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Liebal UW, Ullmann L, Lieven C, Kohl P, Wibberg D, Zambanini T, Blank LM. Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model. J Fungi (Basel) 2022; 8:jof8050524. [PMID: 35628779 PMCID: PMC9147497 DOI: 10.3390/jof8050524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/16/2022] [Accepted: 05/17/2022] [Indexed: 11/16/2022] Open
Abstract
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.
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Affiliation(s)
- Ulf W. Liebal
- iAMB-Institute of Applied Microbiology, ABBt, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany; (L.U.); (P.K.); (T.Z.)
- Correspondence: (U.W.L.); (L.M.B.)
| | - Lena Ullmann
- iAMB-Institute of Applied Microbiology, ABBt, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany; (L.U.); (P.K.); (T.Z.)
| | - Christian Lieven
- Unseen Biometrics ApS, DK-2800 Kgs. Lyngby, Denmark;
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
| | - Philipp Kohl
- iAMB-Institute of Applied Microbiology, ABBt, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany; (L.U.); (P.K.); (T.Z.)
| | - Daniel Wibberg
- Genome Research of Industrial Microorganisms, CeBiTec, Bielefeld University, 33501 Bielefeld, Germany;
| | - Thiemo Zambanini
- iAMB-Institute of Applied Microbiology, ABBt, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany; (L.U.); (P.K.); (T.Z.)
| | - Lars M. Blank
- iAMB-Institute of Applied Microbiology, ABBt, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany; (L.U.); (P.K.); (T.Z.)
- Correspondence: (U.W.L.); (L.M.B.)
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Christie N, Myburg AA, Joubert F, Murray SL, Carstens M, Lin YC, Meyer J, Crampton BG, Christensen SA, Ntuli JF, Wighard SS, Van de Peer Y, Berger DK. Systems genetics reveals a transcriptional network associated with susceptibility in the maize-grey leaf spot pathosystem. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2017; 89:746-763. [PMID: 27862526 DOI: 10.1111/tpj.13419] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2016] [Revised: 10/20/2016] [Accepted: 11/04/2016] [Indexed: 05/20/2023]
Abstract
We used a systems genetics approach to elucidate the molecular mechanisms of the responses of maize to grey leaf spot (GLS) disease caused by Cercospora zeina, a threat to maize production globally. Expression analysis of earleaf samples in a subtropical maize recombinant inbred line population (CML444 × SC Malawi) subjected in the field to C. zeina infection allowed detection of 20 206 expression quantitative trait loci (eQTLs). Four trans-eQTL hotspots coincided with GLS disease QTLs mapped in the same field experiment. Co-expression network analysis identified three expression modules correlated with GLS disease scores. The module (GY-s) most highly correlated with susceptibility (r = 0.71; 179 genes) was enriched for the glyoxylate pathway, lipid metabolism, diterpenoid biosynthesis and responses to pathogen molecules such as chitin. The GY-s module was enriched for genes with trans-eQTLs in hotspots on chromosomes 9 and 10, which also coincided with phenotypic QTLs for susceptibility to GLS. This transcriptional network has significant overlap with the GLS susceptibility response of maize line B73, and may reflect pathogen manipulation for nutrient acquisition and/or unsuccessful defence responses, such as kauralexin production by the diterpenoid biosynthesis pathway. The co-expression module that correlated best with resistance (TQ-r; 1498 genes) was enriched for genes with trans-eQTLs in hotspots coinciding with GLS resistance QTLs on chromosome 9. Jasmonate responses were implicated in resistance to GLS through co-expression of COI1 and enrichment of genes with the Gene Ontology term 'cullin-RING ubiquitin ligase complex' in the TQ-r module. Consistent with this, JAZ repressor expression was highly correlated with the severity of GLS disease in the GY-s susceptibility network.
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Affiliation(s)
- Nanette Christie
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), Genomics Research Institute (GRI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
- Centre for Bioinformatics and Computational Biology, Genomics Research Institute, Department of Biochemistry, University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
| | - Alexander A Myburg
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), Genomics Research Institute (GRI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
| | - Fourie Joubert
- Centre for Bioinformatics and Computational Biology, Genomics Research Institute, Department of Biochemistry, University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
| | - Shane L Murray
- Centre for Proteomic and Genomic Research, 0A Anzio Rd, Observatory, Cape Town, 7925, South Africa
- Department of Molecular and Cell Biology, University of Cape Town, Private Bag, Rondebosch, 7701, South Africa
| | - Maryke Carstens
- Department of Plant and Soil Sciences, Forestry and Agricultural Biotechnology Institute (FABI), Genomics Research Institute (GRI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
| | - Yao-Cheng Lin
- Department of Plant Systems Biology, VIB, Ghent University, Technologiepark 927, 9052, Ghent, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 927, 9052, Ghent, Belgium
| | - Jacqueline Meyer
- Centre for Proteomic and Genomic Research, 0A Anzio Rd, Observatory, Cape Town, 7925, South Africa
- Department of Plant and Soil Sciences, Forestry and Agricultural Biotechnology Institute (FABI), Genomics Research Institute (GRI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
| | - Bridget G Crampton
- Department of Plant and Soil Sciences, Forestry and Agricultural Biotechnology Institute (FABI), Genomics Research Institute (GRI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
| | - Shawn A Christensen
- Center for Medical, Agricultural, and Veterinary Entomology, United States Department of Agriculture, Agricultural Research Service, Chemistry Research Unit, Gainesville, FL, 32608, USA
| | - Jean F Ntuli
- Department of Molecular and Cell Biology, University of Cape Town, Private Bag, Rondebosch, 7701, South Africa
| | - Sara S Wighard
- Department of Molecular and Cell Biology, University of Cape Town, Private Bag, Rondebosch, 7701, South Africa
| | - Yves Van de Peer
- Department of Plant Systems Biology, VIB, Ghent University, Technologiepark 927, 9052, Ghent, Belgium
- Department of Plant Biotechnology and Bioinformatics, Ghent University, Technologiepark 927, 9052, Ghent, Belgium
- Department of Genetics, Genomics Research Institute, University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
| | - Dave K Berger
- Department of Plant and Soil Sciences, Forestry and Agricultural Biotechnology Institute (FABI), Genomics Research Institute (GRI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa
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Hinkle KL, Anderson CC, Forkey B, Griffin J, Cone K, Vitzthum C, Olsen D. Exposure to the lampricide 3-trifluoromethyl-4-nitrophenol results in increased expression of carbohydrate transporters in Saccharomyces cerevisiae. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2016; 35:1727-1732. [PMID: 26606276 PMCID: PMC5076018 DOI: 10.1002/etc.3314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Revised: 09/10/2015] [Accepted: 11/24/2015] [Indexed: 06/05/2023]
Abstract
The lampricide 3-trifluoromethyl-4-nitrophenol (TFM) is used to control sea lamprey (Petromyzon marinus) populations in freshwater lakes. Although TFM can have sublethal and lethal effects, little is known about gene expression changes with TFM exposure. Microarray analysis was used to determine differential gene expression over 4 h of exposure in Saccharomyces cerevisiae. Among the most significantly up-regulated genes were regulators of carbohydrate transport, including HXT1, HXT3, HXT4, IMA5, MIG2, and YKR075C. Environ Toxicol Chem 2016;35:1727-1732. © 2015 SETAC.
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Affiliation(s)
- Karen L. Hinkle
- Department of Biology and Physical Education, Norwich University, Northfield, VT USA
| | - Chad C. Anderson
- Department of Biology and Physical Education, Norwich University, Northfield, VT USA
| | - Blake Forkey
- Department of Biology and Physical Education, Norwich University, Northfield, VT USA
| | - Jacob Griffin
- Department of Biology and Physical Education, Norwich University, Northfield, VT USA
- Department of Mathematics, Norwich University, Northfield, VT USA
| | - Kelsey Cone
- Department of Biology and Physical Education, Norwich University, Northfield, VT USA
| | - Carl Vitzthum
- Department of Biology and Physical Education, Norwich University, Northfield, VT USA
| | - Darlene Olsen
- Department of Mathematics, Norwich University, Northfield, VT USA
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Van der Nest MA, Steenkamp ET, McTaggart AR, Trollip C, Godlonton T, Sauerman E, Roodt D, Naidoo K, Coetzee MPA, Wilken PM, Wingfield MJ, Wingfield BD. Saprophytic and pathogenic fungi in the Ceratocystidaceae differ in their ability to metabolize plant-derived sucrose. BMC Evol Biol 2015; 15:273. [PMID: 26643441 PMCID: PMC4672557 DOI: 10.1186/s12862-015-0550-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 11/25/2015] [Indexed: 11/25/2022] Open
Abstract
Background Proteins in the Glycoside Hydrolase family 32 (GH32) are carbohydrate-active enzymes known as invertases that hydrolyse the glycosidic bonds of complex saccharides. Fungi rely on these enzymes to gain access to and utilize plant-derived sucrose. In fungi, GH32 invertase genes are found in higher copy numbers in the genomes of pathogens when compared to closely related saprophytes, suggesting an association between invertases and ecological strategy. The aim of this study was to investigate the distribution and evolution of GH32 invertases in the Ceratocystidaceae using a comparative genomics approach. This fungal family provides an interesting model to study the evolution of these genes, because it includes economically important pathogenic species such as Ceratocystis fimbriata, C. manginecans and C. albifundus, as well as saprophytic species such as Huntiella moniliformis, H. omanensis and H. savannae. Results The publicly available Ceratocystidaceae genome sequences, as well as the H. savannae genome sequenced here, allowed for the identification of novel GH32-like sequences. The de novo assembly of the H. savannae draft genome consisted of 28.54 megabases that coded for 7 687 putative genes of which one represented a GH32 family member. The number of GH32 gene family members appeared to be related to the ecological adaptations of these fungi. The pathogenic Ceratocystis species all contained two GH32 family genes (a putative cell wall and a putative vacuolar invertase), while the saprophytic Huntiella species had only one of these genes (a putative cell wall invertase). Further analysis showed that the evolution of the GH32 gene family in the Ceratocystidaceae involved transposable element-based retro-transposition and translocation. As an example, the activity of a Fot5-like element likely facilitated the assembly of the genomic regions harbouring the GH32 family genes in Ceratocystis. Conclusions This study provides insight into the evolutionary history of the GH32 gene family in Ceratocystidaceae. Our findings suggest that transposable elements shaped the evolution of the GH32 gene family, which in turn determines the sucrolytic activities and related ecological strategies of the Ceratocystidaceae species that harbour them. The study also provides insights into the role of carbohydrate-active enzymes in plant-fungal interactions and adds to our understanding of the evolution of these enzymes and their role in the life style of these fungi. Electronic supplementary material The online version of this article (doi:10.1186/s12862-015-0550-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- M A Van der Nest
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - E T Steenkamp
- Department of Microbiology and Plant Pathology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - A R McTaggart
- Department of Microbiology and Plant Pathology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - C Trollip
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - T Godlonton
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - E Sauerman
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - D Roodt
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - K Naidoo
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - M P A Coetzee
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - P M Wilken
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - M J Wingfield
- Department of Microbiology and Plant Pathology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
| | - B D Wingfield
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Private Bag X20, Pretoria, 0028, South Africa.
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