Lindsayfisker2493

The low rate of discovery and rapid spread of resistant pathogens have made antibiotic discovery a worldwide priority. In cell-based screening, the mechanism of action (MOA) is identified after antimicrobial activity. This increases rediscovery, impairs low potency candidate detection, and does not guide lead optimization. In this study, high-throughput Fourier-transform infrared (FTIR) spectroscopy was used to discriminate the MOA of 14 antibiotics at pathway, class, and individual antibiotic level. For that, the optimal combinations and parametrizations of spectral preprocessing were selected with cross-validated partial least squares discriminant analysis, to which various machine learning algorithms were applied. This coherently resulted in very good accuracies, independently of the algorithms, and at all levels of MOA. Particularly, an ensemble of subspace discriminants predicted the known pathway (98.6%), antibiotic classes (100%), and individual antibiotics (97.8%) with exceptional accuracy, and similar results were obtained for simulated novel MOA. Even at very low concentrations (1 μg/mL) and growth inhibition (15%), over 70% pathway and class accuracy was achieved, suggesting FTIR spectroscopy can probe the grey chemical matter. read more Prediction of inhibitory effect was also examined, for which a squared exponential Gaussian process regression yielded a root mean square error of 0.33 and a R2 of 0.92, indicating that metabolic alterations leading to growth inhibition are intrinsically reflected on FTIR spectra beyond cell density. KEY POINTS • Antibiotic MOA and potency estimated with high-throughput FTIR spectroscopy • Sub-inhibitory MOA identification suggests ability to explore grey chemical matter • Data analysis optimization improved MOA identification at antibiotic level by 38.Recent reports suggest that obesity is caused by dysbiosis of gut microbiota and that it could be prevented or treated through improvement in the composition and diversity of gut microbiota. In this study, high-fat diet (HFD)-induced obese mice were orally administered with Lactobacillus plantarum K50 (K50) isolated from kimchi and Lactobacillus rhamnosus GG (LGG) as a positive control for 12 weeks. Body weight and weights of epididymal, mesenteric, and subcutaneous adipose tissues and the liver were significantly reduced in K50-treated HFD-fed mice compared with HFD-fed mice. The serum triglyceride level was decreased and high-density lipoprotein cholesterol level was increased in K50-treated HFD-fed mice. The gut microbiota analysis showed that the L. plantarum K50 treatment reduced the Firmicutes/Bacteroidetes ratio and improved the gut microbiota composition. In addition, the level of total short-chain fatty acids (SCFAs) in K50-treated HFD-fed mice was higher than that in HFD-fed mice. A remarkable reduction in the fat content of adipose tissue and liver was also observed in K50-treated HFD-fed mice, accompanied by improvements in gene expression related to lipid metabolism, adipogenesis, and SCFA receptors. K50-treated mice had downregulated expression levels of genes and proteins such as TNFα and IL-1β. Our findings confirm that L. plantarum K50 could be a good candidate for ameliorating fat accumulation and low-grade inflammation in metabolic tissues through gut microbiota improvement.In the pharmaceutical industry, nanobodies show promising properties for its application in serotherapy targeting the highly diffusible scorpion toxins. The production of recombinant nanobodies in Escherichia coli has been widely studied in shake flask cultures in rich medium. However, there are no upstream bioprocess studies of nanobody production in defined minimal medium and the effect of the induction temperature on the production kinetics. In this work, the effect of the temperature during the expression of the chimeric bispecific nanobody CH10-12 form, showing high scorpion antivenom potential, was studied in bioreactor cultures of E. coli. High biomass concentrations (25 g cdw/L) were achieved in fed-batch mode, and the expression of the CH10-12 nanobody was induced at temperatures 28, 29, 30, 33, and 37°C with a constant glucose feed. For the bispecific form NbF12-10, the induction was performed at 29°C. Biomass and carbon dioxide yields were reported for each culture phase, and the maintenance coefficient was obtained for each strain. Nanobody production in the CH10-12 strain was higher at low temperatures (lower than 30°C) and declined with the increase of the temperature. At 29°C, the CH10-12, NbF12-10, and WK6 strains were compared. Strains CH10-12 and NbF12-10 had a productivity of 0.052 and 0.021 mg/L/h of nanobody, respectively, after 13 h of induction. The specific productivity of the nanobodies was modeled as a function of the induction temperature and the specific growth rates. Experimental results confirm that low temperatures increase the productivity of the nanobody.Key points• Nanobodies with scorpion antivenom activity produced using two recombinant strains.• Nanobodies production was achieved in fed-batch cultures at different induction temperatures.• Low induction temperatures result in high volumetric productivities of the nanobody CH10-12.With the goal of expanding the diversity of tools available for controlling gene expression in cyanobacteria, the T7-RNA polymerase gene expression system from E. coli BL21(DE3) was adapted and systematically engineered for robust function Synechococcus sp. PCC 7002, a fast-growing saltwater strain. Expression of T7-RNA polymerase was controlled via LacI regulation, while functionality was optimized by both further tuning its expression level along with optimizing the translation initiation region of the expressed gene, in this case an enhanced YFP reporter. Under high CO2 conditions, the resulting system displayed a 60-fold dynamic range in expression levels. Furthermore, when maximally induced, T7-RNA polymerase-dependent protein production constituted up to two-thirds of total cellular protein content in Synechococcus sp. PCC 7002. Ultimately, however, this came at the cost of 40% reductions in both biomass and pigmentation levels. Taken together, the developed T7-RNA polymerase gene expression system is effective for controlling and achieving high-level expression of heterologous genes in Synechococcus sp.