Advanced search
Start date
Betweenand


Identification of differentially expressed genes in common bean involved in drought stress resistance

Full text
Author(s):
Gustavo Henrique Recchia
Total Authors: 1
Document type: Master's Dissertation
Press: Piracicaba.
Institution: Universidade de São Paulo (USP). Centro de Energia Nuclear na Agricultura (CENA/STB)
Defense date:
Examining board members:
Tsai Siu Mui; Sergio Augusto Morais Carbonell; Marcio José da Silva
Advisor: Tsai Siu Mui
Abstract

Brazil is the second biggest producer of common bean, being Phaseolus vulgaris L. the most cultivated species. Among the three possible harvests exploited in Brazil, drought is the one which generates the greatest production. On the other hand, as the majority of the households employees low technology, one of the problems of this culture is drought stress that leads to a reduction in the productivity. So, the identification of gene that controls the mechanisms of defense and adaptation of common bean to the lack of water would be very useful. In the past years, many omics information of common bean have been generated, creating an integrated view of this organism and providing a complex network between genes and its products. The main goal of this work was the identification of differentially expressed genes in a genotype of common bean resistant to drought stress (BAT 477), when submitted to a interruption of irrigation during its development. It was build a cDNA suppression subtractive hybridization library (SSH), which represented the differentially expressed genes, on the resistant genotype, having as driver the genotype Carioca 80SH (susceptible to drought). It was obtained 1572 valid reads, being 931 singletons and 189 contigs, with the average of 6 reads per cluster. The sequences annotation was conducted via BLAST X, considering only the best similarity results with E value \'<OU=\' 10-5. The functional classification was done adopting models described for plants (CS and MIPS) and the results were grouped into six different functional classes. Bioinformatic analyses contribuited to the identification of genes described as involved on plants response to drought stress. Among them: LEA proteins; transcription factors like DREB, NAC and leucine-rich proteins; carbohydrates synthesizers enzymes like the ones for trehalose, sucrose and rhamnose; proline-rich proteins; hormone receptors (ABA and ethylene); aquaporins; chaperones; ubiquitins; nodulins; and proteins associated with photosynthesis and respiration. In order to validate the ESTs annotated, a RT-qPCR experiment was conducted comparing the expression patterns of 15 genes under four treatments: both genotypes under stress and their respective controls. Three technical replicates were used and two reference genes (act and skip2) were chosen for intern data normalization. The gene expression patterns obtained confirm the hypothesis that such genes are more expressed on the resistant genotype although they are not exclusive since a lower levels of these transcripts were also detected in the susceptible genotype (AU)