Assis R, Conant G, Holland B, Liberles DA, O'Reilly MM, Wilson AE. Models for the retention of duplicate genes and their biological underpinnings.
F1000Res 2024;
12:1400. [PMID:
38173826 PMCID:
PMC10762295 DOI:
10.12688/f1000research.141786.1]
[Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/08/2024] [Indexed: 01/05/2024] Open
Abstract
Gene content in genomes changes through several different processes, with gene duplication being an important contributor to such changes. Gene duplication occurs over a range of scales from individual genes to whole genomes, and the dynamics of this process can be context dependent. Still, there are rules by which genes are retained or lost from genomes after duplication, and probabilistic modeling has enabled characterization of these rules, including their context-dependence. Here, we describe the biology and corresponding mathematical models that are used to understand duplicate gene retention and its contribution to the set of biochemical functions encoded in a genome.
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