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Curr Opin Plant Biol. 2014 Jun;19:91-8. doi: 10.1016/j.pbi.2014.05.008. Epub 2014 Jun 5.

Dosage, duplication, and diploidization: clarifying the interplay of multiple models for duplicate gene evolution over time.

Author information

1
Division of Animal Sciences, University of Missouri, Columbia, MO 65211, United States; Informatics Institute, University of Missouri, Columbia, MO 65211, United States. Electronic address: conantg@missouri.edu.
2
Division of Biological Sciences, University of Missouri, Columbia, MO 65211, United States. Electronic address: birchlerj@missouri.edu.
3
Informatics Institute, University of Missouri, Columbia, MO 65211, United States; Division of Biological Sciences, University of Missouri, Columbia, MO 65211, United States. Electronic address: piresjc@missouri.edu.

Abstract

Requirements to maintain dosage balance shape many genome-scale patterns in organisms, including the resolution of whole genome duplications (WGD), as well as the varied effects of aneuploidy, segmental duplications, tandem duplications, gene copy number variations (CNV), and epigenetic marks. Like neofunctionalization and subfunctionalization, the impact of absolute and relative dosage varies over time. These variations are of particular importance in understanding the role of dosage in the evolution of polyploid organisms. Numerous investigations have found the consequences of polyploidy remain distinct from small-scale duplications (SSD). This observation is significant as all flowering plants have experienced at least two ancient polyploid events, and many angiosperm lineages have undergone additional rounds of polyploidy. Intriguingly, recent studies indicate a link between how epigenetic marks in recent allopolyploids may induce immediate changes in gene expression and the longer-term patterns of biased fractionation and chromosomal evolution. We argue that dosage effects represent one aspect of an emerging pluralistic framework, a framework that will use biophysics, genomic technologies, and systems-level models of cells to broaden our view of how genomes evolve.

PMID:
24907529
DOI:
10.1016/j.pbi.2014.05.008
[Indexed for MEDLINE]

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