ArticleThe Plant journal : for cell and molecular biology2021
A forward genetics approach integrating genome-wide association study and expression quantitative trait locus mapping to dissect leaf development in maize (Zea mays).
Article in The Plant journal : for cell and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 24 citations in OpenAlex.
- CellMAGE: cell-type deconvolution for multi-parent population analysis of gene expression.bioRxiv : the preprint server for biology · 2026Article
- Genome-wide association study (GWAS) and transcriptome analysis reveal new candidate genes for leaf size in alfalfa.BMC plant biology · 2026Article
- A deficient CP24 allele defines variation for dynamic nonphotochemical quenching and photosystem II efficiency in maize.The Plant cell · 2025Article
- Genome-wide association study revealed candidate genes associated with leaf size in alfalfa (Medicago sativa L.).BMC plant biology · 2025Article
- Regulatory mechanism of the miR172e-LbrAP2 module during the vegetative growth phase transition in Lilium.Planta · 2023Article
- Combined genome-wide association studies and expression quantitative trait locus analysis uncovers a genetic regulatory network of floral organ number in a tree peony (Horticulture research · 2023Article
- Genome-Wide Association Study Identified Novel SNPs Associated with Chlorophyll Content in Maize.Genes · 2023Article
- BREEDIT: a multiplex genome editing strategy to improve complex quantitative traits in maize.The Plant cell · 2023Article
- Multi-omics analysis reveals the genetic basis of rice fragrance mediated by betaine aldehyde dehydrogenase 2.Journal of advanced research · 2022Article
- Transcriptional signatures of wheat inflorescence development.Scientific reports · 2022Article
- The Italian Research on the Molecular Characterization of Maize Kernel Development.International journal of molecular sciences · 2022Review
- BLSSpeller to discover novel regulatory motifs in maize.DNA research : an international journal for rapid publication of reports on genes and genomes · 2022Article
- Can we improve the chilling tolerance of maize photosynthesis through breeding?Journal of experimental botany · 2022Review
- Integrating Phenotypic and Gene Expression Linkage Mapping to Dissect Rust Resistance in Chickling Pea.Frontiers in plant science · 2022Article
- Genome-wide analysis of deletions in maize population reveals abundant genetic diversity and functional impact.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- GWAS and RNA-seq analysis uncover candidate genes associated with alkaline stress tolerance in maize (Frontiers in plant science · 2022Article
- Population Genomics and Haplotype Analysis in Bread Wheat Identify a Gene Regulating Glume Pubescence.Frontiers in plant science · 2022Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The characterization of the genetic basis of maize (Zea mays) leaf development may support breeding efforts to obtain plants with higher vigor and productivity. In this study, a mapping panel of 197 biparental and multiparental maize recombinant inbred lines (RILs) was analyzed for multiple leaf traits at the seedling stage. RNA sequencing was used to estimate the transcription levels of 29 573 gene models in RILs and to derive 373 769 single nucleotide polymorphisms (SNPs), and a forward genetics approach combining these data was used to pinpoint candidate genes involved in leaf development. First, leaf traits were correlated with gene expression levels to identify transcript-trait correlations. Then, leaf traits were associated with SNPs in a genome-wide association (GWA) study. An expression quantitative trait locus mapping approach was followed to associate SNPs with gene expression levels, prioritizing candidate genes identified based on transcript-trait correlations and GWAs. Finally, a network analysis was conducted to cluster all transcripts in 38 co-expression modules. By integrating forward genetics approaches, we identified 25 candidate genes highly enriched for specific functional categories, providing evidence supporting the role of vacuolar proton pumps, cell wall effectors, and vesicular traffic controllers in leaf growth. These results tackle the complexity of leaf trait determination and may support precision breeding in maize.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.