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利用小麦50K SNP芯片衍生的高密度遗传图谱对小麦株高和籽粒性状进行QTL定位

Utilization of a Wheat50K SNP Microarray-Derived High-Density Genetic Map for QTL Mapping of Plant Height and Grain Traits in Wheat.

作者信息

Lv Dongyun, Zhang Chuanliang, Yv Rui, Yao Jianxin, Wu Jianhui, Song Xiaopeng, Jian Juntao, Song Pengbo, Zhang Zeyuan, Han Dejun, Sun Daojie

机构信息

College of Agronomy, Northwest A&F University, Xianyang 712100, China.

Zhumadian Academy of Agricultural Sciences, Zhumadian 463000, China.

出版信息

Plants (Basel). 2021 Jun 8;10(6):1167. doi: 10.3390/plants10061167.

DOI:10.3390/plants10061167
PMID:34201388
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8229693/
Abstract

Plant height is significantly correlated with grain traits, which is a component of wheat yield. The purpose of this study is to investigate the main quantitative trait loci (QTLs) that control plant height and grain-related traits in multiple environments. In this study, we constructed a high-density genetic linkage map using the Wheat50K SNP Array to map QTLs for these traits in 198 recombinant inbred lines (RILs). The two ends of the chromosome were identified as recombination-rich areas in all chromosomes except chromosome 1B. Both the genetic map and the physical map showed a significant correlation, with a correlation coefficient between 0.63 and 0.99. However, there was almost no recombination between 1RS and 1BS. In terms of plant height, 1RS contributed to the reduction of plant height by 3.43 cm. In terms of grain length, 1RS contributed to the elongation of grain by 0.11 mm. A total of 43 QTLs were identified, including eight QTLs for plant height (PH), 11 QTLs for thousand grain weight (TGW), 15 QTLs for grain length (GL), and nine QTLs for grain width (GW), which explained 1.36-33.08% of the phenotypic variation. Seven were environment-stable QTLs, including two loci ( and ) that determined plant height. The explanation rates of phenotypic variation were 7.39-12.26% and 20.11-27.08%, respectively. One QTL, , which influenced TGW, showed an explanation rate of 3.43-6.85% for phenotypic variation. Two co-segregating KASP markers were developed, and the physical locations corresponding to KASP_AX-109316968 and KASP_AX-109519968 were 25.888344 MB and 25.847691 MB, respectively. , controlling plant height, and , controlling TGW, had an obvious linkage relationship, with a distance of 7-8 cM. Breeding is based on molecular markers that control plant height and thousand-grain weight by selecting strains with low plant height and large grain weight. Another QTL, , which determined grain width, had an explanation rate of 3.43-6.85%. Three loci that affected grain length were , , and , illustrating the explanation rates of phenotypic variation as 6.72-9.59%, 5.62-7.75%, and 6.68-10.73%, respectively. Two QTL clusters were identified on chromosomes 4B and 4D.

摘要

株高与粒型性状显著相关,粒型性状是小麦产量的一个组成部分。本研究的目的是探究在多种环境下控制株高和粒型相关性状的主要数量性状位点(QTL)。在本研究中,我们使用小麦50K SNP芯片构建了高密度遗传连锁图谱,以定位198个重组自交系(RIL)中这些性状的QTL。除1B染色体外,在所有染色体的两端均被鉴定为重组丰富区域。遗传图谱和物理图谱均显示出显著相关性,相关系数在0.63至0.99之间。然而,1RS与1BS之间几乎没有重组。在株高方面,1RS使株高降低了3.43厘米。在粒长方面,1RS使籽粒伸长了0.11毫米。共鉴定出43个QTL,包括8个株高(PH)QTL、11个千粒重(TGW)QTL、15个粒长(GL)QTL和9个粒宽(GW)QTL,它们解释了1.36 - 33.08%的表型变异。7个是环境稳定的QTL,包括2个决定株高的位点(和)。表型变异的解释率分别为7.39 - 12.26%和20.11 - 27.08%。一个影响TGW的QTL,对表型变异的解释率为3.43 - 6.85%。开发了两个共分离的KASP标记,与KASP_AX - 109316968和KASP_AX - 109519968对应的物理位置分别为25.888344 MB和25.847691 MB。控制株高的和控制TGW的具有明显的连锁关系,距离为7 - 8 cM。育种是基于通过选择株高较低和粒重较大的品系来控制株高和千粒重的分子标记。另一个决定粒宽的QTL,对表型变异的解释率为3.43 - 6.85%。影响粒长的三个位点是、和,表型变异的解释率分别为为6.72 - 9.59%、5.62 - 7.75%和6.68 - 10.73%。在4B和4D染色体上鉴定出两个QTL簇。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7a/8229693/6a4d51bf49f8/plants-10-01167-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7a/8229693/18864d7f40d1/plants-10-01167-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7a/8229693/6a4d51bf49f8/plants-10-01167-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7a/8229693/18864d7f40d1/plants-10-01167-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ce7a/8229693/6a4d51bf49f8/plants-10-01167-g002.jpg

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