Models for the retention of duplicate genes and their biological underpinnings [version 1; peer review: 2 approved]
| Autor: | Amanda E. Wilson, David A. Liberles, Malgorzata M. O'Reilly, Gavin Conant, Barbara Holland, Raquel Assis |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | F1000Research, Vol 12 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2046-1402 41566750 |
| DOI: | 10.12688/f1000research.141786.1 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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