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The article discusses role of functional surfaces in food processing. It mentions that feed spacer material of spiral-wound membranes used in dairy applications could be functionalized to mitigate bacterial growth. It reveals that feed spacer provides a gap for fluid flow and induces turbulence at the membrane surface to reduce fouling.

Caffeine and other N-methylated xanthines are natural products found in many foods, beverages, and pharmaceuticals. Therefore, it is not surprising that bacteria have evolved to live on caffeine as a sole carbon and nitrogen source. The caffeine degradation pathway of Pseudomonas putida CBB5 utilizes an unprecedented glutathione-S-transferase-dependent Rieske oxygenase for demethylation of 7-methylxanthine to xanthine, the final step in caffeine N-demethylation. The gene coding this function is unusual, in that the iron-sulfur and non-heme iron domains that compose the normally functional Rieske oxygenase (RO) are encoded by separate proteins. The non-heme iron domain is located in the monooxygenase, ndmC, while the Rieske [2Fe-2S] domain is fused to the RO reductase gene, ndmD. This fusion, however, does not interfere with the interaction of the reductase with N1- and N3-demethylase RO oxygenases, which are involved in the initial reactions of caffeine degradation. We demonstrate that the N7-demethylation reaction absolutely requires a unique, tightly bound protein complex composed of NdmC, NdmD, and NdmE, a novel glutathione-S-transferase (GST). NdmE is proposed to function as a noncatalytic subunit that serves a structural role in the complexation of the oxygenase (NdmC) and Rieske domains (NdmD). Genome analyses found this gene organization of a split RO and GST gene cluster to occur more broadly, implying a larger function for RO-GST protein partners. [ABSTRACT FROM AUTHOR]

Big datasets, accumulated from biomedical and agronomic studies, provide the potential to identify genes that control complex human diseases and agriculturally important traits through genome-wide association studies (GWAS). However, big datasets also lead to extreme computational challenges, especially when sophisticated statistical models are employed to simultaneously reduce false positives and false negatives. The newly developed fixed and random model circulating probability unification (FarmCPU) method uses a bin method under the assumption that quantitative trait nucleotides (QTNs) are evenly distributed throughout the genome. The estimated QTNs are used to separate a mixed linear model into a computationally efficient fixed effect model (FEM) and a computationally expensive random effect model (REM), which are then used iteratively. To completely eliminate the computationally expensive REM, we replaced REM with FEM by using Bayesian information criteria. To eliminate the requirement that QTNs be evenly distributed throughout the genome, we replaced the bin method with linkage disequilibrium information. The new method is called Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway (BLINK). Both real and simulated data analyses demonstrated that BLINK improves statistical power compared to FarmCPU, in addition to remarkably reducing computing time. Now, a dataset with one million individuals and one-half million markers can be analyzed within three hours, instead of one week using FarmCPU. [ABSTRACT FROM AUTHOR]

Understanding the genes and enzymes involved in caffeine metabolism can lead to applications such as production of methylxanthines and environmental waste remediation. Pseudomonas sp. CES may provide insights into these applications, since this bacterium degrades caffeine and thrives in concentrations of caffeine that are three times higher (9.0 g L(-1)) than the maximum tolerable levels of other reported bacteria. We took a novel approach toward identifying the enzymatic pathways in Pseudomonas sp. CES that metabolize caffeine, which largely circumvented the need for exhaustive isolation of enzymes and the stepwise reconstitution of their activities. Here we describe an optimized, rapid alternative strategy based on multiplexed LC-MS/MS assays and show its application by discovering caffeine-degrading enzymes in the CES strain based on quantitative comparison of proteomes from bacteria grown in the absence and presence of caffeine, the latter condition of which was found to have a highly induced capacity for caffeine degradation. Comparisons were made using stable isotope dimethyl labeling, differences in the abundance of particular proteins were substantiated by reciprocal labeling experiments, and the role of the identified proteins in caffeine degradation was independently verified by genetic sequencing. Overall, multiple new components of a N-demethylase system were identified that resulted in rapid pathway validation and gene isolation using this new approach.