95 research outputs found
Expression and characterization of keratinase from Deinococcus gobiensis I-0
Keratin is a nonnutritious hard protein widely distributed in feather, wool, animal hoof, horn, and toenail. The disulfide bond interacts to form a dense structure of keratin, which is difficult to be degraded and utilized. Keratinase is a kind of enzymes that can destroy the dense structure of keratin to achieve the degradation, and has a good application prospect. In order to further tap the important gene resources of keratinase, improve its hydrolytic activity,and provide theoretical basis for industrial production, this experiment cloned a gene encoding keratinase from Deinococcus gobiensis I-0 isolated from Gobi desert of Xinjiang and named it as Kerdg. Prokaryotic expression vector pET-22B-Kerdg was constructed and then induced, expressed and purified in vitro, the optimal temperature and pH of the crude enzyme solution were determined through the hydrolysis activity to feathers. Results showed that the first 50 amino acids of N terminal had a great influence on the expression and purification of protein Kerdg. The crude enzyme solution of recombinant strain completely decomposed feathers in three days. The transparent circle on milk powder plate appeared more notable in crude enzyme solution of recombinant strain than that of empty strain. Kerdg adapted to a wide range of temperatures and pH,among which the optimal temperature was 60℃ and the optimal pH was 5.0. The Kerdg can degrade feathers and thus will have great application space in the future industrial production and treatment of waste feathers.
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Functional assessment of hydrophilic domains of lea proteins from distant organisms
Late embryogenesis abundant (LEA) proteins play a protective role during desiccation and oxidation stresses. LEA3 proteins are a major group characterized by a hydrophilic domain (HD) with a highly conserved repeating 11-amino acid motif. We compared four different HD orthologs from distant organisms: (i) DrHD from the extremophilic bacterium Deinococcus radiodurans; (ii) CeHD from the nematode Caenorhabditis elegans; (iii) YlHD from the yeast Yarrowia lipolytica; and (iv) BnHD from the plant Brassica napus. Circular dichroism spectroscopy showed that all four HDs were intrinsically disordered in phosphate buffer and then folded into a-helical structures with the addition of glycerol or trifluoroethanol. Heterologous HD expression conferred enhanced desiccation and oxidation tolerance to Escherichia coli. These four HDs protected the enzymatic activities of lactate dehydrogenase (LDH) by preventing its aggregation under desiccation stress. The HDs also interacted with LDH, which was intensified by the addition of hydrogen peroxide (H2O2), suggesting a protective role in a chaperone-like manner. Based on these results, the HDs of LEA3 proteins show promise as protectants for desiccation and oxidation stresses, especially DrHD, which is a potential ideal stress-response element that can be applied in synthetic biology due to its extraordinary protection and stress resistance ability.
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How to Extend 3D GBSM Model to RIS Cascade Channel with Non-ideal Phase Modulation?
Reconfigurable intelligent surface (RIS) is seen as a promising technology
for next-generation wireless communications, and channel modeling is the key to
RIS research. However, traditional model frameworks only support Tx-Rx channel
modeling. In this letter, a RIS cascade channel modeling method based on a
geometry-based stochastic model (GBSM) is proposed, which follows a 3GPP
standardized modeling framework. The main improvements come from two aspects.
One is to consider the non-ideal phase modulation of the RIS element, so as to
accurately include its phase modulation characteristic. The other is the
Tx-RIS-Rx cascade channel generation method based on the RIS radiation pattern.
Thus, the conventional Tx-Rx channel model is easily expanded to RIS
propagation environments. The differences between the proposed cascade channel
model and the channel model with ideal phase modulation are investigated. The
simulation results show that the proposed model can better reflect the
dependence of RIS on angle and polarization.Comment: 5 pages, 5 figure
Rational Reprogramming of Fungal Polyketide First Ring Cyclization
Resorcylic acid lactones (RAL) and dihydroxyphenylacetic acid lactones (DAL) represent important pharmacophores with heat shock response and immune system modulatory activities. The biosynthesis of these fungal polyketides involves a pair of collaborating iterative polyketide synthases (iPKSs): a highly reducing iPKS (hrPKS) whose product is further elaborated by a nonreducing iPKS (nrPKS) to yield a 1,3-benzenediol moiety bridged by a macrolactone. Biosynthesis of unreduced polyketides requires the sequestration and programmed cyclization of highly reactive poly-β-ketoacyl intermediates to channel these uncommitted, pluripotent substrates towards defined subsets of the polyketide structural space. Catalyzed by product template (PT) domains of the fungal nrPKSs and discrete aromatase/cyclase enzymes in bacteria, regiospecific first-ring aldol cyclizations result in characteristically different polyketide folding modes. However, a few fungal polyketides, including the DAL dehydrocurvularin, derive from a folding event that is analogous to the bacterial folding mode. The structural basis of such a drastic difference in the way a PT domain acts has not been investigated until now. We report here that the fungal versus the bacterial folding mode difference is portable upon creating hybrid enzymes, and structurally characterize the resulting unnatural products. Using structure-guided active site engineering, we unravel structural contributions to regiospecific aldol condensations, and show that reshaping the cyclization chamber of a PT domain by only three selected point mutations is sufficient to reprogram the dehydrocurvularin nrPKS to produce polyketides with a fungal fold. Such rational control of first ring cyclizations will facilitate efforts towards the engineered biosynthesis of novel chemical diversity from natural unreduced polyketides
Genetic dissection of grain iron concentration in hexaploid wheat (Triticum aestivum L.) using a genome-wide association analysis method
Iron (Fe) is an essential micronutrient of the body. Low concentrations of bioavailable Fe in staple food result in micronutrient malnutrition. Wheat (Triticum aestivum L.) is the most important global food crop and thus has become an important source of iron for people. Breeding nutritious wheat with high grain-Fe content has become an effective means of alleviating malnutrition. Understanding the genetic basis of micronutrient concentration in wheat grains may provide useful information for breeding for high Fe varieties through marker-assisted selection (MAS). Hence, in the present study, genome-wide association studies (GWAS) were conducted for grain Fe. An association panel of 207 accessions was genotyped using a 660K SNP array and phenotyped for grain Fe content at three locations. The genotypic and phenotypic data obtained thus were used for GWAS. A total of 911 SNPs were significantly associated with grain Fe concentrations. These SNPs were distributed on all 21 wheat chromosomes, and each SNP explained 5.79–25.31% of the phenotypic variations. Notably, the two significant SNPs (AX-108912427 and AX-94729264) not only have a more significant effect on grain Fe concentration but also have the reliability under the different environments. Furthermore, candidate genes potentially associated with grain Fe concentration were predicted, and 10 candidate genes were identified. These candidate genes were related to transport, translocation, remobilization, and accumulationof ironin wheat plants. These findings will not only help in better understanding the molecular basis of Fe accumulation in grains, but also provide elite wheat germplasms to develop Fe-rich wheat varieties through breeding
Cerebral cortex functional reorganization in preschool children with congenital sensorineural hearing loss: a resting-state fMRI study
PurposeHow cortical functional reorganization occurs after hearing loss in preschool children with congenital sensorineural hearing loss (CSNHL) is poorly understood. Therefore, we used resting-state functional MRI (rs-fMRI) to explore the characteristics of cortical reorganization in these patents.MethodsSixty-three preschool children with CSNHL and 32 healthy controls (HCs) were recruited, and the Categories of Auditory Performance (CAP) scores were determined at the 6-month follow-up after cochlear implantation (CI). First, rs-fMRI data were preprocessed, and amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) were calculated. Second, whole-brain functional connectivity (FC) analysis was performed using bilateral primary auditory cortex as seed points. Finally, Spearman correlation analysis was performed between the differential ALFF, ReHo and FC values and the CAP score.ResultsALFF analysis showed that preschool children with CSNHL had lower ALFF values in the bilateral prefrontal cortex and superior temporal gyrus than HCs, but higher ALFF values in the bilateral thalamus and calcarine gyrus. And correlation analysis showed that some abnormal brain regions were weak negatively correlated with CAP score (p < 0.05). The ReHo values in the bilateral superior temporal gyrus, part of the prefrontal cortex and left insular gyrus were lower, whereas ReHo values in the bilateral thalamus, right caudate nucleus and right precentral gyrus were higher, in children with CSNHL than HCs. However, there was no correlation between ReHo values and the CAP scores (p < 0.05). Using primary auditory cortex (PAC) as seed-based FC further analysis revealed enhanced FC in the visual cortex, proprioceptive cortex and motor cortex. And there were weak negative correlations between the FC values in the bilateral superior temporal gyrus, occipital lobe, left postcentral gyrus and right thalamus were weakly negatively correlated and the CAP score (p < 0.05).ConclusionAfter auditory deprivation in preschool children with CSNHL, the local functions of auditory cortex, visual cortex, prefrontal cortex and somatic motor cortex are changed, and the prefrontal cortex plays a regulatory role in this process. There is functional reorganization or compensation between children’s hearing and these areas, which may not be conducive to auditory language recovery after CI in deaf children
Channel Measurement, Modeling, and Simulation for 6G: A Survey and Tutorial
The sixth generation (6G) mobile communications have attracted substantial
attention in the global research community of information and communication
technologies (ICT). 6G systems are expected to support not only extended 5G
usage scenarios, but also new usage scenarios, such as integrated sensing and
communication (ISAC), integrated artificial intelligence (AI) and
communication, and communication and ubiquitous connectivity. To realize this
goal, channel characteristics must be comprehensively studied and properly
exploited, so as to promote the design, standardization, and optimization of 6G
systems. In this paper, we first summarize the requirements and challenges in
6G channel research. Our focus is on channels for five promising technologies
enabling 6G, including terahertz (THz), extreme MIMO (E-MIMO), ISAC,
reconfigurable intelligent surface (RIS), and space-air-ground integrated
network (SAGIN). Then, a survey of the progress of the 6G channel research
regarding the above five promising technologies is presented in terms of the
latest measurement campaigns, new characteristics, modeling methods, and
research prospects. Moreover, a tutorial on the 6G channel simulations is
presented. We introduce the BUPTCMG- 6G, a 6G link-level channel simulator,
developed based on the ITU/3GPP 3D geometry-based stochastic model (GBSM)
methodology. The simulator supports the channel simulation of the
aforementioned 6G potential technologies. To facilitate the use of the
simulator, the tutorial encompasses the design framework, user guidelines, and
application examples. This paper offers in-depth, hands-on insights into the
best practices of channel measurements, modeling, and simulations for the
evaluation of 6G technologies, the development of 6G standards, and the
implementation and optimization of 6G systems.Comment: 41 pages,52 figure
Insights into Adaptations to a Near- Obligate Nematode Endoparasitic Lifestyle from the Finished Genome of Drechmeria coniospora
Nematophagous fungi employ three distinct predatory strategies: nematode trapping, parasitism of females and eggs, and endoparasitism. While endoparasites play key roles in controlling nematode populations in nature, their application for integrated pest management is hindered by the limited understanding of their biology. We present a comparative analysis of a high quality finished genome assembly of Drechmeria coniospora, a model endoparasitic nematophagous fungus, integrated with a transcriptomic study. Adaptation of D. coniospora to its almost completely obligate endoparasitic lifestyle led to the simplification of many orthologous gene families involved in the saprophytic trophic mode, while maintaining orthologs of most known fungal pathogen-host interaction proteins, stress response circuits and putative effectors of the small secreted protein type. The need to adhere to and penetrate the host cuticle led to a selective radiation of surface proteins and hydrolytic enzymes. Although the endoparasite has a simplified secondary metabolome, it produces a novel peptaibiotic family that shows antibacterial, antifungal and nematicidal activities. Our analyses emphasize the basic malleability of the D. coniospora genome: loss of genes advantageous for the saprophytic lifestyle; modulation of elements that its cohort species utilize for entomopathogenesis; and expansion of protein families necessary for the nematode endoparasitic lifestyle
Genome Sequence and Transcriptome Analysis of the Radioresistant Bacterium Deinococcus gobiensis: Insights into the Extreme Environmental Adaptations
The desert is an excellent model for studying evolution under extreme environments. We present here the complete genome and ultraviolet (UV) radiation-induced transcriptome of Deinococcus gobiensis I-0, which was isolated from the cold Gobi desert and shows higher tolerance to gamma radiation and UV light than all other known microorganisms. Nearly half of the genes in the genome encode proteins of unknown function, suggesting that the extreme resistance phenotype may be attributed to unknown genes and pathways. D. gobiensis also contains a surprisingly large number of horizontally acquired genes and predicted mobile elements of different classes, which is indicative of adaptation to extreme environments through genomic plasticity. High-resolution RNA-Seq transcriptome analyses indicated that 30 regulatory proteins, including several well-known regulators and uncharacterized protein kinases, and 13 noncoding RNAs were induced immediately after UV irradiation. Particularly interesting is the UV irradiation induction of the phrB and recB genes involved in photoreactivation and recombinational repair, respectively. These proteins likely include key players in the immediate global transcriptional response to UV irradiation. Our results help to explain the exceptional ability of D. gobiensis to withstand environmental extremes of the Gobi desert, and highlight the metabolic features of this organism that have biotechnological potential
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