ArticlePloS one2018
Identification of candidate genes for gelatinization temperature, gel consistency and pericarp color by GWAS in rice based on SLAF-sequencing.
Article in PloS one, 2018. 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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16 citing papers in PubMed.
- Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping.Scientific reports · 2025Article
- Genome-wide association study and BSR-seq identify nitrate reductase-related genes in rice landraces (Oryza sativa L.).The plant genome · 2025Article
- A Novel Allelic Variant ofCells · 2025Article
- Understanding of Plant Salt Tolerance Mechanisms and Application to Molecular Breeding.International journal of molecular sciences · 2024Review
- GWAS and Transcriptomic Analysis Identify OsRING315 as a New Candidate Gene Controlling Amylose Content and Gel Consistency in Rice.Rice (New York, N.Y.) · 2024Article
- Assessing Grain Quality Changes in White and Black Rice under Water Deficit.Plants (Basel, Switzerland) · 2023Article
- Unravelling marker trait associations linking nutritional value with pigmentation in rice seed.The plant genome · 2023Article
- Genome-Wide Association Study of Starch Properties in Local Thai Rice.Plants (Basel, Switzerland) · 2023Article
- Review
- Genome-wide association study using specific-locus amplified fragment sequencing identifies new genes influencing nitrogen use efficiency in rice landraces.Frontiers in plant science · 2023Article
- Genome-Wide Association Study of Pericarp Color in Rice Using Different Germplasm and Phenotyping Methods Reveals Different Genetic Architectures.Frontiers in plant science · 2022Article
- Natural Variation inFrontiers in plant science · 2021Article
- Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice.Frontiers in plant science · 2020Article
- Genetic Analysis for Cooking and Eating Quality of Super Rice and Fine Mapping of a Novel LocusFrontiers in plant science · 2020Article
- The Genetic Basis and Nutritional Benefits of Pigmented Rice Grain.Frontiers in genetics · 2020Review
- Using hyperspectral analysis as a potential high throughput phenotyping tool in GWAS for protein content of rice quality.Plant methods · 2019Article
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11 authors.
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Abstract
Rice is an important cereal in the world. The study of the genetic basis of important agronomic traits in rice landraces and identification of genes will facilitate the breed improvement. Gelatinization temperature (GT), gel consistency (GC) and pericarp color (PC) are important indices of rice cooking and eating quality evaluation and potential nutritional importance, which attract wide attentions in the application of genetic and breeding. To dissect the genetic basis of GT, GC and PC, a total of 419 rice landraces core germplasm collections consisting of 330 indica lines, 78 japonica lines and 11 uncertain varieties were planted, collected, then GT, GC, PC were measured for two years, and sequenced using specific-locus amplified fragment sequencing (SLAF-seq) technology. In this study, 261,385,070 clean reads and 56,768 polymorphic SLAF tags were obtained, which a total of 211,818 single nucleotide polymorphisms (SNPs) were discovered. With 208,993 SNPs meeting the criterion of minor allele frequency (MAF) > 0.05 and integrity> 0.5, the phylogenetic tree and population structure analysis were performed for all 419 rice landraces, and the whole panel mainly separated into six subpopulations based on population structure analysis. Genome-wide association study (GWAS) was carried out for the whole panel, indica subpanel and japonica subpanel with subset SNPs respectively. One quantitative trait locus (QTL) on chromosome 6 for GT was detected in the whole panel and indica subpanel, and one QTL associated with GC was located on chromosome 6 in the whole panel and indica subpanel. For the PC trait, 8 QTLs were detected in the whole panel on chromosome 1, 3, 4, 7, 8, 10 and 11, and 7 QTLs in the indica subpanel on chromosome 3, 4, 7, 8, 10 and 11. For the three traits, no QTL was detected in japonica subpanel, probably because of the polymorphism repartition between the subpanel, or small population size of japonica subpanel. This paper provides new gene resources and insights into the molecular mechanisms of important agricultural trait of rice phenotypic variation and genetic improvement of rice quality variety breeding.
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