ArticleBMC plant biology2022
Linkage mapping combined with GWAS revealed the genetic structural relationship and candidate genes of maize flowering time-related traits.
Article in BMC plant biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Constitutive overexpression of GRF21, a 14-3-3 family protein, delays flowering time in maize (Zea mays).BMC plant biology · 2026Article
- Article
- Genome-wide association studies unravel genomic regions and candidate genes associated with Aspergillus flavus resistance in peanut kernels.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Integrated GWAS and Fst analysis identify flowering-time regulatory genes in maize.The plant genome · 2026Article
- The Mitochondrial Protein RESISTANCE to APHIDS 9 Interacts with S40 to Resist Aphid Infestation by Modulating Reactive Oxygen Species Homeostasis in Maize (Zea mays).Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Candidate genes for kernel ratio in maize identified via combined GWAS and QTL mapping across multiple environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Combination of QTL mapping and GWAS for fine mapping and gene mining of drought tolerance and seed yield components in faba bean (Vicia faba L.).BMC plant biology · 2025Article
- Host Genetic Effects and Phenotypic Landscapes of Rumen Bacterial Enterotypes in a Large Sheep Population.Animals : an open access journal from MDPI · 2025Article
- Individual plant genetics reveal the control of local adaptation in European maize landraces.BMC biology · 2025Article
- Genome-wide association study reveals genetic loci for seed density per silique in rapeseed (Brassica napus L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Cotton under heat stress: a comprehensive review of molecular breeding, genomics, and multi-omics strategies.Frontiers in genetics · 2025Review
- Identification of candidate gene associated with maize northern leaf blight resistance in a multi-parent population.Plant cell reports · 2024Article
- Article
- Multi-locus genome-wide association studies reveal the dynamic genetic architecture of flowering time in chrysanthemum.Plant cell reports · 2024Article
- Genetic diversity, relationships among traits and selection of tropical maize inbred lines for low-P tolerance based on root and shoot traits at seedling stage.Frontiers in plant science · 2024Article
- Genome-wide association study reveals loci and candidate genes of flowering time in jute (Molecular breeding : new strategies in plant improvement · 2023Article
- Integration of GWAS, linkage analysis and transcriptome analysis to reveal the genetic basis of flowering time-related traits in maize.Frontiers in plant science · 2023Article
- Multi-trait and multi-environment genomic prediction for flowering traits in maize: a deep learning approach.Frontiers in plant science · 2023Article
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23 authors.
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Abstract
backgroundFlowering time is an important agronomic trait of crops and significantly affects plant adaptation and seed production. Flowering time varies greatly among maize (Zea mays) inbred lines, but the genetic basis of this variation is not well understood. Here, we report the comprehensive genetic architecture of six flowering time-related traits using a recombinant inbred line (RIL) population obtained from a cross between two maize genotypes, B73 and Abe2, and combined with genome-wide association studies to identify candidate genes that affect flowering time.
resultsOur results indicate that these six traits showed extensive phenotypic variation and high heritability in the RIL population. The flowering time of this RIL population showed little correlation with the leaf number under different environmental conditions. A genetic linkage map was constructed by 10,114 polymorphic markers covering the whole maize genome, which was applied to QTL mapping for these traits, and identified a total of 82 QTLs that contain 13 flowering genes. Furthermore, a combined genome-wide association study and linkage mapping analysis revealed 17 new candidate genes associated with flowering time.
conclusionsIn the present study, by using genetic mapping and GWAS approaches with the RIL population, we revealed a list of genomic regions and candidate genes that were significantly associated with flowering time. This work provides an important resource for the breeding of flowering time traits in maize.
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