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1. Disruption of seasonal influenza circulation and evolution during the 2009 H1N1 and COVID-19 pandemics in Southeastern Asia.

Author: Chen Z, Tsui JL, Cai J, Su S, Viboud C, du Plessis L, Lemey P, Kraemer MUG, and Yu H
Subjects: Humans, Asia, Southeastern epidemiology, Influenza B virus genetics, Travel statistics & numerical data, Phylogeny, COVID-19 epidemiology, COVID-19 virology, Influenza, Human epidemiology, Influenza, Human virology, Influenza A Virus, H1N1 Subtype genetics, Seasons, SARS-CoV-2 genetics, SARS-CoV-2 isolation & purification, Pandemics, Influenza A Virus, H3N2 Subtype genetics
Abstract: East, South, and Southeast Asia (together referred to as Southeastern Asia hereafter) have been recognized as critical areas fuelling the global circulation of seasonal influenza. However, the seasonal influenza migration network within Southeastern Asia remains unclear, including how pandemic-related disruptions altered this network. We leveraged genetic, epidemiological, and airline travel data between 2007-2023 to characterise the dispersal patterns of influenza A/H3N2 and B/Victoria viruses both out of and within Southeastern Asia, including during perturbations by the 2009 A/H1N1 and COVID-19 pandemics. During the COVID-19 pandemic, consistent autumn-winter movement waves from Southeastern Asia to temperate regions were interrupted for both subtype/lineages, however the A/H1N1 pandemic only disrupted A/H3N2 spread. We find a higher persistence of A/H3N2 than B/Victoria circulation in Southeastern Asia and identify distinct pandemic-related disruptions in A/H3N2 antigenic evolution between two pandemics, compared to interpandemic levels; similar patterns are observed in B/Victoria using genetic distance. The internal movement structure within Southeastern Asia markedly diverged during the COVID-19 pandemic season, and to a lesser extent, during the 2009 A/H1N1 pandemic season. Our findings provide insights into the heterogeneous impact of two distinct pandemic-related disruptions on influenza circulation, which can help anticipate the effects of future pandemics and potential mitigation strategies on influenza dynamics., Competing Interests: Competing interests: H.Y. received research funding from Sanofi Pasteur, GlaxoSmithKline, Yichang HEC Changjiang, Shanghai Roche Pharmaceutical Company, and SINOVAC Biotech Ltd. None of these funds are related to this work. All other authors declare no competing interests., (© 2025. The Author(s).)
Published: 2025
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2. Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh.

Author: Carnegie L, McCrone JT, du Plessis L, Hasan M, Ali MZ, Begum R, Hassan MZ, Islam S, Rahman MH, Uddin ASM, Sarker MS, Das T, Hossain M, Khan M, Razu MH, Akram A, Arina S, Hoque E, Molla MMA, Nafisaa T, Angra P, Rambaut A, Pullan ST, Osman KL, Hoque MA, Biswas P, Flora MS, Raghwani J, Fournié G, Samad MA, and Hill SC
Subjects: Bangladesh epidemiology, Humans, Phylogeny, Whole Genome Sequencing, Genomics, Molecular Epidemiology, Male, Adult, Female, Middle Aged, Young Adult, Adolescent, Child, COVID-19 transmission, COVID-19 epidemiology, COVID-19 virology, SARS-CoV-2 genetics, SARS-CoV-2 classification, Genome, Viral, Phylogeography
Abstract: Background: Genomic epidemiology has helped reconstruct the global and regional movement of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there is still a lack of understanding of SARS-CoV-2 spread in some of the world's least developed countries (LDCs)., Methods: To begin to address this disparity, we studied the transmission dynamics of the virus in Bangladesh during the country's first COVID-19 wave by analysing case reports and whole-genome sequences from all eight divisions of the country., Results: We detected > 50 virus introductions to the country during the period, including during a period of national lockdown. Additionally, through discrete phylogeographic analyses, we identified that geographical distance and population -density and/or -size influenced virus spatial dispersal in Bangladesh., Conclusions: Overall, this study expands our knowledge of SARS-CoV-2 genomic epidemiology in Bangladesh, shedding light on crucial transmission characteristics within the country, while also acknowledging resemblances and differences to patterns observed in other nations., Competing Interests: Declarations Ethics approval and consent to participate Patient consent for publication: Not applicable. The study was carried out under the ethical approval from the ethical approval committee of Bangladesh Livestock Research Institute, Bangladesh with the reference number BLRI/EA/2020102/2022, and with informed consent from tested individuals. Consent for publication Not applicable. Competing interests The authors declare no competing interests., (© 2024. The Author(s).)
Published: 2024
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3. COVID-19 pandemic interventions reshaped the global dispersal of seasonal influenza viruses.

Author: Chen Z, Tsui JL, Gutierrez B, Busch Moreno S, du Plessis L, Deng X, Cai J, Bajaj S, Suchard MA, Pybus OG, Lemey P, Kraemer MUG, and Yu H
Subjects: Humans, Asia epidemiology, Influenza A virus genetics, Pandemics prevention & control, Phylogeny, SARS-CoV-2 genetics, Travel, COVID-19 epidemiology, COVID-19 prevention & control, COVID-19 virology, Influenza B virus classification, Influenza B virus genetics, Influenza B virus isolation & purification, Influenza, Human epidemiology, Influenza, Human virology, Seasons
Abstract: The global dynamics of seasonal influenza viruses inform the design of surveillance, intervention, and vaccination strategies. The COVID-19 pandemic provided a singular opportunity to evaluate how influenza circulation worldwide was perturbed by human behavioral changes. We combine molecular, epidemiological, and international travel data and find that the pandemic's onset led to a shift in the intensity and structure of international influenza lineage movement. During the pandemic, South Asia played an important role as a phylogenetic trunk location of influenza A viruses, whereas West Asia maintained the circulation of influenza B/Victoria. We explore drivers of influenza lineage dynamics across the pandemic period and reasons for the possible extinction of the B/Yamagata lineage. After a period of 3 years, the intensity of among-region influenza lineage movements returned to pre-pandemic levels, with the exception of B/Yamagata, after the recovery of global air traffic, highlighting the robustness of global lineage dispersal patterns to substantial perturbation.
Published: 2024
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4. High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark.

Author: Khurana MP, Curran-Sebastian J, Scheidwasser N, Morgenstern C, Rasmussen M, Fonager J, Stegger M, Tang ME, Juul JL, Escobar-Herrera LA, Møller FT, Albertsen M, Kraemer MUG, du Plessis L, Jokelainen P, Lehmann S, Krause TG, Ullum H, Duchêne DA, Mortensen LH, and Bhatt S
Subjects: Humans, Denmark epidemiology, Adult, Middle Aged, Aged, Adolescent, Young Adult, Evolution, Molecular, Male, Female, Child, Preschool, Child, Phylogeny, Infant, COVID-19 epidemiology, COVID-19 virology, COVID-19 transmission, SARS-CoV-2 genetics, SARS-CoV-2 classification, Genome, Viral genetics
Abstract: Vast amounts of pathogen genomic, demographic and spatial data are transforming our understanding of SARS-CoV-2 emergence and spread. We examined the drivers of molecular evolution and spread of 291,791 SARS-CoV-2 genomes from Denmark in 2021. With a sequencing rate consistently exceeding 60%, and up to 80% of PCR-positive samples between March and November, the viral genome set is broadly whole-epidemic representative. We identify a consistent rise in viral diversity over time, with notable spikes upon the importation of novel variants (e.g., Delta and Omicron). By linking genomic data with rich individual-level demographic data from national registers, we find that individuals aged < 15 and > 75 years had a lower contribution to molecular change (i.e., branch lengths) compared to other age groups, but similar molecular evolutionary rates, suggesting a lower likelihood of introducing novel variants. Similarly, we find greater molecular change among vaccinated individuals, suggestive of immune evasion. We also observe evidence of transmission in rural areas to follow predictable diffusion processes. Conversely, urban areas are expectedly more complex due to their high mobility, emphasising the role of population structure in driving virus spread. Our analyses highlight the added value of integrating genomic data with detailed demographic and spatial information, particularly in the absence of structured infection surveys., (© 2024. The Author(s).)
Published: 2024
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5. How much should we sequence? An analysis of the Swiss SARS-CoV-2 surveillance effort.

Author: Wegner F, Cabrera-Gil B, Tanguy A, Beckmann C, Beerenwinkel N, Bertelli C, Carrara M, Cerutti L, Chen C, Cordey S, Dumoulin A, du Plessis L, Friedli M, Gerth Y, Greub G, Härri A, Hirsch H, Howald C, Huber M, Imhof A, Kaiser L, Kufner V, Leib SL, Leuzinger K, Lleshi E, Martinetti G, Mäusezahl M, Moraz M, Neher R, Nolte O, Ramette A, Redondo M, Risch L, Rohner L, Roloff T, Schläepfer P, Schneider K, Singer F, Spina V, Stadler T, Studer E, Topolsky I, Trkola A, Walther D, Wohlwend N, Zehnder C, Neves A, and Egli A
Subjects: Humans, Switzerland epidemiology, Epidemiological Monitoring, Pandemics, Phylogeny, COVID-19 epidemiology, COVID-19 virology, COVID-19 diagnosis, SARS-CoV-2 genetics, SARS-CoV-2 isolation & purification, SARS-CoV-2 classification, Genome, Viral genetics
Abstract: During the SARS-CoV-2 pandemic, many countries directed substantial resources toward genomic surveillance to detect and track viral variants. There is a debate over how much sequencing effort is necessary in national surveillance programs for SARS-CoV-2 and future pandemic threats. We aimed to investigate the effect of reduced sequencing on surveillance outcomes in a large genomic data set from Switzerland, comprising more than 143k sequences. We employed a uniform downsampling strategy using 100 iterations each to investigate the effects of fewer available sequences on the surveillance outcomes: (i) first detection of variants of concern (VOCs), (ii) speed of introduction of VOCs, (iii) diversity of lineages, (iv) first cluster detection of VOCs, (v) density of active clusters, and (vi) geographic spread of clusters. The impact of downsampling on VOC detection is disparate for the three VOC lineages, but many outcomes including introduction and cluster detection could be recapitulated even with only 35% of the original sequencing effort. The effect on the observed speed of introduction and first detection of clusters was more sensitive to reduced sequencing effort for some VOCs, in particular Omicron and Delta, respectively. A genomic surveillance program needs a balance between societal benefits and costs. While the overall national dynamics of the pandemic could be recapitulated by a reduced sequencing effort, the effect is strongly lineage-dependent-something that is unknown at the time of sequencing-and comes at the cost of accuracy, in particular for tracking the emergence of potential VOCs.IMPORTANCESwitzerland had one of the most comprehensive genomic surveillance systems during the COVID-19 pandemic. Such programs need to strike a balance between societal benefits and program costs. Our study aims to answer the question: How would surveillance outcomes have changed had we sequenced less? We find that some outcomes but also certain viral lineages are more affected than others by sequencing less. However, sequencing to around a third of the original effort still captured many important outcomes for the variants of concern such as their first detection but affected more strongly other measures like the detection of first transmission clusters for some lineages. Our work highlights the importance of setting predefined targets for a national genomic surveillance program based on which sequencing effort should be determined. Additionally, the use of a centralized surveillance platform facilitates aggregating data on a national level for rapid public health responses as well as post-analyses., Competing Interests: The authors declare no conflict of interest.
Published: 2024
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6. Swiss public health measures associated with reduced SARS-CoV-2 transmission using genome data.

Author: Nadeau SA, Vaughan TG, Beckmann C, Topolsky I, Chen C, Hodcroft E, Schär T, Nissen I, Santacroce N, Burcklen E, Ferreira P, Jablonski KP, Posada-Céspedes S, Capece V, Seidel S, Santamaria de Souza N, Martinez-Gomez JM, Cheng P, Bosshard PP, Levesque MP, Kufner V, Schmutz S, Zaheri M, Huber M, Trkola A, Cordey S, Laubscher F, Gonçalves AR, Aeby S, Pillonel T, Jacot D, Bertelli C, Greub G, Leuzinger K, Stange M, Mari A, Roloff T, Seth-Smith H, Hirsch HH, Egli A, Redondo M, Kobel O, Noppen C, du Plessis L, Beerenwinkel N, Neher RA, Beisel C, and Stadler T
Subjects: Humans, Public Health, Switzerland epidemiology, Communicable Disease Control, Genome, Viral genetics, Phylogeny, SARS-CoV-2 genetics, COVID-19 genetics
Abstract: Genome sequences from evolving infectious pathogens allow quantification of case introductions and local transmission dynamics. We sequenced 11,357 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Switzerland in 2020-the sixth largest effort globally. Using a representative subset of these data, we estimated viral introductions to Switzerland and their persistence over the course of 2020. We contrasted these estimates with simple null models representing the absence of certain public health measures. We show that Switzerland's border closures decoupled case introductions from incidence in neighboring countries. Under a simple model, we estimate an 86 to 98% reduction in introductions during Switzerland's strictest border closures. Furthermore, the Swiss 2020 partial lockdown roughly halved the time for sampled introductions to die out. Last, we quantified local transmission dynamics once introductions into Switzerland occurred using a phylodynamic model. We found that transmission slowed 35 to 63% upon outbreak detection in summer 2020 but not in fall. This finding may indicate successful contact tracing over summer before overburdening in fall. The study highlights the added value of genome sequencing data for understanding transmission dynamics.
Published: 2023
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7. Context-specific emergence and growth of the SARS-CoV-2 Delta variant.

Author: McCrone JT, Hill V, Bajaj S, Pena RE, Lambert BC, Inward R, Bhatt S, Volz E, Ruis C, Dellicour S, Baele G, Zarebski AE, Sadilek A, Wu N, Schneider A, Ji X, Raghwani J, Jackson B, Colquhoun R, O'Toole Á, Peacock TP, Twohig K, Thelwall S, Dabrera G, Myers R, Faria NR, Huber C, Bogoch II, Khan K, du Plessis L, Barrett JC, Aanensen DM, Barclay WS, Chand M, Connor T, Loman NJ, Suchard MA, Pybus OG, Rambaut A, and Kraemer MUG
Subjects: Cities epidemiology, Contact Tracing, England epidemiology, Genome, Viral genetics, Humans, Quarantine legislation & jurisprudence, Travel legislation & jurisprudence, COVID-19 epidemiology, COVID-19 prevention & control, COVID-19 transmission, COVID-19 virology, SARS-CoV-2 genetics, SARS-CoV-2 growth & development, SARS-CoV-2 isolation & purification
Abstract: The SARS-CoV-2 Delta (Pango lineage B.1.617.2) variant of concern spread globally, causing resurgences of COVID-19 worldwide 1,2 . The emergence of the Delta variant in the UK occurred on the background of a heterogeneous landscape of immunity and relaxation of non-pharmaceutical interventions. Here we analyse 52,992 SARS-CoV-2 genomes from England together with 93,649 genomes from the rest of the world to reconstruct the emergence of Delta and quantify its introduction to and regional dissemination across England in the context of changing travel and social restrictions. Using analysis of human movement, contact tracing and virus genomic data, we find that the geographic focus of the expansion of Delta shifted from India to a more global pattern in early May 2021. In England, Delta lineages were introduced more than 1,000 times and spread nationally as non-pharmaceutical interventions were relaxed. We find that hotel quarantine for travellers reduced onward transmission from importations; however, the transmission chains that later dominated the Delta wave in England were seeded before travel restrictions were introduced. Increasing inter-regional travel within England drove the nationwide dissemination of Delta, with some cities receiving more than 2,000 observable lineage introductions from elsewhere. Subsequently, increased levels of local population mixing-and not the number of importations-were associated with the faster relative spread of Delta. The invasion dynamics of Delta depended on spatial heterogeneity in contact patterns, and our findings will inform optimal spatial interventions to reduce the transmission of current and future variants of concern, such as Omicron (Pango lineage B.1.1.529)., (© 2022. The Author(s).)
Published: 2022
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8. Genomic Epidemiology of Early SARS-CoV-2 Transmission Dynamics, Gujarat, India.

Author: Raghwani J, du Plessis L, McCrone JT, Hill SC, Parag KV, Thézé J, Kumar D, Puvar A, Pandit R, Pybus OG, Fournié G, Joshi M, and Joshi C
Subjects: Genome, Viral, Genomics, Humans, India epidemiology, Phylogeny, COVID-19 epidemiology, SARS-CoV-2 genetics
Abstract: Limited genomic sampling in many high-incidence countries has impeded studies of severe respiratory syndrome coronavirus 2 (SARS-CoV-2) genomic epidemiology. Consequently, critical questions remain about the generation and global distribution of virus genetic diversity. We investigated SARS-CoV-2 transmission dynamics in Gujarat, India, during the state's first epidemic wave to shed light on spread of the virus in one of the regions hardest hit by the pandemic. By integrating case data and 434 whole-genome sequences sampled across 20 districts, we reconstructed the epidemic dynamics and spatial spread of SARS-CoV-2 in Gujarat. Our findings indicate global and regional connectivity and population density were major drivers of the Gujarat outbreak. We detected >100 virus lineage introductions, most of which appear to be associated with international travel. Within Gujarat, virus dissemination occurred predominantly from densely populated regions to geographically proximate locations that had low population density, suggesting that urban centers contributed disproportionately to virus spread.
Published: 2022
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9. Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa.

Author: Viana R, Moyo S, Amoako DG, Tegally H, Scheepers C, Althaus CL, Anyaneji UJ, Bester PA, Boni MF, Chand M, Choga WT, Colquhoun R, Davids M, Deforche K, Doolabh D, du Plessis L, Engelbrecht S, Everatt J, Giandhari J, Giovanetti M, Hardie D, Hill V, Hsiao NY, Iranzadeh A, Ismail A, Joseph C, Joseph R, Koopile L, Kosakovsky Pond SL, Kraemer MUG, Kuate-Lere L, Laguda-Akingba O, Lesetedi-Mafoko O, Lessells RJ, Lockman S, Lucaci AG, Maharaj A, Mahlangu B, Maponga T, Mahlakwane K, Makatini Z, Marais G, Maruapula D, Masupu K, Matshaba M, Mayaphi S, Mbhele N, Mbulawa MB, Mendes A, Mlisana K, Mnguni A, Mohale T, Moir M, Moruisi K, Mosepele M, Motsatsi G, Motswaledi MS, Mphoyakgosi T, Msomi N, Mwangi PN, Naidoo Y, Ntuli N, Nyaga M, Olubayo L, Pillay S, Radibe B, Ramphal Y, Ramphal U, San JE, Scott L, Shapiro R, Singh L, Smith-Lawrence P, Stevens W, Strydom A, Subramoney K, Tebeila N, Tshiabuila D, Tsui J, van Wyk S, Weaver S, Wibmer CK, Wilkinson E, Wolter N, Zarebski AE, Zuze B, Goedhals D, Preiser W, Treurnicht F, Venter M, Williamson C, Pybus OG, Bhiman J, Glass A, Martin DP, Rambaut A, Gaseitsiwe S, von Gottberg A, and de Oliveira T
Subjects: Antibodies, Neutralizing immunology, Botswana epidemiology, COVID-19 immunology, COVID-19 transmission, Humans, Models, Molecular, Mutation, Phylogeny, Recombination, Genetic, SARS-CoV-2 classification, SARS-CoV-2 immunology, South Africa epidemiology, Spike Glycoprotein, Coronavirus genetics, Spike Glycoprotein, Coronavirus immunology, COVID-19 epidemiology, COVID-19 virology, Immune Evasion, SARS-CoV-2 isolation & purification
Abstract: The SARS-CoV-2 epidemic in southern Africa has been characterized by three distinct waves. The first was associated with a mix of SARS-CoV-2 lineages, while the second and third waves were driven by the Beta (B.1.351) and Delta (B.1.617.2) variants, respectively 1-3 . In November 2021, genomic surveillance teams in South Africa and Botswana detected a new SARS-CoV-2 variant associated with a rapid resurgence of infections in Gauteng province, South Africa. Within three days of the first genome being uploaded, it was designated a variant of concern (Omicron, B.1.1.529) by the World Health Organization and, within three weeks, had been identified in 87 countries. The Omicron variant is exceptional for carrying over 30 mutations in the spike glycoprotein, which are predicted to influence antibody neutralization and spike function 4 . Here we describe the genomic profile and early transmission dynamics of Omicron, highlighting the rapid spread in regions with high levels of population immunity., (© 2022. The Author(s).)
Published: 2022
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10. Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission.

Author: Aggarwal D, Warne B, Jahun AS, Hamilton WL, Fieldman T, du Plessis L, Hill V, Blane B, Watkins E, Wright E, Hall G, Ludden C, Myers R, Hosmillo M, Chaudhry Y, Pinckert ML, Georgana I, Izuagbe R, Leek D, Nsonwu O, Hughes GJ, Packer S, Page AJ, Metaxaki M, Fuller S, Weale G, Holgate J, Brown CA, Howes R, McFarlane D, Dougan G, Pybus OG, Angelis D, Maxwell PH, Peacock SJ, Weekes MP, Illingworth C, Harrison EM, Matheson NJ, and Goodfellow IG
Subjects: COVID-19 prevention & control, COVID-19 virology, Contact Tracing, Genome, Viral genetics, Genomics, Humans, Phylogeny, RNA, Viral genetics, Risk Factors, SARS-CoV-2 classification, SARS-CoV-2 isolation & purification, Students, United Kingdom epidemiology, COVID-19 epidemiology, COVID-19 transmission, SARS-CoV-2 genetics, Universities statistics & numerical data
Abstract: Understanding SARS-CoV-2 transmission in higher education settings is important to limit spread between students, and into at-risk populations. In this study, we sequenced 482 SARS-CoV-2 isolates from the University of Cambridge from 5 October to 6 December 2020. We perform a detailed phylogenetic comparison with 972 isolates from the surrounding community, complemented with epidemiological and contact tracing data, to determine transmission dynamics. We observe limited viral introductions into the university; the majority of student cases were linked to a single genetic cluster, likely following social gatherings at a venue outside the university. We identify considerable onward transmission associated with student accommodation and courses; this was effectively contained using local infection control measures and following a national lockdown. Transmission clusters were largely segregated within the university or the community. Our study highlights key determinants of SARS-CoV-2 transmission and effective interventions in a higher education setting that will inform public health policy during pandemics., (© 2022. The Author(s).)
Published: 2022
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11. Purifying Selection Determines the Short-Term Time Dependency of Evolutionary Rates in SARS-CoV-2 and pH1N1 Influenza.

Author: Ghafari M, du Plessis L, Raghwani J, Bhatt S, Xu B, Pybus OG, and Katzourakis A
Subjects: Bayes Theorem, Humans, Phylogeny, SARS-CoV-2, COVID-19, Influenza A Virus, H1N1 Subtype genetics, Influenza, Human epidemiology
Abstract: High-throughput sequencing enables rapid genome sequencing during infectious disease outbreaks and provides an opportunity to quantify the evolutionary dynamics of pathogens in near real-time. One difficulty of undertaking evolutionary analyses over short timescales is the dependency of the inferred evolutionary parameters on the timespan of observation. Crucially, there are an increasing number of molecular clock analyses using external evolutionary rate priors to infer evolutionary parameters. However, it is not clear which rate prior is appropriate for a given time window of observation due to the time-dependent nature of evolutionary rate estimates. Here, we characterize the molecular evolutionary dynamics of SARS-CoV-2 and 2009 pandemic H1N1 (pH1N1) influenza during the first 12 months of their respective pandemics. We use Bayesian phylogenetic methods to estimate the dates of emergence, evolutionary rates, and growth rates of SARS-CoV-2 and pH1N1 over time and investigate how varying sampling window and data set sizes affect the accuracy of parameter estimation. We further use a generalized McDonald-Kreitman test to estimate the number of segregating nonneutral sites over time. We find that the inferred evolutionary parameters for both pandemics are time dependent, and that the inferred rates of SARS-CoV-2 and pH1N1 decline by ∼50% and ∼100%, respectively, over the course of 1 year. After at least 4 months since the start of sequence sampling, inferred growth rates and emergence dates remain relatively stable and can be inferred reliably using a logistic growth coalescent model. We show that the time dependency of the mean substitution rate is due to elevated substitution rates at terminal branches which are 2-4 times higher than those of internal branches for both viruses. The elevated rate at terminal branches is strongly correlated with an increasing number of segregating nonneutral sites, demonstrating the role of purifying selection in generating the time dependency of evolutionary parameters during pandemics., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.)
Published: 2022
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12. Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence.

Author: Kraemer MUG, Hill V, Ruis C, Dellicour S, Bajaj S, McCrone JT, Baele G, Parag KV, Battle AL, Gutierrez B, Jackson B, Colquhoun R, O'Toole Á, Klein B, Vespignani A, Volz E, Faria NR, Aanensen DM, Loman NJ, du Plessis L, Cauchemez S, Rambaut A, Scarpino SV, and Pybus OG
Subjects: COVID-19 prevention & control, COVID-19 transmission, COVID-19 Nucleic Acid Testing, Communicable Disease Control, Genome, Viral, Humans, Incidence, Phylogeography, Spatio-Temporal Analysis, Travel, United Kingdom epidemiology, COVID-19 epidemiology, COVID-19 virology, SARS-CoV-2 genetics, SARS-CoV-2 pathogenicity
Abstract: Understanding the causes and consequences of the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern is crucial to pandemic control yet difficult to achieve because they arise in the context of variable human behavior and immunity. We investigated the spatial invasion dynamics of lineage B.1.1.7 by jointly analyzing UK human mobility, virus genomes, and community-based polymerase chain reaction data. We identified a multistage spatial invasion process in which early B.1.1.7 growth rates were associated with mobility and asymmetric lineage export from a dominant source location, enhancing the effects of B.1.1.7's increased intrinsic transmissibility. We further explored how B.1.1.7 spread was shaped by nonpharmaceutical interventions and spatial variation in previous attack rates. Our findings show that careful accounting of the behavioral and epidemiological context within which variants of concern emerge is necessary to interpret correctly their observed relative growth rates., (Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
Published: 2021
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13. Addendum: A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology.

Author: Rambaut A, Holmes EC, O'Toole Á, Hill V, McCrone JT, Ruis C, du Plessis L, and Pybus OG
Subjects: Genome, Viral genetics, Genomics, Humans, COVID-19, SARS-CoV-2
Abstract: An Addendum to this paper has been published: https://doi.org/10.1038/s41564-021-00872-5.
Published: 2021
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14. Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK.

Author: du Plessis L, McCrone JT, Zarebski AE, Hill V, Ruis C, Gutierrez B, Raghwani J, Ashworth J, Colquhoun R, Connor TR, Faria NR, Jackson B, Loman NJ, O'Toole Á, Nicholls SM, Parag KV, Scher E, Vasylyeva TI, Volz EM, Watts A, Bogoch II, Khan K, Aanensen DM, Kraemer MUG, Rambaut A, and Pybus OG
Subjects: COVID-19 prevention & control, COVID-19 transmission, Chain of Infection, Communicable Disease Control, Communicable Diseases, Imported epidemiology, Communicable Diseases, Imported virology, Epidemics, Humans, Phylogeny, Travel, United Kingdom epidemiology, COVID-19 epidemiology, COVID-19 virology, Genome, Viral, SARS-CoV-2 genetics
Abstract: The United Kingdom's COVID-19 epidemic during early 2020 was one of world's largest and was unusually well represented by virus genomic sampling. We determined the fine-scale genetic lineage structure of this epidemic through analysis of 50,887 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes, including 26,181 from the UK sampled throughout the country's first wave of infection. Using large-scale phylogenetic analyses combined with epidemiological and travel data, we quantified the size, spatiotemporal origins, and persistence of genetically distinct UK transmission lineages. Rapid fluctuations in virus importation rates resulted in >1000 lineages; those introduced prior to national lockdown tended to be larger and more dispersed. Lineage importation and regional lineage diversity declined after lockdown, whereas lineage elimination was size-dependent. We discuss the implications of our genetic perspective on transmission dynamics for COVID-19 epidemiology and control., (Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)
Published: 2021
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15. SARS-CoV-2 lineage dynamics in England from September to November 2021: high diversity of Delta sub-lineages and increased transmissibility of AY.4.2

Author: Eales, O, Page, AJ, de Oliveira Martins, L, Wang, H, Bodinier, B, Haw, D, Jonnerby, J, Atchison, C, Robson, SC, Connor, TR, Loman, NJ, Golubchik, T, Nunez, RTM, Bonsall, D, Rambaut, A, Snell, LB, Livett, R, Ludden, C, Corden, S, Nastouli, E, Nebbia, G, Johnston, I, Lythgoe, K, Torok, ME, Goodfellow, IG, Prieto, JA, Saeed, K, Jackson, DK, Houlihan, C, Frampton, D, Hamilton, WL, Witney, AA, Bucca, G, Pope, CF, Moore, C, Thomson, EC, Harrison, EM, Smith, CP, Rogan, F, Beckwith, SM, Murray, A, Singleton, D, Eastick, K, Sheridan, LA, Randell, P, Jackson, LM, Ariani, CV, Gonçalves, S, Fairley, DJ, Loose, MW, Watkins, J, Moses, S, Nicholls, S, Bull, M, Amato, R, Smith, DL, Aanensen, DM, Barrett, JC, Aggarwal, D, Shepherd, JG, Curran, MD, Parmar, S, Parker, MD, Williams, C, Glaysher, S, Underwood, AP, Bashton, M, Pacchiarini, N, Loveson, KF, Byott, M, Carabelli, AM, Templeton, KE, de Silva, TI, Wang, D, Langford, CF, Sillitoe, J, Gunson, RN, Cottrell, S, O’Grady, J, Kwiatkowski, D, Lillie, PJ, Cortes, N, Moore, N, Thomas, C, Burns, PJ, Mahungu, TW, Liggett, S, Beckett, AH, Holden, MTG, Levett, LJ, Osman, H, Hassan-Ibrahim, MO, Simpson, DA, Chand, M, Gupta, RK, Darby, AC, Paterson, S, Pybus, OG, Volz, EM, de Angelis, D, Robertson, DL, Martincorena, I, Aigrain, L, Bassett, AR, Wong, N, Taha, Y, Erkiert, MJ, Chapman, MHS, Dewar, R, McHugh, MP, Mookerjee, S, Aplin, S, Harvey, M, Sass, T, Umpleby, H, Wheeler, H, McKenna, JP, Warne, B, Taylor, JF, Chaudhry, Y, Izuagbe, R, Jahun, AS, Young, GR, McMurray, C, McCann, CM, Nelson, A, Elliott, S, Lowe, H, Price, A, Crown, MR, Rey, S, Roy, S, Temperton, B, Shaaban, S, Hesketh, AR, Laing, KG, Monahan, IM, Heaney, J, Pelosi, E, Silviera, S, Wilson-Davies, E, Fryer, H, Adams, H, du Plessis, L, Johnson, R, Harvey, WT, Hughes, J, Orton, RJ, Spurgin, LG, Bourgeois, Y, Ruis, C, O’Toole, Á, Gourtovaia, M, Sanderson, T, Fraser, C, Edgeworth, J, Breuer, J, Michell, SL, Todd, JA, John, M, Buck, D, Gajee, K, Kay, GL, Peacock, SJ, Heyburn, D, Kitchman, K, McNally, A, Pritchard, DT, Dervisevic, S, Muir, P, Robinson, E, Vipond, BB, Ramadan, NA, Jeanes, C, Weldon, D, Catalan, J, Jones, N, da Silva Filipe, A, Fuchs, M, Miskelly, J, Jeffries, AR, Oliver, K, Park, NR, Ash, A, Koshy, C, Barrow, M, Buchan, SL, Mantzouratou, A, Clark, G, Holmes, CW, Campbell, S, Davis, T, Tan, NK, Brown, JR, Harris, KA, Kidd, SP, Grant, PR, Xu-McCrae, L, Cox, A, Madona, P, Pond, M, Randell, PA, Withell, KT, Graham, C, Denton-Smith, R, Swindells, E, Turnbull, R, Sloan, TJ, Bosworth, A, Hutchings, S, Pymont, HM, Casey, A, Ratcliffe, L, Jones, CR, Knight, BA, Haque, T, Hart, J, Irish-Tavares, D, Witele, E, Mower, C, Watson, LK, Collins, J, Eltringham, G, Crudgington, D, Macklin, B, Iturriza-Gomara, M, Lucaci, AO, McClure, PC, Carlile, M, Holmes, N, Storey, N, Rooke, S, Yebra, G, Craine, N, Perry, M, Alikhan, N - F, Bridgett, S, Cook, KF, Fearn, C, Goudarzi, S, Lyons, RA, Williams, T, Haldenby, ST, Durham, J, Leonard, S, Davies, RM, Batra, R, Blane, B, Spyer, MJ, Smith, P, Yavus, M, Williams, RJ, Mahanama, AIK, Samaraweera, B, Girgis, ST, Hansford, SE, Green, A, Beaver, C, Bellis, KL, Dorman, MJ, Kay, S, Prestwood, L, Rajatileka, S, Quick, J, Poplawski, R, Reynolds, N, Mack, A, Morriss, A, Whalley, T, Patel, B, Georgana, I, Hosmillo, M, Pinckert, ML, Stockton, J, Henderson, JH, Hollis, A, Stanley, W, Yew, WC, Myers, R, Thornton, A, Adams, A, Annett, T, Asad, H, Birchley, A, Coombes, J, Evans, JM, Fina, L, Gatica-Wilcox, B, Gilbert, L, Graham, L, Hey, J, Hilvers, E, Jones, S, Jones, H, Kumziene-Summerhayes, S, McKerr, C, Powell, J, Pugh, G, Taylor, S, Trotter, AJ, Williams, CA, Kermack, LM, Foulkes, BH, Gallis, M, Hornsby, HR, Louka, SF, Pohare, M, Wolverson, P, Zhang, P, MacIntyre-Cockett, G, Trebes, A, Moll, RJ, Ferguson, L, Goldstein, EJ, Maclean, A, Tomb, R, Starinskij, I, Thomson, L, Southgate, J, Kraemer, MUG, Raghwani, J, Zarebski, AE, Boyd, O, Geidelberg, L, Illingworth, CJ, Jackson, C, Pascall, D, Vattipally, S, Freeman, TM, Hsu, SN, Lindsey, BB, James, K, Lewis, K, Tonkin-Hill, G, Tovar-Corona, JM, Cox, MG, Abudahab, K, Menegazzo, M, MEng, BEWT, Yeats, CA, Mukaddas, A, Wright, DW, Colquhoun, R, Hill, V, Jackson, B, McCrone, JT, Medd, N, Scher, E, Keatley, J - P, Curran, T, Morgan, S, Maxwell, P, Smith, K, Eldirdiri, S, Kenyon, A, Holmes, AH, Price, JR, Wyatt, T, Mather, AE, Skvortsov, T, Hartley, JA, Guest, M, Kitchen, C, Merrick, I, Munn, R, Bertolusso, B, Lynch, J, Vernet, G, Kirk, S, Wastnedge, E, Stanley, R, Idle, G, Bradley, DT, Poyner, J, Mori, M, Jones, O, Wright, V, Brooks, E, Churcher, CM, Fragakis, M, Galai, K, Jermy, A, Judges, S, McManus, GM, Smith, KS, Westwick, E, Attwood, SW, Bolt, F, Davies, A, De Lacy, E, Downing, F, Edwards, S, Meadows, L, Jeremiah, S, Smith, N, Foulser, L, Charalampous, T, Patel, A, Berry, L, Boswell, T, Fleming, VM, Howson-Wells, HC, Joseph, A, Khakh, M, Lister, MM, Bird, PW, Fallon, K, Helmer, T, McMurray, CL, Odedra, M, Shaw, J, Tang, JW, Willford, NJ, Blakey, V, Raviprakash, V, Sheriff, N, Williams, L - A, Feltwell, T, Bedford, L, Cargill, JS, Hughes, W, Moore, J, Stonehouse, S, Atkinson, L, Lee, JCD, Shah, D, Alcolea-Medina, A, Ohemeng-Kumi, N, Ramble, J, Sehmi, J, Williams, R, Chatterton, W, Pusok, M, Everson, W, Castigador, A, Macnaughton, E, Bouzidi, KE, Lampejo, T, Sudhanva, M, Breen, C, Sluga, G, Ahmad, SSY, George, RP, Machin, NW, Binns, D, James, V, Blacow, R, Coupland, L, Smith, L, Barton, E, Padgett, D, Scott, G, Cross, A, Mirfenderesky, M, Greenaway, J, Cole, K, Clarke, P, Duckworth, N, Walsh, S, Bicknell, K, Impey, R, Wyllie, S, Hopes, R, Bishop, C, Chalker, V, Harrison, I, Gifford, L, Molnar, Z, Auckland, C, Evans, C, Johnson, K, Partridge, DG, Raza, M, Baker, P, Bonner, S, Essex, S, Murray, LJ, Lawton, AI, Burton-Fanning, S, Payne, BAI, Waugh, S, Gomes, AN, Kimuli, M, Murray, DR, Ashfield, P, Dobie, D, Ashford, F, Best, A, Crawford, L, Cumley, N, Mayhew, M, Megram, O, Mirza, J, Moles-Garcia, E, Percival, B, Driscoll, M, Ensell, L, Lowe, HL, Maftei, L, Mondani, M, Chaloner, NJ, Cogger, BJ, Easton, LJ, Huckson, H, Lewis, J, Lowdon, S, Malone, CS, Munemo, F, Mutingwende, M, Nicodemi, R, Podplomyk, O, Somassa, T, Beggs, A, Richter, A, Cormie, C, Dias, J, Forrest, S, Higginson, EE, Maes, M, Young, J, Davidson, RK, Jackson, KA, Turtle, L, Keeley, AJ, Ball, J, Byaruhanga, T, Chappell, JG, Dey, J, Hill, JD, Park, EJ, Fanaie, A, Hilson, RA, Yaze, G, Lo, S, Afifi, S, Beer, R, Maksimovic, J, McCluggage, K, Spellman, K, Bresner, C, Fuller, W, Marchbank, A, Workman, T, Shelest, E, Debebe, J, Sang, F, Zamudio, ME, Francois, S, Gutierrez, B, Vasylyeva, TI, Flaviani, F, Ragonnet-Cronin, M, Smollett, KL, Broos, A, Mair, D, Nichols, J, Nomikou, K, Tong, L, Tsatsani, I, O’Brien, PS, Rushton, S, Sanderson, R, Perkins, J, Cotton, S, Gallagher, A, Allara, E, Pearson, C, Bibby, D, Dabrera, G, Ellaby, N, Gallagher, E, Hubb, J, Lackenby, A, Lee, D, Manesis, N, Mbisa, T, Platt, S, Twohig, KA, Morgan, M, Aydin, A, Baker, DJ, Foster-Nyarko, E, Prosolek, SJ, Rudder, S, Baxter, C, Carvalho, SF, Lavin, D, Mariappan, A, Radulescu, C, Singh, A, Tang, M, Morcrette, H, Bayzid, N, Cotic, M, Balcazar, CE, Gallagher, MD, Maloney, D, Stanton, TD, Williamson, KA, Manley, R, Michelsen, ML, Sambles, CM, Studholme, DJ, Warwick-Dugdale, J, Eccles, R, Gemmell, M, Gregory, R, Hughes, M, Nelson, C, Rainbow, L, Vamos, EE, Webster, HJ, Whitehead, M, Wierzbicki, C, Angyal, A, Green, LR, Whiteley, M, Betteridge, E, Bronner, IF, Farr, BW, Goodwin, S, Lensing, SV, McCarthy, SA, Quail, MA, Rajan, D, Redshaw, NM, Scott, C, Shirley, L, Thurston, SAJ, Rowe, W, Gaskin, A, Le-Viet, T, Bonfield, J, Liddle, J, Whitwham, A, Ashby, D, Barclay, W, Taylor, G, Cooke, G, Ward, H, Darzi, A, Riley, S, Chadeau-Hyam, M, Donnelly, CA, Elliott, P, The COVID-19 Genomics UK (COG-UK) Consortium, Department of Health, Imperial College Healthcare NHS Trust- BRC Funding, Medical Research Council (MRC), Cancer Research UK, Commission of the European Communities, Wellcome Trust, National Institute for Health Research, and Imperial College Healthcare NHS Trust: Research Capability Funding (RCF)
Subjects: Delta variant, Science & Technology, SARS-CoV-2, COVID-19, 1103 Clinical Sciences, C500, Microbiology, Genetic diversity, B900, Infectious Diseases, England, COVID-19 Genomics UK (COG-UK) Consortium, 1108 Medical Microbiology, Mutation, Humans, Transmission advantage, Life Sciences & Biomedicine, Phylogeny, 0605 Microbiology
Abstract: Background Since the emergence of SARS-CoV-2, evolutionary pressure has driven large increases in the transmissibility of the virus. However, with increasing levels of immunity through vaccination and natural infection the evolutionary pressure will switch towards immune escape. Genomic surveillance in regions of high immunity is crucial in detecting emerging variants that can more successfully navigate the immune landscape. Methods We present phylogenetic relationships and lineage dynamics within England (a country with high levels of immunity), as inferred from a random community sample of individuals who provided a self-administered throat and nose swab for rt-PCR testing as part of the REal-time Assessment of Community Transmission-1 (REACT-1) study. During round 14 (9 September–27 September 2021) and 15 (19 October–5 November 2021) lineages were determined for 1322 positive individuals, with 27.1% of those which reported their symptom status reporting no symptoms in the previous month. Results We identified 44 unique lineages, all of which were Delta or Delta sub-lineages, and found a reduction in their mutation rate over the study period. The proportion of the Delta sub-lineage AY.4.2 was increasing, with a reproduction number 15% (95% CI 8–23%) greater than the most prevalent lineage, AY.4. Further, AY.4.2 was less associated with the most predictive COVID-19 symptoms (p = 0.029) and had a reduced mutation rate (p = 0.050). Both AY.4.2 and AY.4 were found to be geographically clustered in September but this was no longer the case by late October/early November, with only the lineage AY.6 exhibiting clustering towards the South of England. Conclusions As SARS-CoV-2 moves towards endemicity and new variants emerge, genomic data obtained from random community samples can augment routine surveillance data without the potential biases introduced due to higher sampling rates of symptomatic individuals.
Published: 2022

16. SARS-CoV-2 evolution during treatment of chronic infection

Author: Kemp, S. A., Collier, D. A., Datir, R. P., Ferreira, I. A. T. M., Gayed, S., Jahun, A., Hosmillo, M., Rees-Spear, C., Mlcochova, P., Lumb, I. U., Roberts, D. J., Chandra, A., Temperton, N., Baker, S., Dougan, G., Hess, C., Kingston, N., Lehner, P. J., Lyons, P. A., Matheson, N. J., Owehand, W. H., Saunders, C., Summers, C., Thaventhiran, J. E. D., Toshner, M., Weekes, M. P., Bucke, A., Calder, J., Canna, L., Domingo, J., Elmer, A., Fuller, S., Harris, J., Hewitt, S., Kennet, J., Jose, S., Kourampa, J., Meadows, A., O'Brien, C., Price, J., Publico, C., Rastall, R., Ribeiro, C., Rowlands, J., Ruffolo, V., Tordesillas, H., Bullman, B., Dunmore, B. J., Fawke, S., Graf, S., Hodgson, J., Huang, C., Hunter, K., Jones, E., Legchenko, E., Matara, C., Martin, J., Mescia, F., O'Donnell, C., Pointon, L., Pond, N., Shih, J., Sutcliffe, R., Tilly, T., Treacy, C., Tong, Z., Wood, J., Wylot, M., Bergamaschi, L., Betancourt, A., Bower, G., Cossetti, C., De Sa, A., Epping, M., Gleadall, N., Grenfell, R., Hinch, A., Huhn, O., Jackson, S., Jarvis, I., Lewis, D., Marsden, J., Nice, F., Okecha, G., Omarjee, O., Perera, M., Richoz, N., Romashova, V., Yarkoni, N. S., Sharma, R., Stefanucci, L., Stephens, J., Strezlecki, M., Turner, L., De Bie, E. M. D. D., Bunclark, K., Josipovic, M., Mackay, M., Rossi, S., Selvan, M., Spencer, S., Yong, C., Ansaripour, A., Michael, A., Mwaura, L., Patterson, C., Polwarth, G., Polgarova, P., di Stefano, G., Fahey, C., Michel, R., Bong, S. -H., Coudert, J. D., Holmes, E., Allison, J., Butcher, H., Caputo, D., Clapham-Riley, D., Dewhurst, E., Furlong, A., Graves, B., Gray, J., Ivers, T., Kasanicki, M., Le Gresley, E., Linger, R., Meloy, S., Muldoon, F., Ovington, N., Papadia, S., Phelan, I., Stark, H., Stirrups, K. E., Townsend, P., Walker, N., Webster, J., Robson, S. C., Loman, N. J., Connor, T. R., Golubchik, T., Martinez Nunez, R. T., Ludden, C., Corden, S., Johnston, I., Bonsall, D., Smith, C. P., Awan, A. R., Bucca, G., Estee Torok, M., Saeed, K., Prieto, J. A., Jackson, D. K., Hamilton, W. L., Snell, L. B., Moore, C., Harrison, E. M., Goncalves, S., Fairley, D. J., Loose, M. W., Watkins, J., Livett, R., Moses, S., Amato, R., Nicholls, S., Bull, M., Smith, D. L., Barrett, J., Aanensen, D. M., Curran, M. D., Parmar, S., Aggarwal, D., Shepherd, J. G., Parker, M. D., Glaysher, S., Bashton, M., Underwood, A. P., Pacchiarini, N., Loveson, K. F., Carabelli, A. M., Templeton, K. E., Langford, C. F., Sillitoe, J., de Silva, T. I., Wang, D., Kwiatkowski, D., Rambaut, A., O'Grady, J., Cottrell, S., Holden, M. T. G., Thomson, E. C., Osman, H., Andersson, M., Chauhan, A. J., Hassan-Ibrahim, M. O., Lawniczak, M., Alderton, A., Chand, M., Constantinidou, C., Unnikrishnan, M., Darby, A. C., Hiscox, J. A., Paterson, S., Martincorena, I., Robertson, D. L., Volz, E. M., Page, A. J., Pybus, O. G., Bassett, A. R., Ariani, C. V., Spencer Chapman, M. H., K. K., Li, Shah, R. N., Jesudason, N. G., Taha, Y., Mchugh, M. P., Dewar, R., Jahun, A. S., Mcmurray, C., Pandey, S., Mckenna, J. P., Nelson, A., Young, G. R., Mccann, C. M., Elliott, S., Lowe, H., Temperton, B., Roy, S., Price, A., Rey, S., Wyles, M., Rooke, S., Shaaban, S., de Cesare, M., Letchford, L., Silveira, S., Pelosi, E., Wilson-Davies, E., O'Toole, A., Hesketh, A. R., Stark, R., du Plessis, L., Ruis, C., Adams, H., Bourgeois, Y., Michell, S. L., Gramatopoulos, D., Edgeworth, J., Breuer, J., Todd, J. A., Fraser, C., Buck, D., John, M., Kay, G. L., Palmer, S., Peacock, S. J., Heyburn, D., Weldon, D., Robinson, E., Mcnally, A., Muir, P., Vipond, I. B., Boyes, J., Sivaprakasam, V., Salluja, T., Dervisevic, S., Meader, E. J., Park, N. R., Oliver, K., Jeffries, A. R., Ott, S., da Silva Filipe, A., Simpson, D. A., Williams, C., Masoli, J. A. H., Knight, B. A., Jones, C. R., Koshy, C., Ash, A., Casey, A., Bosworth, A., Ratcliffe, L., Xu-McCrae, L., Pymont, H. M., Hutchings, S., Berry, L., Jones, K., Halstead, F., Davis, T., Holmes, C., Iturriza-Gomara, M., Lucaci, A. O., Randell, P. A., Cox, A., Madona, P., Harris, K. A., Brown, J. R., Mahungu, T. W., Irish-Tavares, D., Haque, T., Hart, J., Witele, E., Fenton, M. L., Liggett, S., Graham, C., Swindells, E., Collins, J., Eltringham, G., Campbell, S., Mcclure, P. C., Clark, G., Sloan, T. J., Jones, C., Lynch, J., Warne, B., Leonard, S., Durham, J., Williams, T., Haldenby, S. T., Storey, N., Alikhan, N. -F., Holmes, N., Carlile, M., Perry, M., Craine, N., Lyons, R. A., Beckett, A. H., Goudarzi, S., Fearn, C., Cook, K., Dent, H., Paul, H., Davies, R., Blane, B., Girgis, S. T., Beale, M. A., Bellis, K. L., Dorman, M. J., Drury, E., Kane, L., Kay, S., Mcguigan, S., Nelson, R., Prestwood, L., Rajatileka, S., Batra, R., Williams, R. J., Kristiansen, M., Green, A., Justice, A., Mahanama, A. I. K., Samaraweera, B., Hadjirin, N. F., Quick, J., Poplawski, R., Kermack, L. M., Reynolds, N., Hall, G., Chaudhry, Y., Pinckert, M. L., Georgana, I., Moll, R. J., Thornton, A., Myers, R., Stockton, J., Williams, C. A., Yew, W. C., Trotter, A. J., Trebes, A., MacIntyre-Cockett, G., Birchley, A., Adams, A., Plimmer, A., Gatica-Wilcox, B., Mckerr, C., Hilvers, E., Jones, H., Asad, H., Coombes, J., Evans, J. M., Fina, L., Gilbert, L., Graham, L., Cronin, M., Kumziene-Summerhayes, S., Taylor, S., Jones, S., Groves, D. C., Zhang, P., Gallis, M., Louka, S. F., Starinskij, I., Jackson, C., Gourtovaia, M., Tonkin-Hill, G., Lewis, K., Tovar-Corona, J. M., James, K., Baxter, L., Alam, M. T., Orton, R. J., Hughes, J., Vattipally, S., Ragonnet-Cronin, M., Nascimento, F. F., Jorgensen, D., Boyd, O., Geidelberg, L., Zarebski, A. E., Raghwani, J., Kraemer, M. U. G., Southgate, J., Lindsey, B. B., Freeman, T. M., Keatley, J. -P., Singer, J. B., de Oliveira Martins, L., Yeats, C. A., Abudahab, K., Taylor, B. E. W., Menegazzo, M., Danesh, J., Hogsden, W., Eldirdiri, S., Kenyon, A., Mason, J., Robinson, T. I., Holmes, A., Hartley, J. A., Curran, T., Mather, A. E., Shankar, G., Jones, R., Howe, R., Morgan, S., Wastenge, E., Chapman, M. R., Mookerjee, S., Stanley, R., Smith, W., Peto, T., Eyre, D., Crook, D., Vernet, G., Kitchen, C., Gulliver, H., Merrick, I., Guest, M., Munn, R., Bradley, D. T., Wyatt, T., Beaver, C., Foulser, L., Churcher, C. M., Brooks, E., Smith, K. S., Galai, K., Mcmanus, G. M., Bolt, F., Coll, F., Meadows, L., Attwood, S. W., Davies, A., De Lacy, E., Downing, F., Edwards, S., Scarlett, G. P., Jeremiah, S., Smith, N., Leek, D., Sridhar, S., Forrest, S., Cormie, C., Gill, H. K., Dias, J., Higginson, E. E., Maes, M., Young, J., Wantoch, M., Jamrozy, D., Lo, S., Patel, M., Hill, V., Bewshea, C. M., Ellard, S., Auckland, C., Harrison, I., Bishop, C., Chalker, V., Richter, A., Beggs, A., Best, A., Percival, B., Mirza, J., Megram, O., Mayhew, M., Crawford, L., Ashcroft, F., Moles-Garcia, E., Cumley, N., Hopes, R., Asamaphan, P., Niebel, M. O., Gunson, R. N., Bradley, A., Maclean, A., Mollett, G., Blacow, R., Bird, P., Helmer, T., Fallon, K., Tang, J., Hale, A. D., Macfarlane-Smith, L. R., Harper, K. L., Carden, H., Machin, N. W., Jackson, K. A., Ahmad, S. S. Y., George, R. P., Turtle, L., O'Toole, E., Watts, J., Breen, C., Cowell, A., Alcolea-Medina, A., Charalampous, T., Patel, A., Levett, L. J., Heaney, J., Rowan, A., Taylor, G. P., Shah, D., Atkinson, L., Lee, J. C. D., Westhorpe, A. P., Jannoo, R., Lowe, H. L., Karamani, A., Ensell, L., Chatterton, W., Pusok, M., Dadrah, A., Symmonds, A., Sluga, G., Molnar, Z., Baker, P., Bonner, S., Essex, S., Barton, E., Padgett, D., Scott, G., Greenaway, J., Payne, B. A. I., Burton-Fanning, S., Waugh, S., Raviprakash, V., Sheriff, N., Blakey, V., Williams, L. -A., Moore, J., Stonehouse, S., Smith, L., Davidson, R. K., Bedford, L., Coupland, L., Wright, V., Chappell, J. G., Tsoleridis, T., Ball, J., Khakh, M., Fleming, V. M., Lister, M. M., Howson-Wells, H. C., Boswell, T., Joseph, A., Willingham, I., Duckworth, N., Walsh, S., Wise, E., Moore, N., Mori, M., Cortes, N., Kidd, S., Williams, R., Gifford, L., Bicknell, K., Wyllie, S., Lloyd, A., Impey, R., Malone, C. S., Cogger, B. J., Levene, N., Monaghan, L., Keeley, A. J., Partridge, D. G., Raza, M., Evans, C., Johnson, K., Abnizova, I., Aigrain, L., Ali, M., Allen, L., Anderson, R., Ariani, C., Austin-Guest, S., Bala, S., Bassett, A., Battleday, K., Beal, J., Beale, M., Bellany, S., Bellerby, T., Bellis, K., Berger, D., Berriman, M., Betteridge, E., Bevan, P., Binley, S., Bishop, J., Blackburn, K., Bonfield, J., Boughton, N., Bowker, S., Brendler-Spaeth, T., Bronner, I., Brooklyn, T., Buddenborg, S. K., Bush, R., Caetano, C., Cagan, A., Carter, N., Cartwright, J., Monteiro, T. C., Chapman, L., Chillingworth, T. -J., Clapham, P., Clark, R., Clarke, A., Clarke, C., Cole, D., Cook, E., Coppola, M., Cornell, L., Cornwell, C., Corton, C., Crackett, A., Cranage, A., Craven, H., Craw, S., Crawford, M., Cutts, T., Dabrowska, M., Davies, M., Dawson, J., Day, C., Densem, A., Dibling, T., Dockree, C., Dodd, D., Dogga, S., Dougherty, M., Dove, A., Drummond, L., Dudek, M., Durrant, L., Easthope, E., Eckert, S., Ellis, P., Farr, B., Fenton, M., Ferrero, M., Flack, N., Fordham, H., Forsythe, G., Francis, M., Fraser, A., Freeman, A., Galvin, A., Garcia-Casado, M., Gedny, A., Girgis, S., Glover, J., Goodwin, S., Gould, O., Gray, A., Gray, E., Griffiths, C., Gu, Y., Guerin, F., Hamilton, W., Hanks, H., Harrison, E., Harrott, A., Harry, E., Harvison, J., Heath, P., Hernandez-Koutoucheva, A., Hobbs, R., Holland, D., Holmes, S., Hornett, G., Hough, N., Huckle, L., Hughes-Hallet, L., Hunter, A., Inglis, S., Iqbal, S., Jackson, A., Jackson, D., Verdejo, C. J., Jones, M., Kallepally, K., Kay, K., Keatley, J., Keith, A., King, A., Kitchin, L., Kleanthous, M., Klimekova, M., Korlevic, P., Krasheninnkova, K., Lane, G., Langford, C., Laverack, A., Law, K., Lensing, S., Lewis-Wade, A., Liddle, J., Lin, Q., Lindsay, S., Linsdell, S., Long, R., Lovell, J., Mack, J., Maddison, M., Makunin, A., Mamun, I., Mansfield, J., Marriott, N., Martin, M., Mayho, M., Mccarthy, S., Mcclintock, J., Mchugh, S., Mcminn, L., Meadows, C., Mobley, E., Moll, R., Morra, M., Morrow, L., Murie, K., Nash, S., Nathwani, C., Naydenova, P., Neaverson, A., Nerou, E., Nicholson, J., Nimz, T., Noell, G. G., O'Meara, S., Ohan, V., Olney, C., Ormond, D., Oszlanczi, A., Pang, Y. F., Pardubska, B., Park, N., Parmar, A., Patel, G., Payne, M., Peacock, S., Petersen, A., Plowman, D., Preston, T., Puethe, C., Quail, M., Rajan, D., Rance, R., Rawlings, S., Redshaw, N., Reynolds, J., Reynolds, M., Rice, S., Richardson, M., Roberts, C., Robinson, K., Robinson, M., Robinson, D., Rogers, H., Rojo, E. M., Roopra, D., Rose, M., Rudd, L., Sadri, R., Salmon, N., Saul, D., Schwach, F., Scott, C., Seekings, P., Shirley, L., Simms, A., Sinnott, M., Sivadasan, S., Siwek, B., Sizer, D., Skeldon, K., Skelton, J., Slater-Tunstill, J., Sloper, L., Smerdon, N., Smith, C., Smith, J., Smith, K., Smith, M., Smith, S., Smith, T., Sneade, L., Soria, C. 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J., Lackenby, A., Mbisa, T., Platt, S., Miah, S., Bibby, D., Manso, C., Hubb, J., Dabrera, G., Ramsay, M., Bradshaw, D., Schaefer, U., Groves, N., Gallagher, E., Lee, D., Williams, D., Ellaby, N., Hartman, H., Manesis, N., Patel, V., Ledesma, J., Twohig, K. A., Allara, E., Pearson, C., Cheng, J. K. J., Bridgewater, H. E., Frost, L. R., Taylor-Joyce, G., Brown, P. E., Tong, L., Broos, A., Mair, D., Nichols, J., Carmichael, S. N., Smollett, K. L., Nomikou, K., Aranday-Cortes, E., Johnson, N., Nickbakhsh, S., Vamos, E. E., Hughes, M., Rainbow, L., Eccles, R., Nelson, C., Whitehead, M., Gregory, R., Gemmell, M., Wierzbicki, C., Webster, H. J., Fisher, C. L., Signell, A. W., Betancor, G., Wilson, H. D., Nebbia, G., Flaviani, F., Cerda, A. C., Merrill, T. V., Wilson, R. E., Cotic, M., Bayzid, N., Thompson, T., Acheson, E., Rushton, S., O'Brien, S., Baker, D. J., Rudder, S., Aydin, A., Sang, F., Debebe, J., Francois, S., Vasylyeva, T. I., Zamudio, M. 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K., Medical Microbiology and Infection Prevention, AII - Infectious diseases, Collier, Dami A [0000-0001-5446-4423], Jahun, Aminu [0000-0002-4585-1701], Temperton, Nigel [0000-0002-7978-3815], Modis, Yorgo [0000-0002-6084-0429], Briggs, John AG [0000-0003-3990-6910], Goldstein, Richard A [0000-0001-5148-4672], Skittrall, Jordan P [0000-0002-8228-3758], Gkrania-Klotsas, Effrossyni [0000-0002-0930-8330], McCoy, Laura E [0000-0001-9503-7946], Gupta, Ravindra K [0000-0001-9751-1808], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Male, Time Factors, viruses, Passive, Antibodies, Viral, CITIID-NIHR BioResource COVID-19 Collaboration, 2.1 Biological and endogenous factors, Viral, Aetiology, Neutralizing, Lung, Phylogeny, neutralising antibodies, Infectivity, education.field_of_study, Genome, Multidisciplinary, Alanine, biology, High-Throughput Nucleotide Sequencing, Viral Load, Spike Glycoprotein, Virus Shedding, Adenosine Monophosphate, Aged, Antibodies, Neutralizing, COVID-19, Chronic Disease, Genome, Viral, Humans, Immune Evasion, Immune Tolerance, Immunization, Passive, Immunosuppression Therapy, Mutagenesis, Mutant Proteins, Mutation, SARS-CoV-2, Spike Glycoprotein, Coronavirus, Evolution, Molecular, Infectious Diseases, Pneumonia & Influenza, Antibody, Infection, Viral load, Biotechnology, Evolution, General Science & Technology, antibody escape, Convalescent plasma, 030106 microbiology, Population, evasion, Antibodies, Virus, Article, Vaccine Related, resistance, 03 medical and health sciences, Immune system, COVID-19 Genomics UK (COG-UK) Consortium, Biodefense, Genetics, Viral shedding, education, COVID-19 Serotherapy, QR355, Prevention, Wild type, Molecular, Pneumonia, Virology, COVID-19 Drug Treatment, Coronavirus, Emerging Infectious Diseases, Good Health and Well Being, 030104 developmental biology, biology.protein, Immunization, immune suppression, mutation
Abstract: The spike protein of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is critical for virus infection through the engagement of the human ACE2 protein1 and is a major antibody target. Here we show that chronic infection with SARS-CoV-2 leads to viral evolution and reduced sensitivity to neutralizing antibodies in an immunosuppressed individual treated with convalescent plasma, by generating whole-genome ultra-deep sequences for 23 time points that span 101 days and using in vitro techniques to characterize the mutations revealed by sequencing. There was little change in the overall structure of the viral population after two courses of remdesivir during the first 57 days. However, after convalescent plasma therapy, we observed large, dynamic shifts in the viral population, with the emergence of a dominant viral strain that contained a substitution (D796H) in the S2 subunit and a deletion (ΔH69/ΔV70) in the S1 N-terminal domain of the spike protein. As passively transferred serum antibodies diminished, viruses with the escape genotype were reduced in frequency, before returning during a final, unsuccessful course of convalescent plasma treatment. In vitro, the spike double mutant bearing both ΔH69/ΔV70 and D796H conferred modestly decreased sensitivity to convalescent plasma, while maintaining infectivity levels that were similar to the wild-type virus.The spike substitution mutant D796H appeared to be the main contributor to the decreased susceptibility to neutralizing antibodies, but this mutation resulted in an infectivity defect. The spike deletion mutant ΔH69/ΔV70 had a twofold higher level of infectivity than wild-type SARS-CoV-2, possibly compensating for the reduced infectivity of the D796H mutation. These data reveal strong selection on SARS-CoV-2 during convalescent plasma therapy, which is associated with the emergence of viral variants that show evidence of reduced susceptibility to neutralizing antibodies in immunosuppressed individuals.
Published: 2021

17. Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies

Author: Collier, D. A., De Marco, A., Ferreira, I. A. T. M., Meng, B., Datir, R. P., Walls, A. C., Kemp, S. A., Bassi, J., Pinto, D., Silacci-Fregni, C., Bianchi, S., Tortorici, M. A., Bowen, J., Culap, K., Jaconi, S., Cameroni, E., Snell, G., Pizzuto, M. S., Pellanda, A. F., Garzoni, C., Riva, A., Baker, S., Dougan, G., Hess, C., Kingston, N., Lehner, P. J., Lyons, P. A., Matheson, N. J., Owehand, W. H., Saunders, C., Summers, C., Thaventhiran, J. E. D., Toshner, M., Weekes, M. P., Bucke, A., Calder, J., Canna, L., Domingo, J., Elmer, A., Fuller, S., Harris, J., Hewitt, S., Kennet, J., Jose, S., Kourampa, J., Meadows, A., O'Brien, C., Price, J., Publico, C., Rastall, R., Ribeiro, C., Rowlands, J., Ruffolo, V., Tordesillas, H., Bullman, B., Dunmore, B. J., Fawke, S., Graf, S., Hodgson, J., Huang, C., Hunter, K., Jones, E., Legchenko, E., Matara, C., Martin, J., Mescia, F., O'Donnell, C., Pointon, L., Pond, N., Shih, J., Sutcliffe, R., Tilly, T., Treacy, C., Tong, Z., Wood, J., Wylot, M., Bergamaschi, L., Betancourt, A., Bower, G., Cossetti, C., De Sa, A., Epping, M., Grenfell, R., Hinch, A., Huhn, O., Jackson, S., Jarvis, I., Lewis, D., Marsden, J., Nice, F., Okecha, G., Omarjee, O., Perera, M., Richoz, N., Romashova, V., Yarkoni, N. S., Sharma, R., Stefanucci, L., Stephens, J., Strezlecki, M., Turner, L., De Bie, E. M. D. D., Bunclark, K., Josipovic, M., Mackay, M., Rossi, S., Selvan, M., Spencer, S., Yong, C., Ansaripour, A., Michael, A., Mwaura, L., Patterson, C., Polwarth, G., Polgarova, P., di Stefano, G., Fahey, C., Michel, R., Bong, S. -H., Coudert, J. D., Holmes, E., Allison, J., Butcher, H., Caputo, D., Clapham-Riley, D., Dewhurst, E., Furlong, A., Graves, B., Gray, J., Ivers, T., Kasanicki, M., Le Gresley, E., Linger, R., Meloy, S., Muldoon, F., Ovington, N., Papadia, S., Phelan, I., Stark, H., Stirrups, K. E., Townsend, P., Walker, N., Webster, J., Mccoy, L. E., Smith, K. G. C., Bradley, J. R., Temperton, N., Ceron-Gutierrez, L., Barcenas-Morales, G., Robson, S. C., Loman, N. J., Connor, T. R., Golubchik, T., Martinez Nunez, R. T., Ludden, C., Corden, S., Johnston, I., Bonsall, D., Smith, C. P., Awan, A. R., Bucca, G., Torok, M. E., Saeed, K., Prieto, J. A., Jackson, D. K., Hamilton, W. L., Snell, L. B., Moore, C., Harrison, E. M., Goncalves, S., Fairley, D. J., Loose, M. W., Watkins, J., Livett, R., Moses, S., Amato, R., Nicholls, S., Bull, M., Smith, D. L., Barrett, J., Aanensen, D. M., Curran, M. D., Parmar, S., Aggarwal, D., Shepherd, J. G., Parker, M. D., Glaysher, S., Bashton, M., Underwood, A. P., Pacchiarini, N., Loveson, K. F., Carabelli, A. M., Templeton, K. E., Langford, C. F., Sillitoe, J., de Silva, T. I., Wang, D., Kwiatkowski, D., Rambaut, A., O'Grady, J., Cottrell, S., Holden, M. T. G., Thomson, E. C., Osman, H., Andersson, M., Chauhan, A. J., Hassan-Ibrahim, M. O., Lawniczak, M., Alderton, A., Chand, M., Constantinidou, C., Unnikrishnan, M., Darby, A. C., Hiscox, J. A., Paterson, S., Martincorena, I., Robertson, D. L., Volz, E. M., Page, A. J., Pybus, O. G., Bassett, A. R., Ariani, C. V., Spencer Chapman, M. H., K. K., Li, Shah, R. N., Jesudason, N. G., Taha, Y., Mchugh, M. P., Dewar, R., Jahun, A. S., Mcmurray, C., Pandey, S., Mckenna, J. P., Nelson, A., Young, G. R., Mccann, C. M., Elliott, S., Lowe, H., Temperton, B., Roy, S., Price, A., Rey, S., Wyles, M., Rooke, S., Shaaban, S., de Cesare, M., Letchford, L., Silveira, S., Pelosi, E., Wilson-Davies, E., Hosmillo, M., O'Toole, A., Hesketh, A. R., Stark, R., du Plessis, L., Ruis, C., Adams, H., Bourgeois, Y., Michell, S. L., Gramatopoulos, D., Edgeworth, J., Breuer, J., Todd, J. A., Fraser, C., Buck, D., John, M., Kay, G. L., Palmer, S., Peacock, S. J., Heyburn, D., Weldon, D., Robinson, E., Mcnally, A., Muir, P., Vipond, I. B., Boyes, J., Sivaprakasam, V., Salluja, T., Dervisevic, S., Meader, E. J., Park, N. R., Oliver, K., Jeffries, A. R., Ott, S., da Silva Filipe, A., Simpson, D. A., Williams, C., Masoli, J. A. H., Knight, B. A., Jones, C. R., Koshy, C., Ash, A., Casey, A., Bosworth, A., Ratcliffe, L., Xu-McCrae, L., Pymont, H. M., Hutchings, S., Berry, L., Jones, K., Halstead, F., Davis, T., Holmes, C., Iturriza-Gomara, M., Lucaci, A. O., Randell, P. A., Cox, A., Madona, P., Harris, K. A., Brown, J. R., Mahungu, T. W., Irish-Tavares, D., Haque, T., Hart, J., Witele, E., Fenton, M. L., Liggett, S., Graham, C., Swindells, E., Collins, J., Eltringham, G., Campbell, S., Mcclure, P. C., Clark, G., Sloan, T. 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P., Turtle, L., O'Toole, E., Watts, J., Breen, C., Cowell, A., Alcolea-Medina, A., Charalampous, T., Patel, A., Levett, L. J., Heaney, J., Rowan, A., Taylor, G. P., Shah, D., Atkinson, L., Lee, J. C. D., Westhorpe, A. P., Jannoo, R., Lowe, H. L., Karamani, A., Ensell, L., Chatterton, W., Pusok, M., Dadrah, A., Symmonds, A., Sluga, G., Molnar, Z., Baker, P., Bonner, S., Essex, S., Barton, E., Padgett, D., Scott, G., Greenaway, J., Payne, B. A. I., Burton-Fanning, S., Waugh, S., Raviprakash, V., Sheriff, N., Blakey, V., Williams, L. -A., Moore, J., Stonehouse, S., Smith, L., Davidson, R. K., Bedford, L., Coupland, L., Wright, V., Chappell, J. G., Tsoleridis, T., Ball, J., Khakh, M., Fleming, V. M., Lister, M. M., Howson-Wells, H. C., Boswell, T., Joseph, A., Willingham, I., Duckworth, N., Walsh, S., Wise, E., Moore, N., Mori, M., Cortes, N., Kidd, S., Williams, R., Gifford, L., Bicknell, K., Wyllie, S., Lloyd, A., Impey, R., Malone, C. S., Cogger, B. J., Levene, N., Monaghan, L., Keeley, A. J., Partridge, D. G., Raza, M., Evans, C., Johnson, K., Betteridge, E., Farr, B. W., Goodwin, S., Quail, M. A., Scott, C., Shirley, L., Thurston, S. A. J., Rajan, D., Bronner, I. F., Aigrain, L., Redshaw, N. M., Lensing, S. V., Mccarthy, S., Makunin, A., Balcazar, C. E., Gallagher, M. D., Williamson, K. A., Stanton, T. D., Michelsen, M. L., Warwick-Dugdale, J., Manley, R., Farbos, A., Harrison, J. W., Sambles, C. M., Studholme, D. J., Lackenby, A., Mbisa, T., Platt, S., Miah, S., Bibby, D., Manso, C., Hubb, J., Dabrera, G., Ramsay, M., Bradshaw, D., Schaefer, U., Groves, N., Gallagher, E., Lee, D., Williams, D., Ellaby, N., Hartman, H., Manesis, N., Patel, V., Ledesma, J., Twohig, K. A., Allara, E., Pearson, C., Cheng, J. K. J., Bridgewater, H. E., Frost, L. R., Taylor-Joyce, G., Brown, P. E., Tong, L., Broos, A., Mair, D., Nichols, J., Carmichael, S. N., Smollett, K. L., Nomikou, K., Aranday-Cortes, E., Johnson, N., Nickbakhsh, S., Vamos, E. E., Hughes, M., Rainbow, L., Eccles, R., Nelson, C., Whitehead, M., Gregory, R., Gemmell, M., Wierzbicki, C., Webster, H. J., Fisher, C. L., Signell, A. W., Betancor, G., Wilson, H. D., Nebbia, G., Flaviani, F., Cerda, A. C., Merrill, T. V., Wilson, R. E., Cotic, M., Bayzid, N., Thompson, T., Acheson, E., Rushton, S., O'Brien, S., Baker, D. J., Rudder, S., Aydin, A., Sang, F., Debebe, J., Francois, S., Vasylyeva, T. I., Zamudio, M. E., Gutierrez, B., Marchbank, A., Maksimovic, J., Spellman, K., Mccluggage, K., Morgan, M., Beer, R., Afifi, S., Workman, T., Fuller, W., Bresner, C., Angyal, A., Green, L. R., Parsons, P. J., Tucker, R. M., Brown, R., Whiteley, M., Bonfield, J., Puethe, C., Whitwham, A., Liddle, J., Rowe, W., Siveroni, I., Le-Viet, T., Gaskin, A., Johnson, R., Abnizova, I., Ali, M., Allen, L., Anderson, R., Ariani, C., Austin-Guest, S., Bala, S., Bassett, A., Battleday, K., Beal, J., Beale, M., Bellany, S., Bellerby, T., Bellis, K., Berger, D., Berriman, M., Bevan, P., Binley, S., Bishop, J., Blackburn, K., Boughton, N., Bowker, S., Brendler-Spaeth, T., Bronner, I., Brooklyn, T., Buddenborg, S. K., Bush, R., Caetano, C., Cagan, A., Carter, N., Cartwright, J., Monteiro, T. C., Chapman, L., Chillingworth, T. -J., Clapham, P., Clark, R., Clarke, A., Clarke, C., Cole, D., Cook, E., Coppola, M., Cornell, L., Cornwell, C., Corton, C., Crackett, A., Cranage, A., Craven, H., Craw, S., Crawford, M., Cutts, T., Dabrowska, M., Davies, M., Dawson, J., Day, C., Densem, A., Dibling, T., Dockree, C., Dodd, D., Dogga, S., Dougherty, M., Dove, A., Drummond, L., Dudek, M., Durrant, L., Easthope, E., Eckert, S., Ellis, P., Farr, B., Fenton, M., Ferrero, M., Flack, N., Fordham, H., Forsythe, G., Francis, M., Fraser, A., Freeman, A., Galvin, A., Garcia-Casado, M., Gedny, A., Girgis, S., Glover, J., Gould, O., Gray, A., Gray, E., Griffiths, C., Gu, Y., Guerin, F., Hamilton, W., Hanks, H., Harrison, E., Harrott, A., Harry, E., Harvison, J., Heath, P., Hernandez-Koutoucheva, A., Hobbs, R., Holland, D., Holmes, S., Hornett, G., Hough, N., Huckle, L., Hughes-Hallet, L., Hunter, A., Inglis, S., Iqbal, S., Jackson, A., Jackson, D., Verdejo, C. J., Jones, M., Kallepally, K., Kay, K., Keatley, J., Keith, A., King, A., Kitchin, L., Kleanthous, M., Klimekova, M., Korlevic, P., Krasheninnkova, K., Lane, G., Langford, C., Laverack, A., Law, K., Lensing, S., Lewis-Wade, A., Lin, Q., Lindsay, S., Linsdell, S., Long, R., Lovell, J., Mack, J., Maddison, M., Mamun, I., Mansfield, J., Marriott, N., Martin, M., Mayho, M., Mcclintock, J., Mchugh, S., Mcminn, L., Meadows, C., Mobley, E., Moll, R., Morra, M., Morrow, L., Murie, K., Nash, S., Nathwani, C., Naydenova, P., Neaverson, A., Nerou, E., Nicholson, J., Nimz, T., Noell, G. G., O'Meara, S., Ohan, V., Olney, C., Ormond, D., Oszlanczi, A., Pang, Y. F., Pardubska, B., Park, N., Parmar, A., Patel, G., Payne, M., Peacock, S., Petersen, A., Plowman, D., Preston, T., Quail, M., Rance, R., Rawlings, S., Redshaw, N., Reynolds, J., Reynolds, M., Rice, S., Richardson, M., Roberts, C., Robinson, K., Robinson, M., Robinson, D., Rogers, H., Rojo, E. M., Roopra, D., Rose, M., Rudd, L., Sadri, R., Salmon, N., Saul, D., Schwach, F., Seekings, P., Simms, A., Sinnott, M., Sivadasan, S., Siwek, B., Sizer, D., Skeldon, K., Skelton, J., Slater-Tunstill, J., Sloper, L., Smerdon, N., Smith, C., Smith, J., Smith, K., Smith, M., Smith, S., Smith, T., Sneade, L., Soria, C. D., Sousa, C., Souster, E., Sparkes, A., Spencer-Chapman, M., Squares, J., Steed, C., Stickland, T., Still, I., Stratton, M., Strickland, M., Swann, A., Swiatkowska, A., Sycamore, N., Swift, E., Symons, E., Szluha, S., Taluy, E., Tao, N., Taylor, K., Thompson, S., Thompson, M., Thomson, M., Thomson, N., Thurston, S., Toombs, D., Topping, B., Tovar-Corona, J., Ungureanu, D., Uphill, J., Urbanova, J., Van, P. J., Vancollie, V., Voak, P., Walker, D., Walker, M., Waller, M., Ward, G., Weatherhogg, C., Webb, N., Wells, A., Wells, E., Westwood, L., Whipp, T., Whiteley, T., Whitton, G., Widaa, S., Williams, M., Wilson, M., Wright, S., Harvey, W., Virgin, H. W., Lanzavecchia, A., Piccoli, L., Doffinger, R., Wills, M., Veesler, D., Corti, D., and Gupta, R. K.
Subjects: 0301 basic medicine, Male, Models, Molecular, Passive, Antibodies, Viral, Neutralization, 0302 clinical medicine, Models, Monoclonal, 80 and over, Viral, Neutralizing antibody, Neutralizing, Aged, 80 and over, Vaccines, Vaccines, Synthetic, Multidisciplinary, biology, Antibodies, Monoclonal, C500, Middle Aged, C700, Spike Glycoprotein, Vaccination, Spike Glycoprotein, Coronavirus, Female, Angiotensin-Converting Enzyme 2, Antibody, Aged, Antibodies, Neutralizing, COVID-19, COVID-19 Vaccines, HEK293 Cells, Humans, Immune Evasion, Immunization, Passive, Mutation, Neutralization Tests, SARS-CoV-2, medicine.drug_class, B100, Monoclonal antibody, Antibodies, Virus, 03 medical and health sciences, Immune system, medicine, COVID-19 Serotherapy, QR355, Synthetic, Molecular, Virology, Coronavirus, 030104 developmental biology, Immunization, biology.protein, 030217 neurology & neurosurgery
Abstract: Transmission of SARS-CoV-2 is uncontrolled in many parts of the world; control is compounded in some areas by the higher transmission potential of the B.1.1.7 variant1, which has now been reported in 94 countries. It is unclear whether the response of the virus to vaccines against SARS-CoV-2 on the basis of the prototypic strain will be affected by the mutations found in B.1.1.7. Here we assess the immune responses of individuals after vaccination with the mRNA-based vaccine BNT162b22. We measured neutralizing antibody responses after the first and second immunizations using pseudoviruses that expressed the wild-type spike protein or a mutated spike protein that contained the eight amino acid changes found in the B.1.1.7 variant. The sera from individuals who received the vaccine exhibited a broad range of neutralizing titres against the wild-type pseudoviruses that were modestly reduced against the B.1.1.7 variant. This reduction was also evident in sera from some patients who had recovered from COVID-19. Decreased neutralization of the B.1.1.7 variant was also observed for monoclonal antibodies that target the N-terminal domain (9 out of 10) and the receptor-binding motif (5 out of 31), but not for monoclonal antibodies that recognize the receptor-binding domain that bind outside the receptor-binding motif. Introduction of the mutation that encodes the E484K substitution in the B.1.1.7 background to reflect a newly emerged variant of concern (VOC 202102/02) led to a more-substantial loss of neutralizing activity by vaccine-elicited antibodies and monoclonal antibodies (19 out of 31) compared with the loss of neutralizing activity conferred by the mutations in B.1.1.7 alone. The emergence of the E484K substitution in a B.1.1.7 background represents a threat to the efficacy of the BNT162b2 vaccine.
Published: 2021

18. An integrated national scale SARS-CoV-2 genomic surveillance network

Author: Aanensen, DM, Abudahab, K, Adams, A, Afifi, S, Alam, MT, Alderton, A, Alikhan, N-F, Allan, J, Almsaud, M, Alrezaihi, A, Alruwaili, M, Amato, R, Andersson, M, Angyal, A, Aranday-Cortes, E, Ariani, C, Armstrong, SD, Asamaphan, P, Attwood, S, Aydin, A, Badhan, A, Baker, D, Baker, P, Balcazar, CE, Ball, J, Barton, AE, Bashton, M, Baxter, L, Beale, M, Beaver, C, Beckett, A, Beer, R, Beggs, A, Bell, A, Bellis, KL, Bentley, EG, Berriman, M, Betteridge, E, Bibby, D, Bicknell, K, Birchley, A, Black, G, Blane, B, Bloomfield, S, Bolt, F, Bonsall, DG, Bosworth, A, Bourgeois, Y, Boyd, O, Bradshaw, D, Breuer, J, Bridgewater, H, Brooks, T, Broos, A, Brown, JR, Brown, RL, Brunker, K, Bucca, G, Buck, D, Bull, M, Butcher, E, Caddy, SL, Caller, LG, Cambell, S, Carlile, M, Carmichael, S, Carrilero, L, Castellano, S, Chaloner, J, Chand, M, Chapman, MR, Chappell, J, Charles, I, Chauhan, AJ, Chawla, A, Cheng, E, Churcher, CM, Clark, G, Clark, JJ, Collins, J, Colquhoun, R, Connor, TR, Constantinidou, C, Coombes, J, Corden, S, Cottrell, S, Cowell, A, Curran, MD, Curran, T, Dabrera, G, Danesh, J, Darby, AC, De Cesare, M, Martins, LDO, De Silva, TI, Debebe, B, Dervisevic, S, Dewar, RA, Dia, M, Dorman, M, Dougan, G, Dover, L, Downing, F, Drury, E, Du Plessis, L, Dyal, PL, Eccles, R, Edwards, S, Ellaby, N, Elliott, S, Eltringham, G, Elumogo, N, Essex, S, Evans, CM, Evans, J, Nascimento, FF, Fairley, DJ, Farr, B, Feltwell, T, Ferguson, N, Filipe, ADS, Findlay, J, Forrest, LM, Forrest, S, Foulser, L, Francois, S, Fraser, C, Frost, L, Gallagher, E, Gallagher, MD, Garcia-Dorival, I, Gaskin, A, Gatica-Wilcox, B, Gavriil, A, Geidelberg, L, Gemmell, M, Gerada, A, Gifford, L, Gilbert, L, Gilmore, P, Gilroy, R, Girgis, S, Glaysher, S, Golubchik, T, Goncalves, S, Goodfellow, I, Goodwin, S, Graham, C, Graham, L, Grammatopoulos, D, Green, A, Green, LR, Greenaway, J, Gregory, R, Groves, DC, Groves, N, Guest, M, Gunson, R, Haldenby, S, Hall, G, Hamilton, WL, Han, X, Harris, KA, Harrison, EM, Hartley, C, Herrera, C, Hesketh, A, Heyburn, D, Hill, V, Hiscox, JA, Holden, M, Holmes, A, Holmes, N, Holt, GS, Hopes, R, Hosmillo, M, Houldcroft, CJ, Howson-Wells, H, Hubb, J, Hughe, J, Hughes, M, Hutchings, S, Impey, R, Iturriza-Gomara, M, Jackson, A, Jackson, B, Jackson, DK, Jahun, AS, James, K, Jamrozy, D, Jeffries, A, Jesudason, N, John, M, Johnson, J, Johnson, KJ, Johnson, N, Johnston, I, Jones, B, Jones, R, Jones, S, Jorgensen, D, Kane, L, Kay, GL, Kay, S, Keatley, J-P, Keeley, AJ, Khakh, M, Khokhar, FA, Kitchen, C, Knight, B, Kolyva, A, Kraemer, M, Kristiansen, M, Kumziene-Summerhayes, S, Kwiatkowski, D, Lackenby, A, Langford, C, Lawniczak, M, Thanh, L-V, Lee, D, Letchford, L, Li, K, Li, L, Liggett, S, Lindsey, BB, Livett, R, Lloyd, A, Lo, S, Lockhart, M, Loh, J, Loman, NJ, Loose, M, Lucaci, A, Ludden, C, Luu, L, Lyons, RA, MacIntyre-Cockett, G, MacLean, A, Mair, D, Maksimovic, J, Manley, R, Manso, C, Manson, J, Martincorena, I, Masoli, J, Mather, AE, Mbisa, T, McCluggage, K, McClure, P, McCrone, JT, McDonald, S, McHugh, MP, McKenna, JM, McMinn, L, McMurray, C, Meadows, L, Menegazzo, M, Meredith, LW, Merrick, I, Mestek-Boukhibar, L, Miah, S, Michell, S, Michelsen, ML, Molnar, Z, Moore, C, Moore, N, Morgan, M, Morgan, S, Muddyman, D, Muir, DA, Muir, P, Myers, R, Nastouli, E, Naydenova, P, Nelson, A, Nelson, C, Nelson, R, Nicholls, S, Nichols, J, Niebel, M, Niola, P, Nomikou, K, O'Grady, J, O'Toole, AN, O'Toole, E, Olateju, C, Orton, RJ, Osman, H, Ott, S, Pacchiarini, N, Padgett, D, Page, AJ, Palmer, S, Panchbhaya, YN, Pandey, S, Park, N, Parker, MD, Parkhill, J, Parr, YA, Parsons, PJ, Partridge, DG, Patel, M, Patterson, S, Payne, B, Peacock, SJ, Penrice-Randal, R, Perry, M, Platt, S, Poplawski, R, Prakash, R, Prestwood, L, Price, A, Price, JR, Puethe, C, Pybus, O, Pymont, H, Quail, M, Quick, J, Raghwani, J, Ragonnet-Cronin, M, Rahman, S, Rainbow, L, Rajatileka, S, Rambaut, A, Ramsay, M, Randell, PA, Randle, NP, Raviprakash, V, Raza, M, Silva, PR, Rey, S, Richter, A, Robertson, DL, Robinson, TI, Robson, SC, Rooke, S, Rowan, A, Rowe, W, Roy, S, Rudder, S, Ruis, C, Sang, F, Scarlett, G, Schaefer, U, Scott, C, Scott, G, Sethi, D, Shaaban, S, Shah, R, Sharma, P, Shawli, GT, Shepherd, J, Sherriff, N, Shirley, L, Sillitoe, J, Simpson, DA, Singer, JB, Siveroni, I, Smith, C, Smith, CP, Smith, DL, Smith, N, Smith, W, Smith-Palmer, A, Smollett, K, Southgate, J, Spellman, K, Spencer-Chapman, M, Sridhar, S, Stanley, R, Stark, R, Stewart, JP, Stockton, J, Stuart, C, Studholme, D, Swainston, N, Swindells, E, Taha, Y, Tariq, MA, Taylor, B, Taylor, GP, Taylor, S, Taylor-Joyce, G, Tedim, AP, Temperton, B, Templeton, KE, Thomson, EC, Thomson, NM, Thornton, A, Thurston, S, Todd, J, Tong, L, Tonkin-Hill, G, Torok, ME, Trebes, A, Trotter, AJ, Tsoleridis, T, Tucker, RM, Tutill, HJ, Underwood, A, Unnikrishnan, M, Vamos, E, Vasylyeva, T, Vattipally, S, Victoria, A, Vipond, B, Volz, EM, Wain, J, Wang, D, Warwick-Dugdale, J, Wastnedge, E, Watkins, J, Watts, J, Webber, M, Weeks, S, Weldon, D, Whitehead, M, Williams, CA, Williams, C, Williams, D, Williams, R, Williams, TC, Wise, E, Wright, V, Wyles, MD, Wyllie, S, Yakovleva, A, Yasir, M, Yeats, C, Yew, WC, Young, GR, Yu, X, and Zarebski, A
Subjects: Microbiology (medical), Scale (ratio), SARS-CoV-2, viruses, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), COVID-19, COVID-19 Genomics UK (COG-UK) consortiumcontact@cogconsortium.uk, C500, Genome, Viral, Genomics, Biology, C700, Microbiology, Article, Infectious Diseases, Virology, Humans, Cartography
Abstract: The Coronavirus Disease 2019 (COVID-19) Genomics UK Consortium (COG-UK) was launched in March, 2020, with £20 million support from UK Research and Innovation, the UK Department of Health and Social Care, and Wellcome Trust. The goal of this consortium is to sequence severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) for up to 230 000 patients, health-care workers, and other essential workers in the UK with COVID-19, which will help to enable the tracking of SARS-CoV-2 transmission, identify viral mutations, and integrate with health data to assess how the viral genome interacts with cofactors and consequences of COVID-19.
Published: 2020
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18 results on '"Du Plessis, L."'

1. Disruption of seasonal influenza circulation and evolution during the 2009 H1N1 and COVID-19 pandemics in Southeastern Asia.

2. Genomic epidemiology of early SARS-CoV-2 transmission dynamics in Bangladesh.

3. COVID-19 pandemic interventions reshaped the global dispersal of seasonal influenza viruses.

4. High-resolution epidemiological landscape from ~290,000 SARS-CoV-2 genomes from Denmark.

5. How much should we sequence? An analysis of the Swiss SARS-CoV-2 surveillance effort.

6. Swiss public health measures associated with reduced SARS-CoV-2 transmission using genome data.

7. Context-specific emergence and growth of the SARS-CoV-2 Delta variant.

8. Genomic Epidemiology of Early SARS-CoV-2 Transmission Dynamics, Gujarat, India.

9. Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa.

10. Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission.

11. Purifying Selection Determines the Short-Term Time Dependency of Evolutionary Rates in SARS-CoV-2 and pH1N1 Influenza.

12. Spatiotemporal invasion dynamics of SARS-CoV-2 lineage B.1.1.7 emergence.

13. Addendum: A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology.

14. Establishment and lineage dynamics of the SARS-CoV-2 epidemic in the UK.

15. SARS-CoV-2 lineage dynamics in England from September to November 2021: high diversity of Delta sub-lineages and increased transmissibility of AY.4.2

16. SARS-CoV-2 evolution during treatment of chronic infection

17. Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies

18. An integrated national scale SARS-CoV-2 genomic surveillance network

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18 results on '"Du Plessis, L."'

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