title: To get what we aim for--progress in diversity generation methods.
abstract: Protein re-engineering by directed evolution has become a standard approach for tailoring enzymes in many fields of science and industry. Advances in screening formats and screening systems are fueling progress and enabling novel directed evolution strategies, despite the fact that the quality of mutant libraries can still be improved significantly. Diversity generation strategies in directed enzyme evolution comprise three options: (a) focused mutagenesis (selected residues are randomized); (b) random mutagenesis (mutations are randomly introduced over the whole gene); and (c) gene recombination (stretches of genes are mixed to chimeras in a random or rational manner). Either format has both advantages and limitations depending on the targeted enzyme and property. The quality of diverse mutant libraries plays a key role in finding improved mutants. In this review, we summarize methodological advancements and novel concepts (since 2009) in diversity generation for all three formats. Advancements are discussed with respect to the state of the art in diversity generation and high-throughput screening capabilities, as well as robustness and simplicity in use. Furthermore, limitations and remaining challenges are emphasized 'to get what we aim for' through 'optimal diversity' generation.
authors: Lehrstuhl für Biotechnologie, RWTH Aachen University, Aachen, Germany.
authors: Anna J
authors: AJ
authors: Ruff
authors: Alexander
authors: A
authors: Dennig
authors: Ulrich
authors: U
authors: Schwaneberg
mesh_terms: D000818:Animals; D055162:Biocatalysis; D035843:Biomedical Research / Q000639:trends; D001709:Biotechnology / Q000639:trends; D019020:Directed Molecular Evolution / Q000639:trends*; D015723:Gene Library; D006040:Goals; D006801:Humans; D016296:Mutagenesis; D015202:Protein Engineering / Q000639:trends*; D011994:Recombinant Proteins / Q000737:chemistry / Q000378:metabolism; D011995:Recombination, Genetic
chemical_list: D011994:Recombinant Proteins