DiscoverMathematical, Statistical and Computational Aspects of the New Science of MetagenomicsUsing metatranscriptomics to make global predictions: The impact of temperature on marine phytoplankton resource allocation and metabolism
Using metatranscriptomics to make global predictions: The impact of temperature on marine phytoplankton resource allocation and metabolism

Using metatranscriptomics to make global predictions: The impact of temperature on marine phytoplankton resource allocation and metabolism

Update: 2014-03-31
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Marine phytoplankton are responsible for roughly 50% of the carbon dioxide that is fixed annually worldwide, and contribute massively to other biogeochemical cycles in the oceans. In this talk we present an analysis of metatranscriptomes from eukaryotic phytoplankton sampled from distinct latitudinal temperature zones. We also present some predictions that were made by integrating this data within a global ecosystems model. These predictions add to current concerns on the effect of global warming on marine ecosystem functioning.

This is joint work with groups based at University of East Anglia, University of Exeter, Alfred-Wegener Institute for Polar and Marine Research, and University of the Algarve. More details can be found in Nature Climate Change 3:97 9-984, (2013), and also in a poster that will be presented in the workshop by Andrew Toseland.
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Why mixture modelling?

Why mixture modelling?

2014-04-1001:28:00

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Using metatranscriptomics to make global predictions: The impact of temperature on marine phytoplankton resource allocation and metabolism

Using metatranscriptomics to make global predictions: The impact of temperature on marine phytoplankton resource allocation and metabolism

Vincenzo Abete

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