The khmer package is a freely available software library for working efficiently with fixed length DNA words, or k-mers. khmer provides implementations of a probabilistic k-mer counting data structure, a compressible De Bruijn graph representation, De Bruijn graph partitioning, and digital normalization. khmer is implemented in C++ and Python, and is freely available under the BSD license at  https://github.com/dib-lab/khmer/.

Deep mutational scanning is a foundational tool for addressing the functional consequences of large numbers of mutants, but a more efficient and accessible method for construction of user-defined mutagenesis libraries is needed. Here we present nicking mutagenesis, a robust, single-day, one-pot saturation mutagenesis method performed on routinely prepped plasmid dsDNA. The method can be used to produce comprehensive or single- or multi-site saturation mutagenesis libraries.

Comprehensive sequence-function mapping involves detailing the fitness contribution of every possible single mutation to a gene by comparing the abundance of each library variant before and after selection for the phenotype of interest. Deep sequencing of library DNA allows frequency reconstruction for tens of thousands of variants in a single experiment, yet short read lengths of current sequencers makes it challenging to probe genes encoding full-length proteins. Here we extend the scope of sequence-function maps to entire protein sequences with a modular, universal sequence tiling method. We demonstrate the approach with both growth-based selections and FACS screening, offer parameters and best practices that simplify design of experiments, and present analytical solutions to normalize data across independent selections. Using this protocol, sequence-function maps covering full sequences can be obtained in four to six weeks. Best practices introduced in this manuscript are fully compatible with, and complementary to, other recently published sequence-function mapping protocols.

[FeFe] hydrogenases catalyze the reversible reduction of protons to molecular hydrogen (Adams (1990); Biochim Biophys Acta 1020(2): 115-145) and are of significant interest for the biological production of hydrogen fuel. They are complex proteins with active sites containing iron, sulfur, and carbon monoxide and cyanide ligands (Peters et al. (1998); Science 282(5395): 1853-1858). Maturation enzymes for [FeFe] hydrogenases have been identified (Posewitz et al. (2004); J Biol Chem 279(24): 25711-25720), but complete mechanisms have not yet been elucidated. The study of [FeFe] hydrogenases has been impeded by the lack of an easily manipulated expression/activation system capable of producing these complex and extremely oxygen-sensitive enzymes. Here we show the first expression of functional [FeFe] hydrogenases in an Escherichia coli-based cell-free transcription/translation system. We have produced and matured both algal and bacterial hydrogenases using E. coli cell extracts containing the HydG, HydE, and HydF proteins from Shewanella oneidensis. The current system produces approximately 22 microg/mL of active protein, constituting approximately 44% of the total protein produced. Active protein yield is greatly enhanced by pre-incubation of the maturation enzyme-containing extract with inorganic iron and sulfur for reconstitution of the [Fe-S] clusters in HydG, HydE, and HydF. The absence of cell walls permits direct addition of cofactors and substrates, enabling rapid production of active protein and providing control over the maturation conditions. These new capabilities will enhance the investigation of complex proteins requiring helper proteins for maturation and move us closer to the development of improved hydrogenases for biological production of hydrogen as a clean, renewable alternative fuel.