Nature, Data, And Power: How Hegemonies Shaped This Special Section

Systems of oppression—racism, colonialism, misogyny, cissexism, ableism, heteronormativity, and more—have long shaped the content and practice of science. But opportunities to reckon with these influences are rarely found within academic science, even though such critiques are well developed in the social sciences and humanities. In this special section, we attempt to bring cross-disciplinary conversations among ecology, evolution, behavior, and genetics on the one hand and critical perspectives from the social sciences and humanities on the other into the pages—and in front of the readers—of a scientific journal. In this introduction to the special section, we recount and reflect on the process of running this cross-disciplinary experiment to confront harms done in the name of science and envision alternatives

The Macroevolutionary Consequences of Niche Construction in Microbial Metabolism

Microorganisms display a stunning metabolic diversity. Understanding the origin of this diversity requires understanding how macroevolutionary processes such as innovation and diversification play out in the microbial world. Metabolic networks, which govern microbial resource use, can evolve through different mechanisms, e.g., horizontal gene transfer or de novo evolution of enzymes and pathways. This process is governed by a combination of environmental factors, selective pressures, and the constraints imposed by the genetic architecture of metabolic networks. In addition, many independent results hint that the process of niche construction, by which organisms actively modify their own and each other's niches and selective pressures, could play a major role in microbial innovation and diversification. Yet, the general principles by which niche construction shapes microbial macroevolutionary patterns remain largely unexplored. Here, we discuss several new hypotheses and directions, and suggest metabolic modeling methods that could allow us to explore large-scale empirical genotype-phenotype-(G-P)-environment spaces in order to study the macroevolutionary effects of niche construction. We hope that this short piece will further stimulate a systematic and quantitative characterization of macroevolutionary patterns and processes in microbial metabolism