Identification of Candidate Genes Responsible for Stem Pith Production Using Expression Analysis in Solid-Stemmed
The Plant Genome
|July 21, 2017
Summary
Researchers identified candidate genes for wheat stem solidness, a trait crucial for controlling the economically damaging wheat stem sawfly (WSS). This finding aids in developing resistant wheat varieties and managing WSS infestations.
Area of Science:
- Plant genetics
- Agricultural entomology
- Molecular biology
Background:
- The wheat stem sawfly (WSS) poses a significant economic threat to wheat production in the Northern Great Plains.
- Wheat stem solidness, controlled by a major quantitative trait locus (QTL), is the primary resistance mechanism against WSS.
Purpose of the Study:
- To identify candidate genes responsible for stem solidness in wheat using RNA sequencing (RNA-seq).
- To pinpoint genes within a specific genomic region linked to the stem solidness QTL.
Main Methods:
- RNA sequencing (RNA-seq) was employed to analyze gene expression in solid and hollow-stemmed wheat near-isogenic lines (NILs).
- Single nucleotide polymorphism (SNP) markers derived from expressed sequence tags (ESTs) were used to genotype and map genes within the QTL region.
- Allele-specific expression analysis was performed on EST markers in wheat stem tissues.
Main Results:
- Four annotated genes corresponding to EST markers showed differential expression between solid and hollow-stemmed NILs, indicating potential roles in stem solidness.
- Out of 260 annotated genes within the 5.13 cM QTL region, 20 were upregulated in hollow stems and seven in solid stems.
- A specific S-methyltransferase gene was identified as a strong candidate due to differential expression and putative function.
Conclusions:
- The study identified several candidate genes associated with wheat stem solidness, providing targets for future research.
- Understanding these genes can enhance marker-assisted selection for WSS resistance in wheat breeding programs.
- Further investigation into these candidate genes may lead to improved strategies for managing wheat stem sawfly (WSS).


