Regulon: An overview of plant abiotic stress transcriptional regulatory system and role in transgenic plants / Regulon: Uma visão geral do sistema regulador da transcrição do estresse abiótico em plantas e papel nas plantas transgênica

Abstract Population growth is increasing rapidly around the world, in these consequences we need to produce more foods to full fill the demand of increased population. The world is facing global warming due to urbanizations and industrialization and in this concerns plants exposed continuously to abiotic stresses which is a major cause of crop hammering every year. Abiotic stresses consist of Drought, Salt, Heat, Cold, Oxidative and Metal toxicity which damage the crop yield continuously. Drought and salinity stress severally affected in similar manner to plant and the leading cause of reduction in crop yield. Plants respond to various stimuli under abiotic or biotic stress condition and express certain genes either structural or regulatory genes which maintain the plant integrity. The regulatory genes primarily the transcription factors that exert their activity by binding to certain cis DNA elements and consequently either up regulated or down regulate to target expression. These transcription factors are known as masters regulators because its single transcript regulate more than one gene, in this context the regulon word is fascinating more in compass of transcription factors. Progress has been made to better understand about effect of regulons (AREB/ABF, DREB, MYB, and NAC) under abiotic stresses and a number of regulons reported for stress responsive and used as a better transgenic tool of Arabidopsis and Rice.

Resumo O crescimento populacional está aumentando rapidamente em todo o mundo, e para combater suas consequências precisamos produzir mais alimentos para suprir a demanda do aumento populacional. O mundo está enfrentando o aquecimento global devido à urbanização e industrialização e, nesse caso, plantas expostas continuamente a estresses abióticos, que é uma das principais causas do martelamento das safras todos os anos. Estresses abióticos consistem em seca, sal, calor, frio, oxidação e toxicidade de metais que prejudicam o rendimento da colheita continuamente. A seca e o estresse salino são afetados de maneira diversa pela planta e são a principal causa de redução da produtividade das culturas. As plantas respondem a vários estímulos sob condições de estresse abiótico ou biótico e expressam certos genes estruturais ou regulatórios que mantêm a integridade da planta. Os genes reguladores são principalmente os fatores de transcrição que exercem sua atividade ligando-se a certos elementos cis do DNA e, consequentemente, são regulados para cima ou para baixo para a expressão alvo. Esses fatores de transcrição são conhecidos como reguladores mestres porque sua única transcrição regula mais de um gene; nesse contexto, a palavra regulon é mais fascinante no âmbito dos fatores de transcrição. Progresso foi feito para entender melhor sobre o efeito dos regulons (AREB / ABF, DREB, MYB e NAC) sob estresses abióticos e uma série de regulons relatados como responsivos ao estresse e usados ​​como uma melhor ferramenta transgênica de Arabidopsis e Rice.

A genomic-scale search for regulatory binding sites in the integration host factor regulon of Escherichia coli K12

We examined general aspects of the DNA-protein interaction between the integration host factor (IHF) global regulator and its regulatory binding sites in the Escherichia coli K12 genome. Two models were developed with distinct weight matrices for the regulatory binding sites recognized by IHF. Using these matrices we performed a genome scale scan and built a set of computationally predicted binding sites for each of the models. The sites found by the model associated with repetitive sequences had a higher score in the sequence to matrix alignment. They were also more rare than the other sites. The sites not associated with repeats rapidly tended to become undistinguishable from the background as statistical stringency was relaxed. We compared our results to the known sites documented in RegulonDB and found new members of the IHF Regulon. The two models exhibit clearly distinct affinity patterns (scores in the sequence to matrix alignments and in the number of regulatory sites), as we vary the stringency of the statistical confidence parameters. We suggest that these differences may play an important role in the dynamics of the network. We concluded that IHF may regulate two genes encoding ATP-dependent RNA helicases. This interaction is not described in RegulonDB, even as a computational prediction. IHF may also regulate RNA modification processes.