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Seitz, S.

Publications and source records attributed to Seitz, S..

10 recordsLinked to original sources

Serum IgM crosslinks hepatitis B subviral particles into supramolecular immune complexes

Hepatitis B virus (HBV)-infected cells release hepatitis B surface antigen (HBsAg)-rich subviral particles (SVPs) in large excess over infectious virions. SVPs bind antibodies against HBsAg (anti-HBs), including neutralizing antibodies, but the physical products of antibody capture in human blood are uncharacterized. Here we used cryo-electron tomography (cryo-ET) to image HBsAg-enriched serum from a patient with severe acute Hepatitis B and observed three-dimensional assemblies of intact IgM-SVP immune complexes. These associations persisted at a lower particle density and were validated by a spatial-randomization null model. Subtomogram averaging and single-particle cryo-electron microscopy (cryo-EM) identified three serum IgM Fc-core assemblies, IgM-J-CD5L, IgM-J and IgM-J-SC, with cryo-EM maps reaching 2.8 angstrom resolution. Mapping these Fc core assemblies into tomograms revealed full-length IgM engaging individual SVPs through several Fab arms and bridging neighboring particles into immune complex networks containing multiple IgM molecules and SVPs. Thus, serum IgM uses multivalent Fab interactions to crosslink HBsAg-rich SVPs into supramolecular immune complexes. This observation extends the SVP decoy model from passive antibody sequestration to higher-order particle organization.

molecular biology↗

Multitrophic interaction networks mediate biodiversity effects on ecosystem multifunctionality

Biodiversity loss threatens the multifunctionality of ecosystems on which human well-being ultimately depends. Changes in multitrophic species interactions may be key to explaining the ecological consequences of biodiversity loss, but research explicitly linking species interactions and ecosystem multifunctionality remains rare. To assess interaction-mediated biodiversity effects and underlying mechanisms, characterizing the structure of species interaction networks is invaluable. Using comprehensive species interaction and ecosystem functioning data from a large-scale tree biodiversity experiment, we find consistent effects of the structure of species interaction networks on ecosystem multifunctionality across multiple types of antagonistic and mutualistic interactions. While positive effects of network size align with expected positive effects of multitrophic species diversity, positive effects of niche overlap among interacting species and negative effects of highly connected species (i.e. high linkage density) reveal additional, interaction-mediated drivers of multifunctionality. Specifically, the effects of niche overlap suggest benefits of functionally similar species, and the effects of linkage density underscore the importance of specialized interactions in promoting ecosystem multifunctionality. These findings emphasize that to effectively safeguard ecosystem service provisioning, ecosystem management and biodiversity conservation not only need to account for biodiversity changes at multiple trophic levels, but also explicitly for how species interact among each other.

ecology↗

Ammonium retention by Amberlite IRC-748 resin: useful for concentration assessments

Chelating ion exchange resins are widely used to eliminate metal interferences in the analysis of ammonium (NH4+) in soil extraction solutions. However, their potential to co-adsorb NH4+ remains underexplored. Here, synthetic metal ion solutions containing 6-30 mg L-1 NH4+ and the metal cations Ca2+, Mg2+, Cu2+, Mn2+, and Zn2+ were treated with Amberlite IRC-748 resin. The resin efficiently removed Ca2+ (-42.2%), Mg2+ (-21.1%), Cu2+ (-99.9%), Mn2+ (-56.9%), and Zn2+ (-93.6%). However, NH4+ losses of 2.2-5.6% were observed, indicating concentration-dependent co-adsorption. While these losses may be acceptable for concentration measurements via routine assays such as photometric analysis, they may still affect the accuracy of high-precision N analyses that rely on quantitative NH4+ recovery. This highlights a methodological caveat for resin-treated samples, especially in low-NH4+ environments. We therefore recommend including recovery assessments and correction factors when using chelating resins to improve accuracy in NH4+ quantification.

ecology↗

Tree diversity intensifies soil microorganism-tree interactions

O_LIA productivity-driven higher nutrient demand of trees in diverse mixtures is frequently reported. Yet, it remains unclear how tree diversity influences microorganisms-plants interactions, in which microbes facilitate tree nutrient acquisition in exchange for carbon (C) to meet the resource demand of both. C_LIO_LIUsing a long-term tree diversity experiment in the subtropics, we assessed microbial investment in C-, nitrogen (N)-, and phosphorus (P)-acquiring enzymes in litter and mineral soil, testing the effects of tree species richness and mycorrhizal type (arbuscular (AM)- vs. ectomycorrhizal (EcM)-associated tree species). C_LIO_LIWith increasing tree species richness, microbial investment in C acquisition decreased, while investment in N and/or P acquisition increased in litter and in mineral soil. In mineral soil of AM-associated tree mixtures, ecoenzymatic stoichiometry revealed a shift from microbial investment in C toward P acquisition as tree species richness increased. C_LIO_LIOur findings suggest that tree diversity strengthens microbe-tree interactions in terms of C-for-nutrient exchange. This highlights the key role of soil microorganisms, particularly in AM symbiosis, shaping tree diversity-biogeochemical feedbacks. C_LI

ecology↗

Hepatitis B virus proteome analysis identifies apolipoprotein C1 facilitating particle production and virus entry

Background & AimsAntiviral therapies targeting hepatitis B virus (HBV) suppress viral replication, but rarely achieve functional cure. Understanding HBV-host cell interaction is crucial for developing novel therapeutic approaches. Here, we report host cell proteins associated with HBV virions and filamentous subviral particles (fSVPs) and characterize one of them, apolipoprotein C1 (ApoC1), mechanistically. MethodsHighly purified HBV virions and fSVPs were obtained by sequential use of several biophysical methods. Particles were analyzed by mass spectrometry and associated proteins were evaluated phenotypically using an HBV infection model. The top hit, ApoC1 was characterized in detail. ResultsAssociated with virions and fSVPs, we identified in addition to known chaperones such as HSP90AB1 and HSC70, several apolipoprotein-related factors. RNAi-based phenotypic validation identified strongest effects for ApoC1, likely due to two complementary effects. First, ApoC1 depletion reduced intracellular cholesterol level impairing HBV infection and SVP production, which was compensated by exogenous cholesterol substitution. Second, ApoC1 that is mainly enriched in high-density lipoprotein (HDL), associates with HBV virions and fSVPs and increases HBV infectivity. The same was found for hepatitis D virus (HDV), a satellite virus utilizing HBV envelopes. Supplementation of exogenous HDL enhanced infection most likely via scavenger receptor class B type 1 (SR-B1), the natural HDL receptor. Consistently, inhibition of SR-B1 suppressed HBV and HDV infection. ConclusionsWe established a method for obtaining highly purified HBV virions and fSVPs and identified the HDL component ApoC1 to associate with both particle types. ApoC1 promotes HBV and HDV infection most likely via SR-B1 facilitating viral entry.

molecular biology↗

Data-Driven Virus Discovery with Virushunter and Virusgatherer

We present Virushunter and Virusgatherer, a bipartite computational workflow for discovering viral genomes from unprocessed next-generation sequencing data. Virushunter conducts a profile Hidden Markov Model-based sequence homology search for viral hallmark protein-coding sequence reads to construct microcontigs, which are used as seeds for targeted viral genome assembly by Virusgatherer. We showcase the application of Virushunter and Virusgatherer through an RNA virus-wide screen in 3348 bat transcriptome sequencing experiments from the Sequence Read Archive. Many of the discovered viruses are likely prototypes of new putative virus species, including a novel alphacoronavirus identified in a South American velvety free-tailed bat and a novel rhabdovirus in a European barbastelle bat. The tools are implemented as a reproducible Snakemake pipeline, which is available at https://github.com/lauberlab/VirusHunterGatherer.

bioinformatics↗

RNA genome expansion up to 64 kb in nidoviruses is host constrained and associated with new modes of replicase expression

Positive-strand RNA viruses of the order Nidovirales with genomes larger than [~]20 kb, including the largest known 36.7 kb RNA genome in vertebrate viruses, encode a proofreading exoribonuclease (ExoN). Here, we assemble 76 genome sequences of invertebrate nidoviruses from >500.000 published transcriptome experiments and triple the number of known nidoviruses with >36 kb genomes, including the largest known 64 kb RNA genome. We classify multi-cistronic ExoN-encoding nidoviruses into five groups, according to canonical and non-canonical modes of viral polymerase expression by ribosomes and genome segmentation. The largest group employing the canonical mode comprises invertebrate and vertebrate nidoviruses, including coronaviruses, with genomes ranging from 20-to-36 kb. Four groups with non-canonical expression modes include giant invertebrate nidoviruses with 31-to-64 kb genomes, some of which utilize dual ribosomal frameshifting that we validate experimentally. Thus, expansion of giant RNA virus genomes, the vertebrate/invertebrate host division, and the control of viral replicase expression are interconnected.

microbiology↗

Comprehensive profiling of wastewater viromes by genomic sequencing

Genomic material in wastewater provides a rich source of data for detection and surveillance of microbes. Used for decades to monitor poliovirus and other pathogens, the SARS-CoV-2 pandemic and the falling costs of high-throughput sequencing have substantially boosted the interest in and the usage of wastewater monitoring. We have longitudinally collected over 100 samples from a wastewater treatment plant in Berlin/Germany, from March 2021 to July 2022, in order to investigate three aspects. First, we conducted a full metagenomic analysis and exemplified the depth of the data by temporal tracking strains and to a certain extent also variants of human astroviruses and enteroviruses. Second, targeting respiratory pathogens, a broad enrichment panel enabled us to detect waves of RSV, influenza, or common cold coronaviruses in high agreement with clinical data. Third, by applying a profile Hidden Markov Model-based search for novel viruses, we identified more than 100 thousand novel transcript assemblies likely not belonging to known virus species, thus substantially expanding our knowledge of virus diversity. Taken together, we present a longitudinal and deep investigation of the viral genomic information in wastewater that underlines the value of sewage surveillance for both public health purposes and planetary virome research.

genomics↗

Deep mining of the Sequence Read Archive reveals bipartite coronavirus genomes and inter-family Spike glycoprotein recombination

Genetic variation in RNA viruses is generated by point mutation and recombination as well as reassortment in the case of viruses with segmented genomes. While point mutation concerns only few sites per genome copy, recombination and reassortment can affect large genome regions, possibly facilitating the sudden emergence of novel traits. The contribution of recombination and reassortment to genomic plasticity and their rates remain poorly understood and might be underappreciated because of the lack of a comprehensive description of the virosphere. Here we employed a computational approach that directly queries primary sequencing data in a highly parallelized way and involves a targeted viral genome assembly strategy. By screening more than 213,000 data sets from the Sequence Read Archive repository and using two metrics that quantitatively assess assembly quality we discovered 25 novel nidoviruses from a wide range of vertebrate hosts. These include eight fish coronaviruses with bipartite genomes, a giant 36.1 kilobase coronavirus genome with a duplicated Spike glycoprotein (S) gene, and 16 additional so far undescribed vertebrate nidoviruses. Some of these novel virus genomes encode protein domains that have not been described for nidoviruses. We provide evidence for a possible inter-family homologous recombination event involving S between ancestral bipartite coronaviruses and unsegmented tobaniviruses and report a case example of an individual fish simultaneously infected with members from both virus families. Our results shed light on the evolution and genomic plasticity of coronaviruses and identify recombinants with a possibly improved ability to cross species barriers, which might elevate their pandemic potential.

microbiology↗

Comparative analysis of PknB inhibitors for reactivity and toxicity

Bacterial serine/threonine kinases are increasingly sought after as drug targets for new antibiotics. PknB, an essential kinase in Mycobacteria tuberculosis, is intensely targeted, and many inhibitors are in the developmental pipeline. These inhibitors typically are derived from screens of known kinase inhibitors and most share similar chemical properties as their parent compounds were all designed for optimal pharmacokinetic properties in the human body. Here, we investigate the reactivity and toxicity of a proposed PknB inhibitor, YH-8, which does not follow traditional drug design rules. We found that the compound is highly reactive with thiolating agents and has appreciable toxicity in a zebrafish animal model. Furthermore, we find minimal anti-mycobacterial activity with non-tubercular mycobacteria strains. These data suggest that further investigation is needed into its efficacy and physiochemical properties if it is to be further developed as an effective antibiotic.

microbiology↗