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2. Evidence for disequilibrium chemistry from vertical mixing in hot Jupiter atmospheres. A comprehensive survey of transiting close-in gas giant exoplanets with warm-Spitzer/IRAC

Author

Baxter, C., Désert, J-M., Tsai, S-M., Todorov, K. O., Bean, J. L., Deming, D., Parmentier, V., Fortney, J. J., Line, M., Thorngren, D., Pierrehumbert, R. T., Burrows, A., and Showman, A. P.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

[Abridged] Aims. We present a large atmospheric study of 49 gas giant exoplanets using infrared transmission photometry with Spitzer/IRAC at 3.6 and 4.5um. Methods. We uniformly analyze 70 photometric light curves of 33 transiting planets using our custom pipeline, which implements pixel level decorrelation. We use this survey to understand how infrared photometry traces changes in atmospheric chemical properties as a function of planetary temperature. We compare our measurements to a grid of 1D radiative-convective equilibrium forward atmospheric models which include disequilibrium chemistry. We explore various strengths of vertical mixing (Kzz = 0 - 10^12 cm2/s) as well as two chemical compositions (1x and 30x solar). Results. We find that, on average, Spitzer probes a difference of 0.5 atmospheric scale heights between 3.6 and 4.5um, which is measured at 7.5sigma level of significance. We find that the coolest planets show a lack of methane compared to expectations, which has also been reported by previous studies of individual objects. We show that the sample of coolest planets rule out 1x solar composition with >3sigma confidence while supporting low vertical mixing (Kzz = 10^8 cm2/s). On the other hand, we find that the hot planets are best explained by models with 1x solar metallicity and high vertical mixing (Kzz = 10^12 cm2/s). We interpret this as the lofting of CH4 to the upper atmospheric layers. Changing the interior temperature changes the expectation for equilibrium chemistry in deep layers, hence the expectation of disequilibrium chemistry higher up. We also find a significant scatter in the transmission signatures of the mid-temperate and ultra-hot planets, likely due to increased atmospheric diversity, without the need to invoke higher metallicities. Additionally, we compare Spitzer transmission with emission for the same planets and find no evidence for correlation., Comment: 43 pages, 17 Figures. Accepted on 9 Feb 2021 in Astronomy & Astrophysics

Published
2021
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4. WASP-4b Arrived Early for the TESS Mission

Author

Bouma, L. G., Winn, J. N., Baxter, C., Bhatti, W., Dai, F., Daylan, T., Désert, J. -M., Hill, M. L., Kane, S. R., Stassun, K. G., Villasenor, J., Ricker, G. R., Vanderspek, R., Latham, D. W., Seager, S., Jenkins, J. M., Berta-Thompson, Z., Colón, K., Fausnaugh, M., Glidden, Ana, Guerrero, N., Rodriguez, J. E., Twicken, J. D., and Wohler, B.

Subjects
Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

The Transiting Exoplanet Survey Satellite (TESS) recently observed 18 transits of the hot Jupiter WASP-4b. The sequence of transits occurred 81.6 $\pm$ 11.7 seconds earlier than had been predicted, based on data stretching back to 2007. This is unlikely to be the result of a clock error, because TESS observations of other hot Jupiters (WASP-6b, 18b, and 46b) are compatible with a constant period, ruling out an 81.6-second offset at the 6.4$\sigma$ level. The 1.3-day orbital period of WASP-4b appears to be decreasing at a rate of $\dot{P} = -12.6 \pm 1.2$ milliseconds per year. The apparent period change might be caused by tidal orbital decay or apsidal precession, although both interpretations have shortcomings. The gravitational influence of a third body is another possibility, though at present there is minimal evidence for such a body. Further observations are needed to confirm and understand the timing variation., Comment: AJ accepted

Published
2019
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5. Fermi-LAT counterparts of IceCube neutrinos above 100 TeV

Author

Krauß, F., Deoskar, K., Baxter, C., Kadler, M., Kreter, M., Langejahn, M., Mannheim, K., Polko, P., Wang, B., and Wilms, J.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Astrophysics of Galaxies
Abstract

The IceCube Collaboration has published four years of data and the observed neutrino flux is significantly in excess of the expected atmospheric background. Due to the steeply falling atmospheric background spectrum, events at the highest energies are most likely extraterrestrial. In our previous approach we have studied blazars as the possible origin of the High-Energy Starting Events (HESE) neutrino events at PeV energies. In this work we extend our study to include all HESE neutrinos (which does not include IC 170922A) at or above a reconstructed energy of 100 TeV, but below 1 PeV. We study the X-ray and $\gamma$-ray data of all ($\sim200$) 3LAC blazars that are positionally consistent with the neutrino events above 100 TeV to determine the maximum neutrino flux from these sources. This larger sample allows us to better constrain the scaling factor between the observed and maximum number of neutrino events. We find that when we consider a realistic neutrino spectrum and other factors, the number of neutrinos is in good agreement with the detected number of IceCube HESE events. We also show that there is no direct correlation between \Fermi-LAT $\gamma$-ray flux and the IceCube neutrino flux and that the expected number of neutrinos is consistent with the non-detection of individual bright blazars., Comment: accepted for publication by A&A

Published
2018
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7. Extraction of Cobalt and Nickel from a Pyrrhotite Rich Tailings Sample via Bioleaching

Author

Cameron, R., Yu, B., Baxter, C., Plugatyr, A., Lastra, R., Dal-Cin, M., Mercier, P. H. J., Perreault, N., Davis, Boyd R., editor, Moats, Michael S., editor, Wang, Shijie, editor, Gregurek, Dean, editor, Kapusta, Joël, editor, Battle, Thomas P., editor, Schlesinger, Mark E., editor, Alvear Flores, Gerardo Raul, editor, Jak, Evgueni, editor, Goodall, Graeme, editor, Free, Michael L., editor, Asselin, Edouard, editor, Chagnes, Alexandre, editor, Dreisinger, David, editor, Jeffrey, Matthew, editor, Lee, Jaeheon, editor, Miller, Graeme, editor, Petersen, Jochen, editor, Ciminelli, Virginia S. T., editor, Xu, Qian, editor, Molnar, Ronald, editor, Adams, Jeff, editor, Liu, Wenying, editor, Verbaan, Niels, editor, Goode, John, editor, London, Ian M., editor, Azimi, Gisele, editor, Forstner, Alex, editor, Kappes, Ronel, editor, and Bhambhani, Tarun, editor

Published
2018
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18. Submarine Mass Movements and Their Consequences

Author

Mosher, D. C., Moscardelli, L., Shipp, R. C., Chaytor, J. D., Baxter, C. D. P., Lee, H. J., Urgeles, R., Mosher, David C., editor, Shipp, R. Craig, editor, Moscardelli, Lorena, editor, Chaytor, Jason D., editor, Baxter, Christopher D. P., editor, Lee, Homa J., editor, and Urgeles, Roger, editor

Published
2010
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22. 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

24. The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

Author

Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, Wilkinson, E, Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, and Wilkinson, E

Abstract

Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.

Published
2022

25. Global patterns and controls of nutrient immobilization on decomposing cellulose in riverine ecosystems

Author

Costello, D. M. (David M.), Tiegs, S. D. (Scott D.), Boyero, L. (Luz), Canhoto, C. (Cristina), Capps, K. A. (Krista A.), Danger, M. (Michael), Frost, P. C. (Paul C.), Gessner, M. O. (Mark O.), Griffiths, N. A. (Natalie A.), Halvorson, H. M. (Halvor M.), Kuehn, K. A. (Kevin A.), Marcarelli, A. M. (Amy M.), Royer, T. V. (Todd, V), Mathie, D. M. (Devan M.), Albarino, R. J. (Ricardo J.), Arango, C. P. (Clay P.), Aroviita, J. (Jukka), Baxter, C. V. (Colden, V), Bellinger, B. J. (Brent J.), Bruder, A. (Andreas), Burdon, F. J. (Francis J.), Callisto, M. (Marcos), Camacho, A. (Antonio), Colas, F. (Fanny), Cornut, J. (Julien), Crespo-Perez, V. (Veronica), Cross, W. F. (Wyatt F.), Derry, A. M. (Alison M.), Douglas, M. M. (Michael M.), Elosegi, A. (Arturo), Eyto, E. (Elvira), Ferreira, V. (Veronica), Ferriol, C. (Carmen), Fleituch, T. (Tadeusz), Shah, J. J. (Jennifer J. Follstad), Frainer, A. (Andre), Garcia, E. A. (Erica A.), Garcia, L. (Liliana), Garcia, P. E. (Pavel E.), Giling, D. P. (Darren P.), Gonzales-Pomar, R. K. (R. Karina), Graca, M. A. (Manuel A. S.), Grossart, H.-P. (Hans-Peter), Guerold, F. (Francois), Hepp, L. U. (Luiz U.), Higgins, S. N. (Scott N.), Hishi, T. (Takuo), Iniguez-Armijos, C. (Carlos), Iwata, T. (Tomoya), Kirkwood, A. E. (Andrea E.), Koning, A. A. (Aaron A.), Kosten, S. (Sarian), Laudon, H. (Hjalmar), Leavitt, P. R. (Peter R.), Lemes da Silva, A. L. (Aurea L.), Leroux, S. J. (Shawn J.), LeRoy, C. J. (Carri J.), Lisi, P. J. (Peter J.), Masese, F. O. (Frank O.), McIntyre, P. B. (Peter B.), McKie, B. G. (Brendan G.), Medeiros, A. O. (Adriana O.), Milisa, M. (Marko), Miyake, Y. (Yo), Mooney, R. J. (Robert J.), Muotka, T. (Timo), Nimptsch, J. (Jorge), Paavola, R. (Riku), Pardo, I. (Isabel), Parnikoza, I. Y. (Ivan Y.), Patrick, C. J. (Christopher J.), Peeters, E. T. (Edwin T. H. M.), Pozo, J. (Jesus), Reid, B. (Brian), Richardson, J. S. (John S.), Rincon, J. (Jose), Risnoveanu, G. (Geta), Robinson, C. T. (Christopher T.), Santamans, A. C. (Anna C.), Simiyu, G. M. (Gelas M.), Skuja, A. (Agnija), Smykla, J. (Jerzy), Sponseller, R. A. (Ryan A.), Teixeira-de Mello, F. (Franco), Vilbaste, S. (Sirje), Villanueva, V. D. (Veronica D.), Webster, J. R. (Jackson R.), Woelfl, S. (Stefan), Xenopoulos, M. A. (Marguerite A.), Yates, A. G. (Adam G.), Yule, C. M. (Catherine M.), Zhang, Y. (Yixin), Zwart, J. A. (Jacob A.), Costello, D. M. (David M.), Tiegs, S. D. (Scott D.), Boyero, L. (Luz), Canhoto, C. (Cristina), Capps, K. A. (Krista A.), Danger, M. (Michael), Frost, P. C. (Paul C.), Gessner, M. O. (Mark O.), Griffiths, N. A. (Natalie A.), Halvorson, H. M. (Halvor M.), Kuehn, K. A. (Kevin A.), Marcarelli, A. M. (Amy M.), Royer, T. V. (Todd, V), Mathie, D. M. (Devan M.), Albarino, R. J. (Ricardo J.), Arango, C. P. (Clay P.), Aroviita, J. (Jukka), Baxter, C. V. (Colden, V), Bellinger, B. J. (Brent J.), Bruder, A. (Andreas), Burdon, F. J. (Francis J.), Callisto, M. (Marcos), Camacho, A. (Antonio), Colas, F. (Fanny), Cornut, J. (Julien), Crespo-Perez, V. (Veronica), Cross, W. F. (Wyatt F.), Derry, A. M. (Alison M.), Douglas, M. M. (Michael M.), Elosegi, A. (Arturo), Eyto, E. (Elvira), Ferreira, V. (Veronica), Ferriol, C. (Carmen), Fleituch, T. (Tadeusz), Shah, J. J. (Jennifer J. Follstad), Frainer, A. (Andre), Garcia, E. A. (Erica A.), Garcia, L. (Liliana), Garcia, P. E. (Pavel E.), Giling, D. P. (Darren P.), Gonzales-Pomar, R. K. (R. Karina), Graca, M. A. (Manuel A. S.), Grossart, H.-P. (Hans-Peter), Guerold, F. (Francois), Hepp, L. U. (Luiz U.), Higgins, S. N. (Scott N.), Hishi, T. (Takuo), Iniguez-Armijos, C. (Carlos), Iwata, T. (Tomoya), Kirkwood, A. E. (Andrea E.), Koning, A. A. (Aaron A.), Kosten, S. (Sarian), Laudon, H. (Hjalmar), Leavitt, P. R. (Peter R.), Lemes da Silva, A. L. (Aurea L.), Leroux, S. J. (Shawn J.), LeRoy, C. J. (Carri J.), Lisi, P. J. (Peter J.), Masese, F. O. (Frank O.), McIntyre, P. B. (Peter B.), McKie, B. G. (Brendan G.), Medeiros, A. O. (Adriana O.), Milisa, M. (Marko), Miyake, Y. (Yo), Mooney, R. J. (Robert J.), Muotka, T. (Timo), Nimptsch, J. (Jorge), Paavola, R. (Riku), Pardo, I. (Isabel), Parnikoza, I. Y. (Ivan Y.), Patrick, C. J. (Christopher J.), Peeters, E. T. (Edwin T. H. M.), Pozo, J. (Jesus), Reid, B. (Brian), Richardson, J. S. (John S.), Rincon, J. (Jose), Risnoveanu, G. (Geta), Robinson, C. T. (Christopher T.), Santamans, A. C. (Anna C.), Simiyu, G. M. (Gelas M.), Skuja, A. (Agnija), Smykla, J. (Jerzy), Sponseller, R. A. (Ryan A.), Teixeira-de Mello, F. (Franco), Vilbaste, S. (Sirje), Villanueva, V. D. (Veronica D.), Webster, J. R. (Jackson R.), Woelfl, S. (Stefan), Xenopoulos, M. A. (Marguerite A.), Yates, A. G. (Adam G.), Yule, C. M. (Catherine M.), Zhang, Y. (Yixin), and Zwart, J. A. (Jacob A.)

Abstract

Microbes play a critical role in plant litter decomposition and influence the fate of carbon in rivers and riparian zones. When decomposing low-nutrient plant litter, microbes acquire nitrogen (N) and phosphorus (P) from the environment (i.e., nutrient immobilization), and this process is potentially sensitive to nutrient loading and changing climate. Nonetheless, environmental controls on immobilization are poorly understood because rates are also influenced by plant litter chemistry, which is coupled to the same environmental factors. Here we used a standardized, low-nutrient organic matter substrate (cotton strips) to quantify nutrient immobilization at 100 paired stream and riparian sites representing 11 biomes worldwide. Immobilization rates varied by three orders of magnitude, were greater in rivers than riparian zones, and were strongly correlated to decomposition rates. In rivers, P immobilization rates were controlled by surface water phosphate concentrations, but N immobilization rates were not related to inorganic N. The N:P of immobilized nutrients was tightly constrained to a molar ratio of 10:1 despite wide variation in surface water N:P. Immobilization rates were temperature-dependent in riparian zones but not related to temperature in rivers. However, in rivers nutrient supply ultimately controlled whether microbes could achieve the maximum expected decomposition rate at a given temperature. Collectively, we demonstrated that exogenous nutrient supply and immobilization are critical control points for decomposition of organic matter.

Published
2022

31. Genomic reconstruction of the SARS-CoV-2 epidemic in England

Author

Vöhringer, HS, Sanderson, T, Sinnott, M, De Maio, N, Nguyen, T, Goater, R, Schwach, F, Harrison, I, Hellewell, J, Ariani, CV, Gonçalves, S, Jackson, DK, Johnston, I, Jung, AW, Saint, C, Sillitoe, J, Suciu, M, Goldman, N, Panovska-Griffiths, J, Abnizova, I, Aigrain, L, Alderton, A, Ali, M, Allen, L, Amato, R, Anderson, R, Ariani, C, Austin-Guest, S, Bala, S, Barrett, J, Bassett, A, Battleday, K, Beal, J, Beale, M, Beaver, C, 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, SK, Bush, R, Caetano, C, Cagan, A, Carter, N, Cartwright, J, Monteiro, TC, 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, Davies, R, Dawson, J, Day, C, Densem, A, Dibling, T, Dockree, C, Dodd, D, Dogga, S, Dorman, M, Dougan, G, Dougherty, M, Dove, A, Drummond, L, Drury, E, Dudek, M, Durham, J, Durrant, L, Easthope, E, Eckert, S, Ellis, P, Farr, B, Fenton, M, Ferrero, M, Flack, N, Fordham, H, Forsythe, G, Foulser, L, Francis, M, Fraser, A, Freeman, A, Galvin, A, Garcia-Casado, M, Gedny, A, Girgis, S, Glover, J, Goncalves, S, Goodwin, S, Gould, O, Gourtovaia, M, 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, James, K, Jamrozy, D, Verdejo, CJ, Jones, M, Kallepally, K, Kane, L, Kay, K, Kay, S, Keatley, J, Keith, A, King, A, Kitchin, L, Kleanthous, M, Klimekova, M, Korlevic, P, Krasheninnkova, K, Lane, G, Langford, C, Laverack, A, Law, K, Lawniczak, M, Lensing, S, Leonard, S, Letchford, L, Lewis, K, Lewis-Wade, A, Liddle, J, Lin, Q, Lindsay, S, Linsdell, S, Livett, R, Lo, S, Long, R, Lovell, J, Ludden, C, Mack, J, Maddison, M, Makunin, A, Mamun, I, Mansfield, J, Marriott, N, Martin, M, Mayho, M, McCarthy, S, McClintock, J, McGuigan, S, McHugh, S, McMinn, L, Meadows, C, Mobley, E, Moll, R, Morra, M, Morrow, L, Murie, K, Nash, S, Nathwani, C, Naydenova, P, Neaverson, A, Nelson, R, Nerou, E, Nicholson, J, Nimz, T, Noell, GG, O’Meara, S, Ohan, V, Oliver, K, Olney, C, Ormond, D, Oszlanczi, A, Palmer, S, Pang, YF, Pardubska, B, Park, N, Parmar, A, Patel, G, Patel, M, Payne, M, Peacock, S, Petersen, A, Plowman, D, Preston, T, Prestwood, L, Puethe, C, Quail, M, Rajan, D, Rajatileka, S, 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, EM, Roopra, D, Rose, M, Rudd, L, Sadri, R, Salmon, N, Saul, D, Scott, C, Seekings, P, Shirley, L, Simms, A, 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, CD, Sousa, C, Souster, E, Sparkes, A, Spencer-Chapman, M, Squares, J, Stanley, R, Steed, C, Stickland, T, Still, I, Stratton, MR, Strickland, M, Swann, A, Swiatkowska, A, Sycamore, N, Swift, E, Symons, E, Szluha, S, Taluy, E, Tao, N, Taylor, K, Taylor, S, Thompson, S, Thompson, M, Thomson, M, Thomson, N, Thurston, S, Tonkin-Hill, G, Toombs, D, Topping, B, Tovar-Corona, J, Ungureanu, D, Uphill, J, Urbanova, J, Van Vuuren, PJ, Vancollie, V, Voak, P, Walker, D, Walker, M, Waller, M, Ward, G, Weatherhogg, C, Webb, N, Weldon, D, Wells, A, Wells, E, Westwood, L, Whipp, T, Whiteley, T, Whitton, G, Whitwham, A, Widaa, S, Williams, M, Wilson, M, Wright, S, Robson, SC, Connor, TR, Loman, NJ, Golubchik, T, Martinez Nunez, RT, Bonsall, D, Rambaut, A, Snell, LB, Corden, S, Nastouli, E, Nebbia, G, Lythgoe, K, Torok, ME, Goodfellow, IG, Prieto, JA, Saeed, K, 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, Fairley, DJ, Loose, MW, Watkins, J, Moses, S, Nicholls, S, Bull, M, Smith, DL, Aanensen, DM, 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, 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, Page, AJ, Bassett, AR, Wong, N, Taha, Y, Erkiert, MJ, Spencer Chapman, MH, 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, 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, Catalan, J, Jones, N, da Silva Filipe, A, Fuchs, M, Miskelly, J, Jeffries, AR, 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, Davies, RM, Batra, R, Blane, B, Spyer, MJ, Smith, P, Yavus, M, Williams, RJ, Mahanama, AIK, Samaraweera, B, Girgis, ST, Hansford, SE, Green, A, Bellis, KL, Dorman, MJ, 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, 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, Tovar-Corona, JM, Cox, M, Abudahab, K, Menegazzo, M, Taylor, BEW, Yeats, CA, Mukaddas, A, Wright, DW, de Oliveira Martins, L, Colquhoun, R, Hill, V, Jackson, B, McCrone, JT, Medd, N, Scher, E, Keatley, J-P, Curran, T, Morgan, S, Maxwell, P, 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, 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, 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, A, Ohemeng-Kumi, N, Ramble, J, Sehmi, J, Williams, R, Chatterton, W, Pusok, M, Everson, W, Castigador, A, Macnaughton, E, El Bouzidi, K, 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, 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, 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, Afifi, S, Beer, R, Maksimovic, J, Masters, KM, 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, S, 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, Bronner, IF, Farr, BW, Lensing, SV, McCarthy, SA, Quail, MA, Redshaw, NM, Thurston, SAJ, Rowe, W, Gaskin, A, Le-Viet, T, Birney, E, Volz, E, Funk, S, Martincorena, I, Barrett, JC, and Gerstung, M

Abstract

The evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus leads to new variants that warrant timely epidemiological characterization. Here we use the dense genomic surveillance data generated by the COVID-19 Genomics UK Consortium to reconstruct the dynamics of 71 different lineages in each of 315 English local authorities between September 2020 and June 2021. This analysis reveals a series of subepidemics that peaked in early autumn 2020, followed by a jump in transmissibility of the B.1.1.7/Alpha lineage. The Alpha variant grew when other lineages declined during the second national lockdown and regionally tiered restrictions between November and December 2020. A third more stringent national lockdown suppressed the Alpha variant and eliminated nearly all other lineages in early 2021. Yet a series of variants (most of which contained the spike E484K mutation) defied these trends and persisted at moderately increasing proportions. However, by accounting for sustained introductions, we found that the transmissibility of these variants is unlikely to have exceeded the transmissibility of the Alpha variant. Finally, B.1.617.2/Delta was repeatedly introduced in England and grew rapidly in early summer 2021, constituting approximately 98% of sampled SARS-CoV-2 genomes on 26 June 2021.

Published
2021

34. Mini-XT, a miniaturized tagmentation-based protocol for efficient sequencing of SARS-CoV-2

Author

Skvortsov T, Tang M, Bridgett S, Radulescu C, Lavin D, Miskelly J, Derek Fairley, David Simpson, Rogan F, McColgan E, Mahesh A, Singh A, Umbreen S, Molnar Z, Baxter C, Fuchs M, Smyth M, and James McKenna

Subjects
Protocol (science), Whole genome sequencing, Computer science, Echo (communications protocol), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Multiplex, Genomics, Replicate, Computational biology, Genome
Abstract

IntroductionThe COVID-19 pandemic has highlighted the importance of whole genome sequencing (WGS) of SARS-CoV-2 to inform public health policy. By enabling definition of lineages it facilitates tracking of the global spread of the virus. The evolution of new variants can be monitored and knowledge of specific mutations provides insights into the mechanisms through which the virus increases transmissibility or evades immunity. To date almost one million SARS-CoV-2 genomes have been sequenced by members of the COVID-19 Genomics UK (COG-UK) Consortium. To achieve similar feats in a more cost-effective and sustainable manner in future, improved high throughput virus sequencing protocols are required. We have therefore developed a miniaturized library preparation protocol with drastically reduced consumable use and costs.MethodsSARS-CoV-2 RNA was amplified using the ARTIC nCov-2019 multiplex RT-PCR protocol and purified using a conventional liquid handling system. Acoustic liquid transfer (Echo 525) was employed to reduce reaction volumes and the number of tips required for a Nextera XT library preparation. Sequencing was performed on an Illumina MiSeq.ResultsWe present the ‘Mini-XT’ miniaturized tagmentation-based library preparation protocol available on protocols.io (https://dx.doi.org/10.17504/protocols.io.bvntn5en). The final version of Mini-XT has been used to sequence 4,384 SARS-CoV-2 samples from N. Ireland with a COG-UK QC pass rate of 97.4%. Sequencing quality was comparable and lineage calling consistent for replicate samples processed with full volume Nextera DNA Flex (333 samples) or using nanopore technology (20 samples). SNP calling between Mini-XT and these technologies was consistent and sequences from replicate samples paired together in maximum likelihood phylogenetic trees.ConclusionThe Mini-XT protocol maintains sequence quality while reducing library preparation reagent volumes 8-fold and halving overall tip usage from sample to sequence to provide concomitant cost savings relative to standard protocols. This will enable more efficient high-throughput sequencing of SARS-CoV-2 isolates and future pathogen WGS.

Published
2021
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47. AusTraits, a curated plant trait database for the Australian flora

Author

Falster, D., Gallagher, R., Wenk, E.H., Wright, I.J., Indiarto, D., Andrew, S.C., Baxter, C., Lawson, J., Allen, S., Fuchs, A., Monro, A., Kar, F., Adams, M.A., Ahrens, C.W., Alfonzetti, M., Angevin, T., Apgaua, D.M.G., Arndt, S., Atkin, O.K., Atkinson, J., Auld, T., Baker, A., von Balthazar, M., Bean, A., Blackman, C.J., Bloomfield, K., Bowman, D.M.J.S., Bragg, J., Brodribb, T. J., Buckton, G., Burrows, G., Caldwell, E., Camac, J., Carpenter, R., Catford, J.A., Cawthray, G.R., Cernusak, L.A., Chandler, G., Chapman, A.R., Cheal, D., Cheesman, A.W., Chen, S-C, Choat, B., Clinton, B., Clode, P.L., Coleman, H., Cornwell, W.K., Cosgrove, M., Crisp, M., Cross, E., Crous, K.Y., Cunningham, S., Curran, T., Curtis, E., Daws, M.I., DeGabriel, J.L., Denton, M.D., Dong, N., Du, P., Duan, H., Duncan, D.H., Duncan, R.P., Duretto, M., Dwyer, J.M., Edwards, C., Esperon-Rodriguez, M., Evans, J.R., Everingham, S.E., Farrell, C., Firn, J., Fonseca, C.R., French, B.J., Frood, D., Funk, J.L., Geange, S.R., Ghannoum, O., Gleason, S.M., Gosper, C.R., Gray, E., Groom, P.K., Grootemaat, S., Gross, C., Guerin, G., Guja, L., Hahs, A.K., Harrison, M.T., Hayes, P.E., Henery, M., Hochuli, D., Howell, J., Huang, G., Hughes, L., Huisman, J., Ilic, J., Jagdish, A., Jin, D., Jordan, G., Jurado, E., Kanowski, J., Kasel, S., Kellermann, J., Kenny, B., Kohout, M., Kooyman, R.M., Kotowska, M.M., Lai, H.R., Laliberté, E., Lambers, H., Lamont, B.B., Lanfear, R., van Langevelde, F., Laughlin, D.C., Laugier-Kitchener, B-A, Laurance, S., Lehmann, C.E.R., Leigh, A., Leishman, M.R., Lenz, T., Lepschi, B., Lewis, J.D., Lim, F., Liu, U., Lord, J., Lusk, C.H., Macinnis-Ng, C., McPherson, H., Magallón, S., Manea, A., López-Martinez, A., Mayfield, M., McCarthy, J.K., Meers, T., van der Merwe, M., Metcalfe, D.J., Milberg, P., Mokany, K., Moles, A.T., Moore, B.D., Moore, N., Morgan, J.W., Morris, W., Muir, A., Munroe, S., Nicholson, Á., Nicolle, D., Nicotra, A.B., Niinemets, Ü., North, T., O’Reilly-Nugent, A., O’Sullivan, O.S., Oberle, B., Onoda, Y., Ooi, M.K.J., Osborne, C.P., Paczkowska, G., Pekin, B., Guilherme Pereira, C., Pickering, C., Pickup, M., Pollock, L.J., Poot, P., Powell, J.R., Power, S.A., Prentice, I.C., Prior, L., Prober, S.M., Read, J., Reynolds, V., Richards, A.E., Richardson, B., Roderick, M.L., Rosell, J.A., Rossetto, M., Rye, B., Rymer, P.D., Sams, M.A., Sanson, G., Sauquet, H., Schmidt, S., Schönenberger, J., Schulze, E-D, Sendall, K., Sinclair, S., Smith, B., Smith, R., Soper, F., Sparrow, B., Standish, R.J., Staples, T.L., Stephens, R., Szota, C., Taseski, G., Tasker, E., Thomas, F., Tissue, D.T., Tjoelker, M.G., Tng, D.Y.P., de Tombeur, F., Tomlinson, K., Turner, N.C., Veneklaas, E.J., Venn, S., Vesk, P., Vlasveld, C., Vorontsova, M.S., Warren, C.A., Warwick, N., Weerasinghe, L.K., Wells, J., Westoby, M., White, M., Williams, N.S.G., Wills, J., Wilson, P.G., Yates, C., Zanne, A.E., Zemunik, G., Ziemińska, K., Falster, D., Gallagher, R., Wenk, E.H., Wright, I.J., Indiarto, D., Andrew, S.C., Baxter, C., Lawson, J., Allen, S., Fuchs, A., Monro, A., Kar, F., Adams, M.A., Ahrens, C.W., Alfonzetti, M., Angevin, T., Apgaua, D.M.G., Arndt, S., Atkin, O.K., Atkinson, J., Auld, T., Baker, A., von Balthazar, M., Bean, A., Blackman, C.J., Bloomfield, K., Bowman, D.M.J.S., Bragg, J., Brodribb, T. J., Buckton, G., Burrows, G., Caldwell, E., Camac, J., Carpenter, R., Catford, J.A., Cawthray, G.R., Cernusak, L.A., Chandler, G., Chapman, A.R., Cheal, D., Cheesman, A.W., Chen, S-C, Choat, B., Clinton, B., Clode, P.L., Coleman, H., Cornwell, W.K., Cosgrove, M., Crisp, M., Cross, E., Crous, K.Y., Cunningham, S., Curran, T., Curtis, E., Daws, M.I., DeGabriel, J.L., Denton, M.D., Dong, N., Du, P., Duan, H., Duncan, D.H., Duncan, R.P., Duretto, M., Dwyer, J.M., Edwards, C., Esperon-Rodriguez, M., Evans, J.R., Everingham, S.E., Farrell, C., Firn, J., Fonseca, C.R., French, B.J., Frood, D., Funk, J.L., Geange, S.R., Ghannoum, O., Gleason, S.M., Gosper, C.R., Gray, E., Groom, P.K., Grootemaat, S., Gross, C., Guerin, G., Guja, L., Hahs, A.K., Harrison, M.T., Hayes, P.E., Henery, M., Hochuli, D., Howell, J., Huang, G., Hughes, L., Huisman, J., Ilic, J., Jagdish, A., Jin, D., Jordan, G., Jurado, E., Kanowski, J., Kasel, S., Kellermann, J., Kenny, B., Kohout, M., Kooyman, R.M., Kotowska, M.M., Lai, H.R., Laliberté, E., Lambers, H., Lamont, B.B., Lanfear, R., van Langevelde, F., Laughlin, D.C., Laugier-Kitchener, B-A, Laurance, S., Lehmann, C.E.R., Leigh, A., Leishman, M.R., Lenz, T., Lepschi, B., Lewis, J.D., Lim, F., Liu, U., Lord, J., Lusk, C.H., Macinnis-Ng, C., McPherson, H., Magallón, S., Manea, A., López-Martinez, A., Mayfield, M., McCarthy, J.K., Meers, T., van der Merwe, M., Metcalfe, D.J., Milberg, P., Mokany, K., Moles, A.T., Moore, B.D., Moore, N., Morgan, J.W., Morris, W., Muir, A., Munroe, S., Nicholson, Á., Nicolle, D., Nicotra, A.B., Niinemets, Ü., North, T., O’Reilly-Nugent, A., O’Sullivan, O.S., Oberle, B., Onoda, Y., Ooi, M.K.J., Osborne, C.P., Paczkowska, G., Pekin, B., Guilherme Pereira, C., Pickering, C., Pickup, M., Pollock, L.J., Poot, P., Powell, J.R., Power, S.A., Prentice, I.C., Prior, L., Prober, S.M., Read, J., Reynolds, V., Richards, A.E., Richardson, B., Roderick, M.L., Rosell, J.A., Rossetto, M., Rye, B., Rymer, P.D., Sams, M.A., Sanson, G., Sauquet, H., Schmidt, S., Schönenberger, J., Schulze, E-D, Sendall, K., Sinclair, S., Smith, B., Smith, R., Soper, F., Sparrow, B., Standish, R.J., Staples, T.L., Stephens, R., Szota, C., Taseski, G., Tasker, E., Thomas, F., Tissue, D.T., Tjoelker, M.G., Tng, D.Y.P., de Tombeur, F., Tomlinson, K., Turner, N.C., Veneklaas, E.J., Venn, S., Vesk, P., Vlasveld, C., Vorontsova, M.S., Warren, C.A., Warwick, N., Weerasinghe, L.K., Wells, J., Westoby, M., White, M., Williams, N.S.G., Wills, J., Wilson, P.G., Yates, C., Zanne, A.E., Zemunik, G., and Ziemińska, K.

Abstract

We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge.

Published
2021

48. AusTraits, a curated plant trait database for the Australian flora

Author

Falster, D, Gallagher, R, Wenk, EH, Wright, IJ, Indiarto, D, Andrew, SC, Baxter, C, Lawson, J, Allen, S, Fuchs, A, Monro, A, Kar, F, Adams, MA, Ahrens, CW, Alfonzetti, M, Angevin, T, Apgaua, DMG, Arndt, S, Atkin, OK, Atkinson, J, Auld, T, Baker, A, von Balthazar, M, Bean, A, Blackman, CJ, Bloomfield, K, Bowman, DMJS, Bragg, J, Brodribb, TJ, Buckton, G, Burrows, G, Caldwell, E, Camac, J, Carpenter, R, Catford, JA, Cawthray, GR, Cernusak, LA, Chandler, G, Chapman, AR, Cheal, D, Cheesman, AW, Chen, SC, Choat, B, Clinton, B, Clode, PL, Coleman, H, Cornwell, WK, Cosgrove, M, Crisp, M, Cross, E, Crous, KY, Cunningham, S, Curran, T, Curtis, E, Daws, MI, DeGabriel, JL, Denton, MD, Dong, N, Du, P, Duan, H, Duncan, DH, Duncan, RP, Duretto, M, Dwyer, JM, Edwards, C, Esperon-Rodriguez, M, Evans, JR, Everingham, SE, Farrell, C, Firn, J, Fonseca, CR, French, BJ, Frood, D, Funk, JL, Geange, SR, Ghannoum, O, Gleason, SM, Gosper, CR, Gray, E, Groom, PK, Grootemaat, S, Gross, C, Guerin, G, Guja, L, Hahs, AK, Harrison, MT, Hayes, PE, Henery, M, Hochuli, D, Howell, J, Huang, G, Hughes, L, Huisman, J, Ilic, J, Jagdish, A, Jin, D, Jordan, G, Jurado, E, Kanowski, J, Kasel, S, Falster, D, Gallagher, R, Wenk, EH, Wright, IJ, Indiarto, D, Andrew, SC, Baxter, C, Lawson, J, Allen, S, Fuchs, A, Monro, A, Kar, F, Adams, MA, Ahrens, CW, Alfonzetti, M, Angevin, T, Apgaua, DMG, Arndt, S, Atkin, OK, Atkinson, J, Auld, T, Baker, A, von Balthazar, M, Bean, A, Blackman, CJ, Bloomfield, K, Bowman, DMJS, Bragg, J, Brodribb, TJ, Buckton, G, Burrows, G, Caldwell, E, Camac, J, Carpenter, R, Catford, JA, Cawthray, GR, Cernusak, LA, Chandler, G, Chapman, AR, Cheal, D, Cheesman, AW, Chen, SC, Choat, B, Clinton, B, Clode, PL, Coleman, H, Cornwell, WK, Cosgrove, M, Crisp, M, Cross, E, Crous, KY, Cunningham, S, Curran, T, Curtis, E, Daws, MI, DeGabriel, JL, Denton, MD, Dong, N, Du, P, Duan, H, Duncan, DH, Duncan, RP, Duretto, M, Dwyer, JM, Edwards, C, Esperon-Rodriguez, M, Evans, JR, Everingham, SE, Farrell, C, Firn, J, Fonseca, CR, French, BJ, Frood, D, Funk, JL, Geange, SR, Ghannoum, O, Gleason, SM, Gosper, CR, Gray, E, Groom, PK, Grootemaat, S, Gross, C, Guerin, G, Guja, L, Hahs, AK, Harrison, MT, Hayes, PE, Henery, M, Hochuli, D, Howell, J, Huang, G, Hughes, L, Huisman, J, Ilic, J, Jagdish, A, Jin, D, Jordan, G, Jurado, E, Kanowski, J, and Kasel, S

Abstract

We introduce the AusTraits database - a compilation of values of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 448 traits across 28,640 taxa from field campaigns, published literature, taxonomic monographs, and individual taxon descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological attributes (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual- and species-level measurements coupled to, where available, contextual information on site properties and experimental conditions. This article provides information on version 3.0.2 of AusTraits which contains data for 997,808 trait-by-taxon combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data, which also provides a template for other national or regional initiatives globally to fill persistent gaps in trait knowledge.

Published
2021

49. Predicting deseasonalised serum 25 hydroxy vitamin D concentrations in the D-Health Trial: An analysis using boosted regression trees

Author

Waterhouse, M, Baxter, C, Romero, BD, McLeod, DSA, English, DR, Armstrong, BK, Clarke, MW, Ebeling, PR, Hartel, G, Kimlin, MG, O'Connell, RL, Pham, H, Harris, RMR, van der Pols, JC, Venn, AJ, Webb, PM, Whiteman, DC, Neale, RE, Waterhouse, M, Baxter, C, Romero, BD, McLeod, DSA, English, DR, Armstrong, BK, Clarke, MW, Ebeling, PR, Hartel, G, Kimlin, MG, O'Connell, RL, Pham, H, Harris, RMR, van der Pols, JC, Venn, AJ, Webb, PM, Whiteman, DC, and Neale, RE

Abstract

BACKGROUND: The D-Health Trial aims to determine whether monthly high-dose vitamin D supplementation can reduce the mortality rate and prevent cancer. We did not have adequate statistical power for subgroup analyses, so could not justify the high cost of collecting blood samples at baseline. To enable future exploratory analyses stratified by baseline vitamin D status, we developed models to predict baseline serum 25 hydroxy vitamin D [25(OH)D] concentration. METHODS: We used data and serum 25(OH)D concentrations from participants who gave a blood sample during the trial for compliance monitoring and were randomised to placebo. Data were partitioned into training (80%) and validation (20%) datasets. Deseasonalised serum 25(OH)D concentrations were dichotomised using cut-points of 50, 60 and 75 nmol/L. We fitted boosted regression tree models, based on 13 predictors, and evaluated model performance using the validation data. RESULTS: The training and validation datasets had 1788 (10.5% <50 nmol/L, 23.1% <60 nmol, 48.8 <75 nmol/L) and 447 (11.9% <50 nmol/L, 25.7% <60 nmol/L, and 49.2% <75 nmol/L) samples, respectively. Ambient UV radiation and total intake of vitamin D were the strongest predictors of 'low' serum 25(OH)D concentration. The area under the receiver operating characteristic curves were 0.71, 0.70, and 0.66 for cut-points of <50, <60 and <75 nmol/L respectively. CONCLUSIONS: We exploited compliance monitoring data to develop models to predict serum 25(OH)D concentration for D-Health participants at baseline. This approach may prove useful in other trial settings where there is an obstacle to exhaustive data collection.

Published
2021

50. Vitamin D supplementation and risk of falling: outcomes from the randomized, placebo-controlled D-Health Trial

Author

Waterhouse, M, Sanguineti, E, Baxter, C, Romero, BD, McLeod, DSA, English, DR, Armstrong, BK, Ebeling, PR, Hartel, G, Kimlin, MG, O'Connell, RL, Pham, H, van der Pols, JC, Venn, AJ, Webb, PM, Whiteman, DC, Neale, RE, Waterhouse, M, Sanguineti, E, Baxter, C, Romero, BD, McLeod, DSA, English, DR, Armstrong, BK, Ebeling, PR, Hartel, G, Kimlin, MG, O'Connell, RL, Pham, H, van der Pols, JC, Venn, AJ, Webb, PM, Whiteman, DC, and Neale, RE

Abstract

BACKGROUND: Falls cause considerable morbidity and mortality in older people. It is unclear how vitamin D supplementation affects falls risk, particularly when taken at high doses. We sought to determine whether monthly high-dose vitamin D supplementation reduces risk and incidence of falls. METHODS: We used data from the randomized, double-blind, placebo-controlled D-Health Trial conducted in Australia. Between February 2014 and May 2015, 21 315 participants aged 60-84 years were randomized (1:1) to monthly doses of either 60 000 IU of colecalciferol or placebo for a maximum of 5 years. People who reported a history of osteomalacia, sarcoidosis, hyperparathyroidism, hypercalcaemia or kidney stones or who were taking >500 IU/day supplementary vitamin D were ineligible. Each year, we collected blood samples from ~450 randomly sampled participants from each trial arm and measured 25-hydroxyvitamin D [25(OH)D]. Falls, a prespecified tertiary outcome, were ascertained using annual surveys and, for a subset of participants, 3-month falls diaries. The primary outcome for this analysis was any fall in the month before completing an annual survey. As part of our process to maintain blinding, we used random samples of participants (surveys, n = 16 000; diaries, n = 2400), with equal numbers per group. Participants with no outcome data were excluded. Following an intention-to-treat approach, we analysed outcomes using logistic, ordinal and negative binomial regression. Registration: Australian New Zealand Clinical Trials Registry (ACTRN12613000743763); registered 4 July 2013. RESULTS: Mean treatment duration was 4.3 years (standard deviation [SD] = 1.4 years). Mean serum 25(OH)D concentrations during the trial were 114.8 (SD 30.3) nmol/L and 77.5 (SD 25.2) nmol/L in the vitamin D and placebo groups, respectively. Survey and diary analytic sets included 15 416 and 2200 participants, respectively; approximately half were randomized to vitamin D (surveys: 50.1%; diaries: 50.4%).

Published
2021

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