ArticleNature communications2016
Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 1 of them a synthesis that pooled it.
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Who cites it
110 citing papers in PubMed, 1 synthesis or guideline pooled it.
- GWAS meta-analysis using a graph-based pan-genome enhanced gene mining efficiency for agronomic traits in rice.Nature communications · 2025Pooled it
- Feasibility and pitfalls of combining small subpopulations for genome-wide association analysis of maize (Zea mays L.) kernel traits.The plant genome · 2026Article
- Metabolomics and Transcriptomics Reveal the Function of Trigonelline and Its Synthesis Gene BrNANMT in Clubroot Susceptibility of Brassica rapa.Plant, cell & environment · 2026Article
- Comparative Genome-Wide Association Studies of Metabolites and Grain-Related Traits in Common Wheat.Plant biotechnology journal · 2026Article
- A High-Efficiency Yet Sustainable Fresh-Keeping Strategy Inspired by Calyx ofExploration (Beijing, China) · 2026Article
- Integrating predictive models and GWAS to identify candidate loci and genes for agronomic traits in rice.Frontiers in plant science · 2026Article
- Learning from nature: phytochemical strategies to protect against UV-B damage.Nature communications · 2025Review
- Multi-omics approaches investigate the bitter flavor in the shoot of Bambusa oldhamii Munro.BMC plant biology · 2025Article
- Multi-omics-Based Construction of ncRNA-Gene-Metabolite Networks Provides New Insights Into Metabolic Regulation Under Salt Stress in Rice.Rice (New York, N.Y.) · 2025Article
- Transcripts and genomic intervals associated with variation in metabolite abundance in maize leaves under field conditions.BMC genomics · 2025Article
- Metabolic marker-assisted genomic prediction improves hybrid breeding.Plant communications · 2025Article
- Mapping and functional characterization of the golden fruit 1 (gf1) in melon (Cucumis melo L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-wide association study of metabolic traits in the giant duckweed Spirodela polyrhiza.Plant biology (Stuttgart, Germany) · 2025Article
- Phylogenomic and synteny analysis of BAHD and SCP/SCPL gene families reveal their evolutionary histories in plant specialized metabolism.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Cellulose synthase-like OsCSLD4: a key regulator of agronomic traits, disease resistance, and metabolic indices in rice.Plant cell reports · 2024Article
- Integrating GWAS with a gene co-expression network better prioritizes candidate genes associated with root metaxylem phenes in maize.The plant genome · 2024Article
- Dynamic metabolite QTL analyses provide novel biochemical insights into kernel development and nutritional quality improvement in common wheat.Plant communications · 2024Article
- Cis-eQTLs in seven duck tissues identify novel candidate genes for growth and carcass traits.BMC genomics · 2024Article
- New Insights into the Genetic Basis of Lysine Accumulation in Rice Revealed by Multi-Model GWAS.International journal of molecular sciences · 2024Article
- Multi-omics provide insights into the regulation of DNA methylation in pear fruit metabolism.Genome biology · 2024Article
50 more citing papers are in PubMed but not listed here.
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The plant metabolome is characterized by extensive diversity and is often regarded as a bridge between genome and phenome. Here we report metabolic and phenotypic genome-wide studies (mGWAS and pGWAS) in rice grain that, in addition to previous metabolic GWAS in rice leaf and maize kernel, show both distinct and overlapping aspects of genetic control of metabolism within and between species. We identify new candidate genes potentially influencing important metabolic and/or morphological traits. We show that the differential genetic architecture of rice metabolism between different tissues is in part determined by tissue specific expression. Using parallel mGWAS and pGWAS we identify new candidate genes potentially responsible for variation in traits such as grain colour and size, and provide evidence of metabotype-phenotype linkage. Our study demonstrates a powerful strategy for interactive functional genomics and metabolomics in plants, especially the cloning of minor QTLs for complex phenotypic traits.
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