Publication details
SigHunt: Horizontal Gene Transfer Finder Optimized for Eukaryotic Genomes
| Authors | |
|---|---|
| Year of publication | 2014 |
| Type | Article in Periodical |
| Magazine / Source | BIOINFORMATICS |
| MU Faculty or unit | |
| Citation | |
| Doi | http://dx.doi.org/10.1093/bioinformatics/btt727 |
| Field | Biochemistry |
| Keywords | FUNGUS ASPERGILLUS-FUMIGATUS; CRYPTOSPORIDIUM-PARVUM; SEQUENCE; EVOLUTION; IDENTIFICATION; ISLANDS; ECOLOGY |
| Description | Motivation: Genomic islands (GIs) are DNA fragments incorporated into a genome through horizontal gene transfer (also called lateral gene transfer), often with functions novel for a given organism. While methods for their detection are well researched in prokaryotes, the complexity of eukaryotic genomes makes direct utilization of these methods unreliable, and so labour-intensive phylogenetic searches are used instead. Results: We present a surrogate method that investigates nucleotide base composition of the DNA sequence in a eukaryotic genome and identifies putative GIs. We calculate a genomic signature as a vector of tetranucleotide (4-mer) frequencies using a sliding window approach. Extending the neighbourhood of the sliding window, we establish a local kernel density estimate of the 4-mer frequency. We score the number of 4-mer frequencies in the sliding window that deviate from the credibility interval of their local genomic density using a newly developed discrete interval accumulative score (DIAS). To further improve the effectiveness of DIAS, we select informative 4-mers in a range of organisms using the tetranucleotide quality score developed herein. We show that the SigHunt method is computationally efficient and able to detect GIs in eukaryotic genomes that represent nonameliorated integration. Thus, it is suited to scanning for change in organisms with different DNA composition. |