ArticleBMC genomics2020
Genome-wide association study reveals that different pathways contribute to grain quality variation in sorghum (Sorghum bicolor).
Article in BMC genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 65 citations in OpenAlex.
- Genome-wide association analysis reveals genetic variations and candidate genes associated with tannin and starch contents in sorghum.BMC genomics · 2026Article
- Discovery of the loci associated with the test weight and capsule seed weight variation in Sesame (Sesamum indicum L.).Plant molecular biology · 2026Article
- Genome editing ofCurrent research in food science · 2026Article
- Research Progress on High-Protein Peanut (Plants (Basel, Switzerland) · 2025Review
- MINE: maximally informative next experiment-toward a new GWAS experimental design and methodology.G3 (Bethesda, Md.) · 2025Article
- Evaluation of cold tolerance in sorghum germplasm from the Chishui River Basin in China: insights from germination, field trials, and physiological assays.Frontiers in plant science · 2025Article
- Article
- Transcriptome and metabolome analyses reveal regulatory networks associated with nutrition synthesis in sorghum seeds.Communications biology · 2024Article
- Synergizing biotechnology and natural farming: pioneering agricultural sustainability through innovative interventions.Frontiers in plant science · 2024Review
- Genomic loci associated with grain protein and mineral nutrients concentrations inFrontiers in plant science · 2024Article
- Genetic diversity, population structure, and a genome-wide association study of sorghum lines assembled for breeding in Uganda.Frontiers in plant science · 2024Article
- Genetic variation for grain nutritional profile and yield potential in sorghum and the possibility of selection for drought tolerance under irrigated conditions.BMC genomics · 2023Article
- Genetic architecture of tuber-bound free amino acids in potato and effect of growing environment on the amino acid content.Scientific reports · 2023Article
- Multielement analysis coupled with chemometrics modelling for geographical origin classification of teff [Eragrostis tef (Zuccagni) Trotter] grains from Amhara Region, Ethiopia.BMC chemistry · 2023Article
- The Identification of a Yield-Related Gene Controlling Multiple Traits Using GWAS in Sorghum (Plants (Basel, Switzerland) · 2023Article
- GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits.Frontiers in plant science · 2023Article
- Recent advancements in the breeding of sorghum crop: current status and future strategies for marker-assisted breeding.Frontiers in genetics · 2023Review
- Functional genomic effects of indels using Bayesian genome-phenome wide association studies in sorghum.Frontiers in genetics · 2023Article
- Novel QTL for chilling tolerance at germination and early seedling stages in sorghum.Frontiers in genetics · 2023Article
- Stable sorghum grain quality QTL were identified using SC35 × RTx430 mapping population.The plant genome · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundIn sorghum (Sorghum bicolor), one paramount breeding objective is to increase grain quality. The nutritional quality and end use value of sorghum grains are primarily influenced by the proportions of tannins, starch and proteins, but the genetic basis of these grain quality traits remains largely unknown. This study aimed to dissect the natural variation of sorghum grain quality traits and identify the underpinning genetic loci by genome-wide association study.
resultsLevels of starch, tannins and 17 amino acids were quantified in 196 diverse sorghum inbred lines, and 44 traits based on known metabolic pathways and biochemical interactions amongst the 17 amino acids calculated. A Genome-wide association study (GWAS) with 3,512,517 SNPs from re-sequencing data identified 14, 15 and 711 significant SNPs which represented 14, 14, 492 genetic loci associated with levels of tannins, starch and amino acids in sorghum grains, respectively. Amongst these significant SNPs, two SNPs were associated with tannin content on chromosome 4 and colocalized with three previously identified loci for Tannin1, and orthologs of Zm1 and TT16 genes. One SNP associated with starch content colocalized with sucrose phosphate synthase gene. Furthermore, homologues of opaque1 and opaque2 genes associated with amino acid content were identified. Using the KEGG pathway database, six and three candidate genes of tannins and starch were mapped into 12 and 3 metabolism pathways, respectively. Thirty-four candidate genes were mapped into 16 biosynthetic and catabolic pathways of amino acids. We finally reconstructed the biosynthetic pathways for aspartate and branched-chain amino acids based on 15 candidate genes identified in this study.
conclusionPromising candidate genes associated with grain quality traits have been identified in the present study. Some of them colocalized with previously identified genetic regions, but novel candidate genes involved in various metabolic pathways which influence grain quality traits have been dissected. Our study acts as an entry point for further validation studies to elucidate the complex mechanisms controlling grain quality traits such as tannins, starch and amino acids in sorghum.
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