Biology subjects

Hensel, Z.

Publications and source records attributed to Hensel, Z..

14 recordsLinked to original sources

bioRxiv2025

FtsW protein-protein interactions visualized in live Staphylococcus aureus cells by FLIM-FRET

The bacterial cell cycle relies on the coordinated and dynamic interactions between division proteins and those involved in peptidoglycan (PG) synthesis. However, visualizing these interactions in vivo remains technically challenging. Here, we established fluorescence-lifetime imaging microscopy combined with Forster resonance energy transfer (FLIM-FRET) as a robust, spatially resolved technique to visualize protein interactions in living Staphylococcus aureus using fluorescent proteins. After systematically optimizing growth conditions and the analysis pipeline, we validated the method with cytosolic and membrane-anchored control proteins, achieving FRET efficiencies of up to 40%. Using FLIM-FRET, we mapped the protein interactions of the critical glycosyltransferase FtsW within the septal PG synthesizing complex. We confirmed its interaction with the cognate transpeptidase PBP1 and the regulatory protein DivIB. Notably, we found that FtsW also self-interacts, an observation corroborated by an alternative FLIM-FRET method employing Halo-Tag labelled with Janelia Fluor dyes. These findings support the hypothesis that septal PG synthesis may be carried out by a complex of multimers, capable of simultaneously synthesizing more than one glycan strand. Inhibition of PG synthesis by directly targeting PBP1 with the beta-lactam antibiotic imipenem weakened the interaction between PBP1 and FtsW, whereas the FtsW self-interaction was enhanced in a dose-dependent manner. In contrast, inhibition of PG synthesis by targeting the lipid II flippase, therefore depleting the FtsW-PBP1 substrate from the outer surface of the cell membrane, had little effect on these interactions. This suggests that alterations in FtsW interactions result primarily from antibiotic-induced conformational changes or from uncoupling the activities of FtsW and PBP1, resulting in the presence of uncrosslinked glycans, rather than merely from a loss of PG synthesis activity.

microbiology↗

bioRxiv2025

An updated dataset of early SARS-CoV-2 diversity supports a wildlife market origin

The origin of SARS-CoV-2 has been intensely scrutinized, and epidemiological and genomic evidence has consistently pointed to Wuhans Huanan Seafood Wholesale Market as the epicenter of the COVID-19 pandemic. Early cases were associated with this market, and environmental sequencing placed the common ancestor of SARS-CoV-2 genomic diversity within the market. Phylogenetic analysis also suggested separate introductions of lineages A and B into the human population, a finding that can be tested with additional data. Here, we curated an expanded sequence dataset of early SARS-CoV-2 viral genomes, including newly available sequences from mid-January 2020. In this dataset, we found no additional support for previously proposed alternative progenitor sequences, or for any evolutionary intermediates between lineages A and B in the human population. Instead, we identified SARS-CoV-2 lineages that may have spread from the market, and additional samples of a sublineage of lineage A with three mutations, including one found in closely related bat coronaviruses. Although our analysis of early pandemic genomes suggests that this mutation is unlikely to characterize the immediate SARS-CoV-2 ancestor, it is more plausible than two previously proposed ancestral genomes. These findings reinforce the proposed emergence of SARS-CoV-2 from the wildlife trade at the Huanan market, demonstrating how new data continues to both solidify and clarify our understanding of how the pandemic began.

microbiology↗

bioRxiv2025

The small GTPase Rab5 inhibits actin polymerization mediated by the Legionella pneumophila effector VipA

Legionella pneumophila is a facultative intracellular Gram-negative bacterium that causes Legionnaires disease, one of the most severe manifestations of atypical pneumonia. L. pneumophila naturally thrives within protozoan hosts in aquatic environments, which serve as reservoirs for bacterial replication and transmission. Inhalation of contaminated aerosols delivers L. pneumophila to the lungs where it is able to infect human alveolar macrophages and multiply intracellularly inside a membrane-bound compartment, the Legionella-containing vacuole (LCV). The main virulence factor of the bacteria is the Icm/Dot type IVb secretion system, responsible for the translocation of over 300 bacterial effector proteins into host cells. These effectors allow the remodelation of the LCV into a replication-competent compartment that seggregates from the phagolysosomal pathway. After being translocated into host cells, L. pneumophila effector VipA associates with early endosomes and F-actin. VipA increases the polymerization of actin filaments in vitro by promoting the nucleation step without the requirement of additional partners, and impairs vesicle trafficking in Saccharomyces cerevisiae. In this work, we sought the interacting partners of VipA in early endosomes and explored the effects of this association. We found that VipA interacts directly to two key components of these organelles, the membrane lipid PI3P and the small GTPase Rab5. Binding to Rab5 requires the N-terminal region of VipA but not the C-terminal/actin-binding region. Furthermore, binding to Rab5 inhibits VipA-mediated actin polymerization by preventing de novo actin filament formation. These findings offer new insights into VipAs mode of action and underscore the intricate interactions between L. pneumophila effectors and their host cell targets, namely the endocytic pathway.

microbiology↗

bioRxiv2024

Fbxo42 promotes the degradation of Ataxin-2 granules to trigger terminal Xbp1 signaling

The Unfolded Protein Response (UPR) is composed by homeostatic signaling pathways that are activated by the accumulation of misfolded proteins in the Endoplasmic Reticulum (ER), a condition known as ER stress. Prolonged ER stress and activation of the UPR causes cell death, by mechanisms that remain poorly understood. Here, we report that regulation of Ataxin-2 by Fbxo42 is a crucial step during UPR-induced cell death. From a genetic screen in Drosophila, we identified loss of function mutations in Fbxo42 that suppress cell death and retinal degeneration induced by the overexpression of Xbp1spliced, an important mediator of the UPR. We identified the RNA binding protein Ataxin-2 as a substrate of Fbxo42, which, as part of a Skp-A/Cullin-1 complex, promotes the ubiquitylation and degradation of Ataxin-2. Upon ER-stress, the mRNA of Xbp1 is not immediately translated but instead it is sequestered and stabilized in Ataxin-2 granules, until the Fbxo42 recruitment to these granules promotes the degradation of Ataxin-2, allowing the translation of Xbp1 mRNA at later stages of UPR activation. Our results identify Fbxo42-mediated degradation of Ataxin-2 as a key mechanism regulating the levels of Xbp1 mRNA and protein, to trigger cell death during the terminal stages of UPR activation.

cell biology↗

bioRxiv2024

Mycobacterium tuberculosis FtsB and PerM interact via a C-terminal helix in FtsB to modulate cell division

Latent infection by Mycobacterium tuberculosis (Mtb) impedes effective tuberculosis therapy and eradication. The protein PerM is essential for chronic Mtb infections in mice and acts via the divisome protein FtsB to modulate cell division. Using transgenic co-expression in Escherichia coli, we studied the Mtb PerM-FtsB interaction in isolation from other Mtb proteins, engineering PerM to enhance expression in the E. coli membrane. We confirmed the reported instability of Mtb FtsB, and we linked FtsB instability to a segment of FtsB predicted to bind cell-division proteins FtsL and FtsQ. Using fluorescence microscopy, we found that PerM stability hinged on its interaction with a C-terminal helix in FtsB. Molecular dynamics results supported the observation that FtsB stabilized PerM, and suggested that interactions at the PerM-FtsB interface differ from our initial structure prediction in a way that is consistent with PerM sequence conservation. Though narrowly conserved, the PerM-FtsB interaction emerges as a potential target for therapy targeting persistent infections by disrupting regulation of cell division. Integrating protein structure prediction, molecular dynamics and single-molecule microscopy, our approach is primed to screen potential inhibitors of the PerM-FtsB interaction and can be straightforwardly adapted to explore other putative interactions. ImportanceOur research reveals significant insights into the dynamic interaction between the proteins PerM and FtsB within Mycobacterium tuberculosis, contributing to our understanding of bacterial cell division mechanisms crucial for infection persistence. By combining innovative fluorescence microscopy and molecular dynamics, we established that the stability of these proteins is interdependent; molecular dynamics placing PerM-FtsB in the context of the mycobacterial divisome show how disrupting PerM-FtsB interaction can plausibly impact bacterial cell wall synthesis. These findings highlight the PerM-FtsB interface as a promising target for novel therapeutics aimed at combating persistent bacterial infections. Importantly, our approach can be adapted for similar studies in other bacterial systems, suggesting broad implications for microbial biology and antibiotic development.

molecular biology↗

bioRxiv2024

Secondary structure of the SARS-CoV-2 genome is predictive of nucleotide substitution frequency

Accurate estimation of the effects of mutations on SARS-CoV-2 viral fitness can inform public-health responses such as vaccine development and predicting the impact of a new variant; it can also illuminate biological mechanisms including those underlying the emergence of variants of concern (Carabelli et al., 2023). Recently, Lan et al. reported a model of SARS-CoV-2 secondary structure and its underlying dimethyl sulfate (DMS) reactivity data (Lan et al., 2022). I investigated whether base reactivities and secondary structure models derived from them can explain some variability in the frequency of observing different nucleotide substitutions across millions of patient sequences in the SARS-CoV-2 phylogenetic tree. Nucleotide basepairing was compared to the estimated "mutational fitness" of substitutions, a measurement of the difference between a substitutions observed and expected frequency that is correlated with other estimates of viral fitness (Bloom and Neher, 2023). This comparison revealed that secondary structure is often predictive of substitution frequency, with significant decreases in substitution frequencies at basepaired positions. Focusing on the mutational fitness of C[->]U, the most common type of substitution, I describe C[->]U substitutions at basepaired positions that characterize major SARS-CoV-2 variants; such mutations may have a greater impact on fitness than appreciated when considering substitution frequency alone.

molecular biology↗

bioRxiv2024

A critical reexamination of recovered SARS-CoV-2 sequencing data

SARS-CoV-2 genomes collected at the onset of the Covid-19 pandemic are valuable because they could help understand how the virus entered the human population. In 2021, Jesse Bloom reported on the recovery of a dataset of raw sequencing reads that had been removed from the NCBI SRA database at the request of the data generators, a scientific team at Wuhan University (Wang et al., 2020b). Bloom concluded that the data deletion had obfuscated the origin of SARS-CoV-2 and suggested that deletion may have been requested to comply with a government order; further, he questioned reported sample collection dates on and after January 30, 2020. Here, we show that sample collection dates were published in 2020 by Wang et al. together with the sequencing reads, and match the dates given by the authors in 2021. Collection dates of January 30, 2020 were manually removed by Bloom during his analysis of the data. We examine mutations in these sequences and confirm that they are entirely consistent with the previously known genetic diversity of SARS-CoV-2 of late January 2020. Finally, we explain how an apparent phylogenetic rooting paradox described by Bloom was resolved by subsequent analysis. Our reanalysis demonstrates that there was no basis to question the sample collection dates published by Wang et al.. Note for bioRxiv readersThe automatically generated Full Text version of our manuscript is missing footnotes; they are available in the PDF version.

evolutionary biology↗

bioRxiv2023

Genetic tracing of market wildlife and viruses at the epicenter of the COVID-19 pandemic

Zoonotic spillovers of viruses have occurred through the animal trade worldwide. The start of the COVID-19 pandemic was traced epidemiologically to the Huanan Wholesale Seafood Market, the site with the most reported wildlife vendors in the city of Wuhan, China. Here, we analyze publicly available qPCR and sequencing data from environmental samples collected in the Huanan market in early 2020. We demonstrate that the SARS-CoV-2 genetic diversity linked to this market is consistent with market emergence, and find increased SARS-CoV-2 positivity near and within a particular wildlife stall. We identify wildlife DNA in all SARS-CoV-2 positive samples from this stall. This includes species such as civets, bamboo rats, porcupines, hedgehogs, and one species, raccoon dogs, known to be capable of SARS-CoV-2 transmission. We also detect other animal viruses that infect raccoon dogs, civets, and bamboo rats. Combining metagenomic and phylogenetic approaches, we recover genotypes of market animals and compare them to those from other markets. This analysis provides the genetic basis for a short list of potential intermediate hosts of SARS-CoV-2 to prioritize for retrospective serological testing and viral sampling.

genomics↗

bioRxiv2023

Processive movement of Staphylococcus aureus essential septal peptidoglycan synthases is independent of FtsZ treadmilling and drives cell constriction

Bacterial cell division is mediated by the tubulin-homolog FtsZ, which recruits peptidoglycan (PG) synthesis enzymes to the division site. Septal PG synthases promote inward growth of the division septum, but the mechanisms governing the spatiotemporal regulation of these enzymes are poorly understood. Recent studies on various organisms have proposed different models for the relationship between the movement and activity of septum-specific PG synthases and FtsZ treadmilling. Here, we studied the movement dynamics of conserved cell division proteins relative to the rates of septum constriction and FtsZ treadmilling in the Gram-positive pathogen Staphylococcus aureus. The septal PG synthesis enzyme complex FtsW/PBP1 and its putative activator protein, DivIB, moved processively, around the division site, with the same velocity. Impairing FtsZ treadmilling did not affect FtsW and DivIB velocities or septum constriction rates. Contrarily, inhibition of PG synthesis slowed down or completely stopped both septum constriction and the directional movement of FtsW/PBP1 and DivIB. Our findings support a model for S. aureus in which a single population of processively moving FtsW/PBP1 remains associated with DivIB to drive cell constriction independently of treadmilling FtsZ filaments.

microbiology↗

bioRxiv2022

Conformational changes in the essential E. coli septal cell wall synthesis complex suggest an activation mechanism

The bacterial divisome, a macromolecular machine that is composed of more than thirty proteins in E. coli, orchestrates the essential process of cell wall constriction during cell division. Novel antimicrobial strategies can target protein-protein interactions within the divisome and will benefit from insights into divisome structure and dynamics. In this work, we combined structure prediction, molecular dynamics simulation, single-molecule imaging, and mutagenesis to construct a model of the core complex of the E. coli divisome composed of the essential septal cell wall synthase complex formed by FtsW and FtsI, and its regulators FtsQ, FtsL, FtsB, and FtsN. We observed extensive interactions in four key regions in the periplasmic domains of the complex. FtsQ, FtsL, and FtsB scaffold FtsI in an extended conformation with the FtsI transpeptidase domain lifted away from the membrane through interactions among the C-terminal domains. FtsN binds between FtsI and FtsL in a region rich in residues with superfission (activating) and dominant negative (inhibitory) mutations. Mutagenesis experiments in cellulo and in silico revealed that the essential domain of FtsN functions as a tether to tie FtsI and FtsL together, impacting interactions between the anchor-loop of FtsI and the putative catalytic region of FtsW, suggesting a mechanism of how FtsN activates the cell wall synthesis activities of FtsW and FtsI.

biophysics↗

bioRxiv2022

Predicted binding interface between coronavirus nsp3 and nsp4

Double membrane vesicles (DMVs) in coronavirus-infected cells feature pores that span both membranes. DMV pores were observed to have six-fold symmetry and include the nsp3 protein. Co-expression of SARS-CoV nsp3 and nsp4 induces DMV formation, and elements of nsp3 and nsp4 have been identified that are essential for membrane disruption. I describe a predicted luminal binding interface between nsp3 and nsp4 that is membrane-associated, conserved in SARS-CoV-2 during the COVID-19 pandemic and in diverse coronaviruses, and stable in molecular dynamics simulation. Combined with structure predictions for the full-length nsp4 monomer and cryo-EM data, this suggests a DMV pore model in which nsp4 spans both membranes with nsp3 and nsp4 inserted into the same bilayer. This approach may be able to identify additional protein-protein interactions between coronavirus proteins.

molecular biology↗

bioRxiv2019

Plasmids for independently tunable, low-noise expression of two genes

Some microbiology experiments and biotechnology applications can be improved if it is possible to tune the expression of two different genes at the same time with cell-to-cell variation at or below the level of genes constitutively expressed from the chromosome (the \"extrinsic noise limit\"). This was recently achieved for a single gene by exploiting negative autoregulation by the tetracycline repressor (TetR) and bicistronic gene expression to reduce gene expression noise. We report new plasmids that use the same principles to achieve simultaneous, low-noise expression for two genes. The TetR system was moved to a compatible plasmid backbone, and a system based on the lac repressor (LacI) was found to also exhibit gene expression noise below the extrinsic noise limit. We characterize gene expression mean and noise across the range of induction levels for these plasmids, apply the LacI system to tune expression for single-molecule mRNA detection in two different growth conditions, and show that two plasmids can be co-transformed to independently tune expression of two different genes.

synthetic biology↗

bioRxiv2017

New Cell Fate Potentials and Switching Kinetics Uncovered in a Classic Bistable Genetic Switch

Bistable switches are common gene regulatory motifs directing two mutually exclusive gene expression states, and consequently distinct cell fates. Theoretical studies suggest that the simple circuitry of bistable switches is sufficient to encode more than two cell fates due to the non-equilibrium, heterogeneous cellular environment, allowing a high degree of adaptation and differentiation. However, new cell fates arising from a classic bistable switch without rewiring the circuitry have not been experimentally observed. By developing a new, dual single-molecule gene-expression reporting system in live E. coli cells, we investigated the expression dynamics of two mutually repressing transcription factors, CI and Cro, in the classic genetic switch of bacteriophage {lambda}. We found that in addition to the two expected high-Cro and high-CI production states, there existed two new ones, in which neither CI nor Cro was produced, or both CI and Cro were produced. We constructed the corresponding potential landscape and mapped the transition kinetics between the four production states, providing insight into possible state-switching rates and paths. These findings uncover new cell fate potentials beyond the classical picture of {lambda} switch, and open a new window to explore the genetic and environmental origins of the cell fate decision-making process in gene regulatory networks.

biophysics↗

bioRxiv2017

A plasmid-based Escherichia coli gene expression system with cell-to-cell variation below the extrinsic noise limit

Experiments in synthetic biology and microbiology can benefit from protein expression systems with low cell-to-cell variability (noise) and expression levels precisely tunable across a useful dynamic range. Despite advances in understanding the molecular biology of microbial gene regulation, many experiments employ protein-expression systems exhibiting high noise and nearly all-or-none responses to induction. I present an expression system that incorporates elements known to reduce gene expression noise: negative autoregulation and bicistronic transcription. I show by stochastic simulation that while negative autoregulation can produce a more gradual response to induction, bicistronic expression of a repressor and gene of interest can be necessary to reduce noise below the extrinsic limit. I synthesized a plasmid-based system incorporating these principles and studied its properties in Escherichia coli cells, using flow cytometry and fluorescence microscopy to characterize induction dose-response, induction/repression kinetics and gene expression noise. By varying ribosome binding site strengths, expression levels from 55-- 10,740 molecules/cell were achieved with noise below the extrinsic limit. Individual strains are inducible across a dynamic range greater than 20-fold. Experimental comparison of different regulatory networks confirmed that bicistronic autoregulation reduces noise, and revealed unexpectedly high noise for a conventional expression system with a constitutively expressed transcriptional repressor. I suggest a hybrid, low-noise expression system to increase the dynamic range.

synthetic biology↗