Biology subjects

Ghedini, G.

Publications and source records attributed to Ghedini, G..

4 recordsLinked to original sources

bioRxiv2025

Eco-evolutionary dynamics between multiple competitors reduce phytoplankton coexistence but have limited impacts on community productivity

Species can evolve rapidly in response to competition but how evolution within communities affects community properties is unclear. To test this, we grew three marine phytoplankton species in monoculture (alone) or polyculture (together) for 17 weeks. We then combined them in communities based on their competition history (monoculture or polyculture isolates) and tracked their composition and productivity over time. We found that species dominance was unaffected, but coexistence was reduced when species evolved together (polyculture isolates). Total biovolume was robust to changes in species relative abundances. However, polyculture isolates had greater oxygen fluxes during exponential phase and were less robust to the addition of an invader. Our results suggest that evolution within communities can strengthen competitive differences between species with uneven effects on different aspects of community functioning. Thus, we should be cautious in extrapolating the consequences of evolution on community biomass to other aspects of productivity or stability.

ecology↗

bioRxiv2024

Evolution under competition increases phytoplankton production by reducing the density-dependence of net energy fluxes and growth

Competition can drive rapid evolution but forecasting how species evolve in communities remains difficult. Life history theory predicts that evolution in crowded environments should maximise population production, with intra- and inter-specific competition producing similar outcomes if species compete for similar resources. Despite its appeal, this prediction has rarely been tested in communities. To test its generality and identify its physiological basis, we experimentally evolved four species of marine phytoplankton (spanning three orders of magnitude in cell size) alone or together in a community for 4.5 months. We then quantified changes in their metabolism, demography, and competitive ability at two timepoints ([~]60 and 120 generations) in common garden experiments. One species was outcompeted during the evolution experiment. For the other three, we found the same evolutionary outcome: species evolved greater biovolume production regardless of competition treatment but did so either by increasing max. population size or individual cell size. Biovolume production increased because of the differential evolution of photosynthesis and respiration under intense competition. These metabolic changes meant that intraspecific competition decreased and cells maintained higher rates of net energy production and growth as populations neared the stationary phase. Overall, these results show that intra- and inter-specific competition influence physiological and population parameters similarly in species that compete for essential resources. Life history theory thus provides a valuable base for predicting how species evolve in communities, and our results show how these predictions connect with the evolution of metabolism and competitive ability.

ecology↗

bioRxiv2024

Biomass competition unifies individual and community scaling patterns

Both metabolism and growth scale sublinearly with body mass for most species. Ecosystems show the same sublinear scaling between production and total biomass but ecological theory cannot reconcile the existence of these nearly identical scalings at different levels of biological organization. We solve this paradox using marine phytoplankton to connect individual and ecosystem scalings across three orders of magnitude in body size and biomass. Competitive interactions determined by biomass, rather than differences in species size, slow metabolism in a consistent fashion across species that dominates over species-specific peculiarities, resulting in a unique behavior across community compositions. The allometry of ecosystem production thus emerges from this metabolic density-dependence, independently of the equilibrium state or resource regime of the system. Our findings demonstrate the mechanistic basis of ecosystem allometries, unifying aspects of physiology and ecology to explain why growth patterns are so strikingly similar across scales.

ecology↗

bioRxiv2022

Metabolic and demographic evolution in response to interspecific competition

Competition can drive rapid evolution which, in turn, alters the trajectory of ecological communities. The role of eco-evolutionary dynamics in ecological communities is increasingly well-appreciated, but a mechanistic framework for identifying the types of traits that will evolve, and their trajectories, is required. Metabolic theory makes explicit predictions about how competition should shape the evolution of metabolism and size but these predictions have gone largely untested, particularly in eukaryotes. We use experimental evolution of a eukaryotic phototroph to examine how metabolism, size, and demography coevolve under both inter- and intra-specific competition. We find that the focal species evolves a smaller body size in response to competition, reducing density-dependence and maximizing carrying capacity. Metabolic theory successfully predicted most of these adaptations, but we also find important departures from theory. Longer-term evolution (70 generations) led to Pareto improvements in both population growth rate and carrying capacity, suggesting that classic r-K trade-offs observed among species can be evaded within species. The evasion of this trade-off appeared to arise due to the rapid evolution of enhanced metabolic plasticity: lineages exposed to competition evolved more labile metabolisms that tracked resource availability more effectively than lineages that were competition-free. We predict that rapid evolution in both size and metabolism may be a ubiquitous feature of adaptation to changing resource regimes that occur via species invasions and environmental change.

ecology↗