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Harrison MC, Ubbelohde EJ, LaBella AL, Opulente DA, Wolters JF, Zhou X, Shen XX, Groenewald M, Hittinger CT, Rokas A. Machine learning enables identification of an alternative yeast galactose utilization pathway. Proc Natl Acad Sci U S A 2024; 121:e2315314121. [PMID: 38669185 PMCID: PMC11067038 DOI: 10.1073/pnas.2315314121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 02/27/2024] [Indexed: 04/28/2024] Open
Abstract
How genomic differences contribute to phenotypic differences is a major question in biology. The recently characterized genomes, isolation environments, and qualitative patterns of growth on 122 sources and conditions of 1,154 strains from 1,049 fungal species (nearly all known) in the yeast subphylum Saccharomycotina provide a powerful, yet complex, dataset for addressing this question. We used a random forest algorithm trained on these genomic, metabolic, and environmental data to predict growth on several carbon sources with high accuracy. Known structural genes involved in assimilation of these sources and presence/absence patterns of growth in other sources were important features contributing to prediction accuracy. By further examining growth on galactose, we found that it can be predicted with high accuracy from either genomic (92.2%) or growth data (82.6%) but not from isolation environment data (65.6%). Prediction accuracy was even higher (93.3%) when we combined genomic and growth data. After the GALactose utilization genes, the most important feature for predicting growth on galactose was growth on galactitol, raising the hypothesis that several species in two orders, Serinales and Pichiales (containing the emerging pathogen Candida auris and the genus Ogataea, respectively), have an alternative galactose utilization pathway because they lack the GAL genes. Growth and biochemical assays confirmed that several of these species utilize galactose through an alternative oxidoreductive D-galactose pathway, rather than the canonical GAL pathway. Machine learning approaches are powerful for investigating the evolution of the yeast genotype-phenotype map, and their application will uncover novel biology, even in well-studied traits.
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Affiliation(s)
- Marie-Claire Harrison
- Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235
| | - Emily J Ubbelohde
- Laboratory of Genetics, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726
| | - Abigail L LaBella
- Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28262
| | - Dana A Opulente
- Laboratory of Genetics, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726
- Department of Biology, Villanova University, Villanova, PA 19085
| | - John F Wolters
- Laboratory of Genetics, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726
| | - Xiaofan Zhou
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou 510642, China
| | - Xing-Xing Shen
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, China
| | | | - Chris Todd Hittinger
- Laboratory of Genetics, Department of Energy (DOE) Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53726
| | - Antonis Rokas
- Department of Biological Sciences and Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235
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2
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Marcet-Houben M, Collado-Cala I, Fuentes-Palacios D, Gómez AD, Molina M, Garisoain-Zafra A, Chorostecki U, Gabaldón T. EvolClustDB: Exploring Eukaryotic Gene Clusters with Evolutionarily Conserved Genomic Neighbourhoods. J Mol Biol 2023:168013. [PMID: 36806474 DOI: 10.1016/j.jmb.2023.168013] [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: 11/04/2022] [Revised: 01/24/2023] [Accepted: 02/11/2023] [Indexed: 02/17/2023]
Abstract
Conservation of gene neighbourhood over evolutionary distances is generally indicative of shared regulation or functional association among genes. This concept has been broadly exploited in prokaryotes but its use on eukaryotic genomes has been limited to specific functional classes, such as biosynthetic gene clusters. We here used an evolutionary-based gene cluster discovery algorithm (EvolClust) to pre-compute evolutionarily conserved gene neighbourhoods, which can be searched, browsed and downloaded in EvolClustDB. We inferred ∼35,000 cluster families in 882 different species in genome comparisons of five taxonomically broad clades: Fungi, Plants, Metazoans, Insects and Protists. EvolClustDB allows browsing through the cluster families, as well as searching by protein, species, identifier or sequence. Visualization allows inspecting gene order per species in a phylogenetic context, so that relevant evolutionary events such as gain, loss or transfer, can be inferred. EvolClustDB is freely available, without registration, at http://evolclustdb.org/.
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Affiliation(s)
- Marina Marcet-Houben
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain
| | - Ismael Collado-Cala
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain
| | - Diego Fuentes-Palacios
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain
| | - Alicia D Gómez
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain
| | - Manuel Molina
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain
| | - Andrés Garisoain-Zafra
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain
| | - Uciel Chorostecki
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain
| | - Toni Gabaldón
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS). Plaça Eusebi Güell, 1-3, 08034 Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain; Centro de Investigación Biomédica En Red de Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain.
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3
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Peris D, Ubbelohde EJ, Kuang MC, Kominek J, Langdon QK, Adams M, Koshalek JA, Hulfachor AB, Opulente DA, Hall DJ, Hyma K, Fay JC, Leducq JB, Charron G, Landry CR, Libkind D, Gonçalves C, Gonçalves P, Sampaio JP, Wang QM, Bai FY, Wrobel RL, Hittinger CT. Macroevolutionary diversity of traits and genomes in the model yeast genus Saccharomyces. Nat Commun 2023; 14:690. [PMID: 36755033 PMCID: PMC9908912 DOI: 10.1038/s41467-023-36139-2] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 01/17/2023] [Indexed: 02/10/2023] Open
Abstract
Species is the fundamental unit to quantify biodiversity. In recent years, the model yeast Saccharomyces cerevisiae has seen an increased number of studies related to its geographical distribution, population structure, and phenotypic diversity. However, seven additional species from the same genus have been less thoroughly studied, which has limited our understanding of the macroevolutionary events leading to the diversification of this genus over the last 20 million years. Here, we show the geographies, hosts, substrates, and phylogenetic relationships for approximately 1,800 Saccharomyces strains, covering the complete genus with unprecedented breadth and depth. We generated and analyzed complete genome sequences of 163 strains and phenotyped 128 phylogenetically diverse strains. This dataset provides insights about genetic and phenotypic diversity within and between species and populations, quantifies reticulation and incomplete lineage sorting, and demonstrates how gene flow and selection have affected traits, such as galactose metabolism. These findings elevate the genus Saccharomyces as a model to understand biodiversity and evolution in microbial eukaryotes.
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Grants
- R01 GM080669 NIGMS NIH HHS
- T32 GM007133 NIGMS NIH HHS
- We thank the University of Wisconsin Biotechnology Center DNA Sequencing Facility for providing Illumina and Sanger sequencing facilities and services; Maria Sardi, Audrey Gasch, and Ursula Bond for providing strains; Sean McIlwain for providing guidance for genome ultra-scaffolding; Yury V. Bukhman for discussing applications of the Growth Curve Analysis Tool (GCAT); Mick McGee for HPLC analysis; Raúl Ortíz-Merino for assistance during YGAP annotations; Jessica Leigh for assistance with PopART; Cecile Ané for suggestions about BUCKy utilization and phylogenetic network analyses; Samina Naseeb and Daniela Delneri for sharing preliminary multi-locus Saccharomyces jurei data; and Branden Timm, Brian Kyle, and Dan Metzger for computational assistance. Some computations were performed on Tirant III of the Spanish Supercomputing Network (‘‘Servei d’Informàtica de la Universitat de València”) under the project BCV-2021-1-0001 granted to DP, while others were performed at the Wisconsin Energy Institute and the Center for High-Throughput Computing of the University of Wisconsin-Madison. During a portion of this project, DP was a researcher funded by the European Union’s Horizon 2020 research and innovation programme Marie Sklodowska-Curie, grant agreement No. 747775, the Research Council of Norway (RCN) grant Nos. RCN 324253 and 274337, and the Generalitat Valenciana plan GenT grant No. CIDEGENT/2021/039. DP is a recipient of an Illumina Grant for Illumina Sequencing Saccharomyces strains in this study. QKL was supported by the National Science Foundation under Grant No. DGE-1256259 (Graduate Research Fellowship) and the Predoctoral Training Program in Genetics, funded by the National Institutes of Health (5T32GM007133). This material is based upon work supported in part by the Great Lakes Bioenergy Research Center, Office of Science, Office of Biological and Environmental Research under Award Numbers DE-SC0018409 and DE-FC02-07ER64494; the National Science Foundation under Grant Nos. DEB-1253634, DEB-1442148, and DEB-2110403; and the USDA National Institute of Food and Agriculture Hatch Project Number 1020204. C.T.H. is an H. I. Romnes Faculty Fellow, supported by the Office of the Vice Chancellor for Research and Graduate Education with funding from Wisconsin Alumni Research Foundation. QMW was supported by the National Natural Science Foundation of China (NSFC) under Grant Nos. 31770018 and 31961133020. CRL holds the Canada Research Chair in Cellular Systems and Synthetic Biology, and his research on wild yeast is supported by a NSERC Discovery Grant.
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Affiliation(s)
- David Peris
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA.
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA.
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway.
- Department of Food Biotechnology, Institute of Agrochemistry and Food Technology (IATA), CSIC, Valencia, Spain.
| | - Emily J Ubbelohde
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Meihua Christina Kuang
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
| | - Jacek Kominek
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Quinn K Langdon
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
| | - Marie Adams
- Biotechnology Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Justin A Koshalek
- Biotechnology Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Amanda Beth Hulfachor
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Dana A Opulente
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Katie Hyma
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Justin C Fay
- Department of Biology, University of Rochester, Rochester, NY, USA
| | - Jean-Baptiste Leducq
- Departement des Sciences Biologiques, Université de Montréal, Montreal, QC, Canada
- Département de Biologie, PROTEO, Pavillon Charles‑Eugène‑Marchand, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, QC, Canada
| | - Guillaume Charron
- Canada Natural Resources, Laurentian Forestry Centre, Quebec City, QC, Canada
| | - Christian R Landry
- Département de Biologie, PROTEO, Pavillon Charles‑Eugène‑Marchand, Institut de Biologie Intégrative et des Systèmes (IBIS), Université Laval, Quebec City, QC, Canada
| | - Diego Libkind
- Centro de Referencia en Levaduras y Tecnología Cervecera (CRELTEC), Instituto Andino Patagónico de Tecnologías Biológicas y Geoambientales (IPATEC), Consejo Nacional de Investigaciones, Científicas y Técnicas (CONICET)-Universidad Nacional del Comahue, Bariloche, Argentina
| | - Carla Gonçalves
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal
- UCIBIO-i4HB, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
- Vanderbilt University, Department of Biological Sciences, Nashville, TN, USA
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN, USA
| | - Paula Gonçalves
- UCIBIO-i4HB, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
| | - José Paulo Sampaio
- UCIBIO-i4HB, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
| | - Qi-Ming Wang
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
- School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding, China
| | - Feng-Yan Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Russel L Wrobel
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA
| | - Chris Todd Hittinger
- Laboratory of Genetics, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA.
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA.
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4
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Sun X, Yu J, Zhu C, Mo X, Sun Q, Yang D, Su C, Lu Y. Recognition of galactose by a scaffold protein recruits a transcriptional activator for the GAL regulon induction in Candida albicans. eLife 2023; 12:84155. [PMID: 36723430 PMCID: PMC9925049 DOI: 10.7554/elife.84155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 01/31/2023] [Indexed: 02/02/2023] Open
Abstract
The GAL pathway of yeasts has long served as a model system for understanding of how regulatory mode of eukaryotic metabolic pathways evolves. While Gal4 mode has been well-characterized in Saccharomycetaceae clade, little is known about the regulation of the GAL pathway in other yeasts. Here, we find that Rep1, a Ndt80-like family transcription factor, serves as a galactose sensor in the commensal-pathogenic fungus Candida albicans. It is presented at the GAL gene promoters independent of the presence of galactose. Rep1 recognizes galactose via a direct physical interaction. The net result of this interaction is the recruitment of a transcriptional activator Cga1 (Candida galactose gene activator, orf19.4959) and transcription of the GAL genes proceeds. Rep1 and Cga1 are conserved across the CTG species. Rep1 itself does not possess transcriptional activity. Instead, it provides a scaffold to recruit different factors for transcriptional regulation. Rep1-Cga1 mode of regulation represents a new example of network rewiring in fungi, which provides insight into how C. albicans evolves transcriptional programs to colonize diverse host niches.
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Affiliation(s)
- Xun Sun
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan UniversityWuhanChina
| | - Jing Yu
- Hubei Key Laboratory of Cell Homeostasis, Wuhan UniversityWuhanChina
| | - Cheng Zhu
- Tianjin Key Laboratory of Function and Application of Biological Macromolecular Structures, Tianjin UniversityTianjinChina
| | - Xinreng Mo
- Hubei Key Laboratory of Cell Homeostasis, Wuhan UniversityWuhanChina
| | - Qiangqiang Sun
- Hubei Key Laboratory of Cell Homeostasis, Wuhan UniversityWuhanChina
| | - Dandan Yang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan UniversityWuhanChina
| | - Chang Su
- Hubei Key Laboratory of Cell Homeostasis, Wuhan UniversityWuhanChina
| | - Yang Lu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan UniversityWuhanChina
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5
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Kress A, Poch O, Lecompte O, Thompson JD. Real or fake? Measuring the impact of protein annotation errors on estimates of domain gain and loss events. FRONTIERS IN BIOINFORMATICS 2023; 3:1178926. [PMID: 37151482 PMCID: PMC10158824 DOI: 10.3389/fbinf.2023.1178926] [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: 03/03/2023] [Accepted: 04/05/2023] [Indexed: 05/09/2023] Open
Abstract
Protein annotation errors can have significant consequences in a wide range of fields, ranging from protein structure and function prediction to biomedical research, drug discovery, and biotechnology. By comparing the domains of different proteins, scientists can identify common domains, classify proteins based on their domain architecture, and highlight proteins that have evolved differently in one or more species or clades. However, genome-wide identification of different protein domain architectures involves a complex error-prone pipeline that includes genome sequencing, prediction of gene exon/intron structures, and inference of protein sequences and domain annotations. Here we developed an automated fact-checking approach to distinguish true domain loss/gain events from false events caused by errors that occur during the annotation process. Using genome-wide ortholog sets and taking advantage of the high-quality human and Saccharomyces cerevisiae genome annotations, we analyzed the domain gain and loss events in the predicted proteomes of 9 non-human primates (NHP) and 20 non-S. cerevisiae fungi (NSF) as annotated in the Uniprot and Interpro databases. Our approach allowed us to quantify the impact of errors on estimates of protein domain gains and losses, and we show that domain losses are over-estimated ten-fold and three-fold in the NHP and NSF proteins respectively. This is in line with previous studies of gene-level losses, where issues with genome sequencing or gene annotation led to genes being falsely inferred as absent. In addition, we show that insistent protein domain annotations are a major factor contributing to the false events. For the first time, to our knowledge, we show that domain gains are also over-estimated by three-fold and two-fold respectively in NHP and NSF proteins. Based on our more accurate estimates, we infer that true domain losses and gains in NHP with respect to humans are observed at similar rates, while domain gains in the more divergent NSF are observed twice as frequently as domain losses with respect to S. cerevisiae. This study highlights the need to critically examine the scientific validity of protein annotations, and represents a significant step toward scalable computational fact-checking methods that may 1 day mitigate the propagation of wrong information in protein databases.
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6
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The evolution of the GALactose utilization pathway in budding yeasts. Trends Genet 2022; 38:97-106. [PMID: 34538504 PMCID: PMC8678326 DOI: 10.1016/j.tig.2021.08.013] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/20/2021] [Accepted: 08/24/2021] [Indexed: 01/03/2023]
Abstract
The Leloir galactose utilization or GAL pathway of budding yeasts, including that of the baker's yeast Saccharomyces cerevisiae and the opportunistic human pathogen Candida albicans, breaks down the sugar galactose for energy and biomass production. The GAL pathway has long served as a model system for understanding how eukaryotic metabolic pathways, including their modes of regulation, evolve. More recently, the physical linkage of the structural genes GAL1, GAL7, and GAL10 in diverse budding yeast genomes has been used as a model for understanding the evolution of gene clustering. In this review, we summarize exciting recent work on three different aspects of this iconic pathway's evolution: gene cluster organization, GAL gene regulation, and the population genetics of the GAL pathway.
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7
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Macías LG, Flores MG, Adam AC, Rodríguez ME, Querol A, Barrio E, Lopes CA, Pérez-Torrado R. Convergent adaptation of Saccharomyces uvarum to sulfite, an antimicrobial preservative widely used in human-driven fermentations. PLoS Genet 2021; 17:e1009872. [PMID: 34762651 PMCID: PMC8631656 DOI: 10.1371/journal.pgen.1009872] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 11/30/2021] [Accepted: 10/11/2021] [Indexed: 01/01/2023] Open
Abstract
Different species can find convergent solutions to adapt their genome to the same evolutionary constraints, although functional convergence promoted by chromosomal rearrangements in different species has not previously been found. In this work, we discovered that two domesticated yeast species, Saccharomyces cerevisiae, and Saccharomyces uvarum, acquired chromosomal rearrangements to convergently adapt to the presence of sulfite in fermentation environments. We found two new heterologous chromosomal translocations in fermentative strains of S. uvarum at the SSU1 locus, involved in sulfite resistance, an antimicrobial additive widely used in food production. These are convergent events that share similarities with other SSU1 locus chromosomal translocations previously described in domesticated S. cerevisiae strains. In S. uvarum, the newly described VIIXVI and XIXVI chromosomal translocations generate an overexpression of the SSU1 gene and confer increased sulfite resistance. This study highlights the relevance of chromosomal rearrangements to promote the adaptation of yeast to anthropic environments. It is known that genetically distant species can arrive to similar evolutionary solutions during the adaptation to a specific environment, a phenomena known as convergent adaptation, and this frequently occurs after point mutations, gene duplications, or species hybridizations. In this work, we discovered a new example of convergent evolution in the adaptation of two wine fermentation yeast species to the presence of sulfite, an antimicrobial additive widely used in food production. We observed that two species, Saccharomyces cerevisiae and Saccharomyces uvarum, acquired chromosomal rearrangements to convergently adapt to the presence of sulfite in fermentative environments. We describe new chromosomal translocations in S. uvarum strains that generate an overexpression of the SSU1 gene and confer increased sulfite resistance, a similar event that was already described in S. cerevisiae. Overall, this study describes a new case of convergent evolution in which the chromosomal rearrangements have a significant role in the adaptation of yeast to an environment created by humans to produce food.
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Affiliation(s)
- Laura G. Macías
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, Spain
- Departament de Genètica, Universitat de València, Valencia, Spain
| | - Melisa González Flores
- Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas (PROBIEN, Consejo Nacional de Investigaciones Científicas y Técnicas de la República Argentina–Universidad Nacional del Comahue), Neuquén, Argentina
- Facultad de Ciencias Agrarias, Universidad Nacional del Comahue, Cinco Saltos, Río Negro, Argentina
| | - Ana Cristina Adam
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, Spain
| | - María E. Rodríguez
- Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas (PROBIEN, Consejo Nacional de Investigaciones Científicas y Técnicas de la República Argentina–Universidad Nacional del Comahue), Neuquén, Argentina
- Facultad de Ciencias Médicas, Universidad Nacional del Comahue, Cipolletti, Río Negro, Argentina
| | - Amparo Querol
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, Spain
| | - Eladio Barrio
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, Spain
- Departament de Genètica, Universitat de València, Valencia, Spain
| | - Christian Ariel Lopes
- Instituto de Investigación y Desarrollo en Ingeniería de Procesos, Biotecnología y Energías Alternativas (PROBIEN, Consejo Nacional de Investigaciones Científicas y Técnicas de la República Argentina–Universidad Nacional del Comahue), Neuquén, Argentina
- Facultad de Ciencias Agrarias, Universidad Nacional del Comahue, Cinco Saltos, Río Negro, Argentina
| | - Roberto Pérez-Torrado
- Instituto de Agroquímica y Tecnología de los Alimentos, IATA-CSIC, Paterna, Spain
- * E-mail:
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Haase MAB, Kominek J, Opulente DA, Shen XX, LaBella AL, Zhou X, DeVirgilio J, Hulfachor AB, Kurtzman CP, Rokas A, Hittinger CT. Repeated horizontal gene transfer of GALactose metabolism genes violates Dollo's law of irreversible loss. Genetics 2021; 217:6007471. [PMID: 33724406 DOI: 10.1093/genetics/iyaa012] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 11/05/2020] [Indexed: 12/21/2022] Open
Abstract
Dollo's law posits that evolutionary losses are irreversible, thereby narrowing the potential paths of evolutionary change. While phenotypic reversals to ancestral states have been observed, little is known about their underlying genetic causes. The genomes of budding yeasts have been shaped by extensive reductive evolution, such as reduced genome sizes and the losses of metabolic capabilities. However, the extent and mechanisms of trait reacquisition after gene loss in yeasts have not been thoroughly studied. Here, through phylogenomic analyses, we reconstructed the evolutionary history of the yeast galactose utilization pathway and observed widespread and repeated losses of the ability to utilize galactose, which occurred concurrently with the losses of GALactose (GAL) utilization genes. Unexpectedly, we detected multiple galactose-utilizing lineages that were deeply embedded within clades that underwent ancient losses of galactose utilization. We show that at least two, and possibly three, lineages reacquired the GAL pathway via yeast-to-yeast horizontal gene transfer. Our results show how trait reacquisition can occur tens of millions of years after an initial loss via horizontal gene transfer from distant relatives. These findings demonstrate that the losses of complex traits and even whole pathways are not always evolutionary dead-ends, highlighting how reversals to ancestral states can occur.
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Affiliation(s)
- Max A B Haase
- 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 53726, USA
- Vilcek Institute of Graduate Biomedical Sciences and Institute for Systems Genetics, NYU Langone Health, New York, NY 10016, USA
| | - Jacek Kominek
- 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 53726, USA
| | - Dana A Opulente
- 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 53726, USA
| | - Xing-Xing Shen
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- State Key Laboratory of Rice Biology and Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Institute of Insect Sciences, Zhejiang University, Hangzhou 310058, China
| | - Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Xiaofan Zhou
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, 510642 Guangzhou, China
| | - Jeremy DeVirgilio
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, Peoria, IL 61604, USA
| | - Amanda Beth Hulfachor
- 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 53726, USA
| | - Cletus P Kurtzman
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, Peoria, IL 61604, USA
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - 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 53726, USA
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9
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Alsammar H, Delneri D. An update on the diversity, ecology and biogeography of the Saccharomyces genus. FEMS Yeast Res 2021; 20:5810663. [PMID: 32196094 PMCID: PMC7150579 DOI: 10.1093/femsyr/foaa013] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 03/19/2020] [Indexed: 12/14/2022] Open
Abstract
Saccharomyces cerevisiae is the most extensively studied yeast and, over the last century, provided insights on the physiology, genetics, cellular biology and molecular mechanisms of eukaryotes. More recently, the increase in the discovery of wild strains, species and hybrids of the genus Saccharomyces has shifted the attention towards studies on genome evolution, ecology and biogeography, with the yeast becoming a model system for population genomic studies. The genus currently comprises eight species, some of clear industrial importance, while others are confined to natural environments, such as wild forests devoid from human domestication activities. To date, numerous studies showed that some Saccharomyces species form genetically diverged populations that are structured by geography, ecology or domestication activity and that the yeast species can also hybridize readily both in natural and domesticated environments. Much emphasis is now placed on the evolutionary process that drives phenotypic diversity between species, hybrids and populations to allow adaptation to different niches. Here, we provide an update of the biodiversity, ecology and population structure of the Saccharomyces species, and recapitulate the current knowledge on the natural history of Saccharomyces genus.
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Affiliation(s)
- Haya Alsammar
- Department of Biological Sciences, Faculty of Science, Kuwait University, P. O. Box 5969, Safat 13060, Kuwait
| | - Daniela Delneri
- Manchester Institute of Biotechnology, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, M1 7DN, UK
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10
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Razin SV, Ioudinkova ES, Kantidze OL, Iarovaia OV. Co-Regulated Genes and Gene Clusters. Genes (Basel) 2021; 12:907. [PMID: 34208174 PMCID: PMC8230824 DOI: 10.3390/genes12060907] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 12/27/2022] Open
Abstract
There are many co-regulated genes in eukaryotic cells. The coordinated activation or repression of such genes occurs at specific stages of differentiation, or under the influence of external stimuli. As a rule, co-regulated genes are dispersed in the genome. However, there are also gene clusters, which contain paralogous genes that encode proteins with similar functions. In this aspect, they differ significantly from bacterial operons containing functionally linked genes that are not paralogs. In this review, we discuss the reasons for the existence of gene clusters in vertebrate cells and propose that clustering is necessary to ensure the possibility of selective activation of one of several similar genes.
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Affiliation(s)
- Sergey V. Razin
- Institute of Gene Biology Russian Academy of Sciences, 119334 Moscow, Russia; (E.S.I.); (O.L.K.); (O.V.I.)
- Faculty of Biology, M.V. Lomonosov Moscow State University, 119234 Moscow, Russia
| | - Elena S. Ioudinkova
- Institute of Gene Biology Russian Academy of Sciences, 119334 Moscow, Russia; (E.S.I.); (O.L.K.); (O.V.I.)
| | - Omar L. Kantidze
- Institute of Gene Biology Russian Academy of Sciences, 119334 Moscow, Russia; (E.S.I.); (O.L.K.); (O.V.I.)
| | - Olga V. Iarovaia
- Institute of Gene Biology Russian Academy of Sciences, 119334 Moscow, Russia; (E.S.I.); (O.L.K.); (O.V.I.)
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11
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Naumova ES, Borovkova AN, Shalamitskiy MY, Naumov GI. Natural Polymorphism of Pectinase PGU Genes in the Saccharomyces Yeasts. Microbiology (Reading) 2021. [DOI: 10.1134/s0026261721030085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
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12
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Perochon A, Benbow HR, Ślęczka-Brady K, Malla KB, Doohan FM. Analysis of the chromosomal clustering of Fusarium-responsive wheat genes uncovers new players in the defence against head blight disease. Sci Rep 2021; 11:7446. [PMID: 33811222 PMCID: PMC8018971 DOI: 10.1038/s41598-021-86362-4] [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: 10/01/2020] [Accepted: 03/08/2021] [Indexed: 11/17/2022] Open
Abstract
There is increasing evidence that some functionally related, co-expressed genes cluster within eukaryotic genomes. We present a novel pipeline that delineates such eukaryotic gene clusters. Using this tool for bread wheat, we uncovered 44 clusters of genes that are responsive to the fungal pathogen Fusarium graminearum. As expected, these Fusarium-responsive gene clusters (FRGCs) included metabolic gene clusters, many of which are associated with disease resistance, but hitherto not described for wheat. However, the majority of the FRGCs are non-metabolic, many of which contain clusters of paralogues, including those implicated in plant disease responses, such as glutathione transferases, MAP kinases, and germin-like proteins. 20 of the FRGCs encode nonhomologous, non-metabolic genes (including defence-related genes). One of these clusters includes the characterised Fusarium resistance orphan gene, TaFROG. Eight of the FRGCs map within 6 FHB resistance loci. One small QTL on chromosome 7D (4.7 Mb) encodes eight Fusarium-responsive genes, five of which are within a FRGC. This study provides a new tool to identify genomic regions enriched in genes responsive to specific traits of interest and applied herein it highlighted gene families, genetic loci and biological pathways of importance in the response of wheat to disease.
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Affiliation(s)
- Alexandre Perochon
- UCD School of Biology and Environmental Science and Earth Institute, College of Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Harriet R Benbow
- UCD School of Biology and Environmental Science and Earth Institute, College of Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Katarzyna Ślęczka-Brady
- UCD School of Biology and Environmental Science and Earth Institute, College of Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Keshav B Malla
- UCD School of Biology and Environmental Science and Earth Institute, College of Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Fiona M Doohan
- UCD School of Biology and Environmental Science and Earth Institute, College of Science, University College Dublin, Belfield, Dublin 4, Ireland.
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13
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LaBella AL, Opulente DA, Steenwyk JL, Hittinger CT, Rokas A. Signatures of optimal codon usage in metabolic genes inform budding yeast ecology. PLoS Biol 2021; 19:e3001185. [PMID: 33872297 PMCID: PMC8084343 DOI: 10.1371/journal.pbio.3001185] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Revised: 04/29/2021] [Accepted: 03/15/2021] [Indexed: 02/06/2023] Open
Abstract
Reverse ecology is the inference of ecological information from patterns of genomic variation. One rich, heretofore underutilized, source of ecologically relevant genomic information is codon optimality or adaptation. Bias toward codons that match the tRNA pool is robustly associated with high gene expression in diverse organisms, suggesting that codon optimization could be used in a reverse ecology framework to identify highly expressed, ecologically relevant genes. To test this hypothesis, we examined the relationship between optimal codon usage in the classic galactose metabolism (GAL) pathway and known ecological niches for 329 species of budding yeasts, a diverse subphylum of fungi. We find that optimal codon usage in the GAL pathway is positively correlated with quantitative growth on galactose, suggesting that GAL codon optimization reflects increased capacity to grow on galactose. Optimal codon usage in the GAL pathway is also positively correlated with human-associated ecological niches in yeasts of the CUG-Ser1 clade and with dairy-associated ecological niches in the family Saccharomycetaceae. For example, optimal codon usage of GAL genes is greater than 85% of all genes in the genome of the major human pathogen Candida albicans (CUG-Ser1 clade) and greater than 75% of genes in the genome of the dairy yeast Kluyveromyces lactis (family Saccharomycetaceae). We further find a correlation between optimization in the GALactose pathway genes and several genes associated with nutrient sensing and metabolism. This work suggests that codon optimization harbors information about the metabolic ecology of microbial eukaryotes. This information may be particularly useful for studying fungal dark matter-species that have yet to be cultured in the lab or have only been identified by genomic material.
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Affiliation(s)
- Abigail Leavitt LaBella
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Dana A. Opulente
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Jacob L. Steenwyk
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Chris Todd Hittinger
- Laboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, Center for Genomic Science Innovation, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
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14
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Venkatesh A, Murray AL, Coughlan AY, Wolfe KH. Giant GAL gene clusters for the melibiose-galactose pathway in Torulaspora. Yeast 2021; 38:117-126. [PMID: 33141945 PMCID: PMC7898345 DOI: 10.1002/yea.3532] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 10/20/2020] [Accepted: 10/23/2020] [Indexed: 12/19/2022] Open
Abstract
In many yeast species, the three genes at the centre of the galactose catabolism pathway, GAL1, GAL10 and GAL7, are neighbours in the genome and form a metabolic gene cluster. We report here that some yeast strains in the genus Torulaspora have much larger GAL clusters that include genes for melibiase (MEL1), galactose permease (GAL2), glucose transporter (HGT1), phosphoglucomutase (PGM1) and the transcription factor GAL4, in addition to GAL1, GAL10, and GAL7. Together, these eight genes encode almost all the steps in the pathway for catabolism of extracellular melibiose (a disaccharide of galactose and glucose). We show that a progenitor 5-gene cluster containing GAL 7-1-10-4-2 was likely present in the common ancestor of Torulaspora and Zygotorulaspora. It added PGM1 and MEL1 in the ancestor of most Torulaspora species. It underwent further expansion in the T. pretoriensis clade, involving the fusion of three progenitor clusters in tandem and the gain of HGT1. These giant GAL clusters are highly polymorphic in structure, and subject to horizontal transfers, pseudogenization and gene losses. We identify recent horizontal transfers of complete GAL clusters from T. franciscae into one strain of T. delbrueckii, and from a relative of T. maleeae into one strain of T. globosa. The variability and dynamic evolution of GAL clusters in Torulaspora indicates that there is strong natural selection on the GAL pathway in this genus.
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Affiliation(s)
- Anjan Venkatesh
- UCD Conway Institute and School of MedicineUniversity College DublinDublinIreland
| | - Anthony L. Murray
- UCD Conway Institute and School of MedicineUniversity College DublinDublinIreland
| | - Aisling Y. Coughlan
- UCD Conway Institute and School of MedicineUniversity College DublinDublinIreland
| | - Kenneth H. Wolfe
- UCD Conway Institute and School of MedicineUniversity College DublinDublinIreland
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15
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Drillon G, Champeimont R, Oteri F, Fischer G, Carbone A. Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies. Mol Biol Evol 2020; 37:2747-2762. [PMID: 32384156 PMCID: PMC7475045 DOI: 10.1093/molbev/msaa114] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Gene order can be used as an informative character to reconstruct phylogenetic relationships between species independently from the local information present in gene/protein sequences. PhyChro is a reconstruction method based on chromosomal rearrangements, applicable to a wide range of eukaryotic genomes with different gene contents and levels of synteny conservation. For each synteny breakpoint issued from pairwise genome comparisons, the algorithm defines two disjoint sets of genomes, named partial splits, respectively, supporting the two block adjacencies defining the breakpoint. Considering all partial splits issued from all pairwise comparisons, a distance between two genomes is computed from the number of partial splits separating them. Tree reconstruction is achieved through a bottom-up approach by iteratively grouping sister genomes minimizing genome distances. PhyChro estimates branch lengths based on the number of synteny breakpoints and provides confidence scores for the branches. PhyChro performance is evaluated on two data sets of 13 vertebrates and 21 yeast genomes by using up to 130,000 and 179,000 breakpoints, respectively, a scale of genomic markers that has been out of reach until now. PhyChro reconstructs very accurate tree topologies even at known problematic branching positions. Its robustness has been benchmarked for different synteny block reconstruction methods. On simulated data PhyChro reconstructs phylogenies perfectly in almost all cases, and shows the highest accuracy compared with other existing tools. PhyChro is very fast, reconstructing the vertebrate and yeast phylogenies in <15 min.
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Affiliation(s)
- Guénola Drillon
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative—UMR 7238, Paris, France, Paris, France
| | - Raphaël Champeimont
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative—UMR 7238, Paris, France, Paris, France
| | - Francesco Oteri
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative—UMR 7238, Paris, France, Paris, France
| | - Gilles Fischer
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative—UMR 7238, Paris, France, Paris, France
| | - Alessandra Carbone
- Sorbonne Université, CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative—UMR 7238, Paris, France, Paris, France
- Institut Universitaire de France, Paris, France
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16
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Aligning functional network constraint to evolutionary outcomes. BMC Evol Biol 2020; 20:58. [PMID: 32448114 PMCID: PMC7245893 DOI: 10.1186/s12862-020-01613-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 04/15/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Functional constraint through genomic architecture is suggested to be an important dimension of genome evolution, but quantitative evidence for this idea is rare. In this contribution, existing evidence and discussions on genomic architecture as constraint for convergent evolution, rapid adaptation, and genic adaptation are summarized into alternative, testable hypotheses. Network architecture statistics from protein-protein interaction networks are then used to calculate differences in evolutionary outcomes on the example of genomic evolution in yeast, and the results are used to evaluate statistical support for these longstanding hypotheses. RESULTS A discriminant function analysis lent statistical support to classifying the yeast interactome into hub, intermediate and peripheral nodes based on network neighborhood connectivity, betweenness centrality, and average shortest path length. Quantitative support for the existence of genomic architecture as a mechanistic basis for evolutionary constraint is then revealed through utilizing these statistical parameters of the protein-protein interaction network in combination with estimators of protein evolution. CONCLUSIONS As functional genetic networks are becoming increasingly available, it will now be possible to evaluate functional genetic network constraint against variables describing complex phenotypes and environments, for better understanding of commonly observed deterministic patterns of evolution in non-model organisms. The hypothesis framework and methodological approach outlined herein may help to quantify the extrinsic versus intrinsic dimensions of evolutionary constraint, and result in a better understanding of how fast, effectively, or deterministically organisms adapt.
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17
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Rokas A, Wisecaver JH, Lind AL. The birth, evolution and death of metabolic gene clusters in fungi. Nat Rev Microbiol 2019; 16:731-744. [PMID: 30194403 DOI: 10.1038/s41579-018-0075-3] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Fungi contain a remarkable diversity of both primary and secondary metabolic pathways involved in ecologically specialized or accessory functions. Genes in these pathways are frequently physically linked on fungal chromosomes, forming metabolic gene clusters (MGCs). In this Review, we describe the diversity in the structure and content of fungal MGCs, their population-level and species-level variation, the evolutionary mechanisms that underlie their formation, maintenance and decay, and their ecological and evolutionary impact on fungal populations. We also discuss MGCs from other eukaryotes and the reasons for their preponderance in fungi. Improved knowledge of the evolutionary life cycle of MGCs will advance our understanding of the ecology of specialized metabolism and of the interplay between the lifestyle of an organism and genome architecture.
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Affiliation(s)
- Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA. .,Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.
| | - Jennifer H Wisecaver
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, USA.,Department of Biochemistry, Purdue University, West Lafayette, IN, USA
| | - Abigail L Lind
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA.,Gladstone Institutes, San Francisco, CA, USA
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18
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Kuang MC, Kominek J, Alexander WG, Cheng JF, Wrobel RL, Hittinger CT. Repeated Cis-Regulatory Tuning of a Metabolic Bottleneck Gene during Evolution. Mol Biol Evol 2019; 35:1968-1981. [PMID: 29788479 PMCID: PMC6063270 DOI: 10.1093/molbev/msy102] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Repeated evolutionary events imply underlying genetic constraints that can make evolutionary mechanisms predictable. Morphological traits are thought to evolve frequently through cis-regulatory changes because these mechanisms bypass constraints in pleiotropic genes that are reused during development. In contrast, the constraints acting on metabolic traits during evolution are less well studied. Here we show how a metabolic bottleneck gene has repeatedly adopted similar cis-regulatory solutions during evolution, likely due to its pleiotropic role integrating flux from multiple metabolic pathways. Specifically, the genes encoding phosphoglucomutase activity (PGM1/PGM2), which connect GALactose catabolism to glycolysis, have gained and lost direct regulation by the transcription factor Gal4 several times during yeast evolution. Through targeted mutations of predicted Gal4-binding sites in yeast genomes, we show this galactose-mediated regulation of PGM1/2 supports vigorous growth on galactose in multiple yeast species, including Saccharomyces uvarum and Lachancea kluyveri. Furthermore, the addition of galactose-inducible PGM1 alone is sufficient to improve the growth on galactose of multiple species that lack this regulation, including Saccharomyces cerevisiae. The strong association between regulation of PGM1/2 by Gal4 even enables remarkably accurate predictions of galactose growth phenotypes between closely related species. This repeated mode of evolution suggests that this specific cis-regulatory connection is a common way that diverse yeasts can govern flux through the pathway, likely due to the constraints imposed by this pleiotropic bottleneck gene. Since metabolic pathways are highly interconnected, we argue that cis-regulatory evolution might be widespread at pleiotropic genes that control metabolic bottlenecks and intersections.
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Affiliation(s)
- Meihua Christina Kuang
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI.,Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI
| | - Jacek Kominek
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI
| | - William G Alexander
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI
| | | | - Russell L Wrobel
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI
| | - Chris Todd Hittinger
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI.,Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI
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19
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Steenwyk JL, Opulente DA, Kominek J, Shen XX, Zhou X, Labella AL, Bradley NP, Eichman BF, Čadež N, Libkind D, DeVirgilio J, Hulfachor AB, Kurtzman CP, Hittinger CT, Rokas A. Extensive loss of cell-cycle and DNA repair genes in an ancient lineage of bipolar budding yeasts. PLoS Biol 2019; 17:e3000255. [PMID: 31112549 PMCID: PMC6528967 DOI: 10.1371/journal.pbio.3000255] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 04/18/2019] [Indexed: 02/06/2023] Open
Abstract
Cell-cycle checkpoints and DNA repair processes protect organisms from potentially lethal mutational damage. Compared to other budding yeasts in the subphylum Saccharomycotina, we noticed that a lineage in the genus Hanseniaspora exhibited very high evolutionary rates, low Guanine-Cytosine (GC) content, small genome sizes, and lower gene numbers. To better understand Hanseniaspora evolution, we analyzed 25 genomes, including 11 newly sequenced, representing 18/21 known species in the genus. Our phylogenomic analyses identify two Hanseniaspora lineages, a faster-evolving lineage (FEL), which began diversifying approximately 87 million years ago (mya), and a slower-evolving lineage (SEL), which began diversifying approximately 54 mya. Remarkably, both lineages lost genes associated with the cell cycle and genome integrity, but these losses were greater in the FEL. E.g., all species lost the cell-cycle regulator WHIskey 5 (WHI5), and the FEL lost components of the spindle checkpoint pathway (e.g., Mitotic Arrest-Deficient 1 [MAD1], Mitotic Arrest-Deficient 2 [MAD2]) and DNA-damage-checkpoint pathway (e.g., Mitosis Entry Checkpoint 3 [MEC3], RADiation sensitive 9 [RAD9]). Similarly, both lineages lost genes involved in DNA repair pathways, including the DNA glycosylase gene 3-MethylAdenine DNA Glycosylase 1 (MAG1), which is part of the base-excision repair pathway, and the DNA photolyase gene PHotoreactivation Repair deficient 1 (PHR1), which is involved in pyrimidine dimer repair. Strikingly, the FEL lost 33 additional genes, including polymerases (i.e., POLymerase 4 [POL4] and POL32) and telomere-associated genes (e.g., Repressor/activator site binding protein-Interacting Factor 1 [RIF1], Replication Factor A 3 [RFA3], Cell Division Cycle 13 [CDC13], Pbp1p Binding Protein [PBP2]). Echoing these losses, molecular evolutionary analyses reveal that, compared to the SEL, the FEL stem lineage underwent a burst of accelerated evolution, which resulted in greater mutational loads, homopolymer instabilities, and higher fractions of mutations associated with the common endogenously damaged base, 8-oxoguanine. We conclude that Hanseniaspora is an ancient lineage that has diversified and thrived, despite lacking many otherwise highly conserved cell-cycle and genome integrity genes and pathways, and may represent a novel, to our knowledge, system for studying cellular life without them.
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Affiliation(s)
- Jacob L Steenwyk
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Dana A Opulente
- Laboratory of Genetics, Genome Center of Wisconsin, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Wisconsin, United States of America
| | - Jacek Kominek
- Laboratory of Genetics, Genome Center of Wisconsin, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Wisconsin, United States of America
| | - Xing-Xing Shen
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Xiaofan Zhou
- Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China
| | - Abigail L Labella
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Noah P Bradley
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Brandt F Eichman
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Neža Čadež
- University of Ljubljana Biotechnical Faculty, Department of Food Science and Technology, University of Ljubljana, Ljubljana, Slovenia
| | - Diego Libkind
- Laboratorio de Microbiología Aplicada, Biotecnología y Bioinformática, Instituto Andino Patagónico de Tecnologías Biológicas y Geoambientales, Universidad Nacional del Comahue-CONICET, San Carlos de Bariloche, Río Negro, Argentina
| | - Jeremy DeVirgilio
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, United States Department of Agriculture, Peoria, Illinois, United States of America
| | - Amanda Beth Hulfachor
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Wisconsin, United States of America
| | - Cletus P Kurtzman
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, United States Department of Agriculture, Peoria, Illinois, United States of America
| | - Chris Todd Hittinger
- Laboratory of Genetics, Genome Center of Wisconsin, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Wisconsin, United States of America
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
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20
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Fahad S, Khan FA, Pandupuspitasari N, Hussain S, Khan IA, Saeed M, Saud S, Hassan S, Adnan M, Arif M, Alam M, Ullah H, Hakeem KR, Alharby H, Riaz M, Sameeullah M, Hammad HM, Nasim W, Ahmad S, Afzal M, Alghamdi SS, Bamagoos AA, Abd Allah EF, Huang J. Suppressing photorespiration for the improvement in photosynthesis and crop yields: A review on the role of S-allantoin as a nitrogen source. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 237:644-651. [PMID: 30870683 DOI: 10.1016/j.jenvman.2019.02.082] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 02/12/2019] [Accepted: 02/17/2019] [Indexed: 06/09/2023]
Abstract
Environmental variations resulting in biotic and abiotic stresses demand adaptive changes in the photosynthetic machinery. To cope with these challenges, plant scientists are constantly striving to enhance photosynthetic activity. The photorespiration pathway, which fixes O2 and releases CO2 in C3 plants, competes with photosynthesis. One method to increase yield would be to enhance photosynthesis by engineering the photorespiratory pathway. To date, three engineered photorespiratory pathways have been produced, of which two have been proven experimentally in the model plant, Arabidopsis thaliana. These approaches might be helpful in enhancing crop resilience to future environmental challenges. In partially photorespiratory suppressed plants, it is hypothesized that a gene cluster may have formed between bacterial glycolate dehydrogenase (GDH), glyoxylate carboligase (GCL), and tartronic semi aldehyde (TSR) genes with Arabidopsis allantoin degradation genes like Arabidopsis allantoinase (AtALN) to utilize S-allantoin as a source of nitrogen. Observations of the use of allantoin as an exclusive source of nitrogen or energy by Arabidopsis and Escherichia coli led us to propose a genetic switch control model between nitrogen assimilation and energy producing pathways in partially photorespiratory suppressed plants.
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Affiliation(s)
- Shah Fahad
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China; Department of Agriculture, The University of Swabi, Pakistan.
| | - Faheem Ahmed Khan
- Molecular Biotechnology Laboratory for Triticeae Crops, Huazhong Agricultural University, Wuhan, China; Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction, Huazhong Agricultural University, Wuhan, 430070, China
| | | | - Saddam Hussain
- Department of Agronomy, University of Agriculture, Faisalabad, Pakistan
| | - Imtiaz Ali Khan
- Department of Agriculture, The University of Swabi, Pakistan
| | - Muhammad Saeed
- Department of Agriculture, The University of Swabi, Pakistan
| | - Shah Saud
- Department of Horticultural, Northeast Agricultural University, Harbin, 150030, China
| | - Shah Hassan
- Agriculture Extension Department, The University of Agriculture, Peshawar, 25000, Pakistan
| | - Muhammad Adnan
- Department of Agriculture, The University of Swabi, Pakistan
| | - Muhammad Arif
- Department of Agronomy, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25000, Pakistan
| | - Mukhtar Alam
- Department of Agriculture, The University of Swabi, Pakistan
| | - Hidayat Ullah
- Department of Agriculture, The University of Swabi, Pakistan
| | - Khalid Rehman Hakeem
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, 21589, Jeddah, Saudi Arabia
| | - Hesham Alharby
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, 21589, Jeddah, Saudi Arabia
| | - Muhammad Riaz
- Department of Environmental Sciences and Engineering, Government College University Faisalabad, Allama Iqbal Road, Faisalabad, Pakistan
| | - Muhammad Sameeullah
- Department of Horticulture, Faculty of Agricultural and Natural Sciences, Abant Izzet Baysal University, Bolu, Turkey
| | - Hafiz Mohkum Hammad
- Department of Environmental Sciences, COMSATS University Islamabad, 61100, Vehari Campus, Pakistan
| | - Wajid Nasim
- Department of Environmental Sciences, COMSATS University Islamabad, 61100, Vehari Campus, Pakistan
| | - Shakeel Ahmad
- Bahauddin Zakariya University Multan, 60800, Pakistan
| | - Muhammad Afzal
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Salem Safer Alghamdi
- Plant Production Department, College of Food and Agricultural Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Atif A Bamagoos
- Department of Biological Sciences, Faculty of Science, King Abdulaziz University, 21589, Jeddah, Saudi Arabia
| | - Elsayed Fathi Abd Allah
- Department of Crop Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, Al-Khoud-123, Oman
| | - Jianliang Huang
- College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, Hubei, 430070, China; Hubei Collaborative Innovation Center for Grain Industry, Yangtze University, Hubei, China.
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21
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Duan SF, Shi JY, Yin Q, Zhang RP, Han PJ, Wang QM, Bai FY. Reverse Evolution of a Classic Gene Network in Yeast Offers a Competitive Advantage. Curr Biol 2019; 29:1126-1136.e5. [PMID: 30905601 DOI: 10.1016/j.cub.2019.02.038] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2018] [Revised: 01/04/2019] [Accepted: 02/15/2019] [Indexed: 11/26/2022]
Abstract
Glucose repression is a central regulatory system in yeast that ensures the utilization of carbon sources in a highly economical manner. The galactose (GAL) metabolism network is stringently regulated by glucose repression in yeast and has been a classic system for studying gene regulation. We show here that a Saccharomyces cerevisiae (S. cerevisiae) lineage in spontaneously fermented milk has swapped all its structural GAL genes (GAL2 and the GAL7-10-1 cluster) with early diverged versions through introgression. The rewired GAL network has abolished glucose repression and conversed from a strictly inducible to a constitutive system through polygenic changes in the regulatory components of the network, including a thymine (T) to cytosine (C) and a guanine (G) to adenine (A) transition in the upstream repressing sequence (URS) sites of GAL1 and GAL4, respectively, which impair Mig1p-mediated repression, loss of function of the repressor Gal80p through a T146I substitution in the protein, and subsequent futility of GAL3. Furthermore, the milk lineage of S. cerevisiae has achieved galactose-utilization rate elevation and galactose-over-glucose preference switch through the duplication of the introgressed GAL2 and the loss of function of the main glucose transporter genes HXT6 and HXT7. In addition, we demonstrate that GAL2 requires GAL7 or GAL10 for its expression, and Gal2p likely requires Gal1p for its transportation function in the milk lineage of S. cerevisiae. We show a clear case of reverse evolution of a classic gene network for ecological adaptation and provide new insights into the regulatory model of the canonical GAL network.
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Affiliation(s)
- Shou-Fu Duan
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, 19 A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Jun-Yan Shi
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, 19 A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Qi Yin
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, 19 A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Ri-Peng Zhang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, 19 A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Pei-Jie Han
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Qi-Ming Wang
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Feng-Yan Bai
- State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; College of Life Sciences, University of Chinese Academy of Sciences, 19 A Yuquan Road, Shijingshan District, Beijing 100049, China.
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22
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Van Ende M, Wijnants S, Van Dijck P. Sugar Sensing and Signaling in Candida albicans and Candida glabrata. Front Microbiol 2019; 10:99. [PMID: 30761119 PMCID: PMC6363656 DOI: 10.3389/fmicb.2019.00099] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 01/16/2019] [Indexed: 12/30/2022] Open
Abstract
Candida species, such as Candida albicans and Candida glabrata, cause infections at different host sites because they adapt their metabolism depending on the available nutrients. They are able to proliferate under both nutrient-rich and nutrient-poor conditions. This adaptation is what makes these fungi successful pathogens. For both species, sugars are very important nutrients and as the sugar level differs depending on the host niche, different sugar sensing systems must be present. Saccharomyces cerevisiae has been used as a model for the identification of these sugar sensing systems. One of the main carbon sources for yeast is glucose, for which three different pathways have been described. First, two transporter-like proteins, ScSnf3 and ScRgt2, sense glucose levels resulting in the induction of different hexose transporter genes. This situation is comparable in C. albicans and C. glabrata, where sensing of glucose by CaHgt4 and CgSnf3, respectively, also results in hexose transporter gene induction. The second glucose sensing mechanism in S. cerevisiae is via the G-protein coupled receptor ScGpr1, which causes the activation of the cAMP/PKA pathway, resulting in rapid adaptation to the presence of glucose. The main components of this glucose sensing system are also conserved in C. albicans and C. glabrata. However, it seems that the ligand(s) for CaGpr1 are not sugars but lactate and methionine. In C. glabrata, this pathway has not yet been investigated. Finally, the glucose repression pathway ensures repression of respiration and repression of the use of alternative carbon sources. This pathway is not well characterized in Candida species. It is important to note that, apart from glucose, other sugars and sugar-analogs, such as N-acetylglucosamine in the case of C. albicans, are also important carbon sources. In these fungal pathogens, sensing sugars is important for a number of virulence attributes, including adhesion, oxidative stress resistance, biofilm formation, morphogenesis, invasion, and antifungal drug tolerance. In this review, the sugar sensing and signaling mechanisms in these Candida species are compared to S. cerevisiae.
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Affiliation(s)
- Mieke Van Ende
- Laboratory of Molecular Cell Biology, Institute of Botany and Microbiology, Department of Biology, KU Leuven, Leuven, Belgium
- VIB-KU Leuven Center for Microbiology, Leuven, Belgium
| | - Stefanie Wijnants
- Laboratory of Molecular Cell Biology, Institute of Botany and Microbiology, Department of Biology, KU Leuven, Leuven, Belgium
- VIB-KU Leuven Center for Microbiology, Leuven, Belgium
| | - Patrick Van Dijck
- Laboratory of Molecular Cell Biology, Institute of Botany and Microbiology, Department of Biology, KU Leuven, Leuven, Belgium
- VIB-KU Leuven Center for Microbiology, Leuven, Belgium
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23
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Shen XX, Opulente DA, Kominek J, Zhou X, Steenwyk JL, Buh KV, Haase MAB, Wisecaver JH, Wang M, Doering DT, Boudouris JT, Schneider RM, Langdon QK, Ohkuma M, Endoh R, Takashima M, Manabe RI, Čadež N, Libkind D, Rosa CA, DeVirgilio J, Hulfachor AB, Groenewald M, Kurtzman CP, Hittinger CT, Rokas A. Tempo and Mode of Genome Evolution in the Budding Yeast Subphylum. Cell 2018; 175:1533-1545.e20. [PMID: 30415838 DOI: 10.1016/j.cell.2018.10.023] [Citation(s) in RCA: 344] [Impact Index Per Article: 57.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Revised: 08/12/2018] [Accepted: 10/04/2018] [Indexed: 11/17/2022]
Abstract
Budding yeasts (subphylum Saccharomycotina) are found in every biome and are as genetically diverse as plants or animals. To understand budding yeast evolution, we analyzed the genomes of 332 yeast species, including 220 newly sequenced ones, which represent nearly one-third of all known budding yeast diversity. Here, we establish a robust genus-level phylogeny comprising 12 major clades, infer the timescale of diversification from the Devonian period to the present, quantify horizontal gene transfer (HGT), and reconstruct the evolution of 45 metabolic traits and the metabolic toolkit of the budding yeast common ancestor (BYCA). We infer that BYCA was metabolically complex and chronicle the tempo and mode of genomic and phenotypic evolution across the subphylum, which is characterized by very low HGT levels and widespread losses of traits and the genes that control them. More generally, our results argue that reductive evolution is a major mode of evolutionary diversification.
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Affiliation(s)
- Xing-Xing Shen
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Dana A Opulente
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Jacek Kominek
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Xiaofan Zhou
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, 510642 Guangzhou, China
| | - Jacob L Steenwyk
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Kelly V Buh
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Max A B Haase
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA; Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, NY 10016, USA
| | - Jennifer H Wisecaver
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA; Department of Biochemistry, Center for Plant Biology, Purdue University, West Lafayette, IN 47907, USA
| | - Mingshuang Wang
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
| | - Drew T Doering
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - James T Boudouris
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Rachel M Schneider
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Quinn K Langdon
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Moriya Ohkuma
- Japan Collection of Microorganisms, RIKEN BioResource Research Center, Tsukuba, Ibaraki 305-0074, Japan
| | - Rikiya Endoh
- Japan Collection of Microorganisms, RIKEN BioResource Research Center, Tsukuba, Ibaraki 305-0074, Japan
| | - Masako Takashima
- Japan Collection of Microorganisms, RIKEN BioResource Research Center, Tsukuba, Ibaraki 305-0074, Japan
| | - Ri-Ichiroh Manabe
- Division of Genomic Technologies, RIKEN Center For Life Science Technologies, Laboratory for Comprehensive Genomic Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa 230-0045, Japan
| | - Neža Čadež
- Biotechnical Faculty, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Diego Libkind
- Laboratorio de Microbiología Aplicada y Biotecnología, Instituto Andino Patagónico de Tecnologías Biológicas y Geoambientales (IPATEC), Consejo Nacional de Investigaciones, Científicas y Técnicas (CONICET)-Universidad Nacional del Comahue, 8400 Bariloche, Argentina
| | - Carlos A Rosa
- Departamento de Microbiologia, ICB, CP 486, Universidade Federal de Minas Gerais, Belo Horizonte, MG, 31270-901, Brazil
| | - Jeremy DeVirgilio
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, Peoria, IL 61604, USA
| | - Amanda Beth Hulfachor
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA
| | | | - Cletus P Kurtzman
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, Peoria, IL 61604, USA
| | - Chris Todd Hittinger
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J.F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI 53706, USA; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA.
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.
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24
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Ng J, Freitas LB, Smith SD. Stepwise evolution of floral pigmentation predicted by biochemical pathway structure. Evolution 2018; 72:2792-2802. [PMID: 30187462 DOI: 10.1111/evo.13589] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 08/11/2018] [Accepted: 08/18/2018] [Indexed: 02/06/2023]
Abstract
Developmental pathways play a major role in influencing the distribution of naturally occurring phenotypes. For example, pathway structure and regulation could make some phenotypes inaccessible or restrict the routes through which phenotypes evolve. In this study, we examine floral anthocyanin pigments across the Solanaceae family and test whether patterns of phenotypic variation are consistent with predicted constraints based on the structure of the flavonoid biosynthetic pathway. We find that anthocyanin evolution occurs in a stepwise manner whereby transitions between the production of red mono hydroxylated pelargonidin pigments and blue trihydroxylated delphinidin pigments first passes through an intermediate step of producing purple dihydroxylated cyanidin pigments. Although the transitions between these three pigment types differ in frequency, we infer that these shifts are often reversible, suggesting that the functionality of the underlying biochemical pathway is generally conserved. Furthermore, our study finds that some pigment combinations are never observed, pointing to additional constraints on naturally occurring phenotypes. Overall, our findings provide insights into how the structure of an angiosperm-wide biochemical pathway has shaped macroevolutionary variation in floral pigmentation.
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Affiliation(s)
- Julienne Ng
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, 80309
| | - Loreta B Freitas
- Laboratory of Molecular Evolution, Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, 91501, Brazil
| | - Stacey D Smith
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado, 80309
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25
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Haase MAB, Kominek J, Langdon QK, Kurtzman CP, Hittinger CT. Genome sequence and physiological analysis of Yamadazyma laniorum f.a. sp. nov. and a reevaluation of the apocryphal xylose fermentation of its sister species, Candida tenuis. FEMS Yeast Res 2018; 17:3737663. [PMID: 28419220 DOI: 10.1093/femsyr/fox019] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2017] [Accepted: 04/11/2017] [Indexed: 11/12/2022] Open
Abstract
Xylose fermentation is a rare trait that is immensely important to the cellulosic biofuel industry, and Candida tenuis is one of the few yeasts that has been reported with this trait. Here we report the isolation of two strains representing a candidate sister species to C. tenuis. Integrated analysis of genome sequence and physiology suggested the genetic basis of a number of traits, including variation between the novel species and C. tenuis in lactose metabolism due to the loss of genes encoding lactose permease and β-galactosidase in the former. Surprisingly, physiological characterization revealed that neither the type strain of C. tenuis nor this novel species fermented xylose in traditional assays. We reexamined three xylose-fermenting strains previously identified as C. tenuis and found that these strains belong to the genus Scheffersomyces and are not C. tenuis. We propose Yamadazyma laniorum f.a. sp. nov. to accommodate our new strains and designate its type strain as yHMH7 (=CBS 14780 = NRRL Y-63967T). Furthermore, we propose the transfer of Candida tenuis to the genus Yamadazyma as Yamadazyma tenuis comb. nov. This approach provides a roadmap for how integrated genome sequence and physiological analysis can yield insight into the mechanisms that generate yeast biodiversity.
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Affiliation(s)
- Max A B Haase
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53706, USA.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Jacek Kominek
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53706, USA.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Quinn K Langdon
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Cletus P Kurtzman
- National Center for Agricultural Utilization Research, ARS-USDA, 1815 North University St., Peoria, IL 61604, USA
| | - Chris Todd Hittinger
- Laboratory of Genetics, Genome Center of Wisconsin, J. F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, WI 53706, USA.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA
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26
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Opulente DA, Rollinson EJ, Bernick-Roehr C, Hulfachor AB, Rokas A, Kurtzman CP, Hittinger CT. Factors driving metabolic diversity in the budding yeast subphylum. BMC Biol 2018; 16:26. [PMID: 29499717 PMCID: PMC5833115 DOI: 10.1186/s12915-018-0498-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Accepted: 02/13/2018] [Indexed: 12/02/2022] Open
Abstract
Background Associations between traits are prevalent in nature, occurring across a diverse range of taxa and traits. Individual traits may co-evolve with one other, and these correlations can be driven by factors intrinsic or extrinsic to an organism. However, few studies, especially in microbes, have simultaneously investigated both across a broad taxonomic range. Here we quantify pairwise associations among 48 traits across 784 diverse yeast species of the ancient budding yeast subphylum Saccharomycotina, assessing the effects of phylogenetic history, genetics, and ecology. Results We find extensive negative (traits that tend to not occur together) and positive (traits that tend to co-occur) pairwise associations among traits, as well as between traits and environments. These associations can largely be explained by the biological properties of the traits, such as overlapping biochemical pathways. The isolation environments of the yeasts explain a minor but significant component of the variance, while phylogeny (the retention of ancestral traits in descendant species) plays an even more limited role. Positive correlations are pervasive among carbon utilization traits and track with chemical structures (e.g., glucosides and sugar alcohols) and metabolic pathways, suggesting a molecular basis for the presence of suites of traits. In several cases, characterized genes from model organisms suggest that enzyme promiscuity and overlapping biochemical pathways are likely mechanisms to explain these macroevolutionary trends. Interestingly, fermentation traits are negatively correlated with the utilization of pentose sugars, which are major components of the plant biomass degraded by fungi and present major bottlenecks to the production of cellulosic biofuels. Finally, we show that mammalian pathogenic and commensal yeasts have a suite of traits that includes growth at high temperature and, surprisingly, the utilization of a narrowed panel of carbon sources. Conclusions These results demonstrate how both intrinsic physiological factors and extrinsic ecological factors drive the distribution of traits present in diverse organisms across macroevolutionary timescales. Electronic supplementary material The online version of this article (10.1186/s12915-018-0498-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dana A Opulente
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, 53706, USA.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Emily J Rollinson
- Applied Biomathematics, Setauket, NY, 11733, USA.,Department of Biological Sciences, East Stroudsburg University of Pennsylvania, East Stroudsburg, PA, 18301, USA
| | - Cleome Bernick-Roehr
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Amanda Beth Hulfachor
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, 37235, USA.
| | - Cletus P Kurtzman
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, Peoria, IL, 61604, USA
| | - Chris Todd Hittinger
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, WI, 53706, USA. .,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, 53706, USA.
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27
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Genomic and transcriptomic analysis of the toluene degrading black yeast Cladophialophora immunda. Sci Rep 2017; 7:11436. [PMID: 28900256 PMCID: PMC5595782 DOI: 10.1038/s41598-017-11807-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 08/30/2017] [Indexed: 12/30/2022] Open
Abstract
Cladophialophora immunda is an ascomycotal species belonging to the group of the black yeasts. These fungi have a thick and melanized cell wall and other physiological adaptations that allows them to cope with several extreme physical and chemical conditions. Member of the group can colonize some of the most extremophilic environments on Earth. Cladophialophora immunda together with a few other species of the order Chaetothyriales show a special association with hydrocarbon polluted environments. The finding that the fungus is able to completely mineralize toluene makes it an interesting candidate for bioremediation purposes. The present study is the first transcriptomic investigation of a fungus grown in presence of toluene as sole carbon and energy source. We could observe the activation of genes involved in toluene degradatation and several stress response mechanisms which allowed the fungus to survive the toluene exposure. The thorough comparative genomics analysis allowed us to identify several events of horizontal gene transfer between bacteria and Cladophialophora immunda and unveil toluene degradation steps that were previously reported in bacteria. The work presented here aims to give new insights into the ecology of Cladophialophora immunda and its adaptation strategies to hydrocarbon polluted environments.
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Escalas A, Troussellier M, Yuan T, Bouvier T, Bouvier C, Mouchet MA, Flores Hernandez D, Ramos Miranda J, Zhou J, Mouillot D. Functional diversity and redundancy across fish gut, sediment and water bacterial communities. Environ Microbiol 2017; 19:3268-3282. [PMID: 28618142 DOI: 10.1111/1462-2920.13822] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 06/07/2017] [Indexed: 11/26/2022]
Abstract
This article explores the functional diversity and redundancy in a bacterial metacommunity constituted of three habitats (sediment, water column and fish gut) in a coastal lagoon under anthropogenic pressure. Comprehensive functional gene arrays covering a wide range of ecological processes and stress resistance genes to estimate the functional potential of bacterial communities were used. Then, diversity partitioning was used to characterize functional diversity and redundancy within (α), between (β) and across (γ) habitats. It was showed that all local communities exhibit a highly diversified potential for the realization of key ecological processes and resistance to various environmental conditions, supporting the growing evidence that macro-organisms microbiomes harbour a high functional potential and are integral components of functional gene dynamics in aquatic bacterial metacommunities. Several levels of functional redundancy at different scales of the bacterial metacommunity were observed (within local communities, within habitats and at the metacommunity level). The results suggested a high potential for the realization of spatial ecological insurance within this ecosystem, that is, the functional compensation among microorganisms for the realization and maintenance of key ecological processes, within and across habitats. Finally, the role of macro-organisms as dispersal vectors of microbes and their potential influence on marine metacommunity dynamics were discussed.
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Affiliation(s)
- Arthur Escalas
- Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Marc Troussellier
- UMR 9190 MARBEC, IRD-CNRS-UM-IFREMER, Université Montpellier, 34095 Montpellier Cedex, France
| | - Tong Yuan
- Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Thierry Bouvier
- UMR 9190 MARBEC, IRD-CNRS-UM-IFREMER, Université Montpellier, 34095 Montpellier Cedex, France
| | - Corinne Bouvier
- UMR 9190 MARBEC, IRD-CNRS-UM-IFREMER, Université Montpellier, 34095 Montpellier Cedex, France
| | - Maud A Mouchet
- UMR 7204 CESCO, Muséum d'Histoire Naturelle, 55 rue Buffon, Paris, 75005, France
| | - Domingo Flores Hernandez
- Centro de Ecología, Pesquerias y Oceanographia de Golfo de México, Universidad Autonoma de Campeche, Campeche, Mexico
| | - Julia Ramos Miranda
- Centro de Ecología, Pesquerias y Oceanographia de Golfo de México, Universidad Autonoma de Campeche, Campeche, Mexico
| | - Jizhong Zhou
- Institute for Environmental Genomics and Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA.,Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA.,State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
| | - David Mouillot
- UMR 9190 MARBEC, IRD-CNRS-UM-IFREMER, Université Montpellier, 34095 Montpellier Cedex, France.,Australian Research Council Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, QLD, 4811, Australia
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29
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Dujon BA, Louis EJ. Genome Diversity and Evolution in the Budding Yeasts (Saccharomycotina). Genetics 2017; 206:717-750. [PMID: 28592505 PMCID: PMC5499181 DOI: 10.1534/genetics.116.199216] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2016] [Accepted: 04/03/2017] [Indexed: 12/15/2022] Open
Abstract
Considerable progress in our understanding of yeast genomes and their evolution has been made over the last decade with the sequencing, analysis, and comparisons of numerous species, strains, or isolates of diverse origins. The role played by yeasts in natural environments as well as in artificial manufactures, combined with the importance of some species as model experimental systems sustained this effort. At the same time, their enormous evolutionary diversity (there are yeast species in every subphylum of Dikarya) sparked curiosity but necessitated further efforts to obtain appropriate reference genomes. Today, yeast genomes have been very informative about basic mechanisms of evolution, speciation, hybridization, domestication, as well as about the molecular machineries underlying them. They are also irreplaceable to investigate in detail the complex relationship between genotypes and phenotypes with both theoretical and practical implications. This review examines these questions at two distinct levels offered by the broad evolutionary range of yeasts: inside the best-studied Saccharomyces species complex, and across the entire and diversified subphylum of Saccharomycotina. While obviously revealing evolutionary histories at different scales, data converge to a remarkably coherent picture in which one can estimate the relative importance of intrinsic genome dynamics, including gene birth and loss, vs. horizontal genetic accidents in the making of populations. The facility with which novel yeast genomes can now be studied, combined with the already numerous available reference genomes, offer privileged perspectives to further examine these fundamental biological questions using yeasts both as eukaryotic models and as fungi of practical importance.
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Affiliation(s)
- Bernard A Dujon
- Department Genomes and Genetics, Institut Pasteur, Centre National de la Recherche Scientifique UMR3525, 75724-CEDEX15 Paris, France
- Université Pierre et Marie Curie UFR927, 75005 Paris, France
| | - Edward J Louis
- Centre for Genetic Architecture of Complex Traits, University of Leicester, LE1 7RH, United Kingdom
- Department of Genetics, University of Leicester, LE1 7RH, United Kingdom
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30
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Karanyicz E, Antunovics Z, Kallai Z, Sipiczki M. Non-introgressive genome chimerisation by malsegregation in autodiploidised allotetraploids during meiosis of Saccharomyces kudriavzevii x Saccharomyces uvarum hybrids. Appl Microbiol Biotechnol 2017; 101:4617-4633. [PMID: 28396924 DOI: 10.1007/s00253-017-8274-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 03/13/2017] [Accepted: 03/23/2017] [Indexed: 11/24/2022]
Abstract
Saccharomyces strains with chimerical genomes consisting of mosaics of the genomes of different species ("natural hybrids") occur quite frequently among industrial and wine strains. The most widely endorsed hypothesis is that the mosaics are introgressions acquired via hybridisation and repeated backcrosses of the hybrids with one of the parental species. However, the interspecies hybrids are sterile, unable to mate with their parents. Here, we show by analysing synthetic Saccharomyces kudriavzevii x Saccharomyces uvarum hybrids that mosaic (chimeric) genomes can arise without introgressive backcrosses. These species are biologically separated by a double sterility barrier (sterility of allodiploids and F1 sterility of allotetraploids). F1 sterility is due to the diploidisation of the tetraploid meiosis resulting in MAT a /MAT α heterozygosity which suppresses mating in the spores. This barrier can occasionally be broken down by malsegregation of autosyndetically paired chromosomes carrying the MAT loci (loss of MAT heterozygosity). Subsequent malsegregation of additional autosyndetically paired chromosomes and occasional allosyndetic interactions chimerise the hybrid genome. Chromosomes are preferentially lost from the S. kudriavzevii subgenome. The uniparental transmission of the mitochondrial DNA to the hybrids indicates that nucleo-mitochondrial interactions might affect the direction of the genomic changes. We propose the name GARMe (Genome AutoReduction in Meiosis) for this process of genome reduction and chimerisation which involves no introgressive backcrossings. It opens a way to transfer genetic information between species and thus to get one step ahead after hybridisation in the production of yeast strains with beneficial combinations of properties of different species.
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Affiliation(s)
- Edina Karanyicz
- Department of Genetics and Applied Microbiology, University of Debrecen, Debrecen, Hungary
| | - Zsuzsa Antunovics
- Department of Genetics and Applied Microbiology, University of Debrecen, Debrecen, Hungary
| | - Z Kallai
- Research Institute for Viticulture and Oenology, Tokaj, Hungary
| | - M Sipiczki
- Department of Genetics and Applied Microbiology, University of Debrecen, Debrecen, Hungary.
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31
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32
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Shen XX, Zhou X, Kominek J, Kurtzman CP, Hittinger CT, Rokas A. Reconstructing the Backbone of the Saccharomycotina Yeast Phylogeny Using Genome-Scale Data. G3 (BETHESDA, MD.) 2016; 6:3927-3939. [PMID: 27672114 PMCID: PMC5144963 DOI: 10.1534/g3.116.034744] [Citation(s) in RCA: 134] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 09/21/2016] [Indexed: 01/20/2023]
Abstract
Understanding the phylogenetic relationships among the yeasts of the subphylum Saccharomycotina is a prerequisite for understanding the evolution of their metabolisms and ecological lifestyles. In the last two decades, the use of rDNA and multilocus data sets has greatly advanced our understanding of the yeast phylogeny, but many deep relationships remain unsupported. In contrast, phylogenomic analyses have involved relatively few taxa and lineages that were often selected with limited considerations for covering the breadth of yeast biodiversity. Here we used genome sequence data from 86 publicly available yeast genomes representing nine of the 11 known major lineages and 10 nonyeast fungal outgroups to generate a 1233-gene, 96-taxon data matrix. Species phylogenies reconstructed using two different methods (concatenation and coalescence) and two data matrices (amino acids or the first two codon positions) yielded identical and highly supported relationships between the nine major lineages. Aside from the lineage comprised by the family Pichiaceae, all other lineages were monophyletic. Most interrelationships among yeast species were robust across the two methods and data matrices. However, eight of the 93 internodes conflicted between analyses or data sets, including the placements of: the clade defined by species that have reassigned the CUG codon to encode serine, instead of leucine; the clade defined by a whole genome duplication; and the species Ascoidea rubescens These phylogenomic analyses provide a robust roadmap for future comparative work across the yeast subphylum in the disciplines of taxonomy, molecular genetics, evolutionary biology, ecology, and biotechnology. To further this end, we have also provided a BLAST server to query the 86 Saccharomycotina genomes, which can be found at http://y1000plus.org/blast.
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Affiliation(s)
- Xing-Xing Shen
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee 37235
| | - Xiaofan Zhou
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee 37235
| | - Jacek Kominek
- Laboratory of Genetics, Genome Center of Wisconsin, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Cletus P Kurtzman
- Mycotoxin Prevention and Applied Microbiology Research Unit, National Center for Agricultural Utilization Research, Agricultural Research Service, U.S. Department of Agriculture, Peoria, Illinois 61604
| | - Chris Todd Hittinger
- Laboratory of Genetics, Genome Center of Wisconsin, DOE Great Lakes Bioenergy Research Center, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Wisconsin 53706
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee 37235
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33
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Karademir Andersson A, Cohn M. Naumovozyma castellii: an alternative model for budding yeast molecular biology. Yeast 2016; 34:95-109. [PMID: 27794167 DOI: 10.1002/yea.3218] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Accepted: 10/18/2016] [Indexed: 11/11/2022] Open
Abstract
Naumovozyma castellii (Saccharomyces castellii) is a member of the budding yeast family Saccharomycetaceae. It has been extensively used as a model organism for telomere biology research and has gained increasing interest as a budding yeast model for functional analyses owing to its amenability to genetic modifications. Owing to the suitable phylogenetic distance to S. cerevisiae, the whole genome sequence of N. castellii has provided unique data for comparative genomic studies, and it played a key role in the establishment of the timing of the whole genome duplication and the evolutionary events that took place in the subsequent genomic evolution of the Saccharomyces lineage. Here we summarize the historical background of its establishment as a laboratory yeast species, and the development of genetic and molecular tools and strains. We review the research performed on N. castellii, focusing on areas where it has significantly contributed to the discovery of new features of molecular biology and to the advancement of our understanding of molecular evolution. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
| | - Marita Cohn
- Department of Biology, Genetics group, Lund University, Lund, Sweden
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34
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Kuang MC, Hutchins PD, Russell JD, Coon JJ, Hittinger CT. Ongoing resolution of duplicate gene functions shapes the diversification of a metabolic network. eLife 2016; 5:e19027. [PMID: 27690225 PMCID: PMC5089864 DOI: 10.7554/elife.19027] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 09/28/2016] [Indexed: 12/23/2022] Open
Abstract
The evolutionary mechanisms leading to duplicate gene retention are well understood, but the long-term impacts of paralog differentiation on the regulation of metabolism remain underappreciated. Here we experimentally dissect the functions of two pairs of ancient paralogs of the GALactose sugar utilization network in two yeast species. We show that the Saccharomyces uvarum network is more active, even as over-induction is prevented by a second co-repressor that the model yeast Saccharomyces cerevisiae lacks. Surprisingly, removal of this repression system leads to a strong growth arrest, likely due to overly rapid galactose catabolism and metabolic overload. Alternative sugars, such as fructose, circumvent metabolic control systems and exacerbate this phenotype. We further show that S. cerevisiae experiences homologous metabolic constraints that are subtler due to how the paralogs have diversified. These results show how the functional differentiation of paralogs continues to shape regulatory network architectures and metabolic strategies long after initial preservation.
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Affiliation(s)
- Meihua Christina Kuang
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States
- Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, United States
- Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, United States
- JF Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Madison, United States
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States
| | - Paul D Hutchins
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States
- Department of Chemistry, University of Wisconsin-Madison, Madison, United States
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States
| | - Jason D Russell
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States
- Metabolism Research Group, Morgridge Institute for Research, Madison, United States
| | - Joshua J Coon
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States
- Department of Chemistry, University of Wisconsin-Madison, Madison, United States
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States
- Metabolism Research Group, Morgridge Institute for Research, Madison, United States
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, United States
| | - Chris Todd Hittinger
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States
- Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, United States
- Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, United States
- JF Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, Madison, United States
- Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States
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35
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Dalal CK, Zuleta IA, Mitchell KF, Andes DR, El-Samad H, Johnson AD. Transcriptional rewiring over evolutionary timescales changes quantitative and qualitative properties of gene expression. eLife 2016; 5. [PMID: 27614020 PMCID: PMC5067116 DOI: 10.7554/elife.18981] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Accepted: 09/05/2016] [Indexed: 12/25/2022] Open
Abstract
Evolutionary changes in transcription networks are an important source of diversity across species, yet the quantitative consequences of network evolution have rarely been studied. Here we consider the transcriptional 'rewiring' of the three GAL genes that encode the enzymes needed for cells to convert galactose to glucose. In Saccharomyces cerevisiae, the transcriptional regulator Gal4 binds and activates these genes. In the human pathogen Candida albicans (which last shared a common ancestor with S. cerevisiae some 300 million years ago), we show that different regulators, Rtg1 and Rtg3, activate the three GAL genes. Using single-cell dynamics and RNA-sequencing, we demonstrate that although the overall logic of regulation is the same in both species-the GAL genes are induced by galactose-there are major differences in both the quantitative response of these genes to galactose and in the position of these genes in the overall transcription network structure of the two species.
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Affiliation(s)
- Chiraj K Dalal
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States
| | - Ignacio A Zuleta
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.,California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, United States
| | - Kaitlin F Mitchell
- Department of Medicine, University of Wisconsin, Madison, United States.,Department of Medical Microbiology and Immunology, University of Wisconsin, Madison, United States
| | - David R Andes
- Department of Medicine, University of Wisconsin, Madison, United States.,Department of Medical Microbiology and Immunology, University of Wisconsin, Madison, United States
| | - Hana El-Samad
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.,California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, United States
| | - Alexander D Johnson
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, United States.,Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States
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36
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Dulermo R, Legras JL, Brunel F, Devillers H, Sarilar V, Neuvéglise C, Nguyen HV. Truncation of Gal4p explains the inactivation of the GAL/MEL regulon in both Saccharomyces bayanus and some Saccharomyces cerevisiae wine strains. FEMS Yeast Res 2016; 16:fow070. [PMID: 27589939 DOI: 10.1093/femsyr/fow070] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2016] [Indexed: 12/29/2022] Open
Abstract
In the past, the galactose-negative (Gal(-)) phenotype was a key physiological character used to distinguish Saccharomyces bayanus from S. cerevisiae In this work, we investigated the inactivation of GAL gene networks in S. bayanus, which is an S. uvarum/S. eubayanus hybrid, and in S. cerevisiae wine strains erroneously labelled 'S. bayanus'. We made an inventory of their GAL genes using genomes that were either available publicly, re-sequenced by us, or assembled from public data and completed with targeted sequencing. In the S. eubayanus/S. uvarum CBS 380(T) hybrid, the GAL/MEL network is composed of genes from both parents: from S. uvarum, an otherwise complete set that lacks GAL4, and from S. eubayanus, a truncated version of GAL4 and an additional copy of GAL3 and GAL80 Similarly, two different truncated GAL4 alleles were found in S. cerevisiae wine strains EC1118 and LalvinQA23. The lack of GAL4 activity in these strains was corrected by introducing a full-length copy of S. cerevisiae GAL4 on a CEN4/ARS plasmid. Transformation with this plasmid restored galactose utilisation in Gal(-) strains, and melibiose fermentation in strain CBS 380(T) The melibiose fermentation phenotype, formerly regarded as characteristic of S. uvarum, turned out to be widespread among Saccharomyces species.
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Affiliation(s)
- Rémi Dulermo
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Jean-Luc Legras
- SPO, INRA, SupAgro, Université de Montpellier, 34060, Montpellier, France
| | - François Brunel
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Hugo Devillers
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Véronique Sarilar
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Cécile Neuvéglise
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
| | - Huu-Vang Nguyen
- Micalis Institute, INRA, AgroParisTech, Université Paris-Saclay, 78350 Jouy-en-Josas, France
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37
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Das Adhikari AK, Bhat PJ. The binary response of the GAL/MEL genetic switch of Saccharomyces cerevisiae is critically dependent on Gal80p-Gal4p interaction. FEMS Yeast Res 2016; 16:fow069. [PMID: 27573383 DOI: 10.1093/femsyr/fow069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/21/2016] [Indexed: 11/13/2022] Open
Abstract
Studies on the Saccharomyces cerevisiae GAL/MEL genetic switch have revealed that its bistability is dependent on ultrasensitivity that can be altered or abolished by disabling different combinations of nested feedback loops. In contrast, we have previously demonstrated that weakening of the interaction between Gal80p and Gal4p alone is sufficient to abolish the ultrasensitivity (Das Adhikari et al. 2014). Here, we demonstrate that altering the epistatic interaction between Gal80p and Gal4p also abolishes the bistability, and the switch response to galactose becomes graded instead of binary. However, the GAL/MEL switch of wild-type and epistatically altered strains responded in a graded fashion to melibiose. The properties of the epistatically altered strain resemble Kluyveromyces lactis, which separated from the Saccharomyces lineage 100 mya before whole-genome duplication (WGD). Based on the results reported here, we propose that epistatic interactions played a crucial role in the evolution of the fine regulation of S. cerevisiae GAL/MEL switch following WGD.
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Affiliation(s)
- Akshay Kumar Das Adhikari
- Laboratory of Molecular Genetics, Department of Bioscience and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
| | - Paike Jayadeva Bhat
- Laboratory of Molecular Genetics, Department of Bioscience and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India
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38
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Abstract
Ascomycete yeasts are metabolically diverse, with great potential for biotechnology. Here, we report the comparative genome analysis of 29 taxonomically and biotechnologically important yeasts, including 16 newly sequenced. We identify a genetic code change, CUG-Ala, in Pachysolen tannophilus in the clade sister to the known CUG-Ser clade. Our well-resolved yeast phylogeny shows that some traits, such as methylotrophy, are restricted to single clades, whereas others, such as l-rhamnose utilization, have patchy phylogenetic distributions. Gene clusters, with variable organization and distribution, encode many pathways of interest. Genomics can predict some biochemical traits precisely, but the genomic basis of others, such as xylose utilization, remains unresolved. Our data also provide insight into early evolution of ascomycetes. We document the loss of H3K9me2/3 heterochromatin, the origin of ascomycete mating-type switching, and panascomycete synteny at the MAT locus. These data and analyses will facilitate the engineering of efficient biosynthetic and degradative pathways and gateways for genomic manipulation.
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39
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Martin O, Krzywicki A, Zagorski M. Drivers of structural features in gene regulatory networks: From biophysical constraints to biological function. Phys Life Rev 2016; 17:124-58. [DOI: 10.1016/j.plrev.2016.06.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 03/25/2016] [Accepted: 04/20/2016] [Indexed: 12/23/2022]
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40
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Hou J, Fournier T, Schacherer J. Species-wide survey reveals the various flavors of intraspecific reproductive isolation in yeast. FEMS Yeast Res 2016; 16:fow048. [PMID: 27288348 DOI: 10.1093/femsyr/fow048] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/31/2016] [Indexed: 12/13/2022] Open
Abstract
Exploring the origin and extent of reproductive isolation within the same species is valuable to capture early events to the onset of speciation. In multiple genetic models, reproductive isolation was recently observed at the intraspecific scale, indicating that the raw potential for speciation segregates readily within populations, which could be a rule rather than an exception in a broad context. We briefly recapitulate the molecular evidence of intrinsic post-zygotic isolation in major model organisms including Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster and their close relatives. We then focus on recent advances in yeast and review the genetic basis of post-zygotic isolation within and between multiple members of the Saccharomyces genus, especially in Saccharomyces cerevisiae We discuss the role of various mechanisms involved in the onset of reproductive isolation including DNA sequence divergence, chromosomal rearrangement, cytonuclear as well as nuclear-nuclear genetic incompatibilities and provide a comparative view along a continuum of genetic differentiation, which encompasses intraspecific populations, recent delineating nascent species as well as closely related sister species in the same subphylum.
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Affiliation(s)
- Jing Hou
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS UMR 7156, Strasbourg, France
| | - Téo Fournier
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS UMR 7156, Strasbourg, France
| | - Joseph Schacherer
- Department of Genetics, Genomics and Microbiology, University of Strasbourg/CNRS UMR 7156, Strasbourg, France
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41
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Gopinath RK, Leu JY. Hsp90 mediates the crosstalk between galactose metabolism and cell morphology pathways in yeast. Curr Genet 2016; 63:23-27. [PMID: 27209632 DOI: 10.1007/s00294-016-0614-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 05/10/2016] [Accepted: 05/11/2016] [Indexed: 01/11/2023]
Abstract
Galactose metabolism in the yeast Saccharomyces cerevisiae is carried out by a specialized GAL pathway consisting of structural and regulatory proteins. It is known that cells with unbalanced Gal proteins accumulate toxic metabolic intermediates and exhibit severe growth defects. Recently, we found that the molecular chaperone Hsp90 controls the abundance of multiple Gal proteins, possibly to prevent these defects. Hsp90 regulates various cellular processes including cell morphology in response to environmental cues. Yeast cells are known to resort to filamentous growth upon exposure to galactose or other environmental stresses. Our previous and current findings support the "Hsp90 titration model" of Hsp90 buffering, which links the cell morphology and galactose pathways. Our results suggest that, when a large proportion of Hsp90 molecules are used to help Gal proteins, the Hsp90 client proteins in cell morphology pathways are left unattended, leading to filamentous growth. It remains unclear whether this phenomenon serves any biological function or simply reflects a cellular constraint. Nonetheless, it provides an alternative explanation why the GAL pathway is degenerated in some yeast species.
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Affiliation(s)
| | - Jun-Yi Leu
- Institute of Molecular Biology, Academia Sinica, Taipei, Taiwan.
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Alcid EA, Tsukiyama T. Expansion of antisense lncRNA transcriptomes in budding yeast species since the loss of RNAi. Nat Struct Mol Biol 2016; 23:450-5. [PMID: 27018804 PMCID: PMC4856548 DOI: 10.1038/nsmb.3192] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 02/16/2016] [Indexed: 01/25/2023]
Abstract
Antisense long noncoding RNAs (ASlncRNAs) have been implicated in regulating gene expression in response to physiological cues. However, little is known about the evolutionary dynamics of ASlncRNA and what underlies the evolution of their expression. Here, using budding yeast Saccharomyces spp. and Naumovozyma castellii as models, we show that ASlncRNA repertoires have expanded since the loss of RNA interference (RNAi), in terms of their expression levels, their lengths and their degree of overlap with coding genes. Furthermore, we show that RNAi is inhibitory to ASlncRNA transcriptomes and that increased expression of ASlncRNAs in the presence of RNAi is deleterious to N. castellii, which has retained RNAi. Together, our results suggest that the loss of RNAi had substantial effects on the genome-wide increase in expression of ASlncRNAs during the evolution of budding yeasts.
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Affiliation(s)
- Eric A Alcid
- Divison of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
- Molecular and Cellular Biology Program, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Toshio Tsukiyama
- Divison of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
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43
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Iosue CL, Attanasio N, Shaik NF, Neal EM, Leone SG, Cali BJ, Peel MT, Grannas AM, Wykoff DD. Partial Decay of Thiamine Signal Transduction Pathway Alters Growth Properties of Candida glabrata. PLoS One 2016; 11:e0152042. [PMID: 27015653 PMCID: PMC4807840 DOI: 10.1371/journal.pone.0152042] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 02/21/2016] [Indexed: 12/31/2022] Open
Abstract
The phosphorylated form of thiamine (Vitamin B1), thiamine pyrophosphate (TPP) is essential for the metabolism of amino acids and carbohydrates in all organisms. Plants and microorganisms, such as yeast, synthesize thiamine de novo whereas animals do not. The thiamine signal transduction (THI) pathway in Saccharomyces cerevisiae is well characterized. The ~10 genes required for thiamine biosynthesis and uptake are transcriptionally upregulated during thiamine starvation by THI2, THI3, and PDC2. Candida glabrata, a human commensal and opportunistic pathogen, is closely related to S. cerevisiae but is missing half of the biosynthetic pathway, which limits its ability to make thiamine. We investigated the changes to the THI pathway in C. glabrata, confirming orthologous functions. We found that C. glabrata is unable to synthesize the pyrimidine subunit of thiamine as well as the thiamine precursor vitamin B6. In addition, THI2 (the gene encoding a transcription factor) is not present in C. glabrata, indicating a difference in the transcriptional regulation of the pathway. Although the pathway is upregulated by thiamine starvation in both species, C. glabrata appears to upregulate genes involved in thiamine uptake to a greater extent than S. cerevisiae. However, the altered regulation of the THI pathway does not alter the concentration of thiamine and its vitamers in the two species as measured by HPLC. Finally, we demonstrate potential consequences to having a partial decay of the THI biosynthetic and regulatory pathway. When the two species are co-cultured, the presence of thiamine allows C. glabrata to rapidly outcompete S. cerevisiae, while absence of thiamine allows S. cerevisiae to outcompete C. glabrata. This simplification of the THI pathway in C. glabrata suggests its environment provides thiamine and/or its precursors to cells, whereas S. cerevisiae is not as reliant on environmental sources of thiamine.
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Affiliation(s)
- Christine L. Iosue
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Nicholas Attanasio
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Noor F. Shaik
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Erin M. Neal
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Sarah G. Leone
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Brian J. Cali
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Michael T. Peel
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
| | - Amanda M. Grannas
- Department of Chemistry, Villanova University, Villanova, Pennsylvania, United States of America
| | - Dennis D. Wykoff
- Department of Biology, Villanova University, Villanova, Pennsylvania, United States of America
- * E-mail:
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Cibrián-Jaramillo A, Barona-Gómez F. Increasing Metagenomic Resolution of Microbiome Interactions Through Functional Phylogenomics and Bacterial Sub-Communities. Front Genet 2016; 7:4. [PMID: 26904093 PMCID: PMC4748306 DOI: 10.3389/fgene.2016.00004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 01/17/2016] [Indexed: 11/13/2022] Open
Abstract
The genomic composition of the microbiome and its relationship with the environment is an exciting open question in biology. Metagenomics is a useful tool in the discovery of previously unknown taxa, but its use to understand the functional and ecological capacities of the microbiome is limited until taxonomy and function are understood in the context of the community. We suggest that this can be achieved using a combined functional phylogenomics and co-culture-based experimental strategy that can increase our capacity to measure sub-community interactions. Functional phylogenomics can identify and partition the genome such that hidden gene functions and gene clusters with unique evolutionary signals are revealed. We can test these phylogenomic predictions using an experimental model based on sub-community populations that represent a subset of the diversity directly obtained from environmental samples. These populations increase the detection of mechanisms that drive functional forces in the assembly of the microbiome, in particular the role of metabolites from key taxa in community interactions. Our combined approach leverages the potential of metagenomics to address biological questions from ecological systems.
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Affiliation(s)
- Angélica Cibrián-Jaramillo
- Laboratorio Nacional de Genómica para la Biodiversidad (Langebio), Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav) Irapuato, Mexico
| | - Francisco Barona-Gómez
- Laboratorio Nacional de Genómica para la Biodiversidad (Langebio), Unidad de Genómica Avanzada, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav) Irapuato, Mexico
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45
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Genomics and the making of yeast biodiversity. Curr Opin Genet Dev 2015; 35:100-9. [PMID: 26649756 DOI: 10.1016/j.gde.2015.10.008] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Revised: 10/28/2015] [Accepted: 10/29/2015] [Indexed: 12/22/2022]
Abstract
Yeasts are unicellular fungi that do not form fruiting bodies. Although the yeast lifestyle has evolved multiple times, most known species belong to the subphylum Saccharomycotina (syn. Hemiascomycota, hereafter yeasts). This diverse group includes the premier eukaryotic model system, Saccharomyces cerevisiae; the common human commensal and opportunistic pathogen, Candida albicans; and over 1000 other known species (with more continuing to be discovered). Yeasts are found in every biome and continent and are more genetically diverse than angiosperms or chordates. Ease of culture, simple life cycles, and small genomes (∼10-20Mbp) have made yeasts exceptional models for molecular genetics, biotechnology, and evolutionary genomics. Here we discuss recent developments in understanding the genomic underpinnings of the making of yeast biodiversity, comparing and contrasting natural and human-associated evolutionary processes. Only a tiny fraction of yeast biodiversity and metabolic capabilities has been tapped by industry and science. Expanding the taxonomic breadth of deep genomic investigations will further illuminate how genome function evolves to encode their diverse metabolisms and ecologies.
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46
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The knockdown of each component of the cysteine proteinase-adhesin complex of Entamoeba histolytica (EhCPADH) affects the expression of the other complex element as well as the in vitro and in vivo virulence. Parasitology 2015; 143:50-9. [PMID: 26521708 DOI: 10.1017/s003118201500147x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Entamoeba histolytica is the protozoan parasite causative of human amoebiasis, disease responsible for 40 000-100 000 deaths annually. The cysteine proteinase-adhesin complex of this parasite (EhCPADH) is a heterodimeric protein formed by a cysteine protease (EhCP112) and an adhesin (EhADH) that plays an important role in the cytopathic mechanism of this parasite. The coding genes for EhCP112 and EhADH are adjacent in the E. histolytica genome, suggesting that their expression may be co-regulated, but this hypothesis has not yet been confirmed. Here, we performed the knockdown of EhCP112 and EhADH using gene-specific short-hairpin RNAs (shRNA), and the effect of these knockdowns on the expression of both complex components as well as on the in vitro and in vivo virulence was analysed. Results showed that the knockdown of one of the EhCPADH components produced a simultaneous downregulation of the other protein. Accordingly, a concomitant reduction in the overall expression of the complex was observed. The downregulation of each component also produced a significant decrease in the in vitro and in vivo virulence of trophozoites. These results demonstrated that the expression of EhCP112 and EhADH is co-regulated and confirmed that the EhCPADH complex plays an important role in E. histolytica virulence.
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Abstract
The Saccharomyces sensu stricto group encompasses species ranging from the industrially ubiquitous yeast Saccharomyces cerevisiae to those that are confined to geographically limited environmental niches. The wealth of genomic data that are now available for the Saccharomyces genus is providing unprecedented insights into the genomic processes that can drive speciation and evolution, both in the natural environment and in response to human-driven selective forces during the historical "domestication" of these yeasts for baking, brewing, and winemaking.
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Baker E, Wang B, Bellora N, Peris D, Hulfachor AB, Koshalek JA, Adams M, Libkind D, Hittinger CT. The Genome Sequence of Saccharomyces eubayanus and the Domestication of Lager-Brewing Yeasts. Mol Biol Evol 2015; 32:2818-31. [PMID: 26269586 PMCID: PMC4651232 DOI: 10.1093/molbev/msv168] [Citation(s) in RCA: 125] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The dramatic phenotypic changes that occur in organisms during domestication leave indelible imprints on their genomes. Although many domesticated plants and animals have been systematically compared with their wild genetic stocks, the molecular and genomic processes underlying fungal domestication have received less attention. Here, we present a nearly complete genome assembly for the recently described yeast species Saccharomyces eubayanus and compare it to the genomes of multiple domesticated alloploid hybrids of S. eubayanus × S. cerevisiae (S. pastorianus syn. S. carlsbergensis), which are used to brew lager-style beers. We find that the S. eubayanus subgenomes of lager-brewing yeasts have experienced increased rates of evolution since hybridization, and that certain genes involved in metabolism may have been particularly affected. Interestingly, the S. eubayanus subgenome underwent an especially strong shift in selection regimes, consistent with more extensive domestication of the S. cerevisiae parent prior to hybridization. In contrast to recent proposals that lager-brewing yeasts were domesticated following a single hybridization event, the radically different neutral site divergences between the subgenomes of the two major lager yeast lineages strongly favor at least two independent origins for the S. cerevisiae × S. eubayanus hybrids that brew lager beers. Our findings demonstrate how this industrially important hybrid has been domesticated along similar evolutionary trajectories on multiple occasions.
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Affiliation(s)
- EmilyClare Baker
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison
| | - Bing Wang
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison
| | - Nicolas Bellora
- Laboratorio de Microbiología Aplicada y Biotecnología, Instituto de Investigaciones en Biodiversidad y Medioambiente (INIBIOMA), Universidad Nacional del Comahue-CONICET, Bariloche, Argentina
| | - David Peris
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
| | - Amanda Beth Hulfachor
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison
| | | | - Marie Adams
- Biotechnology Center, University of Wisconsin-Madison
| | - Diego Libkind
- Laboratorio de Microbiología Aplicada y Biotecnología, Instituto de Investigaciones en Biodiversidad y Medioambiente (INIBIOMA), Universidad Nacional del Comahue-CONICET, Bariloche, Argentina
| | - Chris Todd Hittinger
- Laboratory of Genetics, Genome Center of Wisconsin, Wisconsin Energy Institute, J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison
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49
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Zilli DMW, Lopes RG, Alves SL, Barros LM, Miletti LC, Stambuk BU. Secretion of the acid trehalase encoded by the CgATH1 gene allows trehalose fermentation by Candida glabrata. Microbiol Res 2015; 179:12-9. [PMID: 26411890 DOI: 10.1016/j.micres.2015.06.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Revised: 06/26/2015] [Accepted: 06/27/2015] [Indexed: 01/10/2023]
Abstract
The emergent pathogen Candida glabrata differs from other yeasts because it assimilates only two sugars, glucose and the disaccharide trehalose. Since rapid identification tests are based on the ability of this yeast to rapidly hydrolyze trehalose, in this work a biochemical and molecular characterization of trehalose catabolism by this yeast was performed. Our results show that C. glabrata consumes and ferments trehalose, with parameters similar to those observed during glucose fermentation. The presence of glucose in the medium during exponential growth on trehalose revealed extracellular hydrolysis of the sugar by a cell surface acid trehalase with a pH optimum of 4.4. Approximately ∼30% of the total enzymatic activity is secreted into the medium during growth on trehalose or glycerol. The secreted enzyme shows an apparent molecular mass of 275 kDa in its native form, but denaturant gel electrophoresis revealed a protein with ∼130 kDa, which due to its migration pattern and strong binding to concanavalin A, indicates that it is probably a dimeric glycoprotein. The secreted acid trehalase shows high affinity and activity for trehalose, with Km and Vmax values of 3.4 mM and 80 U (mg protein)(-1), respectively. Cloning of the CgATH1 gene (CAGLOK05137g) from de C. glabrata genome, a gene showing high homology to fungal acid trehalases, allowed trehalose fermentation after heterologous expression in Saccharomyces cerevisiae.
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Affiliation(s)
- D M W Zilli
- Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Trindade, Florianópolis, SC 88040-900, Brazil
| | - R G Lopes
- Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Trindade, Florianópolis, SC 88040-900, Brazil
| | - S L Alves
- Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Trindade, Florianópolis, SC 88040-900, Brazil
| | - L M Barros
- Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Trindade, Florianópolis, SC 88040-900, Brazil
| | - L C Miletti
- Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Trindade, Florianópolis, SC 88040-900, Brazil
| | - B U Stambuk
- Departamento de Bioquímica, Centro de Ciências Biológicas, Universidade Federal de Santa Catarina, Campus Trindade, Florianópolis, SC 88040-900, Brazil.
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50
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Wolfe KH, Armisén D, Proux-Wera E, ÓhÉigeartaigh SS, Azam H, Gordon JL, Byrne KP. Clade- and species-specific features of genome evolution in the Saccharomycetaceae. FEMS Yeast Res 2015; 15:fov035. [PMID: 26066552 PMCID: PMC4629796 DOI: 10.1093/femsyr/fov035] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/29/2015] [Indexed: 12/12/2022] Open
Abstract
Many aspects of the genomes of yeast species in the family Saccharomycetaceae have been well conserved during evolution. They have similar genome sizes, genome contents, and extensive collinearity of gene order along chromosomes. Gene functions can often be inferred reliably by using information from Saccharomyces cerevisiae. Beyond this conservative picture however, there are many instances where a species or a clade diverges substantially from the S. cerevisiae paradigm—for example, by the amplification of a gene family, or by the absence of a biochemical pathway or a protein complex. Here, we review clade-specific features, focusing on genomes sequenced in our laboratory from the post-WGD genera Naumovozyma, Kazachstania and Tetrapisispora, and from the non-WGD species Torulaspora delbrueckii. Examples include the loss of the pathway for histidine synthesis in the cockroach-associated species Tetrapisispora blattae; the presence of a large telomeric GAL gene cluster in To. delbrueckii; losses of the dynein and dynactin complexes in several independent yeast lineages; fragmentation of the MAT locus and loss of the HO gene in Kazachstania africana; and the patchy phylogenetic distribution of RNAi pathway components. The authors review species-specific evolutionary attributes of yeast genomes.
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Affiliation(s)
- Kenneth H Wolfe
- UCD Conway Institute, School of Medicine and Medical Science, University College Dublin, Dublin 4, Ireland
| | - David Armisén
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland Institut de Génomique Fonctionnelle de Lyon, ENS de Lyon - CNRS UMR 5242 - INRA USC 1370, 46 allée d'Italie, 69364 Lyon cedex 07, France
| | - Estelle Proux-Wera
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland Science for Life Laboratory, Dept. of Biochemistry and Biophysics, Stockholm University, Box 1031, SE-17121 Solna, Sweden
| | - Seán S ÓhÉigeartaigh
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland Centre for the Study of Existential Risk, University of Cambridge, CRASSH, Alison Richard Building, 7 West Road, Cambridge, CB3 9DT, UK
| | - Haleema Azam
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland
| | - Jonathan L Gordon
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland CIRAD, UMR CMAEE, Site de Duclos, Prise d'eau, F-97170, Petit-Bourg, Guadeloupe, France
| | - Kevin P Byrne
- UCD Conway Institute, School of Medicine and Medical Science, University College Dublin, Dublin 4, Ireland
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