Literature DB >> 16701253

Big questions, small worlds: microbial model systems in ecology.

Christine M Jessup1, Rees Kassen, Samantha E Forde, Ben Kerr, Angus Buckling, Paul B Rainey, Brendan J M Bohannan.   

Abstract

Although many biologists have embraced microbial model systems as tools to address genetic and physiological questions, the explicit use of microbial communities as model systems in ecology has traditionally been more restricted. Here, we highlight recent studies that use laboratory-based microbial model systems to address ecological questions. Such studies have significantly advanced our understanding of processes that have proven difficult to study in field systems, including the genetic and biochemical underpinnings of traits involved in ecological interactions, and the ecological differences driving evolutionary change. It is the simplicity of microbial model systems that makes them such powerful tools for the study of ecology. Such simplicity enables the high degrees of experimental control and replication that are necessary to address many questions that are inaccessible through field observation or experimentation.

Year:  2004        PMID: 16701253     DOI: 10.1016/j.tree.2004.01.008

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  109 in total

1.  Dendritic connectivity controls biodiversity patterns in experimental metacommunities.

Authors:  Francesco Carrara; Florian Altermatt; Ignacio Rodriguez-Iturbe; Andrea Rinaldo
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-28       Impact factor: 11.205

2.  Mesocosms of aquatic bacterial communities from the Cuatro Cienegas Basin (Mexico): a tool to test bacterial community response to environmental stress.

Authors:  Silvia Pajares; German Bonilla-Rosso; Michael Travisano; Luis E Eguiarte; Valeria Souza
Journal:  Microb Ecol       Date:  2012-03-30       Impact factor: 4.552

3.  A coordinated set of ecosystem research platforms open to international research in ecotoxicology, AnaEE-France.

Authors:  Christian Mougin; Didier Azam; Thierry Caquet; Nathalie Cheviron; Samuel Dequiedt; Jean-François Le Galliard; Olivier Guillaume; Sabine Houot; Gérard Lacroix; François Lafolie; Pierre-Alain Maron; Radika Michniewicz; Christian Pichot; Lionel Ranjard; Jacques Roy; Bernd Zeller; Jean Clobert; André Chanzy
Journal:  Environ Sci Pollut Res Int       Date:  2015-08-29       Impact factor: 4.223

4.  Interspecific diversity reduces and functionally substitutes for intraspecific variation in biofilm communities.

Authors:  Kai Wei Kelvin Lee; Joey Kuok Hoong Yam; Manisha Mukherjee; Saravanan Periasamy; Peter D Steinberg; Staffan Kjelleberg; Scott A Rice
Journal:  ISME J       Date:  2015-09-25       Impact factor: 10.302

Review 5.  Long-term ecological dynamics: reciprocal insights from natural and anthropogenic gradients.

Authors:  Tadashi Fukami; David A Wardle
Journal:  Proc Biol Sci       Date:  2005-10-22       Impact factor: 5.349

6.  How does resource supply affect evolutionary diversification?

Authors:  Alex R Hall; Nick Colegrave
Journal:  Proc Biol Sci       Date:  2007-01-07       Impact factor: 5.349

Review 7.  Biogeography: an emerging cornerstone for understanding prokaryotic diversity, ecology, and evolution.

Authors:  Alban Ramette; James M Tiedje
Journal:  Microb Ecol       Date:  2007-02       Impact factor: 4.552

8.  EcoFABs: advancing microbiome science through standardized fabricated ecosystems.

Authors:  Karsten Zengler; Kirsten Hofmockel; Nitin S Baliga; Scott W Behie; Hans C Bernstein; James B Brown; José R Dinneny; Sheri A Floge; Samuel P Forry; Matthias Hess; Scott A Jackson; Christer Jansson; Stephen R Lindemann; Jennifer Pett-Ridge; Costas Maranas; Ophelia S Venturelli; Matthew D Wallenstein; Elizabeth A Shank; Trent R Northen
Journal:  Nat Methods       Date:  2019-07       Impact factor: 28.547

Review 9.  Engineering microbial systems to explore ecological and evolutionary dynamics.

Authors:  Yu Tanouchi; Robert P Smith; Lingchong You
Journal:  Curr Opin Biotechnol       Date:  2012-02-04       Impact factor: 9.740

10.  Multivariate analysis of complex DNA sequence electropherograms for high-throughput quantitative analysis of mixed microbial populations.

Authors:  Pål Trosvik; Beate Skånseng; Kjetill S Jakobsen; Nils C Stenseth; Tormod Naes; Knut Rudi
Journal:  Appl Environ Microbiol       Date:  2007-06-15       Impact factor: 4.792

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