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Sökning: WFRF:(Franks Paul) > Övrigt vetenskapligt/konstnärligt > Naturvetenskap

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1.
  • Krige, Adolf (författare)
  • Sound, Light and Electricity : as applications and analysis techniques to study metabolic effect and biofilm characterization of Geobacter sulfurreducens
  • 2020
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • ElectricityBio-electrochemical systems such as microbial fuel cells (MFCs) and microbial electrolysis cells have shown promise in wastewater treatment, bioremediation, desalination, carbon sequestration and as an alternative, renewable energy source. MFCs produces electricity via anaerobic oxidation of substrates with the subsequent extracellular electron transfer to an electrode. A wide variety of feedstocks have been researched, including various artificial and real wastewater sources as well as lignocellulosic material. Sweet sorghum, has been identified as a possible feedstock for electricity production in MFCs, using an anaerobic sludge inoculum, due to its high sugar content. To study sweet sorghum as an MFC feedstock a standard two chamber H-cell MFC was used, with an anaerobic sludge inoculum (Boden Biogas). A maximum voltage of 546±10 mV was obtained, and a maximum power and current density of 131±8 mW/m2 and 543±29 mA/m2 respectively. The substrate concentrations were monitored during the MFC operation, and the sugars were quickly fermented to volatile fatty acids which were then consumed during electricity generation. The power output was essentially independent of the substrate profile, with little difference between different VFAs. A more direct way was therefore needed to monitor the growth of an MFC biofilm as well as the effect of various substrates on extracellular electron transfer (EET). LightOne option for the direct monitoring of a biofilm is to use Raman spectroscopy to monitor the redox status of the biofilm, since Raman can be used to detect the redox state heme groups. Therefore, resonance Raman spectroscopy was chosen to monitor the cytochrome redox of Geobacter sulfurreducens, is a well know electroactive microorganism commonly found in mixed culture MFCs. G. sulfurreducensis able to produce thick, conductive biofilms as well as high current densities in MFCs. Due to the large variety of cytochromes present in G. sulfurreducens, it has various intricate and adaptable EET pathways, which makes the characterization of the essential EET components difficult. Due to the resonance of the cytochromes found in G. sulfurreducens it is possible to measure the redox state of the biofilm using resonance Raman spectroscopy. This was used for on-line monitoring of various G. sulfurreducens mutants during MFC operation (including the wild type PCA, the ii enhanced KN400 strain capable of higher current densities, and two deficient strains missing key cytochromes involved in the EET, i.e. ΔOmcS and ΔpilA). From this, the applicability of resonance Raman spectroscopy was shown to provide a non-destructive analytical tool for the in-situ monitoring of the oxidation state of proteins responsible for the EET process and the dynamics thereof. Resonance Raman with short integration times was further used, along with a dynamic model, to describe the dynamics of the EET pathways in the wild type as well as in an OmcS deficient strain during a stepped chronoamperometry measurement. This showed a significant difference in EET dynamics between ΔOmcS and the wild type, which was not detectible in the chronoamperometry data alone. The ΔOmcS biofilm showed a linearly decreasing trend in the reduced cytochrome concentration. This was likely caused by the saturation of a limiting mediator, resulting in an oxidation rate that was independent of the mediator concentration. The ΔOmcS biofilms response could, however, be better modelled using an empirical zeroth order model. This analytical method could prove valuable for the establishment of G. sulfurreducens as a chassis microorganism, allowing one to observe the effect of genetic modification on EET mechanisms.Sound Furthermore, to see if an abiotic factor such as sound can affect the functions in bacterial cells, we selected to study the effect of ultrasound on the growth of G. sulfurreducens. G. sulfurreducens is a key candidate for the development of a chassis organism in bioelectrochemical systems, and an external abiotic method of affecting growth or metabolite production could be extremely beneficial. For this, a well-defined sonobioreactor was developed and modelled to study the effect of ultrasound on G. sulfurreducens. This resulted in a significant increase in malate production during the exponential phase of planktonic growth (11 mmol when sonicated vs the 5 mmol control). Transcriptomics was then used to determine the reason for the observed increase. Although there was a large variance in the samples, this was possibly linked to the overexpression of glycosyltransferases, which are known to play a role in membrane stability and bind malate. Finally, a low-cost modification, which modifies a standard 3D printer into a bio-printer was developed to print artificial biofilms for bio-electrochemical systems. This was then used to print an artificial biofilm of G. sulfurreducens, significantly reducing the time required to produce an established biofilm
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2.
  • Agudelo, Leandro Z., et al. (författare)
  • Metabolic resilience is encoded in genome plasticity
  • 2021
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Metabolism plays a central role in evolution, as resource conservation is a selective pressure for fitness and survival.Resource-driven adaptations offer a good model to study evolutionary innovation more broadly. It remains unknown howresource-driven optimization of genome function integrates chromatin architecture with transcriptional phase transitions.Here we show that tuning of genome architecture and heterotypic transcriptional condensates mediate resilience tonutrient limitation. Network genomic integration of phenotypic, structural, and functional relationships reveals that fattissue promotes organismal adaptations through metabolic acceleration chromatin domains and heterotypic PGC1Acondensates. We find evolutionary adaptations in several dimensions; low conservation of amino acid residues withinprotein disorder regions, nonrandom chromatin location of metabolic acceleration domains, condensate-chromatin stabilitythrough cis-regulatory anchoring and encoding of genome plasticity in radial chromatin organization. We show thatenvironmental tuning of these adaptations leads to fasting endurance, through efficient nuclear compartmentalization oflipid metabolic regions, and, locally, human-specific burst kinetics of lipid cycling genes. This process reduces oxidativestress, and fatty-acid mediated cellular acidification, enabling endurance of condensate chromatin conformations.Comparative genomics of genetic and diet perturbations reveal mammalian convergence of phenotype and structuralrelationships, along with loss of transcriptional control by diet-induced obesity. Further, we find that radial transcriptionalorganization is encoded in functional divergence of metabolic disease variant-hubs, heterotypic condensate composition,and protein residues sensing metabolic variation. During fuel restriction, these features license the formation of largeheterotypic condensates that buffer proton excess, and shift viscoelasticity for condensate endurance. This mechanismmaintains physiological pH, reduces pH-resilient inflammatory gene programs, and enables genome plasticity throughtranscriptionally driven cell-specific chromatin contacts. In vivo manipulation of this circuit promotes fasting-likeadaptations with heterotypic nuclear compartments, metabolic and cell-specific homeostasis. In sum, we uncover here ageneral principle by which transcription uses environmental fluctuations for genome function, and demonstrate howresource conservation optimizes transcriptional self-organization through robust feedback integrators, highlighting obesityas an inhibitor of genome plasticity relevant for many diseases.
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3.
  • Chikowore, Tinashe, et al. (författare)
  • GWAS transethnic meta-analysis of BMI in similar to 700k individuals reveals novel gene-smoking interaction in African populations
  • 2020
  • Ingår i: Genetic Epidemiology. - : John Wiley & Sons. - 0741-0395 .- 1098-2272. ; 44:5, s. 475-476
  • Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
    • Sixty two percent of the 1.12 billion obese people globally reside in low‐middle income countries, 77% of which are in Africa. There is paucity of data on gene‐lifestyle interactions associated with the increasing prevalence of obesity among Africans. We hypothesised that gene‐environment interacting (GEI) variants exhibit heterogenous effects on obesity in transethnic meta‐analysis of marginal SNP associations as a result of modification by an unknown exposure that varies across populations.Body mass index (BMI) genome‐wide association study (GWAS) summary statistics for 678,671 individuals representative of the major global ancestries were aggregated at 21,338,816 SNPs via fixed‐effects meta‐analysis. Lead SNPs attaining genome‐wide significance (P  < 5 × 10−8) were tested for heterogeneity in effects between GWAS. Lead SNPs with significant evidence of heterogeneity after Bonferroni correction were then selected for interaction analysis with selected lifestyle factors in an independent AWI‐Gen study of 10,500 African participants. Significant interaction findings were then replicated in 3,177 individuals of African ancestry in the UK Biobank.Of 881 lead SNPs, five had significant heterogenous effects on BMI (P  < 5.7 × 10−5). Rs471094, at the CDKAL1 locus had significant interaction with smoking status, which reduced the effect of the BMI raising allele in current smokers (Betaint = −0.949 kg/m2; P int = .002) compared with non‐smokers in AWI‐Gen. This finding was validated in the UK Biobank (Betaint = −1.471 kg/m2, P int = .020; meta‐analysis Betaint = −1.050 kg/m2, P int = .0002). Our results highlight the first gene‐lifestyle interaction on BMI in Africans and demonstrate the utility of transethnic meta‐analysis of GWAS for identifying GEI effects.
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