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Living microorganisms change the information (Shannon) content of a geophysical system.
Tang, Fiona H M; Maggi, Federico.
Afiliação
  • Tang FHM; Laboratory for Advanced Environmental Engineering Research, School of Civil Engineering, The University of Sydney, Bld. J05, 2006, Sydney, NSW, Australia. fiona.tang@sydney.edu.au.
  • Maggi F; Laboratory for Advanced Environmental Engineering Research, School of Civil Engineering, The University of Sydney, Bld. J05, 2006, Sydney, NSW, Australia. federico.maggi@sydney.edu.au.
Sci Rep ; 7(1): 3320, 2017 06 12.
Article em En | MEDLINE | ID: mdl-28607347
ABSTRACT
The detection of microbial colonization in geophysical systems is becoming of interest in various disciplines of Earth and planetary sciences, including microbial ecology, biogeochemistry, geomicrobiology, and astrobiology. Microorganisms are often observed to colonize mineral surfaces, modify the reactivity of minerals either through the attachment of their own biomass or the glueing of mineral particles with their mucilaginous metabolites, and alter both the physical and chemical components of a geophysical system. Here, we hypothesise that microorganisms engineer their habitat, causing a substantial change to the information content embedded in geophysical measures (e.g., particle size and space-filling capacity). After proving this hypothesis, we introduce and test a systematic method that exploits this change in information content to detect microbial colonization in geophysical systems. Effectiveness and robustness of this method are tested using a mineral sediment suspension as a model geophysical system; tests are carried out against 105 experiments conducted with different suspension types (i.e., pure mineral and microbially-colonized) subject to different abiotic conditions, including various nutrient and mineral concentrations, and different background entropy production rates. Results reveal that this method can systematically detect microbial colonization with less than 10% error in geophysical systems with low-entropy background production rate.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Ecossistema / Entropia Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Ecossistema / Entropia Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Austrália