QTL mapping for soybean (Glycine max L.) leaf chlorophyll-content traits in a genotyped RIL population by using RAD-seq based high-density linkage map.

QTL mapping for soybean (Glycine max L.) leaf chlorophyll-content traits in a genotyped RIL population by using RAD-seq based high-density linkage map.
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DOI:
10.1186/s12864-020-07150-4
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发表时间:
2020-10-23
期刊:
影响因子:
4.4
通讯作者:
Nian H
Nian H
中科院分区:
生物学2区
文献类型:
--
作者:
Wang L;Conteh B;Fang L;Xia Q;Nian H

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不同大豆品种(Glycine max L.)叶片叶绿素含量性状被认为与大豆产量有显著联系。为定位大豆叶片叶绿素含量性状的数量性状基因座(QTL),采用改良重组自交系(RIL、ZH、中黄24 ×华夏3号)群体,在6个不同环境(季节和大豆生育期)下采集目标性状的表型数据。此外,基于限制性位点相关DNA测序(RAD-seq)的RIL群体的高密度遗传连锁图被用于QTL定位通过执行复合区间作图(CIM)的方法。相关分析表明,在特定的叶绿素评价方法下,多数性状间存在相关性,并受遗传和环境因素的共同调控。本研究共检测到78个大豆叶片叶绿素含量性状的QTL。此外,还对检测到的13个主效QTL和5个重要QTL热点进行了分类和标记。最后,根据主效QTL和重要QTL热点的遗传区间预测了Glyma 01 g15506、Glyma 02 g 08910、Glyma 02 g11110、Glyma 07 g15960、Glyma 15 g19670和Glyma 15 g19810。检测到的QTL和候选基因有助于深入了解大豆叶片叶绿素含量性状的遗传基础,为目标性状的分子标记辅助选择(MAS)育种奠定基础。补充信息随附于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. Supplementary information accompanies this paper at 10.1186/s12864-020-07150-4.
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