2015
DOI: 10.3389/fmicb.2015.00489
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Antagonistic interactions are sufficient to explain self-assemblage of bacterial communities in a homogeneous environment: a computational modeling approach

Abstract: Most of the studies in Ecology have been devoted to analyzing the effects the environment has on individuals, populations, and communities, thus neglecting the effects of biotic interactions on the system dynamics. In the present work we study the structure of bacterial communities in the oligotrophic shallow water system of Churince, Cuatro Cienegas, Mexico. Since the physicochemical conditions of this water system are homogeneous and quite stable in time, it is an excellent candidate to study how biotic fact… Show more

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Cited by 13 publications
(20 citation statements)
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References 53 publications
(62 reference statements)
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“…A cell automata model was built using the observations from all possible pairwise interactions between the 78 strains. The model predicted high biodiversity with different strains occupying spatially segregated patches across the surface ( Zapién-Campos et al, 2015 ). The model also predicted that survival of weaker bacteria is dependent upon being shielded from aggressors by patches of a third bacterial strain ( Zapién-Campos et al, 2015 ).…”
Section: Modeling Reveals That Competition and Spatial Structure Reinmentioning
confidence: 99%
See 1 more Smart Citation
“…A cell automata model was built using the observations from all possible pairwise interactions between the 78 strains. The model predicted high biodiversity with different strains occupying spatially segregated patches across the surface ( Zapién-Campos et al, 2015 ). The model also predicted that survival of weaker bacteria is dependent upon being shielded from aggressors by patches of a third bacterial strain ( Zapién-Campos et al, 2015 ).…”
Section: Modeling Reveals That Competition and Spatial Structure Reinmentioning
confidence: 99%
“…The model predicted high biodiversity with different strains occupying spatially segregated patches across the surface ( Zapién-Campos et al, 2015 ). The model also predicted that survival of weaker bacteria is dependent upon being shielded from aggressors by patches of a third bacterial strain ( Zapién-Campos et al, 2015 ). This prediction is borne out in a model three species biofilm formed by isolates of soil bacteria.…”
Section: Modeling Reveals That Competition and Spatial Structure Reinmentioning
confidence: 99%
“…Remarkably, prokaryotic diversity in this area has been shaped by oligotrophic conditions ( Bonilla-Rosso et al, 2012 ), developing several strategies to cope with low concentration of nutrients, in particular phosphorous ( Peimbert et al, 2012 ; Aguirre-von-Wobeser et al, 2014 ). Hence, bacterial interactions in these oligotrophic aquatic systems are epitomized by a notable resistance to antibiotics, leading to a fierce competition as observed during in situ mesocosm experiments ( Ponce-Soto et al, 2015 ), in a bacterial guild ( Pérez-Gutiérrez et al, 2013 ) and computational modeling ( Zapién-Campos et al, 2015 ). However, information on FBI cross-kingdom interactions is still unknown.…”
Section: Introductionmentioning
confidence: 99%
“…Antagonism is a widespread bacterial trait resulting from the production of diffusible inhibitory or antibiotic biochemicals (Abrudan et al, 2015;Al-Saedi, Stones, Vaz, & Krachler, 2016;Buffie & Pamer, 2013;Christensen et al, 2016;Cordero et al, 2012;Grossart, Schlingloff, Bernhard, Simon, & Brinkhoff, 2004;Hawlena, Bashey, & Lively, 2012;Zapien-Campos, Olmedo-Alvarez, & Santillan, 2015). The functional impact of antagonism on community ecology is debated, particularly with regard to whether antagonism is primarily a cooperative trait promoting population cohesion and synergy (Cordero et al, 2012), or a competitive trait used as a weapon against other microbes (Abrudan et al, 2015).…”
Section: Discussionmentioning
confidence: 99%