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Evolutionary ecology of antibiotic resistance

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Authors : Lehtinen, Sonja (Author of the conference)
CIRM (Publisher )

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Abstract : Antibiotic resistance is a serious public health concern. Responding to this problem effectively requires characterising the factors (i.e. evolutionary and ecological processes) that determine resistance frequencies. At present, we do not have ecologically plausible models of resistance that are able to replicate observed trends - we are therefore unable to make credible predictions about resistance dynamics. In this talk, I will present work motivated by three tends observed in Streptococcus pneumoniae resistance data: the stable coexistence of antibiotic sensitivity and resistance, variation between resistance frequencies between pneumococcal lineages and correlation in resistance to different antibiotics. I will propose that variation in the fitness benefit gained from resistance arising from variation in the duration of carriage of pneumococcal lineages is a parsimonious explanation for all three trends. This eco-evolutionary framework could allow more accurate prediction of future resistance levels and play a role in informing strategies to prevent the spread of resistance.

Keywords : Mathematical modelling; evolutionary epidemiology; antibiotic resistance

MSC Codes :
92D30 - Epidemiology
 92D40 - Ecology
    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 03/03/2020
    Conference Date : 17/02/2020
    Subseries : Research talks
    arXiv category : Quantitative Biology ; Dynamical Systems
    Mathematical Area(s) : Dynamical Systems & ODE
    Format : MP4 (.mp4) - HD
    Video Time : 00:28:45
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2020-02-17_Lethinen.mp4
Information on the Event

Event Title : Thematic Month Week 3: Mathematical Modeling and Statistical Analysis of Infectious Disease Outbreaks / Mois thématique Semaine 3 : Modélisation mathématique et analyses statistique des épidémies de maladies infectieuses
Event Organizers : Britton, Tom ; Forien, Raphaël ; Hubert, Florence ; Pardoux, Etienne
Dates : 17/02/2020 - 21/02/2020
Event Year : 2020
Event URL : https://conferences.cirm-math.fr/2303.html

Citation Data

DOI : 10.24350/CIRM.V.19612603
Cite this video as: Lehtinen, Sonja (2020). Evolutionary ecology of antibiotic resistance. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19612603
URI : http://dx.doi.org/10.24350/CIRM.V.19612603

See Also

Bibliography

  • COLIJN, Caroline, COHEN, Ted, FRASER, Christophe, et al. What is the mechanism for persistent coexistence of drug-susceptible and drug-resistant strains of Streptococcus pneumoniae?. Journal of The Royal Society Interface, 2010, vol. 7, no 47, p. 905-919. - https://doi.org/10.1098/rsif.2009.0400

  • LEHTINEN, Sonja, BLANQUART, François, CROUCHER, Nicholas J., et al. Evolution of antibiotic resistance is linked to any genetic mechanism affecting bacterial duration of carriage. Proceedings of the National Academy of Sciences, 2017, vol. 114, no 5, p. 1075-1080. - https://doi.org/10.1073/pnas.1617849114

  • LEES, John A., CROUCHER, Nicholas J., GOLDBLATT, David, et al. Genome-wide identification of lineage and locus specific variation associated with pneumococcal carriage duration. Elife, 2017, vol. 6, p. e26255. - https://doi.org/10.7554/eLife.26255

  • KOUYOS, Roger, KLEIN, Eili, et GRENFELL, Bryan. Hospital-community interactions foster coexistence between methicillin-resistant strains of Staphylococcus aureus. PLoS pathogens, 2013, vol. 9, no 2. - https://dx.doi.org/10.1371%2Fjournal.ppat.1003134

  • COBEY, Sarah, BASKERVILLE, Edward B., COLIJN, Caroline, et al. Host population structure and treatment frequency maintain balancing selection on drug resistance. Journal of The Royal Society Interface, 2017, vol. 14, no 133, p. 20170295. - https://doi.org/10.1098/rsif.2017.0295

  • BLANQUART, François, LEHTINEN, Sonja, LIPSITCH, Marc, et al. The evolution of antibiotic resistance in a structured host population. Journal of The Royal Society Interface, 2018, vol. 15, no 143, p. 20180040. - https://doi.org/10.1098/rsif.2018.0040

  • KRIEGER, Madison S., MOREAU, Joshua M., ZHANG, Haiyu, et al. Novel cytokine interactions identified during perturbed hematopoiesis. bioRxiv, 2018, p. 484170. - http://dx.doi.org/10.1101/484170

  • DAVIES, Nicholas G., FLASCHE, Stefan, JIT, Mark, et al. Within-host dynamics shape antibiotic resistance in commensal bacteria. Nature ecology & evolution, 2019, vol. 3, no 3, p. 440-449. - https://doi.org/10.1038/s41559-018-0786-x

  • CHANG, Hsiao-Han, COHEN, Ted, GRAD, Yonatan H., et al. Origin and proliferation of multiple-drug resistance in bacterial pathogens. Microbiol. Mol. Biol. Rev., 2015, vol. 79, no 1, p. 101-116. - https://doi.org/10.1128/MMBR.00039-14

  • LEHTINEN, Sonja, BLANQUART, François, LIPSITCH, Marc, et al. On the evolutionary ecology of multidrug resistance in bacteria. PLoS pathogens, 2019, vol. 15, no 5, p. e1007763. - https://doi.org/10.1371/journal.ppat.1007763

  • HANAGE, William Paul, FRASER, Christophe, TANG, Jing, et al. Hyper-recombination, diversity, and antibiotic resistance in pneumococcus. Science, 2009, vol. 324, no 5933, p. 1454-1457. - http://dx.doi.org/10.1126/science.1171908

  • MOSTOWY, Rafał J., CROUCHER, Nicholas J., DE MAIO, Nicola, et al. Pneumococcal capsule synthesis locus cps as evolutionary hotspot with potential to generate novel serotypes by recombination. Molecular Biology and Evolution, 2017, vol. 34, no 10, p. 2537-2554. - https://doi.org/10.1093/molbev/msx173

  • MOSTOWY, Rafal, CROUCHER, Nicholas J., ANDAM, Cheryl P., et al. Efficient inference of recent and ancestral recombination within bacterial populations. Molecular biology and evolution, 2017, vol. 34, no 5, p. 1167-1182. - https://doi.org/10.1093/molbev/msx066

  • GLADSTONE, Rebecca A., LO, Stephanie W., LEES, John A., et al. International genomic definition of pneumococcal lineages, to contextualise disease, antibiotic resistance and vaccine impact. EBioMedicine, 2019, vol. 43, p. 338-346. - https://doi.org/10.1016/j.ebiom.2019.04.021

  • CHAGUZA, Chrispin, ANDAM, Cheryl P., HARRIS, Simon R., et al. Recombination in Streptococcus pneumoniae lineages increase with carriage duration and size of the polysaccharide capsule. MBio, 2016, vol. 7, no 5, p. e01053-16.
    - http://dx.doi.org/10.1128/mBio.01053-16

  • LEHTINEN, Sonja, CHEWAPREECHA, Claire, LEES, John, et al. Horizontal gene transfer rate is not the primary determinant of observed antibiotic resistance frequencies in Streptococcus pneumoniae. BioRxiv, 2019, p. 656751. - http://dx.doi.org/10.1101/656751


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