Biomanufacturing is central to the emerging bioeconomy and is drawing growing investment and attention from industry and governments. Engineering microbes to replace fossil-dependent routes enables scalable and sustainable production of fuels, chemicals, food, materials, and pharmaceuticals that are important to society. Realizing this potential depends on the availability of robust, reproducible protocols that can be reliably implemented and scaled. New techniques and strategies are reshaping the classic design-build-test-learn (DBTL) cycle, the iterative process in which designs are implemented, experimentally tested, and refined from the results. Every phase now offers opportunities for technological acceleration that shorten turnaround times while improving accuracy and throughput, and a method earns a place in this collection when it measurably advances a phase of that cycle toward scalable, reproducible bioproduction.

This Topical Collection aims to make these advances transferable by gathering peer-reviewed, step-by-step protocols, including visual demonstrations, for the technologies and platforms driving the biomanufacturing field forward. Its scope includes microbial engineering, growth-based selection and adaptive laboratory evolution, omics, laboratory automation, cell-free synthesis, AI and machine learning, and in silico modeling methods now transforming each stage, alongside the synthetic biology, metabolic engineering, and fermentation workflows on which they build.

By presenting these methods in a form that researchers can watch and replicate, the collection offers the community a practical toolkit for building microbial cell factories that are more predictable and efficient, and for moving them more reliably from the bench toward production.