ArticleFrontiers in plant science2022
Identification of QTN-by-environment interactions and their candidate genes for soybean seed oil-related traits using 3VmrMLM.
Article in Frontiers in plant science, 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, 17 citations in OpenAlex.
- Fast3VmrMLM: A fast algorithm that integrates genome-wide scanning with machine learning to accelerate gene mining and breeding by design for polygenic traits in large-scale GWAS datasets.Plant communications · 2025Article
- Genetic and transcriptome analyses of the effect of genotype-by-environment interactions on Brassica napus seed oil content.The Plant cell · 2025Article
- Identification of QTL for branch traits in soybean (Frontiers in genetics · 2025Article
- Identification of QTNs, QTN-by-environment interactions, and their candidate genes for salt tolerance related traits in soybean.BMC plant biology · 2024Article
- Genome-wide association study of agronomic traits related to nitrogen use efficiency in Henan wheat.BMC genomics · 2024Article
- Identification of QTN-by-environment interactions for yield related traits in maize under multiple abiotic stresses.Frontiers in plant science · 2023Article
- Identification of QTNs, QTN-by-environment interactions for plant height and ear height in maize multi-environment GWAS.Frontiers in plant science · 2023Article
- Genome-wide association study of cooking-caused grain expansion in rice (Frontiers in plant science · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Although seed oil content and its fatty acid compositions in soybean were affected by environment, QTN-by-environment (QEIs) and gene-by-environment interactions (GEIs) were rarely reported in genome-wide association studies. Methods: The 3VmrMLM method was used to associate the trait phenotypes, measured in five to seven environments, of 286 soybean accessions with 106,013 SNPs for detecting QTNs and QEIs. Results: Seven oil metabolism genes ( Discussion: The above results indicated that GEIs, together with drought response genes in co-expression network, may respond to drought, and play important roles in regulating seed oil-related traits together with oil metabolism genes. These results provide important information for genetic basis, molecular mechanisms, and soybean breeding for seed oil-related traits.
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