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

• Published in: BMC genomics Vol. 21; no. 1; p. 739
• Main Authors: Wang, Liang, Conteh, Brima, Fang, Linzhi, Xia, Qiuju, Nian, Hai
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 23.10.2020; BioMed Central; BMC
• Subjects: Agricultural production; Chlorophyll; Chromosome Mapping; Correlation analysis; Data acquisition; Density; Deoxyribonucleic acid; DNA; DNA sequencing; Environmental factors; Gene mapping; Genetic aspects; Genetic Linkage; Genetic research; Genetic testing; Genomes; Genomics; Glycine max; Glycine max - genetics; Identification and classification; Inbreeding; Leaf chlorophyll-content traits; Leaves; Mapping; Marker-assisted selection; Methods; Phenotype; Plant breeding; Plant Leaves - genetics; Population; Properties; QTL mapping; Quantitative genetics; Quantitative Trait Loci; Seeds; Sequence Analysis, DNA; Soybean; Soybeans; Target acquisition; China; Leaf chlorophyll-content traits; Soybean; QTL mapping
• ISSN: 1471-2164; 1471-2164
• 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.