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Author

Sybe Hartmans

Other affiliations: University College Cork, DSM
Bio: Sybe Hartmans is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Styrene & Pseudomonas pseudoalcaligenes. The author has an hindex of 33, co-authored 58 publications receiving 3474 citations. Previous affiliations of Sybe Hartmans include University College Cork & DSM.


Papers
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Journal ArticleDOI
TL;DR: Styrene oxide and 2-phenylethanol metabolism in the styrene-degrading Xanthobacter sp.
Abstract: Styrene oxide and 2-phenylethanol metabolism in the styrene-degrading Xanthobacter sp. strain 124X was shown to proceed via phenylacetaldehyde and phenylacetic acid. In cell extracts 2-phenylethanol was oxidized by a phenazine methosulfate-dependent enzyme, probably a pyrroloquinoline quinone enzyme. Xanthobacter sp. strain 124X also contains a novel enzymatic activity designated as styrene oxide isomerase. Styrene oxide isomerase catalyzes the isomerization of styrene oxide to phenylacetaldehyde. The enzyme was partially purified and shown to have a very high substrate specificity. Of the epoxides tested, styrene oxide was the only substrate transformed. The initial step in styrene metabolism in Xanthobacter sp. strain 124X is oxygen dependent and probably involves oxidation of the aromatic nucleus.

346 citations

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TL;DR: A pathway for styrene degradation via styrene oxide and phenylacetaldehyde to phenylacetic acid is proposed.
Abstract: By using styrene as the sole source of carbon and energy in concentrations of 10 to 500 microM, 14 strains of aerobic bacteria and two strains of fungi were isolated from various soil and water samples. In cell extracts of 11 of the bacterial isolates, a novel flavin adenine dinucleotide-requiring styrene monooxygenase activity that oxidized styrene to styrene oxide (phenyl oxirane) was detected. In one bacterial strain (S5), styrene metabolism was studied in more detail. In addition to styrene monooxygenase, cell extracts from strain S5 contained styrene oxide isomerase and phenylacetaldehyde dehydrogenase activities. A pathway for styrene degradation via styrene oxide and phenylacetaldehyde to phenylacetic acid is proposed.

225 citations

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TL;DR: Three additional bacterial strains which utilize vinyl chloride as a sole carbon and energy source were isolated from environments with no known vinyl chloride contamination, including Mycobacterium aurum L1.
Abstract: Mycobacterium aurum L1, capable of growth on vinyl chloride as a sole carbon and energy source, was previously isolated from soil contaminated with vinyl chloride (S. Hartmans et al., Biotechnol. Lett. 7:383-388, 1985). The initial step in vinyl chloride metabolism in strain L1 is catalyzed by alkene monooxygenase, transforming vinyl chloride into the reactive epoxide chlorooxirane. The enzyme responsible for chlorooxirane degradation appeared to be very unstable and thus hampered the characterization of the second step in vinyl chloride metabolism. Dichloroethenes are also oxidized by vinyl chloride-grown cells of strain L1, but they are not utilized as growth substrates. Three additional bacterial strains which utilize vinyl chloride as a sole carbon and energy source were isolated from environments with no known vinyl chloride contamination. The three new isolates were similar to strain L1 and were also identified as Mycobacterium aurum.

218 citations

Journal ArticleDOI
TL;DR: The encoded gene product was expressed in Escherichia coli and showed laccase-like activity, oxidising 2,2′-azino-bis(3-ethylbenz-thiazoline-6-sulfonic acid), 2,6-dimethoxyphenol and syringaldazine, which makes Lbh1 an interesting biocatalyst in applications for which classical laccases are unsuited, such as biobleaching of kraft pulp
Abstract: The gene product of open reading frame bh2082 from Bacillus halodurans C-125 was identified as a multicopper oxidase with potential laccase activity. A homologue of this gene, lbh1, was obtained from a B. halodurans isolate from our culture collection. The encoded gene product was expressed in Escherichia coli and showed laccase-like activity, oxidising 2,2′-azino-bis(3-ethylbenz-thiazoline-6-sulfonic acid), 2,6-dimethoxyphenol and syringaldazine (SGZ). The pH optimum of Lbh1 with SGZ is 7.5–8 (at 45°C) and the laccase activity is stimulated rather than inhibited by chloride. These unusual properties make Lbh1 an interesting biocatalyst in applications for which classical laccases are unsuited, such as biobleaching of kraft pulp for paper production.

172 citations

Journal ArticleDOI
TL;DR: Characterization of an SMO- and styrene oxide isomerase (SOI)-negative transposon mutant of P. putida CA-3 and an SOI-negative N-methyl-N'-nitro-N-nitrosoguanidine Mutant reveals the involvement of both SMO and SOI in indole transformation to indigo.
Abstract: The transformation of indole to indigo by microorganisms expressing styrene monooxygenase (SMO) has been studied. Styrene and indole are structurally very similar, and thus we looked at a variety of styrenedegrading strains for indole transformation to indigo. Two strains, Pseudomonas putida S12 and CA-3, gave a blue color on solid media when grown in the presence of indole. Indole induces its own transformation on solid media but is a poor inducer in liquid media. Styrene is the best inducer of indole transformation in both strains. Arginine represses styrene consumption and indigo formation rates in P. putida S12 compared to phenylacetic acid-grown cells, while the opposite effect is seen for P. putida CA-3. Characterization of an SMOand styrene oxide isomerase (SOI)-negative transposon mutant of P. putida CA-3 and an SOI-negative N-methyl-N*-nitro-N-nitrosoguanidine mutant of P. putida S12 reveals the involvement of both SMO and SOI in indole transformation to indigo. Both strains stoichiometrically produce high-purity indigo from indole.

158 citations


Cited by
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Journal ArticleDOI
TL;DR: In this paper, the authors present general ideas derived from the various reports mentioning toxic effects of lipophilic compounds on the membrane lipid bilayer, affecting the structural and functional properties of these membranes.

2,124 citations

Journal ArticleDOI
TL;DR: Range scaling and autoscaling were able to remove the dependence of the rank of the metabolites on the average concentration and the magnitude of the fold changes and showed biologically sensible results after PCA (principal component analysis).
Abstract: Extracting relevant biological information from large data sets is a major challenge in functional genomics research. Different aspects of the data hamper their biological interpretation. For instance, 5000-fold differences in concentration for different metabolites are present in a metabolomics data set, while these differences are not proportional to the biological relevance of these metabolites. However, data analysis methods are not able to make this distinction. Data pretreatment methods can correct for aspects that hinder the biological interpretation of metabolomics data sets by emphasizing the biological information in the data set and thus improving their biological interpretability. Different data pretreatment methods, i.e. centering, autoscaling, pareto scaling, range scaling, vast scaling, log transformation, and power transformation, were tested on a real-life metabolomics data set. They were found to greatly affect the outcome of the data analysis and thus the rank of the, from a biological point of view, most important metabolites. Furthermore, the stability of the rank, the influence of technical errors on data analysis, and the preference of data analysis methods for selecting highly abundant metabolites were affected by the data pretreatment method used prior to data analysis. Different pretreatment methods emphasize different aspects of the data and each pretreatment method has its own merits and drawbacks. The choice for a pretreatment method depends on the biological question to be answered, the properties of the data set and the data analysis method selected. For the explorative analysis of the validation data set used in this study, autoscaling and range scaling performed better than the other pretreatment methods. That is, range scaling and autoscaling were able to remove the dependence of the rank of the metabolites on the average concentration and the magnitude of the fold changes and showed biologically sensible results after PCA (principal component analysis). In conclusion, selecting a proper data pretreatment method is an essential step in the analysis of metabolomics data and greatly affects the metabolites that are identified to be the most important.

1,987 citations

Journal ArticleDOI
TL;DR: The physiological responses of microorganisms to the presence of hydrocarbons, including cell surface alterations and adaptive mechanisms for uptake and efflux of these substrates, have been characterized and used to investigate the dynamics of microbial communities in petroleum-impacted ecosystems.
Abstract: Recent advances in molecular biology have extended our understanding of the metabolic processes related to microbial transformation of petroleum hydrocarbons. The physiological responses of microorganisms to the presence of hydrocarbons, including cell surface alterations and adaptive mechanisms for uptake and efflux of these substrates, have been characterized. New molecular techniques have enhanced our ability to investigate the dynamics of microbial communities in petroleum-impacted ecosystems. By establishing conditions which maximize rates and extents of microbial growth, hydrocarbon access, and transformation, highly accelerated and bioreactor-based petroleum waste degradation processes have been implemented. Biofilters capable of removing and biodegrading volatile petroleum contaminants in air streams with short substrate-microbe contact times ( 2 S and sulfoxides from petrochemical waste streams. Microbes also have potential for use in removal of nitrogen from crude oil leading to reduced nitric oxide emissions provided that technical problems similar to those experienced in biodesulfurization can be solved. Enzymes are being exploited to produce added-value products from petroleum substrates, and bacterial biosensors are being used to analyze petroleum-contaminated environments.

1,346 citations

Journal ArticleDOI
TL;DR: In this paper, an overview of these technologies for hydrogen production from biomass is presented. And the future development will also be addressed, as well as future development of the future technologies.

1,065 citations