Generation and analysis of drought stressed subtracted expressed sequence tags from safflower (Carthamus tinctorius L.)

Drought is the most crucial environmental factor that limits productivity of many crop plants. Exploring novel genes and gene combinations is of primary importance in plant drought tolerance research. Stress tolerant genotypes/species are known to express novel stress responsive genes with unique functional significance. Hence, identification and characterization of stress responsive genes from these tolerant species might be a reliable option to engineer the drought tolerance. Safflower has been found to be a relatively drought tolerant crop and thus, it has been the choice of study to characterize the genes expressed under drought stress. In the present study, we have evaluated differential drought tolerance of two cultivars of safflower namely, A1 and Nira using selective physiological marker traits and we have identified cultivar A1 as relatively drought tolerant. To identify the drought responsive genes, we have constructed a stress subtracted cDNA library from cultivar A1 following subtractive hybridization. Analysis of?~1,300 cDNA clones resulted in the identification of 667 unique drought responsive ESTs. Protein homology search revealed that 521 (78?%) out of 667 ESTs showed significant similarity to known sequences in the database and majority of them previously identified as drought stress-related genes and were found to be involved in a variety of cellular functions ranging from stress perception to cellular protection. Remaining 146 (22?%) ESTs were not homologous to known sequences in the database and therefore, they were considered to be unique and novel drought responsive genes of safflower. Since safflower is a stress-adapted oil-seed crop this observation has great relevance. In addition, to validate the differential expression of the identified genes, expression profiles of selected clones were analyzed using dot blot (reverse northern), and northern blot analysis. We showed that these clones were differentially expressed under different abiotic stress conditions. The implications of the analyzed genes in abiotic stress tolerance are discussed in our study.     

Identification of biotic and abiotic stress up-regulated ESTs in Gossypium arboreum

Asiatic desi cotton (Gossypium arboreum) shows great potential against biotic and abiotic stresses. The stress resistant nature makes it a best source for the identification of biotic and abiotic stress resistant genes. As in many plants same set of genes show responding behavior against the various abiotic and biotic stresses. Thus in the present study the ESTs from the G. arboreum drought stressed leaves were subjected to find the up-regulated ESTs in abiotic and biotic stresses through homology and in-silico analysis. A cDNA library has been constructed from the drought stressed G. arboreum plant. 778 clones were randomly picked and sequenced. All these sequences were subjected to in-silico identification of biotic and abiotic up-regulated ESTs. Total 39 abiotic and biotic up-regulated ESTs were identified. The results were further validated by real-time PCR; by randomly selection of ten ESTs. These findings will help to develop stress resistant crop varieties for better yield and growth performance under stresses.     

Identification of Genes Differentially Expressed by <Emphasis Type="Italic">Metarhizium anisopliae</Emphasis> Growing on <Emphasis Type="Italic">Locusta migratoria</Emphasis> Wings Using Suppression Subtractive Hybridization

Insect-pathogenic fungi penetrate their hosts directly through the cuticle. To better understand this process, we identified genes that were up-regulated by Metarhizium anisopliae germinating and differentiating on Locusta migratoria wings using suppression subtractive hybridization (SSH). A total of 78 unique expressed sequence tags (ESTs) up-regulated more than twofold during fungal growth on locust wings were identified. Among these 78 ESTs, 30 (38.5%) shared significant similarity with NCBI annotated hypothetical proteins, 16 (20.5%) shared low similarity to known or predicted genes, might represent novel genes, and 32 (41.0%) shared significant similarity with known proteins that are involved in various cell and molecular processes such as cell metabolism, protein metabolism, stress response and defense, and cell structure and function. Semi-quantitative RT-PCR analysis of six randomly selected genes confirmed the SSH results, verifying the fidelity of the SSH data. The results of this study provide novel information on genes expressed during early stages of infection with M. anisopliae, and improve current understanding of fungal pathogenesis.