ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2019
QTL mapping for maize starch content and candidate gene prediction combined with co-expression network analysis.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Combined linkage mapping and association analysis reveal the genetic control of starch content in maize kernel.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Identification of ZmGLN5, a candidate gene for resistance to Gibberella ear rot in maize.Molecular biology reports · 2026Article
- Combining QTL mapping and RNA-Seq reveals candidate genes controlling flag leaf width in foxtail millet.BMC plant biology · 2025Article
- QTL Mapping and Candidate Gene Screening for Enhancing Oil Content in Silage Maize.Plants (Basel, Switzerland) · 2025Article
- Unraveling the interactive effect of opaque2 and waxy1 genes on kernel nutritional qualities and physical properties in maize (Zea mays L.).Scientific reports · 2025Article
- Novel candidate genes and genetic basis analysis of kernel starch content in tropical maize.BMC plant biology · 2025Article
- Genomics-assisted stacking of waxy1, opaque2, and crtRB1 genes for enhancing amylopectin in biofortified maize for industrial utilization and nutritional security.Functional & integrative genomics · 2025Article
- GWAS and Meta-QTL Analysis of Kernel Quality-Related Traits in Maize.Plants (Basel, Switzerland) · 2024Article
- Genome-Wide Association Studies on the Kernel Row Number in a Multi-Parent Maize Population.International journal of molecular sciences · 2024Article
- Linkage mapping and genomic prediction of grain quality traits in tropical maize (Frontiers in genetics · 2024Article
- Development of novel gene-based markers for waxy1 gene and their validation for exploitation in molecular breeding for enhancement of amylopectin in maize.Journal of applied genetics · 2023Article
- Genetic architecture of leaf morphology revealed by integrated trait module inHorticulture research · 2023Article
- Genome-wide association study of quality traits and starch pasting properties of maize kernels.BMC genomics · 2023Article
- Association Mapping of Amylose Content in Maize RIL Population Using SSR and SNP Markers.Plants (Basel, Switzerland) · 2023Article
- Unravelling the molecular mechanism underlying drought stress response in chickpeaFrontiers in plant science · 2023Article
- Analysis of QTL mapping for germination and seedling response to drought stress in sunflower (PeerJ · 2023Article
- Co-expression pan-network reveals genes involved in complex traits within maize pan-genome.BMC plant biology · 2022Article
- Development and validation of rapid and cost-effective protocol for estimation of amylose and amylopectin in maize kernels.3 Biotech · 2022Article
- Combining higher accumulation of amylopectin, lysine and tryptophan in maize hybrids through genomics-assisted stacking of waxy1 and opaque2 genes.Scientific reports · 2022Article
- Transcriptomic Variations and Network Hubs Controlling Seed Size and Weight During Maize Seed Development.Frontiers in plant science · 2022Article
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8 authors.
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Abstract
key messageA major QTL Qsta9.1 was identified on chromosome 9, combined with GWAS, and co-expression network analysis showed that GRMZM2G110929 and GRMZM5G852704 are the potential candidates for association with maize kernel starch content. Increasing maize kernel starch content may not only lead to higher maize kernel yields and qualities, but also help meet industry demands. By using the intermated B73 × Mo17 population, QTLs were mapped for starch content in this study. A major QTL Qsta9.1 was detected in a 1.7 Mb interval on chromosome 9 and validated by allele frequency analysis in extreme tails of a newly constructed segregating population. According to genome-wide association study (GWAS) based on genotyping of a natural population, we identified a significant SNP for starch content within the ORF region of GRMZM5G852704_T01 colocalized with QTL Qsta9.1. Co-expression network analysis was also conducted, and 28 modules were constructed during six seed developmental stages. Functional enrichment was performed for each module, and one module showed the most possibility for the association with carbohydrate-related processes. In this module, one transcripts GRMZM2G110929_T01 located in the Qsta9.1 assigned 1.7 Mb interval encoding GLABRA2 expression modulator. Its expression level in B73 was lower than that in Mo17 across all seed developmental stages, implying the possibility for the candidate gene of Qsta9.1. Our studies combined GWAS, mRNA profiling, and traditional QTL analyses to identify a major locus for controlling seed starch content in maize.
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