ArticleBMC genomics2019
Whole-genome mapping identified novel "QTL hotspots regions" for seed storability in soybean (Glycine max L.).
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Development and characterization of biparental mapping population for the properties of seed and seed coat applicable to seed longevity in soybean (Glycine max (L.) Merrill).BMC plant biology · 2025Article
- Article
- Identification of hub genes regulating seed germination viability in soybean via comparative transcriptome analysis and WGCNA.BMC plant biology · 2025Article
- Genome-wide association study reveals the QTLs and candidate genes associated with seed longevity in soybean (Glycine max (L.) Merrill).BMC plant biology · 2025Article
- Identification of major QTLs for seed vigor and growth-related traits using a biparental population in soybean.Frontiers in genetics · 2025Article
- Identification of superior and rare haplotypes to optimize branch number in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Evaluation of diverse soybean genotypes for seed longevity and its association with seed coat colour.Scientific reports · 2023Article
- Genome-wide analysis of cold imbibition stress in soybean,Frontiers in plant science · 2023Article
- Insights into mechanisms of seed longevity in soybean: a review.Frontiers in plant science · 2023Review
- Discovery of genetic loci and causal genes for seed germination via deep re-sequencing in soybean.Molecular breeding : new strategies in plant improvement · 2022Article
- Genetic Aspects and Molecular Causes of Seed Longevity in Plants-A Review.Plants (Basel, Switzerland) · 2022Review
- GmAOC4 modulates seed germination by regulating JA biosynthesis in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Population structure and genetic diversity characterization of soybean for seed longevity.PloS one · 2022Article
- Dynamic Changes in Membrane Lipid Metabolism and Antioxidant Defense During Soybean (Frontiers in plant science · 2022Article
- Effects of Phospholipase Dε Overexpression on Soybean Response to Nitrogen and Nodulation.Frontiers in plant science · 2022Article
- Identification, Analysis, and Confirmation of Seed Storability-Related Loci in Dongxiang Wild Rice (Genes · 2021Article
- Quantitative Trait Locus Mapping of Seed Vigor in Soybean under -20 °C Storage and Accelerated Aging Conditions via RAD Sequencing.Current issues in molecular biology · 2021Article
- Identification and Validation of Major QTLs, Epistatic Interactions, and Candidate Genes for Soybean Seed Shape and Weight Using Two Related RIL Populations.Frontiers in genetics · 2021Article
- Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome.Frontiers in plant science · 2021Article
- QTL mapping of PEG-induced drought tolerance at the early seedling stage in sesame using whole genome re-sequencing.PloS one · 2021Article
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6 authors.
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Abstract
backgroundSeed aging in soybean is a serious challenge for agronomic production and germplasm preservation. However, its genetic basis remains largely unclear in soybean. Unraveling the genetic mechanism involved in seed aging, and enhancing seed storability is an imperative goal for soybean breeding. The aim of this study is to identify quantitative trait loci (QTLs) using high-density genetic linkage maps of soybean for seed storability. In this regard, two recombinant inbred line (RIL) populations derived from Zhengyanghuangdou × Meng 8206 (ZM6) and Linhefenqingdou × Meng 8206 (LM6) crosses were evaluated for three seed-germination related traits viz., germination rate (GR), normal seedling length (SL) and normal seedling fresh weight (FW) under natural and artificial aging conditions to map QTLs for seed storability.
resultsA total of 34 QTLs, including 13 QTLs for GR, 11 QTLs for SL and 10 QTLs for FW, were identified on 11 chromosomes with the phenotypic variation ranged from 7.30 to 23.16% under both aging conditions. All these QTLs were novel, and 21 of these QTLs were clustered in five QTL-rich regions on four different chromosomes viz., Chr3, Chr5, Chr17 &Chr18, among them the highest concentration of seven and six QTLs were found in "QTL hotspot A" (Chr17) and "QTL hotspot B" (Chr5), respectively. Furthermore, QTLs within all the five QTL clusters are linked to at least two studied traits, which is also supported by highly significant correlation between the three germination-related traits. QTLs for seed-germination related traits in "QTL hotspot B" were found in both RIL populations and aging conditions, and also QTLs underlying "QTL hotspot A" are identified in both RIL populations under artificial aging condition. These are the stable genomic regions governing the inheritance of seed storability in soybean, and will be the main focus for soybean breeders.
conclusionThis study uncovers the genetic basis of seed storability in soybean. The newly identified QTLs provides valuable information, and will be main targets for fine mapping, candidate gene identification and marker-assisted breeding. Hence, the present study is the first report for the comprehensive and detailed investigation of genetic architecture of seed storability in soybean.
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