BMC Microbiology

official impact factor 2.96

Open Access Highly Access Research article

Quantitative proteomics of nutrient limitation in the hydrogenotrophic methanogen Methanococcus maripaludis

Qiangwei Xia1,2,3, Tiansong Wang2, Erik L Hendrickson1, Thomas J Lie2, Murray Hackett1 and John A Leigh2*

Author Affiliations

1 Department of Chemical Engineering, Box 355014, University of Washington, Seattle, WA 98195, USA

2 Department of Microbiology, Box 357242, University of Washington, Seattle, WA 98195, USA

3 University of Wisconsin-Madison, Department of Chemistry, Madison, WI 53706, USA

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BMC Microbiology 2009, 9:149 doi:10.1186/1471-2180-9-149

Published: 23 July 2009

Abstract

Background

Methanogenic Archaea play key metabolic roles in anaerobic ecosystems, where they use H2 and other substrates to produce methane. Methanococcus maripaludis is a model for studies of the global response to nutrient limitations.

Results

We used high-coverage quantitative proteomics to determine the response of M. maripaludis to growth-limiting levels of H2, nitrogen, and phosphate. Six to ten percent of the proteome changed significantly with each nutrient limitation. H2 limitation increased the abundance of a wide variety of proteins involved in methanogenesis. However, one protein involved in methanogenesis decreased: a low-affinity [Fe] hydrogenase, which may dominate over a higher-affinity mechanism when H2 is abundant. Nitrogen limitation increased known nitrogen assimilation proteins. In addition, the increased abundance of molybdate transport proteins suggested they function for nitrogen fixation. An apparent regulon governed by the euryarchaeal nitrogen regulator NrpR is discussed. Phosphate limitation increased the abundance of three different sets of proteins, suggesting that all three function in phosphate transport.

Conclusion

The global proteomic response of M. maripaludis to each nutrient limitation suggests a wider response than previously appreciated. The results give new insight into the function of several proteins, as well as providing information that should contribute to the formulation of a regulatory network model.