Search

The complex regulatory network in Bacillus, known as quorum sensing, offers many opportunities to modify bacterial gene expression and hence to control bioprocesses. One target regulated by this mechanism is the activity of the PsrfA promoter, which is engaged in the formation of lipopeptide surfactin. It was hypothesised that deletion of rapC, rapF and rapH, encoding for prominent Rap-phosphatases known to affect PsrfA activity, would enhance surfactin production. Therefore, these genes were deleted in a sfp+ derivative of B. subtilis 168 with subsequent evaluation of quantitative data. Up to the maximum product formation of the reference strain B. subtilis KM1016 after 16 h of cultivation, the titers of the rap deletion mutants did not exceed the reference. However, an increase in both product yield per biomass YP/X and specific surfactin productivity qsurfactin was observed, without any considerable effect on the ComX activity. By extending the cultivation time, a 2.7-fold increase in surfactin titer was observed after 24 h for strain CT10 (ΔrapC) and a 2.5-fold increase for CT11 (ΔrapF) compared to the reference strain KM1016. In addition, YP/X was again increased for strains CT10 and CT11, with values of 1.33 g/g and 1.13 g/g, respectively. Interestingly, the effect on surfactin titer in strain CT12 (ΔrapH) was not as distinct, although it achieved the highest promoter activity (PsrfA-lacZ). The data presented support the possibility of involving the quorum sensing system of Bacillus in bioprocess control as shown here on the example of lipopeptide production.

Detecting P300 signal plays a vital role in Brain-Computer Interface (BCI) systems. In recent years, deep neural networks have been vastly utilized for P300 detection. However, by increasing the number of dimensions, the ratio of saddle points to local minima increases exponentially which hampers the performance of these networks for P300 detection. In this paper, a new method is introduced which improves the training procedure of Deep Belief Networks (DBN) by using Nesterov momentum. In another version of the proposed algorithm, the drop-based learning rate is also utilized to improve its performance. These strategies lead to escape saddle points in large scales of dimensions which causes the considerable improvement in P300 detection. Performance of the proposed algorithm is evaluated on a dataset of EPFL BCI group and compared with some other state-of-the-art methods. The results demonstrate that the best recognition rate is obtained by using the proposed method which is equal to 93.47%. The obtained results also show approximately 4.83% superiority in the accuracy of proposed algorithm against its alternatives.

Strain engineering is often a method of choice towards increasing the yields of the biosurfactant surfactin which is naturally synthesized by many Bacillus spp., most notably Bacillus subtilis. In the current study, a genome reduced B. subtilis 168 strain lacking 10% of the genome was established and tested for its suitability to synthesize surfactin under aerobic and anaerobic conditions at 25 °C, 30 °C, 37 °C and 40 °C. This genome reduced strain was named IIG-Bs20-5-1 and lacks, amongst others, genes synthesizing the lipopeptide plipastatin, the antibiotic bacilysin, toxins and prophages, as well as genes involved in sporulation. Amongst all temperatures tested, 37 °C was overall superior. In comparison to the reference strain JABs24, a surfactin synthesizing variant of B. subtilis 168, strain IIG-Bs20-5-1 was both aerobically and anaerobically superior with respect to specific growth rates µ and yields YX/S. However, in terms of surfactin production, strain JABs24 reached higher absolute concentrations with up to 1147.03 mg/L and 296.37 mg/L under aerobic and anaerobic conditions, respectively. Concomitant, strain JABs24 reached higher YP/S and YP/X. Here, an outstanding YP/X of 1.541 g/g was obtained under anaerobic conditions at 37 °C. The current study indicates that the employed genome reduced strain IIG-Bs20-5-1 has several advantages over the strain JABs24 such as better conversion from glucose into biomass and higher growth rates. However, regarding surfactin synthesis and yields, the strain was overall inferior at the investigated temperatures and oxygen conditions. Further studies addressing process development and strain engineering should be performed combining the current observed advantages of the genome reduced strain to increase the surfactin yields and to construct a tailor-made genome reduced strain to realize the theoretically expected advantages of such genome reduced strains. Electronic supplementary material The online version of this article (10.1186/s13568-019-0806-5) contains supplementary material, which is available to authorized users.

In a number of situations such as industrial quality control experiments the only observations are record-breaking data. In this paper, two sampling schemes are used to collect record data: single sample and multisample. The aim of this paper is to investigate which one of them is more efficient in the sense of Shannon information. Several general results are established and it is shown that there is a connection between some reliability properties of the parent distribution and the considered comparison criterion. A number of examples illustrating the results are given.

Screening soil samples collected from a diverse range of slightly alkaline soil types, we have isolated 22 competent phosphate solubilizing bacteria (PSB). Three isolates identified as Pantoea agglomerans strain P5, Microbacterium laevaniformans strain P7 and Pseudomonas putida strain P13 hydrolyzed inorganic and organic phosphate compounds effectively. Bacterial growth rates and phosphate solubilization activities were measured quantitatively under various environmental conditions. In general, a close association was evident between phosphate solubilizing ability and growth rate which is an indicator of active metabolism. All three PSB were able to withstand temperature as high as 42°C, high concentration of NaCl upto 5% and a wide range of initial pH from 5 to 11 while hydrolyzing phosphate compounds actively. Such criteria make these isolates superior candidates for biofertilizers that are capable of utilizing both organic and mineral phosphate substrates to release absorbable phosphate ion for plants.

Background The objective of this randomized, double-blind, placebo-controlled study was to evaluate the efficacy of sustained-release methylphenidate (MPH-SR) in treatment of methamphetamine dependence. Methods Fifty-six individuals who met DSM-IV-TR criteria for methamphetamine dependence participated in this 10-week trial. The participants were randomly allocated into two groups and received 18 to 54 mg/day sustained-released methylphenidate or placebo for 10 weeks. Craving was evaluated by a visual analogue craving scale every week. Urinary screening test for methamphetamine was carried out each week. The Beck Depression Inventory-II (BDI-II) was used to monitor participant depressive symptoms at baseline and bi-weekly during the treatment period. Results At the end of the trial, the MPH-SR group was less methamphetamine positive compared to the placebo group and the difference was significant (p = 0.03). By the end of the study, MPH-SR group showed significantly less craving scores compared to the placebo group [MD (95% CI) = -10.28(0.88-19.18), t(54) = 2.19, p = 0.03]. There was greater improvement in the depressive symptoms scores in the intervention group compared to the placebo group [MD (95% CI) =2.03(0.31-3.75), t (54) =2.37, p = 0.02]. Conclusion Sustained-released methylphenidate was safe and well tolerated among active methamphetamine users and significantly reduced methamphetamine use, craving and depressive symptoms. Trial registration IRCT201202281556N38