Literature DB >> 17395828

Emergent biogeography of microbial communities in a model ocean.

Michael J Follows1, Stephanie Dutkiewicz, Scott Grant, Sallie W Chisholm.   

Abstract

A marine ecosystem model seeded with many phytoplankton types, whose physiological traits were randomly assigned from ranges defined by field and laboratory data, generated an emergent community structure and biogeography consistent with observed global phytoplankton distributions. The modeled organisms included types analogous to the marine cyanobacterium Prochlorococcus. Their emergent global distributions and physiological properties simultaneously correspond to observations. This flexible representation of community structure can be used to explore relations between ecosystems, biogeochemical cycles, and climate change.

Mesh:

Year:  2007        PMID: 17395828     DOI: 10.1126/science.1138544

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  132 in total

1.  Predicting microbial distributions in space and time.

Authors:  Noah Fierer; Joshua Ladau
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

2.  Fluid dynamical niches of phytoplankton types.

Authors:  Francesco d'Ovidio; Silvia De Monte; Séverine Alvain; Yves Dandonneau; Marina Lévy
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-25       Impact factor: 11.205

3.  Does horizontal mixing explain phytoplankton dynamics?

Authors:  Raphael M Kudela
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-25       Impact factor: 11.205

4.  A novel clade of Prochlorococcus found in high nutrient low chlorophyll waters in the South and Equatorial Pacific Ocean.

Authors:  Nyree J West; Philippe Lebaron; Pete G Strutton; Marcelino T Suzuki
Journal:  ISME J       Date:  2010-12-02       Impact factor: 10.302

5.  The dynamical landscape of marine phytoplankton diversity.

Authors:  Marina Lévy; Oliver Jahn; Stephanie Dutkiewicz; Michael J Follows; Francesco d'Ovidio
Journal:  J R Soc Interface       Date:  2015-10-06       Impact factor: 4.118

6.  Metatranscriptome analyses indicate resource partitioning between diatoms in the field.

Authors:  Harriet Alexander; Bethany D Jenkins; Tatiana A Rynearson; Sonya T Dyhrman
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-13       Impact factor: 11.205

Review 7.  A biophysical perspective on dispersal and the geography of evolution in marine and terrestrial systems.

Authors:  Michael N Dawson; William M Hamner
Journal:  J R Soc Interface       Date:  2008-02-06       Impact factor: 4.118

8.  Covariability of Vibrio cholerae microdiversity and environmental parameters.

Authors:  Young-Gun Zo; Nipa Chokesajjawatee; Eiji Arakawa; Haruo Watanabe; Anwar Huq; Rita R Colwell
Journal:  Appl Environ Microbiol       Date:  2008-02-29       Impact factor: 4.792

Review 9.  The microbial ocean from genomes to biomes.

Authors:  Edward F DeLong
Journal:  Nature       Date:  2009-05-14       Impact factor: 49.962

10.  Exploring evolution of maximum growth rates in plankton.

Authors:  Kevin J Flynn; David O F Skibinski
Journal:  J Plankton Res       Date:  2020-09-04       Impact factor: 2.455

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