Liu Nianxi, Li Mu, Hu Xiangbao, Ma Qibin, Mu Yinghui, Tan Zhiyuan, Xia Qiuju, Zhang Gengyun, Nian Hai
The State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, 510642, People's Republic of China.
The Key Laboratory of Plant Molecular Breeding, South China Agricultural University, Guangzhou, 510642, People's Republic of China.
BMC Genomics. 2017 Jun 19;18(1):466. doi: 10.1186/s12864-017-3854-8.
One of the overarching goals of soybean breeding is to develop lines that combine increased yield with improved quality characteristics. High-density-marker QTL mapping can serve as an effective strategy to identify novel genomic information to facilitate crop improvement. In this study, we genotyped a recombinant inbred line (RIL) population (Zhonghuang 24 × Huaxia 3) using a restriction-site associated DNA sequencing (RAD-seq) approach. A high-density soybean genetic map was constructed and used to identify several QTLs that were shown to influence six yield-related and two quality traits.
A total of 47,472 single-nucleotide polymorphisms (SNPs) were detected for the RILs that were integrated into 2639 recombination bin units, with an average distance of 1.00 cM between adjacent markers. Forty seven QTLs for yield-related traits and 13 QTLs for grain quality traits were found to be distributed on 16 chromosomes in the 2 year studies. Among them, 18 QTLs were stable, and were identified in both analyses. Twenty six QTLs were identified for the first time, with a single QTL (qNN19a) in a 56 kb region explaining 32.56% of phenotypic variation, and an additional 10 of these were novel, stable QTLs. Moreover, 8 QTL hotpots on four different chromosomes were identified for the correlated traits.
With RAD-sequencing, some novel QTLs and important QTL clusters for both yield-related and quality traits were identified based on a new, high-density bin linkage map. Three predicted genes were selected as candidates that likely have a direct or indirect influence on both yield and quality in soybean. Our findings will be helpful for understanding common genetic control mechanisms of co-localized traits and to select cultivars for further analysis to predictably modulate soybean yield and quality simultaneously.
大豆育种的首要目标之一是培育出产量增加且品质特性得到改善的品系。高密度标记QTL定位可作为一种有效的策略,用于识别新的基因组信息以促进作物改良。在本研究中,我们采用限制性位点相关DNA测序(RAD-seq)方法对一个重组自交系(RIL)群体(中黄24×华夏3)进行基因分型。构建了一个高密度大豆遗传图谱,并用于鉴定几个影响六个产量相关性状和两个品质性状的QTL。
共检测到47472个单核苷酸多态性(SNP),这些SNP被整合到2639个重组 bins 单元中,相邻标记之间的平均距离为1.00 cM。在两年的研究中,发现47个产量相关性状的QTL和13个籽粒品质性状的QTL分布在16条染色体上。其中,18个QTL是稳定的,在两次分析中均被鉴定出来。首次鉴定出26个QTL,其中一个位于56 kb区域的单一QTL(qNN19a)解释了32.56%的表型变异,另外10个是新的稳定QTL。此外,还在四条不同染色体上鉴定出8个相关性状的QTL热点区域。
通过RAD测序,基于新的高密度 bins 连锁图谱,鉴定出了一些与产量相关和品质性状相关的新QTL和重要QTL簇。选择了三个预测基因作为候选基因,它们可能对大豆的产量和品质有直接或间接影响。我们的研究结果将有助于理解共定位性状的共同遗传控制机制,并为选择品种进行进一步分析以同时可预测地调节大豆产量和品质提供帮助。