Search

Your search keyword '"Mather AE"' showing total 7 results
Start Over Author "Mather AE" Topic humans
7 results on '"Mather AE"'

1. Distinguishable Epidemics of Multidrug-Resistant Salmonella Typhimurium DT104 in Different Hosts

Author

Mather, AE, Reid, SWJ, Maskell, DJ, Parkhill, J, Fookes, MC, Harris, SR, Brown, DJ, Coia, JE, Mulvey, MR, Gilmour, MW, Petrovska, L, de Pinna, E, Kuroda, M, Akiba, M, Izumiya, H, Connor, TR, Suchard, MA, Lemey, P, Mellor, DJ, Haydon, DT, and Thomson, NR

Subjects
Prevention, Infectious Diseases, Genetics, Digestive Diseases, Human Genome, Vaccine Related, Emerging Infectious Diseases, Antimicrobial Resistance, Biodefense, 2.2 Factors relating to the physical environment, Aetiology, Infection, Animals, Drug Resistance, Multiple, Bacterial, Epidemics, Genome, Bacterial, Host-Pathogen Interactions, Humans, Molecular Sequence Data, Phylogeny, Salmonella Infections, Salmonella Infections, Animal, Salmonella typhimurium, Zoonoses, General Science & Technology
Abstract

The global epidemic of multidrug-resistant Salmonella Typhimurium DT104 provides an important example, both in terms of the agent and its resistance, of a widely disseminated zoonotic pathogen. Here, with an unprecedented national collection of isolates collected contemporaneously from humans and animals and including a sample of internationally derived isolates, we have used whole-genome sequencing to dissect the phylogenetic associations of the bacterium and its antimicrobial resistance genes through the course of an epidemic. Contrary to current tenets supporting a single homogeneous epidemic, we demonstrate that the bacterium and its resistance genes were largely maintained within animal and human populations separately and that there was limited transmission, in either direction. We also show considerable variation in the resistance profiles, in contrast to the largely stable bacterial core genome, which emphasizes the critical importance of integrated genotypic data sets in understanding the ecology of bacterial zoonoses and antimicrobial resistance.

Published
2013

2. 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

3. 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

4. Genomic landscape of extended-spectrum β-lactamase resistance in $\textit{Escherichia coli}$ from an urban African setting

Author

Musicha, P, Feasey, NA, Cain, AK, Kallonen, T, Chaguza, C, Peno, C, Khonga, M, Thompson, S, Gray, KJ, Mather, AE, Heyderman, RS, Everett, DB, Thomson, NR, Msefula, CL, and Apollo - University of Cambridge Repository

Subjects
Adult, Male, Malawi, Adolescent, Urban Population, Genetic Variation, Genomics, Microbial Sensitivity Tests, beta-Lactam Resistance, beta-Lactamases, Young Adult, Chloramphenicol, Genes, Bacterial, Child, Preschool, Drug Resistance, Multiple, Bacterial, Escherichia coli, Humans, Female, Child, Escherichia coli Infections, Phylogeny, Multilocus Sequence Typing
Abstract

$\textbf{Objectives}$: Efforts to treat $\textit{Escherichia coli}$ infections are increasingly being compromised by the rapid, global spread of antimicrobial resistance (AMR). Whilst AMR in E. coli has been extensively investigated in resource-rich settings, in sub-Saharan Africa molecular patterns of AMR are not well described. In this study, we have begun to explore the population structure and molecular determinants of AMR amongst $\textit{E. coli}$ isolates from Malawi. $\textbf{Methods}$: Ninety-four $\textit{E. coli}$ isolates from patients admitted to Queen's Hospital, Malawi, were whole-genome sequenced. The isolates were selected on the basis of diversity of phenotypic resistance profiles and clinical source of isolation (blood, CSF and rectal swab). Sequence data were analysed using comparative genomics and phylogenetics. $\textbf{Results}$: Our results revealed the presence of five clades, which were strongly associated with $\textit{E. coli}$ phylogroups A, B1, B2, D and F. We identified 43 multilocus STs, of which ST131 (14.9%) and ST12 (9.6%) were the most common. We identified 25 AMR genes. The most common ESBL gene was bla CTX-M-15 and it was present in all five phylogroups and 11 STs, and most commonly detected in ST391 (4/4 isolates), ST648 (3/3 isolates) and ST131 [3/14 (21.4%) isolates]. $\textbf{Conclusions}$: This study has revealed a high diversity of lineages associated with AMR, including ESBL and fluoroquinolone resistance, in Malawi. The data highlight the value of longitudinal bacteraemia surveillance coupled with detailed molecular epidemiology in all settings, including low-income settings, in describing the global epidemiology of ESBL resistance.

Published
2017

5. Global and regional dissemination and evolution of $\textit{Burkholderia pseudomallei}$

Author

Chewapreecha, C, Holden, MTG, Vehkala, M, Välimäki, N, Yang, Z, Harris, SR, Mather, AE, Tuanyok, A, De Smet, B, Le Hello, S, Bizet, C, Mayo, M, Wuthiekanun, V, Limmathurotsakul, D, Phetsouvanh, R, Spratt, BG, Corander, J, Keim, P, Dougan, G, Dance, DAB, Currie, BJ, Parkhill, J, Peacock, SJ, Dougan, Gordon [0000-0003-0022-965X], Parkhill, Julian [0000-0002-7069-5958], Peacock, Sharon [0000-0002-1718-2782], and Apollo - University of Cambridge Repository

Subjects
DNA, Bacterial, Asia, Burkholderia pseudomallei, Virulence, Asia, Eastern, Australia, Malaysia, Sequence Analysis, DNA, Evolution, Molecular, Melioidosis, Animals, Humans, Americas, Asia, Southeastern
Abstract

The environmental bacterium $\textit{Burkholderia pseudomallei}$ causes an estimated 165,000 cases of human melioidosis per year worldwide and is also classified as a biothreat agent. We used whole genome sequences of 469 $\textit{B. pseudomallei}$isolates from 30 countries collected over 79 years to explore its geographic transmission. Our data point to Australia as an early reservoir, with transmission to Southeast Asia followed by onward transmission to South Asia and East Asia. Repeated reintroductions were observed within the Malay Peninsula and between countries bordered by the Mekong River. Our data support an African origin of the Central and South American isolates with introduction of B. pseudomallei into the Americas between 1650 and 1850, providing a temporal link with the slave trade. We also identified geographically distinct genes/variants in Australasian or Southeast Asian isolates alone, with virulence-associated genes being among those over-represented. This provides a potential explanation for clinical manifestations of melioidosis that are geographically restricted.

Published
2017
Full Text
View/download PDF

6. Genomic variations leading to alterations in cell morphology of $\textit{Campylobacter}$ spp

Author

Esson, D, Mather, AE, Scanlan, E, Gupta, S, de Vries, SPW, Bailey, D, Harris, SR, McKinley, TJ, Méric, G, Berry, SK, Mastroeni, P, Sheppard, SK, Christie, G, Thomson, NR, Parkhill, J, Maskell, DJ, Grant, AJ, de Vries, Stefan [0000-0002-0823-208X], Berry, Sophia [0000-0002-2184-1074], Mastroeni, Pietro [0000-0003-3838-4962], Christie, Graham [0000-0001-7177-9646], Parkhill, Julian [0000-0002-7069-5958], Maskell, Duncan [0000-0002-5065-653X], Grant, Andrew [0000-0001-9746-2989], and Apollo - University of Cambridge Repository

Subjects
Whole Genome Sequencing, education, Campylobacter coli, Gene Expression Regulation, Bacterial, Peptidoglycan, Campylobacter jejuni, Bacterial Proteins, Campylobacter Infections, Mutation, DNA Transposable Elements, Mutagenesis, Site-Directed, Animals, Humans, Chickens, health care economics and organizations, Genome, Bacterial, Poultry Diseases, Gene Library
Abstract

$\textit{Campylobacter jejuni}$, the most common cause of bacterial diarrhoeal disease, is normally helical. However, it can also adopt straight rod, elongated helical and coccoid forms. Studying how helical morphology is generated, and how it switches between its different forms, is an important objective for understanding this pathogen. Here, we aimed to determine the genetic factors involved in generating the helical shape of $\textit{Campylobacter}$. A C. $\textit{jejuni}$ transposon (Tn) mutant library was screened for non-helical mutants with inconsistent results. Whole genome sequence variation and morphological trends within this Tn library, and in various C. $\textit{jejuni}$ wild type strains, were compared and correlated to detect genomic elements associated with helical and rod morphologies. All rod-shaped C. $\textit{jejuni}$ Tn mutants and all rod-shaped laboratory, clinical and environmental C. $\textit{jejuni}$ and $\textit{Campylobacter coli}$ contained genetic changes within the $\textit{pgp1}$ or $\textit{pgp2}$ genes, which encode peptidoglycan modifying enzymes. We therefore confirm the importance of Pgp1 and Pgp2 in the maintenance of helical shape and extended this to a wide range of C. $\textit{jejuni}$ and C. $\textit{coli}$ isolates. Genome sequence analysis revealed variation in the sequence and length of homopolymeric tracts found within these genes, providing a potential mechanism of phase variation of cell shape.

Published
2017
Full Text
View/download PDF

7. Distinct Salmonella Enteritidis lineages associated with enterocolitis in high-income settings and invasive disease in low-income settings

Author

Feasey, NA, Hadfield, J, Keddy, KH, Dallman, TJ, Jacobs, J, Deng, X, Wigley, P, Barquist Barquist, L, Langridge, GC, Feltwell, T, Harris, Mather, AE, Fookes, M, Aslett, M, Msefula, C, Kariuki, S, Maclennan, CA, Onsare, RS, Weill, F-X, Le Hello, S, Smith, AM, McClelland, M, Desai, P, Parry, CM, Cheesbrough, J, French, N, Campos, J, Chabalgoity, JA, Betancor, L, Hopkins, KL, Nair, S, Humphrey, TJ, Lunguya, O, Cogan, TA, Tapia, MD, Sow, SO, Tennant, SM, Bornstein, K, Levine, MM, Lacharme-Lora, L, Everett, DB, Kingsley, RA, Parkhill, J, Heyderman, RS, Dougan, G, Gordon, MA, and Thomson, NR

Subjects
Enterocolitis, Adaptation, Biological, Sequence Analysis, DNA, 3. Good health, Salmonella enteritidis, Salmonella Infections, Income, Animals, Humans, Female, Epidemics, Chickens, Africa South of the Sahara, Genome, Bacterial, Poultry Diseases, Plasmids
Abstract

An epidemiological paradox surrounds Salmonella enterica serovar Enteritidis. In high-income settings, it has been responsible for an epidemic of poultry-associated, self-limiting enterocolitis, whereas in sub-Saharan Africa it is a major cause of invasive nontyphoidal Salmonella disease, associated with high case fatality. By whole-genome sequence analysis of 675 isolates of S. Enteritidis from 45 countries, we show the existence of a global epidemic clade and two new clades of S. Enteritidis that are geographically restricted to distinct regions of Africa. The African isolates display genomic degradation, a novel prophage repertoire, and an expanded multidrug resistance plasmid. S. Enteritidis is a further example of a Salmonella serotype that displays niche plasticity, with distinct clades that enable it to become a prominent cause of gastroenteritis in association with the industrial production of eggs and of multidrug-resistant, bloodstream-invasive infection in Africa.

Catalog

Books, media, physical & digital resources
See catalog results