Evidence map›Paper›PMID 42151634›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2026

Genetic dissection of oil content in maize kernel using combined genome-wide association analysis and linkage mapping.

Shijiang He, Xiaolei Zhang, Hengshuo Chang, Xin Tian, Zhike Deng, Zhong Chen, Chaoying Zou, Guangsheng Yuan, Langlang Ma, Yaou Shen

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Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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10 authors.

Shijiang He *Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Xiaolei Zhang *Key Laboratory of Quality and Safety of Cereals and Their Products, State Administration for Market Regulation, Quality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences, Herbin, 150006, China.
Hengshuo ChangKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Xin TianKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Zhike DengKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Zhong ChenKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Chaoying ZouKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Guangsheng YuanKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Langlang MaKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
Yaou ShenKey Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Maize Research Institute, Sichuan Agricultural University, Chengdu, 611130, China. shenyaou@sicau.edu.cn.ORCID http://orcid.org/0000-0001-7603-0108

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 32372203Science and Technology Department of Sichuan Province 2025ZNSFSC0150the Biological Breeding Project of National Key Laboratory SKL-ZD202211the National Nature Science Foundation of China 32572427the Opening Project of Key Laboratory of Quality and Safety of Cereals and Their Products, State Administration for Market Regulation GWKF2025-002the Science and Technology Programs of Sichuan Province 2024NSFSC0313the Science and Technology Programs of Sichuan Province 2024NSFSC0323
6 · The paper itself

Abstract

key messageIntegration of multienvironment QTL mapping and GWAS revealed three candidate genes-ZmFum1, ZmDGAT1-1, and ZmLPAAT4-as potential key regulators of maize kernel oil content. With an exceptional energy density and high polyunsaturated fatty acid content, maize oil positions high-oil maize as multifunctional feedstocks. Exploring the genetic architecture of oil content (OC) in maize kernel is crucial for breeding high-oil maize varieties. Herein, a combination of genome-wide association study and linkage mapping was employed to explore the quantitative trait loci (QTL) and candidate genes underlying the OC in maize kernel under four environments. Linkage mapping identified 17 QTLs for the OC, among which three QTL were repeatedly detected under multiple environments. GWAS revealed 17 OC-associated SNPs, of which 12 SNPs had large phenotype contribution rates with one accounting for 17.2% of the phenotypic variance. By integrating three multienvironment QTL identified through linkage mapping with the 17 most significant SNPs detected by GWAS, a total of 1142 genes were identified as the candidate genes. Based on the functional annotations, expression profiling, and gene-based association analysis, three candidate genes were prioritized: Zm00001d029084, Zm00001d037760, and Zm00001d043267, which encode fumarate hydratase 1 (ZmFum1), diacylglycerol acyltransferase-type I2 (ZmDGAT1-1), and 1-acyl-sn-glycerol-3-phosphate acyltransferase 4 (ZmLPAAT4), respectively. The SNPs in the coding sequences of Zm00001d029084 and Zm00001d037760 were significantly associated with OC and result in amino acid substitutions, whereas the promoter and 3'UTR regions of Zm00001d043267 each harbor an SNP significantly associated with OC. These findings provide valuable insights into the genetic basis of OC and highlight potential targets for marker-assisted selection in high-oil maize breeding.

Indexed as

Chromosome MappingCorn OilQuantitative Trait LociSeedsZea maysGenes, PlantGenetic Association StudiesGenetic LinkageGenome-Wide Association StudyPhenotypePlant ProteinsPolymorphism, Single NucleotideCorn OilPlant ProteinsFavorable alleleGWASKernel oil contentMaizeQTL mapping

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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.