Unknown,Transcriptomics,Genomics,Proteomics

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Transcriptome-based association genetics in hexaploid wheat


ABSTRACT: Many crop species have complex genomes, making the conventional pathway to associating molecular markers with trait variation, which includes genome sequencing, both expensive and time-consuming. We used a streamlined approach to rapidly develop a genomics platform for hexaploid wheat based on the inferred order of expressed sequences. This involved assembly of the transcriptomes for the progenitor genomes of bread wheat, the development of a genetic linkage map comprising 9495 mapped transcriptome-based SNP markers, use of this map to rearrange the genome sequence of Brachypodium distachyon into pseudomolecules representative of the genome organization of wheat and sequence similarity-based mapping onto this resource of the transcriptome assemblies. To demonstrate that this approximation of gene order in wheat is appropriate to underpin association genetics analysis, we undertook Associative Transcriptomics for straw biomass traits, identifying associations and even candidate genes for height, weight and width.

INSTRUMENT(S): Illumina Genome Analyzer IIx

ORGANISM(S): Triticum dicoccoides

SUBMITTER: Robert Davey 

PROVIDER: E-MTAB-4414 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Genome distribution of differential homoeologue contributions to leaf gene expression in bread wheat.

Harper Andrea L AL   Trick Martin M   He Zhesi Z   Clissold Leah L   Fellgett Alison A   Griffiths Simon S   Bancroft Ian I  

Plant biotechnology journal 20151007 5


Using a combination of de novo transcriptome assembly, a newly developed 9495-marker transcriptome SNP genetic linkage map and comparative genomics approaches, we developed an ordered set of nonredundant transcripts for each of the subgenomes of hexaploid wheat: A (47 160 unigenes), B (59 663 unigenes) and D (40 588 unigenes). We used these as reference sequences against which to map Illumina mRNA-Seq reads derived from young leaf tissue. Transcript abundance was quantified for each unigene. Usi  ...[more]

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