Carneykerr7901

In gills, GST decreased during the rainy season in both sites and increased during the salinity peak (dry-rainy transition period) for the upper estuary's organisms. In this organ, the lowest levels of LPO occurred during the dry season for both points. There was an induction of ACAP in muscle during the rainy-dry transition period compared to the dry and dry-rainy transition periods for the lower estuary's organisms, and there were no differences for GST suggesting low tissue sensitivity. There was an increase in LPO during the rainy season compared to the rainy-dry transition period for the lower estuaries animals. Biomarkers in gills suggest a metabolic challenge to the rainy season and stability during the dry season. The species shows high viability of use in biomonitoring programs. However, these seasonality-induced alterations in biomarkers responses must be taken into account to interpret the results.We introduce a theoretical framework for estimating, comparing and interpreting mechanistic hypotheses on long term protein propagation across brain networks in neurodegenerative disorders (ND). The model is expressed within a Bayesian non-parametric regression setting, where mechanisms of protein dynamics are inferred by means of gradient matching on dynamical systems (DS). The Bayesian formalism, combined with stochastic variational inference, naturally allows for model comparison via assessment of model evidence, while providing uncertainty quantification of causal relationship underlying protein progressions. When applied to in-vivo AV45-PET brain imaging data measuring topographic amyloid deposition in Alzheimer's disease (AD), our model identified the mechanisms of accumulation, clearance and propagation as the best suited DS for bio-mechanical description of amyloid dynamics in AD, enabling realistic and accurate personalized simulation of amyloidosis.The chain length (CL) of fatty acids (FAs) is pivotal to oil property, yet to what extent it can be customized in industrial oleaginous microalgae is unknown. In Nannochloropsis oceanica, to modulate long-chain FAs (LCFAs), we first discovered a fungi/bacteria-originated polyketide synthase (PKS) system which involves a cytoplasmic acyl-ACP thioesterase (NoTE1). NoTE1 hydrolyzes C160-, C161- and C181-ACP in vitro and thus intercepts the specific acyl-ACPs elongated by PKS for polyunsaturated FA biosynthesis, resulting in elevation of C16/C18 monounsaturated FAs when overproduced and increase of C20 when knocked out. For medium-chain FAs (MCFAs; C8-C14), C80 and C100 FAs are boosted by introducing a Cuphea palustris acyl-ACP TE (CpTE), whereas C120 elevated by rationally engineering CpTE enzyme's substrate-binding pocket to shift its CL preference towards C120. A mechanistic model exploiting both native and engineered PKS and type II FAS pathways was thus proposed for manipulation of carbon distribution among FAs of various CL. The ability to tailor FA profile at the unit CL resolution from C8 to C20 in Nannochloropsis spp. lays the foundation for scalable production of designer lipids via industrial oleaginous microalgae.Rhodococcus spp. are a group of non-model gram-positive bacteria with diverse catabolic activities and strong adaptive capabilities, which enable their wide application in whole-cell biocatalysis, environmental bioremediation, and lignocellulosic biomass conversion. Compared with model microorganisms, the engineering of Rhodococcus is challenging because of the lack of universal molecular tools, high genome GC content (61% ~ 71%), and low transformation and recombination efficiencies. Nevertheless, because of the high interest in Rhodococcus species for bioproduction, various genetic elements and engineering tools have been recently developed for Rhodococcus spp., including R. opacus, R. jostii, R. ruber, and R. Selleckchem BI 1015550 erythropolis, leading to the expansion of the genetic toolkits for Rhodococcus engineering. In this article, we provide a comprehensive review of the important developed genetic elements for Rhodococcus, including shuttle vectors, promoters, antibiotic markers, ribosome binding sites, and reporter genes. In addition, we also summarize gene transfer techniques and strategies to improve transformation efficiency, as well as random and precise genome editing tools available for Rhodococcus, including transposition, homologous recombination, recombineering, and CRISPR/Cas9. We conclude by discussing future trends in Rhodococcus engineering. We expect that more synthetic and systems biology tools (such as multiplex genome editing, dynamic regulation, and genome-scale metabolic models) will be adapted and optimized for Rhodococcus.3-Ketosteroid Δ1-dehydrogenase catalyzes the 1(2)-dehydrogenation of 3-ketosteroid substrates using flavin adenine dinucleotide as a cofactor. The enzyme plays a crucial role in microbial steroid degradation, both under aerobic and anaerobic conditions, by initiating the opening of the steroid nucleus. Indeed, many microorganisms are known to possess one or more 3-ketosteroid Δ1-dehydrogenases. In the pharmaceutical industry, 3-ketosteroid Δ1-dehydrogenase activity is exploited to produce Δ1-3-ketosteroids, a class of steroids that display various biological activities. Many of them are used as active pharmaceutical ingredients in drug products, or as key precursors to produce pharmaceutically important steroids. Since 3-ketosteroid Δ1-dehydrogenase activity requires electron acceptors, among other considerations, Δ1-3-ketosteroid production has been industrially implemented using whole-cell fermentation with growing or metabolically active resting cells, in which the electron acceptors are available, rather than using the isolated enzyme. In this review we discuss biotechnological applications of microbial 3-ketosteroid Δ1-dehydrogenases, covering commonly used steroid-1(2)-dehydrogenating microorganisms, the bioprocess for preparing Δ1-3-ketosteroids, genetic engineering of 3-ketosteroid Δ1-dehydrogenases and related genes for constructing new, productive industrial strains, and microbial fermentation strategies for enhancing the product yield. Furthermore, we also highlight the recent development in the use of isolated 3-ketosteroid Δ1-dehydrogenases combined with a FAD cofactor regeneration system. Finally, in a somewhat different context, we summarize the role of 3-ketosteroid Δ1-dehydrogenase in cholesterol degradation by Mycobacterium tuberculosis and other mycobacteria. Because the enzyme is essential for the pathogenicity of these organisms, it may be a potential target for drug development to combat mycobacterial infections.