Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model
Liebal UW, Ullmann L, Lieven C, Kohl P, Wibberg D, Zambanini T, Blank LM (2022)
Journal of Fungi 8(5): 524.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
Download
jof-08-00524.pdf
1.56 MB
Autor*in
Liebal, Ulf W.;
Ullmann, Lena;
Lieven, Christian;
Kohl, Philipp;
Wibberg, DanielUniBi;
Zambanini, Thiemo;
Blank, Lars M.
Einrichtung
Abstract / Bemerkung
Ustilago maydis is an important plant pathogen that causes corn smut disease and serves as an effective biotechnological production host. The lack of a comprehensive metabolic overview hinders a full understanding of the organism's environmental adaptation and a full use of its 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, and the biomass equation was derived from literature values and from the codon composition. The final model contains over 25% annotated genes (6909) in the sequenced genome. Substrate utilization was corrected by BIOLOG phenotype arrays, and exponential batch cultivations were used to test growth predictions. The growth data revealed a decrease in glucose uptake rate with rising glucose concentration. A pangenome of four different U. maydis strains highlighted missing metabolic pathways in iUma22. The new model allows for studies of metabolic adaptations to different environmental niches as well as for biotechnological applications.
Erscheinungsjahr
2022
Zeitschriftentitel
Journal of Fungi
Band
8
Ausgabe
5
Art.-Nr.
524
Urheberrecht / Lizenzen
eISSN
2309-608X
Page URI
https://pub.uni-bielefeld.de/record/2963695
Zitieren
Liebal UW, Ullmann L, Lieven C, et al. Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model. Journal of Fungi . 2022;8(5): 524.
Liebal, U. W., Ullmann, L., Lieven, C., Kohl, P., Wibberg, D., Zambanini, T., & Blank, L. M. (2022). Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model. Journal of Fungi , 8(5), 524. https://doi.org/10.3390/jof8050524
Liebal, Ulf W., Ullmann, Lena, Lieven, Christian, Kohl, Philipp, Wibberg, Daniel, Zambanini, Thiemo, and Blank, Lars M. 2022. “Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model”. Journal of Fungi 8 (5): 524.
Liebal, U. W., Ullmann, L., Lieven, C., Kohl, P., Wibberg, D., Zambanini, T., and Blank, L. M. (2022). Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model. Journal of Fungi 8:524.
Liebal, U.W., et al., 2022. Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model. Journal of Fungi , 8(5): 524.
U.W. Liebal, et al., “Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model”, Journal of Fungi , vol. 8, 2022, : 524.
Liebal, U.W., Ullmann, L., Lieven, C., Kohl, P., Wibberg, D., Zambanini, T., Blank, L.M.: Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model. Journal of Fungi . 8, : 524 (2022).
Liebal, Ulf W., Ullmann, Lena, Lieven, Christian, Kohl, Philipp, Wibberg, Daniel, Zambanini, Thiemo, and Blank, Lars M. “Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model”. Journal of Fungi 8.5 (2022): 524.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Name
jof-08-00524.pdf
1.56 MB
Access Level
Open Access
Zuletzt Hochgeladen
2022-07-06T10:18:23Z
MD5 Prüfsumme
b3b455a66a9cfe83bd85b81d777a98f3
Link(s) zu Volltext(en)
Access Level
Open Access
Daten bereitgestellt von European Bioinformatics Institute (EBI)
Zitationen in Europe PMC
Daten bereitgestellt von Europe PubMed Central.
References
Daten bereitgestellt von Europe PubMed Central.
Export
Markieren/ Markierung löschen
Markierte Publikationen
Web of Science
Dieser Datensatz im Web of Science®Quellen
PMID: 35628779
PubMed | Europe PMC
Suchen in