ArticlePLoS genetics2009
A Multiparent Advanced Generation Inter-Cross to fine-map quantitative traits in Arabidopsis thaliana.
Article in PLoS genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 321 papers.
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Who cites it
321 citing papers in PubMed.
- CYClones: a highly powered, fully genotyped, eight-parent yeast mapping population.G3 (Bethesda, Md.) · 2026Article
- Pervasive context-dependent effects in the genetic architecture of complex and quantitative traits revealed by a powerful multiparent mapping population in yeast.PLoS genetics · 2026Article
- Multi-parent mapping reveals epistatic architecture and elite haplotypes for multi-trait improvement in cotton.Genome biology · 2026Article
- Dissecting Agronomically favorable genotypes in temperate japonica rice via haplotype analysis of a Japan-MAGIC population.The Plant journal : for cell and molecular biology · 2026Article
- Discovery and characterization of gene-by-environment and epistatic genetic effects in a vertebrate model.Cell genomics · 2026Article
- GWAS and Candidate Gene Prediction of Elemental Accumulation Traits in Rice Using a Multiparental Population.Rice (New York, N.Y.) · 2026Article
- GWAS reveal SUBER GENE1-mediated suberization via type one phosphatases.Nature plants · 2026Article
- Article
- Understanding the genetics of quality traits in groundnut: GWAS highlights drought-responsive markers and candidate genes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Review
- Trans-QTL Alliance of HKT1 and PHL7 Modulate Salinity Stress Tolerance and Enhance Crop Yield Endurance.Plant biotechnology journal · 2026Article
- Article
- Uncovering adaptation with a new Arabidopsis thaliana multiparent intercross population.Genetics · 2026Article
- Leveraging low-cost short-read sequencing: revolutionizing complex trait genetics.Molecular biology and evolution · 2026Article
- Genetic dynamics drive maize growth and breeding.Genome biology · 2026Article
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Root-TransUNet enables high-throughput phenotyping ofFrontiers in plant science · 2026Article
- Multi-model genome-wide association analysis of agronomic traits in a Kabuli chickpea MAGIC-subset population (Frontiers in plant science · 2026Article
- Pervasive context-dependent effects in the genetic architecture of complex and quantitative traits revealed by a powerful multiparent mapping population in yeast.bioRxiv : the preprint server for biology · 2025Article
- CYClones: A highly powered, fully genotyped, 8-parent yeast mapping population.bioRxiv : the preprint server for biology · 2025Article
261 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors.
Funding
Abstract
Identifying natural allelic variation that underlies quantitative trait variation remains a fundamental problem in genetics. Most studies have employed either simple synthetic populations with restricted allelic variation or performed association mapping on a sample of naturally occurring haplotypes. Both of these approaches have some limitations, therefore alternative resources for the genetic dissection of complex traits continue to be sought. Here we describe one such alternative, the Multiparent Advanced Generation Inter-Cross (MAGIC). This approach is expected to improve the precision with which QTL can be mapped, improving the outlook for QTL cloning. Here, we present the first panel of MAGIC lines developed: a set of 527 recombinant inbred lines (RILs) descended from a heterogeneous stock of 19 intermated accessions of the plant Arabidopsis thaliana. These lines and the 19 founders were genotyped with 1,260 single nucleotide polymorphisms and phenotyped for development-related traits. Analytical methods were developed to fine-map quantitative trait loci (QTL) in the MAGIC lines by reconstructing the genome of each line as a mosaic of the founders. We show by simulation that QTL explaining 10% of the phenotypic variance will be detected in most situations with an average mapping error of about 300 kb, and that if the number of lines were doubled the mapping error would be under 200 kb. We also show how the power to detect a QTL and the mapping accuracy vary, depending on QTL location. We demonstrate the utility of this new mapping population by mapping several known QTL with high precision and by finding novel QTL for germination data and bolting time. Our results provide strong support for similar ongoing efforts to produce MAGIC lines in other organisms.
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