Beta Component Research Articles

Biotechnological Production of the Recombinant Two-Component Lantibiotic Lichenicidin in a Bacterial Expression System

Objective: Lantibiotics are a family of bacterial antimicrobial peptides synthesized by ribosomes, that undergo post-translational modification to form lanthionine (Lan) and methyllanthionine (MeLan) residues. Lantibiotics are currently considered promising agents for combating antibiotic-resistant bacterial infections. This paper presents a biotechnological method for obtaining two components of the lantibiotic lichenicidin from Bacillus licheniformis B-511, Lchα and Lchβ. Such a system has the potential to facilitate the production of not only lichenicidin, but also other lantibiotics, including two-component ones, and also to enable the study of their biosynthesis and the activity and substrate specificity of modifying enzymes. Methods: The developed system is based on heterologous coexpression of the genes of Lchα and Lchβ precursors with the genes of their corresponding modifying enzymes in the cytoplasm of Escherichia coli BL21(DE3). Subsequent steps included immobilized metal affinity chromatography of the His-tagged hybrid peptide under denaturing conditions, cyanogen bromide cleavage in acidic medium, and final purification using reverse-phase HPLC. Results and Discussion: The system was employed for the expression and purification of lantibiotics, resulting in the successful isolation of the β-component of lichenicidin in high yield (approximately 4 mg/L of culture). This purified beta component exhibited structural and functional characteristics comparable to its natural counterpart, which was purified from the natural producer. However, the yield of the mature α-component of lichenicidin in such a system was significantly lower. Conclusions: The work presents a biotechnological method for obtaining recombinant two-component lantibiotic lichenicidin, which has proven to be particularly effective in the case of Lchβ. The developed method can also be applied to the production of other promising lantibiotics and their further research.

Extraction and characterization of collagen from the skin of Pterygoplichthys spp. (armored catfish) from Chiapas

Because of its biocompatibility and safety, collagen is a valuable biomaterial that is used in various industries. While traditionally sourced from terrestrial mammals, collagen extracted from fish waste is a promising alternative due to its chemical properties and low cost. In Mexico, Pterygoplichthys spp. is considered an invasive species, inedible, and of limited commercial importance due to the low muscle content and skin covered with rigid bony plates. This study aimed to extract and characterize collagen from the skin of Pterygoplichthys spp. obtained from two communities in Chiapas, Mexico. Our results show that the extracted collagen is type 1, with a yield of 43.0% (dry weight). Sodium dodecyl sulfate polyacrylamide gel electrophoresis analysis revealed the presence of two alpha chains (α1, α2) and a beta and gamma component, consistent with type 1 collagen. Liquid chromatography coupled to mass spectrophotometry analysis identified peptide sequences homologous to those reported in other species. This study highlights the potential of Pterygoplichthys spp. skin collagen as a viable alternative to mammalian collagen. The efficiency of the extraction process and the identification of peptides resembling those of the other species underscore the feasibility of utilizing collagen from the skin of Pterygoplichthys spp. in industrial applications, offering a sustainable solution to environmental and economic challenges. Practical Application: Collagen extracted from the skin of Pterygoplichthys spp., an invasive fish species, can serve as a sustainable alternative to mammalian collagen, offering a cost-effective biomaterial with properties suitable for various industrial applications.

Single-pulse Transcranial Magnetic Stimulation Affects Working-memory Performance via Posterior Beta-band Oscillations.

A single pulse of TMS (spTMS) during the delay period of a double serial retrocuing working-memory task can briefly rescue decodability of an unprioritized memory item (UMI). This physiological phenomenon, which is paralleled in behavior by involuntary retrieval of the UMI, is carried by the beta frequency band, implicating beta-band dynamics in priority coding in working memory. We decomposed EEG data from 12 participants performing double serial retrocuing with concurrent delivery of spTMS using Spatially distributed PhAse Coupling Extraction. This procedure decomposes the scalp-level signal into a set of discrete coupled oscillators, each with a component strength that can vary over time. The decomposition revealed a diversity of low-frequency components, a subset of them strengthening with the onset of the task, and the majority declining in strength across the trial, as well as within each delay period. Results with spTMS revealed no evidence that it works by activating previously "silent" sources; instead, it had the effect of modulating ongoing activity, specifically by exaggerating the within-delay decrease in strength of posterior beta components. Furthermore, the magnitude of the effect of spTMS on the loading strength of a posterior beta component correlated with the disruptive effect of spTMS on performance, a pattern also seen when analyses were restricted to trials with "UMI-lure" memory probes. Rather than reflecting the "activation" of a putatively "activity silent" UMI, these results implicate beta-band dynamics in a mechanism that distinguishes prioritized from unprioritized, and suggest that the effect of spTMS is to disrupt this code.

Alpha and beta diversity of functional traits in subtropical evergreen broad-leaved secondary forest communities.

Intra-speciic variation is the main source of functional trait diversity and has similar ecological effects as inter-speciic variation. We studied 79 species and 3546 individuals from 50 ixed monitoring plots in subtropical evergreen broad - leaved secondary forests in Zhejiang Province, China. Using trait gradient analysis, we examined nine traits (speciic leaf area, leaf dry matter content, wood density, leaf area, chlorophyll content, leaf nitrogen content, leaf phosphorus content, leaf potassium content, and nitrogen-phosphorus ratio) by decomposing species functional traits into alpha (within-community) and beta (among-communities) measure the impact of environmental gradients and the presence of other species on the variation of traits. All nine functional traits showed some degree of differentiation in the forest communities, with a greater range of variation in alpha values than in beta values . Correlations were signiicantly different between the trait differences in the communities. The alpha values of each trait showed a higher correlation with other components than the beta values. The factors affecting intra-speciic trait variation were relatively complex. The alpha component had a more signiicant and stronger effect on intra-speciic trait variation compared to the beta component. Abiotic factors, such as soil nutrient content, soil nitrogen-phosphorus content, directly affected the beta component. In contrast, biotic factors, such as tree height variation, had a direct and stronger effect on the alpha component. Our results demonstrate that alpha and beta components, as independent differentiation axes among coexisting species, have different sensitivities to different environmental factors and traits in different ecological strategies and spatial scales. Trait gradient analysis can more clearly reveal the variation patterns of species traits in communities, which will help to understand the scale effects and potential mechanisms of trait relationships.

Analysis of locus estimates of allelic diversity of STR markers in a sample of breeding bulls

Genotypes of the 11 DNA microsatellite loci of 84 bulls of seven breeds were used to evaluate 14 indicators of allelic diversity/differentiation. Traditional and multidimensional statistical methods were applied to the data matrices from the original and transformed estimates (11×14). Estimates of heterozygosity had coefficients of variability of 8-14 %, the number of alleles per locus and indicators of differentiation of breeds at the level of 20-26 %, fixation indices – 38-44 %. Statistically significant Kendall correlations (0.8-1.0) between indicators of allelic richness and heterozygosity, fixation indices, and differentiation indicators were established. The variability of the transformed estimates of diversity/differentiation indicators by loci was in the range of 6-32 %. Including by loci Eth3, Tgla122, Eth225, Bm2113 – 6-12 %, loci Inra23, Tgla126, Eth10 – 15-20 %, loci Tgla227, Sps115, Tgla53, Bm1824 – 28-32 %. The nonparametric Mann-Whitney-Wilcoxon test showed statistically significant differences in the medians of the Eth3 locus with the Bm2113 locus, the Tgla126 locus with the Eth3, Inra23, Tgla122, Eth225, Bm2113, Bm1824, Eth10 loci. The principal component analysis (PCA) identified two components with a total information content of 95,2 %. The first one took into account 59.4 % of the total variance, had the highest loads in intra-breed diversity data and was defined as an «alpha component». The second accounted for 35.8 % of the total variance, had the highest loads in inter-breed differentiation data and was defined as a «beta component». 2D-PCA-ordination showed that a characteristic grouping of loci took place for the analyzed breeds (samples), loci and measures of diversity. Loci Tgla227 and Tgla53 formed group A, group B – loci Tgla122, Eth225, Eth10, group C – loci Inra23, Bm2113 and Bm1824. The loci of the conditional group D (Eth3, Tgla126, Sps115) were defined as «untypical». Validation of ordination was confirmed by calculations on reduced data (dimension 11×7) and the method of non-metric multidimensional scaling (nMDS). The consistency of ordinations according to the Procrust test was 96 % (pperm <0.001). A similar classification of loci was obtained by cluster analysis (UPGMA) with butstrap probabilities of cluster: A – 73, B – 100, C – 73, D – 47 %. The distances and similarity indicators (S) between the profiles of loci and the «true» summary estimates for 11 loci were calculated. Loci Tgla126 and Sps115 had S ≈ 40 %, loci Tgla53 and Bm1824 – at the level of 60 %, loci Inra23, Tgla227 and Bm2113 – 70-75 %, loci Eth3, Tgla122, Eth225 and Eth10 – 84-88 %. The average absolute deviation of the estimates of diversity indicators for the four loci with S≥84 % from the «true» estimates was 3.4 %, for the four loci with S≤60 % – 12.4 %. According to component scores, a general diversity index, γLV, was calculated for each locus. Its correlation with the estimates of the Shannon/Sherwin′s γ-diversity with a 95 % probability value was in the range of 0.73-0.98, Kendall's rank correlation was 0.67 (pvalue = 0.005). The conducted research makes a certain contribution to the expansion of tools for processing molecular genetic data in the analysis of allelic diversity in subdivided populations.

Brain connectivity dynamics during listening to music and potential impact on task performance.

To analyze brain connectivity dynamics during listening to music and estimate the potential impact on task performance. Fifteen participants (13 males and 2 females) participated in this study based on their interest in Indian classical music. Measurements of the influence of Indian music on task performance were obtained by assessing brain activation using EEG signals. Brain connectivity analysis was performed to visualize the connections between brain regions under various experimental conditions. Visual Go/No Go Stimuli was used to evaluate visual spatial attention during operation by evaluating misses, committed errors, and reaction times. In Task 1 (listening to music only), it was reported that there was a change in the positions of the electrodes (F3, F7) located in the left frontal lobe. The energy of the relative beta component was significantly higher only at F7 during task 1 (p = 0.005). Event-related desynchronization alpha and theta synchronization were significant (p = 0.005) at all electrode sites in the bilateral frontal lobes (F3, F4, F7 and F8) while listening to music and performing tasks (task 2). When the task without music (task 3) was performed, the energy of the relative alpha component was significantly higher at the Fp2 electrode position (p = 0.005). It is noteworthy that the energy of the theta component was significantly lower at the location of the Fp2 electrode (p = 0.005). The frontal asymmetry index score measures were significantly high at F4/F3 and F8/F7 during task 1. The connectivity map of theta synchronization showed a robust association between Fp2 and F8 which was in turn connected to P4 and O2 during Task 2. Results indicated an increased omission and commission errors during Task 3.

Morphospace trends underlying a global turnover: Ecological dynamics of trilobite assemblages at the onset of the Ordovician Radiation

The early Palaeozoic was an interval of critical importance in the history of life as it records major events such as the Cambrian Explosion and the Ordovician Radiation. Analyses of macroevolutionary and macroecological dynamics explored from a morphospace perspective at different scales and from a palaeoecological viewpoint remain scarce. In this contribution we show the potential power that morphospace analysis can bring to the study of the ecological context of radiations. For this we focus on important trilobite assemblages ranging from the late Cambrian - Early Ordovician of the Argentine Cordillera Oriental. We calculated trilobite disparity through seven time bins that encompass the Furongian, Tremadocian and the Floian. Our results show a hierarchical structure in disparity patterns, where regional disparity is modulated by its beta component during the Furongian – lower Tremadocian, changing towards the Floian where alpha disparity becomes a stronger contributor. These trends reveal a shift in the assembly of regional disparity, modulated by the way local coexistence is controlled. Additionally, the temporal decoupling recorded in diversity and disparity trends can be related to the way these patterns are structured across the ecological hierarchy. This coincides with moments of high compositional turnover, congruent with the timing of transition between trilobite evolutionary faunas (TEFs) at a global scale. Peaks in regional disparity are related to the sum of these faunas contributing high values rather than to a growing disparity of the successive TEFs, suggesting that the rise in disparity is due to the coexistence of evolutionary faunas. Regional-scale dynamics described herein coupled with previous evidence regarding global patterns allow us to consider that the transition between trilobite evolutionary faunas was mainly related to increasing niche differentiation, followed by an increase in dispersal. These results suggest a context of higher ecological complexity than previously envisaged for the early stages of the Ordovician Radiation.

PREVALENCE OF SICKLE-CELL DISEASE IN SAUDI ARABIA: A SYSTEMATIC REVIEW

Background: A series of hemoglobinopathies known collectively as sickle cell disease (SCD) contain abnormalities in the gene encoding the beta component of haemoglobin. There are other subcategories that fall under the SCD umbrella, including sickle cell disease (SCD), haemoglobin SC disease (HbSC), and haemoglobin sickle-beta thalassemia (beta-thalassemia positive or beta-thalassemia negative). The prevalence of SCD varies greatly across Saudi Arabia, with the Eastern province having the greatest frequency and the southern regions having the second-highest prevalence. The reported sickle-cell prevalence ranges from 2% to 27%, and in some regions, up to 2.6% of people will have SCD.
 Objectives: The study aims to summarize current evidences regarding Prevalence of Sickle-Cell Disease in Saudi Arabia.
 Methods: For article selection, the PubMed database and EBSCO Information Services were used. All relevant articles relevant with our topic and other articles were used in our review. Other articles that were not related to this field were excluded. The data was extracted in a specific format that was reviewed by the group members.
 Conclusion: Although the prevenance of sickle cell anemia is relatively high due to multiple reasons such as consanguinity, the prevalence of genetic diseases in Saudi Arabia may be significantly lowered during the following decades as a result of premarital screening there. Also, acute chest syndrome in SCD patients is relatively infrequent in Saudi Arabia's Eastern Province, it nonetheless has a major impact on morbidity and death. If patients with African haplotypes are compared, it has a low prevalence and recurrence.

Water availability and quality determine temporal synchrony and beta diversity of microcrustaceans in temporary pools

Beta diversity patterns have been frequently used to investigate metacommunity structure. The metacommunity concept has focused primarily on the spatial beta component, but part of the unaccounted variation is likely associated with temporal beta patterns. Here, we examined the effect of seasonal variation in water availability on the spatiotemporal assembly of microcrustaceans living in temporary pools. Specifically, we sampled microcrustaceans in 5 pools monthly for 12 mo and tested how temporal fluctuations in physicochemical variables affected beta diversity. We also investigated whether species showed synchronous responses in tracking dry or wet conditions. Our study revealed that only those microcrustacean species associated with the wet season had temporally synchronous population dynamics. However, we did not find population synchrony in the dry season and in those comparisons including all microcrustacean species. Physicochemical variables such as pH, dissolved oxygen, and water transparency explained part of the spatial variation in beta diversity. These results suggest a strong influence of species sorting on metacommunity structure both in space and in time. Extreme climatic conditions, such as water scarcity, could affect population dynamics; thus, linking spatial and temporal patterns will be necessary to disentangle the effects of stochastic processes and environmental filtering on metacommunity dynamics.

A Microplate-Based Approach to Map Interactions between TDP-43 and α-Synuclein.

Trans-active response DNA-binding protein (TDP-43) is a multifunctional regulatory protein, whose abnormal deposition in neurons was linked to debilitating neurodegenerative diseases, such as amyotrophic lateral sclerosis, frontotemporal lobar degeneration, Limbic-predominant age-related TDP-43 encephalopathy, and Alzheimer’s disease with a secondary pathology. Several reports showed that TDP-43 proteinopathy as a comorbidity can form aggregates with other pathological proteins. The co-deposition of alpha synuclein and TDP-43 inclusions was previously reported in glial cells and by observing TDP-43 proteinopathy in Lewy body disease. In this study, it was hypothesized that alpha synuclein and TDP-43 may co-aggregate, resulting in comorbid synucleinopathy and TDP-43 proteinopathy. A solid-phase microplate-based immunoassay was used to map out the epitopes of anti-TDP-43 antibodies and locate the interaction of TDP-43 with α-synuclein. A region of the low complexity domain of TDP-43 (aa 311–314) was shown to interact with full-length α-synuclein. Conversely, full-length TDP-43 was shown to bind to the non-amyloid beta component of α-synuclein. Using in silico sequence-based prediction, the affinity and dissociation constant of full-length TDP-43 and α-synuclein were calculated to be −10.83 kcal/mol and 1.13 × 10−8, respectively. Taken together, this microplate-based method is convenient, economical, and rapid in locating antibody epitopes as well as interaction sites of two proteins.

High Throughput in Silico Identification of α-Syn Aggregation Inhibitors for Parkinson's Disease

Parkinson’s Disease (PD) is caused by the depletion of dopamine as a result of aggregates formed by a protein called alpha-synuclein (a-syn), which are toxic and kill dopamine neurons in the substantia nigra pars compacta brain region. PD currently only has some symptomatic treatments that lose effectiveness over time. The purpose of this study was to identify drugs that bind to the fibril forming segment of the non-amyloid beta component (NAC) domain of neuronal membrane bound a-syn. These drugs will inhibit other a-syn monomers from binding and prevent further a-syn aggregation, slowing the progression of PD.
 Molecular docking was used to run a high throughput screening of 646 FDA approved drugs. The interactions between each drug and a-syn were analyzed and compared to those of Baicalein and SynuClean-D, two drugs that can inhibit a-syn aggregation by binding with the NAC domain but are not FDA approved. 
 13 drugs were identified that can potentially be used to inhibit membrane bound a-syn aggregation and were almost 6 times more potent than Baicalein and 10 times more potent than SynuClean-D at binding with a-syn’s NAC domain. The Blood Brain Barrier (BBB) penetrability of these top 13 drugs was assessed, indicating the drugs with a higher likelihood of penetrating the BBB. The results of this study appoint Telmisartan and Ibrutinib as FDA approved, BBB penetrable drugs that could inhibit membrane bound a-syn aggregation, slowing the progression of PD. Verifying these results through in vitro experiments can result in identifying a promising treatment for PD.

(De)stabilization of Alpha-Synuclein Fibrillary Aggregation by Charged and Uncharged Surfactants.

Parkinson’s disease (PD) is the second most common neurodegenerative disorder. An important hallmark of PD involves the pathological aggregation of proteins in structures known as Lewy bodies. The major component of these proteinaceous inclusions is alpha (α)-synuclein. In different conditions, α-synuclein can assume conformations rich in either α-helix or β-sheets. The mechanisms of α-synuclein misfolding, aggregation, and fibrillation remain unknown, but it is thought that β-sheet conformation of α-synuclein is responsible for its associated toxic mechanisms. To gain fundamental insights into the process of α-synuclein misfolding and aggregation, the secondary structure of this protein in the presence of charged and non-charged surfactant solutions was characterized. The selected surfactants were (anionic) sodium dodecyl sulphate (SDS), (cationic) cetyltrimethylammonium chloride (CTAC), and (uncharged) octyl β-D-glucopyranoside (OG). The effect of surfactants in α-synuclein misfolding was assessed by ultra-structural analyses, in vitro aggregation assays, and secondary structure analyses. The α-synuclein aggregation in the presence of negatively charged SDS suggests that SDS-monomer complexes stimulate the aggregation process. A reduction in the electrostatic repulsion between N- and C-terminal and in the hydrophobic interactions between the NAC (non-amyloid beta component) region and the C-terminal seems to be important to undergo aggregation. Fourier transform infrared spectroscopy (FTIR) measurements show that β-sheet structures comprise the assembly of the fibrils.

The beta component of gamma-band auditory steady-state responses in patients with schizophrenia

The mechanisms underlying circuit dysfunctions in schizophrenia (SCZ) remain poorly understood. Auditory steady-state responses (ASSRs), especially in the gamma and beta band, have been suggested as a potential biomarker for SCZ. While the reduction of 40 Hz power for 40 Hz drive has been well established and replicated in SCZ patients, studies are inconclusive when it comes to an increase in 20 Hz power during 40 Hz drive. There might be several factors explaining the inconsistencies, including differences in the sensitivity of the recording modality (EEG vs MEG), differences in stimuli (click-trains vs amplitude-modulated tones) and large differences in the amplitude of the stimuli. Here, we used a computational model of ASSR deficits in SCZ and explored the effect of three SCZ-associated microcircuit alterations: reduced GABA activity, increased GABA decay times and NMDA receptor hypofunction. We investigated the effect of input strength on gamma (40 Hz) and beta (20 Hz) band power during gamma ASSR stimulation and saw that the pronounced increase in beta power during gamma stimulation seen experimentally could only be reproduced in the model when GABA decay times were increased and only for a specific range of input strengths. More specifically, when the input was in this specific range, the rhythmic drive at 40 Hz produced a strong 40 Hz rhythm in the control network; however, in the ‘SCZ-like’ network, the prolonged inhibition led to a so-called ‘beat-skipping’, where the network would only strongly respond to every other input. This mechanism was responsible for the emergence of the pronounced 20 Hz beta peak in the power spectrum. The other two microcircuit alterations were not able to produce a substantial 20 Hz component but they further narrowed the input strength range for which the network produced a beta component when combined with increased GABAergic decay times. Our finding that the beta component only existed for a specific range of input strengths might explain the seemingly inconsistent reporting in experimental studies and suggests that future ASSR studies should systematically explore different amplitudes of their stimuli. Furthermore, we provide a mechanistic link between a microcircuit alteration and an electrophysiological marker in schizophrenia and argue that more complex ASSR stimuli are needed to disentangle the nonlinear interactions of microcircuit alterations. The computational modelling approach put forward here is ideally suited to facilitate the development of such stimuli in a theory-based fashion.

Chironomid riverine assemblages at the regional temperate scale – compositional distance and species diversity

Chironomids are the most common and abundant benthic invertebrate family in freshwater environments worldwide, but most studies on chironomid assemblages focus on presence/absence of species rather than abundance and community composition. This makes the assessment of chironomid assemblage composition and diversity limited in any physiographic zone and at any scale. This study enhances knowledge of chironomid abundance in rivers in Central Europe, which is typical part of the temperate climatic zone, and investigates chironomid (inter-)assemblage characteristics. Benthic assemblages of seven lowland rivers were sampled monthly over annual cycles with a total of 61 chironomid species detected. PCA was used to determine the environmental profile of the rivers at study sites, while cluster and ANOSIM analysis and univariate diversity indices were applied to the chironomid samples of the assemblages grouped at the river level to identify their similarities and differences. The environmental profile explained much of the cluster and ANOSIM-based patterns of the rivers’ compositional distances, and also some values of given univariate diversity indices. SIMPER analysis distinguished a group of 14 species that explained almost 60% of differences between the assemblages. The contribution of each species of the group was similar, ranging between 6.13% and 2.87%, yet on average several times greater than that of each of the remaining 47 species. Univariate diversity values differed from index to index and from river to river, and indicated that the application of few such indices, particularly one, may be misleading. The N 1 gamma diversity of the whole region (calculated from 82 samples) was 18.31 species, which was multiplicatively decomposed into the average alpha component of 4.04 species, and beta component of 4.53 assemblages.

Contributions of temporal and spatial variation to the diversity of soil-dwelling testate amoeba assemblages in a swampy forest

Understanding the spatial and temporal variation in protist communities is essential for comprehensive studies on diversity and biogeography, yet most research focuses on either spatial or temporal processes, ignoring their combined effects. Here we use an additive partitioning approach to estimate the contribution of temporal and spatial components to the total taxonomical (morphospecies) diversity of testate amoebae in a swampy forest (the forest-steppe zone, Russia) during a snow-free season (from April to November). Testate amoebae have been chosen as model organisms for the study because they are a diverse and abundant group of protists that play important roles in soil communities mostly as consumers in decomposer food webs. Our results indicate that seasonality considerably contributed to the variation in the total species richness (γ) of both live and empty shell assemblages of testate amoebae (48 and 38 %, respectively). The beta component of species richness related to the spatial variation among sampling plots explained 22 % of γ-diversity in live assemblages and 28 % in empty shell assemblages. Beta diversity (both as species richness and species composition) decreased towards the end of the snow-free season. Spring assemblages were dominated by hydrophilous species of testate amoebae, whereas xerophilic species were more abundant in autumn. Our results imply that the snowmelt phase could be an important factor setting the heterogeneity of testate amoeba assemblages in the early spring, whereas in the rest of snow-free season the assemblages were considerably controlled by substrate moisture. Overall, temporal sampling is essential for adequate estimates of species diversity of soil-dwelling testate amoebae.

A Characterization of Misfolded Alpha‐Synuclein in Parkinson’s Disease

The Moeller SMART Team in conjunction with Dr. JiaJie Diao at the University of Cincinnati Medical College and MSOE Center for Biomolecular Modeling used 3‐D modeling and printing technology to study the role of misfolded alpha‐synuclein proteins in Parkinson’s Disease (PD). Neurodegenerative diseases are all characterized by the aggregation of misfolded proteins that form an insoluble substrate. Misfolded alpha‐synuclein is thought to be the protein involved in PD. This protein is natively found as an unfolded monomer that can take on many different conformations. It consists of 140 amino acids and is divided into three regions: the N‐terminal region (residues 1–60), non‐amyloid beta component (NAC) (residues 61–95), and the C‐terminus (residues 96–140). Alpha‐synuclein shows the ability to form amyloid fibrils which are associated with toxicity. Subunits within the fibrils adopt a beta‐strand conformation with hydrogen bonding between adjacent beta strands to form long linear polymers. The N‐terminal and C‐terminal residues display a random coil arrangement that are not involved in hydrogen bonding. The central beta sheet core is comprised of an inner hydrophobic region that interlocks into compact right‐angled spirals. Each fibril can form a dimer with rotational symmetry about the bonding interface. Within the beta sheet region, the NAC and pre‐NAC regions are responsible for fibril formation. The NAC region is the central hydrophobic region that when removed from alpha‐synuclein leads to the inability of aggregation.

Trait Gradient Analysis for Evergreen and Deciduous Species in a Subtropical Forest

Leaf habits (e.g., evergreen or deciduous) can reflect strategies of species adapting to varied environmental conditions. However, how species with different leaf habits coexist within a plant community is still poorly understood. Trait gradient analysis is a new approach to partition plant functional trait variations into alpha (within-community) and beta (among-community) components to quantify the effects of environmental filtering and biotic competition on community assembly. Here, on the basis of establishing forty-eight forest dynamic plots in a subtropical evergreen and deciduous broadleaved mixed forest in central China and measuring of seven functional traits, we compared the trait variation patterns and influencing factors of evergreen and deciduous species by using the trait gradient analysis method. The results showed that there were significant differences between functional traits for evergreen and deciduous species. Alpha trait components consistently varied more widely than beta components. The correlation between species trait mean and the alpha of each trait was highly significant, but there was no significant correlation between beta and alpha trait values. There were relatively weak or nonexistent significant correlations among species mean trait values and alpha trait values of different functional traits. However, the beta trait value showed high and significant correlations in both evergreen and deciduous species. Our results indicated that evergreen and deciduous species adopt similar adaptation strategies (beta component) in the context of environmental change in the community. However, the species initially came to coexist via the ecological positioning of traits (alpha component), which helped reduce competition so individuals could obtain more resources.

Novel feature extraction of EEG signal for accurate event detection

Electroencephalograph (EEG) signal analysis is one of the essential for diagnosis of diseases, detect the various event and psychological problems. The accuracy of event detection depends on the feature vectors used. The feature vectors in literature provide performance only for a specific application and perform poor for other application. This paper presents a new feature vector generation using fusion of energy feature vectors of different types. The energy features of alpha, beta and gamma component is extracted as base feature. A fusion rule is formulated to fuse that base features using Hjorth activity features to improve the accuracy of classification. The performance of the proposed new feature is tested on seizures detection, sleep state detection and emotion detection application. The resulting analysis shows that the proposed new feature outperform with improved accuracy of 26% for emotion detection, 5% for seizures detection and 4% for sleep state detection.

Electrophysiological resting state networks of predominantly akinetic-rigid Parkinson patients: Effects of dopamine therapy.

Parkinson's disease (PD) causes both motor and non-motor symptoms, which can partially be reversed by dopamine therapy. These symptoms as well as the effect of dopamine may be explained by distinct alterations in whole-brain architecture. We used functional connectivity (FC) and in particular resting state network (RSN) analysis to identify such whole-brain alterations in a frequency-specific manner. In addition, we hypothesized that standard dopaminergic medication would have a normalizing effect on these whole brain alterations. We recorded resting-state EEGs of 19 PD patients in the medical OFF and ON states, and of 12 healthy age-matched controls. The PD patients were either of akinetic-rigid or mixed subtype. We extracted RSNs with independent component analysis in the source space for five frequency bands. Within the sensorimotor network (SMN) the supplementary motor area (SMA) showed decreased FC in the OFF state compared to healthy controls. This finding was reversed after dopamine administration. Furthermore, in the OFF state no stable SMN beta component could be identified. The default mode network showed alterations due to PD independent of the medication state. The visual network was altered in the OFF state, and reinstated to a pattern similar to healthy controls by medication. In conclusion, PD causes distinct RSN alterations, which are partly reversed after levodopa administration. The changes within the SMN are of particular interest, because they broaden the pathophysiological understanding of PD. Our results identify the SMA as a central network hub affected in PD and a crucial effector of dopamine therapy.

Spectral Encoding of Seen and Attended Object Categories in the Human Brain.

Local field potentials (LFPs) encode visual information via variations in power at many frequencies. These variations are complex and depend on stimulus and cognitive state in ways that have yet to be fully characterized. Specifically, the frequencies (or combinations of frequencies) that most robustly encode specific types of visual information are not fully known. To address this knowledge gap, we used intracranial EEG to record LFPs at 858 widely distributed recording sites as human subjects (six males, five females) indicated whether briefly presented natural scenes depicted one of three attended object categories. Principal component analysis applied to power spectra of the LFPs near stimulus onset revealed a broadband component (1-100 Hz) and two narrowband components (1-8 and 8-30 Hz, respectively) that encoded information about both seen and attended categories. Interestingly, we found that seen and attended categories were not encoded with the same fidelity by these distinct spectral components. Model-based tuning and decoding analyses revealed that power variations along the broadband component were most sharply tuned and offered more accurate decoding for seen than for attended categories. Power along the narrowband delta-theta (1-8 Hz) component robustly decoded information about both seen and attended categories, while the alpha-beta (8-30 Hz) component was specialized for attention. We conclude that, when viewing natural scenes, information about the seen category is encoded via broadband and sub-gamma (<30 Hz) power variations, while the attended category is most robustly encoded in the sub-gamma range. More generally, these results suggest that power variation along different spectral components can encode qualitatively different kinds of visual information.SIGNIFICANCE STATEMENT In this article, we characterize how changes in visual stimuli depicting specific objects (cars, faces, and buildings) and changes in attention to those objects affect the frequency content of local field potentials in the human brain. In contrast to many previous studies that have investigated encoding by variations in power at high (>30 Hz) frequencies, we find that the most important variation patterns are broadband (i.e., distributed across multiple frequencies) and narrowband, but in lower frequencies (<30 Hz). Interestingly, we find that seen and attended categories are not encoded with the same fidelity by these distinct spectral encoding patterns, suggesting that power at different frequencies can encode qualitatively different kinds of information.