Literature DB >> 24107188

Longin and GAF domains: structural evolution and adaptation to the subcellular trafficking machinery.

Nicola De Franceschi1, Klemens Wild, Alexander Schlacht, Joel B Dacks, Irmgard Sinning, Francesco Filippini.   

Abstract

Endomembrane trafficking is one of the most prominent cytological features of eukaryotes. Given their widespread distribution and specialization, coiled-coil domains, coatomer domains, small GTPases and Longin domains are considered primordial 'building blocks' of the membrane trafficking machineries. Longin domains are conserved across eukaryotes and were likely to be present in the Last Eukaryotic Common Ancestor. The Longin fold is based on the α-β-α sandwich architecture and a unique topology, possibly accounting for the special adaptation to the eukaryotic trafficking machinery. The ancient Per ARNT Sim (PAS) and cGMP-specific phosphodiesterases, Adenylyl cyclases and FhlA (GAF) family domains show a similar architecture, and the identification of prokaryotic counterparts of GAF domains involved in trafficking provides an additional connection for the endomembrane system back into the pre-eukaryotic world. Proteome-wide, comparative bioinformatic analyses of the domains reveal three binding regions (A, B and C) mediating either specific or conserved protein-protein interactions. While the A region mediates intra- and inter-molecular interactions, the B region is involved in binding small GTPases, thus providing an evolutionary connection among major building blocks in the endomembrane system. Finally, we propose that the peculiar interaction surface of the C region of the Longin domain allowed it to extensively integrate into the endomembrane trafficking machinery in the earliest stages of building the eukaryotic cell.
© 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  GAF; Last Eukaryotic Common Ancestor; Longin; PAS; architecture; evolution; fold; permutation; protein domain; subcellular trafficking; topology

Mesh:

Substances:

Year:  2013        PMID: 24107188     DOI: 10.1111/tra.12124

Source DB:  PubMed          Journal:  Traffic        ISSN: 1398-9219            Impact factor:   6.215


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