title: Identification of Horizontally-transferred Genomic Islands and Genome Segmentation Points by Using the GC Profile Method.
abstract: The nucleotide composition of genomes undergoes dramatic variations among all three kingdoms of life. GC content, an important characteristic for a genome, is related to many important functions, and therefore GC content and its distribution are routinely reported for sequenced genomes. Traditionally, GC content distribution is assessed by computing GC contents in windows that slide along the genome. Disadvantages of this routinely used window-based method include low resolution and low sensitivity. Additionally, different window sizes result in different GC content distribution patterns within the same genome. We proposed a windowless method, the GC profile, for displaying GC content variations across the genome. Compared to the window-based method, the GC profile has the following advantages: 1) higher sensitivity, because of variation-amplifying procedures; 2) higher resolution, because boundaries between domains can be determined at one single base pair; 3) uniqueness, because the GC profile is unique for a given genome and 4) the capacity to show both global and regional GC content distributions. These characteristics are useful in identifying horizontally-transferred genomic islands and homogenous GC-content domains. Here, we review the applications of the GC profile in identifying genomic islands and genome segmentation points, and in serving as a platform to integrate with other algorithms for genome analysis. A web server generating GC profiles and implementing relevant genome segmentation algorithms is available at: www.zcurve.net.
authors.affiliation: Center for Molecular Medicine and Genetics, School of Medicine, Wayne State University, Detroit, MI, USA;
authors.forename: Ren
authors.initials: R
authors.lastname: Zhang
authors.affiliation: State Key Laboratory of Microbial Metabolism and School of Life Sciences & Biotechnology, Shanghai Jiaotong University, Shanghai 200030, China;
authors.forename: Hong-Yu
authors.initials: HY
authors.lastname: Ou
authors.affiliation: Department of Physics, Tianjin University, Tianjin, 300072, China.
authors.forename: Feng
authors.initials: F
authors.lastname: Gao
authors.affiliation: Department of Physics, Tianjin University, Tianjin, 300072, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Luo
keywords: GC profile; Genome segmentation.; Genomic island