Next generation sequencing (NGS) in combination with phage surface display (PSD) are powerful tools in the newly equipped molecular biology toolbox for the identification of specific target binding biomolecules. Application of PSD led to the discovery of manifold ligands in clinical and material research. However, limitations of traditional phage display hinder the identification process. Growth-based library biases and target-unrelated peptides often result in the dominance of parasitic sequences and the collapse of library diversity. This study describes the effective enrichment of specific peptide motifs potentially binding to arsenic as proof-of-concept using the combination of PSD and NGS. Arsenic is an environmental toxin, which is applied in various semiconductors as gallium arsenide and selective recovery of this element is crucial for recycling and remediation. The development of biomolecules as specific arsenic-binding sorbents is a new approach for its recovery. Usage of NGS for all biopanning fractions allowed for evaluation of motif enrichment, in-depth insight into the selection process and the discrimination of biopanning artefacts, e.g., the amplification-induced library-wide reduction in hydrophobic amino acid proportion. Application of bioinformatics tools led to the identification of an SxHS and a carboxy-terminal QxQ motif, which are potentially involved in the binding of arsenic. To the best of our knowledge, this is the first report of PSD combined with NGS of all relevant biopanning fractions.

Lysinibacillus sphaericus JG-B53 was isolated from the uranium mining waste pile Haberland near Johanngeorgenstadt, Germany. Previous studies have shown that many bacteria that have been isolated from these heavy metal contaminated environments possess surface layer (S-layer) proteins that enable the bacteria to survive by binding metals with high affinity. Conversely, essential trace elements are able to cross the filter layer and reach the interior of the cell. This is especially true of the S-layer of L. sphaericus JG-B53, which possesses outstanding recrystallization and metal-binding properties. In this study, S-layer protein gene sequences encoded in the genome of L. sphaericus JG-B53 were identified using next-generation sequencing technology followed by bioinformatic analyses. The genome of L. sphaericus JG-B53 encodes at least eight putative S-layer protein genes with distinct differences. Using mRNA analysis the expression of the putative S-layer protein genes was studied. The functional S-layer protein B53 Slp1 was identified as the dominantly expressed S-layer protein in L. sphaericus JG-B53 by mRNA studies, SDS-PAGE and N-terminal sequencing. B53 Slp1 is characterized by square lattice symmetry and a molecular mass of 116 kDa. The S-layer protein B53 Slp1 shows a high similarity to the functional S-layer protein of L. sphaericus JG-A12, which was isolated from the same uranium mining waste pile Haberland and has been described by previous research. These similarities indicate horizontal gene transfer and DNA rearrangements between these bacteria. The presence of multiple S-layer gene copies may enable the bacterial strains to quickly adapt to changing environments.