Integrated diversity analysis of the microbial community in a reverse osmosis system from a Brazilian oil refinery.

Oil refineries are known for the large volume of water used in their processes, as well as the amount of wastewater generated at the end of the production chain. Due to strict environmental regulations, the recycling of water has now become a viable alternative for refineries. Among the many methods available to treat wastewater for reuse, the use of membranes in reverse osmosis systems stands out due to several economic and environmental benefits. However, these systems are vulnerable to contamination and deposition of microorganisms, mainly because of the feedwater quality. In this study, the microbial diversity of feedwater and reverse osmosis membranes was investigated using a combination of culture-dependent and culture-independent methods in order to characterize the microorganisms colonizing and deteriorating the membranes. In total, 37 bacterial isolates, 17 filamentous fungi and approximately 400 clones were obtained and analyzed. Among the bacterial genera identified, the most represented were Sphingobium, Acidovorax, Microbacterium, Rhizobium and Shinella. The results revealed genera that acted as candidate key players in initial biofilm formation in membrane systems, and provided important information concerning the microbial ecology of oligotrophic aquatic systems.

Gray matter volume in left rostral middle frontal and left cerebellar cortices predicts frontal executive performance in alcoholic subjects.

BACKGROUND: Alcoholic subjects manifest important deficits in frontal executive function, yet maintain cognitive mental status within normal range. METHODS: This study searched for volumetric measurements of segmented brain structures obtained from magnetic resonance imaging (MRI) that would predict executive functions and cognitive mental status in alcoholic subjects. The frontal assessment battery (FAB) and the Mini-Mental State Examination (MMSE) were applied to alcoholic subjects who underwent MRI. Cortical and subcortical segmentation and corrections were performed using FreeSurfer. Multiple linear regressions analyses having volumetric measures of segmented brain structures as predictors for FAB or MMSE scores as dependent measures were conducted. Sixty alcoholic subjects, 52 males, mean age of 47.2 ± SD 10.4 years, with heavy use of alcohol (mean 284.4 ± SD 275.9 g of alcohol/d) over a long time (mean 32.4 ± SD 11.1 years), showed FAB 11.1 ± SD 3.2 and MMSE of 25.2 ± SD 4.1. RESULTS: Multiple regression analyses having left and right side of each segment as predictors showed that gray matter volumes of rostral middle frontal cortex and cerebellar cortex (p < 0.001), in which only the left side of these structures showed significant partial effects in the full model (p < 0.05), showed to predict FAB performance. They were even more predictive when considered together (p < 0.001), in which both left rostral middle frontal cortex (p < 0.05) and left cerebellar cortex (p < 0.01) predictors had significant partial effects in the full model. None of brain structures was predictive of MMSE performance. CONCLUSIONS: We have concluded that volumetric measurements of left rostral middle frontal and cerebellar cortices seem to be able to predict the frontal executive performance but not the cognitive mental status in alcoholic subjects.