This is data on a set of maize MAGIC lines. Largely 8 founders, but a ninth founder was introduced for some lines due to incompatibility between a pair of founders.
Dell'Acqua et al. (2015) Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays. Genome Biol. 16:167 doi:10.1186/s13059-015-0716-z
The raw data are available as supplemental tables and at Figshare:
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Founders genotypes (with replicates) https://doi.org/10.6084/m9.figshare.1437453; direct download https://ndownloader.figshare.com/files/2096751
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MAGIC lines' genotypes https://doi.org/10.6084/m9.figshare.1437449; direct download https://ndownloader.figshare.com/files/2096747
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Founders sequence-based genotypes (imputed) https://doi.org/10.6084/m9.figshare.1425350; direct download https://ndownloader.figshare.com/files/2081430
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Table S1: details of maize founder lines
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Table S2: MM population breeding design
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Table S3: genetic map
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Table S6: phenotypes (pollen shed, PS; plant height PH, ear height EH, transformed grain yield GYrad)
The following files comprise the data reformatted for R/qtl2. We're treating the data as a recombinant inbred lines with nine founders. For the founder genotypes, we combined the array-based data (which had a lot of missing or heterozygous calls for the 9th founder, CML91) with the sequence-based imputed genotypes.
maize_magic.json
, the control file (JSON format)maize_magic_geno.csv
, genotype data for the MAGIC linesmaize_magic_foundergeno.csv
, genotype data for the 9 founder linesmaize_magic_gmap.csv
, genetic mapmaize_magic_pmap.csv
, physical mapmaize_magic_crossinfo.csv
, cross information (number of generations followed by values indicating the relative contributions of the nine founders)maize_magic_pheno.csv
, phenotype datamaize_magic_phenocovar.csv
, phenotype covariates, with just descriptions of the phenotype
The data are also available as a zip file, maize_magic.zip
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See the R/qtl2 input file format.
Dell’Acqua M, et al. (2015) Genetic properties of the MAGIC maize population: a new platform for high definition QTL mapping in Zea mays. Genome Biol. 16:167 doi:10.1186/s13059-015-0716-z
Use with R/qtl2
Load these data into R directly from the web as follows:
library(qtl2)
file <- paste0("https://raw.githubusercontent.com/rqtl/",
"qtl2data/main/MaizeMAGIC/maize_magic.zip")
mm <- read_cross2(file)