Repeatability of phenotypic consequences due to whole-genome duplication in Spirodela polyrhiza
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Wiley
Abstract
Whole-genome duplication (WGD) is widespread in plants, yet the extent to which it yields predictable phenotypic outcomes remains unclear. Here, we show that the phenotypic consequences of genome doubling in a duckweed model system, Spirodela polyrhiza, are highly repeatable and largely deterministic.
We previously generated three independent colchicine-induced autotetraploids from each of nine globally distributed diploid genotypes and now quantified growth and morphology across a salt gradient.
In benign conditions, diploids grew faster, whereas tetraploids had larger, thicker fronds. As salinity increased, the diploid growth advantage diminished, and tetraploids frequently matched or exceeded diploid growth rates. By partitioning the components of variance in growth in our experimental design, we found that ploidy per se explained a comparable amount of phenotypic variation in growth and substantially more variation in salt tolerance than the genotypic background, with evidence of rare within-genotype stochastic differences between tetraploids.
These results indicate that the shifts in morphology and stress tolerance from genome doubling are predictable and can match the phenotypic effect from genetic sequence diversity.
Description
DATA AVAILABILITY : Data and R code to analyze the data and generate figures are available at https://doi.org/10.5281/zenodo.19725769 (Mortier, 2026).
SUPPORTING INFORMATION
FIGURE S1. Global map of Spirodela polyrhiza genotype distribution.
FIGURE S2. Ploidy check of all Spirodela polyrhiza clones.
FIGURE S3. DNA content distribution of potential nuclei from flow cytometry in Spirodela polyrhiza clone 9512b.
FIGURE S4. Dry weight in Spirodela polyrhiza clones.
FIGURE S5. Relative growth rate (RGR) of Spirodela polyrhiza in control conditions in terms of number of fronds, fresh weight, and frond surface area.
FIGURE S6. Variability by different factors for each growth metric in control conditions.
FIGURE S7. Correlation between growth in count, fresh weight and frond surface area.
FIGURE S8. Correlations between morphology and growth rate in control conditions.
FIGURE S9. Relative growth rate at 6 g l−1 NaCl.
FIGURE S10. Relative growth rate at 8 g l−1 NaCl.
FIGURE S11. Relative growth rate in all metrics across salt gradient.
FIGURE S12. Finite-sample variance in coefficients across salt gradient.
FIGURE S13. Posterior variability of different sources across salt gradient.
FIGURE S14. Posterior variability of genotype-specific stochastic ploidy effect across salt gradient.
FIGURE S15. Comparison of adaptive potential between cytotypes across salt gradient.
FIGURE S16. Correlations between morphology and growth rate across salt gradient.
NOTES S1. Spirodela polyrhiza diploid genotypes.
NOTES S2. Flow cytometry protocol and results.
NOTES S3. Complete model formulation of growth in control medium.
NOTES S4. Model formulation of growth in salt gradient extension.
NOTES S5. Dry weight.
Keywords
Whole-genome duplication (WGD), Duckweed, Stress tolerance, Spirodela polyrhiza, Polyploidy, Phenotypic heterogeneity, Phenotypic evolution
Sustainable Development Goals
SDG-15: Life on land
Citation
Mortier, F., Bafort, Q., Bonte, D. and Van de Peer, Y. (2026), Repeatability of phenotypic consequences due to whole-genome duplication in Spirodela polyrhiza. New Phytologist, vol. 251, no. 3, pp. 1538-1549. https://doi.org/10.1111/nph.71256.
