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A quasispecies approach to the evolution of sexual replication in unicellular organisms

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Abstract

This study develops a simplified model describing the evolutionary dynamics of a population composed of obligate sexually and asexually reproducing, unicellular organisms. The model assumes that the organisms have diploid genomes consisting of two chromosomes, and that the sexual organisms replicate by first dividing into haploid intermediates, which then combine with other haploids, followed by the normal mitotic division of the resulting diploid into two new daughter cells. We assume that the fitness landscape of the diploids is analogous to the single-fitness-peak approach often used in single-chromosome studies. That is, we assume a master chromosome that becomes defective with just one point mutation. The diploid fitness then depends on whether the genome has zero, one, or two copies of the master chromosome. We also assume that only pairs of haploids with a master chromosome are capable of combining so as to produce sexual diploid cells, and that this process is described by second-order kinetics. We find that, in a range of intermediate values of the replication fidelity, sexually reproducing cells can outcompete asexual ones, provided the initial abundance of sexual cells is above some threshold value. The range of values where sexual reproduction outcompetes asexual reproduction increases with decreasing replication rate and increasing population density. We critically evaluate a common approach, based on a group selection perspective, used to study the competition between populations and show its flaws in addressing the evolution of sex problem.

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Acknowledgments

JFF thanks the hospitality of the School of Biology at the Georgia Institute of Technology, where this research was initiated. JFF is supported in part by CNPq and FAPESP, Project No. 04/06156-3.

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Correspondence to José F. Fontanari.

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Tannenbaum, E., Fontanari, J.F. A quasispecies approach to the evolution of sexual replication in unicellular organisms. Theory Biosci. 127, 53–65 (2008). https://doi.org/10.1007/s12064-008-0023-2

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  • DOI: https://doi.org/10.1007/s12064-008-0023-2

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