The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
The Key Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, 510642, Guangdong, People's Republic of China.
BMC Genomics. 2020 Oct 23;21(1):739. doi: 10.1186/s12864-020-07150-4.
Different soybean (Glycine max L.) leaf chlorophyll-content traits are considered to be significantly linked to soybean yield. To map the quantitative trait loci (QTLs) of soybean leaf chlorophyll-content traits, an advanced recombinant inbred line (RIL, ZH, Zhonghuang 24 × Huaxia 3) population was adopted to phenotypic data acquisitions for the target traits across six distinct environments (seasons and soybean growth stages). Moreover, the restriction site-associated DNA sequencing (RAD-seq) based high-density genetic linkage map of the RIL population was utilized for QTL mapping by carrying out the composite interval mapping (CIM) approach.
Correlation analyses showed that most traits were correlated with each other under specific chlorophyll assessing method and were regulated both by hereditary and environmental factors. In this study, 78 QTLs for soybean leaf chlorophyll-content traits were identified. Furthermore, 13 major QTLs and five important QTL hotspots were classified and highlighted from the detected QTLs. Finally, Glyma01g15506, Glyma02g08910, Glyma02g11110, Glyma07g15960, Glyma15g19670 and Glyma15g19810 were predicted from the genetic intervals of the major QTLs and important QTL hotspots.
The detected QTLs and candidate genes may facilitate to gain a better understanding of the hereditary basis of soybean leaf chlorophyll-content traits and may be valuable to pave the way for the marker-assisted selection (MAS) breeding of the target traits.
不同大豆（Glycine max L.）叶片叶绿素含量性状被认为与大豆产量密切相关。为了定位大豆叶片叶绿素含量性状的数量性状位点（QTLs），采用了一个高级重组自交系（RIL，ZH，中黄 24×华夏 3）群体，在六个不同的环境（季节和大豆生长阶段）中对目标性状进行表型数据采集。此外，利用基于限制性位点相关 DNA 测序（RAD-seq）的 RIL 群体高密度遗传连锁图谱，通过复合区间作图（CIM）方法进行 QTL 作图。
相关性分析表明，在特定叶绿素评估方法下，大多数性状彼此相关，受遗传和环境因素的共同调控。本研究共鉴定到 78 个大豆叶片叶绿素含量性状的 QTLs。此外，从检测到的 QTLs中分类并突出了 13 个主要 QTL 和 5 个重要 QTL 热点。最后，从主要 QTL 和重要 QTL 热点的遗传区间预测到 Glyma01g15506、Glyma02g08910、Glyma02g11110、Glyma07g15960、Glyma15g19670 和 Glyma15g19810。
检测到的 QTLs 和候选基因可能有助于更好地理解大豆叶片叶绿素含量性状的遗传基础，并为目标性状的分子标记辅助选择（MAS）育种提供参考。
