Literature DB >> 28283424

Modelling plankton ecosystems in the meta-omics era. Are we ready?

Krzysztof Franciszek Stec1, Luigi Caputi1, Pier Luigi Buttigieg2, Domenico D'Alelio1, Federico Matias Ibarbalz3, Matthew B Sullivan4, Samuel Chaffron5, Chris Bowler3, Maurizio Ribera d'Alcalà6, Daniele Iudicone7.   

Abstract

Recent progress in applying meta-omics approaches to the study of marine ecosystems potentially allows scientists to study the genetic and functional diversity of plankton at an unprecedented depth and with enhanced precision. However, while a range of persistent technical issues still need to be resolved, a much greater obstacle currently preventing a complete and integrated view of the marine ecosystem is the absence of a clear conceptual framework. Herein, we discuss the knowledge that has thus far been derived from conceptual and statistical modelling of marine plankton ecosystems, and illustrate the potential power of integrated meta-omics approaches in the field. We then propose the use of a semantic framework is necessary to support integrative ecological modelling in the meta-omics era, particularly when having to face the increased interdisciplinarity needed to address global issues related to climate change.
Copyright © 2017. Published by Elsevier B.V.

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Mesh:

Year:  2017        PMID: 28283424     DOI: 10.1016/j.margen.2017.02.006

Source DB:  PubMed          Journal:  Mar Genomics        ISSN: 1874-7787            Impact factor:   1.710


  5 in total

Review 1.  From Genes to Ecosystems in Microbiology: Modeling Approaches and the Importance of Individuality.

Authors:  Jan-Ulrich Kreft; Caroline M Plugge; Clara Prats; Johan H J Leveau; Weiwen Zhang; Ferdi L Hellweger
Journal:  Front Microbiol       Date:  2017-11-27       Impact factor: 5.640

2.  Towards Naples Ecological REsearch for Augmented Observatories (NEREA): The NEREA-Fix Module, a Stand-Alone Platform for Long-Term Deep-Sea Ecosystem Monitoring.

Authors:  Emanuela Fanelli; Jacopo Aguzzi; Simone Marini; Joaquin Del Del Rio; Marc Nogueras; Simonepietro Canese; Sergio Stefanni; Roberto Danovaro; Fabio Conversano
Journal:  Sensors (Basel)       Date:  2020-05-21       Impact factor: 3.576

3.  Towards omics-based predictions of planktonic functional composition from environmental data.

Authors:  Sakina-Dorothée Ayata; Lucie Bittner; Emile Faure
Journal:  Nat Commun       Date:  2021-07-16       Impact factor: 14.919

4.  Machine learning identifies a strong association between warming and reduced primary productivity in an oligotrophic ocean gyre.

Authors:  Domenico D'Alelio; Salvatore Rampone; Luigi Maria Cusano; Valerio Morfino; Luca Russo; Nadia Sanseverino; James E Cloern; Michael W Lomas
Journal:  Sci Rep       Date:  2020-02-25       Impact factor: 4.379

5.  Trade-off between sex and growth in diatoms: Molecular mechanisms and demographic implications.

Authors:  Rossella Annunziata; Bruno Hay Mele; Pina Marotta; Massimiliano Volpe; Laura Entrambasaguas; Svenja Mager; Krzysztof Stec; Maurizio Ribera d'Alcalà; Remo Sanges; Giovanni Finazzi; Daniele Iudicone; Marina Montresor; Maria Immacolata Ferrante
Journal:  Sci Adv       Date:  2022-01-19       Impact factor: 14.136

  5 in total

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