Biology subjects

Sieber, V.

Publications and source records attributed to Sieber, V..

4 recordsLinked to original sources

bioRxiv2026

Unraveling Xanthomonas acetyltransferase GumG: decoding catalytic promiscuity, understanding the mechanism, and enhancing enzymatic versatility

Xanthan is a structurally complex exopolysaccharide produced by Xanthomonas campestris and one of the most extensively studied microbial biopolymers. As a sustainable alternative to petroleum-based polymers, its broader application requires precise control of polysaccharide decoration, yet the enzymatic basis of these modifications remains incompletely understood. Here, we characterise the activity and substrate scope of GumG, an AT-3 domain-containing membrane-bound acetyltransferase responsible for xanthan O-acetylation. Using mass spectrometry in combination with in vitro and in vivo assays, we show that GumG mediates non-specific acetylation of the outer mannose residue and displays pronounced substrate promiscuity. GumG also exhibits limited propionyltransferase activity, enabling the biosynthesis of hybrid acetylated-propionylated xanthan at an 8.27:1 ratio. Molecular docking and analysis of 31 xanthan variants identify a cytoplasmic substrate-binding pocket defined by Val67 and Phe71 that governs donor specificity, and an engineered GumG variant (F71L) shows enhanced propionyltransferase activity. In addition, a periplasmic His40-Trp143-Asp246-His297 motif is proposed to constitute the catalytic center. Together, these findings provide mechanistic insight into GumG multifunctionality and establish a framework for engineering xanthan derivatives with tailored physicochemical properties.

microbiology↗

bioRxiv2025

Bioprospecting c-di-GMP activated exopolysaccharides in bacteria

The genetic and physiological diversity of bacteria are critical resources to discover new exopolysaccharides (EPS) as raw materials with biotechnological applications. However, uncovering new EPS is limited by their lack of production in laboratory cultures, as EPS are often cryptic and their biosynthesis only proceed upon unknown environmental cues. The dinucleotide cyclic di-GMP (c-di-GMP) has emerged as a universal second messenger in bacteria and common activator of many EPS. Here, a genetic modification to elevate intracellular c-di-GMP levels and a carbohydrate fingerprinting analysis, were combined for a High-Throughput Screening (HTS) of 330 bacterial strains in search of c-di-GMP activated EPS. Nearly 10% of strains were revealed as promising candidates to overproduce novel EPS composites, in a c-di-GMP dependent manner. In these conditions, Sphingomonas sp. C10 massively produced a EPS with an unusual monosaccharide composition, compared to known biotechnologically relevant sphingans.

microbiology↗

bioRxiv2020

A novel prokaryotic CRISPR-Cas12a based tool for programmable transcriptional activation and repression

Transcriptional perturbation using inactivated CRISPR-nucleases (dCas) is a common method in eukaryotic organisms. While rare examples of dCas9 based tools for prokaryotes have been described, multiplexing approaches are limited due to the used effector nuclease. For the first time, a dCas12a derived tool for the targeted activation and repression of genes was developed. Therefore, a previously described SoxS activator domain was linked to dCas12a to enable programmable activation of gene expression. Proof of principle of transcriptional regulation was demonstrated based on fluorescence reporter assays using the alternative host organism Paenibacillus polymyxa as well as Escherichia coli. Single target and multiplex CRISPR interference targeting the exopolysaccharide biosynthesis of P. polymyxa was shown to emulate polymer compositions of gene knock-outs. Simultaneous expression of 11 gRNAs targeting multiple lactate dehydrogenases and a butanediol dehydrogenase resulted in decreased lactate formation, as well as an increased butanediol production in microaerobic fermentation processes. Even though Cas12a is more restricted in terms of its genomic target sequences compared to Cas9, its ability to efficiently process its own guide RNAs in vivo makes it a promising tool to orchestrate sophisticated genetic reprogramming of bacterial cells or to screen for engineering targets in the genome. The developed tool will accelerate metabolic engineering efforts in the alternative host organism P. polymyxa and might be also applied for other bacterial cell factories.

synthetic biology↗

bioRxiv2019

Identifying and engineering ancient variants of enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP)

Ancestral sequence reconstruction is a technique that is gaining widespread use in molecular evolution studies and protein engineering. Accurate reconstruction requires the ability to handle appropriately large numbers of sequences, as well as insertion and deletion ("indel") events, but available approaches exhibit limitations. To address these limitations, we developed Graphical Representation of Ancestral Sequence Predictions (GRASP), which efficiently implements maximum likelihood methods to enable the inference of ancestors of families with more than 10,000 members. GRASP implements partial order graphs (POGs) to represent and infer insertion and deletion events across ancestors, enabling the identification of building blocks for protein engineering. To validate the capacity to engineer novel proteins from realistic data, we predicted ancestor sequences across three distinct enzyme families: glucose-methanol-choline (GMC) oxidoreductases, cytochromes P450, and dihydroxy/sugar acid dehydratases (DHAD). All tested ancestors demonstrated enzymatic activity. Our study demonstrates the ability of GRASP (1) to support large data sets over 10,000 sequences and (2) to employ insertions and deletions to identify building blocks for engineering biologically active ancestors, by exploring variation over evolutionary time. Author summaryMassive sequencing projects expose the extent of natural, genetic diversity. Here, we describe a method with capacity to perform ancestor sequence reconstruction from data sets in excess of 10,000 sequences, poised to recover ancestral diversity, including the evolutionary events that determine present-time biological function and structure. We introduce a novel strategy for suggesting "indel variants" that are distinct from, but can be explored alongside, substitution variants for creating ancestral libraries. We demonstrate how indels can be used as building blocks to form "hybrid ancestors"; based on this strategy, we synthesise ancestor variants, with varying enzymatic activities, for wide-ranging applications in the biotechnology sector.

bioinformatics↗