4.8 Article

Metaproteomics method to determine carbon sources and assimilation pathways of species in microbial communities

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1722325115

Keywords

Protein-SIP; metaproteome; microbial ecology; microbiome; Q Exactive

Funding

  1. Office of Science of the US Department of Energy [DE-AC02-05CH11231]
  2. Campus Alberta Innovation Chair Program
  3. Canadian Foundation for Innovation
  4. North Carolina State Chancellor's Faculty Excellence Program Cluster on Microbiomes and Complex Microbial Communities
  5. DAAD fellowship by the German Academic Exchange Service
  6. Natural Sciences and Engineering Research Council (NSERC) of Canada through a Banting fellowship
  7. NSERC undergraduate student research award
  8. NSERC Discovery grant
  9. International Microbiome Center
  10. Government of Canada through Genome Canada
  11. Government of Alberta through Genome Alberta
  12. Genome Prairie
  13. Research Manitoba
  14. Genome Quebec
  15. Canada First Research Excellence Fund

Ask authors/readers for more resources

Measurements of stable carbon isotope ratios (delta C-13) are widely used in biology to address questions regarding food sources and metabolic pathways used by organisms. The analysis of these so-called stable isotope fingerprints (SIFs) for microbes involved in biogeochemical cycling and microbiota of plants and animals has led to major discoveries in environmental microbiology. Currently, obtaining SIFs for microbial communities is challenging as the available methods either only provide low taxonomic resolution, such as the use of lipid biomarkers, or are limited in throughput, such as nanoscale secondary ion MS imaging of single cells. Here we present direct protein-SIF and the Calis-p software package (https://sourceforge.net/projects/calis-p/), which enable high-throughput measurements of accurate delta C-13 values for individual species within a microbial community. We benchmark the method using 20 pure culture microorganisms and show that the method reproducibly provides SIF values consistent with gold-standard bulk measurements performed with an isotope ratio mass spectrometer. Using mock community samples, we demonstrate that SIF values can also be obtained for individual species within a microbial community. Finally, a case study of an obligate bacteria-animal symbiosis shows that direct protein-SIF confirms previous physiological hypotheses and can provide unexpected insights into the symbionts' metabolism. This confirms the usefulness of this approach to accurately determine delta C-13 values for different species in microbial community samples.

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