Identificação de genes e uso de promotores modulados por etanol em cana-de-açucar

Abstract

The control of gene expression in precise time and space is a desirable attribute of chemically inducible systems. Ethanol is a chemical inducer with favourable features, such as being inexpensive and easy to apply. The aim of this study was to identify ethanol-responsive genes in sugarcane. The cDNA macroarray technique was adopted to identify transcript changes in sugarcane leaves (Saccharum spp. cv SP80-3280) exposed to ethanol. The expression profiles of sugarcane genes were analysed using nylon filters containing 3,575 cDNA clones from the leaf roll library of the SUCEST project. Seventy expressed sequence tags (ESTs) presented altered expression patterns, including ESTs corresponding to genes related to transcriptional and translational processes, abiotic stress and others. Several genes of unknown function were also identified. Among the 48 ESTs up-regulated by ethanol, an abiotic stress-responsive protein and an unknown function gene presented rapid induction by ethanol. The macroarray data of selected ethanol-responsive EST were confirmed by RNA-blot hybridisation. The expression profile of the 48 up-regulated genes was compared in two other cultivars: SP89-1115 and SP90-3414. Surprisingly, no gene showed a similar expression profile in the three cultivars. This result suggests that sugarcane plants have a high diversity in their responses to ethanol.

Biotecnologia de cana-de-açúcar (Saccharum spp.) para tolerância a estresse hídrico

“…O vetor pUBILN (Camargo, 2007) correspondente ao vetor pAHC17 (Christensen and Quail, 1996) O vetor pAHC20 (Christensen and Quail, 1996)…”

Avaliação do papel da subunidade II da ATP sintase na tolerância a estresses abióticos em cana-de-açúcar

“…The Brazilian Sugarcane Expressed Sequence Tags (ESTs) Sequencing Project (SUCEST) was a breakthrough in the analysis of sugarcane genes. Back in 2003, the projected sequenced over 238,000 ESTs from different sugarcane tissues and cultivars that were grouped into approximately 43,000 SAS (Sugarcane Assembled Sequences) , providing the basis for important transcriptome studies (Camargo, 2007;Nogueira et al, 2003;Rocha et al, 2007b;Rodrigues et al, 2011;. For example, hybridization-based approaches based in DNA arrays have been the most used tool for large-scale gene expression profiling analysis in sugarcane under drought stress Rocha et al, 2007b;Rodrigues et al, 2011;.…”