Patterns of ^(15)N assimilation and growth of methanotrophic ANME-2 archaea and sulfate-reducing bacteria within structured syntrophic consortia revealed by FISH-SIMS

Autor: Orphan, Victoria J., Turk, Kendra A., Green, Abigail M., House, Christopher H.
Jazyk: angličtina
Rok vydání: 2009
Popis: Methane release from the oceans is controlled in large part by syntrophic interactions between anaerobic methanotrophic archaea (ANME) and sulfate-reducing bacteria (DSS), frequently found as organized consortia. An understanding of the specifics of this symbiotic relationship and the metabolic heterogeneity existing between and within individual methane-oxidizing aggregates is currently lacking. Here, we use the microanalytical method FISH-SIMS (fluorescence in situ hybridization-secondary ion mass spectrometry) to describe the physiological traits and anabolic activity of individual methanotrophic consortia, specifically tracking ^(15)N-labelled protein synthesis to examine the effects of organization and size on the metabolic activity of the syntrophic partners. Patterns of 15N distribution within individual aggregates showed enhanced ^(15)N assimilation in ANME-2 cells relative to the co-associated DSS revealing a decoupling in anabolic activity between the partners. Protein synthesis in ANME-2 cells was sustained throughout the core of individual ANME-2/DSS consortia ranging in size range from 4 to 20 μm. This indicates that metabolic activity of the methane-oxidizing archaea is not limited to, or noticeably enhanced at the ANME−2/DSS boundary. Overall, the metabolic activity of both syntrophic partners within consortia was greater than activity measured in representatives of the ANME-2 and DSS observed alone, with smaller ANME-2/DSS aggregates displaying a tendency for greater ^(15)N uptake and doubling times ranging from 3 to 5 months. The combination of ^(15)N-labelling and FISH-SIMS provides an important perspective on the extent of heterogeneity within methanotrophic aggregates and may aid in constraining predictive models of activity and growth by these syntrophic consortia.
Databáze: OpenAIRE