TY - JOUR T1 - Protein Homology Network Families Reveal Step-Wise Diversification of Type III and Type IV Secretion Systems A1 - Medini, Duccio A1 - Covacci, Antonello A1 - Donati, Claudio Y1 - 2006/12/01 N2 - From the analysis of 251 prokaryotic genomes stored in public databases, the 761,260 deduced proteins were used to reconstruct a complete set of bacterial proteic families. Using the new Overlap algorithm, we have partitioned the Protein Homology Network (PHN), where the proteins are the nodes and the links represent homology relationships. The algorithm identifies the densely connected regions of the PHN that define the families of homologous proteins, here called PHN-Families, recognizing the phylogenetic relationships embedded in the network. By direct comparison with a manually curated dataset, we assessed that this classification algorithm generates data of quality similar to a human expert. Then, we explored the network to identify families involved in the assembly of Type III and Type IV secretion systems (T3SS and T4SS). We noticed that, beside a core of conserved functions (eight proteins for T3SS, seven for T4SS), a variable set of accessory components is always present (one to nine for T3SS, one to five for T4SS). Each member of the core corresponds to a single PHN-Family, while accessory proteins are distributed among different pure families. The PHN-Family classification suggests that T3SS and T4SS have been assembled through a step-wise, discontinuous process, by complementing the conserved core with subgroups of nonconserved proteins. Such genetic modules, independently recruited and probably tuned on specific effectors, contribute to the functional specialization of these organelles to different microenvironments. JF - PLOS Computational Biology JA - PLOS Computational Biology VL - 2 IS - 12 UR - https://doi.org/10.1371/journal.pcbi.0020173 SP - e173 EP - PB - Public Library of Science M3 - doi:10.1371/journal.pcbi.0020173 ER -