Polyploidy impacts population growth and competition with diploids: multigenerational experiments reveal key life-history trade-offs
- PMID: 36740596
- DOI: 10.1111/nph.18794
Polyploidy impacts population growth and competition with diploids: multigenerational experiments reveal key life-history trade-offs
Abstract
Ecological theory predicts that early generation polyploids ('neopolyploids') should quickly go extinct owing to the disadvantages of rarity and competition with their diploid progenitors. However, polyploids persist in natural habitats globally. This paradox has been addressed theoretically by recognizing that reproductive assurance of neopolyploids and niche differentiation can promote establishment. Despite this, the direct effects of polyploidy at the population level remain largely untested despite establishment being an intrinsically population-level process. We conducted population-level experiments where life-history investment in current and future growth was tracked in four lineage pairs of diploids and synthetic autotetraploids of the aquatic plant Spirodela polyrhiza. Population growth was evaluated with and without competition between diploids and neopolyploids across a range of nutrient treatments. Although neopolyploid populations produce more biomass, they reach lower population sizes and have reduced carrying capacities when growing alone or in competition across all nutrient treatments. Thus, contrary to individual-level studies, our population-level data suggest that neopolyploids are competitively inferior to diploids. Conversely, neopolyploid populations have greater investment in dormant propagule production than diploids. Our results show that neopolyploid populations should not persist based on current growth dynamics, but high potential future growth may allow polyploids to establish in subsequent seasons.
Keywords: Araceae; duckweed; nutrient limitation; stoichiometry; synthetic polyploid; whole-genome duplication.
© 2023 The Authors New Phytologist © 2023 New Phytologist Foundation.
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