Open AccessA novel transcriptomic approach to identify candidate genes for grain quality traits in wheat
Author(s) -
Wan Yongfang,
Underwood Claudia,
Toole Geraldine,
Skeggs Peter,
Zhu Tong,
Leverington Michelle,
Griffiths Simon,
Wheeler Tim,
Gooding Mike,
Poole Rebecca,
Edwards Keith J.,
Gezan Salvador,
Welham Sue,
Snape John,
Mills E. N. Clare,
Mitchell Rowan A. C.,
Shewry Peter R.
Publication year - 2009
Publication title -
plant biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.525
H-Index - 115
eISSN - 1467-7652
pISSN - 1467-7644
DOI - 10.1111/j.1467-7652.2009.00405.x
Subject(s) - biology , transcriptome , gene , candidate gene , quantitative trait locus , genetics , computational biology , microbiology and biotechnology , gene expression
Summary 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.