ArticleFrontiers in plant science2018
Genome-Wide Association Mapping of Starch Pasting Properties in Maize Using Single-Locus and Multi-Locus Models.
Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Integrated Transcriptome-Metabolome Analysis Reveals the Flavonoids Metabolism Mechanism of Maize Radicle in Response to Low Temperature.Plants (Basel, Switzerland) · 2025Article
- Single- and Multi-Locus GWAS Unravels Novel Genomic Regions Related to Low-Phosphate Stress in Cotton Seedlings.Plants (Basel, Switzerland) · 2025Article
- Multi-Experiment and Multi-Locus Genome-Wide Association Mapping for Grain Arsenic in Rice Population.Plant direct · 2025Article
- SPDC-HG: An accelerator of genomic hybrid breeding in maize.Plant biotechnology journal · 2025Article
- Genome-Wide Association Studies and QTL Mapping Reveal a New Locus Associated with Resistance to Bacterial Pustule Caused byPlants (Basel, Switzerland) · 2024Article
- Association mapping of important agronomic traits in Mucuna pruriens (L.) DC.Botanical studies · 2024Article
- Genome-wide association study and expression of candidate genes for Fe and Zn concentration in sorghum grains.Scientific reports · 2024Article
- Insights into the genetic architecture of Phytophthora capsici root rot resistance in chile pepper (Capsicum spp.) from multi-locus genome-wide association study.BMC plant biology · 2024Article
- Genome-Wide Association Study of Rice Diversity Panel Reveals New QTLs for Tolerance to Water Deficit Under the Egyptian Conditions.Rice (New York, N.Y.) · 2024Article
- Advancements and Prospects of Genome-Wide Association Studies (GWAS) in Maize.International journal of molecular sciences · 2024Review
- Single Nucleotide Polymorphisms Associated with AA-Amyloidosis in Siamese and Oriental Shorthair Cats.Genes · 2023Article
- GWAS of grain color and tannin content in Chinese sorghum based on whole-genome sequencing.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Genome-wide association study of quality traits and starch pasting properties of maize kernels.BMC genomics · 2023Article
- Multi-locus genome-wide association studies reveal the genetic architecture ofFrontiers in plant science · 2023Article
- Identification of southern corn rust resistance QTNs in Chinese summer maize germplasm via multi-locus GWAS and post-GWAS analysis.Frontiers in plant science · 2023Article
- Genome-wide association study of drought tolerance traits in sugar beet germplasms at the seedling stage.Frontiers in genetics · 2023Article
- Association mapping reveals novel genes and genomic regions controlling grain size architecture in mini core accessions of Indian National Genebank wheat germplasm collection.Frontiers in plant science · 2023Article
- Identifying the Genetic Basis of Mineral Elements in Rice Grain Using Genome-Wide Association Mapping.Genes · 2022Article
- Dissecting Complex Traits Using Omics Data: A Review on the Linear Mixed Models and Their Application in GWAS.Plants (Basel, Switzerland) · 2022Review
- Genomic prediction of zinc-biofortification potential in rice gene bank accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
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9 authors.
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Abstract
Maize starch plays a critical role in food processing and industrial application. The pasting properties, the most important starch characteristics, have enormous influence on fabrication property, flavor characteristics, storage, cooking, and baking. Understanding the genetic basis of starch pasting properties will be beneficial for manipulation of starch properties for a given purpose. Genome-wide association studies (GWAS) are becoming a powerful tool for dissecting the complex traits. Here, we carried out GWAS for seven pasting properties of maize starch with a panel of 230 inbred lines and 145,232 SNPs using one single-locus method, genome-wide efficient mixed model association (GEMMA), and three multi-locus methods, FASTmrEMMA, FarmCPU, and LASSO. We totally identified 60 quantitative trait nucleotides (QTNs) for starch pasting properties with these four GWAS methods. FASTmrEMMA detected the most QTNs (29), followed by FarmCPU (19) and LASSO (12), GEMMA detected the least QTNs (7). Of these QTNs, seven QTNs were identified by more than one method simultaneously. We further investigated locations of these significantly associated QTNs for possible candidate genes. These candidate genes and significant QTNs provide the guidance for further understanding of molecular mechanisms of starch pasting properties. We also compared the statistical powers and Type I errors of the four GWAS methods using Monte Carlo simulations. The results suggest that the multi-locus method is more powerful than the single-locus method and a combination of these multi-locus methods could help improve the detection power of GWAS.
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