Mapping quantitative trait loci for seminal root angle in a selected durum wheat population.

IF 3.9 2区 生物学 Q1 GENETICS & HEREDITY Plant Genome Pub Date : 2024-07-23 DOI:10.1002/tpg2.20490
Yichen Kang, Samir Alahmad, Shanice V Haeften, Oluwaseun Akinlade, Jingyang Tong, Eric Dinglasan, Kai P Voss-Fels, Andries B Potgieter, Andrew K Borrell, Manar Makhoul, Christian Obermeier, Rod Snowdon, Emma Mace, David R Jordan, Lee T Hickey
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Abstract

Seminal root angle (SRA) is an important root architectural trait associated with drought adaptation in cereal crops. To date, all attempts to dissect the genetic architecture of SRA in durum wheat (Triticum durum Desf.) have used large association panels or structured mapping populations. Identifying changes in allele frequency generated by selection provides an alternative genetic mapping approach that can increase the power and precision of QTL detection. This study aimed to map quantitative trait loci (QTL) for SRA by genotyping durum lines created through divergent selection using a combination of marker-assisted selection (MAS) for the major SRA QTL (qSRA-6A) and phenotypic selection for SRA over multiple generations. The created 11 lines (BC1F2:5) were genotyped with genome-wide single-nucleotide polymorphism (SNP) markers to map QTL by identifying markers that displayed segregation distortion significantly different from the Mendelian expectation. QTL regions were further assessed in an independent validation population to confirm their associations with SRA. The experiment revealed 14 genomic regions under selection, 12 of which have not previously been reported for SRA. Five regions, including qSRA-6A, were confirmed in the validation population. The genomic regions identified in this study indicate that the genetic control of SRA is more complex than previously anticipated. Our study demonstrates that selection mapping is a powerful approach to complement genome-wide association studies for QTL detection. Moreover, the verification of qSRA-6A in an elite genetic background highlights the potential for MAS, although it is necessary to combine additional QTL to develop new cultivars with extreme SRA phenotypes.

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在精选硬粒小麦群体中绘制精根角的数量性状位点图。
半根角(SRA)是与谷类作物干旱适应性相关的重要根系结构性状。迄今为止,所有剖析硬质小麦(Triticum durum Desf.)SRA 遗传结构的尝试都使用了大型关联面板或结构化作图群体。识别由选择产生的等位基因频率变化提供了另一种遗传图谱绘制方法,可提高 QTL 检测的能力和精度。本研究的目的是通过对针对主要 SRA QTL(qSRA-6A)的标记辅助选择(MAS)和多代 SRA 表型选择相结合的方法,对通过发散选择创建的硬质小麦品系进行基因分型,从而绘制 SRA 的数量性状位点(QTL)图。利用全基因组单核苷酸多态性(SNP)标记对所创建的 11 个品系(BC1F2:5)进行基因分型,通过识别与孟德尔期望值明显不同的分离畸变标记来绘制 QTL。在一个独立的验证群体中进一步评估了 QTL 区域,以确认它们与 SRA 的关联。实验揭示了 14 个受选择的基因组区域,其中 12 个区域以前从未报道过与 SRA 有关。包括 qSRA-6A 在内的五个区域在验证群体中得到了确认。本研究发现的基因组区域表明,SRA 的遗传调控比以前预期的要复杂。我们的研究表明,选择图谱是一种强大的方法,可作为全基因组关联研究的补充,用于检测 QTL。此外,qSRA-6A 在精英遗传背景中的验证凸显了 MAS 的潜力,尽管有必要结合更多的 QTL 来培育具有极端 SRA 表型的新栽培品种。
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来源期刊
Plant Genome
Plant Genome PLANT SCIENCES-GENETICS & HEREDITY
CiteScore
6.00
自引率
4.80%
发文量
93
审稿时长
>12 weeks
期刊介绍: The Plant Genome publishes original research investigating all aspects of plant genomics. Technical breakthroughs reporting improvements in the efficiency and speed of acquiring and interpreting plant genomics data are welcome. The editorial board gives preference to novel reports that use innovative genomic applications that advance our understanding of plant biology that may have applications to crop improvement. The journal also publishes invited review articles and perspectives that offer insight and commentary on recent advances in genomics and their potential for agronomic improvement.
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