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7,518 results on '"Lewis, G"'

10. Total daily energy expenditure has declined over the past three decades due to declining basal expenditure, not reduced activity expenditure

Author

Speakman, John R., de Jong, Jasper M. A., Sinha, Srishti, Westerterp, Klaas R., Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Liam J., Arab, Lenore, Bedu-Addo, Kweku, Blanc, Stephane, Bonomi, Alberto G., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.J.A., Cooper, Jamie A., Cooper, Richard, Das, Sai Krupa, Davies, Peter S. W., Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Ghosh, Santu, Goris, Annelies H., Gurven, Michael, Halsey, Lewis G., Hambly, Catherine, Haisma, Hinke H., Hoffman, Daniel, Hu, Sumei, Joosen, Annemiek M., Kaplan, Jennifer L., Katzmarzyk, Peter, Kraus, William E., Kushner, Robert F., Leonard, William R., Löf, Marie, Martin, Corby K., Matsiko, Eric, Medin, Anine C., Meijer, Erwin P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Redman, Leanne M., Roberts, Susan B., Rudolph, Michael C., Sardinha, Luis B., Schuit, Albertine J., Silva, Analiza M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wood, Brian M., Yanovski, Jack A., Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Loechl, Cornelia U., Kurpad, Anura, Luke, Amy H., Pontzer, Herman, Rodeheffer, Matthew S., Rood, Jennifer, Schoeller, Dale A., and Wong, William W.

Published
2023
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14. Investigation of hospital discharge cases and SARS-CoV-2 introduction into Lothian care homes

Author

Robson, Samuel C., Connor, Thomas R., Loman, Nicholas J., Golubchik, Tanya, Martinez Nunez, Rocio T., Bonsall, David, Rambaut, Andrew, Snell, Luke B., Livett, Rich, Ludden, Catherine, Corden, Sally, Nastouli, Eleni, Nebbia, Gaia, Johnston, Ian, Prieto, Jacqui A., Saeed, Kordo, Jackson, David K., Houlihan, Catherine, Frampton, Dan, Hamilton, William L., Witney, Adam A., Bucca, Giselda, Pope, Cassie F., Moore, Catherine, Thomson, Emma C., Cutino-Moguel, Teresa, Harrison, Ewan M., Smith, Colin P., Rogan, Fiona, Beckwith, Shaun M., Murray, Abigail, Singleton, Dawn, Eastick, Kirstine, Sheridan, Liz A., Randell, Paul, Jackson, Leigh M., Ariani, Cristina V., Gonçalves, Sónia, Fairley, Derek J., Loose, Matthew W., Watkins, Joanne, Moses, Samuel, Nicholls, Sam, Bull, Matthew, Amato, Roberto, Smith, Darren L., Aanensen, David M., Barrett, Jeffrey C., Kele, Beatrix, Aggarwal, Dinesh, Shepherd, James G., Curran, Martin D., Parmar, Surendra, Parker, Matthew D., Williams, Catryn, Glaysher, Sharon, Underwood, Anthony P., Bashton, Matthew, Pacchiarini, Nicole, Loveson, Katie F., Byott, Matthew, Carabelli, Alessandro M., Templeton, Kate E., Peacock, Sharon J., de Silva, Thushan I., Wang, Dennis, Langford, Cordelia F., Sillitoe, John, Gunson, Rory N., Cottrell, Simon, O’Grady, Justin, Kwiatkowski, Dominic, Lillie, Patrick J., Cortes, Nicholas, Moore, Nathan, Thomas, Claire, Burns, Phillipa J., Mahungu, Tabitha W., Liggett, Steven, Beckett, Angela H., Holden, Matthew TG., Levett, Lisa J., Osman, Husam, Hassan-Ibrahim, Mohammed O., Simpson, David A., Chand, Meera, Gupta, Ravi K., Darby, Alistair C., Paterson, Steve, Pybus, Oliver G., Volz, Erik M., de Angelis, Daniela, Robertson, David L., Page, Andrew J., Martincorena, Inigo, Aigrain, Louise, Bassett, Andrew R., Wong, Nick, Taha, Yusri, Erkiert, Michelle J., Spencer Chapman, Michael H., Dewar, Rebecca, McHugh, Martin P., Mookerjee, Siddharth, Aplin, Stephen, Harvey, Matthew, Sass, Thea, Umpleby, Helen, Wheeler, Helen, McKenna, James P., Warne, Ben, Taylor, Joshua F., Chaudhry, Yasmin, Izuagbe, Rhys, Jahun, Aminu S., Young, Gregory R., McMurray, Claire, McCann, Clare M., Nelson, Andrew, Elliott, Scott, Lowe, Hannah, Price, Anna, Crown, Matthew R., Rey, Sara, Roy, Sunando, Temperton, Ben, Shaaban, Sharif, Hesketh, Andrew R., Laing, Kenneth G., Monahan, Irene M., Heaney, Judith, Pelosi, Emanuela, Silviera, Siona, Wilson-Davies, Eleri, Fryer, Helen, Adams, Helen, du Plessis, Louis, Johnson, Rob, Harvey, William T., Hughes, Joseph, Orton, Richard J., Spurgin, Lewis G., Bourgeois, Yann, Ruis, Chris, O'Toole, Áine, Gourtovaia, Marina, Sanderson, Theo, Fraser, Christophe, Edgeworth, Jonathan, Breuer, Judith, Michell, Stephen L., Todd, John A., John, Michaela, Buck, David, Gajee, Kavitha, Kay, Gemma L., Heyburn, David, Charalampous, Themoula, Alcolea-Medina, Adela, Kitchman, Katie, McNal, Alan, Pritch, David T., Dervisevic, Samir, Muir, Peter, Robinson, Esther, Vipond, Barry B., Ramadan, Newara A., Jeanes, Christopher, Weldon, Danni, Catalan, Jana, Jones, Neil, da Silva Filipe, Ana, Williams, Chris, Fuchs, Marc, Miskelly, Julia, Jeffries, Aaron R., Oliver, Karen, Park, Naomi R., Ash, Amy, Koshy, Cherian, Barrow, Magdalena, Buchan, Sarah L., Mantzouratou, Anna, Clark, Gemma, Holmes, Christopher W., Campbell, Sharon, Davis, Thomas, Tan, Ngee Keong, Brown, Julianne R., Harris, Kathryn A., Kidd, Stephen P., Grant, Paul R., Xu-McCrae, Li, Cox, Alison, Madona, Pinglawathee, Pond, Marcus, Randell, Paul A., Withell, Karen T., Williams, Cheryl, Graham, Clive, Denton-Smith, Rebecca, Swindells, Emma, Turnbull, Robyn, Sloan, Tim J., Bosworth, Andrew, Hutchings, Stephanie, Pymont, Hannah M., Casey, Anna, Ratcliffe, Liz, Jones, Christopher R., Knight, Bridget A., Haque, Tanzina, Hart, Jennifer, Irish-Tavares, Dianne, Witele, Eric, Mower, Craig, Watson DipHE, Louisa K., Collins, Jennifer, Eltringham, Gary, Crudgington, Dorian, Macklin, Ben, Iturriza-Gomara, Miren, Lucaci, Anita O., McClure, Patrick C., Carlile, Matthew, Holmes, Nadine, Moore, Christopher, Storey, Nathaniel, Rooke, Stefan, Yebra, Gonzalo, Craine, Noel, Perry, Malorie, Alikhan, Nabil-Fareed, Bridgett, Stephen, Cook, Kate F., Fearn, Christopher, Goudarzi, Salman, Lyons, Ronan A., Williams, Thomas, Haldenby, Sam T., Durham, Jillian, Leonard, Steven, Davies, Robert M., Batra, Rahul, Blane, Beth, Spyer, Moira J., Smith, Perminder, Yavus, Mehmet, Williams, Rachel J., Mahanama, Adhyana IK., Samaraweera, Buddhini, Girgis, Sophia T., Hansford, Samantha E., Green, Angie, Beaver, Charlotte, Bellis, Katherine L., Dorman, Matthew J., Kay, Sally, Prestwood, Liam, Rajatileka, Shavanthi, Quick, Joshua, Poplawski, Radoslaw, Reynolds, Nicola, Mack, Andrew, Morriss, Arthur, Whalley, Thomas, Patel, Bindi, Georgana, Iliana, Hosmillo, Myra, Pinckert, Malte L., Stockton, Joanne, Henderson, John H., Hollis, Amy, Stanley, William, Yew, Wen C., Myers, Richard, Thornton, Alicia, Adams, Alexander, Annett, Tara, Asad, Hibo, Birchley, Alec, Coombes, Jason, Evans, Johnathan M., Fina, Laia, Gatica-Wilcox, Bree, Gilbert, Lauren, Graham, Lee, Hey, Jessica, Hilvers, Ember, Jones, Sophie, Jones, Hannah, Kumziene-Summerhayes, Sara, McKerr, Caoimhe, Powell, Jessica, Pugh, Georgia, Taylor, Sarah, Trotter, Alexander J., Williams, Charlotte A., Kermack, Leanne M., Foulkes, Benjamin H., Gallis, Marta, Hornsby, Hailey R., Louka, Stavroula F., Pohare, Manoj, Wolverson, Paige, Zhang, Peijun, MacIntyre-Cockett, George, Trebes, Amy, Moll, Robin J., Ferguson, Lynne, Goldstein, Emily J., Maclean, Alasdair, Tomb, Rachael, Starinskij, Igor, Thomson, Laura, Southgate, Joel, Kraemer, Moritz UG., Raghwani, Jayna, Zarebski, Alex E., Boyd, Olivia, Geidelberg, Lily, Illingworth, Chris J., Jackson, Chris, Pascall, David, Vattipally, Sreenu, Freeman, Timothy M., Hsu, Sharon N., Lindsey, Benjamin B., James, Keith, Lewis, Kevin, Tonkin-Hill, Gerry, Tovar-Corona, Jaime M., Cox, MacGregor, Abudahab, Khalil, Menegazzo, Mirko, Taylor, Ben EW., Yeats, Corin A., Mukaddas, Afrida, Wright, Derek W., de Oliveira Martins, Leonardo, Colquhoun, Rachel, Hill, Verity, Jackson, Ben, McCrone, J.T., Medd, Nathan, Scher, Emily, Keatley, Jon-Paul, Curran, Tanya, Morgan, Sian, Maxwell, Patrick, Smith, Ken, Eldirdiri, Sahar, Kenyon, Anita, Holmes, Alison H., Price, James R., Wyatt, Tim, Mather, Alison E., Skvortsov, Timofey, Hartley, John A., Guest, Martyn, Kitchen, Christine, Merrick, Ian, Munn, Robert, Bertolusso, Beatrice, Lynch, Jessica, Vernet, Gabrielle, Kirk, Stuart, Wastnedge, Elizabeth, Stanley, Rachael, Idle, Giles, Bradley, Declan T., Killough, Nicholas F., Poyner, Jennifer, Mori, Matilde, Jones, Owen, Wright, Victoria, Brooks, Ellena, Churcher, Carol M., Delgado Callico, Laia, Fragakis, Mireille, Galai, Katerina, Jermy, Andrew, Judges, Sarah, Markov, Anna, McManus, Georgina M., Smith, Kim S., Thomas-McEwen, Peter MD., Westwick, Elaine, Attwood, Stephen W., Bolt, Frances, Davies, Alisha, De Lacy, Elen, Downing, Fatima, Edwards, Sue, Meadows, Lizzie, Jeremiah, Sarah, Smith, Nikki, Foulser, Luke, Patel, Amita, Berry, Louise, Boswell, Tim, Fleming, Vicki M., Howson-Wells, Hannah C., Joseph, Amelia, Khakh, Manjinder, Lister, Michelle M., Bird, Paul W., Fallon, Karlie, Helmer, Thomas, McMurray, Claire L., Odedra, Mina, Shaw, Jessica, Tang, Julian W., Willford, Nicholas J., Blakey, Victoria, Raviprakash, Veena, Sheriff, Nicola, Williams, Lesley-Anne, Feltwell, Theresa, Bedford, Luke, Cargill, James S., Hughes, Warwick, Moore, Jonathan, Stonehouse, Susanne, Atkinson, Laura, Lee, Jack CD., Shah, Divya, Ohemeng-Kumi, Natasha, Ramble, John, Sehmi, Jasveen, Williams, Rebecca, Chatterton, Wendy, Pusok, Monika, Everson, William, Castigador, Anibolina, Macnaughton, Emily, El Bouzidi, Kate, Lampejo, Temi, Sudhanva, Malur, Breen, Cassie, Sluga, Graciela, Ahmad, Shazaad SY., George, Ryan P., Machin, Nicholas W., Binns, Debbie, James, Victoria, Blacow, Rachel, Coupland, Lindsay, Smith, Louise, Barton, Edward, Padgett, Debra, Scott, Garren, Cross, Aidan, Mirfenderesky, Mariyam, Greenaway, Jane, Cole, Kevin, Clarke, Phillip, Duckworth, Nichola, Walsh, Sarah, Bicknell, Kelly, Impey, Robert, Wyllie, Sarah, Hopes, Richard, Bishop, Chloe, Chalker, Vicki, Harrison, Ian, Gifford, Laura, Molnar, Zoltan, Auckland, Cressida, Evans, Cariad, Johnson, Kate, Partridge, David G., Raza, Mohammad, Baker, Paul, Bonner, Stephen, Essex, Sarah, Murray, Leanne J., Lawton, Andrew I., Burton-Fanning, Shirelle, Payne, Brendan AI., Waugh, Sheila, Gomes, Andrea N., Kimuli, Maimuna, Murray, Darren R., Ashfield, Paula, Dobie, Donald, Ashford, Fiona, Best, Angus, Crawford, Liam, Cumley, Nicola, Mayhew, Megan, Megram, Oliver, Mirza, Jeremy, Moles-Garcia, Emma, Percival, Benita, Driscoll, Megan, Ensell, Leah, Lowe, Helen L., Maftei, Laurentiu, Mondani, Matteo, Chaloner, Nicola J., Cogger, Benjamin J., Easton, Lisa J., Huckson, Hannah, Lewis, Jonathan, Lowdon, Sarah, Malone, Cassandra S., Munemo, Florence, Mutingwende, Manasa, Nicodemi, Roberto, Podplomyk FD, Olga, Somassa, Thomas, Beggs, Andrew, Richter, Alex, Cormie, Claire, Dias, Joana, Forrest, Sally, Higginson, Ellen E., Maes, Mailis, Young, Jamie, Davidson, Rose K., Jackson, Kathryn A., Keeley, Alexander J., Ball, Jonathan, Byaruhanga, Timothy, Chappell, Joseph G., Dey, Jayasree, Hill, Jack D., Park, Emily J., Fanaie, Arezou, Hilson, Rachel A., Yaze, Geraldine, Lo, Stephanie, Afifi, Safiah, Beer, Robert, Maksimovic, Joshua, McCluggage, Kathryn, Spellman, Karla, Bresner, Catherine, Fuller, William, Marchbank, Angela, Workma, Trudy, Shelest, Ekaterina, Debebe, Johnny, Sang, Fei, Francois, Sarah, Gutierrez, Bernardo, Vasylyeva, Tetyana I., Flaviani, Flavia, Ragonnet-Cronin, Manon, Smollett, Katherine L., Broos, Alice, Mair, Daniel, Nichols, Jenna, Nomikou, Kyriaki, Tong, Lily, Tsatsani, Ioulia, O'Brien, Sarah, Rushton, Steven, Sanderson, Roy, Perkins, Jon, Cotton, Seb, Gallagher, Abbie, Allara, Elias, Pearson, Clare, Bibby, David, Dabrer, Gavin, Ellaby, Nicholas, Gallagher, Eileen, Hubb, Jonathan, Lackenby, Angie, Lee, David, Manesis, Nikos, Mbisa, Tamyo, Platt, Steven, Twohig, Katherine A., Morgan, Mari, Aydin, Alp, Baker, David J., Foster-Nyarko, Ebenezer, Prosolek, Sophie J., Rudder, Steven, Baxter, Chris, Carvalho, Sílvia F., Lavin, Deborah, Mariappan, Arun, Radulescu, Clara, Singh, Aditi, Tang, Miao, Morcrette, Helen, Bayzid, Nadua, Cotic, Marius, Balcazar, Carlos E., Gallagher, Michael D., Maloney, Daniel, Stanton, Thomas D., Williamson, Kathleen A., Manley, Robin, Michelsen, Michelle L., Sambles, Christine M., Studholme, David J., Warwick-Dugdale, Joanna, Eccles, Richard, Gemmell, Matthew, Gregory, Richard, Hughes, Margaret, Nelson, Charlotte, Rainbow, Lucille, Vamos, Edith E., Webster, Hermione J., Whitehead, Mark, Wierzbicki, Claudia, Angyal, Adrienn, Green, Luke R., Whiteley, Max, Betteridge, Emma, Bronner, Iraad F., Farr, Ben W., Goodwin, Scott, Lensing, Stefanie V., McCarthy, Shane A., Quail, Michael A., Rajan, Diana, Redshaw, Nicholas M., Scott, Carol, Shirley, Lesley, Thurston, Scott AJ., Rowe, Will, Gaskin, Amy, Le-Viet, Thanh, Bonfield, James, Liddle, Jennifier, Whitwham, Andrew, Cotton, S., McHugh, M.P., Dewar, R., Haas, J.G., and Templeton, K.

Published
2023
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20. Modelling the impact of host galaxy dust on type Ia supernova distance measurements.

Author

Popovic, B, Wiseman, P, Sullivan, M, Smith, M, González-Gaitán, S, Scolnic, D, Duarte, J, Armstrong, P, Asorey, J, Brout, D, Carollo, D, Galbany, L, Glazebrook, K, Kelsey, L, Kessler, R, Lidman, C, Lee, J, Lewis, G F, Möller, A, and Nichol, R C

Subjects
TYPE I supernovae, EXPANDING universe, ORDER statistics, GALAXY spectra, DARK energy
Abstract

Type Ia Supernovae (SNe Ia) are a critical tool in measuring the accelerating expansion of the universe. Recent efforts to improve these standard candles have focused on incorporating the effects of dust on distance measurements with SNe Ia. In this paper, we use the state-of-the-art Dark Energy Survey 5 year sample to evaluate two different families of dust models: empirical extinction models derived from SNe Ia data and physical attenuation models from the spectra of galaxies. In this work, we use realistic simulations of SNe Ia to forward-model different models of dust and compare summary statistics in order to test different assumptions and impacts on SNe Ia data. Among the SNe Ia-derived models, we find that a logistic function of the total-to-selective extinction |$R_V$| best recreates the correlations between supernova distance measurements and host galaxy properties, though an additional 0.02 mag of grey scatter is needed to fully explain the scatter in SNIa brightness in all cases. These empirically derived extinction distributions are highly incompatible with the physical attenuation models from galactic spectral measurements. From these results, we conclude that SNe Ia must either preferentially select extreme ends of galactic dust distributions, or that the characterization of dust along the SNe Ia line-of-sight is incompatible with that of galactic dust distributions. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Controlling and predicting alkyl-onium electronic structure.

Author

Tompkins, Frances K. Towers, Parker, Lewis G., Fogarty, Richard M., Seymour, Jake M., Gousseva, Ekaterina, Grinter, David C., Palgrave, Robert G., Smith, Christopher D., Bennett, Roger A., Matthews, Richard P., and Lovelock, Kevin R. J.

Subjects
*X-ray photoelectron spectroscopy, *AB-initio calculations, *ELECTRONIC structure, *BIOCIDES, *ATOMS
Abstract

X-ray photoelectron spectroscopy (XPS) and ab initio calculations show that fully alkylated onium cation electronic structure can be tuned using both the alkyl chains and the central onium atom. The key for tuning the central onium atom is methyl versus longer alkyl chains, allowing selection of the optimum cation for a wide range of applications, including catalysis and biocides. [ABSTRACT FROM AUTHOR]

Published
2024
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22. The Dark Energy Survey Supernova Program: slow supernovae show cosmological time dilation out to z ~ 1.

Author

White, R M T, Davis, T M, Lewis, G F, Brout, D, Galbany, L, Glazebrook, K, Hinton, S R, Lee, J, Lidman, C, Möller, A, Sako, M, Scolnic, D, Smith, M, Sullivan, M, Sánchez, B O, Shah, P, Vincenzi, M, Wiseman, P, Abbott, T M C, and Aguena, M

Subjects
TYPE I supernovae, TIME dilation, LIGHT curves, DARK energy, SUPERNOVAE
Abstract

We present a precise measurement of cosmological time dilation using the light curves of 1504 Type Ia supernovae from the Dark Energy Survey spanning a redshift range |$0.1\lesssim z\lesssim 1.2$|⁠. We find that the width of supernova light curves is proportional to |$(1+z)$|⁠ , as expected for time dilation due to the expansion of the Universe. Assuming Type Ia supernovae light curves are emitted with a consistent duration |$\Delta t_{\rm em}$|⁠ , and parametrizing the observed duration as |$\Delta t_{\rm obs}=\Delta t_{\rm em}(1+z)^b$|⁠ , we fit for the form of time dilation using two methods. First, we find that a power of |$b \approx 1$| minimizes the flux scatter in stacked subsamples of light curves across different redshifts. Secondly, we fit each target supernova to a stacked light curve (stacking all supernovae with observed bandpasses matching that of the target light curve) and find |$b=1.003\pm 0.005$| (stat) |$\pm \, 0.010$| (sys). Thanks to the large number of supernovae and large redshift-range of the sample, this analysis gives the most precise measurement of cosmological time dilation to date, ruling out any non-time-dilating cosmological models at very high significance. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Strain-specific differences in the interactions of the cucumber mosaic virus 2b protein with the viral 1a and host Argonaute 1 proteins.

Author

Crawshaw, Sam, Watt, Lewis G., Murphy, Alex M., and Carr, John P.

Subjects
*ARGONAUTE proteins, *ARABIDOPSIS proteins, *INSECT host plants, *DOUBLE-stranded RNA, *VIRAL proteins
Abstract

The cucumber mosaic virus (CMV) 2b protein is a potent counter-defense factor and symptom determinant that inhibits antiviral silencing by titrating short double-stranded RNAs. Expression of the CMV subgroup IA strain Fny-CMV 2b protein in transgenic Arabidopsis thaliana plants disrupts microRNA-mediated cleavage of host mRNAs by binding Argonaute 1 (AGO1), leading to symptom-like phenotypes. This also triggers AGO2-mediated antiviral resistance and resistance to CMV’s aphid vectors. However, in authentic viral infections, the Fny-CMV 1a protein modulates 2b-AGO1 interactions, inhibiting induction of AGO2-mediated virus resistance and aphid resistance. Contrastingly, 2b proteins encoded by the subgroup II strain LS-CMV and the recently discovered subgroup IA strain Ho-CMV induce no symptoms. Confocal laser scanning microscopy, bimolecular fluorescence complementation, and co-immunoprecipitation showed that Fny-CMV and Ho-CMV 2b proteins interact with Fny-CMV and LS-CMV 1a proteins, while the CMV-LS 2b protein cannot. However, Fny-CMV, Ho-CMV, and LS-CMV 2b proteins, all interacted with AGO1, but while AGO1-Fny2b complexes occurred in the nucleus and cytoplasm, corresponding AGO1-2b complexes for LS-CMV and Ho-CMV accumulated almost exclusively in nuclei. AGO2 transcript accumulation was used to assess the inhibition of AGO1-mediated mRNA degradation. Fny-CMV 2b induced a fivefold increase in AGO2 accumulation, but LS-CMV and Ho-CMV 2b proteins induced only twofold increases. Thus, these 2b proteins bind AGO1 but are less effective at inhibiting AGO1 activity. We conclude that the intracellular localization of 2b-AGO1 complexes influences the degree to which a 2b protein inhibits microRNA-mediated host mRNA degradation and that cytoplasmic AGO1 has the strongest influence on miRNA-mediated cellular mRNA turnover. IMPORTANCE The cucumber mosaic virus (CMV) 2b protein was among the first discovered viral suppressors of RNA silencing. It has additional pro-viral functions through effects on plant defensive signaling pathways mediated by salicylic acid and jasmonic acid, the abscisic acid pathway and virus-induced drought resistance, and on host plant interactions with insect vectors. Many of these effects occur due to interaction with the important host RNA silencing component Argonaute 1 (AGO1). It was thought that only 2b proteins of “severe” CMV strains interacted with AGO1 and inhibited its microRNA-mediated “slicing” of cellular mRNAs and that the lack of interaction with AGO1 explained the moderate symptoms typically seen in plants infected with mild CMV strains. Our work overthrows this paradigm by showing that mild strain CMV 2b proteins can interact with AGO1, but their in vivo localization prevents them from interacting with AGO1 molecules present in the infected cell cytoplasm. [ABSTRACT FROM AUTHOR]

Published
2024
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26. The impact of viral mutations on recognition by SARS-CoV-2 specific T cells

Author

Aanensen, David M., Abudahab, Khalil, Adams, Helen, Adams, Alexander, Afifi, Safiah, Aggarwal, Dinesh, Ahmad, Shazaad S.Y., Aigrain, Louise, Alcolea-Medina, Adela, Alikhan, Nabil-Fareed, Allara, Elias, Amato, Roberto, Annett, Tara, Aplin, Stephen, Ariani, Cristina V., Asad, Hibo, Ash, Amy, Ashfield, Paula, Ashford, Fiona, Atkinson, Laura, Attwood, Stephen W., Auckland, Cressida, Aydin, Alp, Baker, David J., Baker, Paul, Balcazar, Carlos E., Ball, Jonathan, Barrett, Jeffrey C., Barrow, Magdalena, Barton, Edward, Bashton, Matthew, Bassett, Andrew R., Batra, Rahul, Baxter, Chris, Bayzid, Nadua, Beaver, Charlotte, Beckett, Angela H., Beckwith, Shaun M., Bedford, Luke, Beer, Robert, Beggs, Andrew, Bellis, Katherine L., Berry, Louise, Bertolusso, Beatrice, Best, Angus, Betteridge, Emma, Bibby, David, Bicknell, Kelly, Binns, Debbie, Birchley, Alec, Bird, Paul W., Bishop, Chloe, Blacow, Rachel, Blakey, Victoria, Blane, Beth, Bolt, Frances, Bonfield, James, Bonner, Stephen, Bonsall, David, Boswell, Tim, Bosworth, Andrew, Bourgeois, Yann, Boyd, Olivia, Bradley, Declan T., Breen, Cassie, Bresner, Catherine, Breuer, Judith, Bridgett, Stephen, Bronner, Iraad F., Brooks, Ellena, Broos, Alice, Brown, Julianne R., Bucca, Giselda, Buchan, Sarah L., Buck, David, Bull, Matthew, Burns, Phillipa J., Burton-Fanning, Shirelle, Byaruhanga, Timothy, Byott, Matthew, Campbell, Sharon, Carabelli, Alessandro M., Cargill, James S., Carlile, Matthew, Carvalho, Silvia F., Casey, Anna, Castigador, Anibolina, Catalan, Jana, Chalker, Vicki, Chaloner, Nicola J., Chand, Meera, Chappell, Joseph G., Charalampous, Themoula, Chatterton, Wendy, Chaudhry, Yasmin, Churcher, Carol M., Clark, Gemma, Clarke, Phillip, Cogger, Benjamin J., Cole, Kevin, Collins, Jennifer, Colquhoun, Rachel, Connor, Thomas R., Cook, Kate F., Coombes, Jason, Corden, Sally, Cormie, Claire, Cortes, Nicholas, Cotic, Marius, Cotton, Seb, Cottrell, Simon, Coupland, Lindsay, Cox, MacGregor, Cox, Alison, Craine, Noel, Crawford, Liam, Cross, Aidan, Crown, Matthew R., Crudgington, Dorian, Cumley, Nicola, Curran, Tanya, Curran, Martin D., da Silva Filipe, Ana, Dabrera, Gavin, Darby, Alistair C., Davidson, Rose K., Davies, Alisha, Davies, Robert M., Davis, Thomas, de Angelis, Daniela, De Lacy, Elen, de Oliveira Martins, Leonardo, Debebe, Johnny, Denton-Smith, Rebecca, Dervisevic, Samir, Dewar, Rebecca, Dey, Jayasree, Dias, Joana, Dobie, Donald, Dorman, Matthew J., Downing, Fatima, Driscoll, Megan, du Plessis, Louis, Duckworth, Nichola, Durham, Jillian, Eastick, Kirstine, Easton, Lisa J., Eccles, Richard, Edgeworth, Jonathan, Edwards, Sue, El Bouzidi, Kate, Eldirdiri, Sahar, Ellaby, Nicholas, Elliott, Scott, Eltringham, Gary, Ensell, Leah, Erkiert, Michelle J., Zamudio, Marina Escalera, Essex, Sarah, Evans, Johnathan M., Evans, Cariad, Everson, William, Fairley, Derek J., Fallon, Karlie, Fanaie, Arezou, Farr, Ben W., Fearn, Christopher, Feltwell, Theresa, Ferguson, Lynne, Fina, Laia, Flaviani, Flavia, Fleming, Vicki M., Forrest, Sally, Foster-Nyarko, Ebenezer, Foulkes, Benjamin H., Foulser, Luke, Fragakis, Mireille, Frampton, Dan, Francois, Sarah, Fraser, Christophe, Freeman, Timothy M., Fryer, Helen, Fuchs, Marc, Fuller, William, Gajee, Kavitha, Galai, Katerina, Gallagher, Abbie, Gallagher, Eileen, Gallagher, Michael D., Gallis, Marta, Gaskin, Amy, Gatica-Wilcox, Bree, Geidelberg, Lily, Gemmell, Matthew, Georgana, Iliana, George, Ryan P., Gifford, Laura, Gilbert, Lauren, Girgis, Sophia T., Glaysher, Sharon, Goldstein, Emily J., Golubchik, Tanya, Gomes, Andrea N., Gonçalves, Sónia, Goodfellow, Ian G., Goodwin, Scott, Goudarzi, Salman, Gourtovaia, Marina, Graham, Clive, Graham, Lee, Grant, Paul R., Green, Luke R., Green, Angie, Greenaway, Jane, Gregory, Richard, Guest, Martyn, Gunson, Rory N., Gupta, Ravi K., Gutierrez, Bernardo, Haldenby, Sam T., Hamilton, William L., Hansford, Samantha E., Haque, Tanzina, Harris, Kathryn A., Harrison, Ian, Harrison, Ewan M., Hart, Jennifer, Hartley, John A., Harvey, William T., Harvey, Matthew, Hassan-Ibrahim, Mohammed O., Heaney, Judith, Helmer, Thomas, Henderson, John H., Hesketh, Andrew R., Hey, Jessica, Heyburn, David, Higginson, Ellen E., Hill, Verity, Hill, Jack D., Hilson, Rachel A., Hilvers, Ember, Holden, Matthew T.G., Hollis, Amy, Holmes, Christopher W., Holmes, Nadine, Holmes, Alison H., Hopes, Richard, Hornsby, Hailey R., Hosmillo, Myra, Houlihan, Catherine, Howson-Wells, Hannah C., Hubb, Jonathan, Huckson, Hannah, Hughes, Warwick, Hughes, Joseph, Hughes, Margaret, Hutchings, Stephanie, Idle, Giles, Illingworth, Chris J., Impey, Robert, Irish-Tavares, Dianne, Iturriza-Gomara, Miren, Izuagbe, Rhys, Jackson, Chris, Jackson, Ben, Jackson, Leigh M., Jackson, Kathryn A., Jackson, David K., Jahun, Aminu S., James, Victoria, James, Keith, Jeanes, Christopher, Jeffries, Aaron R., Jeremiah, Sarah, Jermy, Andrew, John, Michaela, Johnson, Rob, Johnson, Kate, Johnston, Ian, Jones, Owen, Jones, Sophie, Jones, Hannah, Jones, Christopher R., Jones, Neil, Joseph, Amelia, Judges, Sarah, Kay, Gemma L., Kay, Sally, Keatley, Jon-Paul, Keeley, Alexander J., Kenyon, Anita, Kermack, Leanne M., Khakh, Manjinder, Kidd, Stephen P., Kimuli, Maimuna, Kirk, Stuart, Kitchen, Christine, Kitchman, Katie, Knight, Bridget A., Koshy, Cherian, Kraemer, Moritz U.G., Kumziene-Summerhayes, Sara, Kwiatkowski, Dominic, Lackenby, Angie, Laing, Kenneth G., Lampejo, Temi, Langford, Cordelia F., Lavin, Deborah, Lawton, Andrew I., Lee, Jack, Lee, David, Lensing, Stefanie V., Leonard, Steven, Levett, Lisa J., Le-Viet, Thanh, Lewis, Jonathan, Lewis, Kevin, Liddle, Jennifier, Liggett, Steven, Lillie, Patrick J., Lister, Michelle M., Livett, Rich, Lo, Stephanie, Loman, Nicholas J., Loose, Matthew W., Louka, Stavroula F., Loveson, Katie F., Lowdon, Sarah, Lowe, Hannah, Lowe, Helen L., Lucaci, Anita O., Ludden, Catherine, Lynch, Jessica, Lyons, Ronan A., Lythgoe, Katrina, Machin, Nicholas W., MacIntyre-Cockett, George, Mack, Andrew, Macklin, Ben, Maclean, Alasdair, Macnaughton, Emily, Madona, Pinglawathee, Maes, Mailis, Maftei, Laurentiu, Mahanama, Adhyana I.K., Mahungu, Tabitha W., Mair, Daniel, Maksimovic, Joshua, Malone, Cassandra S., Maloney, Daniel, Manesis, Nikos, Manley, Robin, Mantzouratou, Anna, Marchbank, Angela, Mariappan, Arun, Martincorena, Inigo, Martinez Nunez, Rocio T., Mather, Alison E., Maxwell, Patrick, Mayhew, Megan, Mbisa, Tamyo, McCann, Clare M., McCarthy, Shane A., McCluggage, Kathryn, McClure, Patrick C., McCrone, J.T., McHugh, Martin P., McKenna, James P., McKerr, Caoimhe, McManus, Georgina M., McMurray, Claire L., McMurray, Claire, McNally, Alan, Meadows, Lizzie, Medd, Nathan, Megram, Oliver, Menegazzo, Mirko, Merrick, Ian, Michell, Stephen L., Michelsen, Michelle L., Mirfenderesky, Mariyam, Mirza, Jeremy, Miskelly, Julia, Moles-Garcia, Emma, Moll, Robin J., Molnar, Zoltan, Monahan, Irene M., Mondani, Matteo, Mookerjee, Siddharth, Moore, Christopher, Moore, Jonathan, Moore, Nathan, Moore, Catherine, Morcrette, Helen, Morgan, Sian, Morgan, Mari, Mori, Matilde, Morriss, Arthur, Moses, Samuel, Mower, Craig, Muir, Peter, Mukaddas, Afrida, Munemo, Florence, Munn, Robert, Murray, Abigail, Murray, Leanne J., Murray, Darren R., Mutingwende, Manasa, Myers, Richard, Nastouli, Eleni, Nebbia, Gaia, Nelson, Andrew, Nelson, Charlotte, Nicholls, Sam, Nichols, Jenna, Nicodemi, Roberto, Nomikou, Kyriaki, O’Grady, Justin, O'Brien, Sarah, Odedra, Mina, Ohemeng-Kumi, Natasha, Oliver, Karen, Orton, Richard J., Osman, Husam, xeine O'Toole, Pacchiarini, Nicole, Padgett, Debra, Page, Andrew J., Park, Emily J., Park, Naomi R., Parmar, Surendra, Partridge, David G., Pascall, David, Patel, Amita, Patel, Bindi, Paterson, Steve, Payne, Brendan A.I., Peacock, Sharon J., Pearson, Clare, Pelosi, Emanuela, Percival, Benita, Perkins, Jon, Perry, Malorie, Pinckert, Malte L., Platt, Steven, Podplomyk, Olga, Pohare, Manoj, Pond, Marcus, Pope, Cassie F., Poplawski, Radoslaw, Powell, Jessica, Poyner, Jennifer, Prestwood, Liam, Price, Anna, Price, James R., Prieto, Jacqui A., Pritchard, David T., Prosolek, Sophie J., Pugh, Georgia, Pusok, Monika, Pybus, Oliver G., Pymont, Hannah M., Quail, Michael A., Quick, Joshua, Radulescu, Clara, Raghwani, Jayna, Ragonnet-Cronin, Manon, Rainbow, Lucille, Rajan, Diana, Rajatileka, Shavanthi, Ramadan, Newara A., Rambaut, Andrew, Ramble, John, Randell, Paul A., Randell, Paul, Ratcliffe, Liz, Raviprakash, Veena, Raza, Mohammad, Redshaw, Nicholas M., Rey, Sara, Reynolds, Nicola, Richter, Alex, Robertson, David L., Robinson, Esther, Robson, Samuel C., Rogan, Fiona, Rooke, Stefan, Rowe, Will, Roy, Sunando, Rudder, Steven, Ruis, Chris, Rushton, Steven, Ryan, Felicity, Saeed, Kordo, Samaraweera, Buddhini, Sambles, Christine M., Sanderson, Roy, Sanderson, Theo, Sang, Fei, Sass, Thea, Scher, Emily, Scott, Garren, Scott, Carol, Sehmi, Jasveen, Shaaban, Sharif, Shah, Divya, Shaw, Jessica, Shelest, Ekaterina, Shepherd, James G., Sheridan, Liz A., Sheriff, Nicola, Shirley, Lesley, Sillitoe, John, Silviera, Siona, Simpson, David A., Singh, Aditi, Singleton, Dawn, Skvortsov, Timofey, Sloan, Tim J., Sluga, Graciela, Smith, Ken, Smith, Kim S., Smith, Perminder, Smith, Darren L., Smith, Louise, Smith, Colin P., Smith, Nikki, Smollett, Katherine L., Snell, Luke B., Somassa, Thomas, Southgate, Joel, Spellman, Karla, Spencer Chapman, Michael H., Spurgin, Lewis G., Spyer, Moira J., Stanley, Rachael, Stanley, William, Stanton, Thomas D., Starinskij, Igor, Stockton, Joanne, Stonehouse, Susanne, Storey, Nathaniel, Studholme, David J., Sudhanva, Malur, Swindells, Emma, Taha, Yusri, Tan, Ngee Keong, Tang, Julian W., Tang, Miao, Taylor, Ben E.W., Taylor, Joshua F., Taylor, Sarah, Temperton, Ben, Templeton, Kate E., Thomas, Claire, Thomson, Laura, Thomson, Emma C., Thornton, Alicia, Thurston, Scott A.J., Todd, John A., Tomb, Rachael, Tong, Lily, Tonkin-Hill, Gerry, Torok, M. Estee, Tovar-Corona, Jaime M., Trebes, Amy, Trotter, Alexander J., Tsatsani, Ioulia, Turnbull, Robyn, Twohig, Katherine A., Umpleby, Helen, Underwood, Anthony P., Vamos, Edith E., Vasylyeva, Tetyana I., Vattipally, Sreenu, Vernet, Gabrielle, Vipond, Barry B., Volz, Erik M., Walsh, Sarah, Wang, Dennis, Warne, Ben, Warwick-Dugdale, Joanna, Wastnedge, Elizabeth, Watkins, Joanne, Watson, Louisa K., Waugh, Sheila, Webster, Hermione J., Weldon, Danni, Westwick, Elaine, Whalley, Thomas, Wheeler, Helen, Whitehead, Mark, Whiteley, Max, Whitwham, Andrew, Wierzbicki, Claudia, Willford, Nicholas J., Williams, Lesley-Anne, Williams, Rebecca, Williams, Cheryl, Williams, Chris, Williams, Charlotte A., Williams, Rachel J., Williams, Thomas, Williams, Catryn, Williamson, Kathleen A., Wilson-Davies, Eleri, Witele, Eric, Withell, Karen T., Witney, Adam A., Wolverson, Paige, Wong, Nick, Workman, Trudy, Wright, Victoria, Wright, Derek W., Wyatt, Tim, Wyllie, Sarah, Xu-McCrae, Li, Yavus, Mehmet, Yaze, Geraldine, Yeats, Corin A., Yebra, Gonzalo, Yew, Wen C., Young, Gregory R., Young, Jamie, Zarebski, Alex E., Zhang, Peijun, Baillie, J. Kenneth, Semple, Malcolm G., Openshaw, Peter J.M., Carson, Gail, Alex, Beatrice, Andrikopoulos, Petros, Bach, Benjamin, Barclay, Wendy S., Bogaert, Debby, Chechi, Kanta, Cooke, Graham S., Docherty, Annemarie B., Correia, Gonçalo dos Santos, Dumas, Marc-Emmanuel, Dunning, Jake, Fletcher, Tom, Green, Christopher A., Greenhalf, William, Griffin, Julian L., Gupta, Rishi K., Harrison, Ewen M., Hiscox, Julian A., Wai Ho, Antonia Ying, Horby, Peter W., Ijaz, Samreen, Khoo, Saye, Klenerman, Paul, Law, Andrew, Lewis, Matthew R., Liggi, Sonia, Lim, Wei Shen, Maslen, Lynn, Mentzer, Alexander J., Merson, Laura, Meynert, Alison M., Noursadeghi, Mahdad, Olanipekun, Michael, Osagie, Anthonia, Palmarini, Massimo, Palmieri, Carlo, Paxton, William A., Pollakis, Georgios, Price, Nicholas, Russell, Clark D., Sancho-Shimizu, Vanessa, Sands, Caroline J., Scott, Janet T., Sigfrid, Louise, Solomon, Tom, Sriskandan, Shiranee, Stuart, David, Summers, Charlotte, Swann, Olivia V., Takats, Zoltan, Takis, Panteleimon, Tedder, Richard S., Thompson, A.A. Roger, Thwaites, Ryan S., Zambon, Maria, Hardwick, Hayley, Donohue, Chloe, Griffiths, Fiona, Oosthuyzen, Wilna, Donegan, Cara, Spencer, Rebecca G., Dalton, Jo, Girvan, Michelle, Saviciute, Egle, Roberts, Stephanie, Harrison, Janet, Marsh, Laura, Connor, Marie, Halpin, Sophie, Jackson, Clare, Gamble, Carrol, Plotkin, Daniel, Lee, James, Leeming, Gary, Wham, Murray, Clohisey, Sara, Hendry, Ross, Scott-Brown, James, Shaw, Victoria, McDonald, Sarah E., Keating, Seán, Ahmed, Katie A., Armstrong, Jane A., Ashworth, Milton, Asiimwe, Innocent G., Bakshi, Siddharth, Barlow, Samantha L., Booth, Laura, Brennan, Benjamin, Bullock, Katie, Catterall, Benjamin W.A., Clark, Jordan J., Clarke, Emily A., Cole, Sarah, Cooper, Louise, Cox, Helen, Davis, Christopher, Dincarslan, Oslem, Dunn, Chris, Dyer, Philip, Elliott, Angela, Evans, Anthony, Finch, Lorna, Fisher, Lewis W.S., Foster, Terry, Garcia-Dorival, Isabel, Gunning, Philip, Hartley, Catherine, Jensen, Rebecca L., Jones, Christopher B., Jones, Trevor R., Khandaker, Shadia, King, Katharine, Kiy, Robyn T., Koukorava, Chrysa, Lake, Annette, Lant, Suzannah, Latawiec, Diane, Lavelle-Langham, Lara, Lefteri, Daniella, Lett, Lauren, Livoti, Lucia A., Mancini, Maria, McDonald, Sarah, McEvoy, Laurence, McLauchlan, John, Metelmann, Soeren, Miah, Nahida S., Middleton, Joanna, Mitchell, Joyce, Moore, Shona C., Murphy, Ellen G., Penrice-Randal, Rebekah, Pilgrim, Jack, Prince, Tessa, Reynolds, Will, Ridley, P. Matthew, Sales, Debby, Shaw, Victoria E., Shears, Rebecca K., Small, Benjamin, Subramaniam, Krishanthi S., Szemiel, Agnieska, Taggart, Aislynn, Tanianis-Hughes, Jolanta, Thomas, Jordan, Trochu, Erwan, van Tonder, Libby, Wilcock, Eve, Zhang, J. Eunice, Flaherty, Lisa, Maziere, Nicole, Cass, Emily, Carracedo, Alejandra Doce, Carlucci, Nicola, Holmes, Anthony, Massey, Hannah, Murphy, Lee, Wrobel, Nicola, McCafferty, Sarah, Morrice, Kirstie, MacLean, Alan, Adeniji, Kayode, Agranoff, Daniel, Agwuh, Ken, Ail, Dhiraj, Aldera, Erin L., Alegria, Ana, Allen, Sam, Angus, Brian, Ashish, Abdul, Atkinson, Dougal, Bari, Shahedal, Barlow, Gavin, Barnass, Stella, Barrett, Nicholas, Bassford, Christopher, Basude, Sneha, Baxter, David, Beadsworth, Michael, Bernatoniene, Jolanta, Berridge, John, Berry, Colin, Best, Nicola, Bothma, Pieter, Chadwick, David, Brittain-Long, Robin, Bulteel, Naomi, Burden, Tom, Burtenshaw, Andrew, Caruth, Vikki, Chambler, Duncan, Chee, Nigel, Child, Jenny, Chukkambotla, Srikanth, Clark, Tom, Collini, Paul, Cosgrove, Catherine, Cupitt, Jason, Cutino-Moguel, Maria-Teresa, Dark, Paul, Dawson, Chris, Donnison, Phil, Douthwaite, Sam, Drummond, Andrew, DuRand, Ingrid, Dushianthan, Ahilanadan, Dyer, Tristan, Eziefula, Chi, Fegan, Chrisopher, Finn, Adam, Fullerton, Duncan, Garg, Sanjeev, Garg, Atul, Gkrania-Klotsas, Effrossyni, Godden, Jo, Goldsmith, Arthur, Hardy, Elaine, Hartshorn, Stuart, Harvey, Daniel, Havalda, Peter, Hawcutt, Daniel B., Hobrok, Maria, Hodgson, Luke, Hormis, Anil, Jacobs, Michael, Jain, Susan, Jennings, Paul, Kaliappan, Agilan, Kasipandian, Vidya, Kegg, Stephen, Kelsey, Michael, Kendall, Jason, Kerrison, Caroline, Kerslake, Ian, Koch, Oliver, Koduri, Gouri, Koshy, George, Laha, Shondipon, Laird, Steven, Larkin, Susan, Leiner, Tamas, Lillie, Patrick, Limb, James, Linnett, Vanessa, Little, Jeff, Lyttle, Mark, MacMahon, Michael, MacNaughton, Emily, Mankregod, Ravish, Masson, Huw, Matovu, Elijah, McCullough, Katherine, McEwen, Ruth, Meda, Manjula, Mills, Gary, Minton, Jane, Mohandas, Kavya, Mok, Quen, Moon, James, Moore, Elinoor, Morgan, Patrick, Morris, Craig, Mortimore, Katherine, Mpenge, Mbiye, Mulla, Rohinton, Murphy, Michael, Nagel, Megan, Nagarajan, Thapas, Nelson, Mark, Norris, Lillian, O'Shea, Matthew K., Otahal, Igor, Ostermann, Marlies, Pais, Mark, Panchatsharam, Selva, Papakonstantinou, Danai, Paraiso, Hassan, Patel, Brij, Pattison, Natalie, Pepperell, Justin, Peters, Mark, Phull, Mandeep, Pintus, Stefania, Pooni, Jagtur Singh, Planche, Tim, Post, Frank, Price, David, Prout, Rachel, Rae, Nikolas, Reschreiter, Henrik, Reynolds, Tim, Richardson, Neil, Roberts, Mark, Roberts, Devender, Rose, Alistair, Rousseau, Guy, Ruge, Bobby, Ryan, Brendan, Saluja, Taranprit, Schmid, Matthias L., Shah, Aarti, Shanmuga, Prad, Sharma, Anil, Shawcross, Anna, Sizer, Jeremy, Shankar-Hari, Manu, Smith, Richard, Snelson, Catherine, Spittle, Nick, Staines, Nikki, Stambach, Tom, Stewart, Richard, Subudhi, Pradeep, Szakmany, Tamas, Tatham, Kate, Thomas, Jo, Thompson, Chris, Thompson, Robert, Tridente, Ascanio, Tupper-Carey, Darell, Twagira, Mary, Vallotton, Nick, Vancheeswaran, Rama, Vincent-Smith, Lisa, Visuvanathan, Shico, Vuylsteke, Alan, Waddy, Sam, Wake, Rachel, Walden, Andrew, Welters, Ingeborg, Whitehouse, Tony, Whittaker, Paul, Whittington, Ashley, Papineni, Padmasayee, Wijesinghe, Meme, Williams, Martin, Wilson, Lawrence, Winchester, Stephen, Wiselka, Martin, Wolverson, Adam, Wootton, Daniel G., Workman, Andrew, Yates, Bryan, Young, Peter, de Silva, Thushan I., Liu, Guihai, Lindsey, Benjamin B., Dong, Danning, Hsu, Nienyun Sharon, Shah, Dhruv, Wellington, Dannielle, Angyal, Adrienn, Brown, Rebecca, Parker, Matthew D., Ying, Zixi, Yao, Xuan, Turtle, Lance, Dunachie, Susanna, Maini, Mala K., Ogg, Graham, Knight, Julian C., Peng, Yanchun, Rowland-Jones, Sarah L., and Dong, Tao

Published
2021
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30. Effect of Tether Length on endo/exo Stereoselectivity in Alkene–Arene meta‐Photocycloaddition Reactions towards the Aphidocolin/Stemodin Scaffolds.

Author

Alshammari, Aljazy A. A., Boyd, Joseph W., Greaves, Nicola, Kettle, Jason G., McKendrick, John E., Parker, Lewis G., Russell, Andrew T., Sani, Abubakar, and Smith, Christopher D.

Subjects
PHARMACEUTICAL chemistry, NATURAL products, ALKENES, PHOTOCHEMISTRY, STEREOSELECTIVE reactions
Abstract

Intramolecular alkene‐arene meta‐photocycloadditions are powerful transformations that use the enhanced reactivity of photoexcited benzene rings to facilitate addition of an alkene 1,3 across donor groups and form complex three‐dimensional fused‐ring systems from readily accessible starting materials. Intramolecular examples have traditionally been restricted to three‐membered tethers, with cycloaddition resulting from exo‐conformation. However, by judicious tether design we have demonstrated that a four‐membered tether can also proceed in good yield; interestingly, via an endo exciplex (1.2 : 1) enabling access to both natural product skeletons and interesting scaffolds for medicinal chemistry research. [ABSTRACT FROM AUTHOR]

Published
2024
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31. Life history correlations and trade-offs resulting from selection for dispersal in Tribolium castaneum.

Author

Pointer, Michael D, Spurgin, Lewis G, McMullan, Mark, Butler, Simon, and Richardson, David S

Subjects
*LIFE history theory, *RED flour beetle, *TRIBOLIUM, *BIOLOGICAL fitness, *PEST control, *REPRODUCTION
Abstract

Dispersal is an important facet of the life history of many organisms and is, therefore, subject to selective pressure but does not evolve in isolation. Across nature, there are examples of dispersal syndromes and life history strategies in which suites of traits coevolve and covary with dispersal in combinations that serve to maximize fitness in a given ecological context. The red rust flour beetle, Tribolium castaneum, is a model organism and globally significant post-harvest pest that relies on dispersal to reach new patches of ephemeral habitat. Dispersal behaviour in Tribolium has a strong genetic basis. However, a robust understanding of the relationship between dispersal and other life-history components, which could elucidate evolutionary processes and allow pest managers to control their spread and reduce the impact of infestation, is currently lacking. Here, we use highly replicated lines of T. castaneum previously artificially selected for divergent small-scale dispersal propensity to robustly test several important life history components: reproductive strategy, development time, and longevity. As predicted, we find that a suite of important changes as a result of our selection on dispersal: high dispersal propensity is associated with a lower number of longer mating attempts by males, lower investment in early life reproduction by females, slower development of later-laid offspring, and longer female life span. These findings indicate that correlated intraspecific variation in dispersal and related traits may represent alternative life history strategies in T. castaneum. We therefore suggest that pest management efforts to mitigate the species' agro-economic impact should consider the eco-evolutionary dynamics within multiple life histories. The benefits of doing so could be felt both through improved targeting of efforts to reduce spread and also in forecasting how the selection pressures applied through pest management are likely to affect pest evolution. Graphical Abstract [ABSTRACT FROM AUTHOR]

Published
2024
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32. The great tit HapMap project: A continental‐scale analysis of genomic variation in a songbird.

Author

Spurgin, Lewis G., Bosse, Mirte, Adriaensen, Frank, Albayrak, Tamer, Barboutis, Christos, Belda, Eduardo, Bushuev, Andrey, Cecere, Jacopo G., Charmantier, Anne, Cichon, Mariusz, Dingemanse, Niels J., Doligez, Blandine, Eeva, Tapio, Erikstad, Kjell Einar, Fedorov, Vyacheslav, Griggio, Matteo, Heylen, Dieter, Hille, Sabine, Hinde, Camilla A., and Ivankina, Elena

Subjects
*GREAT tit, *GENOMICS, *SUBSPECIES, *GENETIC drift, *GEODESY, *SONGBIRDS
Abstract

A major aim of evolutionary biology is to understand why patterns of genomic diversity vary within taxa and space. Large‐scale genomic studies of widespread species are useful for studying how environment and demography shape patterns of genomic divergence. Here, we describe one of the most geographically comprehensive surveys of genomic variation in a wild vertebrate to date; the great tit (Parus major) HapMap project. We screened ca 500,000 SNP markers across 647 individuals from 29 populations, spanning ~30 degrees of latitude and 40 degrees of longitude – almost the entire geographical range of the European subspecies. Genome‐wide variation was consistent with a recent colonisation across Europe from a South‐East European refugium, with bottlenecks and reduced genetic diversity in island populations. Differentiation across the genome was highly heterogeneous, with clear 'islands of differentiation', even among populations with very low levels of genome‐wide differentiation. Low local recombination rates were a strong predictor of high local genomic differentiation (FST), especially in island and peripheral mainland populations, suggesting that the interplay between genetic drift and recombination causes highly heterogeneous differentiation landscapes. We also detected genomic outlier regions that were confined to one or more peripheral great tit populations, probably as a result of recent directional selection at the species' range edges. Haplotype‐based measures of selection were related to recombination rate, albeit less strongly, and highlighted population‐specific sweeps that likely resulted from positive selection. Our study highlights how comprehensive screens of genomic variation in wild organisms can provide unique insights into spatio‐temporal evolutionary dynamics. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Genomic landscapes of divergence among island bird populations: Evidence of parallel adaptation but at different loci?

Author

Martin, Claudia A., Sheppard, Eleanor C., Ali, Hisham A. A., Illera, Juan Carlos, Suh, Alexander, Spurgin, Lewis G., and Richardson, David S.

Subjects
BIRD populations, LOCUS (Genetics), GENETIC drift, BONE growth, GENETIC variation, GENE flow, ISLANDS, NUCLEOTIDE sequencing
Abstract

When populations colonise new environments, they may be exposed to novel selection pressures but also suffer from extensive genetic drift due to founder effects, small population sizes and limited interpopulation gene flow. Genomic approaches enable us to study how these factors drive divergence, and disentangle neutral effects from differentiation at specific loci due to selection. Here, we investigate patterns of genetic diversity and divergence using whole‐genome resequencing (>22× coverage) in Berthelot's pipit (Anthus berthelotii), a passerine endemic to the islands of three north Atlantic archipelagos. Strong environmental gradients, including in pathogen pressure, across populations in the species range, make it an excellent system in which to explore traits important in adaptation and/or incipient speciation. First, we quantify how genomic divergence accumulates across the speciation continuum, that is, among Berthelot's pipit populations, between sub species across archipelagos, and between Berthelot's pipit and its mainland ancestor, the tawny pipit (Anthus campestris). Across these colonisation timeframes (2.1 million–ca. 8000 years ago), we identify highly differentiated loci within genomic islands of divergence and conclude that the observed distributions align with expectations for non‐neutral divergence. Characteristic signatures of selection are identified in loci associated with craniofacial/bone and eye development, metabolism and immune response between population comparisons. Interestingly, we find limited evidence for repeated divergence of the same loci across the colonisation range but do identify different loci putatively associated with the same biological traits in different populations, likely due to parallel adaptation. Incipient speciation across these island populations, in which founder effects and selective pressures are strong, may therefore be repeatedly associated with morphology, metabolism and immune defence. [ABSTRACT FROM AUTHOR]

Published
2024
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34. OzDES Reverberation Mapping Program: Stacking analysis with Hβ, Mg ii, and C iv.

Author

Malik, U, Sharp, R, Penton, A, Yu, Z, Martini, P, Tucker, B E, Davis, T M, Lewis, G F, Lidman, C, Aguena, M, Alves, O, Annis, J, Asorey, J, Bacon, D, Brooks, D, Carnero Rosell, A, Carretero, J, Cheng, T -Y, da Costa, L N, and Pereira, M E S

Subjects
CARTOGRAPHY software, ECHO, BLACK holes, DARK energy, SUPERMASSIVE black holes, ACTIVE galaxies
Abstract

Reverberation mapping is the leading technique used to measure direct black hole masses outside of the local Universe. Additionally, reverberation measurements calibrate secondary mass-scaling relations used to estimate single-epoch virial black hole masses. The Australian Dark Energy Survey (OzDES) conducted one of the first multi-object reverberation mapping surveys, monitoring 735 AGN up to z ∼ 4, over 6 years. The limited temporal coverage of the OzDES data has hindered recovery of individual measurements for some classes of sources, particularly those with shorter reverberation lags or lags that fall within campaign season gaps. To alleviate this limitation, we perform a stacking analysis of the cross-correlation functions of sources with similar intrinsic properties to recover average composite reverberation lags. This analysis leads to the recovery of average lags in each redshift-luminosity bin across our sample. We present the average lags recovered for the Hβ, Mg  ii , and C  iv samples, as well as multiline measurements for redshift bins where two lines are accessible. The stacking analysis is consistent with the Radius–Luminosity relations for each line. Our results for the Hβ sample demonstrate that stacking has the potential to improve upon constraints on the R – L relation, which have been derived only from individual source measurements until now. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Evaluation of methods for spawner-recruit analysis in mixed-stock Pacific salmon fisheries

Author

Staton, Benjamin A., Catalano, Matthew J., Connors, Brendan M., Coggins, Lewis G., Jr., Jones, Michael L., Walters, CarlJ., Fleischman, Steven J., and Gwinn, Daniel C.

Subjects
Salmon fisheries -- Usage -- Methods -- Models, Fishes -- Models -- Methods -- Usage, Salmon -- Usage, Biological diversity -- Methods -- Models -- Usage, Stocks -- Usage, Industry hiring, Earth sciences
Abstract

Salmon populations harvested in mixed-stock fisheries can exhibit genotypic, behavioral, and life history diversity that can lead to heterogeneity in population productivity and size. Methods to quantify this heterogeneity among populations in mixed-stock fisheries are not well-established but are critical to assessing harvest-biodiversity trade-offs when setting harvest policies. We developed an integrated, age-structured, state-space model that allows for more complete use of available data and sharing of information than simpler methods. We compared a suite of state-space models of varying structural complexity to simpler regression-based approaches and, as an example case, fitted them to data from 13 Chinook salmon (Oncorhynchus tshawytscha) populations in the Kuskokwim drainage in western Alaska. We found biological and policy conclusions were largely consistent among state-space models but differed strongly from regression-based approaches. Simulation trials illustrated our state-space models were largely unbiased with respect to spawner-recruit parameters, abundance states, and derived biological reference points, whereas the regression-based approaches showed substantial bias. These findings suggest our state- space model shows promise for informing harvest policy evaluations of harvest-biodiversity trade-offs in mixed-stock salmon fisheries. Les populations de saumons exploitees dans le cadre de peches de stocks melanges peuvent presenter une diversite genotypique, comportementale et de cycles biologiques pouvant entrainer une heterogeneite sur le plan de la productivite et de la taille des populations. Si les methodes pour quantifier cette heterogeneite entre populations dans les peches de stocks melanges ne sont pas bien etablies, elles sont neanmoins essentielles pour evaluer les compromis entre les prises et la biodiversite dans l'elaboration de politiques sur les prises. Nous avons developpe un modele integre d'espace d'etats structure par age qui permet une utilisation plus exhaustive des donnees disponibles et un plus grand partage d'information que des methodes plus simples. Nous avons compare une serie de modeles d'espace d'etats de differents degres de complexite structurale a des approches plus simples reposant sur la regression et, a titre d'exemple, les avons cales sur des donnees pour 13 populations de saumons chinooks (Oncorhynchus tshawytscha) dans le bassin versant du fleuve Kuskokwim dans l'ouest de l'Alaska. Nous constatons que les conclusions concernant la biologie et les politiques concordent generalement d'un modele d'espace d'etats a l'autre, mais que ces conclusions sont tres differentes de celles tirees d'approches basees sur la regression. Des essais de simulation illustrent le fait que nos modeles d'espace d'etats ne presentent generalement pas de biais associe aux parametres des relations geniteurs-recrues, aux etats d'abondance et aux points de reference biologiques derives, alors que les approches basees sur la regression montrent un biais considerable. Ces constatations indiqueraient que notre modele d'espace d'etats est prometteur pour ce qui est d'eclairer les evaluations des compromis entre prises et biodiversite dans l'elaboration de politiques sur les prises pour les peches aux saumons de stocks melanges. [Traduit par la Redaction], Introduction Pacific salmon (Oncorhynchus spp.) populations are commonly harvested at a distance from their spawning grounds, and consequently multiple populations are co-mingled and often managed as a single stock. However, [...]

Published
2020
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41. I Would Have Had More Success If…: Student Reflections on Their Performance in Online and Blended Courses

Author

Lewis, G. Sherrie

Abstract

Anecdotal research is a common phenomenon in the study of distance education. In an effort to review some of the factors that affect student satisfaction, an existing instrument was used to gauge learner perceptions of online interaction/communication, learning and performance, collaboration, hardware and software issues and the quality of support. According to some authors, use of samples of convenience and small study populations, the conclusions drawn by Yu and Brandenburg (2006) could not be generalized across differing student populations. In an effort to create some generalizable conclusions regarding student perceptions, surveys contained some of Yu and Brandenburg's (2006) inquiries on communication, interaction, perceptions of the instructor, course materials and the availability of student support services in online and blended courses. Questions on student demographic data were also included. The purpose of this study is to examine some of the ideas associated with existing distance education research. It was hypothesized that students would have had more success if 1) they had more time to interact with other students, 2) knew what the course expectations were prior to registration, 3) they had access to a newer computer, and 4) they had administrative support.

Published
2010

45. Histologic, metabolomic, and transcriptomic differences in fir trees from a peri‐urban forest under chronic ozone exposure.

Author

Reyes‐Galindo, Verónica, Jaramillo‐Correa, Juan P., Shishkova, Svetlana, Sandoval‐Zapotitla, Estela, Flores‐Ortiz, César Mateo, Piñero, Daniel, Spurgin, Lewis G., Martin, Claudia A., Torres‐Jardón, Ricardo, Zamora‐Callejas, Claudio, and Mastretta‐Yanes, Alicia

Subjects
OZONE, TRANSCRIPTOMES, METABOLOMICS, TROPOSPHERIC ozone, FOREST restoration, PINENE, MOUNTAIN forests, ECOSYSTEMS
Abstract

Copyright of Ecology & Evolution (20457758) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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46. Tests of evolutionary and genetic rescue using flour beetles, Tribolium castaneum, experimentally evolved to thermal conditions.

Author

Lewis, Rebecca, Pointer, Michael D., Friend, Lucy, Gage, Matthew J. G., and Spurgin, Lewis G.

Subjects
RED flour beetle, TRIBOLIUM, GENETIC testing, ENDANGERED species, HEAT waves (Meteorology)
Abstract

Small, isolated populations are often characterised by low levels of genetic diversity. This can result in inbreeding depression and reduced capacity to adapt to changes in the environment, and therefore higher risk of extinction. However, sometimes these populations can be rescued if allowed to increase in size or if migrants enter, bringing in new allelic variation and thus increasing genetic diversity. This study uses experimental manipulation of population size and migration to quantify their effects on fitness in a challenging environment to better understand genetic rescue. Using small, replicated populations of Tribolium castaneum experimentally evolved to different temperature regimes we tested genetic and demographic rescue, by performing large‐scale manipulations of population size and migration and examining fitness consequences over multiple generations. We measured fitness in high temperature (38°C) thermal lines maintained at their usual 'small' population size of N = 100 individuals, and with 'large' scaled up duplicates containing N≈10,000 individuals. We compared these large lines with and without migration (m = 0.1) for 10 generations. Additionally, we assessed the effects of outcrossing at an individual level, by comparing fitness of hybrid (thermal line × stock) offspring with within‐line crosses. We found that, at the population level, a rapid increase in the number of individuals in the population resulted in reduced fitness (represented by reproductive output and survival through heatwave conditions), regardless of migration. However, at an individual level, the hybrid offspring of migrants with native individuals generally demonstrated increased longevity in high temperature conditions compared with individuals from thermal selection lines. Overall, these populations showed no evidence that demographic manipulations led to genetic or evolutionary rescue. Following the effects of migration in individuals over several generations may be the next step in unravelling these conflicting results. We discuss these findings in the context of conservation intervention. [ABSTRACT FROM AUTHOR]

Published
2024
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47. Genotype–environment associations reveal genes potentially linked to avian malaria infection in populations of an endemic island bird.

Author

Sheppard, Eleanor C., Martin, Claudia A., Armstrong, Claire, González‐Quevedo, Catalina, Illera, Juan Carlos, Suh, Alexander, Spurgin, Lewis G., and Richardson, David S.

Subjects
AVIAN malaria, MALARIA, ENDEMIC diseases, ENDEMIC birds, GENETIC variation, ANIMAL populations, BIRD food
Abstract

Patterns of pathogen prevalence are, at least partially, the result of coevolutionary host–pathogen interactions. Thus, exploring the distribution of host genetic variation in relation to infection by a pathogen within and across populations can provide important insights into mechanisms of host defence and adaptation. Here, we use a landscape genomics approach (Bayenv) in conjunction with genome‐wide data (ddRADseq) to test for associations between avian malaria (Plasmodium) prevalence and host genetic variation across 13 populations of the island endemic Berthelot's pipit (Anthus berthelotii). Considerable and consistent spatial heterogeneity in malaria prevalence was observed among populations over a period of 15 years. The prevalence of malaria infection was also strongly positively correlated with pox (Avipoxvirus) prevalence. Multiple host loci showed significant associations with malaria prevalence after controlling for genome‐wide neutral genetic structure. These sites were located near to or within genes linked to metabolism, stress response, transcriptional regulation, complement activity and the inflammatory response, many previously implicated in vertebrate responses to malarial infection. Our findings identify diverse genes – not just limited to the immune system – that may be involved in host protection against malaria and suggest that spatially variable pathogen pressure may be an important evolutionary driver of genetic divergence among wild animal populations, such as Berthelot's pipit. Furthermore, our data indicate that spatio‐temporal variation in multiple different pathogens (e.g. malaria and pox in this case) may have to be studied together to develop a more holistic understanding of host pathogen‐mediated evolution. [ABSTRACT FROM AUTHOR]

Published
2024
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48. Generating weather pattern definitions over South Africa suitable for future use in impact‐orientated medium‐range forecasting.

Author

Ireland, Lewis G., Robbins, Joanne, Neal, Robert, Barciela, Rosa, and Gilbert, Rebecca

Subjects
*HEAT waves (Meteorology), *WEATHER, *HEAT exhaustion, *K-means clustering, *FORECASTING
Abstract

This work aims to define a set of representative weather patterns for South Africa that can be utilized to support impact‐based forecasting of heatwave events. Sets of weather patterns have been generated using k‐means clustering on daily ERA5 reanalysis data between 1979 and 2020. Different pattern sets were generated by varying the clustering atmospheric variable, the spatial domain and the number of weather patterns. These weather patterns are evaluated using the explained variation score to assess their ability to represent the variability of the maximum daily 2m temperature (Tmax,2m). The results indicate that a set of 30 weather patterns generated using mean sea‐level pressure, with a clustering domain in the range 15°–34°E and 21°–36°S, provides a reasonable representation of Tmax,2m variability across South Africa. The implementation of an appropriate weather pattern set into a medium‐range forecasting tool has the potential to extend the prediction of high‐impact weather events in South Africa, such as heatwaves, and also highlight specific impacts on the population, for example, food and water insecurity, heat exhaustion or energy and transport impacts. [ABSTRACT FROM AUTHOR]

Published
2024
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