ArticleBMC plant biology2020
High-density QTL mapping of leaf-related traits and chlorophyll content in three soybean RIL populations.
Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 17 citations in OpenAlex.
- Integrative Multi-Omics Analysis Reveals Systemic Transcriptional and Hormonal Reprogramming Associated with a Rice Yellow-Green Leaf Mutant.Current issues in molecular biology · 2026Article
- Identification of photosynthetic pigment content-related genes in peanut (Arachis hypogaea L.) by GWAS and RNA-seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- QTL mapping for yield contributing traits in mungbean (Vigna radiata L.) using a RIL population.Scientific reports · 2025Article
- Spatial patterning of chloroplasts and stomata in developing cacao leaves.Communications biology · 2025Article
- Epistasis and pleiotropy-induced variation for plant breeding.Plant biotechnology journal · 2024Review
- The Response and Evaluation of Morphology, Physiology, and Biochemistry Traits in TriploidPlants (Basel, Switzerland) · 2024Article
- Genetic dissection of ten photosynthesis-related traits based on InDel- and SNP-GWAS in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Integrated eQTL mapping approach reveals genomic regions regulating candidate genes of theFrontiers in plant science · 2024Article
- Article
- The era of cultivating smart rice with high light efficiency and heat tolerance has come of age.Frontiers in plant science · 2022Review
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8 authors at 3 institutions in 1 country.
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Abstract
backgroundLeaf size and shape, which affect light capture, and chlorophyll content are important factors affecting photosynthetic efficiency. Genetic variation of these components significantly affects yield potential and seed quality. Identification of the genetic basis for these traits and the relationship between them is of great practical significance for achieving ideal plant architecture and high photosynthetic efficiency for improved yield.
resultsHere, we undertook a large-scale linkage mapping study using three mapping populations to determine the genetic interplay between soybean leaf-related traits and chlorophyll content across two environments. Correlation analysis revealed a significant negative correlation between leaf size and shape, while both traits were positively correlated with chlorophyll content. This phenotypic relationship was verified across the three mapping populations as determined by principal component analysis, suggesting that these traits are under the control of complex and interrelated genetic components. The QTLs for leaf-related traits and chlorophyll are partly shared, which further supports the close genetic relationship between the two traits. The largest-effect major loci, q20, was stably identified across all population and environments and harbored the narrow leaflet gene Gm-JAG1 (Ln/ln), which is a key regulator of leaflet shape in soybean.
conclusionOur results uncover several major QTLs (q4-1, q4-2, q11, q13, q18 and q20) and its candidate genes specific or common to leaf-related traits and chlorophyll, and also show a complex epistatic interaction between the two traits. The SNP markers closely linked to these valuable QTLs could be used for molecular design breeding with improved plant architecture, photosynthetic capacity and even yield.
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