ArticlePloS one2014
Whole-genome quantitative trait locus mapping reveals major role of epistasis on yield of rice.
Article in PloS one, 2014. 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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Who cites it
16 citing papers in PubMed.
- CRISPR/Cas9 Mediated Genome Editing for Enhancing Abiotic Stress Tolerance in Rice: An Omics Guided Perspective.Molecular biotechnology · 2026Review
- Haplotype-based multi-locus genome-wide association study reveals genomic regions associated with reproductive stage high temperature stress tolerance in rice.Plant molecular biology · 2026Article
- Parent-offspring genotyped trios unravelling genomic regions with gametic and genotypic epistatic transmission bias on the cattle genome.Frontiers in genetics · 2023Article
- Genetic Bases of Complex Traits: From Quantitative Trait Loci to Prediction.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Review
- MIDESP: Mutual Information-Based Detection of Epistatic SNP Pairs for Qualitative and Quantitative Phenotypes.Biology · 2021Article
- Climate sensitivity of Cryptomeria japonica in two contrasting environments: Perspectives from QTL mapping.PloS one · 2020Article
- Exploring genetic architecture of grain yield and quality traits in a 16-way indica by japonica rice MAGIC global population.Scientific reports · 2019Article
- Imperfect Linkage Disequilibrium Generates Phantom Epistasis (& Perils of Big Data).G3 (Bethesda, Md.) · 2019Article
- Article
- Genomic Prediction of Genotypic Effects with Epistasis and Environment Interactions for Yield-Related Traits of Rapeseed (Frontiers in genetics · 2017Article
- Modeling Epistasis in Genomic Selection.Genetics · 2015Article
- Article
- A genome-wide identification of chromosomal regions determining nitrogen use efficiency components in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014Article
- Article
- Genetic interactions affecting human gene expression identified by variance association mapping.eLife · 2014Article
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3 authors.
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Abstract
Although rice yield has been doubled in most parts of the world since 1960s, thanks to the advancements in breeding technologies, the biological mechanisms controlling yield are largely unknown. To understand the genetic basis of rice yield, a number of quantitative trait locus (QTL) mapping studies have been carried out, but whole-genome QTL mapping incorporating all interaction effects is still lacking. In this paper, we exploited whole-genome markers of an immortalized F2 population derived from an elite rice hybrid to perform QTL mapping for rice yield characterized by yield per plant and three yield component traits. Our QTL model includes additive and dominance main effects of 1,619 markers and all pair-wise interactions, with a total of more than 5 million possible effects. The QTL mapping identified 54, 5, 28 and 4 significant effects involving 103, 9, 52 and 7 QTLs for the four traits, namely the number of panicles per plant, the number of grains per panicle, grain weight, and yield per plant. Most identified QTLs are involved in digenic interactions. An extensive literature survey of experimentally characterized genes related to crop yield shows that 19 of 54 effects, 4 of 5 effects, 12 of 28 effects and 2 of 4 effects for the four traits, respectively, involve at least one QTL that locates within 2 cM distance to at least one yield-related gene. This study not only reveals the major role of epistasis influencing rice yield, but also provides a set of candidate genetic loci for further experimental investigation.
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