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Čáp M, Palková Z. Non-Coding RNAs: Regulators of Stress, Ageing, and Developmental Decisions in Yeast? Cells 2024; 13:599. [PMID: 38607038 PMCID: PMC11012152 DOI: 10.3390/cells13070599] [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: 02/15/2024] [Revised: 03/19/2024] [Accepted: 03/27/2024] [Indexed: 04/13/2024] Open
Abstract
Cells must change their properties in order to adapt to a constantly changing environment. Most of the cellular sensing and regulatory mechanisms described so far are based on proteins that serve as sensors, signal transducers, and effectors of signalling pathways, resulting in altered cell physiology. In recent years, however, remarkable examples of the critical role of non-coding RNAs in some of these regulatory pathways have been described in various organisms. In this review, we focus on all classes of non-coding RNAs that play regulatory roles during stress response, starvation, and ageing in different yeast species as well as in structured yeast populations. Such regulation can occur, for example, by modulating the amount and functional state of tRNAs, rRNAs, or snRNAs that are directly involved in the processes of translation and splicing. In addition, long non-coding RNAs and microRNA-like molecules are bona fide regulators of the expression of their target genes. Non-coding RNAs thus represent an additional level of cellular regulation that is gradually being uncovered.
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Affiliation(s)
- Michal Čáp
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 128 00 Prague, Czech Republic
| | - Zdena Palková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 128 00 Prague, Czech Republic
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2
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Kulkarni M, Hardwick JM. Programmed Cell Death in Unicellular Versus Multicellular Organisms. Annu Rev Genet 2023; 57:435-459. [PMID: 37722687 DOI: 10.1146/annurev-genet-033123-095833] [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] [Indexed: 09/20/2023]
Abstract
Programmed cell death (self-induced) is intrinsic to all cellular life forms, including unicellular organisms. However, cell death research has focused on animal models to understand cancer, degenerative disorders, and developmental processes. Recently delineated suicidal death mechanisms in bacteria and fungi have revealed ancient origins of animal cell death that are intertwined with immune mechanisms, allaying earlier doubts that self-inflicted cell death pathways exist in microorganisms. Approximately 20 mammalian death pathways have been partially characterized over the last 35 years. By contrast, more than 100 death mechanisms have been identified in bacteria and a few fungi in recent years. However, cell death is nearly unstudied in most human pathogenic microbes that cause major public health burdens. Here, we consider how the current understanding of programmed cell death arose through animal studies and how recently uncovered microbial cell death mechanisms in fungi and bacteria resemble and differ from mechanisms of mammalian cell death.
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Affiliation(s)
- Madhura Kulkarni
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; ,
| | - J Marie Hardwick
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA; ,
- Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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3
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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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4
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Piccirillo S, Morgan AP, Leon AY, Smith AL, Honigberg SM. Investigating cell autonomy in microorganisms. Curr Genet 2022; 68:305-318. [PMID: 35119506 PMCID: PMC9101301 DOI: 10.1007/s00294-022-01231-5] [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: 11/08/2021] [Revised: 01/04/2022] [Accepted: 01/18/2022] [Indexed: 11/28/2022]
Abstract
Cell-cell signaling in microorganisms is still poorly characterized. In this Methods paper, we describe a genetic procedure for detecting cell-nonautonomous genetic effects, and in particular cell-cell signaling, termed the chimeric colony assay (CCA). The CCA measures the effect of a gene on a biological response in a neighboring cell. This assay can measure cell autonomy for range of biological activities including transcript or protein accumulation, subcellular localization, and cell differentiation. To date, the CCA has been used exclusively to investigate colony patterning in the budding yeast Saccharomyces cerevisiae. To demonstrate the wider potential of the assay, we applied this assay to two other systems: the effect of Grr1 on glucose repression of GAL1 transcription in yeast and the effect of rpsL on stop-codon translational readthrough in Escherichia coli. We also describe variations of the standard CCA that address specific aspects of cell-cell signaling, and we delineate essential controls for this assay. Finally, we discuss complementary approaches to the CCA. Taken together, this Methods paper demonstrates how genetic assays can reveal and explore the roles of cell-cell signaling in microbial processes.
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Affiliation(s)
- Sarah Piccirillo
- Department of Genetics, Developmental and Evolutionary Biology, School of Biological and Chemical Sciences, University of Missouri-Kansas City, 5100 Rockhill Rd., Kansas City, MO 64110, USA
| | - Andrew P. Morgan
- Department of Genetics, Developmental and Evolutionary Biology, School of Biological and Chemical Sciences, University of Missouri-Kansas City, 5100 Rockhill Rd., Kansas City, MO 64110, USA
| | - Andy Y. Leon
- Department of Genetics, Developmental and Evolutionary Biology, School of Biological and Chemical Sciences, University of Missouri-Kansas City, 5100 Rockhill Rd., Kansas City, MO 64110, USA
| | - Annika L. Smith
- Department of Genetics, Developmental and Evolutionary Biology, School of Biological and Chemical Sciences, University of Missouri-Kansas City, 5100 Rockhill Rd., Kansas City, MO 64110, USA
| | - Saul M. Honigberg
- Department of Genetics, Developmental and Evolutionary Biology, School of Biological and Chemical Sciences, University of Missouri-Kansas City, 5100 Rockhill Rd., Kansas City, MO 64110, USA
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5
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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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Cherkasova V, Iben JR, Pridham KJ, Kessler AC, Maraia RJ. The leucine-NH4+ uptake regulator Any1 limits growth as part of a general amino acid control response to loss of La protein by fission yeast. PLoS One 2021; 16:e0253494. [PMID: 34153074 PMCID: PMC8216550 DOI: 10.1371/journal.pone.0253494] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 06/04/2021] [Indexed: 11/19/2022] Open
Abstract
The sla1+ gene of Schizosachharoymces pombe encodes La protein which promotes proper processing of precursor-tRNAs. Deletion of sla1 (sla1Δ) leads to disrupted tRNA processing and sensitivity to target of rapamycin (TOR) inhibition. Consistent with this, media containing NH4+ inhibits leucine uptake and growth of sla1Δ cells. Here, transcriptome analysis reveals that genes upregulated in sla1Δ cells exhibit highly significant overalp with general amino acid control (GAAC) genes in relevant transcriptomes from other studies. Growth in NH4+ media leads to additional induced genes that are part of a core environmental stress response (CESR). The sla1Δ GAAC response adds to evidence linking tRNA homeostasis and broad signaling in S. pombe. We provide evidence that deletion of the Rrp6 subunit of the nuclear exosome selectively dampens a subset of GAAC genes in sla1Δ cells suggesting that nuclear surveillance-mediated signaling occurs in S. pombe. To study the NH4+-effects, we isolated sla1Δ spontaneous revertants (SSR) of the slow growth phenotype and found that GAAC gene expression and rapamycin hypersensitivity were also reversed. Genome sequencing identified a F32V substitution in Any1, a known negative regulator of NH4+-sensitive leucine uptake linked to TOR. We show that 3H-leucine uptake by SSR-any1-F32V cells in NH4+-media is more robust than by sla1Δ cells. Moreover, F32V may alter any1+ function in sla1Δ vs. sla1+ cells in a distinctive way. Thus deletion of La, a tRNA processing factor leads to a GAAC response involving reprogramming of amino acid metabolism, and isolation of the any1-F32V rescuing mutant provides an additional specific link.
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Affiliation(s)
- Vera Cherkasova
- Kelly@DeWitt, Inc, National Library of Medicine, National Institutes of Health, Bethesda, MD, United States of America
| | - James R. Iben
- Molecular Genomics Core, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, United States of America
| | - Kevin J. Pridham
- Fralin Biomedical Research Institute at Virginia Tech, Roanoke, VA, United States of America
| | - Alan C. Kessler
- Section on Molecular and Cell Biology, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD United States of America
| | - Richard J. Maraia
- Section on Molecular and Cell Biology, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD United States of America
- * E-mail:
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7
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Plocek V, Fadrhonc K, Maršíková J, Váchová L, Pokorná A, Hlaváček O, Wilkinson D, Palková Z. Mitochondrial Retrograde Signaling Contributes to Metabolic Differentiation in Yeast Colonies. Int J Mol Sci 2021; 22:ijms22115597. [PMID: 34070491 PMCID: PMC8198273 DOI: 10.3390/ijms22115597] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 05/19/2021] [Accepted: 05/21/2021] [Indexed: 12/16/2022] Open
Abstract
During development of yeast colonies, various cell subpopulations form, which differ in their properties and specifically localize within the structure. Three branches of mitochondrial retrograde (RTG) signaling play a role in colony development and differentiation, each of them activating the production of specific markers in different cell types. Here, aiming to identify proteins and processes controlled by the RTG pathway, we analyzed proteomes of individual cell subpopulations from colonies of strains, mutated in genes of the RTG pathway. Resulting data, along with microscopic analyses revealed that the RTG pathway predominantly regulates processes in U cells, long-lived cells with unique properties, which are localized in upper colony regions. Rtg proteins therein activate processes leading to amino acid biosynthesis, including transport of metabolic intermediates between compartments, but also repress expression of mitochondrial ribosome components, thus possibly contributing to reduced mitochondrial translation in U cells. The results reveal the RTG pathway's role in activating metabolic processes, important in U cell adaptation to altered nutritional conditions. They also point to the important role of Rtg regulators in repressing mitochondrial activity in U cells.
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Affiliation(s)
- Vítězslav Plocek
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 12800 Prague, Czech Republic; (V.P.); (K.F.); (J.M.); (D.W.)
| | - Kristýna Fadrhonc
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 12800 Prague, Czech Republic; (V.P.); (K.F.); (J.M.); (D.W.)
| | - Jana Maršíková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 12800 Prague, Czech Republic; (V.P.); (K.F.); (J.M.); (D.W.)
| | - Libuše Váchová
- Institute of Microbiology of the Czech Academy of Sciences, BIOCEV, 14220 Prague, Czech Republic; (L.V.); (A.P.); (O.H.)
| | - Alexandra Pokorná
- Institute of Microbiology of the Czech Academy of Sciences, BIOCEV, 14220 Prague, Czech Republic; (L.V.); (A.P.); (O.H.)
| | - Otakar Hlaváček
- Institute of Microbiology of the Czech Academy of Sciences, BIOCEV, 14220 Prague, Czech Republic; (L.V.); (A.P.); (O.H.)
| | - Derek Wilkinson
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 12800 Prague, Czech Republic; (V.P.); (K.F.); (J.M.); (D.W.)
| | - Zdena Palková
- Department of Genetics and Microbiology, Faculty of Science, Charles University, BIOCEV, 12800 Prague, Czech Republic; (V.P.); (K.F.); (J.M.); (D.W.)
- Correspondence:
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8
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Gulli J, Cook E, Kroll E, Rosebrock A, Caudy A, Rosenzweig F. Diverse conditions support near-zero growth in yeast: Implications for the study of cell lifespan. MICROBIAL CELL 2019; 6:397-413. [PMID: 31528631 PMCID: PMC6717879 DOI: 10.15698/mic2019.09.690] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Baker's yeast has a finite lifespan and ages in two ways: a mother cell can only divide so many times (its replicative lifespan), and a non-dividing cell can only live so long (its chronological lifespan). Wild and laboratory yeast strains exhibit natural variation for each type of lifespan, and the genetic basis for this variation has been generalized to other eukaryotes, including metazoans. To date, yeast chronological lifespan has chiefly been studied in relation to the rate and mode of functional decline among non-dividing cells in nutrient-depleted batch culture. However, this culture method does not accurately capture two major classes of long-lived metazoan cells: cells that are terminally differentiated and metabolically active for periods that approximate animal lifespan (e.g. cardiac myocytes), and cells that are pluripotent and metabolically quiescent (e.g. stem cells). Here, we consider alternative ways of cultivating Saccharomyces cerevisiae so that these different metabolic states can be explored in non-dividing cells: (i) yeast cultured as giant colonies on semi-solid agar, (ii) yeast cultured in retentostats and provided sufficient nutrients to meet minimal energy requirements, and (iii) yeast encapsulated in a semisolid matrix and fed ad libitum in bioreactors. We review the physiology of yeast cultured under each of these conditions, and explore their potential to provide unique insights into determinants of chronological lifespan in the cells of higher eukaryotes.
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Affiliation(s)
- Jordan Gulli
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332
| | - Emily Cook
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332
| | - Eugene Kroll
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332
| | - Adam Rosebrock
- Donnelly Centre for Cellular and Biological Research and Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.,Present address: Stony Brook School of Medicine, Stony Brook University, Stony Brook, NY 11794
| | - Amy Caudy
- Donnelly Centre for Cellular and Biological Research and Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Frank Rosenzweig
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332
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9
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Váchová L, Palková Z. How structured yeast multicellular communities live, age and die? FEMS Yeast Res 2019; 18:4950397. [PMID: 29718174 DOI: 10.1093/femsyr/foy033] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 03/20/2018] [Indexed: 12/28/2022] Open
Abstract
Yeasts, like other microorganisms, create numerous types of multicellular communities, which differ in their complexity, cell differentiation and in the occupation of different niches. Some of the communities, such as colonies and some types of biofilms, develop by division and subsequent differentiation of cells growing on semisolid or solid surfaces to which they are attached or which they can penetrate. Aggregation of individual cells is important for formation of other community types, such as multicellular flocs, which sediment to the bottom or float to the surface of liquid cultures forming flor biofilms, organized at the border between liquid and air under specific circumstances. These examples together with the existence of more obscure communities, such as stalks, demonstrate that multicellularity is widespread in yeast. Despite this fact, identification of mechanisms and regulations involved in complex multicellular behavior still remains one of the challenges of microbiology. Here, we briefly discuss metabolic differences between particular yeast communities as well as the presence and functions of various differentiated cells and provide examples of the ability of these cells to develop different ways to cope with stress during community development and aging.
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Affiliation(s)
- Libuše Váchová
- Institute of Microbiology of the Czech Academy of Sciences, BIOCEV, 252 50 Vestec, Czech Republic
| | - Zdena Palková
- Faculty of Science, Charles University, BIOCEV, 252 50 Vestec, Czech Republic
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10
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Lohr JN, Galimov ER, Gems D. Does senescence promote fitness in Caenorhabditis elegans by causing death? Ageing Res Rev 2019; 50:58-71. [PMID: 30639341 PMCID: PMC6520499 DOI: 10.1016/j.arr.2019.01.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Revised: 01/03/2019] [Accepted: 01/08/2019] [Indexed: 12/14/2022]
Abstract
A widely appreciated conclusion from evolutionary theory is that senescence (aging) is of no adaptive value to the individual that it afflicts. Yet studies of Caenorhabditis elegans and Saccharomyces cerevisiae are increasingly revealing the presence of processes which actively cause senescence and death, leading some biogerontologists to wonder about the established theory. Here we argue that programmed death that increases fitness could occur in C. elegans and S. cerevisiae, and that this is consistent with the classic evolutionary theory of aging. This is because of the special conditions under which these organisms have evolved, particularly the existence of clonal populations with limited dispersal and, in the case of C. elegans, the brevity of the reproductive period caused by protandrous hermaphroditism. Under these conditions, death-promoting mechanisms could promote worm fitness by enhancing inclusive fitness, or worm colony fitness through group selection. Such altruistic, adaptive death is not expected to evolve in organisms with outbred, dispersed populations (e.g. most vertebrate species). The plausibility of adaptive death in C. elegans is supported by computer modelling studies, and new knowledge about the ecology of this species. To support these arguments we also review the biology of adaptive death, and distinguish three forms: consumer sacrifice, biomass sacrifice and defensive sacrifice.
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Affiliation(s)
- Jennifer N Lohr
- Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - Evgeniy R Galimov
- Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - David Gems
- Institute of Healthy Ageing, and Research Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK.
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11
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Kulkarni M, Stolp ZD, Hardwick JM. Targeting intrinsic cell death pathways to control fungal pathogens. Biochem Pharmacol 2019; 162:71-78. [PMID: 30660496 DOI: 10.1016/j.bcp.2019.01.012] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 01/11/2019] [Indexed: 02/07/2023]
Abstract
Fungal pathogens pose an increasing threat to public health. Limited clinical drug regimens and emerging drug-resistant isolates challenge infection control. The global burden of human fungal pathogens is estimated at 1 billion infections and 1.5 million deaths annually. In addition, plant fungal pathogens increasingly threaten global food resources. Novel strategies are needed to combat emerging fungal diseases and pan-resistant fungi. An untapped mechanistically novel approach is to pharmacologically activate the intrinsic cell death pathways encoded by pathogenic fungi. This strategy is analogous to new anti-cancer therapeutics now entering the clinic. Here we summarize the best understood examples of cell death mechanisms encoded by pathogenic fungi, contrast these to mammalian cell death pathways, and highlight the gaps in knowledge towards identifying potential death effectors as druggable targets.
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Affiliation(s)
- Madhura Kulkarni
- Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, USA
| | - Zachary D Stolp
- Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, USA
| | - J Marie Hardwick
- Department of Molecular Microbiology and Immunology, Johns Hopkins University Bloomberg School of Public Health, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, USA.
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12
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Long Noncoding RNAs in Yeast Cells and Differentiated Subpopulations of Yeast Colonies and Biofilms. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2018; 2018:4950591. [PMID: 29765496 PMCID: PMC5889882 DOI: 10.1155/2018/4950591] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 02/07/2018] [Indexed: 02/02/2023]
Abstract
We summarize current knowledge regarding regulatory functions of long noncoding RNAs (lncRNAs) in yeast, with emphasis on lncRNAs identified recently in yeast colonies and biofilms. Potential regulatory functions of these lncRNAs in differentiated cells of domesticated colonies adapted to plentiful conditions versus yeast colony biofilms are discussed. We show that specific cell types differ in their complements of lncRNA, that this complement changes over time in differentiating upper cells, and that these lncRNAs target diverse functional categories of genes in different cell subpopulations and specific colony types.
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