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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.

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

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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