ArticleBMC genomics2019
QTL fine-mapping of soybean (Glycine max L.) leaf type associated traits in two RILs populations.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Construction of the First Genetic Linkage Map and QTL Analysis for Morphological Traits inPlants (Basel, Switzerland) · 2026Article
- Identification of quantitative trait loci qPL6 for petiole length in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Identification of Quantitative Trait Loci for Node Number, Pod Number, and Seed Number in Soybean.International journal of molecular sciences · 2025Article
- Genome-wide association study provides new insight into the underlying mechanism of drought tolerance during seed germination stage in soybean.Scientific reports · 2024Article
- Morphological characterization and transcriptome analysis of rolled and narrow leaf mutant in soybean.BMC plant biology · 2024Article
- Uncovering the Genomic Regions Associated with Yield Maintenance in Rice Under Drought Stress Using an Integrated Meta-Analysis Approach.Rice (New York, N.Y.) · 2024Article
- QTL mapping and genomic selection of stem and branch diameter in soybean (Frontiers in plant science · 2024Article
- The genetic basis of shoot architecture in soybean.Molecular breeding : new strategies in plant improvement · 2023Article
- Branch angle and leaflet shape are associated with canopy coverage in soybean.The plant genome · 2023Article
- Fruit Morphology and Ripening-Related QTLs in a Newly Developed Introgression Line Collection of the Elite Varieties 'Védrantais' and 'Piel de Sapo'.Plants (Basel, Switzerland) · 2022Article
- Combining QTL mapping and RNA-Seq Unravels candidate genes for Alfalfa (Medicago sativa L.) leaf development.BMC plant biology · 2022Article
- Genome-wide association study reveals the genetic basis of brace root angle and diameter in maize.Frontiers in genetics · 2022Article
- QTL and candidate genes for heterophylly in soybean based on two populations of recombinant inbred lines.Frontiers in plant science · 2022Article
- Genome-wide identification of PME genes, evolution and expression analyses in soybean (Glycine max L.).BMC plant biology · 2021Article
- Quantitative Trait Locus Mapping of Seed Vigor in Soybean under -20 °C Storage and Accelerated Aging Conditions via RAD Sequencing.Current issues in molecular biology · 2021Article
- Article
- Genome-Wide Identification and Characterization of TALE Superfamily Genes in Soybean (International journal of molecular sciences · 2021Article
- 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.BMC genomics · 2020Article
- High-density QTL mapping of leaf-related traits and chlorophyll content in three soybean RIL populations.BMC plant biology · 2020Article
- Genome-wide identification and characterization of GRAS genes in soybean (Glycine max).BMC plant biology · 2020Article
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8 authors.
Funding
Abstract
backgroundThe different leaf type associated traits of soybean (Glycine max L.) including leaf area, leaf length, leaf width, leaf shape and petiole length are considered to be associated with seed yield. In order to identify quantitative trait loci (QTLs) affecting leaf type traits, two advanced recombinant inbred line (RIL, ZH, Zhonghuang 24 × Huaxia 3; GB, Guizao 1 × Brazil 13) populations were introduced to score phenotypic values in plants across nine different environments (years, seasons, locations and soybean growth stages). Two restriction site-associated DNA sequencing (RAD-seq) based high-density genetic linkage maps with an average distance of 1.00 centimorgan (cM) between adjacent bin markers were utilized for QTL fine mapping.
resultsCorrelation analysis showed that most of the traits were correlated with each other and regulated both by hereditary and environmental factors. A total of 190 QTLs were identified for leaf type associated traits in the two populations, of which 14 loci were found to be environmentally stable. Moreover, these detected QTLs were categorized into 34 QTL hotspots, and four important QTL hotspots with phenotypic variance ranging from 3.89-23.13% were highlighted. Furthermore, Glyma04g05840, Glyma19g37820, Glyma14g07140 and Glyma19g39340 were predicted in the intervals of the stable loci and important QTL hotspots for leaf type traits by adopting Gene Ontology (GO) enrichment analysis.
conclusionsOur findings of the QTLs and the putative genes will be beneficial to gain new insights into the genetic basis for soybean leaf type traits and may further accelerate the breeding process for reasonable leaf type soybean.
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