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Biology subjects

Boete, C.

Publications and source records attributed to Boete, C..

2 recordsLinked to original sources

Evaluating the Probability of CRISPR-based Gene Drive Contaminating Another Species

The probability D that a given CRISPR-based gene drive element contaminates another, non-target species can be estimated by the following Drive Risk Assessment Quantitative Estimate (DRAQUE) Equation: D = (hyb+transf).express.cut.flank.immune.nonextinct with\nhyb = probability of hybridization between the target species and a non-target species\ntransf = probability of horizontal transfer of a piece of DNA containing the gene drive cassette from the target species to a non-target species (with no hybridization)\nexpress = probability that the Cas9 and guide RNA genes are expressed\ncut = probability that the CRISPR-guide RNA recognizes and cuts at a DNA site in the new host\nflank = probability that the gene drive cassette inserts at the cut site\nimmune = probability that the immune system does not reject Cas9-expressing cells\nnonextinct = probability of invasion of the drive within the population\n\n\nWe discuss and estimate each of the seven parameters of the equation, with particular emphasis on possible transfers within insects, and between rodents and humans. We conclude from current data that the probability of a gene drive cassette to contaminate another species is not insignificant. We propose strategies to reduce this risk and call for more work on estimating all the parameters of the formula.

genetics↗

Strategies of host resistance to pathogens in spatially structured populations: An agent-based evaluation.

There is growing theoretical evidence that spatial structure can affect the ecological and evolutionary outcomes of host-parasite interactions. Locally restricted interactions have been shown in particular to affect host resistance and tolerance. In this study we investigate the evolution of several types of host disease resistance strategies, alone or in combination, in spatially structured populations. We construct a spatially explicit, individual-based stochastic model where hosts and parasites interact with each other in a spatial lattice, and interactions are restricted to a given neighbourhood of varying size. We investigate several host resistance strategies, including constitutive (expressed in all resistant hosts), induced (expressed only upon infection), and combinations thereof. We show that the specific resistance mechanism against a pathogen as well as the size of the neighbourhood both affect resistance spread and parasite dynamics, an effect modulated by the level of the cost of resistance. Our results shed new light on the dynamics of disease resistance in a spatially-structured host-pathogen system, and illustrate the conditions in which a variety of resistance mechanisms can be maintained, including when they are costly. Overall these results advance our theoretical understanding of the evolutionary dynamics of disease resistance, a necessary step to elaborate more efficient and sustainable strategies for disease management.

evolutionary biology↗