The mapping and comparison of biological networks allows for analysis to understand forces of evolution. Here, we synthesize information about polyploidy, or whole genome duplication, and its effects on network rewiring. Network changes may have lead to the diversity and survival of some lineages of life, and by understanding network evolution, we may discover patterns that explain how organisms evolve. Specifically, we focus on the consequences of polyploidy on flowering time. Our work aids those studying different aspects of polyploidy to see a bigger picture of how it contributes to evolutionary change and important features that may be involved in cancer. Future studies of biological networks will help improve models of disease and biological processes to make better crops for food, fuel, fiber, and pharmaceuticals
