ゲノム情報科学研究教育機構  アブストラクト
Date 10:00am October 24, 2022
Speaker Samuel Chaffron
CNRS/Nante University, France
Title Community network models to reveal marine plankton systems ecology
Abstract
Marine plankton form complex communities of interacting organisms at the base of the food web, which sustain oceanic biogeochemical cycles and help regulate climate. Understanding the mechanisms controlling their assembly and sustaining their activities is a major challenge in microbial ecology. Though global surveys are starting to reveal ecological drivers underlying planktonic community structure and predicted climate change responses, it is unclear how community-scale species interactions are constrained, and how they will be affected by climate change. By leveraging Tara Oceans meta-omics data, plankton community network models can be integrated with niche modelling to reveal biome-specific plankton community responses to environmental change, and forecast most affected lineages within each community. To go beyond statistical models, genome-resolved community networks enable to model and predict metabolic cross-feedings within prokaryotic assemblages. These mechanistic models allow to predict potential interactions within predicted communities and pinpoint specific metabolic cross-feedings shaping plankton microbial communities. Integrating ecological and metabolic models provide a useful framework to assess community structure and organismal interactions, to reveal important mechanisms shaping natural microbial communities in our changing ocean.

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