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Gaizer T, Juhász J, Pillér B, Szakadáti H, Pongor CI, Csikász-Nagy A. Integrative analysis of yeast colony growth. Commun Biol 2024; 7:511. [PMID: 38684888 PMCID: PMC11058853 DOI: 10.1038/s42003-024-06218-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 04/18/2024] [Indexed: 05/02/2024] Open
Abstract
Yeast colonies are routinely grown on agar plates in everyday experimental settings to understand basic molecular processes, produce novel drugs, improve health, and so on. Standardized conditions ensure these colonies grow in a reproducible fashion, while in nature microbes are under a constantly changing environment. Here we combine the power of computational simulations and laboratory experiments to investigate the impact of non-standard environmental factors on colony growth. We present the developement and parameterization of a quantitative agent-based model for yeast colony growth to reproduce measurements on colony size and cell number in a colony at non-standard environmental conditions. Specifically, we establish experimental conditions that mimic the effects of humidity changes and nutrient gradients. Our results show how colony growth is affected by moisture changes, nutrient availability, and initial colony inoculation conditions. We show that initial colony spread, not initial cell number have higher impact on the final size and cell number of colonies. Parameters of the model were identified by fitting these experiments and the fitted model gives guidance to establish conditions which enable unlimited growth of yeast colonies.
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Affiliation(s)
- Tünde Gaizer
- Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary
| | - János Juhász
- Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary
- Semmelweis University, Institute of Medical Microbiology, Budapest, Hungary
| | - Bíborka Pillér
- Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary
| | - Helga Szakadáti
- Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary
| | - Csaba I Pongor
- Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary
| | - Attila Csikász-Nagy
- Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest, Hungary.
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Kamrad S, Correia-Melo C, Szyrwiel L, Aulakh SK, Bähler J, Demichev V, Mülleder M, Ralser M. Metabolic heterogeneity and cross-feeding within isogenic yeast populations captured by DILAC. Nat Microbiol 2023; 8:441-454. [PMID: 36797484 PMCID: PMC9981460 DOI: 10.1038/s41564-022-01304-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 12/13/2022] [Indexed: 02/18/2023]
Abstract
Genetically identical cells are known to differ in many physiological parameters such as growth rate and drug tolerance. Metabolic specialization is believed to be a cause of such phenotypic heterogeneity, but detection of metabolically divergent subpopulations remains technically challenging. We developed a proteomics-based technology, termed differential isotope labelling by amino acids (DILAC), that can detect producer and consumer subpopulations of a particular amino acid within an isogenic cell population by monitoring peptides with multiple occurrences of the amino acid. We reveal that young, morphologically undifferentiated yeast colonies contain subpopulations of lysine producers and consumers that emerge due to nutrient gradients. Deconvoluting their proteomes using DILAC, we find evidence for in situ cross-feeding where rapidly growing cells ferment and provide the more slowly growing, respiring cells with ethanol. Finally, by combining DILAC with fluorescence-activated cell sorting, we show that the metabolic subpopulations diverge phenotypically, as exemplified by a different tolerance to the antifungal drug amphotericin B. Overall, DILAC captures previously unnoticed metabolic heterogeneity and provides experimental evidence for the role of metabolic specialization and cross-feeding interactions as a source of phenotypic heterogeneity in isogenic cell populations.
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Affiliation(s)
- Stephan Kamrad
- Department of Biochemistry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK
| | - Clara Correia-Melo
- Department of Biochemistry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK
| | - Lukasz Szyrwiel
- Department of Biochemistry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Simran Kaur Aulakh
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK
| | - Jürg Bähler
- Institute of Healthy Ageing and Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Vadim Demichev
- Department of Biochemistry, Charité Universitätsmedizin Berlin, Berlin, Germany
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK
| | - Michael Mülleder
- Core Facility-High-Throughput Mass Spectrometry, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Markus Ralser
- Department of Biochemistry, Charité Universitätsmedizin Berlin, Berlin, Germany.
- Molecular Biology of Metabolism Laboratory, The Francis Crick Institute, London, UK.
- The Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Max Planck Institute for Molecular Genetics, Berlin, Germany.
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Impaired amino acid uptake leads to global metabolic imbalance of Candida albicans biofilms. NPJ Biofilms Microbiomes 2022; 8:78. [PMID: 36224215 PMCID: PMC9556537 DOI: 10.1038/s41522-022-00341-9] [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: 01/24/2022] [Accepted: 09/23/2022] [Indexed: 12/01/2022] Open
Abstract
Candida albicans biofilm maturation is accompanied by enhanced expression of amino acid acquisition genes. Three state-of-the-art omics techniques were applied to detail the importance of active amino acid uptake during biofilm development. Comparative analyses of normoxic wild-type biofilms were performed under three metabolically challenging conditions: aging, hypoxia, and disabled amino acid uptake using a strain lacking the regulator of amino acid permeases Stp2. Aging-induced amino acid acquisition and stress responses to withstand the increasingly restricted environment. Hypoxia paralyzed overall energy metabolism with delayed amino acid consumption, but following prolonged adaptation, the metabolic fingerprints aligned with aged normoxic biofilms. The extracellular metabolome of stp2Δ biofilms revealed deficient uptake for 11 amino acids, resulting in extensive transcriptional and metabolic changes including induction of amino acid biosynthesis and carbohydrate and micronutrient uptake. Altogether, this study underscores the critical importance of a balanced amino acid homeostasis for C. albicans biofilm development.
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Palková Z, Váchová L. Spatially structured yeast communities: Understanding structure formation and regulation with omics tools. Comput Struct Biotechnol J 2021; 19:5613-5621. [PMID: 34712401 PMCID: PMC8529026 DOI: 10.1016/j.csbj.2021.10.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 10/06/2021] [Accepted: 10/06/2021] [Indexed: 01/08/2023] Open
Abstract
Single-celled yeasts form spatially structured populations - colonies and biofilms, either alone (single-species biofilms) or in cooperation with other microorganisms (mixed-species biofilms). Within populations, yeast cells develop in a coordinated manner, interact with each other and differentiate into specialized cell subpopulations that can better adapt to changing conditions (e.g. by reprogramming metabolism during nutrient deficiency) or protect the overall population from external influences (e.g. via extracellular matrix). Various omics tools together with specialized techniques for separating differentiated cells and in situ microscopy have revealed important processes and cell interactions in these structures, which are summarized here. Nevertheless, current knowledge is still only a small part of the mosaic of complexity and diversity of the multicellular structures that yeasts form in different environments. Future challenges include the use of integrated multi-omics approaches and a greater emphasis on the analysis of differentiated cell subpopulations with specific functions.
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Affiliation(s)
- Zdena Palková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 12800 Prague, Czech Republic
| | - Libuše Váchová
- Institute of Microbiology of the Czech Academy of Sciences, BIOCEV, 14220 Prague, Czech Republic
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Sytar O, Kotta K, Valasiadis D, Kosyan A, Brestic M, Koidou V, Papadopoulou E, Kroustalaki M, Emmanouilidou C, Pashalidis A, Avdikos I, Hilioti Z. The Effects of Photosensitizing Dyes Fagopyrin and Hypericin on Planktonic Growth and Multicellular Life in Budding Yeast. Molecules 2021; 26:molecules26164708. [PMID: 34443298 PMCID: PMC8398373 DOI: 10.3390/molecules26164708] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 11/25/2022] Open
Abstract
Naphthodianthrones such as fagopyrin and hypericin found mainly in buckwheat (Fagopyrum spp.) and St. John’s wort (SJW) (Hypericum perforatum L.) are natural photosensitizers inside the cell. The effect of photosensitizers was studied under dark conditions on growth, morphogenesis and induction of death in Saccharomyces cerevisiae. Fagopyrin and hypericin induced a biphasic and triphasic dose response in cellular growth, respectively, over a 10-fold concentration change. In fagopyrin-treated cells, disruptions in the normal cell cycle progression were evident by microscopy. DAPI staining revealed several cells that underwent premature mitosis without budding, a striking morphological abnormality. Flow Cytometric (FC) analysis using a concentration of 100 µM showed reduced cell viability by 41% in fagopyrin-treated cells and by 15% in hypericin-treated cells. FC revealed the development of a secondary population of G1 cells in photosensitizer-treated cultures characterized by small size and dense structures. Further, we show that fagopyrin and the closely related hypericin altered the shape and the associated fluorescence of biofilm-like structures. Colonies grown on solid medium containing photosensitizer had restricted growth, while cell-to-cell adherence within the colony was also affected. In conclusion, the photosensitizers under dark conditions affected culture growth, caused toxicity, and disrupted multicellular growth, albeit with different efficiencies.
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Affiliation(s)
- Oksana Sytar
- Educational and Scientific Center “Institute of Biology and Medicine”, Department of Plant Biology, Taras Shevchenko National University of Kyiv, Volodymyrskya str., 64, 01033 Kyiv, Ukraine; (O.S.); (A.K.)
- Department of Plant Physiology, Slovak University of Agriculture in Nitra, A. Hlinku 2, 949 01 Nitra, Slovakia;
| | - Konstantia Kotta
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Dimitrios Valasiadis
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Anatoliy Kosyan
- Educational and Scientific Center “Institute of Biology and Medicine”, Department of Plant Biology, Taras Shevchenko National University of Kyiv, Volodymyrskya str., 64, 01033 Kyiv, Ukraine; (O.S.); (A.K.)
| | - Marian Brestic
- Department of Plant Physiology, Slovak University of Agriculture in Nitra, A. Hlinku 2, 949 01 Nitra, Slovakia;
| | - Venetia Koidou
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Eleftheria Papadopoulou
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Maria Kroustalaki
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Christina Emmanouilidou
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Alexandros Pashalidis
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Ilias Avdikos
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
| | - Zoe Hilioti
- Institute of Applied Biosciences, Centre for Research & Technology Hellas, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece; (K.K.); (D.V.); (V.K.); (E.P.); (M.K.); (C.E.); (A.P.); (I.A.)
- Correspondence: ; Tel.: +30-23-1049-8273
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Quantifying the Biophysical Impact of Budding Cell Division on the Spatial Organization of Growing Yeast Colonies. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10175780] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Spatial patterns in microbial colonies are the consequence of cell-division dynamics coupled with cell-cell interactions on a physical media. Agent-based models (ABMs) are a powerful tool for understanding the emergence of large scale structure from these individual cell processes. However, most ABMs have focused on fission, a process by which cells split symmetrically into two daughters. The yeast, Saccharomyces cerevisiae, is a model eukaryote which commonly undergoes an asymmetric division process called budding. The resulting mother and daughter cells have unequal sizes and the daughter cell does not inherit the replicative age of the mother. In this work, we develop and analyze an ABM to study the impact of budding cell division and nutrient limitation on yeast colony structure. We find that while budding division does not impact large-scale properties of the colony (such as shape and size), local spatial organization of cells with respect to spatial layout of mother-daughter cell pairs and connectivity of subcolonies is greatly impacted. In addition, we find that nutrient limitation further promotes local spatial organization of cells and changes global colony organization by driving variation in subcolony sizes. Moreover, resulting differences in spatial organization, coupled with differential growth rates from nutrient limitation, create distinct sectoring patterns within growing yeast colonies. Our findings offer novel insights into mechanisms driving experimentally observed sectored yeast colony phenotypes. Furthermore, our work illustrates the need to include relevant biophysical mechanisms when using ABMs to compare to experimental studies.
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