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ecO-evolUTionary dynamics in COMmunitiEs

Project description

Coevolutionary outcomes in host-parasite communities

Host-parasite communities are species networks that constantly coevolve, affecting ecological processes like demographic dynamics and interaction distribution. However, conventional studies focus on individual host-parasite pairs and ignore the fast-paced effects of coevolution on community ecology, leading to an incomplete understanding of ecosystem dynamics. Supported by the Marie Skłodowska-Curie Actions programme, the OUTCOME project aims to predict coevolutionary outcomes in multiple host-parasite communities. It will use host-parasite interaction networks, coevolutionary footprints in whole-genome sequences, and dynamic network analysis. The project connects population genetics with interaction establishment and specificity, and builds statistical inference tools to predict changes in real-world ecosystems. OUTCOME combines studies on genomic coevolution, eco-evolutionary dynamics, and complex networks.

Objective

Host-parasite communities compose networks of interacting individuals of different species. These communities are constantly coevolving, i.e. reciprocal selective pressures. Coevolution produces ecological changes, such as dynamics in demographies or in the distribution of interactions. Such ecological changes may feedback to drive further evolution in the communities. However, coevolutionary research usually focuses on isolated host-parasite pairs, assuming that the ecological effects can be ignored. Similarly, ecological studies argue that coevolution is not fast enough to affect ecological processes. Hence, the reciprocal effect, or eco-evolutionary feedback, is generally ignored by both evolutionary and ecological studies when evaluating host-parasite interactions. These assumptions possibly lead us to inaccurate understanding of the processes driving host-parasite communities and ecosystem dynamics in general. I aim to infer and predict coevolutionary outcomes in communities of several host and parasite species from host-parasite interaction networks and demographic histories. I will develop a unique combination of coevolutionary footprints in whole-genome sequences with dynamic network analysis (i.e. the network changes the distribution of interactions according to selected genotypes over time). I will use theoretical models and simulated data to link population genetics with interaction establishment and specificity at the ecological community level. Using the theoretical models, I will finally build statistical inference tools to infer and predict changes in real-world ecosystems based on empirical genome and network data. OUTCOME brings together studies on genomic coevolution (Prof Tellier, TUM), eco-evolutionary dynamics in empirical communities (Dr Möst, UIBK), and communities as complex networks (Dr Llopis-Belenguer). It will result in an enriching two-way transfer of knowledge and a complete development of the candidate as an independent researcher.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

(opens in new window) HORIZON-MSCA-2023-PF-01

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Coordinator

TECHNISCHE UNIVERSITAET MUENCHEN
Net EU contribution
€ 189 687,36
Address
Arcisstrasse 21
80333 Muenchen
Germany
Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost
No data

Partners (1)