2023

Recknagel, H. , Harvey, W., Layton, M. and Elmer, K. R. (2023) Common lizard microhabitat selection varies by sex, parity mode, and colouration. BMC Ecology and Evolution, 23(1), 47. (doi: 10.1186/s12862-023-02158-2) (PMID:37667183) (PMCID:PMC10478496)

Carabelli, A. M., Peacock, T. P., Thorne, L. G., Harvey, W. T., Hughes, J. , Peacock, S. J., Barclay, W. S., de Silva, T. I., Towers, G. J. and Robertson, D. L. (2023) SARS-CoV-2 variant biology: immune escape, transmission and fitness. Nature Reviews Microbiology, 21(3), pp. 162-177. (doi: 10.1038/s41579-022-00841-7) (PMID:36653446) (PMCID:PMC9847462)

Harvey, W. T., Davies, V. , Daniels, R. S., Whittaker, L., Gregory, V., Hay, A. J., Husmeier, D. , McCauley, J. W. and Reeve, R. (2023) A Bayesian approach to incorporate structural data into the mapping of genotype to antigenic phenotype of influenza A(H3N2) viruses. PLoS Computational Biology, 19(3), e1010885. (doi: 10.1371/journal.pcbi.1010885) (PMID:36972311) (PMCID:PMC10079231)

Cox, M. et al. (2023) SARS-CoV-2 variant evasion of monoclonal antibodies based on in vitro studies. Nature Reviews Microbiology, 21(2), pp. 112-124. (doi: 10.1038/s41579-022-00809-7) (PMID:36307535) (PMCID:PMC9616429)

Manali, M. et al. (2023) SARS-CoV-2 evolution and patient immunological history shape the breadth and potency of antibody-mediated immunity. Journal of Infectious Diseases, 227(1), pp. 40-49. (doi: 10.1093/infdis/jiac332) (PMID:35920058) (PMCID:PMC9384671)

Iannucci, S., Harvey, W. T., Hughes, J. , Robertson, D. L. , Poyade, M. and Hutchinson, E. (2023) The SARS-CoV-2 Spike Protein Mutation Explorer: using an interactive application to improve the public understanding of SARS-CoV-2 variants of concern. Journal of Visual Communication in Medicine, 46(3), pp. 122-132. (doi: 10.1080/17453054.2023.2237087) (PMID:37526402) (PMCID:PMC10726978)

2022

Willett, B. J. et al. (2022) Publisher Correction: SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway. Nature Microbiology, 7, 1709. (doi: 10.1038/s41564-022-01241-6) (PMID:36114232) (PMCID:PMC9483304)

Iannucci, S., Harvey, W., Hughes, J. , Robertson, D. L. , Hutchinson, E. and Poyade, M. (2022) Using molecular visualisation techniques to explain the molecular biology of SARS-CoV-2 spike protein mutations to a general audience. In: Shapiro, L. and Rea, P. M. (eds.) Biomedical Visualisation. Volume 12. Series: Advances in experimental medicine and biology (1388). Springer: Cham, pp. 129-152. ISBN 9783031108884 (doi: 10.1007/978-3-031-10889-1_6)

Willett, B. J. et al. (2022) SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway. Nature Microbiology, 7(8), pp. 1161-1179. (doi: 10.1038/s41564-022-01143-7) (PMID:35798890) (PMCID:PMC9352574)

Zhou, J. et al. (2022) Mutations that adapt SARS-CoV-2 to mink or ferret do not increase fitness in the human airway. Cell Reports, 38(6), 110344. (doi: 10.1016/j.celrep.2022.110344) (PMID:35093235) (PMCID:PMC8768428)

Forde, T. L. et al. (2022) Population genomics of Bacillus anthracis from an anthrax hyperendemic area reveals transmission processes across spatial scales and unexpected within-host diversity. Microbial Genomics, 8(2), 000759. (doi: 10.1099/mgen.0.000759) (PMID:35188453) (PMCID:PMC8942019)

Wright, D. W. et al. (2022) Tracking SARS-CoV-2 mutations and variants through the COG-UK-Mutation Explorer. Virus Evolution, 8(1), veac023. (doi: 10.1093/ve/veac023) (PMID:35502202) (PMCID:PMC9037374)

2021

Vöhringer, H. S. et al. (2021) Genomic reconstruction of the SARS-CoV-2 epidemic in England. Nature, 600(7889), pp. 506-511. (doi: 10.1038/s41586-021-04069-y) (PMID:34649268) (PMCID:PMC8674138)

Davis, C. et al. (2021) Reduced neutralisation of the Delta (B.1.617.2) SARS-CoV-2 variant of concern following vaccination. PLoS Pathogens, 17(12), e1010022. (doi: 10.1371/journal.ppat.1010022) (PMID:34855916) (PMCID:PMC8639073)

Harvey, W. T. et al. (2021) SARS-CoV-2 variants, spike mutations and immune escape. Nature Reviews Microbiology, 19(7), pp. 409-424. (doi: 10.1038/s41579-021-00573-0) (PMID:34075212) (PMCID:PMC8167834)

Meng, B. et al. (2021) Recurrent emergence of SARS-CoV-2 spike deletion H69/V70 and its role in the variant of concern lineage B.1.1.7. Cell Reports, 35(13), 109292. (doi: 10.1016/j.celrep.2021.109292) (PMID:34166617) (PMCID:PMC8185188)

Collier, D. A. et al. (2021) Sensitivity of SARS-CoV-2 B.1.1.7 to mRNA vaccine-elicited antibodies. Nature, 593(7857), pp. 136-141. (doi: 10.1038/s41586-021-03412-7) (PMID:33706364)

Peacock, T. P., Sealy, J. E., Harvey, W. T., Benton, D. J., Reeve, R. and Iqbal, M. (2021) Genetic determinants of receptor-binding preference and zoonotic potential of H9N2 avian influenza viruses. Journal of Virology, 95(5), e01651-20. (doi: 10.1128/JVI.01651-20) (PMID:33268517) (PMCID:PMC8092835)

Harvey, W. T., Mulatti, P., Fusaro, A., Scolamacchia, F., Zecchin, B., Monne, I. and Marangon, S. (2021) Spatiotemporal reconstruction and transmission dynamics during the 2016-17 H5N8 highly pathogenic avian influenza epidemic in Italy. Transboundary and Emerging Diseases, 68(1), pp. 37-50. (doi: 10.1111/tbed.13420) (PMID:31788978)

Scolamacchia, F., Mulatti, P., Mazzucato, M., Barbujani, M., Harvey, W. T., Fusaro, A., Monne, I. and Marangon, S. (2021) Different environmental gradients associated to the spatiotemporal and genetic pattern of the H5N8 highly pathogenic avian influenza outbreaks in poultry in Italy. Transboundary and Emerging Diseases, 68(1), pp. 152-167. (doi: 10.1111/tbed.13661) (PMID:32613724)

2020

Maake, L., Harvey, W., Rotherham, L., Opperman, P. A., Theron, J., Reeve, R. and Maree, F. F. (2020) Genetic basis of antigenic variation of SAT3 foot-and-mouth disease virus. Frontiers in Veterinary Science, 7, 568. (doi: 10.3389/fvets.2020.00568) (PMID:33102544) (PMCID:PMC7506032)

Forde, T. L. , Kollanandi Ratheesh, N., Harvey, W. T., Thomson, J. R., Williamson, S., Biek, R. and Opriessnig, T. (2020) Genomic and immunogenic protein diversity of Erysipelothrix rhusiopathiae isolated from pigs in Great Britain: implications for vaccine protection. Frontiers in Microbiology, 11, 418. (doi: 10.3389/fmicb.2020.00418) (PMID:32231655) (PMCID:PMC7083082)

2019

Davies, V. , Harvey, W. T., Reeve, R. and Husmeier, D. (2019) Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68(4), pp. 859-885. (doi: 10.1111/rssc.12338) (PMID:31598013) (PMCID:PMC6774336)

2018

Peacock, T. P., Harvey, W. T., Sadeyen, J.-R., Reeve, R. and Iqbal, M. (2018) The molecular basis of antigenic variation among A(H9N2) avian influenza viruses. Emerging Microbes and Infections, 7, 176. (doi: 10.1038/s41426-018-0178-y) (PMID:30401826) (PMCID:PMC6220119)

2017

Goldstein, E. J., Harvey, W. T., Wilkie, G. S., Shepherd, S. J., MacLean, A. R., Murcia, P. R. and Gunson, R. N. (2017) Integrating patient and whole-genome sequencing data to provide insights into the epidemiology of seasonal influenza A(H3N2) viruses. Microbial Genomics, 4, (doi: 10.1099/mgen.0.000137) (PMID:29310750) (PMCID:PMC5857367)

Davies, V. , Reeve, R. , Harvey, W. T., Maree, F. F. and Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. Computational Statistics, 32(3), pp. 803-843. (doi: 10.1007/s00180-017-0730-6)

2016

Harvey, W. T., Benton, D. J., Gregory, V., Hall, J. P.J., Daniels, R. S., Bedford, T., Haydon, D. T. , Hay, A. J., McCauley, J. W. and Reeve, R. (2016) Identification of low- and high-impact hemagglutinin amino acid substitutions that drive antigenic drift of influenza A(H1N1) viruses. PLoS Pathogens, 12(4), e1005526. (doi: 10.1371/journal.ppat.1005526) (PMID:27057693) (PMCID:PMC4825936)

Davies, V. , Reeve, R. , Harvey, W. T. and Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability. In: Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers. Series: Lecture Notes in Computer Science (9874). Springer, pp. 14-27. ISBN 9783319443317 (doi: 10.1007/978-3-319-44332-4_2)

Reeve, R. et al. (2016) Tracking the antigenic evolution of foot-and-mouth disease virus. PLoS ONE, 11(7), e0159360. (doi: 10.1371/journal.pone.0159360) (PMID:27448206) (PMCID:PMC4957747)

2014

Davies, V. , Reeve, R. , Harvey, W., Maree, F. and Husmeier, D. (2014) Sparse Bayesian variable selection for the identification of antigenic variability in the Foot-and-Mouth disease virus. Proceedings of Machine Learning Research, 33, pp. 149-158.