TY - JOUR A2 - Klenk, Hans-Peter AU - Thor, ShengShee AU - Peterson, Joseph R. AU - Luthey-Schulten, Zaida PY - 2017 DA - 2017/01/04 TI - Genome-Scale Metabolic Modeling of Archaea Lends Insight into Diversity of Metabolic Function SP - 9763848 VL - 2017 AB - 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 archaea. We briefly review the GEM construction process and the genealogy of the archaeal models. The major insights gained during the construction of these models are then reviewed with specific focus on novel metabolic pathway predictions and growth characteristics. Metabolic pathway usage is discussed in the context of the composition of each organism’s biomass and their specific energy and growth requirements. We show how the metabolic models can be used to study the evolution of metabolism in archaea. Conservation of particular metabolic pathways can be studied by comparing reactions using the genes associated with their enzymes. This demonstrates the utility of GEMs to evolutionary studies, far beyond their original purpose of metabolic modeling; however, much needs to be done before archaeal models are as extensively complete as those for bacteria. SN - 1472-3646 UR - https://doi.org/10.1155/2017/9763848 DO - 10.1155/2017/9763848 JF - Archaea PB - Hindawi KW - ER -