Metaproteomic analysis of Chesapeake Bay microbial communities
| Autor: | Thomas E. Hanson, Feng Chen, Kui Wang, Joy M. Ginter, Jinjun Kan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: |
0303 health sciences
030306 microbiology Chesapeake bay Ecology Research Population structure Aquatic Science Biology Microbiology 03 medical and health sciences Functional diversity Microbial population biology Metagenomics Metaproteomics 14. Life underwater Protein spot Bay Ecology Evolution Behavior and Systematics 030304 developmental biology Water Science and Technology |
| Zdroj: | Saline Systems |
| ISSN: | 1746-1448 |
| Popis: | Background Natural microbial communities are extremely complex and dynamic systems in terms of their population structure and functions. However, little is known about the in situ functions of the microbial communities. Results This study describes the application of proteomic approaches (metaproteomics) to observe expressed protein profiles of natural microbial communities (metaproteomes). The technique was validated using a constructed community and subsequently used to analyze Chesapeake Bay microbial community (0.2 to 3.0 μm) metaproteomes. Chesapeake Bay metaproteomes contained proteins from pI 4–8 with apparent molecular masses between 10–80 kDa. Replicated middle Bay metaproteomes shared ~92% of all detected spots, but only shared 30% and 70% of common protein spots with upper and lower Bay metaproteomes. MALDI-TOF analysis of highly expressed proteins produced no significant matches to known proteins. Three Chesapeake Bay proteins were tentatively identified by LC-MS/MS sequencing coupled with MS-BLAST searching. The proteins identified were of marine microbial origin and correlated with abundant Chesapeake Bay microbial lineages, Bacteroides and α-proteobacteria. Conclusion Our results represent the first metaproteomic study of aquatic microbial assemblages and demonstrate the potential of metaproteomic approaches to link metagenomic data, taxonomic diversity, functional diversity and biological processes in natural environments. |
| Databáze: | OpenAIRE |
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