1
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Zeng F, Liu Y, Liu D, Li Y, Xu W, Li Y, Zhang H, Liu Y, Wang H, Lu F. Enhancing alkaline protease production in Bacillus amyloliquefaciens via surfactin-mediated mechanisms and metabolic engineering. BIORESOURCE TECHNOLOGY 2025; 433:132702. [PMID: 40398566 DOI: 10.1016/j.biortech.2025.132702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2025] [Revised: 05/05/2025] [Accepted: 05/18/2025] [Indexed: 05/23/2025]
Abstract
Bacillus amyloliquefaciens exhibits significant efficacy in the production of alkaline protease. Identifying the factors that trigger alkaline protease overproduction during the fermentation process provides valuable insights for enhancing the performance of alkaline protease-producing strains. Transcriptomic analysis revealed that quorum sensing (QS) plays a crucial role in regulating alkaline protease production. Fermentation experiments demonstrated that the addition of exogenous surfactin, a key QS signaling molecule, enhanced alkaline protease production. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis indicated that the positive effects of surfactin are associated with carbon catabolite repression (CCR), QS, and the regulation of global nitrogen metabolism. Based on these findings, rational genetic modifications, including the deletion of the rapF and kinC genes, were performed, led to a 91.1 % increase in alkaline protease production and a 15 h reduction in fermentation time. This study not only provides insights into the molecular mechanisms of surfactin-mediated alkaline protease overproduction but also offers valuable strategies for improving the industrial performance of alkaline protease-producing strains.
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Affiliation(s)
- Fang Zeng
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Yujuan Liu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Dunzhi Liu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Yuqiang Li
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Weizhou Xu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Yu Li
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Huitu Zhang
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Yihan Liu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China
| | - Hongbin Wang
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China.
| | - Fuping Lu
- Key Laboratory of Industrial Fermentation Microbiology, Ministry of Education, Tianjin Key Laboratory of Industrial Microbiology, Tianjin 300457, PR China; College of Biotechnology, Tianjin University of Science and Technology, Tianjin 300457, PR China.
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2
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Georis I, Ronsmans A, Vierendeels F, Dubois E. Differing SAGA module requirements for NCR-sensitive gene transcription in yeast. Yeast 2024; 41:207-221. [PMID: 37357465 DOI: 10.1002/yea.3885] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 04/24/2023] [Accepted: 05/25/2023] [Indexed: 06/27/2023] Open
Abstract
Nitrogen catabolite repression (NCR) is a means for yeast to adapt its transcriptome to changing nitrogen sources in its environment. In conditions of derepression (under poor nitrogen conditions, upon rapamycin treatment, or when glutamine production is inhibited), two transcriptional activators of the GATA family are recruited to NCR-sensitive promoters and activate transcription of NCR-sensitive genes. Earlier observations have involved the Spt-Ada-Gcn5 acetyltransferase (SAGA) chromatin remodeling complex in these transcriptional regulations. In this report, we provide an illustration of the varying NCR-sensitive responses and question whether differing SAGA recruitment could explain this diversity of responses.
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Affiliation(s)
| | | | | | - Evelyne Dubois
- Labiris, Brussels, Belgium
- Université Libre de Bruxelles, Brussels, Belgium
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3
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Schoonover MG, Chilson EC, Strome ED. Heterozygous Mutations in Aromatic Amino Acid Synthesis Genes Trigger TOR Pathway Activation in Saccharomyces cerevisiae.. MICROPUBLICATION BIOLOGY 2022; 2022:10.17912/micropub.biology.000685. [PMID: 36468155 PMCID: PMC9713580 DOI: 10.17912/micropub.biology.000685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/02/2022] [Accepted: 11/15/2022] [Indexed: 01/25/2023]
Abstract
The highly conserved complexes of Target of Rapamycin (TORC1 and TORC2) are central regulators to many vital cellular processes including growth and autophagy in response to nutrient availability. Previous research has extensively elucidated exogenous nutrient control on TORC1/TORC2; however, little is known about the potential alteration of nutrient pools from mutations in biosynthesis pathways and their impact on Tor pathway activity. Here, we analyze the impacts of heterozygous mutations in aromatic amino acid biosynthesis genes on TOR signaling via differential expression of genes downstream of TORC1 and autophagy induction for TORC1 and TORC2 activity.
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4
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Isabelle G, Mohammad FK, Evi Z, Fabienne V, Martine R, Evelyne D. Glutamine transport as a possible regulator of nitrogen catabolite repression in Saccharomyces cerevisiae. Yeast 2022; 39:493-507. [PMID: 35942513 DOI: 10.1002/yea.3809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 07/19/2022] [Accepted: 08/03/2022] [Indexed: 11/08/2022] Open
Abstract
Nitrogen Catabolite Repression (NCR) is a major transcriptional control pathway governing nitrogen use in yeast, with several hundred of target genes identified to date. Early and extensive studies on NCR led to the identification of the 4 GATA zinc finger transcription factors, but the primary mechanism initiating NCR is still unclear up till now. To identify novel players of NCR, we have undertaken a genetic screen in an NCR-relieved gdh1Δ mutant, which led to the identification of four genes directly linked to protein ubiquitylation. Ubiquitylation is an important way of regulating amino acid transporters and our observations being specifically observed in glutamine-containing media, we hypothesized that glutamine transport could be involved in establishing NCR. Stabilization of Gap1 at the plasma membrane restored NCR in gdh1Δ cells and AGP1 (but not GAP1) deletion could relieve repression in the ubiquitylation mutants isolated during the screen. Altogether, our results suggest that deregulated glutamine transporter function in all three weak nitrogen derepressed (wnd) mutants restores the repression of NCR-sensitive genes consecutive to GDH1 deletion. This article is protected by copyright. All rights reserved.
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Affiliation(s)
| | - Fayyad-Kazan Mohammad
- Université Libre de Bruxelles, Belgium.,Biotechnology Department, American International University (AIU), Saad Al Abdullah, Al Jahra, Kuwait
| | - Zaremba Evi
- Labiris, Brussels, Belgium.,Université Libre de Bruxelles, Belgium
| | | | | | - Dubois Evelyne
- Labiris, Brussels, Belgium.,Université Libre de Bruxelles, Belgium
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5
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Mat Nanyan NSB, Takagi H. Proline Homeostasis in Saccharomyces cerevisiae: How Does the Stress-Responsive Transcription Factor Msn2 Play a Role? Front Genet 2020; 11:438. [PMID: 32411186 PMCID: PMC7198862 DOI: 10.3389/fgene.2020.00438] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 04/09/2020] [Indexed: 12/12/2022] Open
Abstract
Overexpression of MSN2, which is the transcription factor gene in response to stress, is well-known to increase the tolerance of the yeast Saccharomyces cerevisiae cells to a wide variety of environmental stresses. Recent studies have found that the Msn2 is a feasible potential mediator of proline homeostasis in yeast. This result is based on the finding that overexpression of the MSN2 gene exacerbates the cytotoxicity of yeast to various amino acid analogs whose uptake is increased by the active amino acid permeases localized on the plasma membrane as a result of a dysfunctional deubiquitination process. Increased understanding of the cellular responses induced by the Msn2-mediated proline incorporation will provide better comprehension of how cells respond to and counteract to different kinds of stimuli and will also contribute to the breeding of industrial yeast strains with increased productivity.
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Affiliation(s)
| | - Hiroshi Takagi
- Division of Biological Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Japan
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6
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Molinet J, Cubillos FA, Salinas F, Liti G, Martínez C. Genetic variants of TORC1 signaling pathway affect nitrogen consumption in Saccharomyces cerevisiae during alcoholic fermentation. PLoS One 2019; 14:e0220515. [PMID: 31348805 PMCID: PMC6660096 DOI: 10.1371/journal.pone.0220515] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 07/17/2019] [Indexed: 12/27/2022] Open
Abstract
In the alcoholic fermentation process, Saccharomyces cerevisiae strains present differences in their nitrogen consumption profiles, these phenotypic outcomes have complex genetic and molecular architectures. In this sense, variations in nitrogen signaling pathways regulated by TORC1 represent one of the main sources of phenotypic diversity in nitrogen consumption. This emphasizes the possible roles that allelic variants from the TORC1 pathway have in the nitrogen consumption differences observed in yeast during the alcoholic fermentation. Here, we studied the allelic diversity in the TORC1 pathway across four yeast strains and determined how these polymorphisms directly impact nitrogen consumption during alcoholic fermentation. Using a reciprocal hemizygosity approach combined with phenotyping under fermentative conditions, we found that allelic variants of GTR1, TOR2, SIT4, SAP185, EAP1, NPR1 and SCH9 underlie differences in the ammonium and amino acids consumption phenotypes. Among these, GTR1 alleles from the Wine/European and West African genetic backgrounds showed the greatest effects on ammonium and amino acid consumption, respectively. Furthermore, we identified allelic variants of SAP185, TOR2, SCH9 and NPR1 from an oak isolate that increased the amino acid consumption preference over ammonium; representing putative candidates coming from a non-domesticated strain that could be used for genetic improvement programs. In conclusion, our results demonstrated that a large number of allelic variants within the TORC1 pathway significantly impacts on regulatory mechanisms of nitrogen assimilation during alcoholic fermentation.
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Affiliation(s)
- Jennifer Molinet
- Departamento de Ciencia y Tecnología de los Alimentos, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Francisco A. Cubillos
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Departamento de Biología, Facultad de Química y Biología, Universidad de Santiago de Chile (USACH), Santiago, Chile
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Francisco Salinas
- Millennium Institute for Integrative Biology (iBio), Santiago, Chile
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile
- Instituto de Bioquímica y Microbiología, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile
| | - Gianni Liti
- Institute for Research on Cancer and Ageing of Nice (IRCAN), Centre National de la Recherche Scientifique (CNRS), INSERM, University of Côte d’Azur, Nice, France
| | - Claudio Martínez
- Departamento de Ciencia y Tecnología de los Alimentos, Universidad de Santiago de Chile (USACH), Santiago, Chile
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile
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7
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Zhang P, Chen Q, Fu G, Xia L, Hu X. Regulation and metabolic engineering strategies for permeases of Saccharomyces cerevisiae. World J Microbiol Biotechnol 2019; 35:112. [PMID: 31286266 DOI: 10.1007/s11274-019-2684-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 06/26/2019] [Indexed: 12/19/2022]
Abstract
Microorganisms have evolved permeases to incorporate various essential nutrients and exclude harmful products, which assists in adaptation to different environmental conditions for survival. As permeases are directly involved in the utilization of and regulatory response to nutrient sources, metabolic engineering of microbial permeases can predictably influence nutrient metabolism and regulation. In this mini-review, we have summarized the mechanisms underlying the general regulation of permeases, and the current advancements and future prospects of metabolic engineering strategies targeting the permeases in Saccharomyces cerevisiae. The different types of permeases and their regulatory mechanisms have been discussed. Furthermore, methods for metabolic engineering of permeases have been highlighted. Understanding the mechanisms via which permeases are meticulously regulated and engineered will not only facilitate research on regulation of global nutrition and yeast metabolic engineering, but can also provide important insights for future studies on the synthesis of valuable products and elimination of harmful substances in S. cerevisiae.
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Affiliation(s)
- Peng Zhang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, China.,School of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang, 330047, Jiangxi, China
| | - Qian Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, China.,School of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang, 330047, Jiangxi, China
| | - Guiming Fu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, China.,School of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang, 330047, Jiangxi, China
| | - Linglin Xia
- Department of Software, Nanchang University, Nanchang, 330047, China
| | - Xing Hu
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, China. .,School of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang, 330047, Jiangxi, China.
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8
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Welkenhuysen N, Schnitzer B, Österberg L, Cvijovic M. Robustness of Nutrient Signaling Is Maintained by Interconnectivity Between Signal Transduction Pathways. Front Physiol 2019; 9:1964. [PMID: 30719010 PMCID: PMC6348271 DOI: 10.3389/fphys.2018.01964] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 12/31/2018] [Indexed: 12/16/2022] Open
Abstract
Systems biology approaches provide means to study the interplay between biological processes leading to the mechanistic understanding of the properties of complex biological systems. Here, we developed a vector format rule-based Boolean logic model of the yeast S. cerevisiae cAMP-PKA, Snf1, and the Snf3-Rgt2 pathway to better understand the role of crosstalk on network robustness and function. We identified that phosphatases are the common unknown components of the network and that crosstalk from the cAMP-PKA pathway to other pathways plays a critical role in nutrient sensing events. The model was simulated with known crosstalk combinations and subsequent analysis led to the identification of characteristics and impact of pathway interconnections. Our results revealed that the interconnections between the Snf1 and Snf3-Rgt2 pathway led to increased robustness in these signaling pathways. Overall, our approach contributes to the understanding of the function and importance of crosstalk in nutrient signaling.
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Affiliation(s)
- Niek Welkenhuysen
- Department of Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden.,Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Barbara Schnitzer
- Department of Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden.,Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| | - Linnea Österberg
- Department of Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden.,Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.,Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Marija Cvijovic
- Department of Mathematical Sciences, University of Gothenburg, Gothenburg, Sweden.,Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
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9
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Santos J, Leitão-Correia F, Sousa MJ, Leão C. Nitrogen and carbon source balance determines longevity, independently of fermentative or respiratory metabolism in the yeast Saccharomyces cerevisiae. Oncotarget 2018; 7:23033-42. [PMID: 27072582 PMCID: PMC5029608 DOI: 10.18632/oncotarget.8656] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2015] [Accepted: 03/28/2016] [Indexed: 12/31/2022] Open
Abstract
Dietary regimens have proven to delay aging and age-associated diseases in several eukaryotic model organisms but the input of nutritional balance to longevity regulation is still poorly understood. Here, we present data on the role of single carbon and nitrogen sources and their interplay in yeast longevity. Data demonstrate that ammonium, a rich nitrogen source, decreases chronological life span (CLS) of the prototrophic Saccharomyces cerevisiae strain PYCC 4072 in a concentration-dependent manner and, accordingly, that CLS can be extended through ammonium restriction, even in conditions of initial glucose abundance. We further show that CLS extension depends on initial ammonium and glucose concentrations in the growth medium, as long as other nutrients are not limiting. Glutamine, another rich nitrogen source, induced CLS shortening similarly to ammonium, but this effect was not observed with the poor nitrogen source urea. Ammonium decreased yeast CLS independently of the metabolic process activated during aging, either respiration or fermentation, and induced replication stress inhibiting a proper cell cycle arrest in G0/G1 phase. The present results shade new light on the nutritional equilibrium as a key factor on cell longevity and may contribute for the definition of interventions to promote life span and healthy aging.
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Affiliation(s)
- Júlia Santos
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Fernanda Leitão-Correia
- Molecular and Environmental Biology Centre (CBMA), Department of Biology, University of Minho, Braga, Portugal
| | - Maria João Sousa
- Molecular and Environmental Biology Centre (CBMA), Department of Biology, University of Minho, Braga, Portugal
| | - Cecília Leão
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.,ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
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10
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Palavecino-Ruiz M, Bermudez-Moretti M, Correa-Garcia S. Unravelling the transcriptional regulation of Saccharomyces cerevisiae UGA genes: the dual role of transcription factor Leu3. MICROBIOLOGY-SGM 2017; 163:1692-1701. [PMID: 29058647 DOI: 10.1099/mic.0.000560] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Yeast cells can use γ-aminobutyric acid (GABA), a non-protein amino acid, as a nitrogen source that is mainly imported by the permease Uga4 and catabolized by the enzymes GABA transaminase and succinate-semialdehyde dehydrogenase, encoded by the UGA1 and UGA2 genes, respectively. The three UGA genes are inducible by GABA and subject to nitrogen catabolite repression. Hence, their regulation occurs through two mechanisms, one dependent on the inducer and the other on nitrogen source quality. The aim of this work was to better understand the molecular mechanisms of transcription factors acting on different regulatory elements present in UGA promoters, such as Uga3, Dal81, Leu3 and the GATA factors, and to establish the mechanism of the concerted action between them. We found that Gat1 plays an important role in the induction of UGA4 transcription by GABA and that Gzf3 has an effect in cells grown in a poor nitrogen source such as proline and that this effect is positive on UGA4 expression. We also found that Gln3 and Dal80 affect the interaction of Uga3 and Dal81 on UGA promoters. Moreover, our results indicated that the repressing activity of Leu3 on UGA4 and UGA1 occurs through Dal80 since we demonstrated that Leu3 facilitates Dal80 interaction with DNA. However, when the expression of GATA factors is null or negligible, Leu3 functions as an activator.
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Affiliation(s)
- Marcos Palavecino-Ruiz
- Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Química Biológica; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN). Buenos Aires, Argentina
| | - Mariana Bermudez-Moretti
- Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Química Biológica; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN). Buenos Aires, Argentina
| | - Susana Correa-Garcia
- Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Química Biológica; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales (IQUIBICEN). Buenos Aires, Argentina
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11
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Pfannmüller A, Leufken J, Studt L, Michielse CB, Sieber CMK, Güldener U, Hawat S, Hippler M, Fufezan C, Tudzynski B. Comparative transcriptome and proteome analysis reveals a global impact of the nitrogen regulators AreA and AreB on secondary metabolism in Fusarium fujikuroi. PLoS One 2017; 12:e0176194. [PMID: 28441411 PMCID: PMC5404775 DOI: 10.1371/journal.pone.0176194] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Accepted: 04/06/2017] [Indexed: 11/18/2022] Open
Abstract
The biosynthesis of multiple secondary metabolites in the phytopathogenic ascomycete Fusarium fujikuroi is strongly affected by nitrogen availability. Here, we present the first genome-wide transcriptome and proteome analysis that compared the wild type and deletion mutants of the two major nitrogen regulators AreA and AreB. We show that AreB acts not simply as an antagonist of AreA counteracting the expression of AreA target genes as suggested based on the yeast model. Both GATA transcription factors affect a large and diverse set of common as well as specific target genes and proteins, acting as activators and repressors. We demonstrate that AreA and AreB are not only involved in fungal nitrogen metabolism, but also in the control of several complex cellular processes like carbon metabolism, transport and secondary metabolism. We show that both GATA transcription factors can be considered as master regulators of secondary metabolism as they affect the expression of more than half of the 47 putative secondary metabolite clusters identified in the genome of F. fujikuroi. While AreA acts as a positive regulator of many clusters under nitrogen-limiting conditions, AreB is able to activate and repress gene clusters (e.g. bikaverin) under nitrogen limitation and sufficiency. In addition, ChIP analyses revealed that loss of AreA or AreB causes histone modifications at some of the regulated gene clusters.
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Affiliation(s)
- Andreas Pfannmüller
- Institute of Biology and Biotechnology of Plants, Molecular Biology and Biotechnology of Fungi, Westfälische Wilhelms-University Münster, Münster, Germany
| | - Johannes Leufken
- Institute of Biology and Biotechnology of Plants, Computational Biology, Westfälische Wilhelms-University Münster, Münster, Germany
| | - Lena Studt
- Institute of Biology and Biotechnology of Plants, Molecular Biology and Biotechnology of Fungi, Westfälische Wilhelms-University Münster, Münster, Germany
- Division of Microbial Genetics and Pathogen Interaction, Department of Applied Genetics and Cell Biology, Campus-Tulln, BOKU-University of Natural Resources and Life Science, Vienna, Austria
| | - Caroline B. Michielse
- Institute of Biology and Biotechnology of Plants, Molecular Biology and Biotechnology of Fungi, Westfälische Wilhelms-University Münster, Münster, Germany
| | - Christian M. K. Sieber
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Ulrich Güldener
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Genome-oriented Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, Freising, Germany
| | - Susan Hawat
- Institute of Biology and Biotechnology of Plants, Plant Biochemistry and Biotechnology, Westfälische Wilhelms-University Münster, Münster, Germany
| | - Michael Hippler
- Institute of Biology and Biotechnology of Plants, Plant Biochemistry and Biotechnology, Westfälische Wilhelms-University Münster, Münster, Germany
| | - Christian Fufezan
- Institute of Biology and Biotechnology of Plants, Computational Biology, Westfälische Wilhelms-University Münster, Münster, Germany
| | - Bettina Tudzynski
- Institute of Biology and Biotechnology of Plants, Molecular Biology and Biotechnology of Fungi, Westfälische Wilhelms-University Münster, Münster, Germany
- * E-mail:
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12
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Milias-Argeitis A, Oliveira AP, Gerosa L, Falter L, Sauer U, Lygeros J. Elucidation of Genetic Interactions in the Yeast GATA-Factor Network Using Bayesian Model Selection. PLoS Comput Biol 2016; 12:e1004784. [PMID: 26967983 PMCID: PMC4788432 DOI: 10.1371/journal.pcbi.1004784] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Accepted: 02/02/2016] [Indexed: 12/03/2022] Open
Abstract
Understanding the structure and function of complex gene regulatory networks using classical genetic assays is an error-prone procedure that frequently generates ambiguous outcomes. Even some of the best-characterized gene networks contain interactions whose validity is not conclusively proven. Founded on dynamic experimental data, mechanistic mathematical models are able to offer detailed insights that would otherwise require prohibitively large numbers of genetic experiments. Here we attempt mechanistic modeling of the transcriptional network formed by the four GATA-factor proteins, a well-studied system of central importance for nitrogen-source regulation of transcription in the yeast Saccharomyces cerevisiae. To resolve ambiguities in the network organization, we encoded a set of five interactions hypothesized in the literature into a set of 32 mathematical models, and employed Bayesian model selection to identify the most plausible set of interactions based on dynamic gene expression data. The top-ranking model was validated on newly generated GFP reporter dynamic data and was subsequently used to gain a better understanding of how yeast cells organize their transcriptional response to dynamic changes of nitrogen sources. Our work constitutes a necessary and important step towards obtaining a holistic view of the yeast nitrogen regulation mechanisms; on the computational side, it provides a demonstration of how powerful Monte Carlo techniques can be creatively combined and used to address the great challenges of large-scale dynamical system inference. Gene regulatory networks underlie all key processes that enable a cell to maintain long-term homeostasis in a changing environment. Understanding the structure and function of complex gene networks is an experimentally difficult and error-prone procedure. Mechanistic mathematical modeling promises to alleviate these problems, as we demonstrate here for the yeast GATA-factor network, the central controller of the cellular response to nitrogen source quality. Despite years of targeted studies, the interaction pattern of this network is still not known precisely. To resolve several still-remaining ambiguities, we generated a set of alternative mathematical models, and compared them against each other using Bayesian model selection based on dynamic gene expression data. The top-ranking model was then validated on a separate, newly generated dataset. Our work thus provides new insights to the mechanism of nitrogen regulation in yeast, while at the same time overcoming some key computational inference problems for large models in systems biology.
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Affiliation(s)
| | | | - Luca Gerosa
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Laura Falter
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Uwe Sauer
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - John Lygeros
- Automatic Control Laboratory, ETH Zurich, Zurich, Switzerland
- * E-mail:
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Fayyad-Kazan M, Feller A, Bodo E, Boeckstaens M, Marini AM, Dubois E, Georis I. Yeast nitrogen catabolite repression is sustained by signals distinct from glutamine and glutamate reservoirs. Mol Microbiol 2015; 99:360-79. [DOI: 10.1111/mmi.13236] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/28/2015] [Indexed: 01/29/2023]
Affiliation(s)
- Mohammad Fayyad-Kazan
- Institut de Recherches Microbiologiques J.-M. Wiame; 1070 Brussels Belgium
- Laboratoire de Biologie du Transport Membranaire; Institut de Biologie et de Médecine Moléculaires; Université Libre de Bruxelles; 6041 Gosselies Belgium
| | - A. Feller
- Institut de Recherches Microbiologiques J.-M. Wiame; 1070 Brussels Belgium
- Laboratoire de Microbiologie; Institut de Biologie et de Médecine Moléculaires; Université Libre de Bruxelles; 6041 Gosselies Belgium
| | - E. Bodo
- Unité de Biotechnologie; 1070 Brussels Belgium
| | - M. Boeckstaens
- Laboratoire de Biologie du Transport Membranaire; Institut de Biologie et de Médecine Moléculaires; Université Libre de Bruxelles; 6041 Gosselies Belgium
| | - A. M. Marini
- Laboratoire de Biologie du Transport Membranaire; Institut de Biologie et de Médecine Moléculaires; Université Libre de Bruxelles; 6041 Gosselies Belgium
| | - E. Dubois
- Institut de Recherches Microbiologiques J.-M. Wiame; 1070 Brussels Belgium
- Laboratoire de Microbiologie; Institut de Biologie et de Médecine Moléculaires; Université Libre de Bruxelles; 6041 Gosselies Belgium
| | - I. Georis
- Institut de Recherches Microbiologiques J.-M. Wiame; 1070 Brussels Belgium
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Tate JJ, Georis I, Rai R, Vierendeels F, Dubois E, Cooper TG. GATA Factor Regulation in Excess Nitrogen Occurs Independently of Gtr-Ego Complex-Dependent TorC1 Activation. G3 (BETHESDA, MD.) 2015; 5:1625-38. [PMID: 26024867 PMCID: PMC4528319 DOI: 10.1534/g3.115.019307] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Accepted: 05/28/2015] [Indexed: 11/28/2022]
Abstract
The TorC1 protein kinase complex is a central component in a eukaryotic cell's response to varying nitrogen availability, with kinase activity being stimulated in nitrogen excess by increased intracellular leucine. This leucine-dependent TorC1 activation requires functional Gtr1/2 and Ego1/3 complexes. Rapamycin inhibition of TorC1 elicits nuclear localization of Gln3, a GATA-family transcription activator responsible for the expression of genes encoding proteins required to transport and degrade poor nitrogen sources, e.g., proline. In nitrogen-replete conditions, Gln3 is cytoplasmic and Gln3-mediated transcription minimal, whereas in nitrogen limiting or starvation conditions, or after rapamycin treatment, Gln3 is nuclear and transcription greatly increased. Increasing evidence supports the idea that TorC1 activation may not be as central to nitrogen-responsive intracellular Gln3 localization as envisioned previously. To test this idea directly, we determined whether Gtr1/2- and Ego1/3-dependent TorC1 activation also was required for cytoplasmic Gln3 sequestration and repressed GATA factor-mediated transcription by abolishing the Gtr-Ego complex proteins. We show that Gln3 is sequestered in the cytoplasm of gtr1Δ, gtr2Δ, ego1Δ, and ego3Δ strains either long term in logarithmically glutamine-grown cells or short term after refeeding glutamine to nitrogen-limited or -starved cells; GATA factor-dependent transcription also was minimal. However, in all but a gtr1Δ, nuclear Gln3 localization in response to nitrogen limitation or starvation was adversely affected. Our data demonstrate: (i) Gtr-Ego-dependent TorC1 activation is not required for cytoplasmic Gln3 sequestration in nitrogen-rich conditions; (ii) a novel Gtr-Ego-TorC1 activation-independent mechanism sequesters Gln3 in the cytoplasm; (iii) Gtr and Ego complex proteins participate in nuclear Gln3-Myc(13) localization, heretofore unrecognized functions for these proteins; and (iv) the importance of searching for new mechanisms associated with TorC1 activation and/or the regulation of Gln3 localization/function in response to changes in the cells' nitrogen environment.
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Affiliation(s)
- Jennifer J Tate
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 38163
| | - Isabelle Georis
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie Université Libre de Bruxelles, Brussels B1070, Belgium
| | - Rajendra Rai
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 38163
| | - Fabienne Vierendeels
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie Université Libre de Bruxelles, Brussels B1070, Belgium
| | - Evelyne Dubois
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie Université Libre de Bruxelles, Brussels B1070, Belgium
| | - Terrance G Cooper
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 38163
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Marroquin-Guzman M, Wilson RA. GATA-Dependent Glutaminolysis Drives Appressorium Formation in Magnaporthe oryzae by Suppressing TOR Inhibition of cAMP/PKA Signaling. PLoS Pathog 2015; 11:e1004851. [PMID: 25901357 PMCID: PMC4406744 DOI: 10.1371/journal.ppat.1004851] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 04/03/2015] [Indexed: 01/14/2023] Open
Abstract
Fungal plant pathogens are persistent and global food security threats. To invade their hosts they often form highly specialized infection structures, known as appressoria. The cAMP/ PKA- and MAP kinase-signaling cascades have been functionally delineated as positive-acting pathways required for appressorium development. Negative-acting regulatory pathways that block appressorial development are not known. Here, we present the first detailed evidence that the conserved Target of Rapamycin (TOR) signaling pathway is a powerful inhibitor of appressorium formation by the rice blast fungus Magnaporthe oryzae. We determined TOR signaling was activated in an M. oryzae mutant strain lacking a functional copy of the GATA transcription factor-encoding gene ASD4. Δasd4 mutant strains could not form appressoria and expressed GLN1, a glutamine synthetase-encoding orthologue silenced in wild type. Inappropriate expression of GLN1 increased the intracellular steady-state levels of glutamine in Δasd4 mutant strains during axenic growth when compared to wild type. Deleting GLN1 lowered glutamine levels and promoted appressorium formation by Δasd4 strains. Furthermore, glutamine is an agonist of TOR. Treating Δasd4 mutant strains with the specific TOR kinase inhibitor rapamycin restored appressorium development. Rapamycin was also shown to induce appressorium formation by wild type and Δcpka mutant strains on non-inductive hydrophilic surfaces but had no effect on the MAP kinase mutant Δpmk1. When taken together, we implicate Asd4 in regulating intracellular glutamine levels in order to modulate TOR inhibition of appressorium formation downstream of cPKA. This study thus provides novel insight into the metabolic mechanisms that underpin the highly regulated process of appressorium development. Many fungal pathogens destroy important crops by first gaining entrance to the host using specialized appressorial cells. Understanding the molecular mechanisms that control appressorium formation could provide new routes for managing severe plant diseases. Here, we describe a previously unknown regulatory pathway that suppresses appressorium formation by the rice pathogen Magnaporthe oryzae. We provide evidence that a mutant M. oryzae strain, unable to form appressoria, accumulates intracellular glutamine that, in turn, inappropriately activates a conserved signaling pathway called TOR. Reducing intracellular glutamine levels, or inactivating TOR, restored appressorium formation to the mutant strain. TOR activation is thus a powerful inhibitor of appressorium formation and could be leveraged to develop sustainable mitigation practices against recalcitrant fungal pathogens.
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Affiliation(s)
- Margarita Marroquin-Guzman
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America
| | - Richard A. Wilson
- Department of Plant Pathology, University of Nebraska-Lincoln, Lincoln, Nebraska, United States of America
- * E-mail:
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16
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Crépin L, Sanchez I, Nidelet T, Dequin S, Camarasa C. Efficient ammonium uptake and mobilization of vacuolar arginine by Saccharomyces cerevisiae wine strains during wine fermentation. Microb Cell Fact 2014; 13:109. [PMID: 25134990 PMCID: PMC4244049 DOI: 10.1186/s12934-014-0109-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2014] [Accepted: 07/22/2014] [Indexed: 11/10/2022] Open
Abstract
Background Under N-limiting conditions, Saccharomyces cerevisiae strains display a substantial variability in their biomass yield from consumed nitrogen -in particular wine yeasts exhibit high growth abilities- that is correlated with their capacity to complete alcoholic fermentation, a trait of interest for fermented beverages industries. The aim of the present work was to assess the contribution of nitrogen availability to the strain-specific differences in the ability to efficiently use N-resource for growth and to identify the underlying mechanisms. We compared the profiles of assimilation of several nitrogen sources (mostly ammonium, glutamine, and arginine) for high and low biomass-producing strains in various conditions of nitrogen availability. We also analyzed the intracellular fate of nitrogen compounds. Results Strains clustered into two groups at initial nitrogen concentrations between 85 and 385 mg N.L−1: high biomass producers that included wine strains, were able to complete fermentation of 240 g.L−1 glucose and quickly consume nitrogen, in contrast to low biomass producers. The two classes of strains exhibited distinctive characteristics that contributed to their differential capacity to produce biomass. The contribution of each characteristic varied according to nitrogen availability. In high biomass producers, the high rate of ammonium uptake resulted in an important consumption of this preferred nitrogen source that promoted the growth of these yeasts when nitrogen was provided in excess. Both classes of yeast accumulated poor nitrogen sources, mostly arginine, in vacuoles during the first stages of growth. However, at end of the growth phase when nitrogen had become limiting, high biomass producers more efficiently used this vacuolar nitrogen fraction for protein synthesis and further biomass formation than low biomass producers. Conclusions Overall, we demonstrate that the efficient management of the nitrogen resource, including efficient ammonium uptake and efficient use of the amino acids stored in vacuoles during the late stages of growth, might lead to high biomass production by wine yeasts. Electronic supplementary material The online version of this article (doi:10.1186/s12934-014-0109-0) contains supplementary material, which is available to authorized users.
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17
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Romagnoli G, Knijnenburg TA, Liti G, Louis EJ, Pronk JT, Daran JM. Deletion of theSaccharomyces cerevisiae ARO8gene, encoding an aromatic amino acid transaminase, enhances phenylethanol production from glucose. Yeast 2014; 32:29-45. [DOI: 10.1002/yea.3015] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Revised: 03/18/2014] [Accepted: 04/04/2014] [Indexed: 11/11/2022] Open
Affiliation(s)
- Gabriele Romagnoli
- Department of Biotechnology; Delft University of Technology; Delft The Netherlands
- Kluyver Centre for Genomics of Industrial Fermentation; Delft The Netherlands
| | | | - Gianni Liti
- Centre for Genetics and Genomics, Queens Medical Centre; University of Nottingham; UK
- Institute for Research on Cancer and Ageing; CNRS UMR 7284-INSERM U 1081- UNS NICE; Nice France
| | - Edward J. Louis
- Centre for Genetics and Genomics, Queens Medical Centre; University of Nottingham; UK
- Centre for Genetic Architecture of Complex Traits, Department of Genetics; University of Leicester; UK
| | - Jack T. Pronk
- Department of Biotechnology; Delft University of Technology; Delft The Netherlands
- Kluyver Centre for Genomics of Industrial Fermentation; Delft The Netherlands
- Platform Green Synthetic Biology; Delft The Netherlands
| | - Jean-Marc Daran
- Department of Biotechnology; Delft University of Technology; Delft The Netherlands
- Kluyver Centre for Genomics of Industrial Fermentation; Delft The Netherlands
- Platform Green Synthetic Biology; Delft The Netherlands
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18
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Zhao S, Zhao X, Zou H, Fu J, Du G, Zhou J, Chen J. Comparative proteomic analysis of Saccharomyces cerevisiae under different nitrogen sources. J Proteomics 2014; 101:102-12. [PMID: 24530623 DOI: 10.1016/j.jprot.2014.01.031] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2013] [Revised: 11/28/2013] [Accepted: 01/24/2014] [Indexed: 11/15/2022]
Abstract
In cultures containing multiple sources of nitrogen, Saccharomyces cerevisiae exhibits a sequential use of nitrogen sources through a mechanism known as nitrogen catabolite repression (NCR). To identify proteins differentially expressed due to NCR, proteomic analysis of S. cerevisiae S288C under different nitrogen source conditions was performed using two-dimensional gel electrophoresis (2-DE), revealing 169 candidate protein spots. Among these 169 protein spots, 121 were identified by matrix assisted laser desorption ionization-time of flight/time of flight mass spectrometry (MALDI-TOF/TOF). The identified proteins were closely associated with four main biological processes through Gene Ontology (GO) categorical analysis. The identification of the potential proteins and cellular processes related to NCR offer a global overview of changes elicited by different nitrogen sources, providing clues into how yeast adapt to different nutritional conditions. Moreover, by comparing our proteomic data with corresponding mRNA data, proteins regulated at the transcriptional and post-transcriptional level could be distinguished. Biological significance In S. cerevisiae, different nitrogen sources provide different growth characteristics and generate different metabolites. The nitrogen catabolite repression (NCR) process plays an important role for S. cerevisiae in the ordinal utilization of different nitrogen sources. NCR process can result in significant shift of global metabolic networks. Previous works on NCR primarily focused on transcriptomic level. The results obtained in this study provided a global atlas of the proteome changes triggered by different nitrogen sources and would facilitate the understanding of mechanisms for how yeast could adapt to different nutritional conditions.
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Affiliation(s)
- Shaohui Zhao
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Synergetic Innovation Center of Food Safety and Nutrition, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Xinrui Zhao
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Synergetic Innovation Center of Food Safety and Nutrition, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Huijun Zou
- Zhejiang Guyuelongshan Shaoxing Wine Company, 13 Yangjiang Road, Shaoxing, Zhejiang 312000, China
| | - Jianwei Fu
- Zhejiang Guyuelongshan Shaoxing Wine Company, 13 Yangjiang Road, Shaoxing, Zhejiang 312000, China
| | - Guocheng Du
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Synergetic Innovation Center of Food Safety and Nutrition, 1800 Lihu Road, Wuxi, Jiangsu 214122, China
| | - Jingwen Zhou
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Synergetic Innovation Center of Food Safety and Nutrition, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
| | - Jian Chen
- Key Laboratory of Industrial Biotechnology, Ministry of Education, School of Biotechnology, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, China; Synergetic Innovation Center of Food Safety and Nutrition, 1800 Lihu Road, Wuxi, Jiangsu 214122, China.
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19
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Sunnåker M, Zamora-Sillero E, López García de Lomana A, Rudroff F, Sauer U, Stelling J, Wagner A. Topological augmentation to infer hidden processes in biological systems. Bioinformatics 2014; 30:221-7. [PMID: 24297519 PMCID: PMC3892687 DOI: 10.1093/bioinformatics/btt638] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2013] [Revised: 10/28/2013] [Accepted: 10/31/2013] [Indexed: 11/12/2022] Open
Abstract
MOTIVATION A common problem in understanding a biochemical system is to infer its correct structure or topology. This topology consists of all relevant state variables-usually molecules and their interactions. Here we present a method called topological augmentation to infer this structure in a statistically rigorous and systematic way from prior knowledge and experimental data. RESULTS Topological augmentation starts from a simple model that is unable to explain the experimental data and augments its topology by adding new terms that capture the experimental behavior. This process is guided by representing the uncertainty in the model topology through stochastic differential equations whose trajectories contain information about missing model parts. We first apply this semiautomatic procedure to a pharmacokinetic model. This example illustrates that a global sampling of the parameter space is critical for inferring a correct model structure. We also use our method to improve our understanding of glutamine transport in yeast. This analysis shows that transport dynamics is determined by glutamine permeases with two different kinds of kinetics. Topological augmentation can not only be applied to biochemical systems, but also to any system that can be described by ordinary differential equations. AVAILABILITY AND IMPLEMENTATION Matlab code and examples are available at: http://www.csb.ethz.ch/tools/index
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Affiliation(s)
- Mikael Sunnåker
- Department of Biosystems Science and Engineering/Swiss Institute of Bioinformatics, ETH Zurich, 4058 Basel, Switzerland, Competence Center for Systems Physiology and Metabolic Diseases, ETH Zurich, 8093 Zurich, Switzerland, Institute of Evolutionary Biology and Environmental Studies/Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland, Institute for Molecular Systems Biology, 8093 Zurich, Switzerland and The Santa Fe Institute, Santa Fe, 87501 New Mexico, USA
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Rai R, Tate JJ, Georis I, Dubois E, Cooper TG. Constitutive and nitrogen catabolite repression-sensitive production of Gat1 isoforms. J Biol Chem 2013; 289:2918-33. [PMID: 24324255 DOI: 10.1074/jbc.m113.516740] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Nitrogen catabolite repression (NCR)-sensitive transcription is activated by Gln3 and Gat1. In nitrogen excess, Gln3 and Gat1 are cytoplasmic, and transcription is minimal. In poor nitrogen, Gln3 and Gat1 become nuclear and activate transcription. A long standing paradox has surrounded Gat1 production. Gat1 was first reported as an NCR-regulated activity mediating NCR-sensitive transcription in gln3 deletion strains. Upon cloning, GAT1 transcription was, as predicted, NCR-sensitive and Gln3- and Gat1-activated. In contrast, Western blots of Gat1-Myc(13) exhibited two constitutively produced species. Investigating this paradox, we demonstrate that wild type Gat1 isoforms (IsoA and IsoB) are initiated at Gat1 methionines 40, 95, and/or 102, but not at methionine 1. Their low level production is the same in rich and poor nitrogen conditions. When the Myc(13) tag is placed after Gat1 Ser-233, four N-terminal Gat1 isoforms (IsoC-F) are also initiated at methionines 40, 95, and/or 102. However, their production is highly NCR-sensitive, being greater in proline than glutamine medium. Surprisingly, all Gat1 isoforms produced in sufficient quantities to be confidently analyzed (IsoA, IsoC, and IsoD) require Gln3 and UASGATA promoter elements, both requirements typical of NCR-sensitive transcription. These data demonstrate that regulated Gat1 production is more complex than previously recognized, with wild type versus truncated Gat1 proteins failing to be regulated in parallel. This is the first reported instance of Gln3 UASGATA-dependent protein production failing to derepress in nitrogen poor conditions. A Gat1-lacZ ORF swap experiment indicated sequence(s) responsible for the nonparallel production are downstream of Gat1 leucine 61.
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Affiliation(s)
- Rajendra Rai
- From the Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, Tennessee 38163 and
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21
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Bessonov K, Walkey CJ, Shelp BJ, van Vuuren HJJ, Chiu D, van der Merwe G. Functional analyses of NSF1 in wine yeast using interconnected correlation clustering and molecular analyses. PLoS One 2013; 8:e77192. [PMID: 24130853 PMCID: PMC3793944 DOI: 10.1371/journal.pone.0077192] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2012] [Accepted: 09/04/2013] [Indexed: 11/19/2022] Open
Abstract
Analyzing time-course expression data captured in microarray datasets is a complex undertaking as the vast and complex data space is represented by a relatively low number of samples as compared to thousands of available genes. Here, we developed the Interdependent Correlation Clustering (ICC) method to analyze relationships that exist among genes conditioned on the expression of a specific target gene in microarray data. Based on Correlation Clustering, the ICC method analyzes a large set of correlation values related to gene expression profiles extracted from given microarray datasets. ICC can be applied to any microarray dataset and any target gene. We applied this method to microarray data generated from wine fermentations and selected NSF1, which encodes a C2H2 zinc finger-type transcription factor, as the target gene. The validity of the method was verified by accurate identifications of the previously known functional roles of NSF1. In addition, we identified and verified potential new functions for this gene; specifically, NSF1 is a negative regulator for the expression of sulfur metabolism genes, the nuclear localization of Nsf1 protein (Nsf1p) is controlled in a sulfur-dependent manner, and the transcription of NSF1 is regulated by Met4p, an important transcriptional activator of sulfur metabolism genes. The inter-disciplinary approach adopted here highlighted the accuracy and relevancy of the ICC method in mining for novel gene functions using complex microarray datasets with a limited number of samples.
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Affiliation(s)
- Kyrylo Bessonov
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada
- School of Computer Science, University of Guelph, Guelph, Ontario, Canada
| | - Christopher J. Walkey
- Wine Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Barry J. Shelp
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, Canada
| | | | - David Chiu
- School of Computer Science, University of Guelph, Guelph, Ontario, Canada
| | - George van der Merwe
- Department of Molecular and Cellular Biology, University of Guelph, Guelph, Ontario, Canada
- * E-mail:
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22
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Lee K, Hahn JS. Interplay of Aro80 and GATA activators in regulation of genes for catabolism of aromatic amino acids inSaccharomyces cerevisiae. Mol Microbiol 2013; 88:1120-34. [DOI: 10.1111/mmi.12246] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/26/2013] [Indexed: 11/29/2022]
Affiliation(s)
- Kyusung Lee
- School of Chemical and Biological Engineering; Seoul National University; 1 Gwanak-ro; Gwanak-gu; Seoul; 151-744; Korea
| | - Ji-Sook Hahn
- School of Chemical and Biological Engineering; Seoul National University; 1 Gwanak-ro; Gwanak-gu; Seoul; 151-744; Korea
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23
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Feller A, Georis I, Tate JJ, Cooper TG, Dubois E. Alterations in the Ure2 αCap domain elicit different GATA factor responses to rapamycin treatment and nitrogen limitation. J Biol Chem 2012. [PMID: 23184930 DOI: 10.1074/jbc.m112.385054] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Ure2 is a phosphoprotein and central negative regulator of nitrogen-responsive Gln3/Gat1 localization and their ability to activate transcription. This negative regulation is achieved by the formation of Ure2-Gln3 and -Gat1 complexes that are thought to sequester these GATA factors in the cytoplasm of cells cultured in excess nitrogen. Ure2 itself is a dimer the monomer of which consists of two core domains and a flexible protruding αcap. Here, we show that alterations in this αcap abolish rapamycin-elicited nuclear Gln3 and, to a more limited extent, Gat1 localization. In contrast, these alterations have little demonstrable effect on the Gln3 and Gat1 responses to nitrogen limitation. Using two-dimensional PAGE we resolved eight rather than the two previously reported Ure2 isoforms and demonstrated Ure2 dephosphorylation to be stimulus-specific, occurring after rapamycin treatment but only minimally if at all in nitrogen-limited cells. Alteration of the αcap significantly diminished the response of Ure2 dephosphorylation to the TorC1 inhibitor, rapamycin. Furthermore, in contrast to Gln3, rapamycin-elicited Ure2 dephosphorylation occurred independently of Sit4 and Pph21/22 (PP2A) as well as Siw14, Ptc1, and Ppz1. Together, our data suggest that distinct regions of Ure2 are associated with the receipt and/or implementation of signals calling for cessation of GATA factor sequestration in the cytoplasm. This in turn is more consistent with the existence of distinct pathways for TorC1- and nitrogen limitation-dependent control than it is with these stimuli representing sequential steps in a single regulatory pathway.
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Affiliation(s)
- Andre Feller
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie Université Libre de Bruxelles, B1070 Brussels, Belgium
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24
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Su C, Lu Y, Liu H. Reduced TOR signaling sustains hyphal development in Candida albicans by lowering Hog1 basal activity. Mol Biol Cell 2012; 24:385-97. [PMID: 23171549 PMCID: PMC3564525 DOI: 10.1091/mbc.e12-06-0477] [Citation(s) in RCA: 69] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Many signaling pathways important for hyphal development have been identified, but how Candida albicans coordinates information from these signaling pathways during hyphal development remains a major question. It is shown that reduced Tor1 signaling lowers the basal activity of the Hog1 MAP kinase to sustain hyphal elongation. Candida albicans is able to undergo reversible morphological changes between yeast and hyphal forms in response to environmental cues. This morphological plasticity is essential for its pathogenesis. Hyphal development requires two temporally linked changes in promoter chromatin, which is sequentially regulated by temporarily clearing the transcription inhibitor Nrg1 upon activation of cAMP/protein kinase A and promoter recruitment of the histone deacetylase Hda1 under reduced target of rapamycin (Tor1) signaling. The GATA family transcription factor Brg1 recruits Hda1 to promoters for sustained hyphal development, and BRG1 expression is a readout of reduced Tor1 signaling. How Tor1 regulates BRG1 expression is not clear. Using a forward genetic screen for mutants that can sustain hyphal elongation in rich media, we found hog1, ssk2, and pbs2 mutants of the HOG mitogen-activated protein kinase pathway to express BRG1 irrespective of rapamycin. Furthermore, rapamycin lowers the basal activity of Hog1 through the functions of the two Hog1 tyrosine phosphatases Ptp2 and Ptp3. Active Hog1 represses the expression of BRG1 via the transcriptional repressor Sko1 as Sko1 disassociates from the promoter of BRG1 in the hog1 mutant or in rapamycin. Our data suggest that reduced Tor1 signaling lowers Hog1 basal activity via Hog1 phosphatases to activate BRG1 expression for hyphal elongation.
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Affiliation(s)
- Chang Su
- Department of Biological Chemistry, University of California, Irvine, Irvine, CA 92697, USA
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25
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Abstract
Availability of key nutrients, such as sugars, amino acids, and nitrogen compounds, dictates the developmental programs and the growth rates of yeast cells. A number of overlapping signaling networks--those centered on Ras/protein kinase A, AMP-activated kinase, and target of rapamycin complex I, for instance--inform cells on nutrient availability and influence the cells' transcriptional, translational, posttranslational, and metabolic profiles as well as their developmental decisions. Here I review our current understanding of the structures of the networks responsible for assessing the quantity and quality of carbon and nitrogen sources. I review how these signaling pathways impinge on transcriptional, metabolic, and developmental programs to optimize survival of cells under different environmental conditions. I highlight the profound knowledge we have gained on the structure of these signaling networks but also emphasize the limits of our current understanding of the dynamics of these signaling networks. Moreover, the conservation of these pathways has allowed us to extrapolate our finding with yeast to address issues of lifespan, cancer metabolism, and growth control in more complex organisms.
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Affiliation(s)
- James R Broach
- Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.
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26
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Regulation of amino acid, nucleotide, and phosphate metabolism in Saccharomyces cerevisiae. Genetics 2012; 190:885-929. [PMID: 22419079 DOI: 10.1534/genetics.111.133306] [Citation(s) in RCA: 365] [Impact Index Per Article: 28.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Ever since the beginning of biochemical analysis, yeast has been a pioneering model for studying the regulation of eukaryotic metabolism. During the last three decades, the combination of powerful yeast genetics and genome-wide approaches has led to a more integrated view of metabolic regulation. Multiple layers of regulation, from suprapathway control to individual gene responses, have been discovered. Constitutive and dedicated systems that are critical in sensing of the intra- and extracellular environment have been identified, and there is a growing awareness of their involvement in the highly regulated intracellular compartmentalization of proteins and metabolites. This review focuses on recent developments in the field of amino acid, nucleotide, and phosphate metabolism and provides illustrative examples of how yeast cells combine a variety of mechanisms to achieve coordinated regulation of multiple metabolic pathways. Importantly, common schemes have emerged, which reveal mechanisms conserved among various pathways, such as those involved in metabolite sensing and transcriptional regulation by noncoding RNAs or by metabolic intermediates. Thanks to the remarkable sophistication offered by the yeast experimental system, a picture of the intimate connections between the metabolomic and the transcriptome is becoming clear.
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Loewith R, Hall MN. Target of rapamycin (TOR) in nutrient signaling and growth control. Genetics 2011; 189:1177-201. [PMID: 22174183 PMCID: PMC3241408 DOI: 10.1534/genetics.111.133363] [Citation(s) in RCA: 661] [Impact Index Per Article: 47.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2011] [Accepted: 09/12/2011] [Indexed: 12/16/2022] Open
Abstract
TOR (Target Of Rapamycin) is a highly conserved protein kinase that is important in both fundamental and clinical biology. In fundamental biology, TOR is a nutrient-sensitive, central controller of cell growth and aging. In clinical biology, TOR is implicated in many diseases and is the target of the drug rapamycin used in three different therapeutic areas. The yeast Saccharomyces cerevisiae has played a prominent role in both the discovery of TOR and the elucidation of its function. Here we review the TOR signaling network in S. cerevisiae.
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Affiliation(s)
- Robbie Loewith
- Department of Molecular Biology and National Centers of Competence in Research and Frontiers in Genetics and Chemical Biology, University of Geneva, Geneva, CH-1211, Switzerland
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Penacho V, Blondin B, Valero E, Gonzalez R. Flocculation and transcriptional adaptation to fermentation conditions in a recombinant wine yeast strain defective for KNR4/SMI1. Biotechnol Prog 2011; 28:327-36. [PMID: 22065482 DOI: 10.1002/btpr.734] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Revised: 09/08/2011] [Indexed: 02/05/2023]
Abstract
KNR4 defective recombinant wine yeast strains were previously shown to oversecrete mannoproteins during alcoholic fermentation and, depending on the genetic background, to contribute to protein stability of white wines. We have tried to get a deeper insight into the consequences of KNR4 deletion in a wine yeast strain, from both a biological and an enological standpoint, and to understand the mechanisms leading to improved mannoprotein release. In fermentation experiments, followed by aging on lees, and compared to the parent strain, the recombinant strain shows increased release of mannoproteins during the fermentation but little increase during aging. Mannoprotein release by the recombinant strain takes place mainly during the fermentation step. In contrast, autolysis of the recombinant strain keeps going after aging for 78 days. In addition, the recombinant strain is moderately flocculent, which would be interesting for the production of sparkling wines. This might be related to changes in the expression of Flo1p-regulated genes. The new biological processes affected by KNR4 deletion in wine yeasts, as revealed by this transcriptomic study are flocculation, adaptation to anaerobiosis, oxidative stress response, and ethanol tolerance, as well as FKS1 overexpression; but no overexpression was detected for genes coding for major structural mannoproteins of the cell wall.
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Affiliation(s)
- Vanessa Penacho
- Instituto de Ciencias de Vid y del Vino (CSIC-UR-CAR), Logroño, La Rioja, Spain
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Georis I, Tate JJ, Cooper TG, Dubois E. Nitrogen-responsive regulation of GATA protein family activators Gln3 and Gat1 occurs by two distinct pathways, one inhibited by rapamycin and the other by methionine sulfoximine. J Biol Chem 2011; 286:44897-912. [PMID: 22039046 DOI: 10.1074/jbc.m111.290577] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Nitrogen availability regulates the transcription of genes required to degrade non-preferentially utilized nitrogen sources by governing the localization and function of transcription activators, Gln3 and Gat1. TorC1 inhibitor, rapamycin (Rap), and glutamine synthetase inhibitor, methionine sulfoximine (Msx), elicit responses grossly similar to those of limiting nitrogen, implicating both glutamine synthesis and TorC1 in the regulation of Gln3 and Gat1. To better understand this regulation, we compared Msx- versus Rap-elicited Gln3 and Gat1 localization, their DNA binding, nitrogen catabolite repression-sensitive gene expression, and the TorC1 pathway phosphatase requirements for these responses. Using this information we queried whether Rap and Msx inhibit sequential steps in a single, linear cascade connecting glutamine availability to Gln3 and Gat1 control as currently accepted or alternatively inhibit steps in two distinct parallel pathways. We find that Rap most strongly elicits nuclear Gat1 localization and expression of genes whose transcription is most Gat1-dependent. Msx, on the other hand, elicits nuclear Gln3 but not Gat1 localization and expression of genes that are most Gln3-dependent. Importantly, Rap-elicited nuclear Gln3 localization is absolutely Sit4-dependent, but that elicited by Msx is not. PP2A, although not always required for nuclear GATA factor localization, is highly required for GATA factor binding to nitrogen-responsive promoters and subsequent transcription irrespective of the gene GATA factor specificities. Collectively, our data support the existence of two different nitrogen-responsive regulatory pathways, one inhibited by Msx and the other by rapamycin.
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Affiliation(s)
- Isabelle Georis
- Institut de Recherches Microbiologiques JM Wiame, Laboratoire de Microbiologie Université Libre de Bruxelles, B1070 Brussels, Belgium
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Granek JA, Kayıkçı Ö, Magwene PM. Pleiotropic signaling pathways orchestrate yeast development. Curr Opin Microbiol 2011; 14:676-81. [PMID: 21962291 DOI: 10.1016/j.mib.2011.09.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2011] [Revised: 08/31/2011] [Accepted: 09/07/2011] [Indexed: 12/15/2022]
Abstract
Developmental phenotypes in Saccharomyces cerevisiae and related yeasts include responses such as filamentous growth, sporulation, and the formation of biofilms and complex colonies. These developmental phenotypes are regulated by evolutionarily conserved, nutrient-responsive signaling networks. The signaling mechanisms that control development in yeast are highly pleiotropic--all the known pathways contribute to the regulation of multiple developmental outcomes. This degree of pleiotropy implies that perturbations of these signaling pathways, whether genetic, biochemical, or environmentally induced, can manifest in multiple (and sometimes unexpected) ways. We summarize the current state of knowledge of developmental pleiotropy in yeast and discuss its implications for understanding functional relationships.
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Affiliation(s)
- Joshua A Granek
- Department of Biology and IGSP Center for Systems Biology, Duke University, Box 90338, Durham, NC 27708, USA
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Georis I, Tate JJ, Feller A, Cooper TG, Dubois E. Intranuclear function for protein phosphatase 2A: Pph21 and Pph22 are required for rapamycin-induced GATA factor binding to the DAL5 promoter in yeast. Mol Cell Biol 2011; 31:92-104. [PMID: 20974806 PMCID: PMC3019842 DOI: 10.1128/mcb.00482-10] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2010] [Revised: 06/03/2010] [Accepted: 10/17/2010] [Indexed: 11/20/2022] Open
Abstract
Protein phosphatase 2A (PP2A), a central Tor pathway phosphatase consisting of a catalytic subunit (Pph21 or Pph22), a scaffold subunit (Tpd3), and one of two regulatory subunits (Cdc55 or Rts1), has been repeatedly shown to play important roles in cytoplasmically localized signal transduction activities. In contrast, its involvement in intranuclear control of mRNA production has heretofore not been reported. Here, we demonstrate for the first time that binding of the nitrogen catabolite repression-responsive GATA transcription activators (Gln3 and Gat1) to the DAL5 promoter and DAL5 expression require Pph21/22-Tpd3-Cdc55/Rts1 in rapamycin-treated glutamine-grown cells. This conclusion is supported by the following observations. (i) Rapamycin-induced DAL5 expression along with Gln3 and Gat1 binding to the DAL5 promoter fails to occur in pph21Δ pph22Δ, tpd3Δ, and cdc55Δ rts1Δ mutants. (ii) The Pph21/22 requirement persists even when Gat1 and Gln3 are rendered constitutively nuclear, thus dissociating the intranuclear requirement of PP2A from its partial requirement for rapamycin-induced nuclear Gat1 localization. (iii) Pph21-Myc(13) (Ppp21 tagged at the C terminus with 13 copies of the Myc epitope) weakly associates with the DAL5 promoter in a Gat1-dependent manner, whereas a similar Pph22-Myc(13) association requires both Gln3 and Gat1. Finally, we demonstrate that a pph21Δ pph22Δ double mutant is epistatic to ure2Δ for nuclear Gat1 localization in untreated glutamine-grown cells, whereas for Gln3, just the opposite occurs: i.e., ure2Δ is epistatic to pph21Δ pph22Δ. This final observation adds additional support to our previous conclusion that the Gln3 and Gat1 GATA factor localizations are predominantly controlled by different regulatory pathways.
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Affiliation(s)
- Isabelle Georis
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie, Université Libre de Bruxelles, B1070 Brussels, Belgium, Department of Molecular Sciences, University of Tennessee, Memphis, Tennessee 38163
| | - Jennifer J. Tate
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie, Université Libre de Bruxelles, B1070 Brussels, Belgium, Department of Molecular Sciences, University of Tennessee, Memphis, Tennessee 38163
| | - André Feller
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie, Université Libre de Bruxelles, B1070 Brussels, Belgium, Department of Molecular Sciences, University of Tennessee, Memphis, Tennessee 38163
| | - Terrance G. Cooper
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie, Université Libre de Bruxelles, B1070 Brussels, Belgium, Department of Molecular Sciences, University of Tennessee, Memphis, Tennessee 38163
| | - Evelyne Dubois
- Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie, Université Libre de Bruxelles, B1070 Brussels, Belgium, Department of Molecular Sciences, University of Tennessee, Memphis, Tennessee 38163
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Todorova TT, Kujumdzieva AV, Vuilleumier S. Non-enzymatic roles for the URE2 glutathione S-transferase in the response of Saccharomyces cerevisiae to arsenic. Arch Microbiol 2010; 192:909-18. [PMID: 20740275 DOI: 10.1007/s00203-010-0614-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2010] [Revised: 06/30/2010] [Accepted: 08/02/2010] [Indexed: 12/01/2022]
Abstract
The response of Saccharomyces cerevisiae to arsenic involves a large ensemble of genes, many of which are associated with glutathione-related metabolism. The role of the glutathione S-transferase (GST) product of the URE2 gene involved in resistance of S. cerevisiae to a broad range of heavy metals was investigated. Glutathione peroxidase activity, previously reported for the Ure2p protein, was unaffected in cell-free extracts of an ure2Δ mutant of S. cerevisiae. Glutathione levels in the ure2Δ mutant were lowered about threefold compared to the isogenic wild-type strain but, as in the wild-type strain, increased 2-2.5-fold upon addition of either arsenate (As(V)) or arsenite (As(III)). However, lack of URE2 specifically caused sensitivity to arsenite but not to arsenate. The protective role of URE2 against arsenite depended solely on the GST-encoding 3'-end portion of the gene. The nitrogen source used for growth was suggested to be an important determinant of arsenite toxicity, in keeping with non-enzymatic roles of the URE2 gene product in GATA-type regulation.
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Affiliation(s)
- Tatina T Todorova
- Faculty of Biology, Department of General and Applied Microbiology, Sofia University St. Kliment Ohridski, 1164, Sofia, Bulgaria
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Tate JJ, Georis I, Dubois E, Cooper TG. Distinct phosphatase requirements and GATA factor responses to nitrogen catabolite repression and rapamycin treatment in Saccharomyces cerevisiae. J Biol Chem 2010; 285:17880-95. [PMID: 20378536 PMCID: PMC2878551 DOI: 10.1074/jbc.m109.085712] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2009] [Revised: 03/09/2010] [Indexed: 12/21/2022] Open
Abstract
In yeast, rapamycin (Rap)-inhibited TorC1, and the phosphatases it regulates (Sit4 and PP2A) are components of a conserved pathway regulating the response of eukaryotic cells to nutrient availability. TorC1 and intracellular nitrogen levels regulate the localization of Gln3 and Gat1, the activators of nitrogen catabolite repression (NCR)-sensitive genes whose products are required to utilize poor nitrogen sources. In nitrogen excess, Gln3 and Gat1 are cytoplasmic, and NCR-sensitive transcription is repressed. During nitrogen limitation or Rap treatment, Gln3 and Gat1 are nuclear, and transcription is derepressed. We previously demonstrated that the Sit4 and Pph21/22-Tpd3-Cdc55/Rts1 requirements for nuclear Gln3 localization differ. We now show that Sit4 and Pph21/22-Tpd3-Cdc55/Rts1 requirements for NCR-sensitive and Rap-induced nuclear Gat1 localization markedly differ from those of Gln3. Our data suggest that Gln3 and Gat1 localizations are controlled by two different regulatory pathways. Gln3 localization predominantly responds to intracellular nitrogen levels, as reflected by its stronger NCR-sensitivity, weaker response to Rap treatment, and strong response to methionine sulfoximine (Msx, a glutamine synthetase inhibitor). In contrast, Gat1 localization predominantly responds to TorC1 regulation as reflected by its weaker NCR sensitivity, stronger response to Rap, and immunity to the effects of Msx. Nuclear Gln3 localization in proline-grown (nitrogen limited) cells exhibits no requirement for Pph21/22-Tpd3/Cdc55, whereas nuclear Gat1 localization under these conditions is absolutely dependent on Pph21/22-Tpd3/Cdc55. Furthermore, the extent to which Pph21/22-Tpd3-Cdc55 is required for the TorC1 pathway (Rap) to induce nuclear Gat1 localization is regulated in parallel with Pph21/22-Tpd3-Cdc55-dependent Gln3 dephosphorylation and NCR-sensitive transcription, being highest in limiting nitrogen and lowest when nitrogen is in excess.
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Affiliation(s)
- Jennifer J. Tate
- From the Department of Molecular Sciences, University of Tennessee, Memphis, Tennessee 38163 and
| | - Isabelle Georis
- the Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie, Université Libre de Bruxelles, B1070 Brussels, Belgium
| | - Evelyne Dubois
- the Institut de Recherches Microbiologiques J.-M. Wiame, Laboratoire de Microbiologie, Université Libre de Bruxelles, B1070 Brussels, Belgium
| | - Terrance G. Cooper
- From the Department of Molecular Sciences, University of Tennessee, Memphis, Tennessee 38163 and
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Abstract
The success of Candida albicans as a major human fungal pathogen is dependent on its ability to colonize and survive as a commensal on diverse mucosal surfaces. One trait required for survival and virulence in the host is the morphogenetic yeast-to-hypha transition. Mds3 was identified as a regulator of pH-dependent morphogenesis that functions in parallel with the classic Rim101 pH-sensing pathway. Microarray analyses revealed that mds3 Delta/Delta cells had an expression profile indicative of a hyperactive TOR pathway, including the preferential expression of genes encoding ribosomal proteins and a decreased expression of genes involved in nitrogen source utilization. The transcriptional and morphological defects of the mds3 Delta/Delta mutant were rescued by rapamycin, an inhibitor of TOR, and this rescue was lost in strains carrying the rapamycin-resistant TOR1-1 allele or an rbp1 Delta/Delta deletion. Rapamycin also rescued the transcriptional and morphological defects associated with the loss of Sit4, a TOR pathway effector, but not the loss of Rim101 or Ras1. The sit4 Delta/Delta and mds3 Delta/Delta mutants had additional phenotypic similarities, suggesting that Sit4 and Mds3 function similarly in the TOR pathway. Finally, we found that Mds3 and Sit4 coimmunoprecipitate. Thus, Mds3 is a new member of the TOR pathway that contributes to morphogenesis in C. albicans as a regulator of this key morphogenetic pathway.
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Todorova TT, Petrova VY, Vuilleumier S, Kujumdzieva AV. Response to different oxidants of Saccharomyces cerevisiae ure2Delta mutant. Arch Microbiol 2009; 191:837-45. [PMID: 19777209 DOI: 10.1007/s00203-009-0512-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2009] [Revised: 07/09/2009] [Accepted: 09/07/2009] [Indexed: 01/18/2023]
Abstract
Growth of Saccharomyces cerevisiae ure2Delta mutant strain was investigated in the presence of diverse oxidant compounds. The inability of the strain to grow on a medium supplemented with H(2)O(2) was confirmed and a relationship between diminishing levels of glutathione (GSH) and peroxide sensitivity was established. Data for the lack of significant effect of URE2 disruption on the cellular growth in the presence of paraquat and menadione were obtained. The possible role of Ure2p in acquiring sensitivity to oxidative stress by means of its regulatory role in the GATA signal transduction pathway was discussed. It was suggested that the susceptibility of ure2Delta mutant to the exogenous hydrogen peroxide can result from increased GSH degradation due to the deregulated localization of the gamma-glutamyl transpeptidase activating factors Gln3/Gat1. The important role of Ure2p in in vivo glutathione-mediated reactive oxygen species (ROS) scavenging was shown by measuring the activity of antioxidant enzymes glutathione peroxidase, superoxide dismutase (SOD) and catalase in an URE2 disrupted strain. A time-dependent increase in SOD and catalase activity was observed. More importantly, it was shown that the ure2 mutation could cause significant disturbance in cellular oxidant balance and increased ROS level.
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Affiliation(s)
- Tatina T Todorova
- University of Strasbourg UMR 7156 CNRS, 28 rue Goethe, 67083 Strasbourg Cedex, France
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The yeast GATA factor Gat1 occupies a central position in nitrogen catabolite repression-sensitive gene activation. Mol Cell Biol 2009; 29:3803-15. [PMID: 19380492 DOI: 10.1128/mcb.00399-09] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Saccharomyces cerevisiae cells are able to adapt their metabolism according to the quality of the nitrogen sources available in the environment. Nitrogen catabolite repression (NCR) restrains the yeast's capacity to use poor nitrogen sources when rich ones are available. NCR-sensitive expression is modulated by the synchronized action of four DNA-binding GATA factors. Although the first identified GATA factor, Gln3, was considered the major activator of NCR-sensitive gene expression, our work positions Gat1 as a key factor for the integrated control of NCR in yeast for the following reasons: (i) Gat1 appeared to be the limiting factor for NCR gene expression, (ii) GAT1 expression was regulated by the four GATA factors in response to nitrogen availability, (iii) the two negative GATA factors Dal80 and Gzf3 interfered with Gat1 binding to DNA, and (iv) Gln3 binding to some NCR promoters required Gat1. Our study also provides mechanistic insights into the mode of action of the two negative GATA factors. Gzf3 interfered with Gat1 by nuclear sequestration and by competition at its own promoter. Dal80-dependent repression of NCR-sensitive gene expression occurred at three possible levels: Dal80 represses GAT1 expression, it competes with Gat1 for binding, and it directly represses NCR gene transcription.
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