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Models for the retention of duplicate genes and their biological underpinnings [version 1; peer review: 2 approved]

Authors :
Raquel Assis
Gavin Conant
Barbara Holland
David A. Liberles
Malgorzata M. O'Reilly
Amanda E. Wilson
Author Affiliations :
<relatesTo>1</relatesTo>Florida Atlantic University, Boca Raton, Florida, USA<br /><relatesTo>2</relatesTo>North Carolina State University, Raleigh, North Carolina, USA<br /><relatesTo>3</relatesTo>University of Tasmania, Hobart, Tasmania, Australia<br /><relatesTo>4</relatesTo>Temple University, Philadelphia, Pennsylvania, USA
Source :
F1000Research. 12:1400
Publication Year :
2023
Publisher :
London, UK: F1000 Research Limited, 2023.

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.

Details

ISSN :
20461402
Volume :
12
Database :
F1000Research
Journal :
F1000Research
Notes :
[version 1; peer review: 2 approved]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.141786.1
Document Type :
review-article
Full Text :
https://doi.org/10.12688/f1000research.141786.1