Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Danna R Gifford"'
Autor:
Danna R Gifford, Ernesto Berríos-Caro, Christine Joerres, Marc Suñé, Jessica H Forsyth, Anish Bhattacharyya, Tobias Galla, Christopher G Knight
Publikováno v:
PLoS Genetics, Vol 19, Iss 6, p e1010791 (2023)
Antibiotic combination therapies are an approach used to counter the evolution of resistance; their purported benefit is they can stop the successive emergence of independent resistance mutations in the same genome. Here, we show that bacterial popul
Externí odkaz:
https://doaj.org/article/618e28fcca6d4a6fadc5b96b05db89c2
Autor:
Rok Krašovec, Huw Richards, Danna R Gifford, Charlie Hatcher, Katy J Faulkner, Roman V Belavkin, Alastair Channon, Elizabeth Aston, Andrew J McBain, Christopher G Knight
Publikováno v:
PLoS Biology, Vol 15, Iss 8, p e2002731 (2017)
Rates of random, spontaneous mutation can vary plastically, dependent upon the environment. Such plasticity affects evolutionary trajectories and may be adaptive. We recently identified an inverse plastic association between mutation rate and populat
Externí odkaz:
https://doaj.org/article/a9f54a27312543908d7873b9271efa05
Publikováno v:
PLoS Biology, Vol 7, Iss 11, p e1000250 (2009)
The rarity of beneficial mutations has frustrated efforts to develop a quantitative theory of adaptation. Recent models of adaptive walks, the sequential substitution of beneficial mutations by selection, make two compelling predictions: adaptive wal
Externí odkaz:
https://doaj.org/article/9137a11c51e2482ba133471ac9cca685
Environmental and genetic influence on rate and spectrum of spontaneous mutations inEscherichia coli
Autor:
Danna R. Gifford, Anish Bhattacharyya, Alexandra Geim, Eleanor Marshall, Rok Krašovec, Christopher G. Knight
Spontaneous mutations are the ultimate source of novel genetic variation on which evolution operates. While mutation rate is commonly described as a single parameter in evolutionary models, it is increasingly evident that mutation rates vary due to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68fe934b24a1dc7fcf0a767552924791
https://doi.org/10.1101/2023.04.06.535897
https://doi.org/10.1101/2023.04.06.535897
Autor:
Antonio Oliver, R. Craig MacLean, Danna R. Gifford, Tom Vogwill, Andrei Papkou, Victoria Furió
Publikováno v:
Nature ecology & evolution
Gifford, D R, Furió, V, Papkou, A, Vogwill, T, Oliver, A & MacLean, R C 2018, ' Identifying and exploiting genes that potentiate the evolution of antibiotic resistance ', Nature Ecology and Evolution, vol. 2, no. 6, pp. 1033-1039 . https://doi.org/10.1038/s41559-018-0547-x
Nature Ecology & Evolution
Gifford, D R, Furió, V, Papkou, A, Vogwill, T, Oliver, A & MacLean, R C 2018, ' Identifying and exploiting genes that potentiate the evolution of antibiotic resistance ', Nature Ecology and Evolution, vol. 2, no. 6, pp. 1033-1039 . https://doi.org/10.1038/s41559-018-0547-x
Nature Ecology & Evolution
Introductory paragraph There is an urgent need to develop novel approaches for predicting and preventing the evolution of antibiotic resistance. Here we show that the ability to evolve de novo resistance to a clinically important β-lactam antibiotic
Autor:
Katherine E. Atkins, Sonja Lehtinen, Marc Lipsitch, Elizabeth J. Klemm, Julie V. Robotham, Martin J. Llewelyn, Dov J. Stekel, Francesc Coll, Rebecca E Glover, Mark Jit, Laith Yakob, Jodi A. Lindsay, Mike Sharland, Danna R. Gifford, Nicholas G Davies, Ana Mateus, Tjibbe Donker, Caroline Colijn, Gwenan M. Knight
Publikováno v:
Knight, G M, Davies, N G, Colijn, C, Coll, F, Donker, T, Gifford, D R, Glover, R E, Jit, M, Klemm, E, Lehtinen, S, Lindsay, J A, Lipsitch, M, Llewelyn, M J, Mateus, A L P, Robotham, J V, Sharland, M, Stekel, D, Yakob, L & Atkins, K E 2019, ' Mathematical modelling for antibiotic resistance control policy : Do we know enough? ', BMC Infectious Diseases, vol. 19, no. 1, 1011 . https://doi.org/10.1186/s12879-019-4630-y
BMC Infectious Diseases
Knight, G M, Davies, N G, Colijn, C, Coll, F, Donker, T, Gifford, D R, Glover, R E, Jit, M, Klemm, E, Lehtinen, S & Atkins, K 2019, ' Mathematical modelling for antibiotic resistance control policy: do we know enough? ', BMC Infectious Diseases, vol. 19, no. 1 . https://doi.org/10.1186/s12879-019-4630-y
BMC Infectious Diseases, Vol 19, Iss 1, Pp 1-9 (2019)
BMC Infectious Diseases
Knight, G M, Davies, N G, Colijn, C, Coll, F, Donker, T, Gifford, D R, Glover, R E, Jit, M, Klemm, E, Lehtinen, S & Atkins, K 2019, ' Mathematical modelling for antibiotic resistance control policy: do we know enough? ', BMC Infectious Diseases, vol. 19, no. 1 . https://doi.org/10.1186/s12879-019-4630-y
BMC Infectious Diseases, Vol 19, Iss 1, Pp 1-9 (2019)
Background Antibiotics remain the cornerstone of modern medicine. Yet there exists an inherent dilemma in their use: we are able to prevent harm by administering antibiotic treatment as necessary to both humans and animals, but we must be mindful of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1227aaaf66c93b297f22d8ed41d32d8
https://openaccess.sgul.ac.uk/id/eprint/111467/1/document.pdf
https://openaccess.sgul.ac.uk/id/eprint/111467/1/document.pdf
Autor:
Guillaume Gomez, Christopher Knight, Rok Krašovec, Danna R. Gifford, Adrien Mazoyer, Huw Richards
Publikováno v:
Krašovec, R, Richards, H, Gomez, G, Gifford, D R, Mazoyer, A & Knight, C G 2019, ' Measuring Microbial Mutation Rates with the Fluctuation Assay ', Journal of visualized experiments : JoVE, no. 153 . https://doi.org/10.3791/60406
Fluctuation assays are widely used for estimating mutation rates in microbes growing in liquid environments. Many cultures are each inoculated with a few thousand cells, each sensitive to a selective marker that can be assayed phenotypically. These p
Autor:
Danna R. Gifford
Publikováno v:
Gifford, D R 2019, ' Life on the frontline reveals constraints ', Nature Ecology and Evolution, vol. 3, no. 11, pp. 1501-1502 . https://doi.org/10.1038/s41559-019-1010-3
The existence of trade-offs between traits under selection is a fundamental concept in evolutionary biology. Analysis of a densely sampled collection of adaptive mutations in yeast reveals that no single mutation can allow it to overcome detected tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7955d039dbee9dcbc5c3fc17a5b92e71
https://pure.manchester.ac.uk/ws/files/160749095/NATECOLEVOL_19056906A_news_and_views_Final.docx
https://pure.manchester.ac.uk/ws/files/160749095/NATECOLEVOL_19056906A_news_and_views_Final.docx
Autor:
Danna R. Gifford, Ernesto Berríos-Caro, Christine Joerres, Marc Suñé, Jessica H. Forsyth, Anish Bhattacharyya, Tobias Galla, Christopher G. Knight
Antibiotic combination therapies are an approach used to counter the evolution of resistance; their purported benefit is they can stop the successive emergence of independent resistance mutations in the same genome. Here, we show that bacterial popul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44f3c4184912a9b6231226c0f6368fe0
https://doi.org/10.1101/643585
https://doi.org/10.1101/643585