pH as an eco-evolutionary driver of priority effects
Chappell, C. R.; Dhami, M. K.; Bitter, M. C.; Czech, L.; Paredes, S. H.; Eritano, K.; Golden, L.-A.; Hsu, V.; Kieschnick, C.; Rush, N.; Fukami, T.
Show abstract
Priority effects, where arrival order and initial relative abundance modulate local species interactions, can exert taxonomic, functional, and evolutionary influences on ecological communities by driving them to alternative states. It remains unclear if these wide-ranging consequences of priority effects can be explained systematically by a common underlying factor. Here, we identify such a factor in an empirical system. In a series of field and laboratory studies, we focus on how pH affects nectar-colonizing microbes and their interactions with plants and pollinators. In a field survey, we found that nectar microbial communities in a hummingbird-pollinated shrub, Diplacus aurantiacus, exhibited patterns indicative of alternative stable states through domination by either bacteria or yeasts within individual flowers. In laboratory experiments, Acinetobacter nectaris, the bacterium most commonly found in D. aurantiacus nectar, exerted a strongly negative priority effect against Metschnikowia reukaufii, the most common nectar-specialist yeast, by reducing nectar pH. This priority effect likely explains the mutually exclusive pattern of dominance found in the field survey. Furthermore, experimental evolution simulating hummingbird-assisted dispersal between flowers revealed that M. reukaufii could evolve rapidly to improve resistance against the priority effect if constantly exposed to A. nectaris-induced pH reduction. Finally, in a field experiment, we found that low nectar pH could reduce nectar consumption by hummingbirds, suggesting functional consequences of the pH-driven priority effect for plant reproduction. Taken together, these results show that it is possible to identify an overarching factor that governs the eco-evolutionary dynamics of priority effects across multiple levels of biological organization.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Genomic and phenotypic evolution of Escherichia coli in a novel citrate-only resource environment 95%
- Phenotypic and molecular evolution across 10,000 generations in laboratory budding yeast populations 94%
- Dynamics and variability in the pleiotropic effects of adaptation in laboratory budding yeast populations 94%
Similar papers in this journal
- Floral organs act as environmental filters and interact with pollinators to structure the yellow monkeyflower (Mimulus guttatus) floral microbiome. 95%
- Ecology drives the evolution of diverse siderophore-production strategies in the opportunistic human pathogen Pseudomonas aeruginosa 95%
- Pollinators mediate floral microbial diversity and network under agrochemical disturbance 94%
Similar papers in this journal
- Convergence and molecular evolution of floral fragrance after independent transitions to self fertilization 93%
- Joint effects of host genotype and species arrival order govern plant microbiome composition and function 93%
- Metabolic evolution in response to interspecific competition in a eukaryote 93%
Similar papers in this journal
- Maintenance of metabolic plasticity despite relaxed selection in a long-term evolution experiment with Escherichia coli 95%
- Multivariate divergence in wild microbes: no evidence for evolution along a genetic line of least resistance 94%
- Fight not flight: parasites drive the bacterial evolution of resistance, not escape 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.