess the genetic basis of six grain quality traits: the test weight per liter (TWL, g/L), grain protein content (GPC, %), gluten content (GC, %), gluten deformation index in flour (GDI, unit), sedimentation value in a 2% acetic acid solution (SV, mL), and grain starch content (GSC, %). A correlation analysis revealed a trade-off between protein and starch accumulation and an inverse relationship between grain quality and yield components. Additionally, GPC exhibited a negative correlation with yield per square meter (YM2), underscoring the challenge of simultaneously improving grain quality and yield. With the use of the QTL Cartographer statistical package, 71 quantitative trait loci (QTLs) were identified for the six grain quality traits, including 20 QTLs showing stability across multiple environments. Notable stable QTLs were detected for GPC on chromosomes 4A, 5B, 6A, and 7B and for GC on chromosomes 1D and 6A, highlighting their potential for marker-assisted selection (MAS). A major QTL found on chromosome 1D (, LOD 19.4) showed a strong association with gluten deformation index, emphasizing its importance in improving flour quality. A survey of published studies on QTL identification in common wheat suggested the likely novelty of 12 QTLs identified for GDI (five QTLs), TWL (three QTLs), SV, and GSC (two QTLs each). These findings underscore the need for balanced breeding strategies that optimize grain composition while maintaining high productivity. With the use of SNP markers associated with the identified QTLs for grain quality traits, the MAS approach can be implemented in wheat breeding programs.

摘要

高籽粒品质是小麦育种的关键目标,受遗传和环境因素影响。本研究对来自哈萨克斯坦两个地区种植的Pamyati Azieva×Paragon(PA×P)作图群体的94个重组自交系(RIL)进行了评估,以确定六个籽粒品质性状的遗传基础,即每升容重(TWL,g/L)、籽粒蛋白质含量(GPC,%)、面筋含量(GC,%)、面粉中的面筋变形指数(GDI,单位)、2%醋酸溶液中的沉降值(SV,mL)和籽粒淀粉含量(GSC,%)。相关性分析揭示了蛋白质和淀粉积累之间的权衡以及籽粒品质与产量构成因素之间的负相关关系。此外,GPC与每平方米产量(YM2)呈负相关,凸显了同时提高籽粒品质和产量的挑战。利用QTL Cartographer统计软件包,鉴定出了六个籽粒品质性状的71个数量性状位点(QTL),其中20个QTL在多个环境中表现稳定。在4A、5B、6A和7B染色体上检测到了显著稳定的GPC QTL,在1D和6A染色体上检测到了GC的显著稳定QTL,突出了它们在标记辅助选择(MAS)中的潜力。在1D染色体上发现的一个主要QTL(,LOD 19.4)与面筋变形指数密切相关,强调了其在改善面粉品质方面的重要性。对普通小麦QTL鉴定的已发表研究进行的调查表明,为GDI(5个QTL)、TWL(3个QTL)、SV和GSC(各2个QTL)鉴定的12个QTL可能具有新颖性。这些发现强调了需要采取平衡的育种策略,在保持高生产力的同时优化籽粒组成。利用与已鉴定的籽粒品质性状QTL相关的SNP标记,可以在小麦育种计划中实施MAS方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d09a/12157905/316b68213018/plants-14-01728-g001.jpg

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