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Identification of multiple gene targets that exhibit different modes of action toward a desired phenotype is a crucial step in strain improvement. Target identification methods based on traceable genetic perturbations and stoichiometric modeling have been employed before for the mining of putative overexpression and knock-out targets. Most search methods are sequential and, as such, quite limited in the space they can explore. In this study, we investigate a multi-dimensional search approach whereby unknown interactions of gene targets identified by different search methods are assessed by employing orthogonal search strategies. To this end, we combined knock-out and overexpression gene targets, identified through systematic and combinatorial approaches, respectively, in order to improve lycopene production in Escherichia coli. Specifically, we first identified multiple overexpression targets by screening …