References of "Wilmes, Paul 50003335"
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See detailDeep neural networks outperform human expert's capacity in characterizing bioleaching bacterial biofilm composition
Buetti-Dinh, Antoine; Galli, Vanni; Bellenberg, Sören et al

in Biotechnology Reports (2019)

Background Deep neural networks have been successfully applied to diverse fields of computer vision. However, they only outperform human capacities in a few cases. Methods The ability of deep neural ... [more ▼]

Background Deep neural networks have been successfully applied to diverse fields of computer vision. However, they only outperform human capacities in a few cases. Methods The ability of deep neural networks versus human experts to classify microscopy images was tested on biofilm colonization patterns formed on sulfide minerals composed of up to three different bioleaching bacterial species attached to chalcopyrite sample particles. Results A low number of microscopy images per category (<600) was sufficient for highly efficient computational analysis of the biofilm's bacterial composition. The use of deep neural networks reached an accuracy of classification of ∼90% compared to ∼50% for human experts. Conclusions Deep neural networks outperform human experts’ capacity in characterizing bacterial biofilm composition involved in the degradation of chalcopyrite. This approach provides an alternative to standard, time-consuming biochemical methods. [less ▲]

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See detailSystems ecology of microbiomes
Wilmes, Paul UL

Scientific Conference (2018, December)

Detailed reference viewed: 29 (9 UL)
See detailMicrobiome: the environment within
Wilmes, Paul UL

Scientific Conference (2018, December)

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See detailSystems ecology of the human microbiome
Wilmes, Paul UL

Scientific Conference (2018, November)

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See detailThe ecology of the unseen
Wilmes, Paul UL

Scientific Conference (2018, October)

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See detailUnderstanding the role of the microbiome in Parkinson’s disease
Wilmes, Paul UL

Scientific Conference (2018, October)

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See detailLe microbiote humain et son impacte sur la santé
Wilmes, Paul UL

Scientific Conference (2018, October)

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See detailA multi-omic view of invasive genetic elements and their linked prokaryotic population dynamics within a mixed microbial community
Martinez Arbas, Susana UL; Narayanasamy, Shaman; Herold, Malte et al

Poster (2018, September 11)

Detailed reference viewed: 25 (3 UL)
See detailMicrobial Systems Ecology for identifying key functions driving host-microbiome-diet interactions
Wilmes, Paul UL

Scientific Conference (2018, September)

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See detailUnraveling the combinatorial mechanisms linking the gut microbiome to Parkinson’s disease
Wilmes, Paul UL

Scientific Conference (2018, September)

Detailed reference viewed: 2 (1 UL)
See detailThe integration of quantitative big data from microbial consortia: what is there to gain?
Wilmes, Paul UL

Scientific Conference (2018, August)

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See detailSystems Ecology of microbiomes: identifying key functions
Wilmes, Paul UL

Scientific Conference (2018, August)

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See detailIntegrated time-resolved multi-omics for understanding microbial niche ecology
Herold, Malte UL; Narayanasamy, Shaman UL; Martinez Arbas, Susana UL et al

Poster (2018, August)

Microbial communities are strongly shaped by the niche breadths of their constituent populations. However, a detailed understanding of microbial niche ecology is typically lacking. Integrated multi-omic ... [more ▼]

Microbial communities are strongly shaped by the niche breadths of their constituent populations. However, a detailed understanding of microbial niche ecology is typically lacking. Integrated multi-omic analyses of host- or environment-derived samples offer the prospect of resolving fundamental and realised niches in situ. In turn, this is considered a prerequisite for niche engineering in order to drive an individual population or a community towards a specific phenotype, e.g., improvement of a biotechnological process. Here, we sampled floating islets on the surface of an activated sludge tank in a time-series spanning 51 time-points over 14 months. Multi-omics datasets (metagenomics, metatranscriptomics, metaproteomics, and (meta-)metabolomics) were generated for all time-points. Leveraging nucleotide sequencing data, we analyzed the community structure and reconstructed genomes for specific populations of interest. Moreover, based on their metabolic potential, three major groups emerged, serving as proxies for their respective fundamental niches . Time-resolved linkage of the proteomic and transcriptomic data to the reconstructed genomes revealed a fine-grained picture of niche realization. In particular, environmental factors (temperature, metabolites, oxygen) were significantly associated with gene expression of individual populations. Furthermore, we subjected the community to controlled oxygen conditions (stable or dynamic) in a bioreactor experiment and measured the transcriptomic response. Our results suggest short-term adaptations of populations of interest with respect to lipid metabolism, among other pathways. In conclusion, our work demonstrates how longitudinal multi-omic datasets can be integrated in order to further our understanding of microbial niche ecology within a biotechnological process with potential applications beyond waste water treatment. [less ▲]

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See detailThe RNA Complement of Outer Membrane Vesicles From Salmonella enterica Serovar Typhimurium Under Distinct Culture Conditions
Malabirade, Antoine UL; Habier, Janine UL; Heintz-Buschart, Anna et al

in Frontiers in Microbiology (2018), 9

Bacterial outer membrane vesicles (OMVs), as well as OMV-associated small RNAs, have been demonstrated to play a role in host–pathogen interactions. The presence of larger RNA transcripts in OMVs has been ... [more ▼]

Bacterial outer membrane vesicles (OMVs), as well as OMV-associated small RNAs, have been demonstrated to play a role in host–pathogen interactions. The presence of larger RNA transcripts in OMVs has been less studied and their potential role in host–pathogen interactions remains largely unknown. Here we analyze RNA from OMVs secreted by Salmonella enterica serovar Typhimurium (S. Typhimurium) cultured under different conditions, which mimic host–pathogen interactions. S. Typhimurium was grown to exponential and stationary growth phases in minimal growth control medium (phosphate-carbon-nitrogen, PCN), as well as in acidic and phosphate-depleted PCN, comparable to the macrophage environment and inducing therefore the expression of Salmonella pathogenicity island 2 (SPI-2) genes. Moreover, Salmonella pathogenicity island 1 (SPI-1), which is required for virulence during the intestinal phase of infection, was induced by culturing S. Typhimurium to the stationary phase in Lysogeny Broth (LB). For each condition, we identified OMV-associated RNAs that are enriched in the extracellular environment relative to the intracellular space. All RNA classes could be observed, but a vast majority of rRNA was exported in all conditions in variable proportions with a notable decrease in LB SPI-1 inducing media. Several mRNAs and ncRNAs were specifically enriched in/on OMVs dependent on the growth conditions. Important to note is that some RNAs showed identical read coverage profiles intracellularly and extracellularly, whereas distinct coverage patterns were observed for other transcripts, suggesting a specific processing or degradation. Moreover, PCR experiments confirmed that distinct RNAs were present in or on OMVs as full-length transcripts (IsrB-1/2; IsrA; ffs; SsrS; CsrC; pSLT035; 10Sa; rnpB; STM0277; sseB; STM0972; STM2606), whereas others seemed to be rather present in a processed or degraded form. Finally, we show by a digestion protection assay that OMVs are able to prevent enzymatic degradation of given full-length transcripts (SsrS, CsrC, 10Sa, and rnpB). In summary, we show that OMV-associated RNA is clearly different in distinct culture conditions and that at least a fraction of the extracellular RNA is associated as a full-length transcripts with OMVs, indicating that some RNAs are protected by OMVs and thereby leaving open the possibility that those might be functionally active. [less ▲]

Detailed reference viewed: 40 (7 UL)
See detailThe human microbiome: a systems ecology perspective
Wilmes, Paul UL

Scientific Conference (2018, June)

Detailed reference viewed: 4 (0 UL)