Identification of Candidate Genes Responsible for Stem Pith Production Using Expression Analysis in Solid-Stemmed Wheat
Oiestad, Alanna J.
Martin, Jack M.
Varella, Andrea C.
Giroux, Michael J.
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The wheat stem sawfly (WSS) is an economically important pest of wheat in the Northern Great Plains. The primary means of WSS control is resistance associated with the single quantitative trait locus (QTL) Qss. msub. 3BL, which controls most stem solidness variation. The goal of this study was to identify stem solidness candidate genes via RNA-seq. This study made use of 28 single nucleotide polymorphism (SNP) makers derived from expressed sequence tags (ESTs) linked to Qss. msub. 3BL contained within a 5.13 cM region. Allele specific expression of EST markers was examined in stem tissue for solid and hollow-stemmed pairs of two spring wheat near isogenic lines (NILs) differing for the Qss. msub-3BL QTL. Of the 28 ESTs, 13 were located within annotated genes and 10 had detectable stem expression. Annotated genes corresponding to four of the ESTs were differentially expressed between solid and hollow-stemmed NILs and represent possible stem solidness gene candidates. Further examination of the 5.13 cM region containing the 28 EST markers identified 260 annotated genes. Twenty of the 260 Qss. msub. 3BL linked genes were up-regulated in hollow NIL stems, while only seven genes were up-regulated in solid NIL stems. An O-methyltransferase within the region of interest was identified as a candidate based on differential expression between solid and hollow-stemmed NILs and putative function. Further study of these candidate genes may lead to the identification of the gene(s) controlling stem solidness and an increased ability to select for wheat stem solidness and manage WSS.
Oiestad, Alanna J. , Jack M. Martin, Jason Cook, Andrea C. Varella, and Mike J. Giroux. "Identification of Candidate Genes Responsible for Stem Pith Production Using Expression Analysis in Solid-Stemmed Wheat." Plant Genome 10, no. 2 (July 2017). DOI:https://dx.doi.org/10.3835/plantgenome2017.02.0008.