FlySilico: Flux balance modeling of Drosophila larval growth and resource allocation.

ABSTRACT: Organisms depend on a highly connected and regulated network of biochemical reactions fueling life sustaining and growth promoting functions. While details of this metabolic network are well established, knowledge of the superordinate regulatory design principles is limited. Here, we investigated by iterative wet lab and modeling experiments the resource allocation process during the larval development of Drosophila melanogaster. We chose this system, as survival of the animals depends on the successful allocation of their available resources to the conflicting processes of growth and storage metabolite deposition. First, we generated "FlySilico", a curated metabolic network of Drosophila, and performed time-resolved growth and metabolite measurements with larvae raised on a holidic diet.

SUBMITTER: Schonborn JW 

PROVIDER: S-EPMC6868164 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature