Analysis of a mechanistic Markov model for gene duplicates evolving under subfunctionalization

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• 作者：Tristan L. Stark ; David A. Liberles ; Barbara R. Holland&#8230
• 关键词：Continuous ; time Markov chain (CTMC) ; Phase ; type distribution ; Subfunctionalization ; Nonfunctionalization ; Pseudogenization ; Neofunctionalization ; Gene duplication
• 刊名：BMC Evolutionary Biology
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：17
• 期：1
• 全文大小：1089KB
• 刊物主题：Evolutionary Biology; Animal Systematics/Taxonomy/ Biogeography; Entomology; Genetics and Population Dynamics; Life Sciences, general;
• 出版者：BioMed Central
• ISSN：1471-2148
• 卷排序：17

文摘

BackgroundGene duplication has been identified as a key process driving functional change in many genomes. Several biological models exist for the evolution of a pair of duplicates after a duplication event, and it is believed that gene duplicates can evolve in different ways, according to one process, or a mix of processes. Subfunctionalization is one such process, under which the two duplicates can be preserved by dividing up the function of the original gene between them. Analysis of genomic data using subfunctionalization and related processes has thus far been relatively coarse-grained, with mathematical treatments usually focusing on the phenomenological features of gene duplicate evolution.