4.8 Article

Visualizing in situ translational activity for identifying and sorting slow-growing archaeal-bacterial consortia

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1603757113

关键词

activity-based cell sorting; BONCAT; click chemistry; ecophysiology; single-cell microbiology

资金

  1. National Science Foundation [OCE-0825791]
  2. Erwin Schrodinger Postdoctoral Fellowship from the Austrian Science Fund (FWF) [J 3162-B20]
  3. Center for Dark Energy Biosphere Investigations (C-DEBI)
  4. Gordon and Betty Moore Foundation [GBMF3780]
  5. Department of Energy (DOE) [DE-PS02-09ER09-25]
  6. JGI Director Discretionary Project Award
  7. [DE-AC02-05CH11231]

向作者/读者索取更多资源

To understand the biogeochemical roles of microorganisms in the environment, it is important to determine when and under which conditions they are metabolically active. Bioorthogonal noncanonical amino acid tagging (BONCAT) can reveal active cells by tracking the incorporation of synthetic amino acids into newly synthesized proteins. The phylogenetic identity of translationally active cells can be determined by combining BONCAT with rRNA-targeted fluorescence in situ hybridization (BONCAT-FISH). In theory, BONCAT-labeled cells could be isolated with fluorescence-activated cell sorting (BONCAT-FACS) for subsequent genetic analyses. Here, in the first application, to our knowledge, of BONCAT-FISH and BONCAT-FACS within an environmental context, we probe the translational activity of microbial consortia catalyzing the anaerobic oxidation of methane (AOM), a dominant sink of methane in the ocean. These consortia, which typically are composed of anaerobic methane-oxidizing archaea (ANME) and sulfate-reducing bacteria, have been difficult to study due to their slow in situ growth rates, and fundamental questions remain about their ecology and diversity of interactions occurring between ANME and associated partners. Our activity-correlated analyses of >16,400 microbial aggregates provide the first evidence, to our knowledge, that AOM consortia affiliated with all five major ANME clades are concurrently active under controlled conditions. Surprisingly, sorting of individual BONCAT-labeled consortia followed by whole-genome amplification and 16S rRNA gene sequencing revealed previously unrecognized interactions of ANME with members of the poorly understood phylum Verrucomicrobia. This finding, together with our observation that ANME-associated Verrucomicrobia are found in a variety of geographically distinct methane seep environments, suggests a broader range of symbiotic relationships within AOM consortia than previously thought.

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