A novel transcriptomic approach to identify candidate genes for grain quality traits in wheat

Yongfang Wan, Claudia Underwood, Geraldine Toole, Peter Skeggs, Tong Zhu, Michelle Leverington, Simon Griffiths, Tim Wheeler, Michael Gooding, Rebecca Poole, Keith J. Edwards, Salvador Gezan, Sue Welham, John Snape, E. N. Clare Mills, Rowan A. C. Mitchell, Peter R. Shewry

Research output: Contribution to journalArticlepeer-review

22 Citations (SciVal)


A novel methodology is described in which transcriptomics is combined with the measurement of bread-making quality and other agronomic traits for wheat genotypes grown in different environments (wet and cool or hot and dry conditions) to identify transcripts associated with these traits. Seven doubled haploid lines from the Spark × Rialto mapping population were selected to be matched for development and known alleles affecting quality. These were grown in polytunnels with different environments applied 14 days post-anthesis, and the whole experiment was repeated over 2 years. Transcriptomics using the wheat Affymetrix chip was carried out on whole caryopsis samples at two stages during grain filling. Transcript abundance was correlated with the traits for approximately 400 transcripts. About 30 of these were selected as being of most interest, and markers were derived from them and mapped using the population. Expression was identified as being under cis control for 11 of these and under trans control for 18. These transcripts are candidates for involvement in the biological processes which underlie genotypic variation in these traits.
Original languageEnglish
Pages (from-to)401-410
Number of pages10
JournalPlant Biotechnology Journal
Issue number5
Publication statusPublished - 01 Jun 2009


  • breadmaking
  • grain quality
  • transcriptome
  • wheat


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