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Genome-wide association analysis of root system architecture features and agronomic traits in durum wheat

机译:基因组 - 杜兰麦小麦根系结构特征与农艺性状的基因组关联分析

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摘要

Root system architecture (RSA) has positive effects on wheat growth and its yield performance. As root features are difficult to manipulate through conventional breeding strategies, marker-trait association (MTA) could be helpful for the improvement of RSA. In the present study, 112 durum wheat genotypes were investigated for several root system features as well as some agronomic traits. The population was genotyped using a 15K SNP and a total of 3321 markers were used in the association analysis. A total of 581 significant marker-trait associations were identified in all of the 14 chromosomes. The percentages of phenotypic variation (R-2) of measured traits varied between 8.76 and 24.81%. Out of 581 associated markers, 125 loci were linked with multiple traits. The most significant associations on measured traits were detected for genome B compared to genome A (61% vs 39%). Also, major associated loci existed on chromosomes 1A, 1B, 2B, 3B, and 5B, which could be considered in the future breeding programs to manipulate relevant traits using marker-assisted selection procedures. Among associated SNP markers, most markers were related to the number of days to spike heading (181), anthesis (53), booting (69), physiological maturity (41), water use efficiency (109), and transpiration efficiency (24). Furthermore, the large number of QTLs (167 in total) for RSA and agronomic traits were detected. The highest numbers of QTLs were related to WUE (23), DAS (23), DB (21), and DA (20) than other traits. Among the detected QTLs, 16 QTLs for RSA overlapped with different agronomic traits, as well as 6 QTLs co-located with other RSA traits in at last one trait. These results are helpful for better understanding the genetic basis of root system features and agronomic traits. Furthermore, these results could be valuable for facilitating pyramiding of the ideal alleles using the MAS approach for favorable plant-type and high water use efficiency in the future durum wheat breeding programs.
机译:根系结构(RSA)对小麦生长及其产量性能具有积极影响。由于通过传统的育种策略难以操纵根本特征,标记性关联(MTA)可能有助于改善RSA。在本研究中,研究了112个硬粒小麦基因型,用于几种根系特征以及一些农艺性状。使用15K SNP进行基因分型,并且在关联分析中使用总共3321个标记物。在所有14条染色体中鉴定了总共581个显着的标记性关联。测量性状的表型变异(R-2)的百分比在8.76和24.81%之间变化。在581个相关标记中,125个基因座与多种特征相关联。与基因组A相比,检测到测量性状的最显着的关联与基因组A(61%Vs 39%)。此外,在染色体1a,1b,2b,3b和5b上存在主要相关基因座,其可以在未来的育种程序中考虑,以使用标记辅助选择程序操纵相关性状。在相关的SNP标记中,大多数标记与尖峰标题(181),开发(53),引导(69),生理成熟度(41),水使用效率(109)和蒸腾效率(24)之间的天数有关。 。此外,检测了RSA和农艺性状的大量QTL(总共167个)。最高数量的QTL与WUE(23),DAS(23),DB(21)和DA(20)相关的QTL相关。在检测到的QTL中,16个RSA的16 QTL与不同的农艺性状重叠,以及6个QTLS在最后一个特征中与其他RSA特征共同定位。这些结果有助于更好地理解根系特征和农艺性状的遗传基础。此外,这些结果对于利用MAS方法促进理想等位基因的促进理想的等位基因的功率可能是有价值的,以便在未来的杜兰姆小麦养殖计划中使用MAS方法。

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