Journal
AMERICAN JOURNAL OF BOTANY
Volume 103, Issue 7, Pages 1175-1186Publisher
WILEY
DOI: 10.3732/ajb.1500408
Keywords
genome downsizing; large genome thresholds; monoploid number; polyploidy; whole-genome duplications
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Funding
- NSF IGERT program [DGE-0801544]
- NSF DDIG program [DEB-1501547]
- Division Of Integrative Organismal Systems
- Direct For Biological Sciences [1501547] Funding Source: National Science Foundation
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PREMISE OF THE STUDY: Whole-genome duplications (WGDs) can rapidly increase genome size in angiosperms. Yet their mean genome size is not correlated with ploidy. We compared three hypotheses to explain the constancy of genome size means across ploidies. The genome downsizing hypothesis suggests that genome size will decrease by a given percentage after a WGD. The genome size threshold hypothesis assumes that taxa with large genomes or large monoploid numbers will fail to undergo or survive WGDs. Finally, the genome downsizing and threshold hypothesis suggests that both genome downsizing and thresholds affect the relationship between genome size means and ploidy. METHODS: We performed nonparametric bootstrap simulations to compare observed angiosperm genome size means among species or genera against simulated genome sizes under the three different hypotheses. We evaluated the hypotheses using a decision theory approach and estimated the expected percentage of genome downsizing. KEY RESULTS: The threshold hypothesis improves the approximations between mean genome size and simulated genome size. At the species level, the genome downsizing with thresholds hypothesis best explains the genome size means with a 15% genome downsizing percentage. In the genus level simulations, the monoploid number threshold hypothesis best explains the data. CONCLUSIONS: Thresholds of genome size and monoploid number added to genome downsizing at species level simulations explain the observed means of angiosperm genome sizes, and monoploid number is important for determining the genome size mean at the genus level.
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