 Genotype networks are sets of genotypes connected by small mutational changes that share the same phenotype. These networks enable evolutionary innovation by allowing the exploration of different neighborhoods in genotype space. Empirical confirmation has been found for proteins and RNA, as well as comparative studies for gene regulatory networks. Three interconnected genotype networks were constructed from synthetic gene regulatory networks which produced three distinct phenotypes in E. coli. The networks contained over 20 different synthetic GINs, providing robustness in the face of mutations while enabling transitions to innovative phenotypes. Mathematical modeling was used to quantify robustness and evolvability for the complete genotype phenotype map, linking these features mechanistically to GIN motifs. This study demonstrates how GIN evolution along genotype networks may drive evolutionary innovation. This article was authored by Javier Santos-Marino, Yves Tassoudi, Hadi Astri, Kasuma Hordani, and others.