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Characterization of Growth and Metabolism of the Haloalkaliphile Natronomonas pharaonis

Overview of attention for article published in PLoS Computational Biology, June 2010
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Title
Characterization of Growth and Metabolism of the Haloalkaliphile Natronomonas pharaonis
Published in
PLoS Computational Biology, June 2010
DOI 10.1371/journal.pcbi.1000799
Pubmed ID
Authors

Orland Gonzalez, Tanja Oberwinkler, Locedie Mansueto, Friedhelm Pfeiffer, Eduardo Mendoza, Ralf Zimmer, Dieter Oesterhelt

Abstract

Natronomonas pharaonis is an archaeon adapted to two extreme conditions: high salt concentration and alkaline pH. It has become one of the model organisms for the study of extremophilic life. Here, we present a genome-scale, manually curated metabolic reconstruction for the microorganism. The reconstruction itself represents a knowledge base of the haloalkaliphile's metabolism and, as such, would greatly assist further investigations on archaeal pathways. In addition, we experimentally determined several parameters relevant to growth, including a characterization of the biomass composition and a quantification of carbon and oxygen consumption. Using the metabolic reconstruction and the experimental data, we formulated a constraints-based model which we used to analyze the behavior of the archaeon when grown on a single carbon source. Results of the analysis include the finding that Natronomonas pharaonis, when grown aerobically on acetate, uses a carbon to oxygen consumption ratio that is theoretically near-optimal with respect to growth and energy production. This supports the hypothesis that, under simple conditions, the microorganism optimizes its metabolism with respect to the two objectives. We also found that the archaeon has a very low carbon efficiency of only about 35%. This inefficiency is probably due to a very low P/O ratio as well as to the other difficulties posed by its extreme environment.

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The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
Iran, Islamic Republic of 2 3%
Portugal 1 1%
Austria 1 1%
United Kingdom 1 1%
Japan 1 1%
United States 1 1%
Philippines 1 1%
Unknown 59 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 25%
Student > Ph. D. Student 15 22%
Student > Master 9 13%
Student > Bachelor 4 6%
Student > Doctoral Student 3 4%
Other 10 14%
Unknown 11 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 48%
Biochemistry, Genetics and Molecular Biology 8 12%
Computer Science 4 6%
Environmental Science 3 4%
Engineering 2 3%
Other 5 7%
Unknown 14 20%