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Wibberg, D.

Publications and source records attributed to Wibberg, D..

4 recordsLinked to original sources

Tracing active bugs in microbial communities by BONCAT and click chemistry-based enrichment of newly synthesised proteins

A comprehensive understanding of microbial community dynamics is fundamental to the advancement of environmental microbiology, human health, and biotechnology. Metaproteomics, i.e. the analysis of all proteins in a microbial community, provides insights into these complex systems. Microbial adaptation and activity depend to an important extent on newly synthesized proteins (nP), however, the distinction between nP and bulk proteins is challenging. The application of bioorthogonal non-canonical amino acid tagging (BONCAT) with click chemistry has demonstrated efficacy in the enrichment of nP in pure cultures. However, the transfer of this technique to microbial communities has proven challenging and has therefore not been used on microbial communities before. To address this, a new workflow with efficient and specific nP enrichment was developed using a laboratory-scale mixture of labelled E. coli and unlabelled yeast. This workflow was successfully applied to an anaerobic microbial community with initially low BONCAT efficiency. A substrate shift from glucose to ethanol selectively enriched nP with minimal background. The identification of bifunctional alcohol dehydrogenase and a syntrophic interaction between an ethanol-utilizing bacterium and two methanogens (hydrogenotrophic and acetoclastic) demonstrates the potential of metaproteomics targeting nP to trace microbial activity in complex microbial communities.

microbiology↗

Gene losses resulting in specialized metabolism in the earliest divergent symbiotic Frankia clade can be linked to its low saprotrophic capabilities

Frankia cluster-2 are diazotrophs that engage in root nodule symbiosis with host plants of the Cucurbitales and the Rosales. They are rarely found in the soil in the absence of their hosts. Previous studies have shown that an assimilated nitrogen source, presumable arginine, is exported to the host in nodules of Datisca glomerata (Cucurbitales), but not in the nodules of Ceanothus thyrsiflorus (Rosales). To investigate if an assimilated nitrogen form is commonly exported by cluster-2 strains, and which nitrogen source would then be exported to C. thyrsiflorus, gene expression levels, metabolite profiles and enzyme activities were analysed. We found that the export of assimilated nitrogen in symbiosis is a common feature for Frankia cluster-2 strains, but which source is host-plant dependent. We also identified several gene losses. The ammonium assimilation via the GS/GOGAT cycle for export to the host, entails a high demand of 2-oxoglutarate from the TCA cycle. This specialised metabolism seems to have led to genome reduction: we show that Frankia cluster-2 strains have lost the glyoxylate shunt and succinate semialdehyde dehydrogenase, leading to a linearization of the TCA cycle. This could explain the low saprotrophic potential of Frankia cluster-2.

plant biology↗

A Genome-Scale Metabolic Model for the Smut-Fungus Ustilago maydis

Ustilago maydis is an important plant pathogen causing corn-smut disease and an effective biotechnological production host. The lack of a comprehensive metabolic overview hinders a full understanding of environmental adaptation and a full use of the organisms metabolic potential. Here, we report the first genome scale metabolic model (GSMM) of Ustilago maydis (iUma22) for the simulation of metabolic activities. iUma22 was reconstructed from sequencing and annotation using PathwayTools, the biomass equation was derived from literature values and from the codon composition. The final model contains over 25% of annotated genes in the sequenced genome. Substrate utilization was corrected by Biolog-Phenotype arrays and exponential batch cultivations were used to test growth predictions. A pan-genome of four different U. maydis strains revealed missing metabolic pathways in iUma22. The majority of metabolic differences between iUma22 and the pangenome occurs in the inositol, purine and starch metabolic pathways. The new model allows studies of metabolic adaptations to different environmental niches as well as for biotechnological applications.

systems biology↗

The ‘zoo’ accompanying Botryococcus braunii: Unraveling the fundamentals of algae-bacteria biocoenosis

Bacteria occupy all major ecosystems and maintain an intensive relationship to the eukaryotes, developing together into complex biomes (i.e., phycosphere and rhizosphere). Interactions between eukaryotes and bacteria range from cooperative to competitive, with the associated microorganisms affecting their hosts development, growth, health and disease. Since the advent of non-culture dependent analytical techniques such as metagenome sequencing, consortia have been described but owing to the complex interactions rarely functionally dissected. Multifaceted analysis of the microbial consortium of the ancient phytoplankton Botryococcus as an attractive model food web revealed that its all abundant bacterial members belong to a distinct niche of biotin auxotrophs, essentially depending on the microalga. In addition, hydrocarbonoclastic bacteria without vitamin auxotrophies, which adversely affect the algal cell morphology, appear evidently decimated. Synthetic rearrangement of a minimal community consisting of alga, mutualistic and parasitic bacteria underpins the model of a eukaryote that domesticates its own mutualistic bacterial "zoo" to manipulate and control its surrounding biosphere. This model of domestication of mutualistic bacteria for the defense against destruents by a eukaryotic host could represent ecologically relevant interactions that cross species boundaries. Metabolic and system reconstruction disentangles the relationships and provide a blueprint for the construction of mutually beneficial synthetic ecosystems.

microbiology↗