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The course of evolution is strongly shaped by interaction between mutations. Such epistasis can yield rugged sequence–function maps and constrain the availability of adaptive paths. While theoretical intuition is often built on global statistics of large, homogeneous model landscapes, mutagenesis measurements necessarily probe a limited neighborhood of a reference genotype. It is unclear to what extent local topography of a real epistatic landscape represents its global shape. Here, we demonstrate that epistatic landscapes can be heterogeneously rugged and this heterogeneity may render biomolecules more evolvable. By characterizing a multipeaked fitness landscape of a SARS-CoV-2 antibody mutant library, we show that heterogeneous ruggedness arises from sparse epistatic hotspots, whose mutation impacts the fitness effect of numerous sequence sites. Surprisingly, mutating an epistatic hotspot may enhance, rather than reduce, the accessibility of the fittest genotype, while increasing the overall ruggedness. Further, migratory constraints in real space alleviate mutational constraints in sequence space, which not only diversify direct paths taken but may also turn a road-blocking fitness peak into a stepping stone leading toward the global optimum. Our results suggest that a hierarchy of epistatic hotspots may organize the fitness landscape in such a way that path-orienting ruggedness confers global smoothness. 

Electrification of the transportation industry introduces far-reaching paradigm shifts in sustainability, energy dependency, and manufacturing sectors. The ultimate success of this transition, in part, depends on sustainable development of highly efficient, reliable, and affordable electric propulsion systems. This article provides an overview on the existing practices and future trends in magnetic design, power electronic converter, and control/safety for electric propulsion systems. Efficiency, torque density, cost, noise and vibration, and reliability are used as figures of merit in this study. Our investigation identifies the areas of research with the highest impact and the highest urgency. Although several challenges have been identified, these areas all provide great opportunities for future research in this emerging industry.