Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models

Background: Horizontal gene transfer (HGT) is considered a strong evolutionary force shaping the content of microbial genomes in a substantial manner. It is the difference in speed enabling the rapid adaptation to changing environmental demands that distinguishes HGT from gene genesis, duplications or mutations. For a precise characterization, algorithms are needed that identify transfer events with high reliability. Frequently, the transferred pieces of DNA have a considerable length, comprise several genes and are called genomic islands (GIs) or more specifically pathogenicity or symbiotic islands. Results: We have implemented the program SIGI-HMM that predicts GIs and the putative donor of each individual alien gene. It is based on the analysis of codon usage (CU) of each individual gene of a genome under study. CU of each gene is compared against a carefully selected set of CU tables representing microbial donors or highly expressed genes. Multiple tests are used to identify putat...

• Type: Journal
• Year: 2006
• Where: BMCBI
• Authors: Stephan Waack, Oliver Keller, Roman Asper, Thomas Brodag, Carsten Damm, Wolfgang Florian Fricke, Katharina Surovcik, Peter Meinicke, Rainer Merkl
• Keywords: BMCBI 2006, Gene, Genomes, Microbial Genomes