Abstract
BackgroundDifferent 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.ResultsCorrelation 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.ConclusionsThe 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.
Highlights
Different soybean (Glycine max L.) leaf chlorophyll-content traits are considered to be significantly linked to soybean yield
Phenotypic analyses of soybean leaf content traits with two distinct assessing methods In previous studies, soybean leaf chlorophyll contents were reported to be positively correlated to seed yield during reproductive stages [6, 7]
To better map distinct Quantitative trait locus (QTL) for soybean leaf chlorophyll-content traits in the ZH recombinant inbred line (RIL) population, the phenotypic data and soybean leaf samples were collected at 9 a. m. according to the R1, R4 and R6 growth stages of different soybean lines across the spring and summer of 2017
Summary
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). The leaf chlorophylls were usually evaluated by using the extracted-based methods and can be assessed by non-destructive approaches [1, 2]. Studies have turned out that the soybean (Glycine max L.) leaf chlorophyll contents were positively correlated to seed yield during soybean reproductive stages [6, 7]. A better understanding of the genetic basis of chlorophyll-content traits in soybean leaves may be valuable for accelerating the soybean high-yield breeding
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