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Costaguta G, Payne GS, Daboussi L. Live Cell Imaging of Yeast Golgi Dynamics. Methods Mol Biol 2022; 2557:3-15. [PMID: 36512205 DOI: 10.1007/978-1-0716-2639-9_1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Fluorescence imaging of live cells allows for the observation of dynamic processes inside cells in real time. Here we describe a strategy to image clathrin-coated vesicle dynamics in a single focal plane at the trans-Golgi network of the yeast Saccharomyces cerevisiae. This method can be readily adapted for live cell imaging of a diverse set of dynamic processes within cells.
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Affiliation(s)
- Giancarlo Costaguta
- Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Gregory S Payne
- Department of Biological Chemistry, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Lydia Daboussi
- Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
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52
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Powers EN, Chan C, Doron-Mandel E, Llacsahuanga Allcca L, Kim Kim J, Jovanovic M, Brar GA. Bidirectional promoter activity from expression cassettes can drive off-target repression of neighboring gene translation. eLife 2022; 11:e81086. [PMID: 36503721 PMCID: PMC9754628 DOI: 10.7554/elife.81086] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022] Open
Abstract
Targeted selection-based genome-editing approaches have enabled many fundamental discoveries and are used routinely with high precision. We found, however, that replacement of DBP1 with a common selection cassette in budding yeast led to reduced expression and function for the adjacent gene, MRP51, despite all MRP51 coding and regulatory sequences remaining intact. Cassette-induced repression of MRP51 drove all mutant phenotypes detected in cells deleted for DBP1. This behavior resembled the 'neighboring gene effect' (NGE), a phenomenon of unknown mechanism whereby cassette insertion at one locus reduces the expression of a neighboring gene. Here, we leveraged strong off-target mutant phenotypes resulting from cassette replacement of DBP1 to provide mechanistic insight into the NGE. We found that the inherent bidirectionality of promoters, including those in expression cassettes, drives a divergent transcript that represses MRP51 through combined transcriptional interference and translational repression mediated by production of a long undecoded transcript isoform (LUTI). Divergent transcript production driving this off-target effect is general to yeast expression cassettes and occurs ubiquitously with insertion. Despite this, off-target effects are often naturally prevented by local sequence features, such as those that terminate divergent transcripts between the site of cassette insertion and the neighboring gene. Thus, cassette-induced off-target effects can be eliminated by the insertion of transcription terminator sequences into the cassette, flanking the promoter. Because the driving features of this off-target effect are broadly conserved, our study suggests it should be considered in the design and interpretation of experiments using integrated expression cassettes in other eukaryotic systems, including human cells.
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Affiliation(s)
- Emily Nicole Powers
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Charlene Chan
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
| | - Ella Doron-Mandel
- Department of Biological Sciences, Columbia UniversityNew YorkUnited States
| | | | - Jenny Kim Kim
- Department of Biological Sciences, Columbia UniversityNew YorkUnited States
| | - Marko Jovanovic
- Department of Biological Sciences, Columbia UniversityNew YorkUnited States
| | - Gloria Ann Brar
- Department of Molecular and Cell Biology, University of California, BerkeleyBerkeleyUnited States
- California Institute for Quantitative Biosciences (QB3), University of California, BerkleyBerkleyUnited States
- Center for Computational Biology, University of California, BerkeleyBerkeleyUnited States
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53
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Fasullo M, Dolan M. The continuing evolution of barcode applications: Functional toxicology to cell lineage. Exp Biol Med (Maywood) 2022; 247:2119-2127. [PMID: 36113119 PMCID: PMC9837303 DOI: 10.1177/15353702221121600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023] Open
Abstract
DNA barcoding is a method to identify biological entities, including individual cells, tissues, organs, or species, by unique DNA sequences. With the advent of next generation sequencing (NGS), there has been an exponential increase in data acquisition pertaining to medical diagnosis, genetics, toxicology, ecology, cancer, and developmental biology. While barcoding first gained wide access in identifying species, signature tagged mutagenesis has been useful in elucidating gene function, particularly in microbes. With the advent of CRISPR/CAS9, methodology to profile eukaryotic genes has made a broad impact in toxicology and cancer biology. Designed homing guide RNAs (hgRNAs) that self-target DNA sequences facilitate cell lineage barcoding by introducing stochastic mutations within cell identifiers. While each of these applications has their limitations, the potential of sequence barcoding has yet to be realized. This review will focus on signature-tagged mutagenesis and briefly discuss the history of barcoding, experimental problems, novel detection methods, and future directions.
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Affiliation(s)
- Michael Fasullo
- College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY 12203, USA
| | - Michael Dolan
- College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, Albany, NY 12203, USA
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54
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Carey SB, List HM, Siby A, Guerra P, Bolger TA. A synthetic genetic array screen for interactions with the RNA helicase DED1 during cell stress in budding yeast. G3 (BETHESDA, MD.) 2022; 13:6835414. [PMID: 36409020 PMCID: PMC9836348 DOI: 10.1093/g3journal/jkac296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/01/2022] [Indexed: 11/23/2022]
Abstract
During cellular stress it is essential for cells to alter their gene expression to adapt and survive. Gene expression is regulated at multiple levels, but translation regulation is both a method for rapid changes to the proteome and, as one of the most energy-intensive cellular processes, a way to efficiently redirect cellular resources during stress conditions. Despite this ideal positioning, many of the specifics of how translation is regulated, positively or negatively, during various types of cellular stress remain poorly understood. To further assess this regulation, we examined the essential translation factor Ded1, an RNA helicase that has been previously shown to play important roles in the translational response to cellular stress. In particular, ded1 mutants display an increased resistance to growth inhibition and translation repression induced by the TOR pathway inhibitor, rapamycin, suggesting that normal stress responses are partially defective in these mutants. To gain further insight into Ded1 translational regulation during stress, synthetic genetic array analysis was conducted in the presence of rapamycin with a ded1 mutant and a library of nonessential genes in Saccharomyces cerevisiae to identify positive and negative genetic interactions in an unbiased manner. Here, we report the results of this screen and subsequent network mapping and Gene Ontology-term analysis. Hundreds of candidate interactions were identified, which fell into expected categories, such as ribosomal proteins and amino acid biosynthesis, as well as unexpected ones, including membrane trafficking, sporulation, and protein glycosylation. Therefore, these results provide several specific directions for further comprehensive studies.
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Affiliation(s)
- Sara B Carey
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Hannah M List
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Ashwin Siby
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Paolo Guerra
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA
| | - Timothy A Bolger
- Corresponding author: Department of Molecular and Cellular Biology, University of Arizona, PO Box 210106, Tucson, AZ 85721, USA.
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55
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Zackin MT, Stieglitz JT, Van Deventer JA. Genome-Wide Screen for Enhanced Noncanonical Amino Acid Incorporation in Yeast. ACS Synth Biol 2022; 11:3669-3680. [PMID: 36346914 PMCID: PMC10065164 DOI: 10.1021/acssynbio.2c00267] [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: 11/09/2022]
Abstract
Numerous applications of noncanonical amino acids (ncAAs) in basic biology and therapeutic development require efficient protein biosynthesis using an expanded genetic code. However, achieving such incorporation at repurposed stop codons in cells is generally inefficient and limited by complex cellular processes that preserve the fidelity of protein synthesis. A more comprehensive understanding of the processes that contribute to ncAA incorporation would aid in the development of genomic engineering strategies for augmenting genetic code manipulation. In this work, we used a series of fluorescent reporters to screen a pooled Saccharomyces cerevisiae molecular barcoded yeast knockout (YKO) collection. Fluorescence-activated cell sorting enabled isolation of strains encoding single-gene deletions exhibiting improved ncAA incorporation efficiency in response to the amber (TAG) stop codon; 55 unique candidate deletions were identified. The deleted genes encoded for proteins that participate in diverse cellular processes, including many genes that have no known connection with protein translation. We then verified that two knockouts, yil014c-aΔ and alo1Δ, exhibited improved ncAA incorporation efficiency starting from independently acquired strains possessing the knockouts. Using additional orthogonal translation systems and ncAAs, we determined that yil014c-aΔ and alo1Δ enhance ncAA incorporation efficiency without loss of fidelity over a wide range of conditions. Our findings highlight opportunities for further modulating gene expression with genetic, genomic, and synthetic biology approaches to improve ncAA incorporation efficiency. In addition, these discoveries have the potential to enhance our fundamental understanding of protein translation. Ultimately, cells that efficiently biosynthesize ncAA-containing proteins will streamline the realization of applications utilizing expanded genetic codes ranging from basic biology to drug discovery.
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Affiliation(s)
- Matthew T. Zackin
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, USA
| | - Jessica T. Stieglitz
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, USA
| | - James A. Van Deventer
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, USA
- Biomedical Engineering Department, Tufts University, Medford, Massachusetts 02155, USA
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56
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Van Oss SB, Parikh SB, Castilho Coelho N, Wacholder A, Belashov I, Zdancewicz S, Michaca M, Xu J, Kang YP, Ward NP, Yoon SJ, McCourt KM, McKee J, Ideker T, VanDemark AP, DeNicola GM, Carvunis AR. On the illusion of auxotrophy: met15Δ yeast cells can grow on inorganic sulfur, thanks to the previously uncharacterized homocysteine synthase Yll058w. J Biol Chem 2022; 298:102697. [PMID: 36379252 PMCID: PMC9763685 DOI: 10.1016/j.jbc.2022.102697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 11/01/2022] [Accepted: 11/05/2022] [Indexed: 11/15/2022] Open
Abstract
Organisms must either synthesize or assimilate essential organic compounds to survive. The homocysteine synthase Met15 has been considered essential for inorganic sulfur assimilation in yeast since its discovery in the 1970s. As a result, MET15 has served as a genetic marker for hundreds of experiments that play a foundational role in eukaryote genetics and systems biology. Nevertheless, we demonstrate here through structural and evolutionary modeling, in vitro kinetic assays, and genetic complementation, that an alternative homocysteine synthase encoded by the previously uncharacterized gene YLL058W enables cells lacking Met15 to assimilate enough inorganic sulfur for survival and proliferation. These cells however fail to grow in patches or liquid cultures unless provided with exogenous methionine or other organosulfurs. We show that this growth failure, which has historically justified the status of MET15 as a classic auxotrophic marker, is largely explained by toxic accumulation of the gas hydrogen sulfide because of a metabolic bottleneck. When patched or cultured with a hydrogen sulfide chelator, and when propagated as colony grids, cells without Met15 assimilate inorganic sulfur and grow, and cells with Met15 achieve even higher yields. Thus, Met15 is not essential for inorganic sulfur assimilation in yeast. Instead, MET15 is the first example of a yeast gene whose loss conditionally prevents growth in a manner that depends on local gas exchange. Our results have broad implications for investigations of sulfur metabolism, including studies of stress response, methionine restriction, and aging. More generally, our findings illustrate how unappreciated experimental variables can obfuscate biological discovery.
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Affiliation(s)
- S. Branden Van Oss
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,Pittsburgh Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Saurin Bipin Parikh
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,Pittsburgh Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Nelson Castilho Coelho
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,Pittsburgh Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Aaron Wacholder
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,Pittsburgh Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Ivan Belashov
- Department of Biological Sciences, University of Pittsburgh, Dietrich School of Arts & Sciences, Pittsburgh, Pennsylvania, USA
| | - Sara Zdancewicz
- Department of Biological Sciences, University of Pittsburgh, Dietrich School of Arts & Sciences, Pittsburgh, Pennsylvania, USA
| | - Manuel Michaca
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,Pittsburgh Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jiazhen Xu
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Yun Pyo Kang
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA
| | - Nathan P. Ward
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA
| | - Sang Jun Yoon
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA
| | - Katherine M. McCourt
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,Pittsburgh Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jake McKee
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Trey Ideker
- Departments of Medicine, Bioengineering, Computer Science and Engineering, Institute for Genomic Medicine, University of California San Diego, La Jolla, California, USA
| | - Andrew P. VanDemark
- Department of Biological Sciences, University of Pittsburgh, Dietrich School of Arts & Sciences, Pittsburgh, Pennsylvania, USA
| | - Gina M. DeNicola
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA
| | - Anne-Ruxandra Carvunis
- Department of Computational and System Biology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,Pittsburgh Center for Evolutionary Biology and Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA,For correspondence: Anne-Ruxandra Carvunis
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57
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Chen A, Smith JR, Tapia H, Gibney PA. Characterizing phenotypic diversity of trehalose biosynthesis mutants in multiple wild strains of Saccharomyces cerevisiae. G3 (BETHESDA, MD.) 2022; 12:jkac196. [PMID: 35929793 PMCID: PMC9635654 DOI: 10.1093/g3journal/jkac196] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
In the yeast Saccharomyces cerevisiae, trehalose-6-phospahte synthase (Tps1) and trehalose-6-phosphate phosphatase (Tps2) are the main proteins catalyzing intracellular trehalose production. In addition to Tps1 and Tps2, 2 putative regulatory proteins with less clearly defined roles also appear to be involved with trehalose production, Tps3 and Tsl1. While this pathway has been extensively studied in laboratory strains of S. cerevisiae, we sought to examine the phenotypic consequences of disrupting these genes in wild strains. Here we deleted the TPS1, TPS2, TPS3, and TSL1 genes in 4 wild strains and 1 laboratory strain for comparison. Although some tested phenotypes were not shared between all strains, deletion of TPS1 abolished intracellular trehalose, caused inability to grow on fermentable carbon sources and resulted in severe sporulation deficiency for all 5 strains. After examining tps1 mutant strains expressing catalytically inactive variants of Tps1, our results indicate that Tps1, independent of trehalose production, is a key component for yeast survival in response to heat stress, for regulating sporulation, and growth on fermentable sugars. All tps2Δ mutants exhibited growth impairment on nonfermentable carbon sources, whereas variations were observed in trehalose synthesis, thermosensitivity and sporulation efficiency. tps3Δ and tsl1Δ mutants exhibited mild or no phenotypic disparity from their isogenic wild type although double mutants tps3Δ tsl1Δ decreased the amount of intracellular trehalose production in all 5 strains by 17-45%. Altogether, we evaluated, confirmed, and expanded the phenotypic characteristics associated trehalose biosynthesis mutants. We also identified natural phenotypic variants in multiple strains that could be used to genetically dissect the basis of these traits and then develop mechanistic models connecting trehalose metabolism to diverse cellular processes.
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Affiliation(s)
- Anqi Chen
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Jeremy R Smith
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
| | - Hugo Tapia
- Biology Program, California State University—Channel Islands, Camarillo, CA 93012, USA
| | - Patrick A Gibney
- Department of Food Science, Cornell University, Ithaca, NY 14853, USA
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58
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Gouka L, Raaijmakers JM, Cordovez V. Ecology and functional potential of phyllosphere yeasts. TRENDS IN PLANT SCIENCE 2022; 27:1109-1123. [PMID: 35842340 DOI: 10.1016/j.tplants.2022.06.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/20/2022] [Accepted: 06/14/2022] [Indexed: 05/20/2023]
Abstract
The phyllosphere (i.e., the aerial parts of plants) harbors a rich microbial life, including bacteria, fungi, viruses, and yeasts. Current knowledge of yeasts stems primarily from industrial and medical research on Saccharomyces cerevisiae and Candida albicans, both of which can be found on plant tissues. For most other yeasts found in the phyllosphere, little is known about their ecology and functions. Here, we explore the diversity, dynamics, interactions, and genomics of yeasts associated with plant leaves and how tools and approaches developed for model yeasts can be adopted to disentangle the ecology and natural functions of phyllosphere yeasts. A first genomic survey exemplifies that we have only scratched the surface of the largely unexplored functional potential of phyllosphere yeasts.
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Affiliation(s)
- Linda Gouka
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands
| | - Jos M Raaijmakers
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands; Institute of Biology, Leiden University, Leiden, The Netherlands
| | - Viviane Cordovez
- Department of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.
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59
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Fast-Growing Saccharomyces cerevisiae Cells with a Constitutive Unfolded Protein Response and Their Potential for Lipidic Molecule Production. Appl Environ Microbiol 2022; 88:e0108322. [PMID: 36255243 PMCID: PMC9642017 DOI: 10.1128/aem.01083-22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In Saccharomyces cerevisiae cells, dysfunction of the endoplasmic reticulum (ER), so-called ER stress, leads to conversion of HAC1 mRNA to the spliced form (HAC1i), which is translated into a transcription factor that drastically changes the gene expression profile. This cellular response ultimately enhances ER functions and is named the unfolded protein response (UPR). Artificial evocation of the UPR is therefore anticipated to increase productivity of beneficial materials on and in the ER. However, as demonstrated here, cells constitutively expressing HAC1i mRNA (HAC1i cells), which exhibited a strong UPR even under nonstress conditions, grew considerably slowly and frequently yielded fast-growing and low-UPR progeny. Intriguingly, growth of HAC1i cells was faster in the presence of weak ER stress that was induced by low concentrations of the ER stressor tunicamycin or by cellular expression of the ER-located version of green fluorescent protein (GFP). HAC1i cells producing ER-localized GFP stably exhibited a strong UPR activity, carried a highly expanded ER, and abundantly produced triglycerides and heterogenous carotenoids. We therefore propose that our findings provide a basis for metabolic engineering to generate cells producing valuable lipidic molecules. IMPORTANCE The UPR is thought to be a cellular response to cope with the accumulation of unfolded proteins in the ER. In S. cerevisiae cells, the UPR is severely repressed under nonstress conditions. The findings of this study shed light on the physiological significance of the tight regulation of the UPR. Constitutive UPR induction caused considerable growth retardation, which was partly rescued by the induction of weak ER stress. Therefore, we speculate that when the UPR is inappropriately induced in unstressed cells lacking aberrant ER client proteins, the UPR improperly impairs normal cellular functions. Another important point of this study was the generation of S. cerevisiae strains stably exhibiting a strong UPR activity and abundantly producing triglycerides and heterogenous carotenoids. We anticipate that our findings may be applied to produce valuable lipidic molecules using yeast cells as a potential next-generation technique.
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60
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Past, Present, and Future of Genome Modification in Escherichia coli. Microorganisms 2022; 10:microorganisms10091835. [PMID: 36144436 PMCID: PMC9504249 DOI: 10.3390/microorganisms10091835] [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: 08/21/2022] [Revised: 09/05/2022] [Accepted: 09/05/2022] [Indexed: 12/04/2022] Open
Abstract
Escherichia coli K-12 is one of the most well-studied species of bacteria. This species, however, is much more difficult to modify by homologous recombination (HR) than other model microorganisms. Research on HR in E. coli has led to a better understanding of the molecular mechanisms of HR, resulting in technical improvements and rapid progress in genome research, and allowing whole-genome mutagenesis and large-scale genome modifications. Developments using λ Red (exo, bet, and gam) and CRISPR-Cas have made E. coli as amenable to genome modification as other model microorganisms, such as Saccharomyces cerevisiae and Bacillus subtilis. This review describes the history of recombination research in E. coli, as well as improvements in techniques for genome modification by HR. This review also describes the results of large-scale genome modification of E. coli using these technologies, including DNA synthesis and assembly. In addition, this article reviews recent advances in genome modification, considers future directions, and describes problems associated with the creation of cells by design.
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61
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Identification of Genes Promoting Growth of Ustilago maydis on Biomolecules Released from Cells Killed by Oxidation. J Fungi (Basel) 2022; 8:jof8090957. [PMID: 36135682 PMCID: PMC9503528 DOI: 10.3390/jof8090957] [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: 07/21/2022] [Revised: 09/07/2022] [Accepted: 09/07/2022] [Indexed: 11/16/2022] Open
Abstract
Much headway has been made in understanding the numerous strategies that enable microorganisms to counteract various types of environmental stress, but little is known about how microbial populations recover after a massive death caused by exposure to extreme conditions. Using the yeast-like fungus Ustilago maydis as a model, our recent post-stress regrowth under starvation (RUS) studies have demonstrated that this organism reconstitutes devastated populations with remarkable efficiency. Subsequently, we have identified four RUS-gene products. Two of these, Did4 and Tbp1, play parallel roles in protecting the genome. To identify additional molecular components, we took a molecular-genetic and a transcriptomic approach. By employing a simple and novel screening method, we identified five RUS-deficient mutants (snf8, slm1, vrg4, snf5, hsf1), three of which (snf8, slm1, and hsf1) displayed sensitivity to different genotoxic agents, indicating that the corresponding gene products have roles in genome protection. The global transcriptomic changes of cells grown in supernatants derived from peroxide-treated cell suspensions revealed sets of uniquely expressed genes. Importantly, among the genes induced by the substrates was Chk1, which encodes a protein kinase required for checkpoint-mediated cell cycle arrest in response to DNA damage. Mutants of U. maydis deleted of Chk1 are severely incapacitated in RUS.
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62
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Vanacloig-Pedros E, Fisher KJ, Liu L, Debrauske DJ, Young MKM, Place M, Hittinger CT, Sato TK, Gasch AP. Comparative chemical genomic profiling across plant-based hydrolysate toxins reveals widespread antagonism in fitness contributions. FEMS Yeast Res 2022; 21:6650360. [PMID: 35883225 PMCID: PMC9508847 DOI: 10.1093/femsyr/foac036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 07/06/2022] [Accepted: 07/21/2022] [Indexed: 11/15/2022] Open
Abstract
The budding yeast Saccharomyces cerevisiae has been used extensively in fermentative industrial processes, including biofuel production from sustainable plant-based hydrolysates. Myriad toxins and stressors found in hydrolysates inhibit microbial metabolism and product formation. Overcoming these stresses requires mitigation strategies that include strain engineering. To identify shared and divergent mechanisms of toxicity and to implicate gene targets for genetic engineering, we used a chemical genomic approach to study fitness effects across a library of S. cerevisiae deletion mutants cultured anaerobically in dozens of individual compounds found in different types of hydrolysates. Relationships in chemical genomic profiles identified classes of toxins that provoked similar cellular responses, spanning inhibitor relationships that were not expected from chemical classification. Our results also revealed widespread antagonistic effects across inhibitors, such that the same gene deletions were beneficial for surviving some toxins but detrimental for others. This work presents a rich dataset relating gene function to chemical compounds, which both expands our understanding of plant-based hydrolysates and provides a useful resource to identify engineering targets.
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Affiliation(s)
- Elena Vanacloig-Pedros
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 53726, Madison, WI, United States
| | - Kaitlin J Fisher
- Laboratory of Genetics, University of Wisconsin-Madison, 53706, Madison, WI, United States
- Center for Genomic Science Innovation, University of Wisconsin-Madison, 53706, Madison, WI, United States
- J.F. Crow Institute for the Study of Evolution, 53706, Madison, WI, United States
| | - Lisa Liu
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 53726, Madison, WI, United States
| | - Derek J Debrauske
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 53726, Madison, WI, United States
| | - Megan K M Young
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 53726, Madison, WI, United States
| | - Michael Place
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 53726, Madison, WI, United States
| | - Chris Todd Hittinger
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 53726, Madison, WI, United States
- Laboratory of Genetics, University of Wisconsin-Madison, 53706, Madison, WI, United States
- Center for Genomic Science Innovation, University of Wisconsin-Madison, 53706, Madison, WI, United States
- J.F. Crow Institute for the Study of Evolution, 53706, Madison, WI, United States
| | - Trey K Sato
- Corresponding author: Trey K. Sato, Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, 4117 Wisconsin Energy Institute, 1552 University Ave, Madison, WI 53726. Tel: (608) 890-2546; E-mail:
| | - Audrey P Gasch
- Corresponding author: Audrey P. Gasch, Center for Genomic Science Innovation, University of Wisconsin-Madison, 3422 Genetics-Biotechnology Center, 425 Henry Mall, Madison, WI 53704, United States. Tel: (608)265-0859; E-mail:
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63
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Genome-scale modeling drives 70-fold improvement of intracellular heme production in Saccharomyces cerevisiae. Proc Natl Acad Sci U S A 2022; 119:e2108245119. [PMID: 35858410 PMCID: PMC9335255 DOI: 10.1073/pnas.2108245119] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Heme availability in the cell enables the proper folding and function of enzymes, which carry heme as a cofactor. Using genome-scale modeling, we identified metabolic fluxes and genes that limit heme production. Our study experimentally validates ecYeast8 model predictions. Moreover, we developed an approach to predict gene combinations, which provides an in silico design of a viable strain able to overproduce the metabolite of interest. Using our approach, we constructed a yeast strain that produces 70-fold-higher levels of intracellular heme. With its high-capacity metabolic subnetwork, our engineered strain is a suitable platform for the production of additional heme enzymes. The heme ligand-binding biosensor (Heme-LBB) detects the cotranslational incorporation of heme into the heme-protein hemoglobin. Heme is an oxygen carrier and a cofactor of both industrial enzymes and food additives. The intracellular level of free heme is low, which limits the synthesis of heme proteins. Therefore, increasing heme synthesis allows an increased production of heme proteins. Using the genome-scale metabolic model (GEM) Yeast8 for the yeast Saccharomyces cerevisiae, we identified fluxes potentially important to heme synthesis. With this model, in silico simulations highlighted 84 gene targets for balancing biomass and increasing heme production. Of those identified, 76 genes were individually deleted or overexpressed in experiments. Empirically, 40 genes individually increased heme production (up to threefold). Heme was increased by modifying target genes, which not only included the genes involved in heme biosynthesis, but also those involved in glycolysis, pyruvate, Fe-S clusters, glycine, and succinyl-coenzyme A (CoA) metabolism. Next, we developed an algorithmic method for predicting an optimal combination of these genes by using the enzyme-constrained extension of the Yeast8 model, ecYeast8. The computationally identified combination for enhanced heme production was evaluated using the heme ligand-binding biosensor (Heme-LBB). The positive targets were combined using CRISPR-Cas9 in the yeast strain (IMX581-HEM15-HEM14-HEM3-Δshm1-HEM2-Δhmx1-FET4-Δgcv2-HEM1-Δgcv1-HEM13), which produces 70-fold-higher levels of intracellular heme.
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64
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Jagadeesan SK, Potter T, Al-Gafari M, Hooshyar M, Hewapathirana CM, Takallou S, Hajikarimlou M, Burnside D, Samanfar B, Moteshareie H, Smith M, Golshani A. Discovery and identification of genes involved in DNA damage repair in yeast. Gene 2022; 831:146549. [PMID: 35569766 DOI: 10.1016/j.gene.2022.146549] [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: 09/13/2021] [Revised: 02/16/2022] [Accepted: 05/06/2022] [Indexed: 11/04/2022]
Abstract
DNA repair defects are common in tumour cells and can lead to misrepair of double-strand breaks (DSBs), posing a significant challenge to cellular integrity. The overall mechanisms of DSB have been known for decades. However, the list of the genes that affect the efficiency of DSB repair continues to grow. Additional factors that play a role in DSB repair pathways have yet to be identified. In this study, we present a computational approach to identify novel gene functions that are involved in DNA damage repair in Saccharomyces cerevisiae. Among the primary candidates, GAL7, YMR130W, and YHI9 were selected for further analysis since they had not previously been identified as being active in DNA repair pathways. Originally, GAL7 was linked to galactose metabolism. YHI9 and YMR130W encode proteins of unknown functions. Laboratory testing of deletion strains gal7Δ, ymr130wΔ, and yhi9Δ implicated all 3 genes in Homologous Recombination (HR) and/or Non-Homologous End Joining (NHEJ) repair pathways, and enhanced sensitivity to DNA damage-inducing drugs suggested involvement in the broader DNA damage repair machinery. A subsequent genetic interaction analysis revealed interconnections of these three genes, most strikingly through SIR2, SIR3 and SIR4 that are involved in chromatin regulation and DNA damage repair network.
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Affiliation(s)
- Sasi Kumar Jagadeesan
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | - Taylor Potter
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | - Mustafa Al-Gafari
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | - Mohsen Hooshyar
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | | | - Sarah Takallou
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | - Maryam Hajikarimlou
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | - Daniel Burnside
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | - Bahram Samanfar
- Agriculture and Agri-Food Canada, Ottawa Research and Development Centre (ORDC), Ottawa, Ontario, Canada.
| | - Houman Moteshareie
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
| | - Myron Smith
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada.
| | - Ashkan Golshani
- Ottawa Institute of Systems Biology, University of Ottawa, Ottawa, Ontario, Canada; Department of Biology, Carleton University, Ottawa, Ontario, Canada.
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65
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Olguín V, Durán A, Las Heras M, Rubilar JC, Cubillos FA, Olguín P, Klein AD. Genetic Background Matters: Population-Based Studies in Model Organisms for Translational Research. Int J Mol Sci 2022; 23:ijms23147570. [PMID: 35886916 PMCID: PMC9316598 DOI: 10.3390/ijms23147570] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/28/2022] [Accepted: 07/04/2022] [Indexed: 02/01/2023] Open
Abstract
We are all similar but a bit different. These differences are partially due to variations in our genomes and are related to the heterogeneity of symptoms and responses to treatments that patients exhibit. Most animal studies are performed in one single strain with one manipulation. However, due to the lack of variability, therapies are not always reproducible when treatments are translated to humans. Panels of already sequenced organisms are valuable tools for mimicking human phenotypic heterogeneities and gene mapping. This review summarizes the current knowledge of mouse, fly, and yeast panels with insightful applications for translational research.
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Affiliation(s)
- Valeria Olguín
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Anyelo Durán
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Macarena Las Heras
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Juan Carlos Rubilar
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
| | - Francisco A. Cubillos
- Departamento de Biología, Santiago, Facultad de Química y Biología, Universidad de Santiago de Chile, Santiago 9170022, Chile;
- Millennium Institute for Integrative Biology (iBio), Santiago 7500565, Chile
| | - Patricio Olguín
- Program in Human Genetics, Institute of Biomedical Sciences, Biomedical Neurosciences Institute, Department of Neuroscience, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile;
| | - Andrés D. Klein
- Centro de Genética y Genómica, Facultad de Medicina, Clínica Alemana Universidad del Desarrollo, Santiago 7610658, Chile; (V.O.); (A.D.); (M.L.H.); (J.C.R.)
- Correspondence:
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66
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Sanz AB, Díez-Muñiz S, Moya J, Petryk Y, Nombela C, Rodríguez-Peña JM, Arroyo J. Systematic Identification of Essential Genes Required for Yeast Cell Wall Integrity: Involvement of the RSC Remodelling Complex. J Fungi (Basel) 2022; 8:jof8070718. [PMID: 35887473 PMCID: PMC9323250 DOI: 10.3390/jof8070718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 07/05/2022] [Accepted: 07/06/2022] [Indexed: 12/04/2022] Open
Abstract
Conditions altering the yeast cell wall lead to the activation of an adaptive transcriptional response mainly governed by the cell wall integrity (CWI) mitogen-activated protein kinase (MAPK) pathway. Two high-throughput screenings were developed using the yTHC collection of yeast conditional mutant strains to systematically identify essential genes related to cell wall integrity, and those required for the transcriptional program elicited by cell wall stress. Depleted expression of 52 essential genes resulted in hypersensitivity to the dye Calcofluor white, with chromatin organization, Golgi vesicle transport, rRNA processing, and protein glycosylation processes, as the most highly representative functional groups. Via a flow cytometry-based quantitative assay using a CWI reporter plasmid, 97 strains exhibiting reduced gene-reporter expression levels upon stress were uncovered, highlighting genes associated with RNA metabolism, transcription/translation, protein degradation, and chromatin organization. This screening also led to the discovery of 41 strains displaying a basal increase in CWI-associated gene expression, including mainly putative cell wall-related genes. Interestingly, several members of the RSC chromatin remodelling complex were uncovered in both screenings. Notably, Rsc9 was necessary to regulate the gene expression of CWI-related genes both under stress and non-stress conditions, suggesting distinct requirements of the RSC complex for remodelling particular genes.
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67
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Salinero AC, Emerson S, Cormier TC, Yin J, Morse RH, Curcio MJ. Reliance of Host-Encoded Regulators of Retromobility on Ty1 Promoter Activity or Architecture. Front Mol Biosci 2022; 9:896215. [PMID: 35847981 PMCID: PMC9283973 DOI: 10.3389/fmolb.2022.896215] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
The Ty1 retrotransposon family is maintained in a functional but dormant state by its host, Saccharomyces cerevisiae. Several hundred RHF and RTT genes encoding co-factors and restrictors of Ty1 retromobility, respectively, have been identified. Well-characterized examples include MED3 and MED15, encoding subunits of the Mediator transcriptional co-activator complex; control of retromobility by Med3 and Med15 requires the Ty1 promoter in the U3 region of the long terminal repeat. To characterize the U3-dependence of other Ty1 regulators, we screened a library of 188 known rhf and rtt mutants for altered retromobility of Ty1his3AI expressed from the strong, TATA-less TEF1 promoter or the weak, TATA-containing U3 promoter. Two classes of genes, each including both RHFs and RTTs, were identified. The first class comprising 82 genes that regulated Ty1his3AI retromobility independently of U3 is enriched for RHF genes that restrict the G1 phase of the cell cycle and those involved in transcriptional elongation and mRNA catabolism. The second class of 51 genes regulated retromobility of Ty1his3AI driven only from the U3 promoter. Nineteen U3-dependent regulators (U3DRs) also controlled retromobility of Ty1his3AI driven by the weak, TATA-less PSP2 promoter, suggesting reliance on the low activity of U3. Thirty-one U3DRs failed to modulate PPSP2-Ty1his3AI retromobility, suggesting dependence on the architecture of U3. To further investigate the U3-dependency of Ty1 regulators, we developed a novel fluorescence-based assay to monitor expression of p22-Gag, a restriction factor expressed from the internal Ty1i promoter. Many U3DRs had minimal effects on levels of Ty1 RNA, Ty1i RNA or p22-Gag. These findings uncover a role for the Ty1 promoter in integrating signals from diverse host factors to modulate Ty1 RNA biogenesis or fate.
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Affiliation(s)
- Alicia C. Salinero
- Laboratory of Molecular Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, United States
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, NY, United States
| | - Simey Emerson
- Laboratory of Molecular Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, United States
| | - Tayla C. Cormier
- Laboratory of Molecular Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, United States
| | - John Yin
- Laboratory of Molecular Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, United States
| | - Randall H. Morse
- Laboratory of Molecular Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, United States
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, NY, United States
| | - M. Joan Curcio
- Laboratory of Molecular Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, United States
- Department of Biomedical Sciences, School of Public Health, University at Albany, Albany, NY, United States
- *Correspondence: M. Joan Curcio,
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68
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Yang L, Malla S, Özdemir E, Kim SH, Lennen R, Christensen HB, Christensen U, Munro LJ, Herrgård MJ, Kell DB, Palsson BØ. Identification and Engineering of Transporters for Efficient Melatonin Production in Escherichia coli. Front Microbiol 2022; 13:880847. [PMID: 35794920 PMCID: PMC9251470 DOI: 10.3389/fmicb.2022.880847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
Transporter discovery and engineering play an important role in cell factory development. Decreasing the intracellular concentration of the product reduces product inhibition and/or toxicity. Lowering intracellular concentrations is especially beneficial for achieving a robust strain at high titers. However, the identification of transporters for xenobiotic chemicals in the host strain is challenging. Here we present a high-throughput workflow to discover Escherichia coli transporters responsible for the efflux of the inhibitory xenobiotic compound melatonin. We took advantage of the Keio collection and screened about 400 transporter knockouts in the presence of a high concentration of melatonin. We found five transporters that when knocked out showed decreased tolerance to melatonin, indicating they are exporters of melatonin. We overexpressed these five genes individually in the production strain and found that one of them, yhjV, encoding a transporter with unknown substrates, resulted in a 27% titer increase in cultivation mimicking fed-batch fermentation. This study demonstrates how microbial cell factories can be improved through transporter identification and engineering. Further, these results lay the foundation for the scale-up of melatonin production in E. coli.
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Affiliation(s)
- Lei Yang
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
- *Correspondence: Lei Yang,
| | - Sailesh Malla
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Emre Özdemir
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Se Hyeuk Kim
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Rebecca Lennen
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Hanne B. Christensen
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Ulla Christensen
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Lachlan J. Munro
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Markus J. Herrgård
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
| | - Douglas B. Kell
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom
- Douglas B. Kell,
| | - Bernhard Ø. Palsson
- Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States
- Department of Pediatrics, University of California, San Diego, San Diego, CA, United States
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69
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Parisutham V, Chhabra S, Ali MZ, Brewster RC. Tunable transcription factor library for robust quantification of regulatory properties in Escherichia coli. Mol Syst Biol 2022; 18:e10843. [PMID: 35694815 PMCID: PMC9189660 DOI: 10.15252/msb.202110843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/12/2022] Open
Abstract
Predicting the quantitative regulatory function of transcription factors (TFs) based on factors such as binding sequence, binding location, and promoter type is not possible. The interconnected nature of gene networks and the difficulty in tuning individual TF concentrations make the isolated study of TF function challenging. Here, we present a library of Escherichia coli strains designed to allow for precise control of the concentration of individual TFs enabling the study of the role of TF concentration on physiology and regulation. We demonstrate the usefulness of this resource by measuring the regulatory function of the zinc‐responsive TF, ZntR, and the paralogous TF pair, GalR/GalS. For ZntR, we find that zinc alters ZntR regulatory function in a way that enables activation of the regulated gene to be robust with respect to ZntR concentration. For GalR and GalS, we are able to demonstrate that these paralogous TFs have fundamentally distinct regulatory roles beyond differences in binding affinity.
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Affiliation(s)
- Vinuselvi Parisutham
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Shivani Chhabra
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Md Zulfikar Ali
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Robert C Brewster
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.,Department of Microbiology and Physiological Systems, University of Massachusetts Chan Medical School, Worcester, MA, USA
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70
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Kessi-Pérez EI, González A, Palacios JL, Martínez C. Yeast as a biological platform for vitamin D production: A promising alternative to help reduce vitamin D deficiency in humans. Yeast 2022; 39:482-492. [PMID: 35581681 DOI: 10.1002/yea.3708] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 05/10/2022] [Accepted: 05/12/2022] [Indexed: 11/08/2022] Open
Abstract
Vitamin D is an important human hormone, known primarily to be involved in the intestinal absorption of calcium and phosphate, but it is also involved in various non-skeletal processes (molecular, cellular, immune, and neuronal). One of the main health problems nowadays is the vitamin D deficiency of the human population due to lack of sun exposure, with estimates of one billion people worldwide with vitamin D deficiency, and the consequent need for clinical intervention (i.e., prescription of pharmacological vitamin D supplements). An alternative to reduce vitamin D deficiency is to produce good dietary sources of it, a scenario in which the yeast Saccharomyces cerevisiae seems to be a promising alternative. This review focuses on the potential use of yeast as a biological platform to produce vitamin D, summarizing both the biology aspects of vitamin D (synthesis, ecology and evolution, metabolism, and bioequivalence) and the work done to produce it in yeast (both for vitamin D2 and for vitamin D3 ), highlighting existing challenges and potential solutions. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Eduardo I Kessi-Pérez
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile.,Departamento de Ciencia y Tecnología de los Alimentos, Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Adens González
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - José Luis Palacios
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile
| | - Claudio Martínez
- Centro de Estudios en Ciencia y Tecnología de Alimentos (CECTA), Universidad de Santiago de Chile (USACH), Santiago, Chile.,Departamento de Ciencia y Tecnología de los Alimentos, Universidad de Santiago de Chile (USACH), Santiago, Chile
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71
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Varela C, Borneman AR. Molecular approaches improving our understanding of Brettanomyces physiology. FEMS Yeast Res 2022; 22:6585649. [PMID: 35561744 DOI: 10.1093/femsyr/foac028] [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: 03/10/2022] [Revised: 04/20/2022] [Accepted: 05/10/2022] [Indexed: 11/13/2022] Open
Abstract
Brettanomyces species and particularly B. bruxellensis as the most studied representative, are strongly linked to industrial fermentation processes. This association is considered either positive or undesirable depending on the industry. While in some brewing applications and in kombucha production Brettanomyces yeasts contribute to the flavour and aroma profile of these beverages, in winemaking and bioethanol production Brettanomyces is considered a spoilage or contaminant microorganism. Nevertheless, understanding Brettanomyces biology and metabolism in detail will benefit all industries. This review discusses recent molecular biology tools including genomics, transcriptomics and genetic engineering techniques that can improve our understanding of Brettanomyces physiology and how these approaches can be used to make the industrial potential of this species a reality.
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Affiliation(s)
- Cristian Varela
- The Australian Wine Research Institute, PO Box 197, Glen Osmond, Adelaide, SA 5064, Australia.,School of Agriculture, Food & Wine, Faculty of Sciences, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Anthony R Borneman
- The Australian Wine Research Institute, PO Box 197, Glen Osmond, Adelaide, SA 5064, Australia.,School of Agriculture, Food & Wine, Faculty of Sciences, University of Adelaide, Adelaide, SA, 5005, Australia
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72
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Liu X, Li J, Gygi SP, Paulo JA. Profiling Yeast Deletion Strains Using Sample Multiplexing and Network-Based Analyses. J Proteome Res 2022; 21:1525-1536. [PMID: 35544774 DOI: 10.1021/acs.jproteome.2c00137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The yeast, Saccharomyces cerevisiae, is a widely used model system for investigating conserved biological functions and pathways. Advancements in sample multiplexing have facilitated the study of the yeast proteome, yet many yeast proteins remain uncharacterized or only partially characterized. Yeast deletion strain collections are powerful resources for yeast proteome studies, uncovering the effects of gene function, genetic interactions, and cellular stresses. As complex biological systems cannot be understood by simply analyzing the individual components, a systems approach is often required in which a protein is represented as a component of large, interacting networks. Here, we evaluate the current state of yeast proteome analysis using isobaric tag-based sample multiplexing (TMTpro16) to profile the proteomes of 75 yeast deletion strains for which we measured the abundance of nearly 5000 proteins. Using statistical approaches, we highlighted covariance and regulation subnetworks and the enrichment of gene ontology classifications for covarying and coregulated proteins. This dataset presents a resource that is amenable to further data mining to study individual deletion strains, pathways, proteins, and/or interactions thereof while serving as a template for future network-based investigations using yeast deletion strain collections.
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Affiliation(s)
- Xinyue Liu
- Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States
| | - Jiaming Li
- Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States
| | - Joao A Paulo
- Department of Cell Biology, Harvard Medical School, 240 Longwood Avenue, Boston, Massachusetts 02115, United States
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73
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Noori S, Al‐A'araji N, Al‐Shamery E. Construction of dynamic protein interaction network based on gene expression data and quartile one principle. Proteins 2022; 90:1219-1228. [DOI: 10.1002/prot.26304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/12/2022] [Accepted: 01/13/2022] [Indexed: 11/09/2022]
Affiliation(s)
- Soheir Noori
- Software Department University of Babylon Hillah Babylon Iraq
- Computer Science Department University of Kerbala Karbala Iraq
| | | | - Eman Al‐Shamery
- Software Department University of Babylon Hillah Babylon Iraq
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74
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Hurtig JE, van Hoof A. Yeast Dxo1 is required for 25S rRNA maturation and acts as a transcriptome-wide distributive exonuclease. RNA (NEW YORK, N.Y.) 2022; 28:657-667. [PMID: 35140172 PMCID: PMC9014881 DOI: 10.1261/rna.078952.121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 01/24/2022] [Indexed: 05/03/2023]
Abstract
The Dxo1/Rai1/DXO family of decapping and exonuclease enzymes can catalyze the in vitro removal of chemically diverse 5' ends from RNA. Specifically, these enzymes act poorly on RNAs with a canonical 7mGpppN cap, but instead prefer RNAs with a triphosphate, monophosphate, hydroxyl, or nonconventional cap. In each case, these enzymes generate an RNA with a 5' monophosphate, which is then thought to be further degraded by Rat1/Xrn1 5' exoribonucleases. For most Dxo1/Rai1/DXO family members, it is not known which of these activities is most important in vivo. Here we describe the in vivo function of the poorly characterized cytoplasmic family member, yeast Dxo1. Using RNA-seq of 5' monophosphate ends, we show that Dxo1 can act as a distributive exonuclease, removing a few nucleotides from endonuclease or decapping products. We also show that Dxo1 is required for the final 5' end processing of 25S rRNA, and that this is the primary role of Dxo1. While Dxo1/Rai1/DXO members were expected to act upstream of Rat1/Xrn1, this order is reversed in 25S rRNA processing, with Dxo1 acting downstream from Rat1. Such a hand-off from a processive to a distributive exonuclease may be a general phenomenon in the precise maturation of RNA ends.
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Affiliation(s)
- Jennifer E Hurtig
- Microbiology and Molecular Genetics, University of Texas Health Science Center, Houston, Texas 77030, USA
| | - Ambro van Hoof
- Microbiology and Molecular Genetics, University of Texas Health Science Center, Houston, Texas 77030, USA
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75
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Phenomics approaches to understand genetic networks and gene function in yeast. Biochem Soc Trans 2022; 50:713-721. [PMID: 35285506 PMCID: PMC9162466 DOI: 10.1042/bst20210285] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Revised: 02/14/2022] [Accepted: 02/18/2022] [Indexed: 01/03/2023]
Abstract
Over the past decade, major efforts have been made to systematically survey the characteristics or phenotypes associated with genetic variation in a variety of model systems. These so-called phenomics projects involve the measurement of 'phenomes', or the set of phenotypic information that describes an organism or cell, in various genetic contexts or states, and in response to external factors, such as environmental signals. Our understanding of the phenome of an organism depends on the availability of reagents that enable systematic evaluation of the spectrum of possible phenotypic variation and the types of measurements that can be taken. Here, we highlight phenomics studies that use the budding yeast, a pioneer model organism for functional genomics research. We focus on genetic perturbation screens designed to explore genetic interactions, using a variety of phenotypic read-outs, from cell growth to subcellular morphology.
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76
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A Saccharomyces eubayanus haploid resource for research studies. Sci Rep 2022; 12:5976. [PMID: 35396494 PMCID: PMC8993842 DOI: 10.1038/s41598-022-10048-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/01/2022] [Indexed: 12/16/2022] Open
Abstract
Since its identification, Saccharomyces eubayanus has been recognized as the missing parent of the lager hybrid, S. pastorianus. This wild yeast has never been isolated from fermentation environments, thus representing an interesting candidate for evolutionary, ecological and genetic studies. However, it is imperative to develop additional molecular genetics tools to ease manipulation and thus facilitate future studies. With this in mind, we generated a collection of stable haploid strains representative of three main lineages described in S. eubayanus (PB-1, PB-2 and PB-3), by deleting the HO gene using CRISPR-Cas9 and tetrad micromanipulation. Phenotypic characterization under different conditions demonstrated that the haploid derivates were extremely similar to their parental strains. Genomic analysis in three strains highlighted a likely low frequency of off-targets, and sequencing of a single tetrad evidenced no structural variants in any of the haploid spores. Finally, we demonstrate the utilization of the haploid set by challenging the strains under mass-mating conditions. In this way, we found that S. eubayanus under liquid conditions has a preference to remain in a haploid state, unlike S. cerevisiae that mates rapidly. This haploid resource is a novel set of strains for future yeast molecular genetics studies.
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77
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Incorporating, Quantifying, and Leveraging Noncanonical Amino Acids in Yeast. METHODS IN MOLECULAR BIOLOGY (CLIFTON, N.J.) 2022; 2394:377-432. [PMID: 35094338 DOI: 10.1007/978-1-0716-1811-0_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Genetic code expansion has allowed for extraordinary advances in enhancing protein chemical diversity and functionality, but there remains a critical need for understanding and engineering genetic code expansion systems for improved efficiency. Incorporation of noncanonical amino acids (ncAAs) at stop codons provides a site-specific method for introducing unique chemistry into proteins, though often at reduced yields compared to wild-type proteins. A powerful platform for ncAA incorporation supports both the expression and evaluation of chemically diverse proteins for a broad range of applications. In yeast, ncAAs have been used to study dynamic cellular processes such as protein-protein interactions and also allow for exploration of eukaryotic-specific biology such as epigenetics. Furthermore, yeast display is an advantageous technology for engineering and screening the properties of proteins in high throughput. The protocols presented in this chapter describe detailed methods for the yeast-based genetic encoding of ncAAs in proteins intracellularly or on the yeast surface. In addition, methods are presented for modifying proteins on the yeast surface using bioorthogonal chemical reactions and evaluating reaction efficiency. Finally, protocols are included for the preparation of libraries that involve genetic code expansion. Libraries of proteins that contain ncAAs or libraries of the cellular machinery required to encode ncAAs can be constructed and screened in high throughput for many biological and chemical applications. Efficient incorporation of ncAAs facilitates elucidation of fundamental eukaryotic biology and advances tools for enzyme and genome engineering to evolve host cells that are better able to accommodate alternative genetic codes.
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78
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Novarina D, Rosas Bringas FR, Rosas Bringas OG, Chang M. High-throughput replica-pinning approach to screen for yeast genes controlling low-frequency events. STAR Protoc 2022; 3:101082. [PMID: 35059655 PMCID: PMC8760548 DOI: 10.1016/j.xpro.2021.101082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Saccharomyces cerevisiae is a leading model system for genome-wide screens, but low-frequency events (e.g., point mutations, recombination events) are difficult to detect with existing approaches. Here, we describe a high-throughput screening technique to detect low-frequency events using high-throughput replica pinning of high-density arrays of yeast colonies. This approach can be used to screen genes that control any process involving low-frequency events for which genetically selectable reporters are available, e.g., spontaneous mutations, recombination, and transcription errors. For complete details on the use and execution of this protocol, please refer to (Novarina et al., 2020a, 2020b).
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Affiliation(s)
- Daniele Novarina
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV Groningen, the Netherlands
| | - Fernando R. Rosas Bringas
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV Groningen, the Netherlands
| | - Omar G. Rosas Bringas
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV Groningen, the Netherlands
| | - Michael Chang
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, 9713 AV Groningen, the Netherlands
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79
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Arras SDM, Hibbard TR, Mitsugi-McHattie L, Woods MA, Johnson CE, Munkacsi A, Denmat SHL, Ganley ARD. Creeping yeast: a simple, cheap, and robust protocol for the identification of mating type in Saccharomyces cerevisiae. FEMS Yeast Res 2022; 22:6550023. [PMID: 35298616 PMCID: PMC9202641 DOI: 10.1093/femsyr/foac017] [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: 01/04/2022] [Revised: 02/21/2022] [Accepted: 03/14/2022] [Indexed: 11/30/2022] Open
Abstract
Saccharomyces cerevisiae is an exceptional genetic system, with genetic crosses facilitated by its ability to be maintained in haploid and diploid forms. Such crosses are straightforward if the mating type/ploidy of the strains is known. Several techniques can determine mating type (or ploidy), but all have limitations. Here, we validate a simple, cheap and robust method to identify S. cerevisiae mating types. When cells of opposite mating type are mixed in liquid media, they ‘creep’ up the culture vessel sides, a phenotype that can be easily detected visually. In contrast, mixtures of the same mating type or with a diploid simply settle out. The phenotype is observable for several days under a range of routine growth conditions and with different media/strains. Microscopy suggests that cell aggregation during mating is responsible for the phenotype. Yeast knockout collection analysis identified 107 genes required for the creeping phenotype, with these being enriched for mating-specific genes. Surprisingly, the RIM101 signaling pathway was strongly represented. We propose that RIM101 signaling regulates aggregation as part of a wider, previously unrecognized role in mating. The simplicity and robustness of this method make it ideal for routine verification of S. cerevisiae mating type, with future studies required to verify its molecular basis.
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Affiliation(s)
- Samantha D M Arras
- School of Biological Sciences, University of Auckland, Auckland, 1142, New Zealand
| | - Taylor R Hibbard
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | | | - Matthew A Woods
- Digital Life Institute, University of Auckland 0632, New Zealand
| | - Charlotte E Johnson
- School of Biological Sciences, University of Auckland, Auckland, 1142, New Zealand
| | - Andrew Munkacsi
- School of Biological Sciences, Victoria University of Wellington, Wellington 6012, New Zealand
| | | | - Austen R D Ganley
- School of Biological Sciences, University of Auckland, Auckland, 1142, New Zealand.,Digital Life Institute, University of Auckland 0632, New Zealand.,Institute of Natural and Mathematical Sciences, Massey University, Auckland 0632, New Zealand
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80
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Data mining of Saccharomyces cerevisiae mutants engineered for increased tolerance towards inhibitors in lignocellulosic hydrolysates. Biotechnol Adv 2022; 57:107947. [DOI: 10.1016/j.biotechadv.2022.107947] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/15/2022] [Accepted: 03/15/2022] [Indexed: 12/15/2022]
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81
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Ottilie S, Luth MR, Hellemann E, Goldgof GM, Vigil E, Kumar P, Cheung AL, Song M, Godinez-Macias KP, Carolino K, Yang J, Lopez G, Abraham M, Tarsio M, LeBlanc E, Whitesell L, Schenken J, Gunawan F, Patel R, Smith J, Love MS, Williams RM, McNamara CW, Gerwick WH, Ideker T, Suzuki Y, Wirth DF, Lukens AK, Kane PM, Cowen LE, Durrant JD, Winzeler EA. Adaptive laboratory evolution in S. cerevisiae highlights role of transcription factors in fungal xenobiotic resistance. Commun Biol 2022; 5:128. [PMID: 35149760 PMCID: PMC8837787 DOI: 10.1038/s42003-022-03076-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 01/21/2022] [Indexed: 12/24/2022] Open
Abstract
In vitro evolution and whole genome analysis were used to comprehensively identify the genetic determinants of chemical resistance in Saccharomyces cerevisiae. Sequence analysis identified many genes contributing to the resistance phenotype as well as numerous amino acids in potential targets that may play a role in compound binding. Our work shows that compound-target pairs can be conserved across multiple species. The set of 25 most frequently mutated genes was enriched for transcription factors, and for almost 25 percent of the compounds, resistance was mediated by one of 100 independently derived, gain-of-function SNVs found in a 170 amino acid domain in the two Zn2C6 transcription factors YRR1 and YRM1 (p < 1 × 10−100). This remarkable enrichment for transcription factors as drug resistance genes highlights their important role in the evolution of antifungal xenobiotic resistance and underscores the challenge to develop antifungal treatments that maintain potency. Ottilie et al. employ an experimental evolution approach to investigate the role of transcription factors in yeast chemical resistance. Most emergent mutations in resistant strains were enriched in transcription factor coding genes, highlighting their importance in drug resistance.
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Affiliation(s)
- Sabine Ottilie
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Madeline R Luth
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Erich Hellemann
- Department of Biological Sciences, University of Pittsburgh, 4249 Fifth Avenue, Pittsburgh, PA, 15260, USA
| | - Gregory M Goldgof
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Eddy Vigil
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Prianka Kumar
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Andrea L Cheung
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Miranda Song
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Karla P Godinez-Macias
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Krypton Carolino
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Jennifer Yang
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Gisel Lopez
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Matthew Abraham
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Maureen Tarsio
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York, NY, 13210, USA
| | - Emmanuelle LeBlanc
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5G 1M1, Canada
| | - Luke Whitesell
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5G 1M1, Canada
| | - Jake Schenken
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Felicia Gunawan
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Reysha Patel
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Joshua Smith
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA
| | - Melissa S Love
- Calibr, a division of The Scripps Research Institutes, La Jolla, CA, 92037, USA
| | - Roy M Williams
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA.,Aspen Neuroscience, San Diego, CA, 92121, USA
| | - Case W McNamara
- Calibr, a division of The Scripps Research Institutes, La Jolla, CA, 92037, USA
| | - William H Gerwick
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, La Jolla, CA, 92037, USA
| | - Trey Ideker
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Yo Suzuki
- Department of Synthetic Biology and Bioenergy, J. Craig Venter Institute, La Jolla, CA, 92037, USA
| | - Dyann F Wirth
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Infectious Disease and Microbiome Program, Broad Institute, Cambridge, MA, 02142, USA
| | - Amanda K Lukens
- Infectious Disease and Microbiome Program, Broad Institute, Cambridge, MA, 02142, USA
| | - Patricia M Kane
- Department of Biochemistry and Molecular Biology, SUNY Upstate Medical University, Syracuse, New York, NY, 13210, USA
| | - Leah E Cowen
- Department of Molecular Genetics, University of Toronto, Toronto, ON, M5G 1M1, Canada
| | - Jacob D Durrant
- Department of Biological Sciences, University of Pittsburgh, 4249 Fifth Avenue, Pittsburgh, PA, 15260, USA
| | - Elizabeth A Winzeler
- Department of Pediatrics, University of California, San Diego, Gilman Dr, La Jolla, CA, 92093, USA.
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82
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Mozzachiodi S, Bai FY, Baldrian P, Bell G, Boundy-Mills K, Buzzini P, Čadež N, Riffo FC, Dashko S, Dimitrov R, Fisher KJ, Gibson BR, Gouliamova D, Greig D, Heistinger L, Hittinger CT, Jecmenica M, Koufopanou V, Landry CR, Mašínová T, Naumova ES, Opulente D, Peña JJ, Petrovič U, Tsai IJ, Turchetti B, Villarreal P, Yurkov A, Liti G, Boynton P. Yeasts from temperate forests. Yeast 2022; 39:4-24. [PMID: 35146791 DOI: 10.1002/yea.3699] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Yeasts are ubiquitous in temperate forests. While this broad habitat is well-defined, the yeasts inhabiting it and their life cycles, niches, and contributions to ecosystem functioning are less understood. Yeasts are present on nearly all sampled substrates in temperate forests worldwide. They associate with soils, macroorganisms, and other habitats, and no doubt contribute to broader ecosystem-wide processes. Researchers have gathered information leading to hypotheses about yeasts' niches and their life cycles based on physiological observations in the laboratory as well as genomic analyses, but the challenge remains to test these hypotheses in the forests themselves. Here we summarize the habitat and global patterns of yeast diversity, give some information on a handful of well-studied temperate forest yeast genera, discuss the various strategies to isolate forest yeasts, and explain temperate forest yeasts' contributions to biotechnology. We close with a summary of the many future directions and outstanding questions facing researchers in temperate forest yeast ecology. Yeasts present an exciting opportunity to better understand the hidden world of microbial ecology in this threatened and global habitat.
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Affiliation(s)
| | - Feng-Yan Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Petr Baldrian
- Laboratory of Environmental Microbiology, Institute of Microbiology of the Czech Academy of Sciences, Praha 4, Czech Republic
| | - Graham Bell
- Biology Department and Redpath Museum, McGill University, Québec, Canada
| | - Kyria Boundy-Mills
- Department of Food Science and Technology, University of California Davis, Davis, CA, USA
| | - Pietro Buzzini
- Department of Agriculture, Food and Environmental Sciences & Industrial Yeasts Collection DBVPG, University of Perugia, Italy
| | - Neža Čadež
- Biotechnical Faculty, Food Science and Technology Department, University of Ljubljana, Ljubljana, Slovenia
| | - Francisco Cubillos Riffo
- Universidad de Santiago de Chile, Facultad de Química y Biología, Departamento de Biología, Santiago, Chile.,Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Sofia Dashko
- DSM Food Specialties, Center for Food Innovation, AX, Delft, The Netherlands
| | - Roumen Dimitrov
- Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Kaitlin J Fisher
- Laboratory of Genetics, Wisconsin Energy Institute, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, USA
| | - Brian R Gibson
- Technische Universität Berlin, Institute of Food Technology and Food Chemistry, Chair of Brewing and Beverage Technology, Berlin, Germany
| | - Dilnora Gouliamova
- Institute of Microbiology, Bulgarian Academy of Sciences, Sofia, Bulgaria
| | - Duncan Greig
- Centre for Life's Origins and Evolution, University College London, London, UK
| | - Lina Heistinger
- ETH Zurich, Department of Biology, Institute of Biochemistry, Switzerland
| | - Chris Todd Hittinger
- Laboratory of Genetics, Wisconsin Energy Institute, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | - Christian R Landry
- Département de Biochimie, de Microbiologie et de Bio-informatique, Faculté des Sciences et de Génie, Université Laval, Canada.,Institut de Biologie Intégrative et des Systèmes, Université Laval, Canada.,PROTEO, Le regroupement québécois de recherche sur la fonction, l'ingénierie et les applications des protéines, Université Laval, Canada.,Centre de Recherche sur les Données Massives, Université Laval, Canada.,Département de Biologie, Faculté des Sciences et de Génie, Université Laval, Canada
| | - Tereza Mašínová
- Laboratory of Environmental Microbiology, Institute of Microbiology of the Czech Academy of Sciences, Praha 4, Czech Republic
| | - Elena S Naumova
- State Research Institute of Genetics and Selection of Industrial Microorganisms of National Research Centre "Kurchatov Institute", Moscow, Russia
| | - Dana Opulente
- Department of Biology, Villanova University, Villanova, Pennsylvania, USA
| | | | - Uroš Petrovič
- Biotechnical Faculty, Department of Biology, University of Ljubljana, Ljubljana, Slovenia.,Jožef Stefan Institute, Department of Molecular and Biomedical Sciences, Ljubljana, Slovenia
| | | | - Benedetta Turchetti
- Department of Agriculture, Food and Environmental Sciences & Industrial Yeasts Collection DBVPG, University of Perugia, Italy
| | - Pablo Villarreal
- Universidad de Santiago de Chile, Facultad de Química y Biología, Departamento de Biología, Santiago, Chile.,Millennium Institute for Integrative Biology (iBio), Santiago, Chile
| | - Andrey Yurkov
- Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures, Braunschweig, Germany
| | - Gianni Liti
- Université Côte d'Azur, CNRS, INSERM, IRCAN, Nice, France
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83
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Sher A, Niederer SA, Mirams GR, Kirpichnikova A, Allen R, Pathmanathan P, Gavaghan DJ, van der Graaf PH, Noble D. A Quantitative Systems Pharmacology Perspective on the Importance of Parameter Identifiability. Bull Math Biol 2022; 84:39. [PMID: 35132487 PMCID: PMC8821410 DOI: 10.1007/s11538-021-00982-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 11/30/2021] [Indexed: 12/31/2022]
Abstract
There is an inherent tension in Quantitative Systems Pharmacology (QSP) between the need to incorporate mathematical descriptions of complex physiology and drug targets with the necessity of developing robust, predictive and well-constrained models. In addition to this, there is no “gold standard” for model development and assessment in QSP. Moreover, there can be confusion over terminology such as model and parameter identifiability; complex and simple models; virtual populations; and other concepts, which leads to potential miscommunication and misapplication of methodologies within modeling communities, both the QSP community and related disciplines. This perspective article highlights the pros and cons of using simple (often identifiable) vs. complex (more physiologically detailed but often non-identifiable) models, as well as aspects of parameter identifiability, sensitivity and inference methodologies for model development and analysis. The paper distills the central themes of the issue of identifiability and optimal model size and discusses open challenges.
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Affiliation(s)
- Anna Sher
- Pfizer Worldwide Research, Development and Medical, Massachusetts, USA.
| | | | - Gary R Mirams
- Centre for Mathematical Medicine and Biology, Mathematical Sciences, University of Nottingham, Nottingham, UK
| | | | - Richard Allen
- Pfizer Worldwide Research, Development and Medical, Massachusetts, USA
| | - Pras Pathmanathan
- Center for Devices and Radiological Health, U.S. Food and Drug Administration, Maryland, USA
| | - David J Gavaghan
- Department of Computer Science, University of Oxford, Oxford, UK
| | | | - Denis Noble
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK
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84
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García-García JD, Van Gelder K, Joshi J, Bathe U, Leong BJ, Bruner SD, Liu CC, Hanson AD. Using continuous directed evolution to improve enzymes for plant applications. PLANT PHYSIOLOGY 2022; 188:971-983. [PMID: 34718794 PMCID: PMC8825276 DOI: 10.1093/plphys/kiab500] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 09/29/2021] [Indexed: 05/12/2023]
Abstract
Continuous directed evolution of enzymes and other proteins in microbial hosts is capable of outperforming classical directed evolution by executing hypermutation and selection concurrently in vivo, at scale, with minimal manual input. Provided that a target enzyme's activity can be coupled to growth of the host cells, the activity can be improved simply by selecting for growth. Like all directed evolution, the continuous version requires no prior mechanistic knowledge of the target. Continuous directed evolution is thus a powerful way to modify plant or non-plant enzymes for use in plant metabolic research and engineering. Here, we first describe the basic features of the yeast (Saccharomyces cerevisiae) OrthoRep system for continuous directed evolution and compare it briefly with other systems. We then give a step-by-step account of three ways in which OrthoRep can be deployed to evolve primary metabolic enzymes, using a THI4 thiazole synthase as an example and illustrating the mutational outcomes obtained. We close by outlining applications of OrthoRep that serve growing demands (i) to change the characteristics of plant enzymes destined for return to plants, and (ii) to adapt ("plantize") enzymes from prokaryotes-especially exotic prokaryotes-to function well in mild, plant-like conditions.
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Affiliation(s)
- Jorge D García-García
- Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611
- Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Zapopan, Mexico
| | - Kristen Van Gelder
- Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611
| | - Jaya Joshi
- Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611
| | - Ulschan Bathe
- Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611
| | - Bryan J Leong
- Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611
| | - Steven D Bruner
- Chemistry Department, University of Florida, Gainesville, Florida 32611
| | - Chang C Liu
- Department of Biomedical Engineering, University of California, Irvine, California 92617
- Department of Chemistry, University of California, Irvine, California 92617
- Department of Molecular Biology and Biochemistry, University of California, Irvine, California 92697
| | - Andrew D Hanson
- Horticultural Sciences Department, University of Florida, Gainesville, Florida 32611
- Author for communication:
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85
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Pallares RM, An DD, Hébert S, Faulkner D, Loguinov A, Proctor M, Villalobos JA, Bjornstad KA, Rosen CJ, Vulpe C, Abergel RJ. Delineating toxicity mechanisms associated with MRI contrast enhancement through a multidimensional toxicogenomic profiling of gadolinium. Mol Omics 2022; 18:237-248. [PMID: 35040455 DOI: 10.1039/d1mo00267h] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Gadolinium is a metal used in contrast agents for magnetic resonance imaging. Although gadolinium is widely used in clinical settings, many concerns regarding its toxicity and bioaccumulation after gadolinium-based contrast agent administration have been raised and published over the last decade. To date, most toxicological studies have focused on identifying acute effects following gadolinium exposure, rather than investigating associated toxicity mechanisms. In this study, we employ functional toxicogenomics to assess mechanistic interactions of gadolinium with Saccharomyces cerevisiae. Furthermore, we determine which mechanisms are conserved in humans, and their implications for diseases related to the use of gadolinium-based contrast agents in medicine. A homozygous deletion pool of 4291 strains were screened to identify biological functions and pathways disturbed by the metal. Gene ontology and pathway enrichment analyses showed endocytosis and vesicle-mediated transport as the main yeast response to gadolinium, while certain metabolic processes, such as glycosylation, were the primary disrupted functions after the metal treatments. Cluster and protein-protein interaction network analyses identified proteins mediating vesicle-mediated transport through the Golgi apparatus and the vacuole, and vesicle cargo exocytosis as key components to reduce the metal toxicity. Moreover, the metal seemed to induce cytotoxicity by disrupting the function of enzymes (e.g. transferases and proteases) and chaperones involved in metabolic processes. Several of the genes and proteins associated with gadolinium toxicity are conserved in humans, suggesting that they may participate in pathologies linked to gadolinium-based contrast agent exposures. We thereby discuss the potential role of these conserved genes and gene products in gadolinium-induced nephrogenic systemic fibrosis, and propose potential prophylactic strategies to prevent its adverse health effects.
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Affiliation(s)
- Roger M Pallares
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Dahlia D An
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Solène Hébert
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - David Faulkner
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Alex Loguinov
- Center for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA
| | - Michael Proctor
- Center for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA
| | - Jonathan A Villalobos
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Kathleen A Bjornstad
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Chris J Rosen
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.
| | - Christopher Vulpe
- Center for Environmental and Human Toxicology, Department of Physiological Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, 32611, USA
| | - Rebecca J Abergel
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. .,Department of Nuclear Engineering, University of California, Berkeley, CA, 94720, USA
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86
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Abstract
The use of DNA barcodes for determining changes in genotype frequencies has been instrumental to increase the scale at which we can phenotype strain libraries by using next-generation sequencing technologies. Here, we describe the determination of strain fitness for thousands of yeast strains simultaneously in a single assay using recent innovations that increase the precision of these measurements, such as the inclusion of unique-molecular identifiers (UMIs) and purification by solid-phase reverse immobilization (SPRI) beads.
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Affiliation(s)
- Claire A Chochinov
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
- Department of Biology, University of Toronto at Mississauga, Mississauga, ON, Canada
| | - Alex N Nguyen Ba
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada.
- Department of Biology, University of Toronto at Mississauga, Mississauga, ON, Canada.
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87
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Ji J, Greenberg ML. Cardiolipin function in the yeast S. cerevisiae and the lessons learned for Barth syndrome. J Inherit Metab Dis 2022; 45:60-71. [PMID: 34626131 PMCID: PMC8755574 DOI: 10.1002/jimd.12447] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 09/21/2021] [Accepted: 10/06/2021] [Indexed: 01/03/2023]
Abstract
Cardiolipin (CL) is the signature phospholipid (PL) of mitochondria and plays a pivotal role in mitochondrial and cellular function. Disruption of the CL remodeling gene tafazzin (TAZ) causes the severe genetic disorder Barth syndrome (BTHS). Our current understanding of the function of CL and the mechanism underlying the disease has greatly benefited from studies utilizing the powerful yeast model Saccharomyces cerevisiae. In this review, we discuss important findings on the function of CL and its remodeling from yeast studies and the implications of these findings for BTHS, highlighting the potential physiological modifiers that may contribute to the disparities in clinical presentation among BTHS patients.
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Affiliation(s)
- Jiajia Ji
- Department of Biological Sciences, Wayne State University, Detroit, Michigan, USA
| | - Miriam L Greenberg
- Department of Biological Sciences, Wayne State University, Detroit, Michigan, USA
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88
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Wilson AC, Morgan WR. Functional analysis of a Phytophthora host-translocated effector using the yeast model system. PeerJ 2021; 9:e12576. [PMID: 34966585 PMCID: PMC8663620 DOI: 10.7717/peerj.12576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 11/09/2021] [Indexed: 11/20/2022] Open
Abstract
Background Phytophthora plant pathogens secrete effector proteins that are translocated into host plant cells during infection and collectively contribute to pathogenicity. A subset of these host-translocated effectors can be identified by the amino acid motif RXLR (arginine, any amino acid, leucine, arginine). Bioinformatics analysis has identified hundreds of putative RXLR effector genes in Phytophthora genomes, but the specific molecular function of most remains unknown. Methods Here we describe initial studies to investigate the use of Saccharomyces cerevisiae as a eukaryotic model to explore the function of Phytophthora RXLR effector proteins. Results and Conclusions Expression of individual RXLR effectors in yeast inhibited growth, consistent with perturbation of a highly conserved cellular process. Transcriptome analysis of yeast cells expressing the poorly characterized P. sojae RXLR effector Avh110 identified nearly a dozen yeast genes whose expression levels were altered greater than two-fold compared to control cells. All five of the most down-regulated yeast genes are normally induced under low phosphate conditions via the PHO4 transcription factor, indicating that PsAvh110 perturbs the yeast regulatory network essential for phosphate homeostasis and suggesting likely PsAvh110 targets during P. sojae infection of its soybean host.
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Affiliation(s)
- Avery C Wilson
- Department of Biology, The College of Wooster, Wooster, OH, United States.,School of Medicine, New York Medical College, Valhalla, NY, United States
| | - William R Morgan
- Department of Biology, The College of Wooster, Wooster, OH, United States
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89
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Bush SJ, Murren CJ, Urrutia AO, Kover PX. Contrasting gene-level signatures of selection with reproductive fitness. Mol Ecol 2021; 31:1515-1526. [PMID: 34918851 PMCID: PMC9304172 DOI: 10.1111/mec.16329] [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: 11/13/2020] [Revised: 11/29/2021] [Accepted: 12/09/2021] [Indexed: 11/30/2022]
Abstract
Selection leaves signatures in the DNA sequence of genes, with many test statistics devised to detect its action. While these statistics are frequently used to support hypotheses about the adaptive significance of particular genes, the effect these genes have on reproductive fitness is rarely quantified experimentally. Consequently, it is unclear how gene-level signatures of selection are associated with empirical estimates of gene effect on fitness. Eukaryotic datasets that permit this comparison are very limited. Using the model plant Arabidopsis thaliana, for which these resources are available, we calculated seven gene-level substitution and polymorphism-based statistics commonly used to infer selection (dN/dS, NI, DOS, Tajima's D, Fu and Li's D*, Fay and Wu's H, and Zeng's E) and, using knockout lines, compared these to gene-level estimates of effect on fitness. We found that consistent with expectations, essential genes were more likely to be classified as negatively selected. By contrast, using 379 Arabidopsis genes for which data was available, we found no evidence that genes predicted to be positively selected had a significantly different effect on fitness than genes evolving more neutrally. We discuss these results in the context of the analytic challenges posed by Arabidopsis, one of the only systems in which this study could be conducted, and advocate for examination in additional systems. These results are relevant to the evaluation of genome-wide studies across species where experimental fitness data is unavailable, as well as highlighting an increasing need for the latter.
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Affiliation(s)
- Stephen J Bush
- Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Courtney J Murren
- Department of Biology, College of Charleston, Charleston, SC, USA, 29424
| | - Araxi O Urrutia
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, BA2 7AY, UK.,Instituto de Ecologia, UNAM, Ciudad de Mexico, 04510, Mexico
| | - Paula X Kover
- Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, BA2 7AY, UK
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90
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Stieglitz JT, Potts KA, Van Deventer JA. Broadening the Toolkit for Quantitatively Evaluating Noncanonical Amino Acid Incorporation in Yeast. ACS Synth Biol 2021; 10:3094-3104. [PMID: 34730946 DOI: 10.1021/acssynbio.1c00370] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Genetic code expansion is a powerful approach for advancing critical fields such as biological therapeutic discovery. However, the machinery for genetically encoding noncanonical amino acids (ncAAs) is only available in limited plasmid formats, constraining potential applications. In extreme cases, the introduction of two separate plasmids, one containing an orthogonal translation system (OTS) to facilitate ncAA incorporation and a second for expressing a ncAA-containing protein of interest, is not possible due to a lack of the available selection markers. One strategy to circumvent this challenge is to express the OTS and protein of interest from a single vector. For what we believe is the first time in yeast, we describe here several sets of single plasmid systems (SPSs) for performing genetic code manipulation and compare the ncAA incorporation capabilities of these plasmids against the capabilities of previously described dual plasmid systems (DPSs). For both dual fluorescent protein reporters and yeast display reporters tested with multiple OTSs and ncAAs, measured ncAA incorporation efficiencies with SPSs were determined to be equal to efficiencies determined with DPSs. Click chemistry on yeast cells displaying ncAA-containing proteins was also shown to be feasible in both formats, although differences in reactivity between formats suggest the need for caution when using such approaches. Additionally, we investigated whether these reporters would support the separation of yeast strains known to exhibit distinct ncAA incorporation efficiencies. Model sorts conducted with mixtures of two strains transformed with the same SPS or DPS both led to the enrichment of a strain known to support a higher efficiency ncAA incorporation, suggesting that these reporters will be suitable for conducting screens for strains exhibiting enhanced ncAA incorporation efficiencies. Overall, our results confirm that SPSs are well behaved in yeast and provide a convenient alternative to DPSs. SPSs are expected to be invaluable for conducting high-throughput investigations of the effects of genetic or genomic changes on ncAA incorporation efficiency and, more fundamentally, the eukaryotic translation apparatus.
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Affiliation(s)
- Jessica T. Stieglitz
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
| | - Kelly A. Potts
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
| | - James A. Van Deventer
- Chemical and Biological Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
- Biomedical Engineering Department, Tufts University, Medford, Massachusetts 02155, United States
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91
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Egorov AA, Makeeva DS, Makarova NE, Bykov DA, Hrytseniuk YS, Mitkevich OV, Urakov VN, Alexandrov AI, Kulakovskiy IV, Dmitriev SE. Ribo-Seq and RNA-Seq of TMA46 ( DFRP1) and GIR2 ( DFRP2) knockout yeast strains. F1000Res 2021; 10:1162. [PMID: 34900236 PMCID: PMC8637242 DOI: 10.12688/f1000research.74727.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/11/2021] [Indexed: 11/20/2022] Open
Abstract
In eukaryotes, stalled and collided ribosomes are recognized by several conserved multicomponent systems, which either block protein synthesis in situ and resolve the collision locally, or trigger a general stress response. Yeast ribosome-binding GTPases RBG1 (DRG1 in mammals) and RBG2 (DRG2) form two distinct heterodimers with TMA46 (DFRP1) and GIR2 (DFRP2), respectively, both involved in mRNA translation. Accumulated evidence suggests that the dimers play partially redundant roles in elongation processivity and resolution of ribosome stalling and collision events, as well as in the regulation of GCN1-mediated signaling involved in ribosome-associated quality control (RQC). They also genetically interact with SLH1 (ASCC3) helicase, a key component of RQC trigger (RQT) complex disassembling collided ribosomes. Here, we present RNA-Seq and ribosome profiling (Ribo-Seq) data from S. cerevisiae strains with individual deletions of the TMA46 and GIR2 genes. Raw RNA-Seq and Ribo-Seq data as well as gene-level read counts are available in NCBI Gene Expression Omnibus (GEO) repository under GEO accession GSE185458 and GSE185286.
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Affiliation(s)
- Artyom A. Egorov
- Phystech School of Biological and Medical Physics, Moscow Institute of Physics and Technology (State University), Dolgoprudny, 141700, Russian Federation
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Sirius University of Science and Technology, Sochi, 354340, Russian Federation
| | - Desislava S. Makeeva
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Sirius University of Science and Technology, Sochi, 354340, Russian Federation
| | - Nadezhda E. Makarova
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Sirius University of Science and Technology, Sochi, 354340, Russian Federation
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
| | - Dmitri A. Bykov
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
| | - Yanislav S. Hrytseniuk
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Department of Chemistry, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
| | - Olga V. Mitkevich
- Bach Institute of Biochemistry, FRC of Biotechnology of the Russian Academy of Sciences, Moscow, 119071, Russian Federation
| | - Valery N. Urakov
- Bach Institute of Biochemistry, FRC of Biotechnology of the Russian Academy of Sciences, Moscow, 119071, Russian Federation
| | - Alexander I. Alexandrov
- Bach Institute of Biochemistry, FRC of Biotechnology of the Russian Academy of Sciences, Moscow, 119071, Russian Federation
| | - Ivan V. Kulakovskiy
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Sirius University of Science and Technology, Sochi, 354340, Russian Federation
- Institute of Protein Research, Russian Academy of Sciences, Pushchino, 142290, Russian Federation
| | - Sergey E. Dmitriev
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Sirius University of Science and Technology, Sochi, 354340, Russian Federation
- Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow, 119234, Russian Federation
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
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92
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Ralph-Epps T, Onu CJ, Vo L, Schmidtke MW, Le A, Greenberg ML. Studying Lipid-Related Pathophysiology Using the Yeast Model. Front Physiol 2021; 12:768411. [PMID: 34777024 PMCID: PMC8581491 DOI: 10.3389/fphys.2021.768411] [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: 08/31/2021] [Accepted: 10/04/2021] [Indexed: 01/01/2023] Open
Abstract
Saccharomyces cerevisiae, commonly known as baker's yeast, is one of the most comprehensively studied model organisms in science. Yeast has been used to study a wide variety of human diseases, and the yeast model system has proved to be an especially amenable tool for the study of lipids and lipid-related pathophysiologies, a topic that has gained considerable attention in recent years. This review focuses on how yeast has contributed to our understanding of the mitochondrial phospholipid cardiolipin (CL) and its role in Barth syndrome (BTHS), a genetic disorder characterized by partial or complete loss of function of the CL remodeling enzyme tafazzin. Defective tafazzin causes perturbation of CL metabolism, resulting in many downstream cellular consequences and clinical pathologies that are discussed herein. The influence of yeast research in the lipid-related pathophysiologies of Alzheimer's and Parkinson's diseases is also summarized.
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Affiliation(s)
- Tyler Ralph-Epps
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - Chisom J Onu
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - Linh Vo
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - Michael W Schmidtke
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
| | - Anh Le
- Muskegon Catholic Central High School, Muskegon, MI, United States
| | - Miriam L Greenberg
- Department of Biological Sciences, Wayne State University, Detroit, MI, United States
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93
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Egorov AA, Alexandrov AI, Urakov VN, Makeeva DS, Edakin RO, Kushchenko AS, Gladyshev VN, Kulakovskiy IV, Dmitriev SE. A standard knockout procedure alters expression of adjacent loci at the translational level. Nucleic Acids Res 2021; 49:11134-11144. [PMID: 34606617 PMCID: PMC8565318 DOI: 10.1093/nar/gkab872] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/11/2021] [Accepted: 09/15/2021] [Indexed: 12/13/2022] Open
Abstract
The Saccharomyces cerevisiae gene deletion collection is widely used for functional gene annotation and genetic interaction analyses. However, the standard G418-resistance cassette used to produce knockout mutants delivers strong regulatory elements into the target genetic loci. To date, its side effects on the expression of neighboring genes have never been systematically assessed. Here, using ribosome profiling data, RT-qPCR, and reporter expression, we investigated perturbations induced by the KanMX module. Our analysis revealed significant alterations in the transcription efficiency of neighboring genes and, more importantly, severe impairment of their mRNA translation, leading to changes in protein abundance. In the ‘head-to-head’ orientation of the deleted and neighboring genes, knockout often led to a shift of the transcription start site of the latter, introducing new uAUG codon(s) into the expanded 5′ untranslated region (5′ UTR). In the ‘tail-to-tail’ arrangement, knockout led to activation of alternative polyadenylation signals in the neighboring gene, thus altering its 3′ UTR. These events may explain the so-called neighboring gene effect (NGE), i.e. false genetic interactions of the deleted genes. We estimate that in as much as ∼1/5 of knockout strains the expression of neighboring genes may be substantially (>2-fold) deregulated at the level of translation.
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Affiliation(s)
- Artyom A Egorov
- Phystech School of Biological and Medical Physics, Moscow Institute of Physics and Technology (State University), Dolgoprudny 141700, Russia.,Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia.,Sirius University of Science and Technology, 1 Olympic Ave, Sochi 354340, Russia
| | - Alexander I Alexandrov
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia.,FRC of Biotechnology of the Russian Academy of Sciences, Bach Institute of Biochemistry, Moscow 119071, Russia
| | - Valery N Urakov
- FRC of Biotechnology of the Russian Academy of Sciences, Bach Institute of Biochemistry, Moscow 119071, Russia
| | - Desislava S Makeeva
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia.,Sirius University of Science and Technology, 1 Olympic Ave, Sochi 354340, Russia
| | - Roman O Edakin
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia.,Sirius University of Science and Technology, 1 Olympic Ave, Sochi 354340, Russia.,Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow 119234, Russia
| | - Artem S Kushchenko
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia.,Sirius University of Science and Technology, 1 Olympic Ave, Sochi 354340, Russia.,Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow 119234, Russia
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Ivan V Kulakovskiy
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia.,Sirius University of Science and Technology, 1 Olympic Ave, Sochi 354340, Russia.,Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119991, Russia.,Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow 119991, Russia
| | - Sergey E Dmitriev
- Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow 119234, Russia.,Sirius University of Science and Technology, 1 Olympic Ave, Sochi 354340, Russia.,Faculty of Bioengineering and Bioinformatics, Lomonosov Moscow State University, Moscow 119234, Russia
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94
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Gupta G, Ndiaye A, Filteau M. Leveraging Experimental Strategies to Capture Different Dimensions of Microbial Interactions. Front Microbiol 2021; 12:700752. [PMID: 34646243 PMCID: PMC8503676 DOI: 10.3389/fmicb.2021.700752] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 08/31/2021] [Indexed: 12/27/2022] Open
Abstract
Microorganisms are a fundamental part of virtually every ecosystem on earth. Understanding how collectively they interact, assemble, and function as communities has become a prevalent topic both in fundamental and applied research. Owing to multiple advances in technology, answering questions at the microbial system or network level is now within our grasp. To map and characterize microbial interaction networks, numerous computational approaches have been developed; however, experimentally validating microbial interactions is no trivial task. Microbial interactions are context-dependent, and their complex nature can result in an array of outcomes, not only in terms of fitness or growth, but also in other relevant functions and phenotypes. Thus, approaches to experimentally capture microbial interactions involve a combination of culture methods and phenotypic or functional characterization methods. Here, through our perspective of food microbiologists, we highlight the breadth of innovative and promising experimental strategies for their potential to capture the different dimensions of microbial interactions and their high-throughput application to answer the question; are microbial interaction patterns or network architecture similar along different contextual scales? We further discuss the experimental approaches used to build various types of networks and study their architecture in the context of cell biology and how they translate at the level of microbial ecosystem.
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Affiliation(s)
- Gunjan Gupta
- Département des Sciences des aliments, Université Laval, Québec, QC, Canada
- Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Amadou Ndiaye
- Département des Sciences des aliments, Université Laval, Québec, QC, Canada
- Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
| | - Marie Filteau
- Département des Sciences des aliments, Université Laval, Québec, QC, Canada
- Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Québec, QC, Canada
- Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Québec, QC, Canada
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95
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Caldara M, Marmiroli N. Antimicrobial Properties of Antidepressants and Antipsychotics-Possibilities and Implications. Pharmaceuticals (Basel) 2021; 14:ph14090915. [PMID: 34577614 PMCID: PMC8470654 DOI: 10.3390/ph14090915] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/03/2021] [Accepted: 09/08/2021] [Indexed: 12/13/2022] Open
Abstract
The spreading of antibiotic resistance is responsible annually for over 700,000 deaths worldwide, and the prevision is that this number will increase exponentially. The identification of new antimicrobial treatments is a challenge that requires scientists all over the world to collaborate. Developing new drugs is an extremely long and costly process, but it could be paralleled by drug repositioning. The latter aims at identifying new clinical targets of an “old” drug that has already been tested, approved, and even marketed. This approach is very intriguing as it could reduce costs and speed up approval timelines, since data from preclinical studies and on pharmacokinetics, pharmacodynamics, and toxicity are already available. Antidepressants and antipsychotics have been described to inhibit planktonic and sessile growth of different yeasts and bacteria. The main findings in the field are discussed in this critical review, along with the description of the possible microbial targets of these molecules. Considering their antimicrobial activity, the manuscript highlights important implications that the administration of antidepressants and antipsychotics may have on the gut microbiome.
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Affiliation(s)
- Marina Caldara
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy;
- Interdepartmental Center SITEIA.PARMA, University of Parma, Parco Area delle Scienze 181/A, 43124 Parma, Italy
- Correspondence:
| | - Nelson Marmiroli
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy;
- Interdepartmental Center SITEIA.PARMA, University of Parma, Parco Area delle Scienze 181/A, 43124 Parma, Italy
- Italian National Interuniversity Consortium for Environmental Sciences (CINSA), University of Parma, 43124 Parma, Italy
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96
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Yeast as a Tool to Understand the Significance of Human Disease-Associated Gene Variants. Genes (Basel) 2021; 12:genes12091303. [PMID: 34573285 PMCID: PMC8465565 DOI: 10.3390/genes12091303] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 08/23/2021] [Accepted: 08/23/2021] [Indexed: 02/05/2023] Open
Abstract
At present, the great challenge in human genetics is to provide significance to the growing amount of human disease-associated gene variants identified by next generation DNA sequencing technologies. Increasing evidences suggest that model organisms are of pivotal importance to addressing this issue. Due to its genetic tractability, the yeast Saccharomyces cerevisiae represents a valuable model organism for understanding human genetic variability. In the present review, we show how S. cerevisiae has been used to study variants of genes involved in different diseases and in different pathways, highlighting the versatility of this model organism.
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97
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Somepalli G, Sahoo S, Singh A, Hannenhalli S. Prioritizing and characterizing functionally relevant genes across human tissues. PLoS Comput Biol 2021; 17:e1009194. [PMID: 34270548 PMCID: PMC8284802 DOI: 10.1371/journal.pcbi.1009194] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 06/17/2021] [Indexed: 11/29/2022] Open
Abstract
Knowledge of genes that are critical to a tissue's function remains difficult to ascertain and presents a major bottleneck toward a mechanistic understanding of genotype-phenotype links. Here, we present the first machine learning model-FUGUE-combining transcriptional and network features, to predict tissue-relevant genes across 30 human tissues. FUGUE achieves an average cross-validation auROC of 0.86 and auPRC of 0.50 (expected 0.09). In independent datasets, FUGUE accurately distinguishes tissue or cell type-specific genes, significantly outperforming the conventional metric based on tissue-specific expression alone. Comparison of tissue-relevant transcription factors across tissue recapitulate their developmental relationships. Interestingly, the tissue-relevant genes cluster on the genome within topologically associated domains and furthermore, are highly enriched for differentially expressed genes in the corresponding cancer type. We provide the prioritized gene lists in 30 human tissues and an open-source software to prioritize genes in a novel context given multi-sample transcriptomic data.
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Affiliation(s)
- Gowthami Somepalli
- Department of Computer Science, University of Maryland, College Park, Maryland, United States of America
| | - Sarthak Sahoo
- Undergraduate program, Indian Institute of Science, Bengaluru, India
| | - Arashdeep Singh
- Cancer Data Science Lab, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Sridhar Hannenhalli
- Cancer Data Science Lab, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, United States of America
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98
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Investigating the role of the transcriptional regulator Ure2 on the metabolism of Saccharomyces cerevisiae: a multi-omics approach. Appl Microbiol Biotechnol 2021; 105:5103-5112. [PMID: 34152451 DOI: 10.1007/s00253-021-11394-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 03/21/2021] [Accepted: 06/07/2021] [Indexed: 12/13/2022]
Abstract
Ure2 regulates nitrogen catabolite repression in Saccharomyces cerevisiae. Deletion of URE2 induces a physiological state mimicking the nitrogen starvation and autophagic responses. Previous work has shown that deletion of URE2 increases the fermentation rate of some wine-producing strains of S. cerevisiae. In this work, we investigated the effect of URE2 deletion (ΔURE2) on the metabolism of S. cerevisiae. During growth on glucose, the ΔURE2 mutant grew at a 40% slower rate than the wild type; however, it produced ethanol at a 31% higher rate. To better under the behavior of this mutant, we performed transcriptomics and metabolomics. Analysis of the RNA sequencing results and metabolite levels indicates that the mutant strain exhibited characteristics of both nitrogen starvation and autophagy, including the upregulation of allantoin, urea, and amino acid uptake and utilization pathways and selective autophagic machinery. In addition, pyruvate decarboxylase and alcohol dehydrogenase isoforms were expressed at higher rates than the wild type. The mutant also accumulated less trehalose and glycogen, and produced more lipids. The induction of a nitrogen starvation-like state and increase in lipid production in nitrogen-rich conditions suggest that URE2 may be a promising target for metabolic engineering in S. cerevisiae and other yeasts for the production of lipids and lipid-derived compounds. KEY POINTS: • Deletion of URE2 increases ethanol and lipid production in Saccharomyces cerevisiae. • Deletion of URE2 reduces glycogen and trehalose production. • Metabolic changes mimic nitrogen starvation and autophagic response.
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Muñoz-Guzmán F, Caballero V, Larrondo LF. A global search for novel transcription factors impacting the Neurospora crassa circadian clock. G3 (BETHESDA, MD.) 2021; 11:jkab100. [PMID: 33792687 PMCID: PMC8495738 DOI: 10.1093/g3journal/jkab100] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 03/16/2021] [Indexed: 01/15/2023]
Abstract
Eukaryotic circadian oscillators share a common circuit architecture, a negative feedback loop in which a positive element activates the transcription of a negative one that then represses the action of the former, inhibiting its own expression. While studies in mammals and insects have revealed additional transcriptional inputs modulating the expression of core clock components, this has been less characterized in the model Neurospora crassa, where the participation of other transcriptional components impacting circadian clock dynamics remains rather unexplored. Thus, we sought to identify additional transcriptional regulators modulating the N. crassa clock, following a reverse genetic screen based on luminescent circadian reporters and a collection of transcription factors (TFs) knockouts, successfully covering close to 60% of them. Besides the canonical core clock components WC-1 and -2, none of the tested transcriptional regulators proved to be essential for rhythmicity. Nevertheless, we identified a set of 23 TFs that when absent lead to discrete, but significant, changes in circadian period. While the current level of analysis does not provide mechanistic information about how these new players modulate circadian parameters, the results of this screen reveal that an important number of light and clock-regulated TFs, involved in a plethora of processes, are capable of modulating the clockworks. This partial reverse genetic clock screen also exemplifies how the N. crassa knockout collection continues to serve as an expedite platform to address broad biological questions.
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Affiliation(s)
- Felipe Muñoz-Guzmán
- ANID—Millennium Science Initiative Program—Millennium Institute for Integrative Biology (iBio), Santiago 8331150, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Valeria Caballero
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Luis F Larrondo
- ANID—Millennium Science Initiative Program—Millennium Institute for Integrative Biology (iBio), Santiago 8331150, Chile
- Departamento de Genética Molecular y Microbiología, Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
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100
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Investigating the Antifungal Mechanism of Action of Polygodial by Phenotypic Screening in Saccharomyces cerevisiae. Int J Mol Sci 2021; 22:ijms22115756. [PMID: 34071169 PMCID: PMC8198865 DOI: 10.3390/ijms22115756] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 05/19/2021] [Accepted: 05/25/2021] [Indexed: 11/17/2022] Open
Abstract
Polygodial is a "hot" peppery-tasting sesquiterpenoid that was first described for its anti-feedant activity against African armyworms. Using the haploid deletion mutant library of Saccharomyces cerevisiae, a genome-wide mutant screen was performed to shed more light on polygodial's antifungal mechanism of action. We identified 66 deletion strains that were hypersensitive and 47 that were highly resistant to polygodial treatment. Among the hypersensitive strains, an enrichment was found for genes required for vacuolar acidification, amino acid biosynthesis, nucleosome mobilization, the transcription mediator complex, autophagy and vesicular trafficking, while the resistant strains were enriched for genes encoding cytoskeleton-binding proteins, ribosomal proteins, mitochondrial matrix proteins, components of the heme activator protein (HAP) complex, and known regulators of the target of rapamycin complex 1 (TORC1) signaling. WE confirm that polygodial triggers a dose-dependent vacuolar alkalinization and that it increases Ca2+ influx and inhibits glucose-induced Ca2+ signaling. Moreover, we provide evidence suggesting that TORC1 signaling and its protective agent ubiquitin play a central role in polygodial resistance, suggesting that they can be targeted by polygodial either directly or via altered Ca2+ homeostasis.
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