Skip to main content
Fig. 3. | BMC Biology

Fig. 3.

From: Modelling the suppression of a malaria vector using a CRISPR-Cas9 gene drive to reduce female fertility

Fig. 3.

Spatial variation in suppression across the study area, depending on the heterozygous female fertility costs. As Fig. 2, the three drive alleles differ in somatic expression costs (0, ‘no cost’; 0.7, ‘medium cost’; 0.8, ‘high cost’), while both parental costs and paternal male bias are set to 0. For each suppression plot (a, b, c), the quantiles are computed from the set of site by site suppression levels after 8 years of releases, averaged from ten simulation runs. The release strategy is as defined in Fig. 1. The corresponding seasonality quantiles (d) are computed from the yearly minimum population sizes in the absence of drive alleles, with most and least seasonal sites defined as the tertiles with the lowest and highest yearly minimums, respectively

Back to article page
\