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Graham, C.

Publications and source records attributed to Graham, C..

At least 19 recordsLinked to original sources

A novel genetically distinct Amdoparvovirus in Sorex araneus in the United Kingdom highlights an unexplored ancestral link

Amdoparvoviruses have historically been documented almost exclusively in carnivores, with recent detections in bats. However, endogenous viral elements in rodent genomes suggest a more ancient and taxonomically broader evolutionary history. Despite this, small mammals have never been systematically surveyed for extant amdoparvovirus infections. In this study, we used whole genome sequencing to screen four different shrew species and wild American mink in the UK, which may act as a reservoir host for amdoparvoviruses. We identified a highly divergent amdoparvovirus in native common shrews (Sorex araneus) from northern England, tentatively named Shrew parvovirus 1(SP 1). Classical amdoparvovirus sequences were also detected in wild American mink (Neogale vison), confirming the presence of known amdoparvovirus strains in UK mustelids. Phylogenetic analysis revealed that the shrew virus, SP 1, forms a distinct clade, suggesting ancient divergence or long-term cryptic circulation in small mammal reservoirs. These findings fundamentally challenge the hypothesis that amdoparvoviruses are carnivore-restricted pathogens and underscore the importance of systematic wildlife surveillance for understanding viral host range evolution and assessing spillover risks.

evolutionary biology↗

Enhancing Lipid Detection and Spatial Accuracy in Carotid Plaques Using Mass Spectrometry Imaging Techniques

Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a powerful technique for studying lipid distribution in carotid plaques, key to understanding atherosclerosis. This study aimed to improve sample preparation for MALDI-MSI-based spatial lipidomics of carotid plaques by improving both matrix application and tissue handling. Human carotid plaques were collected from endarterectomy patients with ethical approval and sectioned at 10 {micro}m thickness for MALDI-MSI. We compared eight sample preparation methods, including hydroxypropyl methylcellulose-polyvinylpyrrolidone (HPMC-PVP) embedding media and Cryofilm-type IMS(R) to provide support and maintain tissue structural integrity during sectioning. Methods were assessed for signal intensity, lipid diffusion, lipid coverage, tissue morphology, and image co-registration which each criterion scored from 1-3. Cryofilm-based methods scored highest for preserving tissue morphology and minimising folding artifacts (2.9-3.0) but were limited in co-registration (2.0) due to reliance on adjacent sections. Sublimation methods generally produced greater lipid coverage with reduced lateral diffusion, while automated sprayer methods scored higher in signal intensity/sensitivity (3.0) but had increased lipid delocalisation, particularly for highly hydrophobic species such as triacylglycerols and sterols. The results highlight clear trade-offs between tissue structural preservation, lipid detection sensitivity, and spatial integrity in MALDI-MSI. Because spatial integrity cannot be compromised for imaging lipids in carotid atherosclerotic plaques, Cryofilm combined with sublimation offers a clear advantage. This work strengthens MALDI-MSI workflows enabling more precise spatial mapping and deeper biological interpretation of atherosclerotic lipid distributions.

molecular biology↗

Hypercholesterolemia Risk Prediction from Serum Metabolomics Using a Metabolic Pathway-Integrated Graph Neural Network

In this paper, we presents a new machine learning framework called the Metabolic Pathway Graph Neural Network (MP-GNN), aimed at predicting hypercholesterolemia risk based on serum metabolomics data. Many existing analytical frameworks for analyzing metabolites in clinical applications overlook the complex biochemical relationships that exist among metabolites. MP-GNN explicitly takes advantage of existing knowledge about metabolic pathways by incorporating that information into graph templates where metabolites are represented as nodes and metabolic pathway interactions between metabolites are represented as edges. A comparative analysis of MP-GNN was conducted with a large-scale study of population metabolomics against several conventional machine learning and several state-of-the-art machine learning methods. The results of the simulation indicated that MP-GNN was able to provide for highly accurate prediction of risk, and importantly, provide interpretability that was biologically meaningful based on findings in the literature. Importantly, the analysis revealed several key metabolites, and also several biological metabolic pathways that were found to be significant related to prediction, which were consistent with findings in biological studies. The findings support the potential of MP-GNN to leverage prior biological knowledge to enhance predictive performance and expand our ability to gain insight into complex diseases.

bioengineering↗

Influence of plant genotype on nodule microbiome composition and function in seasonal yellow pea varieties

Background and AimsLegume root nodules host symbiotic rhizobia essential for nitrogen fixation but also harbor diverse non-rhizobial taxa that remain poorly characterized. Yellow pea (Pisum sativum) cultivars adapted to distinct seasonal growth (spring and winter) offer an opportunity to explore whether host genotype influences nodule microbiome composition and function. This study investigates the taxonomic and functional profiles of nodule-associated microbial communities in seasonal yellow pea varieties. MethodsA field experiment with 6 field pea cultivars (spring and winter types) was conducted in South Dakota. Surface-sterilized root nodules were subjected to full-length 16S rRNA gene sequencing using Oxford Nanopore technology. Reads were quality filtered, organellar sequences removed, and taxonomic classification performed with the EMU pipeline. Microbial diversity, community structure, and core taxa were analyzed using R, with predicted functions inferred by FAPROTAX. ResultsThe nodule microbiome was dominated by Rhizobium, accounting for up to 98% of classified reads. After excluding Rhizobium, non-rhizobial diversity revealed a conserved core microbiome shared across cultivars, including cyanobacteria with potential phototrophic and diazotrophic traits. Minor seasonal differences were observed, with winter cultivars exhibiting higher evenness and specific associations. ConclusionYellow pea nodules harbor a stable, cyanobacteria-enriched core microbiome, largely consistent across seasonal cultivars. Season-specific microbial patterns suggest potential host-genotype influences, warranting further validation.

plant biology↗

Spatial Biodiversity Indicators and a Composite Index for Conservation Prioritization in Switzerland

Spatially explicit indicators that quantify to which extent landscapes support biodiversity are essential for guiding evidence-based conservation planning. Here, we present a 25-meter resolution dataset for Switzerland, encompassing three key biodiversity indicators-- Complementarity, Extinction Risk, and Ecological Connectivity--developed across 17 major taxonomic groups, using habitat suitability maps for approximately 7,500 individual species. These three indicators capture (1) the contribution of landscapes to taxonomic, functional, and phylogenetic diversity, (2) species vulnerability to extinction and (3) ecological connectivity. Outputs are provided for both terrestrial and aquatic realms, including versions adjusted for species richness, and integrated into composite indices. In total, 272 spatial layers were produced and made openly accessible. Relationships among the three indicators were analyzed to assess their distinct contributions, and expert-based validations were performed to evaluate their ecological plausibility and relevance for conservation applications. This dataset provides a robust foundation to support spatial planning and conservation decision-making in Switzerland and can be used as a blueprint for analogue integration in other countries.

ecology↗

Antibody escape drives emergence of diverse spike haplotypes resembling variants of concern in persistent SARS-CoV-2 infections

Evolution of SARS-CoV-2 in long-term persistent infections is hypothesised to be a major source of variants of concern (VOC). However, determination of viral subpopulations by linkage of intra-host variants into haplotypes has been limited by commonly used genomic sequencing techniques. We developed a sequencing and analysis methods for identifying full-length intra-host spike haplotypes and analysed their diversification over the course of persistent infections in individuals with inherited or acquired immunodeficiencies. Mutations frequently emerged in positions found in VOCs that confer escape from neutralising antibodies, while selection analyses showed strong evidence of positive selection and identified specific amino acid positions undergoing selection. In a single chronic infection lasting more than 500 days from the first wave of the pandemic, we detailed the evolution of spike as it gradually acquired mechanisms to evade both autologous and heterologous neutralising antibodies, redolent of Omicron variants. This provides one of the strongest pieces of evidence for persistent infections being the source of immune-evasive variants with accelerated evolution, underscoring their impact on the evolutionary trajectory of SARS-CoV-2.

microbiology↗

Spike-specific IgG4 generated post BNT162b2 mRNA vaccination is inhibitory when directly competing with functional IgG subclasses

The rapid development of vaccines against SARS-CoV-2 during the COVID-19 pandemic proved vital in controlling viral spread and reducing mortality and morbidity. Both neutralising activity and effector function activity of Spike-specific antibodies have been shown to be important for their protective and therapeutic activity. However, several recent studies have reported that vaccination with mRNA based COVID-19 vaccines can lead to elevated levels of Spike-specific IgG4, an isotype which is often considered anti-inflammatory due to its reduced binding to Fc{gamma} receptors on immune cells. Here we show that the level of Spike-specific IgG4 produced following BNT162b2 vaccination is impacted by the interval between and frequency of vaccines boosts, prior SARS-CoV-2 infection (hybrid immunity), breakthrough infection and bivalent vaccine boosters. Despite the increase in Spike-specific IgG4 between the 2nd and 3rd BNT162b2 vaccine dose, neutralisation, ADCD and ADCP activity all increased. Through expression of SARS-CoV-2 monoclonal antibodies cloned as IgG1, IgG2, IgG3 and IgG4, we demonstrated that whilst Spike-specific IgG4 had reduced effector function activity, including ADCC, ADCD and ADCP, IgG4 was only inhibitory when directly competing with functional IgG subclasses binding to an overlapping epitope. In the context of polyclonal plasma, ADCC and ADCD activity could not be depleted by addition of high concentrations of a Spike-specific IgG4 mAb cocktail suggesting the non-stimulatory effect of Spike-specific IgG4 may be hidden in more complex scenarios, such as polyclonal mixes in serum.

immunology↗

Development of conditional-siRNA programmable riboswitch for targeting adverse cardiac remodeling

Heart Failure (HF) remains a global epidemic and a significant healthcare burden, with an unmet need for novel therapies to target the preceding pathological hypertrophy in vulnerable patients. Here we report the development of novel conditional-siRNA (Cond- siRNA) constructs that are selectively activated by disease-specific RNA biomarkers to enable cell-specific inhibition of a target disease-causing RNA. We designed a Cond- siRNA that can be activated by nppa mRNA, upregulated specifically in CMs under pathological stress, to silence the key pro-hypertrophic gene calcineurin by the effector siRNA. In cellular models including neonatal rat ventricular myocyte (NRVM) and rat cardiomyocyte cell-line (H9C2), Cond-siRNA exhibited low baseline activity in the absence of the disease biomarker but achieved targeted calcineurin silencing upon nppa mRNA induction by phenylephrine (PE)-induced stress in a two-dimensional (2D) cell culture system and pressure overload in three-dimensional (3D) heart-on a chip system. NRVM transfection with the Cond-siRNA resulted in a decreased expression of calcineurin mRNA specifically after PE or pressure-overload treatment, but not after vehicle treatment, proving nppa mRNA-specific activation of the effector siRNA against calcineurin. Specificity was confirmed as Cond-siRNA did not significantly silence calcineurin in cardiac fibroblasts and T cells, lacking nppa expression. Reduced calcineurin protein levels and NFATc1 nuclear translocation correlated with decreased NRVM hypertrophy after PE treatment, confirming Cond-siRNAs efficacy. This study offers proof-of-concept for Cond-siRNA as a targeted therapy to mitigate hypertrophic progression, paving the way for novel HF treatments. One sentence summaryConditional-siRNA targeting adverse cardiac remodeling GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/633434v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1b6532borg.highwire.dtl.DTLVardef@10e3836org.highwire.dtl.DTLVardef@8c839eorg.highwire.dtl.DTLVardef@1152883_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

Microenvironment Shapes Cell State, Plasticity, and Heterogeneity of Small Cell Lung Cancer

Small-cell lung cancer (SCLC) is the most fatal form of lung cancer. Intra-tumoral heterogeneity, marked by neuroendocrine (NE) and non-neuroendocrine (non-NE) cell states, defines SCLC, but the drivers of SCLC plasticity are poorly understood. To map the landscape of SCLC tumor microenvironment (TME), we apply spatially resolved transcriptomics and quantitative mass spectrometry-based proteomics to metastatic SCLC tumors obtained via rapid autopsy. The phenotype and overall composition of non-malignant cells in the tumor microenvironment (TME) exhibits substantial variability, closely mirroring the tumor phenotype, suggesting TME-driven reprogramming of NE cell states. We identify cancer-associated fibroblasts (CAF) as a crucial element of SCLC TME heterogeneity, contributing to immune exclusion, and predicting exceptionally poor prognosis. Together, our work provides a comprehensive map of SCLC tumor and TME ecosystems, emphasizing their pivotal role in SCLCs adaptable nature, opening possibilities for re-programming the intercellular communications that shape SCLC tumor states.

cancer biology↗

Broad and potent neutralizing mAbs are elicited in vaccinated individuals following Delta/BA.1 breakthrough infection

Despite the success of COVID-19 vaccines in preventing infection and/or severe disease, with the emergence of SARS-CoV-2 variants of concern (VOC) which encode mutations in Spike, and the waning of vaccine induced immunity, there has been an increase in SARS-CoV-2 infections in vaccinated individuals which leads to increased serum neutralization breadth. However, how exposure to a heterologous Spike broadens the neutralizing response at the monoclonal antibody (mAb) level is not fully understood. Through isolation of 119 mAbs from three individuals receiving two-doses of BNT162b2 vaccine before becoming delta or omicron/BA.1-infected, we show that breadth arises from re-activation and maturation of B cells generated through previous COVID-19 vaccination rather than a de novo response specific to the VOC Spike. Isolated mAbs frequently show reduced neutralization of current circulating variants including BA.2.75.2, XBB, XBB.1.5 and BQ.1.1 confirming continuous selective pressure on Spike to evolve and evade neutralization. However, isolation of mAbs that display effective cross-neutralization against all variants indicate the presence of conserved epitopes on RBD and a lesser extent NTD. These findings have implications for selection of Spike antigens for next-generation COVID-19 vaccines.

immunology↗

Novel integrated computational AMP discovery approaches highlight diversity in the helminth AMP repertoire

Antimicrobial Peptides (AMPs) are immune effectors that are key components of the invertebrate innate immune system providing protection against pathogenic microbes. Parasitic helminths share complex interactions with their hosts and closely associated microbiota that are likely regulated by a diverse portfolio of antimicrobial immune effectors including AMPs. Knowledge of helminth AMPs has largely been derived from nematodes, whereas the flatworm AMP repertoire has not been described. This study highlights limitations in the homology-based approaches, used to identify putative nematode AMPs, for the characterisation of flatworm AMPs, and reveals that innovative algorithmic AMP prediction approaches provide an alternative strategy for novel helminth AMP discovery. The data presented here: (i) reveal that flatworms do not encode traditional lophotrochozoan AMP groups (Big Defensin, CS{beta} peptides and Myticalin); (ii) describe a unique integrated computational pipeline for the discovery of novel helminth AMPs; (iii) reveal >16,000 putative AMP-like peptides across 127 helminth species; (iv) highlight that cysteine-rich peptides dominate helminth AMP-like peptide profiles; (v) uncover eight novel helminth AMP-like peptides with diverse antibacterial activities, and (vi) demonstrate the detection of AMP-like peptides from helminth biofluids. These data represent a significant advance in our understanding of the putative helminth AMP repertoire and underscore a potential untapped source of antimicrobial diversity which may provide opportunities for the discovery of novel antimicrobials. Further, unravelling the role of endogenous worm-derived antimicrobials and their potential to influence host-worm-microbiome interactions may be exploited for the development of unique helminth control approaches. Author summaryInvertebrate antimicrobial peptides (AMPs) form the first line of defence against pathogenic microbes. Helminths are worms (flatworm, roundworm) that live in microbe-rich environments throughout their lifecycles however little is known about how they protect themselves against pathogens or how they interact with microbes. Understanding AMP profiles in helminths, their importance to helminth biology, and how they shape microbial communities could reveal novel approaches for anthelmintic and/or antimicrobial development. In this study we describe a novel integrated homology- and computational-based pipeline for the discovery of helminth AMPs. This approach revealed that, whilst flatworms do not possess traditional AMPs, they have a repertoire of unique AMP-like peptides that are predominantly cysteine-rich. Significantly eight novel helminth AMP-like peptides, discovered using this pipeline, have antibacterial activities against a range of bacteria highlighting their potential as novel antimicrobials. Further, peptidomics analyses demonstrate the presence of AMP-like peptides in helminth body fluids supporting the need to further characterise these peptides and their function(s) in helminths. These data present novel opportunities to better understand helminth biology, discover new antimicrobials and develop future control strategies for helminth parasites.

bioinformatics↗

Biophysical characterisation of the structure of a SARS-CoV-2 self-amplifying - RNA (saRNA) vaccine

The current SARS-Covid-2 pandemic has led to an acceleration of messenger - ribonucleic acid (mRNA) vaccine technology. The development of production processes for these large mRNA molecules, especially self-amplifying mRNA (saRNA) has required concomitant development of analytical characterisation techniques. Characterising the purity, shape and structure of these biomolecules is key to their successful performance as drug products. This paper describes the biophysical characterisation of the Imperial College London Self-amplifying viral RNA vaccine (IMP-1) developed for SARS-CoV-2. A variety of analytical techniques have been used to characterise the IMP-1 RNA molecule. In this paper we use UV spectroscopy, dynamic light scattering (DLS), size-exclusion chromatography small angle scattering (SEC-SAXS) and circular dichroism (CD) to determine key biophysical attributes of IMP-1. Each technique provides important information about the concentration, size, shape, structure and purity of the molecule. Statement of significanceThis paper is highly significant as it provides a prescient biophysical characterisation of an efficacious Sars-Cov-2 vaccine self-amplifying (sa)RNA molecule. RNA vaccines have been a major scientific breakthrough of the Covid-19 pandemic. saRNA is a further development of conventional mRNA vaccines, amplifying the RNA of interest in the cell, allowing the vaccine to be administered at lower dosages. These new biologics are distinct from previous biologics and have required distinct analytical characterisation. The analytics described herein provide detailed information on the size, shape, and structure of the RNA molecule. This paper is therefore an important step in characterising large saRNA biological relevant molecules.

biophysics↗

Food quantity does not compensate for poor food quality in fitness of juvenile Chinook salmon (Oncorhynchus tshawytscha)

The global temperature increase due to global change is predicted to be between 3.3 - 5.7{degrees}C by 2100 leading to changes at the base of the marine food web in species composition, abundance, and quality at the base of the marine food web leading to flow-on effects of higher trophic levels such as fish and humans. Changes in marine prey availability and nutritional quality can affect juvenile salmon conditions (i.e., growth, condition, and mortality) during the early marine phase. There is limited knowledge of the interplay between prey availability and prey quality and the importance of food quality under food-satiated conditions. Here, a three-phase feeding experiment measured the effects of nutritional quality (fatty acid composition and ratios) on juvenile Chinook salmon (Oncorhynchus tshawytscha) condition. Experimental diets represented the present three different climate scenarios with a present-day diet (Euphausia pacifica), a control diet (commercial aquaculture diet), and a predicted IPCC worst-case scenario diet with low essential fatty acid concentrations (IPCC SSP5-8.5). We tested how potential future low quality food affects growth rates, body condition, fatty acid composition and mortality rates in juvenile Chinook salmon compared to present-quality prey. Fatty acids were incorporated into the salmon muscle at varying rates but, on average, reflected dietary concentrations. High dietary concentrations of DHA, EPA and high DHA:EPA ratios resulted in increased fish growth and condition. In contrast, low concentrations of DHA and EPA and low DHA:EPA ratios in the diets were not compensated for by increased food quantity. This result highlights the importance of considering food quality when assessing fish response to changing ocean conditions. HighlightsO_LIClimate change may decrease the quality of salmon prey through changes in the fatty acid composition. C_LIO_LILow dietary essential fatty acid levels reduce growth and condition and increase mortality rates in juvenile Chinook salmon. C_LIO_LIFood quality changes within zooplankton species but also by changes between species. C_LIO_LIResults suggest potential cascading effects on higher trophic levels when zooplankton species composition shifts to lower quality species. C_LIO_LIHigher food intake cannot compensate for low food quality. C_LI

ecology↗

Subtyping of Small Cell Lung Cancer using plasma cell-free nucleosomes

Emerging data on small cell lung cancer (SCLC), an aggressive malignancy with exceptionally poor prognosis, support subtypes driven by distinct transcription regulators, which engender unique therapeutic vulnerabilities. However, the translational potential of these observations is limited by access to tumor biopsies. Here, we leverage chromatin immunoprecipitation of cell-free nucleosomes carrying active chromatin modifications followed by sequencing (cfChIP-seq) on 442 plasma samples from individuals with advanced SCLC, neuroendocrine carcinomas (NEC), non-SCLC cancers, and healthy adults. Beyond providing reliable estimates of SCLC circulating free DNA tumor fraction, cfChIP-seq captures the unique epigenetic states of SCLC tissue- and cell-of-origin. Comparison of cfChIP-seq signals to matched tumor transcriptomes reveals genome-wide concordance, establishing a direct link between gene expression in the tumor and plasma cell-free nucleosomes. Exploiting this link, we develop a classifier that discriminates between SCLC lineage-defining transcription factor subtypes based on cfChIP-seq data. This work sets the stage to non-invasively profile SCLC transcriptomes using plasma cfDNA histone modifications.

cancer biology↗

Modular capsid decoration boosts adenovirus vaccine-induced humoral and cellular immunity against SARS-CoV-2

Adenovirus vector vaccines have been widely and successfully deployed in response to COVID-19. However, despite inducing potent T cell immunity, improvement of vaccine-specific antibody responses upon homologous boosting is modest compared to other technologies. Here, we describe a system to enable modular decoration of adenovirus capsid surfaces with protein antigens and demonstrate induction of potent humoral immunity against these displayed antigens. Ligand attachment via a covalent isopeptide bond was achieved in a rapid and spontaneous reaction, requiring simple co-incubation of ligand and vector components. We used a recently described protein superglue, DogTag/DogCatcher, which is similar to the widely used SpyTag/SpyCatcher ligation system but performs better in loop structures. DogTag was inserted into surface-exposed loops in the adenovirus hexon protein to allow attachment of DogCatcher-fused ligands on virus particles. Efficient coverage of the capsid surface was achieved using a variety of ligands and vector infectivity was retained in each case. Capsid decoration shielded particles from anti-adenovirus neutralizing antibodies. In prime-boost regimens, proof-of-concept COVID-19 adenovirus vaccines decorated with the receptor-binding domain (RBD) of SARS-CoV-2 spike induced >10-fold higher SARS-CoV-2 neutralization titers compared to an undecorated adenovirus vector encoding spike. Importantly, decorated vectors retained robust T cell immunogenicity to encoded antigens, a key hallmark of adenovirus vector vaccines. We propose capsid decoration via protein superglue-mediated covalent ligation as a novel strategy to improve the efficacy and boostability of adenovirus-based vaccines and therapeutics. One Sentence SummaryDecorating the capsid surface of adenovirus vaccine vectors using a spontaneous protein superglue induces potent pathogen-specific immunity

bioengineering↗

Partial sex linkage and linkage disequilibrium on the guppy sex chromosome

The guppy Y chromosome has been considered a model system for the evolution of suppressed recombination between sex chromosomes, and it has been proposed that complete sex-linkage has evolved across about 3 Mb surrounding this fishs sex-determining locus, followed by recombination suppression across a further 7 Mb of the 23 Mb XY pair, forming younger "evolutionary strata". Sequences of the guppy genome show that Y is very similar to the X chromosome, making it important to understand which parts of the Y are completely non-recombining, and whether there is indeed a large completely non-recombining region. Here, we describe new evidence that supports a different interpretation of the data that suggested the presence of such a region. We analysed PoolSeq data in samples from multiple natural populations from Trinidad. This yields evidence for linkage disequilibrium (LD) between sequence variants and the sex-determining locus. Downstream populations have higher diversity than upstream ones (which display the expected signs of bottlenecks). The associations we observe conform to predictions for a genome region with infrequent recombination that carries one or more sexually antagonistic polymorphisms. They also suggest the region in which the sex-determining locus must be located. However, no consistently male-specific variants were found, supporting the suggestion that any completely sex-linked region may be very small.

evolutionary biology↗

The interaction of climate history and evolution impacts alpine biodiversity assembly differently in freshwater and on land

Quaternary climate fluctuations can affect biodiversity assembly through speciation in two non-mutually-exclusive ways: a glacial species pump, where isolation in glacial refugia accelerates allopatric speciation, and adaptive radiation during ice-free periods. Here we detected biogeographic and genetic signatures associated with both mechanisms in the generation of the European Alps biodiversity. Age distributions of endemic and widespread species within aquatic and terrestrial taxa (amphipods, fishes, amphibians, butterflies and flowering plants) revealed that endemic fish evolved only in lakes, are highly sympatric and mainly of Holocene age, consistent with adaptive radiation. Endemic amphipods are ancient, suggesting preglacial radiation with limited range expansion and local Pleistocene survival, perhaps facilitated by a groundwater-dwelling lifestyle. Terrestrial endemics are mostly of Pleistocene age, and are thus more consistent with the glacial species pump. The lack of evidence for Holocene adaptive radiation in the terrestrial biome may be attributable to a faster range expansion of these taxa after glacial retreats, though fewer stable environments may also have contributed to differences between terrestrial areas and lakes. The high proportion of young, endemic species make the Alps vulnerable to climate change, but the mechanisms and consequences of species loss will likely differ between biomes because of their distinct histories.

evolutionary biology↗

ChAdOx1 nCoV-19 (AZD1222) vaccine elicits monoclonal antibodies with potent cross-neutralizing activity against SARS-CoV-2 viral variants

Although the antibody response to COVID-19 vaccination has been studied extensively at the polyclonal level using immune sera, little has been reported on the antibody response at the monoclonal level. Here we isolate a panel of 44 anti-SARS-CoV-2 monoclonal antibodies (mAbs) from an individual who received two doses of the ChAdOx1 nCoV-19 (AZD1222) vaccine at a 12-week interval. We show that despite a relatively low serum neutralization titre, mAbs with potent neutralizing activity against the current SARS-CoV-2 variants of concern (B.1.1.7, P.1, B.1.351 and B.1.617.2) were obtained. The vaccine elicited neutralizing mAbs form 8 distinct competition groups and bind epitopes overlapping with neutralizing mAbs elicited following SARS-CoV-2 infection. AZD1222 elicited mAbs are more mutated than mAbs isolated from convalescent donors 1-2 months post infection. Spike reactive IgG+ B cells were still detectable 9-months post boost. These findings give molecular insights into AZD1222 elicited antibody response.

immunology↗