Search bioRxiv⌕ Search

Biology subjects

Turner, S.

Publications and source records attributed to Turner, S..

At least 19 recordsLinked to original sources

A cellulose synthase interactome uncovers BAG proteins as regulators of cellulose synthase homeostasis

Cellulose synthase complexes build the load-bearing cellulose microfibrils of plant cell walls, yet how the abundance of their catalytic CELLULOSE SYNTHASE A (CESA) subunits is maintained remains unclear. Here, we used multi-bait TurboID proximity labelling with ten cellulose-synthesis-associated baits and six subcellular controls to define a high-confidence cellulose synthase neighbourhood. Stringent spatial and recurrence-based filtering yielded a core network of 119 interactions among 44 proteins and identified three members of the conserved Bcl-2-associated athanogene (BAG) family as previously unrecognised regulators of cellulose synthase homeostasis. BAG1-3 associated with primary-wall CESAs in reciprocal proximity-labelling experiments. Arabidopsis bag mutants showed reduced cellulose accumulation, hypersensitivity to cellulose-synthesis inhibitors, and markedly decreased CESA protein abundance without corresponding changes in CESA transcript levels. Loss of BAG function also increased the accumulation of CESA6 in vacuolar compartments. These findings identify BAG proteins as previously unrecognised regulators of cellulose synthase homeostasis and link a conserved proteostasis-associated protein family to plant cell wall biosynthesis. More broadly, the study establishes multi-bait proximity labelling, combined with cell location-specific controls, as a strategy for resolving dynamic protein networks whose components traffic through multiple subcellular compartments.

plant biology↗

NGS-RFA/FRA: A High Throughput Experimental and Computational Pipeline for Selective Mutational Scanning in Parallel

Influenza viruses evade vaccine and infection mediated immunity by accumulating mutations in their hemagglutinin (HA) protein. Predicting this evolution might be possible via selective mutational scanning (SMS) - the generation of many specific mutants of interest from currently circulating viruses and characterizing their escape potential and fitness with high accuracy (Mogling 2016). However, this task is challenging, even when focusing on a reduced set of key HA positions (Koel et al. 2013). Here we describe a high-throughput SMS method to address this challenge. Our approach consists of a three-stage pipeline: (1) a parallel optimized virus rescue process that generates balanced target mutant virus libraries (2) an assay to assess replicative fitness and neutralisation of these variants as a mixture, and (3) a bespoke statistical model to quantify statistically significant differences between these observables. We tested the pipeline on libraries of up to 134 variants finding excellent correlation to classical hemagglutination inhibition (HI) and plaque growth assays used to assess antigenic phenotype and replicative fitness respectively, as well as remarkable repeatability overall. Notably, the method reduces the timeline required to carry out such assessments with classical methods from about a year to several weeks. By enabling rapid and efficient characterization of influenza virus variants, this approach has the potential to greatly enhance surveillance efforts, transforming reactive monitoring into proactive forecasting.

evolutionary biology↗

Dynamic winter microbial communities shape nitrogen cycling potential in Arctic tundra soils

Arctic winters are long and cold and have traditionally been considered a period of limited biological activity. However, the seasonal dynamics of microbial community composition and functional potential during winter remain poorly understood. Here, we investigated taxonomic (bacteria, fungi, archaea) and functional (fungal guilds and nitrogen cycling genes) dynamics throughout a full year at two Arctic tundra heath sites with contrasting snow regimes. A steep drop in microbial abundances in early to mid-winter, likely linked to freeze-thaw events, coincided with shifts in soil pH and elevated community turnover. Saprotrophic and root-associated fungi were more abundant in the cold-season, while inorganic nitrogen cycling groups were more abundant in summer and declined toward winter despite high bacterial abundance. This indicates sustained organic matter cycling during the winter and expanded inorganic nitrogen cycling in the summer. Functional gene ratios further suggested a higher early-winter nitrogen loss potential via nitrous oxide and greater late-winter nitrogen retention. Site-specific differences in snow regime altered the timing and magnitude of these dynamics. Together, our results demonstrate that winter represents a critical and dynamic period for microbial community restructuring with important implications for nitrogen turnover in Arctic tundra soils.

microbiology↗

Emergence and antigenic characterisation of influenza A(H3N2) viruses with hemagglutinin substitutions N158K and K189R during the 2024/25 influenza season

BackgroundSeasonal human influenza viruses can escape from antibody-mediated neutralization when amino acid changes occur in the hemagglutinin protein. Routine surveillance identified circulation of an A(H3N2) virus variant in the Netherlands with amino acid substitutions at hemagglutinin positions 158 and 189. These amino acid positions were previously responsible for antigenic change of influenza A(H3N2) viruses and potentially lead to escape of this variant from vaccine-mediated immunity. AimTo characterize the emergence and antigenic properties of N158K and K189R double substitution virus variants. MethodsWe analyzed the geographical and temporal dynamics of the double-substitution variant using a phylogeographic approach and used hemagglutination inhibition assays and antigenic cartography methods to map its antigenic properties. ResultsA(H3N2) viruses carrying K189R were first detected in Guatemala in June 2024, before subsequently gaining the N158K substitution, which was intially detected in Colombia in November 2024, followed by detection in the Netherlands in December 2024. However, detections within Europe remained almost entirely confined to the Netherlands. The proportion of viruses carrying the N158K and K189R substitutions increased to 16% - 24% per collection week of sequenced Dutch viruses during the peak of the epidemic of the 2024-2025 respiratory season. Antigenic characterization of viruses with N158K and K189R substitutions indicated that these are antigenically distinct from the A(H3N2) components of 2025-2026 Northern Hemisphere vaccines, showing 8-192-fold reduction in hemagglutination inhibition titers with antisera against the vaccine strain compared to antisera against the homologous virus. ConclusionsInfluenza A(H3N2) viruses with N158K and K189R escaped recognition by antibodies raised against the 2024-2025 and 2025/2026 Northern Hemipshere vaccine strains in hemagglutination inhibition assays. These variants circulated widely in the Netherlands during the 2024-2025 influenza season, raising concerns about reduced vaccine-mediated protection if such variants would spread more broadly during 2025-2026 Northern Hemipshere season.

microbiology↗

Structures of muscle-type nicotinic acetylcholine receptor with α-conotoxins reveal determinants of receptor-subtype specificity

-Conotoxins (-CTX) are disulfide-rich peptide antagonists with exceptional potency and subtype selectivity across nicotinic acetylcholine receptors (nAChRs), making them promising leads for therapeutic development. The molecular basis of their specificity has remained unresolved for decades, limiting rational drug design. Here, we present the first high-resolution cryo-EM structures of full-length muscle-type nAChR bound to three distinct -CTXs, revealing their precise binding modes at both acetylcholine binding sites. Our integrated approach, combining structural biology, pharmacological profiling, and computational hydration mapping, uncovers conserved pharmacophore features, water-mediated interactions, and subunit-specific determinants that govern potency and selectivity. These findings provide a long-sought molecular framework for -conotoxin recognition and inhibition, addressing a critical gap required to realise the full potential of conotoxins as lead compounds in drug discovery.

molecular biology↗

Ligand-responsive groove remodelling in human and macaque CD1d reveals a conserved MHC-like gating mechanism

CD1d presents lipid antigens to invariant natural killer T (iNKT) cells. We determined a high-resolution crystal structure of human CD1d bound to -galactosylceramide (-GalCer) at 1.76 [A], enabling detailed investigation of ligand-sensitive conformational flexibility at Phe84, a conserved aromatic residue that caps the F' groove. Electron density at Phe84 revealed multiple side-chain conformations, suggestive of ligand-induced plasticity. Molecular dynamics simulations indicated that the canonical rotamer is energetically favoured in the absence of a stabilising groove-occupying ligand. To assess conservation of this putative gating mechanism, we solved the first CD1d structure from a non-human primate, rhesus macaque CD1d--GalCer, at 1.83 [A] resolution. In contrast to the human complex, Phe84 in macaque CD1d adopted a fixed conformation. As this aromatic residue is conserved across CD1 isoforms and CD1d-expressing species, and mirrors gating residues in MHC class I that regulate peptide accommodation, our findings support a shared evolutionary strategy for managing antigen diversity. These data provide critical insight into the mechanisms of antigen presentation by CD1 molecules. Significance StatementThis study reveals that Phe84, a conserved aromatic residue in CD1d, may act as a ligand-responsive gate modulating F' groove accessibility. This conditional plasticity could enable binding of structurally diverse lipid antigens and appears conserved across CD1 isoforms. The mechanism parallels class I MHC, where gating residues regulate peptide presentation, suggesting an evolutionarily shared strategy for accommodating antigen diversity.

immunology↗

Persistent CD4+ T cell functional deficits during recovery from prolonged symptomatic SARS-CoV-2 infection

Symptoms of acute SARS-CoV-2 infection often resolve quickly but are sometimes associated with persistent immune dysfunction. The factors that predispose individuals to compromised immune function have not been well defined. We investigated CD4+ T cell phenotype and function in a small cohort of individuals who recovered from mild to moderate SARS-CoV-2 infection without hospitalization and were divided into short or prolonged symptom duration groups. Five individuals with prolonged symptom duration showed marked downregulation of CD4 on CD3+CD8- T cells (CD4low group) and a poor response to TCR stimulation with the superantigen Staphylococcal enterotoxin B (SEB), as shown by weak upregulation of the activation markers CD134 and CD69. CD4 surface intensities recovered to normal levels in four of these individuals within 3-12 months. Selected cytokines (IL-1RA, IL-7, and VEGF) were elevated in individuals with low CD4, but plasma levels of anti-S1 IgG did not correlate with CD4 defects. Bulk RNA sequencing of unstimulated and SEB-treated CD3+CD8- T cells revealed a >50% reduction in the number of differentially expressed genes in the CD4low group compared to the same individuals after CD4 levels were recovered and a healthy control group. Upstream regulator analysis of differentially expressed genes in unstimulated CD4low cells suggested a response to IFN, while SEB-stimulated CD4low cells showed reduced functionality of IL-2, CD28, and SATB1 regulated pathways. In summary, prolonged symptomatic recovery from SARS-CoV-2 infection was associated with a global CD4+ T cell response defect, defined by low surface CD4 expression, evidence of IFN signaling, and defective T cell activation.

immunology↗

In search of nonlipogenic ABCA1 inducers (NLAI): precision coregulator TR-FRET identifies diverse signatures for LXR ligands

APOE4, the major genetic risk factor for Alzheimers disease (AD), and ABCA1, required for lipidation of APOE are gene products of the liver X receptor (LXR) receptor. LXR agonists have been validated in animal models as therapeutics for AD, atherosclerosis, and many other diseases. Clinical progress has been thwarted by unwanted hepatic lipogenesis. Structurally diverse LXR ligands were profiled in coregulator TR-FRET (CRT) assays analyzing ligand-induced coactivator recruitment, coactivator selectivity, corepressor dissociation, and LXR isoform selectivity. A multiplex CRT assay was developed to measure synchronous ligand-induced displacement of corepressor by coactivator. Potency for coactivator recruitment to LXR{beta} correlated with induction of ABCA1 in human astrocytoma cells. Correlation with lipogenic activation of sterol response element (SRE) in hepatocarcinoma cells, was more complex. CRT response was diverse revealing ligands with theoretical full agonist, partial agonist, antagonist, and inverse agonist, and other signatures within the same chemical series, suggesting the scope for precision CRT to guide nonlipogenic LXR agonist design.

pharmacology and toxicology↗

Development of ultrasound molecular contrast agents by site-specific conjugation of gas vesicles to antibodies

Ultrasound technology is a powerful tool for medical imaging and diagnosis especially when used in conjunction with a contrast agent to target proteins of interest. However, current ultrasound contrast agents are lacking the combination of specificity, stability, and size optimization. In this study we introduce and confirm the feasibility of using nanometer sized gas vesicles (GV) chemically click conjugated to antibodies (mAb) to make the first site-specific mAb-GV conjugates as a durable cancer cell targeting ultrasound molecular contrast agents. Protein expression of human epidermal growth factor receptor 2 (HER2) and programmed death-ligand 1 (PD-L1) were tested along with the antibody targeting efficiency using cancer cell lines and primary cells isolated from tumor bearing mice. The mAb conjugation was optimized to a site-specific method using the mAb glycans and tested with the addition of a clinically used mAb to target trophoblast cell surface antigen 2 (Trop-2). The developed contrast agents utilize the stability of GVs and the specificity of antibodies to label cancer biomarkers in various types of tumors for ultrasound imaging.

bioengineering↗

Signal Detection of Point Targets Using Eigen-Images for Super-Resolution Ultrasound Imaging and Gas Vesicle Localization

Accurate signal detection of ultrasound contrast agents, such as microbubble (MB) and gas vesicle (GV), in the presence of clutter and noise is essential to increase image quality in super-resolution ultrasound imaging (SRUS) and achieve precise GV localization. We developed and evaluated an eigen-image based signal detection method using singular value decomposition (SVD) and changepoint detection to automatically segment the data that are closely related to physical events such as MB flow and GV collapse. Eigen-image based method was compared with the elbow point and hard thresholding method when selecting MB signals after SVD of raw data, acquired from phantom and in vivo experiments. Image reconstructed by eigen-image based method was also compared with unregistered difference image for GV localization when moving GVs in a phantom were collapsed by ultrafast plane waves. The eigen-image based MB signal detection method resulted in higher vessel density (VD) visualization in both the phantom and in vivo mouse tumor. It also achieved increased signal-to-noise ratio (SNR) in both cases. Moreover, this method localized moving GVs more efficiently than the difference imaging method, without requiring pixel registration based on landmarks. The eigenimage based method offers a reliable and automated approach to MB and GV signal detection for both SRUS and point target localization. This approach is a valuable tool for medical imaging providing high-quality vessel images along with accurate locations of moving ultrasound contrast agents, which can be potentially translatable to clinical diagnosis and pre-clinical research. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/662077v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@d03b0corg.highwire.dtl.DTLVardef@d4b318org.highwire.dtl.DTLVardef@3a2894org.highwire.dtl.DTLVardef@3e2962_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIAn approach to efficiently detect point targets including microbubbles and gas vesicles is developed using eigenimages that describe the changes of point targets over time for super-resolution ultrasound imaging and gas vesicle localization. C_LIO_LISignals from point targets were automatically identified from clutter and noise by the changepoint detection method without prior Information. C_LIO_LIThis approach enhances microvasculature visualization of tumors in mice and improves the localization of gas vesicles in a phantom. C_LI

bioengineering↗

Atom-level mechanism of tapasin-independent peptide editing by Major Histocompatibility Complex class I molecules

Peptide binding to major histocompatibility complex class I molecules (MHC-I) and their presentation to cytotoxic immune cells is a keystone of the adaptive immune system. The selection of MHC-I bound peptides is facilitated by the chaperone tapasin, which allows MHC-I to iteratively sample peptides until they are loaded with optimal binding peptides, known as peptide editing. However, some MHC-I allotypes can select high affinity binding peptides independently of tapasin, and the molecular mechanism(s) for such peptide editing are unknown. Here, we used enhanced sampling molecular dynamics simulations of peptide-deficient MHC-I to investigate tapasin-independent peptide editing. Our simulations revealed transient disruption of hydrogen bonds between MHC-I and the peptide backbone could allow for peptide editing, a process we term "active displacement". Destabilisation of interactions with the peptide backbone, necessitates sequence-specific sidechain interactions to maintain peptide binding. Our active displacement model predicts surface expression levels for multiple MHC-I allotypes and accounts for the presentation of an immunogenic mutant KRAS-G12D neoepitope by HLA-C*08:02, but not by closely related HLA-C*05:01. Together our data provide a molecular mechanism for tapasin-independent MHC-I peptide editing, influencing the surface immunopeptidome and anti-tumour immunity. Significance StatementMajor histocompatibility complex class I molecules (MHC-I) bind and present peptides to specialised killer cells of the immune system. These immune cells can unleash their cytotoxic effector functions if they recognise the peptide-MHC-I complex. Which peptides are presented by MHC-I is therefore highly important. Peptide selection is usually assisted by the tapasin protein, although some MHC-I molecules can select peptides independently of tapasin, but it is not known how this occurs. Here, we provide an atomistic description of the tapasin-independent peptide selection mechanism. Our mechanism applies to multiple MHC-I allotypes and illustrates how an immunogenic peptide is presented by one MHC-I molecule, but not by another closely related molecule. This new insight provides a rational basis for therapeutic treatments.

immunology↗

ANDROGENS PROTECT ILC2S FROM FUNCTIONAL SUPPRESSION DURING INFLUENZA VIRUS INFECTION

Biological sex differences in morbidity upon influenza A virus (IAV) infection are linked to stronger IFN-centered immune responses in females, yet the regulatory role of sex hormone receptors in immune cell subsets is incompletely understood. Lung-resident group 2 innate lymphoid cells (ILC2s) express notably high levels of androgen receptors (AR). In IAV infection, ILC2s produce type 2 cytokines and facilitate tissue repair, but they also may be functionally suppressed by type 1 cytokines. Here we report sex differences in the magnitude of lung ILC2 functional suppression at the peak of sublethal IAV infection. Relative to males, ILC2s in females show attenuated proliferation, decreased propensity for IL-5 and amphiregulin production and reduced expression of GATA3 and IL-33R, features supported by divergent transcriptomes. Equivalent inflammatory cytokine levels and viral load suggested sex differences in ILC2-intrinsic factors. Indeed, naive female ILC2s showed elevated IFNGR expression and higher phospho-STAT1 levels following IFN{gamma} stimulation, and lymphocyte-restricted STAT1 deficiency reversed IAV-induced suppression of female ILC2s. Lymphocyte-restricted AR deficiency or loss of androgens via orchiectomy led to increased IFNGR expression and suppression of male ILC2s. These data support the hypothesis that intrinsic AR activity regulates IFNGR-STAT1 signaling pathways to preserve canonical ILC2 function in males during IAV infection.

immunology↗

Chromosomal rearrangements and instability caused by the LINE-1 retrotransposon

LINE-1 (L1) retrotransposition is widespread in many cancers, especially those with a high burden of chromosomal rearrangements. However, whether and to what degree L1 activity directly impacts genome integrity is unclear. Here, we apply whole-genome sequencing to experimental models of L1 expression to comprehensively define the spectrum of genomic changes caused by L1. Combining the analyses of experimental models of L1 induction and of cancer genomes, we demonstrate that L1 retrotransposition can directly generate reciprocal translocations, genomic DNA inversions, and foldback rearrangements resulting from illegitimate recombination of double-strand DNA ends generated by L1-encoded ORF2p. We further show that L1-induced rearrangements can produce unstable chromosomes that fuel the acquisition of complex rearrangements, large segmental copy-number alterations, and genetic heterogeneity through breakage-fusion bridge cycles or DNA fragmentation. Together, these findings suggest L1 as a potent mutagenic force capable of driving genome evolution in cancers.

genomics↗

Cross-feeding options define eco-evolutionary dynamics of deep oligotrophic groundwater microbiome

Deep groundwaters populated by diverse and active microbes are among the most energy and nutrient-limited ecosystems. Characteristics of this ecosystem including nutrient and dispersal limitations, low cell densities, and episodic growth strategy interactively underpin the so far elusive eco-evolutionary dynamics of its microbiome. Here we applied a modular metabolic analyses on genome-resolved reconstructed community of disconnected deep groundwaters in the Fennoscandian Shield. In the community of deeper groundwaters despite their highly oligotrophic nature, lineages with larger genomes maintained larger populations which we hypothesize to be connected with their limited cross-feeding options. Thus providing an extension on the streamlining theory emphasizing the importance of ecological interactions in genome evolution which is further supported by the observed decrease in abundance of lineages with known metabolic dependencies, such as Patescibacteria and DPANN, with depth. The modular metabolic analyses showed that remarkably common niches based on same cross-feeding interactions are also available in different groundwaters, in addition to common niches for primary production. While these shared niches are critical for community assembly in this ecosystem, in different boreholes different lineages populated them. Our results provided new insights into the role of metabolic cross-feeding in genome evolution and community assembly of deep groundwater microbiome.

microbiology↗

Reduced beta-hydroxybutyrate disposal after ketogenic diet feeding in mice

The ketogenic diet (KD) has garnered considerable attention due to its potential benefits in weight loss, health improvement, and performance enhancement. However, the phenotypic responses to KD vary widely between individuals. Skeletal muscle is a major contributor to ketone body (KB) catabolism, however, the regulation of ketolysis is not well understood. In this study, we evaluated how mTORC1 activation and a ketogenic diet modify ketone body disposal in muscle Tsc1 knockout (KO) mice, inbred A/J mice, and Diversity Outbred (DO) mice. Muscle Tsc1 KO mice demonstrated enhanced ketone body clearance. Contrary to expectations, KD feeding in A/J mice did not improve KB disposal, and in most strains disposal was reduced. Transcriptional analysis revealed reduced expression of important ketolytic genes in KD-fed A/J mice, suggesting impaired KB catabolism. Diversity Outbred (DO) mice displayed variable responses to KD, with most mice showing worsened KB disposal. Exploratory analysis on these data suggest potential correlations between KB disposal and cholesterol levels as well as weight gain on a KD. Our findings suggest that ketone body disposal may be regulated by both nutritional and genetic factors and these relationships may help explain interindividual variability in responses to ketogenic diets.

physiology↗

Managed honey bee colony losses and causes during the active beekeeping season 2022/2023 in nine Sub-Saharan African countries

This study reports for the first-time managed honey bee colony loss rates and associated risk factors during the active beekeeping season 2022/2023 in nine Sub-Saharan African countries, namely Kenya, Ethiopia, Rwanda, Uganda, Benin, Liberia, Nigeria, Cameroon and Democratic Republic of the Congo. The sustainability of bee swarm catches as a main honey bee colony source tool for operation expansion by African beekeepers was also evaluated in Kenya and Ethiopia. In this survey, the 1,786 interviewed beekeepers across these countries collectively managing 41,761 colonies registered an overall loss rate of 21.3%, which varied significantly among countries (from 9.7 to 45.3%) and hive types (from 10.6% in hives with movable frames to 17.9% in frameless hives). The perceived causes of losses in order of significance were issues beyond the beekeepers control (mainly theft, drought, and bushfire), absconding and pests (mainly wax moth, small and large hive beetles, ants and Varroa destructor mite), but this pattern varied greatly across countries. Among the management practices and characteristics, migratory operations and professional beekeepers experienced lower losses than stationary operations and semi-professionals and hobby beekeepers. Insights into the number of bee swarms caught revealed significant decreases in swarm availability over the past three years in Kenya. The opposite situation was observed in some regions of Ethiopia. These trends require further investigation. Overall, this comprehensive survey sheds light on the complexities and challenges beekeepers faced in Sub-Saharan Africa, pointing to the need for targeted interventions and sustained research to support the resilience and growth of the apicultural sector.

zoology↗

A sequence- and structure-based characterization of microbial enzymes identifies P. stutzeri as a plastic-degrading species

Plastic waste has accumulated rapidly in the past century and is now found throughout every ecosystem on Earth. Its ubiquitous presence means that plastic is routinely ingested by countless organisms, with potential negative consequences for organismal health. New solutions are urgently needed to combat plastic pollution. Among the many strategies required to curb the plastic pollution crisis, the bioremediation of plastic via enzymatic activity of microbial species represents a promising approach. Diverse microbes harbor enzymes capable of degrading plastic polymers and utilizing the polymers as a carbon source. Herein, we characterize the landscape of microbial protein-coding sequences with potential plastic degrading capability. Using the two enzyme systems of PETase and MHETase as a guide, we combined sequence motif analysis, phylogenetic inference, and machine learning-guided 3D protein structure prediction to pinpoint potential plastic-degrading enzymes. Our analysis platform identified hundreds of enzymes from diverse microbial taxa with similarity to known PETases, and far fewer enzymes with similarity to known MHETases. Phylogenetic reconstruction revealed that the plastic degrading enzymes formed distinct clades from the sequences of ancestral enzymes. Among the potential candidate sequences, we pinpointed both a PETase-like and MHETase-like enzyme within the bacterium Pseudomonas stutzeri. Using plate clearing assays, we demonstrated that P. stutzeri is capable of degrading both polyurethane (Impranil(R)) and polycaprolactone (PCL). Pseudomonas stutzeri also grew on carbon-free agar supplemented with polystyrene, suggesting this organism can utilize synthetic polymers as a carbon source. Overall, our integrated bioinformatics and experimental approach provides a rapid and low-cost solution to identify and test novel polymer-degrading enzymes for use in the development of plastic bioremediation technologies.

microbiology↗

Global variation in prior exposure shapes antibody neutralization profiles of SARS-CoV-2 variants up to BA.2.86

The highly mutated SARS-CoV-2 variant, BA.2.86, and its descendants are now the most frequently sequenced variants of SARS-CoV-2. We analyze antibody neutralization data from eight laboratories from the UK, USA, Denmark, and China, including two datasets assessing the effect of XBB.1.5 vaccines, to determine the effect of infection and vaccination history on neutralization of variants up to and including BA.2.86, and produce antibody landscapes to describe these neutralization profiles. We find evidence for lower levels of immune imprinting on pre-Omicron variants in sera collected from Denmark and China, which may be explained by lower levels of circulation of the ancestral variant in these countries, and the use of an inactivated virus vaccine in China.

immunology↗