Access Restriction

Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Recombination Hotspot ♦ Variable Oncogene ♦ Model-based Inference ♦ Phylogenetic Approach ♦ Pathogen Evolution ♦ Andvariable Rate ♦ Evolutionary Parameter ♦ Reliable Method ♦ High Mutation Rate ♦ Recombination Shift ♦ Nonconserved Site ♦ Dna Viral Gene ♦ Recombination Drift ♦ Known Mechanism ♦ Necessary Andessential ♦ Statistical Model ♦ Pathogenicity Locus ♦ Tyrosine Kinase ♦ Selection Pressure ♦ Therapeutic Andvaccination Strategy ♦ Emergent Problem ♦ Future Screening ♦ Association Study ♦ Population Genetic Effect ♦ Available Sequence ♦ Recombination Structure ♦ Kaposi Sarcoma-associatedherpesviral Gene
Abstract Abstract. An emergent problem in the study of pathogen evolution is our ability to determine the extent to which their rapidly evolving genomes recombine. Such information is necessary andessential for locating pathogenicity loci using association studies, and it also directs future screening, therapeutic andvaccination strategies. Recombination also complicates the use of phylogenetic approaches to infer evolutionary parameters including selection pressures. Reliable methods that identify the presence of regions of recombination are therefore vital. We illustrate the use of an integratedmodel-basedapproach to inferring recombination structure using all available sequences of the highly variable, transforming Kaposi’s sarcoma-associatedherpesviral gene, ORF-K1. This technique learns the parameters of a statistical model that takes recombination hotspots, population genetic effects, andvariable rates of mutation into account. As there are no known mechanisms to explain the high mutation rate in this DNA viral gene, recombination may account for some of the variability observed. We infer recombination hotspots in conservedsites such as the tyrosine kinase signaling motif, referredto here as recombination drift, as well as in nonconserved sites, a process described as recombination shift.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2003-01-01