Community coalescence, the mixing of different communities, is widespread throughout microbial ecology. Coalescence can result in approximately equal contributions from the founding communities or dominance of one community over another. These different outcomes have ramifications for community structure and function in natural communities, and the use of microbial communities in biotechnology and medicine. However, we have little understanding of when a particular outcome might be expected. Here, we integrate existing theory and data to speculate on how a crucial characteristic of microbial communities—the type of species interaction that dominates the community—might affect the outcome of microbial community coalescence. Given the often comparable timescales of microbial ecology and microevolution, we explicitly consider ecological and evolutionary dynamics, and their interplay, in determining coalescence outcomes. This article is part of the theme issue ‘Conceptual challenges in microbial community ecology’.

Interspecific coevolutionary interactions can result in rapid biotic adaptation, but most studies have focused only on species pairs. Here, we (co)evolved five microbial species in replicate polycultures and monocultures and quantified local adaptation. Specifically, growth rate assays were used to determine adaptations of each species’ populations to (1) the presence of the other four species in general and (2) sympatric vs. allopatric communities. We found that species did not show an increase in net biotic adaptation:ancestral, polyculture‐ and monoculture‐evolved populations did not have significantly different growth rates within communities. However, 4/5 species’ growth rates were significantly lower within the community they evolved in relative to an allopatric community. ‘Local maladaptation’ suggests that species evolved increased competitive interactions to sympatric species’ populations. This increased competition did not affect community stability or productivity. Our results suggest that (co)evolution within communities can increase competitive interactions that are specific to (co)evolved community members.

Thermal performance curves (TPCs) are used to predict changes in species interactions, and hence, range shifts, disease dynamics and community composition, under forecasted climate change. Species interactions might in turn affect TPCs. Here, we investigate how temperature-dependent changes in a microbial host–parasite interaction (the bacterium Pseudomonas fluorescens, and its lytic bacteriophage, SBW Φ2) changes the host TPC and the ecological and evolutionary mechanisms underlying these changes. The bacteriophage had a narrower thermal tolerance for infection, with their critical thermal maximum ~6 °C lower than those at which the bacteria still had high growth. Consequently, in the presence of phage, the host TPC changed, resulting in a lower maximum growth rate. These changes were not just driven by differences in thermal tolerance, with temperature-dependent costs of evolved resistance also playing a major role: the largest cost of resistance occurred at the temperature at which bacteria grew best in the absence of phage. Our work highlights how ecological and evolutionary mechanisms can alter the effect of a parasite on host thermal performance, even over very short timescales.

With rising antibiotic resistance, there has been increasing interest in treating pathogenic bacteria with bacteriophages (phage therapy). One limitation of phage therapy is the ease at which bacteria can evolve resistance. Negative effects of resistance may be mitigated when resistance results in reduced bacterial growth and virulence, or when phage coevolve to overcome resistance. Resistance evolution and its consequences are contingent on the bacteria-phage combination and their environmental context, making therapeutic outcomes hard to predict. One solution might be to conduct 'in vitro evolutionary simulations' using bacteria-phage combinations from the therapeutic context. Overall, our aim was to investigate parallels between in vitro experiments and in vivo dynamics in a human participant. Evolutionary dynamics were similar, with high levels of resistance evolving quickly with limited evidence of phage evolution. Resistant bacteria - evolved in vitro and in vivo - had lower virulence. In vivo, this was linked to lower growth rates of resistant isolates, whereas in vitro phage resistant isolates evolved greater biofilm production. Population sequencing suggests resistance resulted from selection on de novo mutations rather than sorting of existing variants. These results highlight the speed at which phage resistance can evolve in vivo, and how in vitro experiments may give useful insights for clinical evolutionary outcomes.

23The ability of species to mutually invade from rare is the defining measure of species 24 coexistence. However, it is unknown whether invasion growth rates predict any characteristic 25 of long-term community dynamics. Here, we use a model five-species microbial community 26 to investigate the link between short-term growth rate and long-term relative abundance. We 27 manipulated diversity and tested the ability of species to coexist in different combinations. 28Across all diversity levels and species combinations, populations re-established from rare in 29 71 of 75 combinations and all combinations were stable in long-term culture. Moreover, short-30 term relative invader growth rate was positively associated with long-term equilibrium 31 proportion, despite large variation in interactions between species and communities. This 32 finding was confirmed using a modelling approach and suggests that the short-term invasion 33 growth rate can predict long-term relative abundance within that community. 34 56 both support (Martínez-Meyer et al. 2013) and refute (Dallas & Hastings 2018) the niche 57 centrality hypothesis across animal and plant communities. Recent theory has highlighted why 58 this macroecological relationship may not be ubiquitous, with spatial and temporal variation 59 3 and metapopulation dynamics potentially causing this relationship to break down (Holt 2019; 60