From Genetics to Functional Genomics: Improvement in Drought Signaling and Tolerance in Wheat.

Drought being a yield limiting factor has become a major threat to international food security. It is a complex trait and drought tolerance response is carried out by various genes, transcription factors (TFs), microRNAs (miRNAs), hormones, proteins, co-factors, ions, and metabolites. This complexity has limited the development of wheat cultivars for drought tolerance by classical breeding. However, attempts have been made to fill the lost genetic diversity by crossing wheat with wild wheat relatives. In recent years, several molecular markers including single nucleotide polymorphisms (SNPs) and quantitative trait loci (QTLs) associated with genes for drought signaling pathways have been reported. Screening of large wheat collections by marker assisted selection (MAS) and transformation of wheat with different genes/TFs has improved drought signaling pathways and tolerance. Several miRNAs also provide drought tolerance to wheat by regulating various TFs/genes. Emergence of OMICS techniques including transcriptomics, proteomics, metabolomics, and ionomics has helped to identify and characterize the genes, proteins, metabolites, and ions involved in drought signaling pathways. Together, all these efforts helped in understanding the complex drought tolerance mechanism. Here, we have reviewed the advances in wide hybridization, MAS, QTL mapping, miRNAs, transgenic technique, genome editing system, and above mentioned functional genomics tools for identification and utility of signaling molecules for improvement in wheat drought tolerance.

Barley transcript profiles under dehydration shock and drought stress treatments: a comparative analysis.

A microarray including 1654 cDNAs, mainly derived from dehydration-shocked barley leaf tissues, was utilized to monitor expression changes in leaves of barley plants subjected to slow drying conditions (7 d and 11 d: 7d-WS and 11d-WS) in soil and after rehydration. The results were compared with those obtained under shock-like conditions imposed with a 6 h dehydration treatment. A total number of 173 transcripts (approximately 10% of all transcripts profiled) were declared up- or down-regulated in at least one of the conditions tested. The majority of the transcripts were regulated by only one of the drought treatments, with 57% of the differentially expressed transcripts exclusively affected in the dehydration shock treatment, 6% at 7d-WS, 14% at 11d-WS, and 6% after rehydration. Irrespective of the low percentage of transcripts (10%) with similar expression changes between shock and slow stress treatments, a sizeable portion of these transcripts shared a common expression trend under the different drought treatment conditions, as evidenced by low but significant correlations between the fast occurring and the 7d-WS and 11d-WS treatments (r=0.32 and 0.41, P=0.001, respectively). These results are discussed with respect to the merit of different dehydration treatments in the investigation of the changes in transcript profiling.

Identification of drought-inducible genes and differentially expressed sequence tags in barley.

Drought limits cereal yields in several regions of the world and plant water status plays an important role in tolerance to drought. To investigate and understand the genetic and physiological basis of drought tolerance in barley, differentially expressed sequence tags (dESTs) and candidate genes for the drought response were mapped in a population of 167 F8 recombinant inbred lines derived from a cross between "Tadmor" (drought tolerant) and "Er/Apm" (adapted only to specific dry environments). One hundred sequenced probes from two cDNA libraries previously constructed from drought-stressed barley (Hordeum vulgare L., var. Tokak) plants and 12 candidate genes were surveyed for polymorphism, and 33 loci were added to a previously published map. Composite interval mapping was used to identify quantitative trait loci (QTL) associated with drought tolerance including leaf relative water content, leaf osmotic potential, osmotic potential at full turgor, water-soluble carbohydrate concentration, osmotic adjustment, and carbon isotope discrimination. A total of 68 QTLs with a limit of detection score > or =2.5 were detected for the traits evaluated under two water treatments and the two traits calculated from both treatments. The number of QTLs identified for each trait varied from one to 12, indicating that the genome contains multiple genes affecting different traits. Two candidate genes and ten differentially expressed sequences were associated with QTLs for drought tolerance traits.