ArticleInternational journal of molecular sciences2022
Identification of Genetic Variations and Candidate Genes Responsible for Stalk Sugar Content and Agronomic Traits in Fresh Corn via GWAS across Multiple Environments.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Genome-Wide Association Studies of Agronomic and Yield Traits in Sweet Corn (Plants (Basel, Switzerland) · 2026Article
- Article
- Meta-QTL Analysis and Identification of Candidate Genes Associated with Stalk Lodging in Maize (Current issues in molecular biology · 2025Article
- Identification of Quality-Related Genomic Regions and Candidate Genes in Silage Maize by Combining GWAS and Meta-Analysis.Plants (Basel, Switzerland) · 2025Article
- Characterization of volatile metabolites in temperate and tropical sweet corn cultivars under various post-harvest storage conditions.Food chemistry: X · 2024Article
- Research on Plant Genomics and Breeding 2.0.International journal of molecular sciences · 2024Article
- Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.International journal of molecular sciences · 2024Review
- Research on Plant Genomics and Breeding.International journal of molecular sciences · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
The stem and leaves of fresh corn plants can be used as green silage or can be converted to biofuels, and the stalk sugar content and yield directly determine the application value of fresh corn. To identify the genetic variations and candidate genes responsible for the related traits in fresh corn, the genome-wide scan and genome-wide association analysis (GWAS) were performed. A total of 32 selective regions containing 172 genes were detected between sweet and waxy corns. Using the stalk sugar content and seven other agronomic traits measured in four seasons over two years, the GWAS identified ninety-two significant single nucleotide polymorphisms (SNPs). Most importantly, seven SNPs associated with the stalk sugar content were detected across multiple environments, which could explain 13.68-17.82% of the phenotypic variation. Accessions differing in genotype for certain significant SNPs showed significant variation in the stalk sugar content and other agronomic traits, and the expression levels of six important candidate genes were significantly different between two materials with different stalk sugar content. The genetic variations and candidate genes provide valuable resources for future studies of the molecular mechanism of the stalk sugar content and establish the foundation for molecular marker-assisted breeding of fresh corn.
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