Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcription profiling of wheat expression level polymorphism study parental genotypes 2 biological reps


ABSTRACT: The use of statistical tools established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait loci (QTL) analysis can associate expression of genes or groups of genes with particular genomic regions and thereby identify regions that play a role in the regulation of gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x AC Domain was used. This population had previously been mapped with microsatellites and includes a full QTL analysis for agronomic and seed quality traits. Expression analysis from 5 day post anthesis developing seed was conducted on 39 of the 41 DH lines using the Affymetrix wheat array. Expression analysis of developing seeds from field grown material identified 1,327 sequences represented by Affymetrix probe sets whose expression varied significantly between genotypes of the population. A sub-set of 378 transcripts were identified that each mapped to a single chromosome interval illustrating that major expression QTLs can be found in wheat. Genomic regions corresponding to multiple expression QTLs were identified that were coincident with previous identified seed quality trait QTL. These regions may be important regulatory regions governing economically important traits. Comparison of expression mapping data with physical mapping for a sub-set of sequences showed that both cis and trans acting expression QTLs were present. Experiment Overall Design: The two parental genotypes of mapping population RL4452 x AC Domain with 2 biological replicates per genotype. Grown in the field together with the mapping population.

ORGANISM(S): Triticum aestivum

SUBMITTER: Mark Jordan 

PROVIDER: E-GEOD-4929 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Identifying regions of the wheat genome controlling seed development by mapping expression quantitative trait loci.

Jordan Mark C MC   Somers Daryl J DJ   Banks Travis W TW  

Plant biotechnology journal 20070326 3


Statistical methods established for the genetic analysis of quantitative traits can be applied to gene expression data. Quantitative trait locus (QTL) analysis can associate the expression of genes or groups of genes with particular genomic regions, and thereby identify regions regulating gene expression. A segregating population of 41 doubled haploid (DH) lines from the hard red spring wheat cross RL4452 x 'AC Domain' was used to map expression level polymorphisms. This population had previousl  ...[more]

Similar Datasets

2008-06-14 | E-GEOD-5937 | biostudies-arrayexpress
2008-06-14 | E-GEOD-5939 | biostudies-arrayexpress
2008-06-13 | E-GEOD-4935 | biostudies-arrayexpress
2008-06-14 | E-GEOD-5942 | biostudies-arrayexpress
2010-06-21 | E-GEOD-12594 | biostudies-arrayexpress
2014-05-14 | E-GEOD-57629 | biostudies-arrayexpress
2007-03-25 | GSE4935 | GEO
2007-03-25 | GSE4929 | GEO
2007-03-25 | GSE5939 | GEO
2007-03-25 | GSE5937 | GEO