QTL analysis for plant height and fine mapping of two environmentally stable QTLs with major effects in soybean

doi:10.1016/S2095-3119(21)63693-6

摘要/Abstract

摘要：

大豆株高是由主效或微效基因控制的重要农艺性状。在已报道的株高QTL中，绝大部分定位区间较大，限制了大豆株高分子调控机制的解析。增加遗传图谱的标记密度会显著地提高QTL定位的效率和准确性。本研究利用双亲中黄13和中品03-5373及其衍生的241个重组自交系（RILs）全基因组重测序数据，构建一个包含4011个重组bin标记、总遗传距离为3139.15 cM的高密度遗传图谱，相邻bin标记间的平均距离为0.78 cM。比较基因组分析表明，所构建的遗传图谱与大豆参考基因组具有较高的共线性。基于此图谱，在6个环境中共检测到9个株高QTL，包括3个新位点（qPH-b_11，qPH-b_17和qPH-b_18）。其中，两个环境稳定主效QTL qPH-b_13和qPH-b_19-1可解释10.56%～32.7%的表型变异。qPH-b_13和qPH-b_19-1被精细定位到440.12 kb和237.06 kb的基因组区间，分别包含54和28个注释基因。进一步的拟南芥同源基因功能和候选基因表达分析表明，基因Glyma.13G292600和Glyma.19G194100分别为qPH-b_13和qPH-b_19-1的候选功能基因。

Abstract: Plant height is an important agronomic trait, which is governed by multiple genes with major or minor effects. Of numerous QTLs for plant height reported in soybean, most are in large genomic regions, which results in a still unknown molecular mechanism for plant height. Increasing the density of molecular markers in genetic maps will significantly improve the efficiency and accuracy of QTL mapping. This study constructed a high-density genetic map using 4 011 recombination bin markers developed from whole genome re-sequencing of 241 recombinant inbred lines (RILs) and their bi-parents, Zhonghuang 13 (ZH) and Zhongpin 03-5373 (ZP). The total genetic distance of this bin map was 3 139.15 cM, with an average interval of 0.78 cM between adjacent bin markers. Comparative genomic analysis indicated that this genetic map showed a high collinearity with the soybean reference genome. Based on this bin map, nine QTLs for plant height were detected across six environments, including three novel loci (qPH-b_11, qPH-b_17 and qPH-b_18). Of them, two environmentally stable QTLs qPH-b_13 and qPH-b_19-1 played a major role in plant height, which explained 10.56–32.7% of the phenotypic variance. They were fine-mapped to 440.12 and 237.06 kb region, covering 54 and 28 annotated genes, respectively. Via the function of homologous genes in Arabidopsis and expression analysis, two genes of them were preferentially predicted as candidate genes for further study.

Key words: soybean , plant height , whole genome re-sequencing , bin map , QTL

. [J]. Journal of Integrative Agriculture, 2022, 21(4): 933-946.

TIAN Yu, YANG Lei, LU Hong-feng, ZHANG Bo, LI Yan-fei, LIU Chen, GE Tian-li, LIU Yu-lin, HAN Jia-nan, LI Ying-hui, QIU Li-juan. QTL analysis for plant height and fine mapping of two environmentally stable QTLs with major effects in soybean[J]. Journal of Integrative Agriculture, 2022, 21(4): 933-946.

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