ArticleJournal of experimental botany2017
Genetic dissection of metabolite variation in Arabidopsis seeds: evidence for mQTL hotspots and a master regulatory locus of seed metabolism.
Article in Journal of experimental botany, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed, 41 citations in OpenAlex.
- Integrated metabolome and transcriptome reveal the molecular basis of flavonoid pathway-mediated fruit firmness variation in sweet cherry (Current research in food science · 2026Article
- Parallel evolution of salinity tolerance inScience advances · 2025Article
- Metabolite-based genome-wide association studies enable the dissection of the genetic bases of flavonoids, betaine and spermidine in wolfberry (Lycium).Plant biotechnology journal · 2024Article
- Functional characterization of plant specific Indeterminate Domain (IDD) transcription factors in tomato (Solanum lycopersicum L.).Scientific reports · 2024Article
- Chemical-tag-based semi-annotated metabolomics facilitates gene identification and specialized metabolic pathway elucidation in wheat.The Plant cell · 2024Article
- QT-GWAS: A novel method for unveiling biosynthetic loci affecting qualitative metabolic traits.Molecular plant · 2023Article
- Natural variation of respiration-related traits in plants.Plant physiology · 2023Review
- QTL analysis of important agronomic traits and metabolites in foxtail millet (Frontiers in plant science · 2022Article
- Research Progress and Trends in Metabolomics of Fruit Trees.Frontiers in plant science · 2022Review
- Understanding Omics Driven Plant Improvement andFrontiers in genetics · 2021Review
- PANOMICS meets germplasm.Plant biotechnology journal · 2020Review
- Metabolomics analysis and metabolite-agronomic trait associations using kernels of wheat (Triticum aestivum) recombinant inbred lines.The Plant journal : for cell and molecular biology · 2020Article
- Evolutionary Metabolomics Identifies Substantial Metabolic Divergence between Maize and Its Wild Ancestor, Teosinte.The Plant cell · 2019Article
- Genetic Variation for Seed Metabolite Levels inInternational journal of molecular sciences · 2019Article
- The Diversity of Nutritional Metabolites: Origin, Dissection, and Application in Crop Breeding.Frontiers in plant science · 2019Review
- Article
- Metabolome Analysis of Multi-Connected Biparental Chromosome Segment Substitution Line Populations.Plant physiology · 2018Article
- Extracting genotype information of Arabidopsis thaliana recombinant inbred lines from transcript profiles established with high-density oligonucleotide arrays.Plant cell reports · 2017Article
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6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To gain insight into genetic factors controlling seed metabolic composition and its relationship to major seed properties, an Arabidopsis recombinant inbred line (RIL) population, derived from accessions Col-0 and C24, was studied using an MS-based metabolic profiling approach. Relative intensities of 311 polar primary metabolites were used to identify associated genomic loci and to elucidate their interactions by quantitative trait locus (QTL) mapping. A total of 786 metabolic QTLs (mQTLs) were unequally distributed across the genome, forming several hotspots. For the branched-chain amino acid leucine, mQTLs and candidate genes were elucidated in detail. Correlation studies displayed links between metabolite levels, seed protein content, and seed weight. Principal component analysis revealed a clustering of samples, with PC1 mapping to a region on the short arm of chromosome IV. The overlap of this region with mQTL hotspots indicates the presence of a potential master regulatory locus of seed metabolism. As a result of database queries, a series of candidate regulatory genes, including bZIP10, were identified within this region. Depending on the search conditions, metabolic pathway-derived candidate genes for 40-61% of tested mQTLs could be determined, providing an extensive basis for further identification and characterization of hitherto unknown genes causal for natural variation of Arabidopsis seed metabolism.
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