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MathModExp SIGNED

The Evolution of Competition and Cooperation: how polymorphisms in microbial populations optimise virulence and mediate drug resistance

Total Cost €

0

EC-Contrib. €

0

Partnership

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 MathModExp project word cloud

Explore the words cloud of the MathModExp project. It provides you a very rough idea of what is the project "MathModExp" about.

principles    destroy    multiple    challenged    susceptible    defences    predictions    utilisation    shift    community    metabolism    hosts    acquire    life    synthesise    nutrients    vivo    evolutionary    microbial    establishing    acquisition    strains    vitro    incorporating    theory    ecology    cooperate    empirical    maximise    antibiotics    perturb    ecological    form    players    populations    resistance    resource    dynamics    resistant    food    fitness    microbials    antibiotic    communities    pathogenicity    impacts    overlooked    strategies    interactions    molecular    will    individual    mediated    host    integrating    cell    ultimately    polymicrobial    human    diseases    predict    stresses    virulence    outstanding    understand    formulate    resilient    genetics    communicate    nutrient    quantifying    utilise    basic    dissect    combination    population    fundamental    species    intricate    theoretical    composition    pathogens    competition    tools    antimicrobials    threatening    data    sources    determined    compete    plant    physiology    antimicrobial    microbes    polymorphic   

Project "MathModExp" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF EXETER 

Organization address
address: THE QUEEN'S DRIVE NORTHCOTE HOUSE
city: EXETER
postcode: EX4 4QJ
website: www.ex.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙968˙392 €
 EC max contribution 1˙968˙392 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-CoG
 Funding Scheme ERC-COG
 Starting year 2015
 Duration (year-month-day) from 2015-09-01   to  2021-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EXETER UK (EXETER) coordinator 1˙968˙392.00

Map

 Project objective

Microbes form intricate communities where multiple strains and species communicate cooperate and compete, they can cause life-threatening diseases and destroy our food sources. Metabolism is key to these interactions, yet the way microbes acquire and utilise nutrients is often overlooked in evolutionary studies of pathogenicity, virulence and antibiotic resistance. I will address this by quantifying how microbial community composition is determined by the metabolism, genetics and physiology of individual players, establishing principles by which microbial composition affects virulence and antimicrobial resistance. Competition for resources is the most basic of ecological interactions, fundamental because one cell directly impacts the fitness of others. It is only by incorporating nutrient acquisition and utilisation into studies of virulence and antibiotic resistance that we can predict, and ultimately control, the evolutionary response of microbes to resource stresses, antimicrobials and host defences. I will address two outstanding problems: Challenge one: Pathogens must acquire nutrients from their hosts, but what combination of different resource acquisition and utilisation strategies maximise population success and, therefore, virulence? Challenge two: Antibiotics can perturb the composition of polymicrobial communities from susceptible to resistant species but how is this shift mediated by resource utilisation strategies? Fully integrating empirical data and theory, concepts from ecology and evolutionary dynamics will be key. We will formulate new theoretical tools that allow us to make predictions that will be fully challenged by data, both in vitro and in vivo. This research will exploit advances in the molecular genetics of important plant and human pathogens and we will use them to synthesise polymorphic microbial populations and polymicrobial communities. We will dissect these to understand what makes microbials so resilient to the challenges they face.

 Publications

year authors and title journal last update
List of publications.
2019 Richard J. Lindsay, Bogna J. Pawlowska, Ivana Gudelj
Privatization of public goods can cause population decline
published pages: 1206-1216, ISSN: 2397-334X, DOI: 10.1038/s41559-019-0944-9
Nature Ecology & Evolution 3/8 2020-04-03
2016 Ivana Gudelj, Margie Kinnersley, Peter Rashkov, Karen Schmidt, Frank Rosenzweig
Stability of Cross-Feeding Polymorphisms in Microbial Communities
published pages: e1005269, ISSN: 1553-7358, DOI: 10.1371/journal.pcbi.1005269
PLOS Computational Biology 12/12 2019-06-05
2018 Richard J. Lindsay, Bogna J. Pawlowska, Ivana Gudelj
When increasing population density can promote the evolution of metabolic cooperation
published pages: 849-859, ISSN: 1751-7362, DOI: 10.1038/s41396-017-0016-6
The ISME Journal 12/3 2019-06-05
2016 Richard J Lindsay, Michael J Kershaw, Bogna J Pawlowska, Nicholas J Talbot, Ivana Gudelj
Harbouring public good mutants within a pathogen population can increase both fitness and virulence
published pages: , ISSN: 2050-084X, DOI: 10.7554/eLife.18678
eLife 5 2019-06-05
2017 Carlos Reding-Roman, Mark Hewlett, Sarah Duxbury, Fabio Gori, Ivana Gudelj, Robert Beardmore
The unconstrained evolution of fast and efficient antibiotic-resistant bacterial genomes
published pages: 50, ISSN: 2397-334X, DOI: 10.1038/s41559-016-0050
Nature Ecology & Evolution 1/3 2019-06-05
2018 Robert E. Beardmore, Emily Cook, Susanna Nilsson, Adam R. Smith, Anna Tillmann, Brooke D. Esquivel, Ken Haynes, Neil A. R. Gow, Alistair J. P. Brown, Theodore C. White, Ivana Gudelj
Drug-mediated metabolic tipping between antibiotic resistant states in a mixed-species community
published pages: 1312-1320, ISSN: 2397-334X, DOI: 10.1038/s41559-018-0582-7
Nature Ecology & Evolution 2/8 2019-06-05

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