bluuebunny/crossref_metadata_2025 huggingface dataset:
Large-Scale, Multi-Year Microbial Community Survey of a Freshwater Trout Aquaculture Facility
Authors: Testerman Todd , Beka Lidia , Reichley Stephen R. , King Stacy , Welch Timothy J. , Wiens Gregory D. , Graf Joerg
Published: May 2022

Aquaculture is an important tool for solving growing worldwide food demand, but infectious diseases of the farmed animals represent a serious roadblock to continued industry growth. Therefore, it is essential to understand the microbial communities that reside within the built environments of aquaculture facilities to identify reservoirs of bacterial pathogens and potential correlations between commensal species and specific disease agents. Here, we present the results from three years of sampling a commercial rainbow trout aquaculture facility. The sampling was focused on the early-life stage hatchery building and included sampling of the facility source water and outdoor production raceways. We observed that the microbial communities residing on the abiotic surfaces within the hatchery were distinct from those residing on the surfaces of the facility water source as well as the production raceways, despite similar communities in the water column at each location. Within the hatchery building, most of the microbial classes and families within surface biofilms were also present within the water column, suggesting that these biofilms are seeded by a unique subgroup of microbial taxa from the water. Lastly, we detected a common fish pathogen,Flavobacterium columnare, within the hatchery, including at the source water inlet. Importantly, the relative abundance of this pathogen was correlated with clinical disease. Our results characterized the microbial communities in an aquaculture facility, established that the hatchery environment contains a unique community composition, and demonstrated that a specific fish pathogen resides within abiotic surface biofilms and is seeded from the natural source water.

Importance

The complex microbial consortium residing in the built environment of aquaculture facilities is poorly understood. In this study, we provide a multi-year profile of the surface- and water-associated microbial communities of this biome. The results demonstrated that distinct community structures exist in the water and on surfaces. Furthermore, it was shown that a common and economically impactful bacterial pathogen,F. columnare, is continually introduced via the source water, is widespread within surface biofilms in the hatchery environment, and is likely amplified within these raceways but does not always cause disease despite being present. These results advance our understanding of pathogen localization at fish farms, show the interplay between host and environmental microbiomes, and reveal the importance of microbial community sequencing in aquaculture for identifying potential beneficial and harmful microbes. This study adds to the aquaculture microecology dataset and enhances our ability to understand this environment from a “One Health” perspective.
Subtyping evaluation of Salmonella Enteritidis using SNP and core genome MLST with nanopore reads
Authors: Xian Zhihan , Li Shaoting , Mann David Ames , Huang Yixiao , Xu Feng , Wu Xingwen , Tang Silin , Zhang Guangtao , Stevenson Abigail , Ge Chongtao , Deng Xiangyu
Published: May 2022

Whole genome sequencing (WGS) for public health surveillance and epidemiological investigation of foodborne pathogens predominantly relies on sequencing platforms that generate short reads. Continuous improvement of long-read nanopore sequencing such as Oxford Nanopore Technologies (ONT) presents a potential for leveraging multiple advantages of the technology in public health and food industry settings, including rapid turnaround and onsite applicability in addition to superior read length. However, evaluation, standardization and implementation of the ONT approach to WGS-based, strain-level subtyping is challenging, in part due to its relatively high base-calling error rates and frequent iterations of sequencing chemistry and bioinformatic analytics. Using an established cohort of Salmonella Enteritidis isolates for subtyping evaluation, we assessed the technical readiness of ONT for single nucleotide polymorphism (SNP) analysis and core-genome multilocus sequence typing (cgMLST) of a major foodborne pathogen. By multiplexing three isolates per flow cell, we generated sufficient sequencing depths under seven hours of sequencing for robust subtyping. SNP calls by ONT and Illumina reads were highly concordant despite homopolymer errors in ONT reads (R9.4.1 chemistry). In silico correction of such errors allowed accurate allelic calling for cgMLST and allelic difference measurements to facilitate heuristic detection of outbreak isolates. Our study established a baseline for the continuously evolving nanopore technology as a viable solution to high quality subtyping of Salmonella, delivering comparable subtyping performance when used standalone or together with short-read platforms.
Antimicrobial susceptibility testing using MYCO test-system and MIC distribution of 8 drugs against clinical isolates from Shanghai of Nontuberculous Mycobacteria
Authors: Ying Ruoyan , Yang Jinghui , Sha Wei
Published: May 2022

Given the increased incidence and prevalence of nontuberculous mycobacteria (NTM) diseases and the natural resistance of NTM to multiple antibiotics, in vitro susceptibility testing of different NTM species against drugs from the MYCO test system and new applied drugs are required. 241 NTM clinically isolates were under analyzed, including 181 slowly growing mycobacterium (SGM) and 60 rapidly growing mycobacterium (RGM). The Sensititre SLOMYCO and RAPMYCO panels were used for the drug susceptibility testing to commonly used anti-NTM antibiotics. Furthermore, Minimum inhibitory concentration (MIC) distributions were determined against 8 potential anti-NTM drugs, including vancomycin (VA), bedaquiline (BDQ), delamanid (DLM), faropenem (FAR), meropenem (MPM), clofazimine (CFZ), avibactam (CAZ), and Cefoxitin (FOX) and epidemiological cut-off values (ECOFFs) were analyzed using ECOFFinder. The results showed that most of the SGM strains were susceptible to clarithromycin (CLA), rifampicin (RFB) from the SLOMYCO panels and BDQ, CFZ from the 8 applied drugs, while, RGM strains were susceptible to tigecycline (TGC) from the RAPMYCO panels and also BDQ, CFZ. The ECOFF values of CFZ were 0.25μg/ml, 0.25μg/ml, 0.5μg/ml, and 1μg/ml for M. kansasii, M. avium, M. intracellulare, and M. abscessus, respectively, and BDQ was 0.5μg/ml for the same four prevalent NTM species. Due to the weak activity of the other 6 drugs, no ECOFF was determined. This study on the susceptibility of NTM includes 8 potential anti-NTM drugs and a large sample size of Shanghai clinical isolates. and demonstrated that BDQ and CFZ had efficient activities against different NTM species in vitro, which can be applied for the treatment of NTM diseases.
Thermal acclimation to warmer temperatures can protect host populations from both further heat stress and the potential invasion of pathogens
Authors: Hector Tobias E. , Shocket Marta S. , Sgrò Carla M. , Hall Matthew D.
Published: May 2022

Phenotypic plasticity in response to shifts in temperature, known as thermal acclimation, is an essential component of the ability of a species to cope with environmental change. Not only does this process potentially improve an individual’s thermal tolerance, it will also act simultaneously on various fitness related traits that determine whether a population increases or decreases in size. In light of global change, thermal acclimation therefore has consequences for population persistence that extend beyond simply coping with heat stress. This particularly important when we consider the additional threat of parasitism associated with global change, as the ability of a pathogen to invade a host population depends on both its capacity to proliferate within a host and spread between hosts, and thus the supply of new susceptible hosts in a population. Here, we use the hostDaphnia magnaand its bacterial pathogenPasteuria ramosato investigate how thermal acclimation may impact various aspects of host and pathogen performance at the scale of both an individual and the population. We independently test the effect of maternal thermal acclimation and direct thermal acclimation on host thermal tolerance, measured as knockdown times, as well as host fecundity and lifespan, and pathogen infection success and spore production. We find that direct thermal acclimation enhances host thermal tolerance and intrinsic rates of population growth, despite a decline observed for host fecundity and lifespan. Pathogens, on the other hand, faired consistently worse at warmer temperatures at the within-host scale, and also in their potential to invade a host population. Our results suggest that hosts could benefit more from warming than their pathogens, but highlight that considering both within- and between-host thermal performance, including thermal tolerance and fitness traits, is needed to fully appreciate how increasing thermal variability will impact host and pathogen populations.
Different combinations of laccase paralogs non-redundantly control the lignin amount and composition of specific cell types and cell wall layers in Arabidopsis
Authors: Blaschek Leonard , Murozuka Emiko , Ménard Delphine , Pesquet Edouard
Published: May 2022

Vascular plants reinforce the cell walls of the different xylem cell types with lignin, a phenolic polymer. Specific lignin chemistries are conserved between the cell wall layers of each cell type to support their functions. Yet the mechanisms controlling the tight spatial localisation of specific lignin chemistries remain unclear. Current hypotheses focus on a control by monomer biosynthesis and/or export, while their cell wall polymerisation is viewed as random and non-limiting. Here we show that cell wall polymerisation using combinations of multiple different laccases (LACs) non-redundantly and specifically control the lignin chemistry in different cell types and their distinct cell wall layers. We dissected the roles of Arabidopsis thaliana LAC4, 5, 10, 12 and 17 by generating quadruple and quintuple loss-of-function mutants. Different combinatory loss of these LACs lead to specific changes in lignin chemistry affecting both residue ring structures and/or aliphatic tails in specific cell types and cell wall layers. We moreover showed that the LAC-mediated lignification had distinct functions in specific cell types. Altogether, we propose that the spatial control of lignin chemistry depends on different combinations of LACs with non-redundant activities immobilised in specific cell types and cell wall layers.
Perceptual cycles travel across retinotopic space
Authors: Fakche Camille , Dugué Laura
Published: May 2022

Visual perception waxes and wanes periodically over time at low frequencies (theta, 4-7Hz; alpha, 8-13Hz) creatingperceptual cycles. These perceptual cycles can be induced when stimulating the brain with a flickering visual stimulus at the theta or alpha frequency. Here, we took advantage of the well-known organization of the visual system into retinotopic maps (topographic correspondence between visual and cortical spaces) to assess the spatial organization of induced perceptual cycles. Specifically, we tested the hypothesis that they can propagate across the retinotopic space. A disk oscillating in luminance (inducer) at 4, 6, 8 or 10 Hz was presented in the periphery of the visual field to induce perceptual cycles at specific frequencies. Electroencephalographic (EEG) recordings verified that the brain responded at the corresponding inducer frequencies and their first harmonics. Perceptual cycles were assessed with a concurrent detection task –target stimuli were displayed at threshold contrast (50% detection) at random times during the inducer. Behavioral results confirmed that perceptual performance was modulated periodically by the inducer at each frequency. We additionally manipulated the distance between the target and the inducer (3 possible positions) and showed that the optimal phase, i.e., moment of highest target detection, shifted across target distance to the inducer, specifically when its flicker frequency was in the alpha range (8 and 10 Hz). These results demonstrate that induced alpha perceptual cycles travel across the retinotopic space in human at a propagation speed of 0.3-0.5 m/s, consistent with the speed of unmyelinated horizontal connections in the visual cortex.
Expression and functional evaluation of recombinant human ABO blood group antigen cleaving glycoside hydrolases α-N-acetylgalactosaminidase, α-galactosidase, and endo-β-galactosidase produced in Escherichia coli
Authors: Toh Wu Han , Kuo Yvonne , Hsu Sean Kai , Chen Bernie , Lee Alan Justin , Liaw Easton , Lee Jane , Cheng Alexander , Hwa Laura , Hu Kaitlyn , Chien Sienna , Wong Christine , Chang Kristin , Hang Minna , Hong Sabrina , Su Ethan , Clapper Jude , Hsu Jonathan
Published: May 2022

Blood transfusions are an integral component of healthcare; however, availability of viable blood is limited by patient-donor blood type specificity, which contributes to seasonal shortages as well as shortages worldwide, especially in developing countries, and during pandemics or natural disasters. Attempts to increase blood supply with commercial incentives have raised ethical concerns, and current proposed artificial blood substitutes are unable to fully replicate the function of native red blood cells (RBCs). In this study, we explore the potential strategy of alleviating blood shortages through enzymatic conversion of A, B, and AB blood types to blood type O. In theory, this process eliminates ABO patient-donor incompatibility, which increases the supply of universal donor blood. Three glycoside hydrolases, α-N-acetylgalactosaminidase, α-galactosidase, and endo-β-galactosidase, were selected to act as molecular scissors to cleave terminal residues on A and B RBC surface antigens and catalyze the conversion process. These enzymes were recombinantly expressed in BL21(DE3) Escherichia coli and purified through nickel ion affinity chromatography. A combination of colorimetric substrate assays, thin-layer chromatography, and mass spectroscopy were utilized to evaluate enzyme functionality. Enzyme efficiency was modeled using Michaelis–Menten kinetics. Partial enzymatic A-to-O blood type conversion on porcine red blood cells was observed with slide agglutination tests. Results confirm recombinant enzyme-mediated blood type conversion as a potential strategy for alleviating blood shortages.
A computational toolbox to investigate the metabolic potential and resource allocation in fission yeast
Authors: Grigaitis Pranas , Grundel Douwe A. J. , van Pelt-Kleinjan Eunice , Isaku Mirushe , Xie Guixiang , Farias Sebastian Mendoza , Teusink Bas , van Heerden Johan H.
Published: May 2022

The fission yeast Schizosaccharomyces pombe is a popular eukaryal model organism for cell division and cell cycle studies. With this extensive knowledge of its cell and molecular biology, S. pombe also holds promise for use in metabolism research and industrial applications. However, unlike the baker’s yeast Saccharomyces cerevisiae, a major workhorse in these areas, cell physiology and metabolism of S. pombe remain less explored. One way to advance understanding of organism-specific metabolism is construction of computational models and their use for hypothesis testing. To this end, we leverage existing knowledge of S. cerevisiae to generate a manually-curated high-quality reconstruction of S. pombe’s metabolic network, including a proteome-constrained version of the model. Using these models, we gain insights into the energy demands for growth, as well as ribosome kinetics in S. pombe. Furthermore, we predict proteome composition and identify growth-limiting constraints that determine optimal metabolic strategies under different glucose availability regimes, and reproduce experimentally determined metabolic profiles. Notably, we find similarities in metabolic and proteome predictions of S. pombe with S. cerevisiae, which indicate that similar cellular resource constraints operate to dictate metabolic organization. With these use cases, we show, on the one hand, how these models provide an efficient means to transfer metabolic knowledge from a well-studied to a lesser-studied organism, and on the other, how they can successfully be used to explore the metabolic behaviour and the role of resource allocation in driving different strategies in fission yeast.
Functional brain region-specific neural spheroids for modeling neurological diseases and therapeutics screening
Authors: Strong Caroline E. , Kundu Srikanya , Boutin Molly , Chen Yu-Chi , Wilson Kelli , Lee Emily , Ferrer Marc
Published: May 2022

3D spheroids have emerged as powerful drug discovery tools given their high-throughput screening (HTS) compatibility. Here, we established a method for generating functional neural spheroids with differentiated human induced pluripotent stem cell (hiPSC)-derived neurons and astrocytes at cell type compositions mimicking specific regions of the human brain. Recordings of intracellular calcium oscillations were used as functional assays, and the utility of this spheroids system was shown through disease modelling, drug testing, and formation of assembloids to model neurocircuitry. We developed disease models for Alzheimer’s and Parkinson’s Disease through incorporating genetically engineered cells into spheroids, and Opioid Use Disorder by chronically treating spheroids with DAMGO. We reversed baseline functional deficits in each disease model with clinically approved treatments and showed that assembloid activity can be chemogenetically manipulated. Here, we lay the groundwork for brain region-specific spheroids as a robust functional assay platform for HTS studies.
Ribotoxic collisions on CAG expansions disrupt proteostasis and stress responses in Huntington’s Disease
Authors: Aviner Ranen , Lee Ting-Ting , Masto Vincent B. , Gestaut Dan , Li Kathy H. , Andino Raul , Frydman Judith
Published: May 2022

Huntington’s disease (HD) is a devastating neurodegenerative disorder caused by CAG trinucleotide repeat expansions encoding a polyglutamine (polyQ) tract in the Huntingtin (HTT) gene1. Although mutant HTT (mHTT) protein tends to aggregate, the exact causes of neurotoxicity in HD remain unclear2. Here we show that altered elongation kinetics on CAG expansions cause ribosome collisions that trigger ribotoxicity, proteotoxicity and maladaptive stress responses. CAG expansions cause an elongation rate conflict during HTT translation, when ribosomes rapidly decoding the optimal polyQ encounter a flanking slowly-decoded polyproline tract. The ensuing ribosome collisions lead to premature termination and release of aggregation-prone mHTT fragments. Due to the presence of a stress-responsive upstream open reading frame (uORF), HTT translation and aggregation are limited under normal conditions but enhanced under stress, seeding a vicious cycle of dysfunction. mHTT further exacerbates ribotoxicity by progressively sequestering eIF5A, a key regulator of translation elongation, polyamine metabolism and stress responses. eIF5A depletion in HD cells leads to widespread ribosome pausing on eIF5A-dependent sites, impaired cotranslational proteostasis, disrupted polyamine metabolism and maladaptive stress responses. Importantly, drugs that reduce translation initiation attenuate ribosome collisions and mitigate this escalating cascade of ribotoxic stress and dysfunction in HD.
Responses of Model Cortical Neurons to Temporal Interference Stimulation and Related Transcranial Alternating Current Stimulation Modalities
Authors: Wang Boshuo , Aberra Aman S. , Grill Warren M. , Peterchev Angel V.
Published: May 2022

Objective

Temporal interference stimulation (TIS) was proposed as a non-invasive, focal, and steerable deep brain stimulation method. However, the mechanisms underlying experimentally-observed suprathreshold TIS effects are unknown, and prior simulation studies had limitations in the representations of the TIS electric field (E-field) and cerebral neurons. We examined the E-field and neural response characteristics for TIS and related transcranial alternating current stimulation modalities.

Approach

Using the uniform-field approximation, we simulated a range of stimulation parameters in biophysically realistic model cortical neurons, including different orientations, frequencies, amplitude ratios, amplitude modulation, and phase difference of the E-fields, and obtained thresholds for both activation and conduction block.

Main results

For two E-fields with similar amplitudes (representative of E-field distributions at the target region), TIS generated an amplitude-modulated total E-field. Due to the phase difference of the individual E-fields, the total TIS E-field vector also exhibited rotation where the orientations of the two E-fields were not aligned (generally also at the target region). TIS activation thresholds (75–230 V/m) were similar to those of high-frequency stimulation with or without modulation and/or rotation. For E-field dominated by the high-frequency carrier and with minimal amplitude modulation and/or rotation (typically outside the target region), TIS was less effective at activation and more effective at block. Unlike amplitude-modulated high-frequency stimulation, TIS generated conduction block with some orientations and amplitude ratios of individual E-field at very high amplitudes of the total E-field (>1700 V/m).

Significance

The complex 3D properties of the TIS E-fields should be accounted for in computational and experimental studies. The mechanisms of suprathreshold cortical TIS appear to involve neural activity block and periodic activation or onset response, consistent with computational studies of peripheral axons. These phenomena occur at E-field strengths too high to be delivered tolerably through scalp electrodes and may inhibit endogenous activity in off-target regions, suggesting limited significance of suprathreshold TIS.
Identifying disease-associated circRNAs based on edge-weighted graph attention and heterogeneous graph neural network
Authors: Lu Chengqian , Zhang Lishen , Zeng Min , Lan Wei , Wang Jianxin
Published: May 2022

Motivation

Circular RNAs (circRNAs) with varied biological activities are implicated in pathogenic processes, according to new findings. They are regarded as promising biomarkers for the diagnosis and prognosis due to their structural features. Computational approaches, as opposed to traditional experiments, can identify the circRNA-disease connections at a lower cost. Multi-source pathogenesis data can help to reduce data sparsity and infer probable connections at the system level. The majority of available approaches create a homologous network using multi-source data, but they lose the data’s heterogeneity. Effective solutions that make use of the peculiarities of multi-source data are urgently needed.

Results

In this paper, we propose a model (CDHGNN) based on edge-weighted graph attention and heterogeneous graph neural networks for discovering probable circRNA-disease correlations prediction. The circRNA network, miRNA network, disease network and heterogeneous network are constructed based on the introduced multi-source data on circRNAs, miRNAs, and diseases. The features for each type of node in the network are then extracted using a designed edge-weighted graph attention network model. Using the revised node features, we learn meta-path contextual information and use heterogeneous neural networks to assign attention weights to different types of edges. CDHGNN outperforms state-of-the-art algorithms with comparable accuracy, according to the findings of the trial. Edge-weighted graph attention networks and heterogeneous graph networks have both improved performance significantly. Furthermore, case studies suggest that CDHGNN is capable of identifying particular molecular connections and can be used to investigate pathogenic pathways.

Contact

jxwang@mail.csu.edu.cn
Modelling the spread and mitigation of an emerging vector-borne pathogen; citrus greening in the U.S.
Authors: Nguyen Viet-Anh , Bartels David W. , Gilligan Christopher A.
Published: May 2022

Predictive models, based upon epidemiological principles and fitted to surveillance data, play an increasingly important role in shaping regulatory and operational policies for emerging outbreaks. Data for parameterising these strategically important models are often scarce when rapid actions are required to change the course of an epidemic invading a new region. We provide a flexible toolkit for landscape-scale disease management, which is applicable to a range of emerging pathogens including vector-borne pathogens for both endemic and invading epidemic vectors. We use the toolkit to analyse and predict the spread of Huanglongbing disease or citrus greening in the U.S. We estimate epidemiological parameters using survey data from one region (Texas) and show how to transfer and test parameters to construct predictive spatio-temporal models for another region (California). The models are used to screen effective coordinated and reactive management strategies for different regions.
Identification of neoantigens in esophageal adenocarcinoma
Authors: Nicholas Ben , Bailey Alistair , McCann Katy J , Wood Oliver , Walker Robert C , Parker Robert , Ternette Nicola , Elliott Tim , Underwood Tim J , Johnson Peter , Skipp Paul
Published: May 2022

Esophageal adenocarcinoma (EAC) has a relatively poor long-term survival and limited treatment options. Promising targets for immunotherapy are short peptide neoantigens containing tumor mutations, presented to cytotoxic T-cells by human leukocyte antigen molecules (HLA). Despite an association between putative neoantigen abundance and therapeutic response across cancers, immunogenic neoantigens are challenging to identify. Here we characterized the mutational and immunopeptidomic landscapes of tumors from a cohort of seven patients with EAC. We directly identified one HLA-I presented neoantigen from one patient, and report functional T-cell responses from a predicted HLA-II neoantigen in a second patient. The predicted class II neoantigen contains both HLA I and II binding motifs. Our exploratory observations are consistent with previous neoantigen studies in finding that neoantigens are rarely directly observed, and an identification success rate following prediction in the order of 10%. However, our identified putative neoantigen is capable of eliciting strong T-cell responses, emphasizing the need for improved strategies for neoantigen identification.
An autonomous mathematical model for the mammalian cell cycle
Authors: Williams Katherine S. , Secomb Timothy W. , El-Kareh Ardith W.
Published: May 2022

A mathematical model for the mammalian cell cycle is developed as a system of 13 coupled nonlinear ordinary differential equations. The variables and interactions included in the model are based on detailed consideration of available experimental data. Key features are that the model is autonomous, except for dependence on external growth factors; variables are continuous in time, without instantaneous resets at phase boundaries; cell cycle controllers and completion of tasks associated with cell cycle progression are represented; mechanisms to prevent rereplication are included; and cycle progression is independent of cell size. Eight variables represent cell cycle controllers: Cyclin D1 in complex with Cdk4/6, APCCdh1, SCFβTrcp, Cdc25A, MPF, NUMA, securin-separase complex, and separase. Five variables represent task completion, with four for the status of origins and one for kinetochore attachment. The model predicts distinct behaviors consistent with each main phase of the cell cycle. The response to growth factors shows restriction-point behavior. These results imply that the main features of the mammalian cell cycle can be accounted for in a quantitative mechanistic way based on known interactions among cycle control factors and their coupling to tasks involved in replication of DNA. The model is robust to parameter changes, in that cycling is maintained over at least a five-fold range of each parameter when varied individually. The most sensitive parameters are those associated with the initiation and completion of mitosis. The model is suitable for exploring how extracellular factors affect cell cycle progression, including responses to metabolic conditions and to anti-cancer therapies.

Author Summary

We created a model, that is, a set of mathematical equations, to represent the entire cell cycle in mammals. All terms in our equations correspond to actual biological mechanisms. We solved the equations and verified that they show similar behavior to real-life cell cycles. We designed our model to cycle only when enough external growth factors stimulate it, as real cells do. Our model helps us better understand how the cell cycle is controlled. One very important aspect of control is how the cell ensures that its DNA is copied only once per cell cycle. If “rereplication” (copying a section of DNA twice in the same cycle) occurs, it can cause harmful DNA damage. We considered several mechanisms that some biologists believe play a role, and found that most could not explain how rare rereplication is. Two mechanisms did work well, and we used them to make two variants of the model, which show similar behavior. The model has many potential applications. The cell cycle is altered in most cancer cells, so understanding how these changes affect control is useful. Many widely-used drugs affect the cell cycle, and our model can be used to study these effects.
Development of a Well-Characterized Cynomolgus Macaque Model of Sudan Virus Disease for Support of Product Development
Authors: Alfson Kendra J. , Goez-Gazi Yenny , Gazi Michal , Chou Ying-Liang , Niemuth Nancy A. , Mattix Marc E. , Staples Hilary , Klaffke Benjamin , Rodriguez Gloria F. , Escareno Priscilla , Bartley Carmen , Ticer Anysha , Clemmons Elizabeth A. , Dutton John W. , Griffiths Anthony , Meister Gabe T. , Sanford Daniel C. , Cirimotich Chris M. , Carrion Ricardo
Published: May 2022

The primary objective of this study was to characterize the disease course in cynomolgus macaques exposed to Sudan virus (SUDV), to determine if infection in this species is an appropriate model for the evaluation of filovirus countermeasures under the FDA Animal Rule. Sudan virus causes Sudan virus disease (SVD), with an average case fatality rate of approximately 50%, and while research is ongoing, presently there are no approved SUDV vaccines or therapies. Well characterized animal models are crucial for further developing and evaluating countermeasures for SUDV. Twenty (20) cynomolgus macaques were exposed intramuscularly to either SUDV or sterile phosphate buffered saline; 10 SUDV-exposed animals were euthanized on schedule to characterize pathology at defined durations post-exposure and 8 SUDV-exposed animals were not part of the scheduled euthanasia cohort. Survival was assessed, along with clinical observations, body weights, body temperatures, hematology, clinical chemistry, coagulation, viral load (serum and tissues), macroscopic observations, and histopathology. There were statistically significant differences between SUDV-exposed animals and mock-exposed animals for 26 parameters, including telemetry body temperature, clinical chemistry parameters, hematology parameters, activated partial thromboplastin time, serum viremia, and biomarkers that characterize the disease course of SUDV in cynomolgus macaques.
Force Field Dependent DNA Breathing Dynamics: A Case Study of Hoogsteen Base Pairing in A6-DNA
Authors: Stone Sharon Emily , Ray Dhiman , Andricioaei Ioan
Published: May 2022

The Hoogsteen (HG) base pairing (bp) conformation, commonly observed in damaged and mutated DNA helices, facilitates DNA repair and DNA recognition. The free energy difference between HG and Watson-Crick (WC) base pairs has been computed in previous studies. However, the mechanism of the conformational transition is not well understood. A detailed understanding of the process of WC to HG base pair transition can provide deeper understanding of DNA repair and recognition. In an earlier study, we explored the free energy landscape for this process using extensive computer simulation with the CHARMM36 force field. In this work, we study the impact of force field models in describing the WC to HG base pairing transition using meta-eABF enhanced sampling, quasi-harmonic entropy calculation, and non-bonded energy analysis. The secondary structures of both base pairing forms and the topology of the free energy landscapes were consistent over different force field models, although the relative free energy, entropy and the interaction energies tend to vary. The relative stability of the WC and HG conformations is dictated by a delicate balance between the enthalpic stabilization and the reduced entropy of the structurally rigid HG structure. These findings highlight the impact that subtleties in force field models can have on accurately modeling DNA base pair dynamics and should stimulate further computational investigations into other dynamically important motions in DNA.

Graphical TOC Entry
Three-dimensional envelope and subunit interactions of the plastid-encoded RNA polymerase from Sinapis alba
Authors: Ruedas Rémi , Couté Yohann , Kieffer-Jacquinod Sylvie , Sankari Muthukumar Soumiya , Gillet François-Xavier , Fenel Daphna , Effantin Grégory , Pfannschmidt Thomas , Blanvillain Robert , Cobessi David
Published: May 2022

RNA polymerases (RNAPs) involved in gene transcription are found in all living organisms with degrees of complexity ranging from single polypeptide chains to multimeric enzymes. In the chloroplasts, the nuclear-encoded RNA polymerase and the plastid-encoded RNA polymerase (PEP) are both involved in the selective transcription of the plastid genome. The PEP is a prokaryotic-type multimeric RNAP found in different states depending on light stimuli and cell identity. One of its active states requires the assembly of nuclear-encoded PEP-Associated Proteins (PAPs) on the catalytic core, producing a complex of more than 900 kDa regarded as essential for chloroplast biogenesis. A purification procedure compatible with structural analysis was used to enrich the native PEP from Sinapis alba chloroplasts. Mass spectrometry (MS)-based proteomic analysis identified the core components, the PAPs and additional members, and coupled to cross-linking (XL-MS) provided initial structural information about the relative position of PEP subunits. Sequence alignments of the catalytic core subunits across various chloroplasts of the green lineage and prokaryotes combined with structural data show that the overall shape of the catalytic core and the residues essential for the catalytic activity are conserved. However, variations are observed at the surface of the core, some of them corresponding to PAP binding sites as suggested by XL-MS experiments. Using negative stain electron microscopy, the PEP 3D envelope was calculated. 3D classification shows that the protrusions which we attribute to the PAPs are firmly associated with the catalytic core. Overall, the shape of the S. alba PEP envelope is different from that of RNAPs.
Genome mining as a biotechnological tool for the discovery of novel biosynthetic genes in lichens
Authors: Singh Garima , Dal Grande Francesco , Schmitt Imke
Published: May 2022

The ever-increasing demand for novel drugs highlights the need for bioprospecting unexplored taxa for their biosynthetic potential. Lichen-forming fungi (LFF) are a rich source of natural products but their implementation in pharmaceutical industry is limited, mostly because the genes corresponding to a majority of their natural products is unknown. Furthermore, it is not known to what extent these genes encode structurally novel molecules. Advance in next-generation sequencing technologies has expanded the range of organisms that could be exploited for their biosynthetic potential. In this study, we mine the genomes of nine lichen-forming fungal species of the genus Umbilicaria for biosynthetic genes, and categorize the BGCs as “associated product structurally known”, and “associated product putatively novel”. We found that about 25-30% of the biosynthetic genes are divergent when compared to the global database of BGCs comprising of 1,200,000 characterized biosynthetic genes from planta, bacteria and fungi. Out of 217 total BGCs, 43 were only distantly related to known BGCs, suggesting they encode structurally and functionally unknown natural products. Clusters encoding the putatively novel metabolic diversity comprise PKSs (30), NRPSs (12) and terpenes (1). Our study emphasizes the utility of genomic data in bioprospecting microorganisms for their biosynthetic potential and in advancing the industrial application of unexplored taxa. We highlight the untapped structural metabolic diversity encoded in the lichenized fungal genomes. To the best of our knowledge, this is the first investigation identifying genes coding for NPs with potentially novel therapeutic properties in LFF.
Bi-axial orientation could explain range expansion in a migratory songbird
Authors: Wynn Joe , Fandos Guillermo , Delmore Kira , Van Doren Benjamin M. , Fransson Thord , Liedvogel Miriam
Published: May 2022

The likelihood of a new migratory route evolving is a function of the associated fitness payoff, and the probability that the route arises in the first place. Cross-breeding studies suggest that young birds migrate in a direction intermediate between their parents, though this would seemingly not explain how highly divergent migratory trajectories arise in apparently sympatric populations. It has been suggested that diametrically opposed ‘reverse’ migratory trajectories might be surprisingly common, and if such routes were heritable it follows that they could underlie the rapid evolution of divergent migratory trajectories. Here, we used Eurasian blackcap (Sylvia atricapilla; ‘blackcap’) ringing recoveries and geolocator trajectories to investigate whether a recently-evolved northwards autumn migratory route could be explained by the reversal of each individual’s expected southwards migratory direction. We found that northwards migrants were recovered closer to the sites specified by a precise axis reversal than would be expected by chance, consistent with the rapid evolution of new migratory routes via bi-axial variation in orientation. We suggest that the surprisingly high probability of axis reversal might allow birds to expand their wintering ranges rapidly, and hence propose that understanding how direction is encoded is crucial when characterising the genetic basis of migratory direction and how this relates to route evolution.
Multivariate Analysis of PET Pharmacokinetic Parameters
Authors: Matheson Granville J. , Ogden R. Todd
Published: May 2022

Purpose

In positron emission tomography (PET) quantification, multiple pharmacokinetic parameters are typically estimated from each time activity curve. Conventionally, all but the parameter of interest are discarded before performing subsequent statistical analysis. However, we assert that these discarded parameters also contain relevant information which can be exploited to improve the precision and power of statistical analyses on the parameter of interest. Properly taking this into account can thereby draw more informative conclusions without collecting more data.

Methods

By applying a hierarchical multifactor multivariate Bayesian approach, all estimated parameters from all regions can be analysed at once. We refer to this method as PuMBA (Parameters undergoing Multivariate Bayesian Analysis). We simulated patientcontrol studies with different radioligands, varying sample sizes and measurement error to explore its performance, comparing the precision, statistical power, false positive rate and bias of estimated group differences relative to univariate analysis methods.

Results

We show that PuMBA improves the statistical power for all examined applications relative to univariate methods without increasing the false positive rate. PuMBA improves the precision of effect size estimation, and reduces the variation of these estimates between simulated samples. Furthermore, we show that PuMBA yields performance improvements even in the presence of substantial measurement error. Remarkably, owing to its ability to leverage information shared between pharmacokinetic parameters, PuMBA even shows greater power than conventional univariate analysis of the true binding values from which the parameters were simulated. Across all applications, PuMBA exhibited a small degree of bias in the estimated outcomes, however this was small relative to the variation in estimated outcomes between simulated datasets.

Conclusion

PuMBA improves the precision and power of statistical analysis of PET data without requiring the collection of additional measurements. This makes it possible to study new research questions in both new and previously collected data. PuMBA therefore holds great promise for the field of PET imaging.
The radio-protective effects of (-)- Epigallocatechin-3-gallate (EGCG): regulating macrophage function in radiation-induced intestinal injury
Authors: Gu Jia , Tang Zhibing , Li Jiaxin , Cui Yilin , Liu Shanghai , Guo Qing , Chen Yuzhong , Lv Sichen , Zhao Lin , Xu Jiaying
Published: May 2022

Accidental and medical radiation exposure may cause radiation-induced intestinal injury (RIII), a catastrophic disease requiring efficient therapies. (-)-Epigallocatechin-3-gallate (EGCG), a major constituent of green tea, has been shown to have potent biological activity as well as strong anti-inflammation effects. Here, we demonstrate that EGCG treatment not only protects mice against total body irradiation (TBI)-induced toxicity and weight loss but also alleviates whole abdominal irradiation (WAI)-induced intestinal injury. EGCG promotes proliferation and survival of intestinal stem cells, inhibits radiation-induced apoptosis and inflammation. At the same time, EGCG preserves the composition of the gut microbiota in WAI mice. In vitro, we demonstrate that EGCG regulates the release of radiation-induced inflammatory factors by inhibiting inflammatory pathways such as toll-like receptor signaling pathway in peritoneal macrophages. Mechanistically, the radioprotective effect of EGCG was likely attributable to its preservation on macrophages and the colonized gut microbiota composition, thus relieving the intestinal inflammation. EGCG provides a novel strategy to mitigate RIII and improve the prognosis of patients after radiotherapy.
Plasma miRNA-214 is a predictive candidate biomarker of progression speed in patients with ALS
Authors: Noh Min-Young , Kwon Min-Soo , Oh Ki-Wook , Nahm Minyeop , Park Jinseok , Kim Young-Eun , Jin Hee Kyung , Bae Jae-sung , Ki Chang-Seok , Kim Seung Hyun
Published: May 2022

This study was designed to develop and validate a reliable biomarker to predict the progression speed reflecting immune function of amyotrophic lateral sclerosis (ALS). After establishing the induced microglia model (iMGs) derived from peripheral blood monocytes, comparative studies to find factors related to phagocytic differences between iMGs of patients with rapidly progressive ALS [ALS(R)-iMGs, n = 15] and those of patients with slowly progressive ALS [ALS(S)-iMGs, n = 14] were conducted in the discovery cohort. To validate discovered candidate and whether it could be used as a reliable biomarker predicting the progression speed of ALS, we recruited 132 patients with ALS and 30 age-matched healthy controls as the validation cohort. ALS(R)-iMGs showed impaired phagocytic function. Transcriptomic analysis revealed that the perturbed phagocytosis in ALS(R)-iMGs was related to the decreased expression of NCKAP1 (NCK-associated protein 1) and NCKAP1 overexpression rescued the impaired phagocytic function. miRNA-214-3p targeting NCKAP1 in ALS-iMGs was correlated with progression speed in the discovery cohort. The validation cohort revealed that plasma miRNA-214-3p levels were significantly increased in ALS patients (p < 0.0001, AUC = 0.839), correlated with disease progression speed (p = 0.0005), and distinguished the rapidly progressive subgroup (Q1) from the slowly progressive (Q4, p = 0.029), respectively. Plasma miRNA-214-3p can predict the progression speed in ALS. Plasma miRNA-214-3p could be used as a simple and easily accessible biomarker for predicting the future progression speed related to phagocytic dysfunction in ALS patients.
Cyclic nucleotide-induced superhelical structure activates a bacterial TIR immune effector
Authors: Hogrel Gaëlle , Guild Abbie , Graham Shirley , Rickman Hannah , Grüschow Sabine , Bertrand Quentin , Spagnolo Laura , White Malcolm F
Published: May 2022

Cyclic nucleotide signalling is a key component of anti-viral defence in all domains of life, from bacteria to humans. Viral detection activates a nucleotide cyclase to generate a second messenger, resulting in activation of effector proteins. This is exemplified by the metazoan cGAS-STING innate immunity pathway1, which originated in bacteria2. These defence systems require a sensor domain such as STING or SAVED to bind the cyclic nucleotide, coupled with an effector domain that causes cell death when activated by destroying essential biomolecules3. One example is the TIR (Toll/interleukin-1 receptor) domain, which degrades the essential cofactor NAD+when activated in response to pathogen invasion in plants and bacteria2,4,5or during nerve cell programmed death6. Here, we show that a bacterial anti-viral defence system generates a cyclic tri-adenylate (cA3) signal which binds to a TIR-SAVED effector, acting as the “glue” to allow assembly of an extended superhelical solenoid structure. Adjacent TIR subunits interact to organise and complete a composite active site, allowing NAD+degradation. Our study illuminates a striking example of large-scale molecular assembly controlled by cyclic nucleotides and reveals key details of the mechanism of TIR enzyme activation.
High-resolution mass spectrometry reveals environmentally relevant uptake, elimination, and metabolic alterations following early embryonic exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin in zebrafish
Authors: Kossack Michelle E. , Manz Katherine E. , Martin Nathan R. , Pennell Kurt D. , Plavicki Jessica
Published: May 2022

Dioxin and dioxin-like compounds are ubiquitous environmental contaminants that induce toxicity by binding to the aryl hydrocarbon receptor (AHR), a ligand activated transcription factor. The zebrafish model has been used to define the developmental toxicity observed following exposure to exogenous AHR ligands such as the potent agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin (dioxin, TCDD). While the model has successfully identified cellular targets of TCDD and molecular mechanisms mediating TCDD-induced phenotypes, fundamental information such as the body burden produced by standard exposure paradigms is still unknown. We performed targeted gas chromatography (GC) high-resolution mass spectrometry (HRMS) in tandem with non-targeted liquid chromatography (LC) HRMS to quantify TCDD uptake, model the elimination dynamics of TCDD, and determine how TCDD exposure affects the zebrafish metabolome. We found that 10 ppb, 1 ppb, and 50 ppt waterborne exposures during early embryogenesis produced environmentally relevant body burden of TCDD: 38 ± 4.34, 26.6 ± 1.2, and 8.53 ± 0.341 pg/embryo, respectively, at 24 hours post fertilization. In addition, we discovered that TCDD exposure was associated with the dysregulation of several metabolic pathways that are critical for brain development and function including glutamate metabolism, chondroitin sulfate biosynthesis, and tyrosine metabolism pathways. Together, these data demonstrate that existing exposure paradigms produce environmentally relevant body burdens of TCDD in zebrafish and provide insight into the biochemical pathways impacted by toxicant-induced AHR activation.

HIGHLIGHTS

Historical TCDD exposure paradigms produce environmentally relevant body burdens in zebrafish embryos.

TCDD elimination for high doses can be modeled using an exponential regression.

Exposure to TCDD alters metabolic pathways that are essential for brain development and function.

GRAPHICAL ABSTRACT