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Pearce, M. T.

Publications and source records attributed to Pearce, M. T..

2 recordsLinked to original sources

Rapid adaptation in large populations with very rare sex: scalings and spontaneous oscillations

Genetic exchange in microbes and other facultative sexuals can be rare enough that evolution is almost entirely asexual and populations almost clonal. But the benefits of genetic exchange depend crucially on the diversity of genotypes in a population. How very rare recombination together with the accumulation of new mutations shapes the diversity of large populations and gives rise to faster adaptation is still poorly understood. This paper analyzes a particularly simple model: organisms with two asexual chromosomes that can reassort during rare matings that occur at a rate r. The speed of adaptation for large population sizes, N, is found to depend on the ratio ~ log(Nr)/log(N). For larger populations, the r needed to yield the same speed deceases as a power of N. Remarkably, the population undergoes spontaneous oscillations alternating between phases when the fittest individuals are created by mutation and when they are created by reassortment, which--in contrast to conventional regimes--decreases the diversity. Between the two phases, the mean fitness jumps rapidly. The oscillatory dynamics and the strong fluctuations this induces have implications for the diversity and coalescent statistics. The results are potentially applicable to large microbial populations, especially viruses that have a small number of chromosomes. Some of the key features may be more broadly applicable for large populations with other types of rare genetic exchange.

evolutionary biology

Neutral and niche dynamics in a synthetic microbial community

Ecologists debate the relative importance of niche versus neutral processes in understanding biodiversity1,2. This debate is especially pertinent to microbial communities, which play crucial roles in biogeochemical cycling3,4, food production5, industrial processes6,7, and human health and disease8. Here we created a synthetic microbial community using heritable genetic barcodes and tracked community composition over time across a range of experimental conditions. We show that a transition exists between the neutral and niche regimes, and, consistent with theory, the crossover point depends on factors including immigration, fitness, and population size. We find that diversity declined most rapidly at intermediate population sizes, which can be explained by a tradeoff between replacement by migration and duration of growth. We then ran an experiment where the community underwent abrupt or gradual changes in size, the outcome of which highlights that selecting the correct model is essential to managing diversity. Taken together these results emphasize the importance of including niche effects to obtain realistic models across a wide range of parameters, even in simple systems.

microbiology