Quantitative Expression Analysis of TaSOS1 and TaSOS4 Genes in Cultivated and Wild Wheat Plants Under Salt Stress

Abstract

Salt stress is a mixture of ionic, osmotic, and oxidative stresses. The expression of TaSOS1 (a transmembrane Na(+)/H(+) antiporter) and TaSOS4 [a cytoplasmic pyridoxal (PL) kinase] genes were measured in four different salinity levels and different time courses of salinity exposure using qRT-PCR technique. Mahuti (salt tolerant) and Alamut (salt sensitive) cultivars were used as cultivated wheat, and T. boeticum and Aegilops crassa as wild wheat plants. Salt-induced expression of TaSOS1 in these wild wheat plants indicates the presence of active TaSOS1 gene on the genomes A and D. The TaSOS1 and TaSOS4 transcript levels were found to be downregulated after salt treatment in all cultivars except in A. crassa, which was in contrast with its expression pattern in roots that was being upregulated from a very low-basal expression, after salt treatments. Duncan's Multiple Range Test showed a significant difference between expression in the 200-mM NaCl concentration with the 50 and 100 mM for the TaSOS1 gene, and no significant difference for TaSOS4. Lack of significant correlation between the TaSOS1 and TaSOS4 gene expressions confirms the theory that PLP has no significant effect on the expression of the TaSOS1 gene in wheat leaves.

Differential transcript abundance of salt overly sensitive (SOS) pathway genes is a determinant of salinity stress tolerance of wheat

“…sequestration into the vacuoles of root cells as revealed by confocal microscopy using sodium binding fluorescent dye. Similarly, Ramezani et al (2013) studied the expression of SOS1 and SOS4 genes in cultivated and wild wheat genotypes and concluded that all the three alleles of SOS1 gene are active in salinity tolerance function.…”

“…Although SOS1 homologues have been identified and functionally characterized in durum (Xu et al 2008) and bread wheat (Cuin et al 2011), none of these studies examined the whole SOS pathway including SOS2 and SOS3 genes. Ramezani et al (2013) studied the expression of SOS1 and SOS4 genes in cultivated and wild wheat plants and concluded that all the three alleles of SOS1 gene are active in their function. In present study we aimed to examine the expression of all the genes of SOS pathway in bread wheat genotypes with contrasting salinity tolerance and to analyze their association with salinity tolerance.…”

Isolation and in silico functional analysis of MtATP6, a 6-kDa subunit of mitochondrial F1F0-ATP synthase, in response to abiotic stress

“…HM173320 for RMtATP6; GQ503255 for WMtATP6; GU183146 for AcMtATP6, and GU183145, for TmMtATP6 in rice, wheat, A. crassa, and Triti-A.A. Moghadam et al cum monococcum subsp aegilopoides or T. boeticum, respectively; Moghadam et al, 2009). We chose wild wheat relatives (Triticeae) because they represent a useful source for investigating genetic variation in abiotic stress tolerance (Farooq, 2009;Ramezani et al, 2012), and they are well adapted to dry environments (Nevo and Chen, 2010). Accordingly, A. crassa and T. monococcum of the Triticeae tribe are very interesting since gene transfer from this stressadapted species to wheat is rather easy (Valkoun et al, 2004).…”

A novel pairwise comparison method for in silico discovery of statistically significant cis-regulatory elements in eukaryotic promoter regions: Application to Arabidopsis

“…Comparative promoter analysis is a promising strategy for the detection of common and different CREs within promoters of the genes with similar or different expression profiles (Cohen et al, 2006;Conceição et al, 2010;Deihimi et al, 2013;Dieterich et al, 2005;Gao et al, 2013;Gómez-Porras et al, 2007;Maruyama et al, 2012;Moghadam et al, 2013;Ramezani et al, 2013;Zamani Babgohari et al, 2013). While there are several studies indicating that number of occurrences of CREs has a significant effect on the expression pattern of the target gene (Bussemaker et al, 2001;Foat et al, 2005;Mehrotra et al, 2011;Pilpel et al, 2001;Rushton et al, 2002), the lack of powerful and reliable statistical method to compare CREs occurrences between promoters is a major drawback in this area of computational biology.…”