Genome-Wide Expression Analysis of Root Tips in Contrasting Rice Genotypes Revealed Novel Candidate Genes for Water Stress Adaptation.

Root system architecture (RSA) is an important agronomic trait with vital roles in plant productivity under water stress conditions. A deep and branched root system may help plants to avoid water stress by enabling them to acquire more water and nutrient resources. Nevertheless, our knowledge of the genetics and molecular control mechanisms of RSA is still relatively limited. In this study, we analyzed the transcriptome response of root tips to water stress in two well-known genotypes of rice: IR64, a high-yielding lowland genotype, which represents a drought-susceptible and shallow-rooting genotype; and Azucena, a traditional, upland, drought-tolerant and deep-rooting genotype. We collected samples from three zones (Z) of root tip: two consecutive 5 mm sections (Z1 and Z2) and the following next 10 mm section (Z3), which mainly includes meristematic and maturation regions. Our results showed that Z1 of Azucena was enriched for genes involved in cell cycle and division and root growth and development whereas in IR64 root, responses to oxidative stress were strongly enriched. While the expansion of the lateral root system was used as a strategy by both genotypes when facing water shortage, it was more pronounced in Azucena. Our results also suggested that by enhancing meristematic cell wall thickening for insulation purposes as a means of confronting stress, the sensitive IR64 genotype may have reduced its capacity for root elongation to extract water from deeper layers of the soil. Furthermore, several members of gene families such as NAC, AP2/ERF, AUX/IAA, EXPANSIN, WRKY, and MYB emerged as main players in RSA and drought adaptation. We also found that HSP and HSF gene families participated in oxidative stress inhibition in IR64 root tip. Meta-quantitative trait loci (QTL) analysis revealed that 288 differentially expressed genes were colocalized with RSA QTLs previously reported under drought and normal conditions. This finding warrants further research into their possible roles in drought adaptation. Overall, our analyses presented several major molecular differences between Azucena and IR64, which may partly explain their differential root growth responses to water stress. It appears that Azucena avoided water stress through enhancing growth and root exploration to access water, whereas IR64 might mainly rely on cell insulation to maintain water and antioxidant system to withstand stress. We identified a large number of novel RSA and drought associated candidate genes, which should encourage further exploration of their potential to enhance drought adaptation in rice.

Comparative physiology and proteomic analysis of two wheat genotypes contrasting in drought tolerance.

Comparative physiology and proteomic analyses were conducted to monitor the stress response of two wheat genotypes (SERI M 82 (SE) and SW89.5193/kAu2 (SW)) with contrasting responses to drought stress. Under stress condition, the tolerant genotype (SE) produced higher shoot and root biomasses, longer roots and accumulated higher level of ABA in leaves. Physiological measurements suggested that the SE genotype was more efficient in water absorption and could preserve more water presumably by controlling stomata closure. Proteomic analysis showed an increased abundance of proteins related to defense and oxidative stress responses such as GLPs, GST, and SOD, and those related to protein processing such as small HSPs in roots of both genotypes in response to drought stress. Interestingly, the abundance of proteins such as endo-1,3-beta-glucosidase, peroxidase, SAMS, and MDH significantly increased in roots or leaves of the SE genotype and decreased in that of the SW one. In addition, an increased abundance of APX was detected in leaves and roots of the SE genotype and a decreased abundance of 14-3-3 and ribosomal proteins were noted in the SW one in response to drought stress. Our findings led to a better understanding about the integrated physiology and proteome responses of wheat genotypes with nearly contrasting responses to drought stress. BIOLOGICAL SIGNIFICANCE: We applied a comparative physiology and proteomic analysis to decipher the differential responses of two contrasting wheat genotypes to drought stress. Based on physiological measurements the tolerant genotype (SE) showed better drought response by developing deep root system, higher root and shoot biomasses, and higher level of ABA in leaves. Proteomic analysis showed an increased abundance of proteins related to defense and oxidative stress responses such as GLPs, GST, and SOD, and those related to protein processing such as small HSPs in roots of both genotypes in response to drought stress. In addition, the abundance of proteins such as glucan endo-1,3-beta-glucosidase, peroxidases, SAMS, and MDH increased in roots or leaves of the tolerant genotype (SE) and decreased in that of the sensitive genotype (SW). Overall, proteins related to oxidative stress, protein processing and photosynthesis showed decreased abundance to a greater extent in the sensitive genotype (SW).

Validation of EST-derived STS markers localized on Qfhs.ndsu-3BS for Fusarium head blight resistance in wheat using a 'Wangshuibai' derived population.

A few EST-derived STS markers localized on Qfhs.ndsu-3BS, a major QTL for resistance to Fusarium head blight (FHB) in wheat, have been previously identified in the 'Sumai 3'/'Stoa' population. In this study, we used a 'Wangshuibai' (resistant) /'Seri82' (susceptible) derived population, linkage group, QTL, and quantitative gene expression analysis to assess the genetic background dependence and stability of the EST-derived STS markers for use in marker aided selection to improve FHB resistance in wheat. Based on our results, a QTL in the map interval of Xsts3B-138_1-Xgwm493 on chromosome 3BS was detected for FHB resistance, which accounted for up to 16% of the phenotypic variation. BLASTN analysis indicated that Xsts3B-138_1 sequence had significant similarity with the resistance gene analogue. Real-time quantitative PCR showed that the relative expression of Xsts3B-138_1 in 'Wangshuibai' at 96 h after inoculation was 2.6 times higher than 'Seri82'. Our results underlined that EST-derived STS3B-138 markers could be predominantly used in marker aided selection to improve FHB resistance in wheat.