Biology subjects

Siemers, M.

Publications and source records attributed to Siemers, M..

3 recordsLinked to original sources

bioRxiv2024

MftG is crucial for alcohol metabolism of mycobacteria by linking mycofactocin oxidation to respiration

Mycofactocin is a redox cofactor essential for the alcohol metabolism of mycobacteria.. While the biosynthesis of mycofactocin is well established, the gene mftG, which encodes an oxidoreductase of the glucose-methanol-choline superfamily, remained functionally uncharacterized. Here, we show that MftG enzymes are almost exclusively found in genomes containing mycofactocin biosynthetic genes and are present in 75% of organisms harboring these genes. Gene deletion experiments in Mycolicibacterium smegmatis demonstrated a growth defect of the {Delta}mftG mutant on ethanol as a carbon source, accompanied by an arrest of cell division reminiscent of mild starvation. Investigation of carbon and cofactor metabolism implied a defect in mycofactocin reoxidation. Cell-free enzyme assays and respirometry using isolated cell membranes indicated that MftG acts as a mycofactocin dehydrogenase shuttling electrons toward the respiratory chain. Transcriptomics studies also indicated remodeling of redox metabolism to compensate for a shortage of redox equivalents. In conclusion, this work closes an important knowledge gap concerning the mycofactocin system and adds a new pathway to the intricate web of redox reactions governing the metabolism of mycobacteria.

microbiology↗

bioRxiv2023

ChimericFragments: Computation, analysis, and visualization of global RNA networks

RNA-RNA interactions are key for post-transcriptional gene regulation in all domains of life. While ever more experimental protocols are being developed to study RNA-RNA interactions on a genome-wide scale, computational methods to analyze the underlying data are lagging behind. Here, we present ChimericFragments, an analysis and visualization framework for RNA-seq experiments producing chimeric RNA molecules. ChimericFragments implements a novel statistical method based on the complementarity of the base-pairing RNAs around their ligation site and is compatible with several widely used experimental procedures. We demonstrate that ChimericFragments enables the systematic identification of RNA regulators and RNA-RNA pairs and outperforms existing approaches.

bioinformatics↗

bioRxiv2020

A graph-based approach identifies dynamic H-bond communication networks in spike protein S of SARS-CoV-2

Corona virus spike protein S is a large homo-trimeric protein embedded in the membrane of the virion particle. Protein S binds to angiotensin-converting-enzyme 2, ACE2, of the host cell, followed by proteolysis of the spike protein, drastic protein conformational change with exposure of the fusion peptide of the virus, and entry of the virion into the host cell. The structural elements that govern conformational plasticity of the spike protein are largely unknown. Here, we present a methodology that relies upon graph and centrality analyses, augmented by bioinformatics, to identify and characterize large H-bond clusters in protein structures. We apply this methodology to protein S ectodomain and find that, in the closed conformation, the three protomers of protein S bring the same contribution to an extensive central network of H-bonds, has a relatively large H-bond cluster at the receptor binding domain, and a cluster near a protease cleavage site. Markedly different H-bonding at these three clusters in open and pre-fusion conformations suggest dynamic H-bond clusters could facilitate structural plasticity and selection of a protein S protomer for binding to the host receptor, and proteolytic cleavage. From analyses of spike protein sequences we identify patches of histidine and carboxylate groups that could be involved in transient proton binding.

bioinformatics↗