FRAGATA Inês

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  • Evolutionary Dynamics Group, Instituto Gulbenkian de Ciência - IGC, Oeiras, Portugal
  • Adaptation, Evolutionary Dynamics, Evolutionary Ecology, Experimental Evolution, Life History, Molecular Evolution, Phenotypic Plasticity, Population Genetics / Genomics
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I am broadly interested in the mechanisms that allow populations to adapt to different environmental conditions (e.g. seasonal and/or clinal variation), particularly when there is some stochastic environmental variation. My current research projects are focused on understanding the repeatability and predictability of evolution in a single environment (in collaboration with Pedro Simões and Margarida Matos from cE3c) and the impact of different environments on the distribution of fitness effects of new mutations (in collaboration with Dan Bolon from UMass). To tackle these questions I use a combination of experimental evolution data, statistical analyses, simulations and theoretical modeling.

I started my academic path in the Biology program at Faculdade de Ciências da Universidade de Lisboa (FCUL) graduating in 2006 and finished my master's thesis in 2008 in Margarida Matos laboratory (FCUL). From 2010-2015, I developed my PhD thesis under the supervision of Margarida Matos (FCUL) and Mauro Santos (Universitat Autònoma de Barcelona) on “The role of history, chance and selection during adaptation: an integrated perspective.” During this project, I focused on understanding the adaptive potential of populations by characterizing the impact of history, chance and selection during adaptation to the laboratory, at several different levels: phenotypic, karyotpic and genomic.

I started my postdoc in Claudia Bank’s lab at the Instituto Gulbenkian Ciência (IGC) in 2016.

2 recommendations

2018-06-03
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PREPRINT
Cost of resistance: an unreasonably expensive concept
Thomas Lenormand, Noemie Harmand, Romain Gallet
https://www.biorxiv.org/content/biorxiv/early/2018/06/01/276675.full.pdf

Recommended by Inês Fragata and Claudia Bank based on reviews by Helen Alexander, Danna Gifford and 1 anonymous reviewer
Let’s move beyond costs of resistance!

The increase in the prevalence of (antibiotic) resistance has become a major global health concern and is an excellent example of the impact of real-time evolution on human society. This has led to a boom of studies that investigate the mechanisms and factors involved in the evolution of resistance, and to the spread of the concept of "costs of resistance". This concept refers to the relative fitness disadvantage of a drug-resistant genotype compared to a non-resistant reference genotype in the ...

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2017-08-03
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Fisher's geometrical model and the mutational patterns of antibiotic resistance across dose gradients
Noémie Harmand, Romain Gallet, Roula Jabbour-Zahab, Guillaume Martin, Thomas Lenormand
10.1111/evo.13111

Recommended by Inês Fragata and Claudia Bank
What doesn’t kill us makes us stronger: can Fisher’s Geometric model predict antibiotic resistance evolution?

The increasing number of reported cases of antibiotic resistance is one of today’s major public health concerns. Dealing with this threat involves understanding what drives the evolution of antibiotic resistance and investigating whether we can predict (and subsequently avoid or circumvent) it [1].
One of the most illustrative and common models of adaptation (and, hence, resistance evolution) is Fisher’s Geometric Model (FGM). The original model maps phenotypes to fitness, meaning that ea...

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