Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster
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Ober, Ulrike; Ayroles, Julien F.; Stone, Eric; Richards, Stephen; Zhu, Dianhui; Gibbs, R A; Stricker, Christian; Gianola, Daniel; Schlather, Martin; Mackay, Trudy FC; Simianer, Henner
Description
Predicting organismal phenotypes from genotype data is important for plant and animal breeding, medicine, and evolutionary biology. Genomic-based phenotype prediction has been applied for single-nucleotide polymorphism (SNP) genotyping platforms, but not using complete genome sequences. Here, we report genomic prediction for starvation stress resistance and startle response in Drosophila melanogaster, using ∼2.5 million SNPs determined by sequencing the Drosophila Genetic Reference Panel...[Show more]
Collections | ANU Research Publications |
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Date published: | 2012 |
Type: | Journal article |
URI: | http://hdl.handle.net/1885/153204 |
Source: | PLoS Genetics |
DOI: | 10.1371/journal.pgen.1002685 |
Access Rights: | Open Access |
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01_Ober_Using_Whole-Genome_Sequence_2012.pdf | 566.87 kB | Adobe PDF |
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