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Identification of QTNs and Their Candidate Genes for 100-Seed Weight in Soybean (Glycine max L.) Using Multi-Locus Genome-Wide Association Studies

机译:使用多基因座基因组 - 宽协会研究鉴定大豆(Glycine Max L.)中100种种子重量的QTNS及其候选基因

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摘要

100-seed weight (100-SW) in soybeans is a yield component trait and controlled by multiple genes with different effects, but limited information is available for its quantitative trait nucleotides (QTNs) and candidate genes. To better understand the genetic architecture underlying the trait and improve the precision of marker-assisted selection, a total of 43,834 single nucleotide polymorphisms (SNPs) in 250 soybean accessions were used to identify significant QTNs for 100-SW in four environments and their BLUP values using six multi-locus and one single-locus genome-wide association study methods. As a result, a total of 218 significant QTNs were detected using multi-locus methods, whereas eight QTNs were identified by a single-locus method. Among 43 QTNs or QTN clusters identified repeatedly across various environments and/or approaches, all of them exhibited significant trait differences between their corresponding alleles, 33 were found in the genomic region of previously reported QTLs, 10 were identified as new QTNs, and three ( , , and ) were detected in all the four environments. The number of seed weight (SW) increasing alleles for each accession ranged from 8 (18.6%) to 36 (83.72%), and three accessions (Yixingwuhuangdou, Nannong 95C-5, and Yafanzaodou) had more than 35 SW increasing alleles. Among 36 homologous seed-weight genes in underlying the above 43 stable QTNs, more importantly, , , and had known seed-size/weight-related genes in soybean, and , , and were candidate genes identified in this study. These results provide useful information for genetic foundation, marker-assisted selection, genomic prediction, and functional genomics of 100-SW.
机译:大豆中100种种子重量(100-SW)是产率分量性状,并由多种基因控制,具有不同效果,但是有限的信息可用于其定量性状核苷酸(QTN)和候选基因。为了更好地了解特性的基本型建筑和提高标记辅助选择的精度,共使用250只大豆载体中的43,834个单核苷酸多态性(SNP),用于在四个环境中识别100-SW的重要QTNS及其结合值使用六种多基因座和一个单轨道基因组 - 宽协会研究方法。结果,使用多基因座方法检测总共218个显着的QTN,而通过单个基因座法识别八个QTN。在跨各种环境和/或方法中重复识别的43个QTN或QTN集群中,所有这些在其相应的等位基因之间表现出显着的特性差异,在先前报告的QTL的基因组区域中发现33种,将10个被鉴定为新的QTN和三个( ,和)在所有四种环境中检测到。每次加入的种子重量(SW)增加等位基因范围从8(18.6%)到36(83.72%),以及三种换乘(yixingwuhuangdou,Nannong 95c-5和Yafanzaodou)具有超过35个横幅增加的等位基因。在上述36个稳定的QTN中,更重要的是,在大豆中具有已知的种子尺寸/体重相关基因的36种同源种子重量基因中,并且是本研究中鉴定的候选基因。这些结果为100-SW的基因基础,标记辅助选择,基因组预测和功能基因组学提供了有用的信息。

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