ArticlePlant physiology2016
A Systems Genetics Approach Identifies Gene Regulatory Networks Associated with Fatty Acid Composition in Brassica rapa Seed.
Article in Plant physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 31 citations in OpenAlex.
- Exogenous Sucrose Improves the Vigor of Aged Safflower Seeds by Mediating Fatty Acid Metabolism and Glycometabolism.Plants (Basel, Switzerland) · 2025Article
- Transcriptional regulation of oil biosynthesis in seed plants: Current understanding, applications, and perspectives.Plant communications · 2022Review
- Ultrasonic Waves Regulate Antioxidant Defense and Gluconeogenesis to Improve Germination From Naturally Aged Soybean Seeds.Frontiers in plant science · 2022Article
- CSN improves seed vigor of aged sunflower seeds by regulating the fatty acid, glycometabolism, and abscisic acid metabolism.Journal of advanced research · 2021Article
- High Drying Temperature Accelerates Sunflower Seed Deterioration by Regulating the Fatty Acid Metabolism, Glycometabolism, and Abscisic Acid/Gibberellin Balance.Frontiers in plant science · 2021Article
- A systems genetics approach reveals environment-dependent associations between SNPs, protein coexpression, and drought-related traits in maize.Genome research · 2020Article
- Enhancing the Nutritional Quality of Major Food Crops Through Conventional and Genomics-Assisted Breeding.Frontiers in nutrition · 2020Review
- Co-expression network of transcription factors reveal ethylene-responsive element-binding factor as key regulator of wood phenotype in3 Biotech · 2018Article
- Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome Datasets.Frontiers in plant science · 2018Review
- Stable, Environmental Specific and Novel QTL Identification as Well as Genetic Dissection of Fatty Acid Metabolism inFrontiers in plant science · 2018Article
- Metabolomic analysis of tomato seed germination.Metabolomics : Official journal of the Metabolomic Society · 2017Article
- Molecular Mapping of Oil Content and Fatty Acids Using Dense Genetic Maps in Groundnut (Frontiers in plant science · 2017Article
- Systems Genetics Identifies a Novel Regulatory Domain of Amylose Synthesis.Plant physiology · 2017Article
- Genome-Wide Association Study of Genetic Control of Seed Fatty Acid Biosynthesis inFrontiers in plant science · 2016Article
- Molecular Mapping and QTL for Expression Profiles of Flavonoid Genes inFrontiers in plant science · 2016Article
- Quantitative Trait Locus Analysis of Seed Germination and Seedling Vigor in Brassica rapa Reveals QTL Hotspots and Epistatic Interactions.Frontiers in plant science · 2015Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fatty acids in seeds affect seed germination and seedling vigor, and fatty acid composition determines the quality of seed oil. In this study, quantitative trait locus (QTL) mapping of fatty acid and transcript abundance was integrated with gene network analysis to unravel the genetic regulation of seed fatty acid composition in a Brassica rapa doubled haploid population from a cross between a yellow sarson oil type and a black-seeded pak choi. The distribution of major QTLs for fatty acids showed a relationship with the fatty acid types: linkage group A03 for monounsaturated fatty acids, A04 for saturated fatty acids, and A05 for polyunsaturated fatty acids. Using a genetical genomics approach, expression quantitative trait locus (eQTL) hotspots were found at major fatty acid QTLs on linkage groups A03, A04, A05, and A09. An eQTL-guided gene coexpression network of lipid metabolism-related genes showed major hubs at the genes BrPLA2-ALPHA, BrWD-40, a number of seed storage protein genes, and the transcription factor BrMD-2, suggesting essential roles for these genes in lipid metabolism. Three subnetworks were extracted for the economically important and most abundant fatty acids erucic, oleic, linoleic, and linolenic acids. Network analysis, combined with comparison of the genome positions of cis- or trans-eQTLs with fatty acid QTLs, allowed the identification of candidate genes for genetic regulation of these fatty acids. The generated insights in the genetic architecture of fatty acid composition and the underlying complex gene regulatory networks in B. rapa seeds are discussed.
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