2017
DOI: 10.1155/2017/9763848
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Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function

Abstract: Decades of biochemical, bioinformatic, and sequencing data are currently being systematically compiled into genome-scale metabolic reconstructions (GEMs). Such reconstructions are knowledge-bases useful for engineering, modeling, and comparative analysis. Here we review the fifteen GEMs of archaeal species that have been constructed to date. They represent primarily members of the Euryarchaeota with three-quarters comprising representative of methanogens. Unlike other reviews on GEMs, we specially focus on arc… Show more

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Cited by 22 publications
(15 citation statements)
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“…We have employed here the power of de novo assembled transcriptomes to reveal gains and losses of function along evolutionary trajectories. Similar kinds of analyses can, of course, be done with genome sequences 1820 ., which have the considerable advantage of near-completeness. Why bother, then, with transcriptomes?…”
Section: Discussionmentioning
confidence: 99%
“…We have employed here the power of de novo assembled transcriptomes to reveal gains and losses of function along evolutionary trajectories. Similar kinds of analyses can, of course, be done with genome sequences 1820 ., which have the considerable advantage of near-completeness. Why bother, then, with transcriptomes?…”
Section: Discussionmentioning
confidence: 99%
“…Using genome scale metabolic network analysis to investigate the biochemical and physiological properties of archaea is still a developing effort. So far, only 15 GEMs for 10 archaea have been reconstructed (Thor et al 2017 ). Most of them are methanogenic species, while most of methanogenic GEMs were derived from one GEM iMB745 for M. acetivorans (Benedict et al 2012 ).…”
Section: Discussionmentioning
confidence: 99%
“…Genome‐scale metabolic models (GSMs, also known as GEMs) were first introduced two decades ago for Haemophilus influenzae , 36 then extended for microbial model organisms such as Escherichia coli 37 and have since become an indispensable component of systems‐level analysis of metabolism and redesign 38 . GSMs for not only bacteria 39 and archaea 40 but also for plants 41,42 and mammals 43 are currently available, with many others under development. A GSM offers a computations‐ready set of stoichiometry‐based, mass‐balanced metabolic reactions in an organism with corresponding gene–protein–reaction (GPR) associations.…”
Section: Genome‐scale Metabolic Modelsmentioning
confidence: 99%