Quantitative evolution, phylogeny and ecology : from models to data and back, Paris

11 janv. 2021, 08:30 → 19 févr. 2021, 20:30 Europe/Paris

Amphitheater Darboux (IHP)

Thematic trimester program at Institut Henri Poincaré, Paris

Quantitative evolution, phylogeny and ecology : from models to data and back

January 11th to February 19th, 2021

Abstract:

The basic laws of evolution are simple: mutations generate variation, while genetic drift, recombination, migration and selection change the frequencies of the variants. Yet even in very simple circumstances, it is often surprisingly difficult to predict how these forces will act on millions of individuals to collectively determine the course of evolution in a population. This has left important gaps in our ability to learn from the genetic variation we see in nature. The dramatic increase in the amount of sequence data makes quantitative comparisons to predictive models accessible. As in many other fields, machine learning promises to solve this problem. However, even if we identify patterns of variation using these techniques, and we are able to generate datasets that have the same properties as real world data, this does not necessarily help us build a quantitative and predictive theory of evolution.

Our program will bring together biophysicists, bio-mathematicians and statisticians with biologists and other researchers working in population genetics to explore the interfaces of data and theory in evolution. The last century has brought about mathematical descriptions of evolving systems and ecological communities. At the same time, mainly thanks to the revolution in sequencing, evolution, whether at the molecular or organismal scales has recently become an extremely data rich field, which leads to advances in inference methods. However, there is a large disconnect between theory and data. Our goal is to foster dialogue between these two sub-domains that deal with the same phenomenon.

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Program:

11/01-15/01: Conference "Ecology and co-evolution: from models to data and back" - Program
18/01-29/01: Main theme: Ecology and co-evolution
01/02-05/02: Conference "Phylogeny and inference: from models to data and back" - Program
08/02-19/02: Main theme: Phylogeny and inference

Scientific committee:

• Anne-Florence Bitbol (EPFL)
• Claude Loverdo (CNRS & Sorbonne Université)
• Mikhail Tikhonov (Washington University St Louis)
• Aleksandra Walczak (CNRS & ENS)

 

lundi 18 janvier

Thematic discussion group: Immune system ecology cost/benefits involved

mardi 19 janvier

Pedagogical tutorials: Inferring empirical interaction strengths and searching for theoretical community structures in plants, bacteria and other organisms - Matthieu Barbier

Thematic discussion group: Evolution of microbial communities: questions, priorities, models

jeudi 21 janvier

Thematic discussion group: Immune system cost/benefits

vendredi 22 janvier

Pedagogical tutorials: "1) aligning two sequences"; "2) sequence profiles and hidden Markov models" - Martin Weigt, Sorbonne Université

Thematic discussion group: Antibody evolution

lundi 25 janvier

Thematic discussion group: Mechanisms of antibiotic action & implications for resistance evolution and microbial growth laws

mercredi 27 janvier

Thematic discussion group: Disorder, simple and complex order (incl. community ecology & fitness)

vendredi 29 janvier

Thematic discussion group: Ecology: theory <-> reality

lundi 8 février

Thematic discussion group: Immune system cost/benefits

jeudi 11 février

Thematic discussion group: Many-environment evolution experiments

Thematic discussion group: Antibody evolution discussion

lundi 15 février

Thematic discussion group: Spatial structure, immunity, and bacterial evolution in the gut

mercredi 17 février

Thematic discussion group: Bacterial death and metabolism in the presence of antibiotics