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dc.creatorZhao, J
dc.creatorTeufel, AI
dc.creatorLiberles, DA
dc.creatorLiu, L
dc.date.accessioned2021-01-28T20:41:17Z
dc.date.available2021-01-28T20:41:17Z
dc.date.issued2015-12-08
dc.identifier.issn1471-2148
dc.identifier.issn1471-2148
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/5077
dc.identifier.other26643106 (pubmed)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/5095
dc.description.abstract© 2015 Zhao et al. Background: Accurately estimating the timing and mode of gene duplications along the evolutionary history of species can provide invaluable information about underlying mechanisms by which the genomes of organisms evolved and the genes with novel functions arose. Mechanistic models have previously been introduced that allow for probabilistic inference of the evolutionary mechanism for duplicate gene retention based upon the average rate of loss over time of the duplicate. However, there is currently no probabilistic model embedded in a birth-death modeling framework that can take into account the effects of different evolutionary mechanisms of gene retention when analyzing gene family data. Results: In this study, we describe a generalized birth-death process for modeling the fates of gene duplication. Use of mechanistic models in a phylogenetic framework requires an age-dependent birth-death process. Starting with a single population corresponding to the lineage of a phylogenetic tree and with an assumption of a clock that starts ticking for each duplicate at its birth, an age-dependent birth-death process is developed by extending the results from the time-dependent birth-death process. The implementation of such models in a full phylogenetic framework is expected to enable large scale probabilistic analysis of duplicates in comparative genomic studies. Conclusions: We develop an age-dependent birth-death model for understanding the mechanisms of gene retention, which allows a gene loss rate dependent on each duplication event. Simulation results indicate that different mechanisms of gene retentions produce distinct likelihood functions, which can be used with genomic data to quantitatively distinguish those mechanisms.
dc.format.extent275-
dc.language.isoen
dc.relation.haspartBMC Evolutionary Biology
dc.relation.isreferencedbySpringer Science and Business Media LLC
dc.rightsCC BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectGene duplication
dc.subjectPhylogenetic methods
dc.subjectProbabilistic models
dc.subjectBirth-death processes
dc.subjectStochastic processes
dc.titleA generalized birth and death process for modeling the fates of gene duplication
dc.typeArticle
dc.type.genreJournal Article
dc.relation.doi10.1186/s12862-015-0539-2
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.creator.orcidLiberles, David A|0000-0003-3487-8826
dc.date.updated2021-01-28T20:41:13Z
refterms.dateFOA2021-01-28T20:41:17Z


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