Biology subjects

Hafenstein, S.

Publications and source records attributed to Hafenstein, S..

5 recordsLinked to original sources

bioRxiv2026

Structural Basis for C8 methylation of 23S ribosomal RNA by Cfr

Cfr methylates C8 of adenosine 2503 (A2503) in 23S ribosomal RNA (rRNA) and will also methylate C2 of A2503 after methylating C8. C8 methylation confers resistance to more than five classes of clinically used antibiotics, highlighting it as a worrisome mechanism of antibiotic resistance. Here, we report the structure of Cfr, determined by cryogenic electron microscopy (Cryo-EM). Despite its small size ([~]36 kDa), we exploit a transient protein-RNA crosslink that forms during catalysis, which requires Cys105 to resolve. Using a Cfr Cys105Ala variant and an 87-nucleotide strand of rRNA, we isolate the crosslinked species and determine its structure to 3.0 [A] resolution. Notably, the 87-mer rRNA adopts an L-shaped conformation characteristic of tRNAs, rather than the conformation it assumes in the ribosome. One Sentence SummaryCryo-EM structure of Cfr, a radical S-adenosylmethionine methylase that confers antibiotic resistance

biochemistry↗

bioRxiv2023

Viral capsid, antibody, and receptor interactions: experimental analysis of the antibody escape evolution of canine parvovirus

Canine parvovirus (CPV) is a small non-enveloped single-stranded DNA virus that causes serious diseases in dogs worldwide. The original strain of the virus (CPV-2) emerged in dogs during the late-1970s due to a host range switch of a virus similar to the feline panleukopenia virus (FPV) that infected another host. The virus that emerged in dogs had altered capsid receptor- and antibody-binding sites, with some changes affecting both functions. Further receptor and antibody binding changes arose when the virus became better adapted to dogs or to other hosts. Here, we use in vitro selection and deep sequencing to reveal how two antibodies with known interactions select for escape mutations in CPV. The antibodies bind two distinct epitopes, and one largely overlaps the host receptor binding site. We also engineered antibody variants with altered binding structures. Viruses were passaged with the wild type or mutated antibodies, and their genomes deep sequenced during the selective process. A small number of mutations were detected only within the capsid protein gene during the first few passages of selection, and most sites remained polymorphic or were slow to go to fixation. Mutations arose both within and outside the antibody binding footprints on the capsids, and all avoided the TfR-binding footprint. Many selected mutations matched those that have arisen in the natural evolution of the virus. The patterns observed reveal the mechanisms by which these variants have been selected in nature and provide a better understanding of the interactions between antibody and receptor selections. IMPORTANCEAntibodies protect animals against infection by many different viruses and other pathogens, and we are gaining new information about the epitopes that induce antibody responses against viruses and the structures of the bound antibodies. However, less is known about the processes of antibody selection and antigenic escape and the constraints that apply in this system. Here, we use an in vitro model system and deep genome sequencing to reveal the mutations that arise in the virus genome during selection by each of two monoclonal antibodies or their engineered variants. High-resolution structures of each of the Fab: capsid complexes revealed their binding interactions. The engineered forms of the wild-type antibodies or mutant forms allowed us to examine how changes in antibody structure influence the mutational selection patterns seen in the virus. The results shed light on the processes of antibody binding, neutralization escape, and receptor binding, and likely have parallels for many other viruses.

evolutionary biology↗

bioRxiv2021

Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning

Rapid identification of newly emerging or circulating viruses is an important first step toward managing the public health response to potential outbreaks. A portable virus capture device coupled with label-free Raman Spectroscopy holds the promise of fast detection by rapidly obtaining the Raman signature of a virus followed by a machine learning approach applied to recognize the virus based on its Raman spectrum. In this paper, we present a machine learning analysis on Raman spectra of human and avian viruses. A Convolutional Neural Network (CNN) classifier specifically designed for spectral data achieves very high accuracy for a variety of virus type or subtype identification tasks. In particular, it achieves 99% accuracy for classifying influenza virus type A vs. type B, 96% accuracy for classifying four subtypes of influenza A, 95% accuracy for differentiating enveloped and non-enveloped viruses, and 99% for differentiating avian coronavirus (infectious bronchitis virus, IBV) from other avian viruses. Furthermore, interpretation of neural net responses in the trained CNN model using a full-gradient algorithm highlights Raman spectral ranges that are most important to virus identification. By correlating ML-selected salient Raman ranges with the signature ranges of known biomolecules and chemical functional groups (e.g. amide, amino acid, carboxylic acid) we verify that our ML model effectively recognizes the Raman signatures of proteins, lipids and other vital functional groups present in different viruses and uses a weighted combination of these signatures to identify viruses. The accurate and interpretable machine learning model developed for Raman virus identification presents promising potential in a real-time virus detection system. Significance StatementA portable micro-fluidic platform for virus capture promises rapid enrichment and label-free optical identification of viruses by Raman spectroscopy. A large Raman dataset collected on a variety of viruses enables the training of machine learning (ML) models capable of highly accurate and sensitive virus identification. The trained ML models can then be integrated with the portable device to provide real-time virus detection and identification capability. We validate this conceptual framework by presenting highly accurate virus type and subtype identification results using a convolutional neural network to classify Raman spectra of viruses.

biophysics↗

bioRxiv2020

Everything you wanted to know about Mayaro virus but were afraid to ask: Characterization and lifecycle of Mayaro virus in vertebrate and invertebrate cellular backgrounds

Mayaro virus (MAYV) is an emerging new world alphavirus (genus Alphavirus, family Togaviridae) that causes acute multiphasic febrile illness, skin rash, polyarthritis, and occasional severe clinical phenotypes. The virus lifecycle alternates between invertebrate and vertebrate hosts. Here we characterize the replication features, cell entry, life cycle, and virus-related cell pathology of MAYV using vertebrate and invertebrate in vitro models. Electron dense clathrin-coated pits in infected cells, and reduced viral production in the presence of dynasore, ammonium chloride, and bafilomycin, indicates that viral entry occurs through pH-dependent endocytosis. Increase in FITC-dextran uptake (an indicator of macropinocytosis) in MAYV-infected cells, and dose-dependent infection inhibition by 5-(N-ethyl-N-isopropyl) amiloride (a macropinocytosis inhibitor), indicated that macropinocytosis is an additional entry mechanism of MAYV in vertebrate cells. Acutely infected vertebrate and invertebrate cells formed cytoplasmic or membrane-associated extracytoplasmic replication complexes. Mosquito cells showed modified hybrid cytoplasmic vesicles that supported virus replication, nucleocapsid production, and maturation. Mature virus particles were released from cells by both exocytosis and budding from the cell membrane. MAYV replication was cytopathic and associated with induction of apoptosis by the intrinsic pathway, and later by the extrinsic pathway in infected vertebrate cells. Given that MAYV is expanding its geographical existence as a potential public health problem, this study lays the foundation of biological understanding valuable for therapeutic and preventive interventions.

microbiology↗

bioRxiv2019

Limited intra-host diversity and background evolution accompany 40 years of canine parvovirus host adaptation and spread

Canine parvovirus (CPV) is a highly successful pathogen that has sustained pandemic circulation in dogs for more than 40 years. Here, integrating full-genome and deep sequencing analyses, structural information, and in vitro experimentation, we describe the macro- and micro-scale features that have accompanied CPVs evolutionary success. Despite 40 years of viral evolution, all CPV variants are >[~]99% identical in nucleotide sequence, with only a limited number (<40) of mutations becoming fixed or widespread during this time. Notably, most changes in the major capsid protein (VP2) are nonsynonymous and fall within, or adjacent to, the overlapping receptor footprint or antigenic regions, suggesting competitive selective pressures have played a key role in CPV evolution and likely constrained its evolutionary trajectory. Moreover, among the limited number of variable sites, CPV genomes exhibit complex patterns of variation that likely include parallel evolution, reversion, and recombination, making phylogenetic inference difficult. Additionally, deep sequencing of viral DNA in original clinical samples collected from dogs and other host species sampled between 1978 and 2018 revealed few sub-consensus single nucleotide variants (SNVs) above [~]0.5%, and experimental passages demonstrate that substantial pre-existing genetic variation is not necessarily required for rapid host receptor driven adaptation. Together, these findings suggest that although CPV is capable of rapid host adaptation, relatively low mutation rate, pleiotropy, and/or a lack of selective challenges since its initial emergence have reduced the long-term genetic diversity accumulation and evolutionary rate. Hence, continuously high levels of inter- and intra-host diversity are not intrinsic to highly adaptable viruses.\n\nIMPORTANCERapid mutation rates and correspondingly high levels of standing intra-host diversity and accumulated inter-host diversity over epidemic scales are often cited as key features of viruses with the capacity for emergence and sustained transmission in a new host species. However, most of this information comes from studies of RNA viruses, with relatively little being known about that evolutionary processes that occur for viruses with DNA genomes. Here we provide a unique model of virus evolution, integrating both long-term global-scale and short-term intra-host evolutionary processes of a virus in a new host animal. Our analysis reveals that successful host jumping and sustained onward transmission does not necessarily depend on a high level of intra-host diversity or result in the continued accumulation of high levels of long-term evolution change. These findings indicate that all aspects of a viruss biology and ecology are relevant when considering their adaptability.

evolutionary biology↗