Associative transcriptomics of traits in the polyploid crop species Brassica napus

Sequencing a genome and identifying genetic markers lays the groundwork for genome-wide association studies, but can be difficult to achieve for polyploid species. Harper et al. present an approach for performing association studies using genetic maps and markers generated from transcriptome sequenc...

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Published inNature biotechnology Vol. 30; no. 8; pp. 798 - 802
Main Authors HARPER, Andrea L, TRICK, Martin, HIGGINS, Janet, FRASER, Fiona, CLISSOLD, Leah, WELLS, Rachel, HATTORI, Chie, WERNER, Peter, BANCROFT, Ian
Format Journal Article
LanguageEnglish
Published New York, NY Nature Publishing Group 01.08.2012
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Abstract Sequencing a genome and identifying genetic markers lays the groundwork for genome-wide association studies, but can be difficult to achieve for polyploid species. Harper et al. present an approach for performing association studies using genetic maps and markers generated from transcriptome sequencing data alone and apply it to the polyploid crop Brassica napus.
AbstractList Sequencing a genome and identifying genetic markers lays the groundwork for genome-wide association studies, but can be difficult to achieve for polyploid species. Harper et al. present an approach for performing association studies using genetic maps and markers generated from transcriptome sequencing data alone and apply it to the polyploid crop Brassica napus.
Association genetics can quickly and efficiently delineate regions of the genome that control traits and provide markers to accelerate breeding by marker-assisted selection. But most crops are polyploid, making it difficult to identify the required markers and to assemble a genome sequence to order those markers. To circumvent this difficulty, we developed associative transcriptomics, which uses transcriptome sequencing to identify and score molecular markers representing variation in both gene sequences and gene expression, and correlate this with trait variation. Applying the method in the recently formed tetraploid crop Brassica napus, we identified genomic deletions that underlie two quantitative trait loci for glucosinolate content of seeds. The deleted regions contained orthologs of the transcription factor HAG1 (At5g61420), which controls aliphatic glucosinolate biosynthesis in Arabidopsis thaliana. This approach facilitates the application of association genetics in a broad range of crops, even those with complex genomes.
Audience Academic
Author CLISSOLD, Leah
WERNER, Peter
HATTORI, Chie
HARPER, Andrea L
FRASER, Fiona
BANCROFT, Ian
WELLS, Rachel
TRICK, Martin
HIGGINS, Janet
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Issue 8
Keywords Polyploidy
Cruciferae
Transcriptomics
Dicotyledones
Angiospermae
Marker assisted selection
Transcriptome
Brassica napus
Spermatophyta
Molecular marker
Cultivated plant
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Snippet Sequencing a genome and identifying genetic markers lays the groundwork for genome-wide association studies, but can be difficult to achieve for polyploid...
Association genetics can quickly and efficiently delineate regions of the genome that control traits and provide markers to accelerate breeding by...
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SubjectTerms Agronomy. Soil science and plant productions
Arabidopsis
Arabidopsis thaliana
Biological and medical sciences
Biomarkers
Biotechnology
Brassica napus
Brassica napus - genetics
Fundamental and applied biological sciences. Psychology
Gene expression
Gene Expression Profiling - methods
Genes
Genetic aspects
Genetic markers
Genetic Markers - genetics
Genetic research
Genetics
Genome-Wide Association Study - methods
Genomes
Genomics
Genomics - methods
Physiological aspects
Plant Proteins - genetics
Polyploidy
Quantitative genetics
Quantitative Trait Loci
Rape (Plant)
RNA
Seeds
Single nucleotide polymorphisms
Transcription Factors - genetics
Transcriptome
Title Associative transcriptomics of traits in the polyploid crop species Brassica napus
URI https://www.ncbi.nlm.nih.gov/pubmed/22820317
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