1
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Caudal É, Loegler V, Dutreux F, Vakirlis N, Teyssonnière É, Caradec C, Friedrich A, Hou J, Schacherer J. Pan-transcriptome reveals a large accessory genome contribution to gene expression variation in yeast. Nat Genet 2024; 56:1278-1287. [PMID: 38778243 PMCID: PMC11176082 DOI: 10.1038/s41588-024-01769-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 04/24/2024] [Indexed: 05/25/2024]
Abstract
Gene expression is an essential step in the translation of genotypes into phenotypes. However, little is known about the transcriptome architecture and the underlying genetic effects at the species level. Here we generated and analyzed the pan-transcriptome of ~1,000 yeast natural isolates across 4,977 core and 1,468 accessory genes. We found that the accessory genome is an underappreciated driver of transcriptome divergence. Global gene expression patterns combined with population structure showed that variation in heritable expression mainly lies within subpopulation-specific signatures, for which accessory genes are overrepresented. Genome-wide association analyses consistently highlighted that accessory genes are associated with proportionally more variants with larger effect sizes, illustrating the critical role of the accessory genome on the transcriptional landscape within and between populations.
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Affiliation(s)
- Élodie Caudal
- Université de Strasbourg, CNRS GMGM UMR 7156, Strasbourg, France
| | - Victor Loegler
- Université de Strasbourg, CNRS GMGM UMR 7156, Strasbourg, France
| | - Fabien Dutreux
- Université de Strasbourg, CNRS GMGM UMR 7156, Strasbourg, France
| | | | | | - Claudia Caradec
- Université de Strasbourg, CNRS GMGM UMR 7156, Strasbourg, France
| | - Anne Friedrich
- Université de Strasbourg, CNRS GMGM UMR 7156, Strasbourg, France
| | - Jing Hou
- Université de Strasbourg, CNRS GMGM UMR 7156, Strasbourg, France.
| | - Joseph Schacherer
- Université de Strasbourg, CNRS GMGM UMR 7156, Strasbourg, France.
- Institut Universitaire de France (IUF), Paris, France.
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2
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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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3
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Siddiq MA, Duveau F, Wittkopp PJ. Plasticity and environment-specific relationships between gene expression and fitness in Saccharomyces cerevisiae. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.12.589130. [PMID: 38659876 PMCID: PMC11042213 DOI: 10.1101/2024.04.12.589130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
Phenotypic evolution is shaped by interactions between organisms and their environments. The environment influences how an organism's genotype determines its phenotype and how this phenotype affects its fitness. To better understand this dual role of the environment in the production and selection of phenotypic variation, we empirically determined and compared the genotype-phenotype-fitness relationship for mutant strains of the budding yeast Saccharomyces cerevisiae in four environments. Specifically, we measured how mutations in the promoter of the metabolic gene TDH3 modified its expression level and affected its growth on media with four different carbon sources. In each environment, we observed a clear relationship between TDH3 expression level and fitness, but this relationship differed among environments. Genetic variants with similar effects on TDH3 expression in different environments often had different effects on fitness and vice versa. Such environment-specific relationships between phenotype and fitness can shape the evolution of phenotypic plasticity. The set of mutants we examined also allowed us to compare the effects of mutations disrupting binding sites for key transcriptional regulators and the TATA box, which is part of the core promoter sequence. Mutations disrupting the binding sites for the transcription factors had more variable effects on expression among environments than mutations disrupting the TATA box, yet mutations with the most environmentally variable effects on fitness were located in the TATA box. This observation suggests that mutations affecting different molecular mechanisms are likely to contribute unequally to regulatory sequence evolution in changing environments.
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Affiliation(s)
- Mohammad A. Siddiq
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan
- Authors contributed equally to this work
| | - Fabien Duveau
- Department of Ecology and Evolutionary Biology, University of Michigan
- Laboratory of Biology and Modeling of the Cell, Ecole Normale Supérieure de Lyon, CNRS, Université Claude Bernard Lyon, Université de Lyon, France
- Authors contributed equally to this work
| | - Patricia J. Wittkopp
- Department of Molecular, Cellular, and Developmental Biology, University of Michigan
- Department of Ecology and Evolutionary Biology, University of Michigan
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4
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Pontes A, Paraíso F, Liu YC, Limtong S, Jindamorakot S, Jespersen L, Gonçalves C, Rosa CA, Tsai IJ, Rokas A, Hittinger CT, Gonçalves P, Sampaio JP. Tracking alternative versions of the galactose gene network in the genus Saccharomyces and their expansion after domestication. iScience 2024; 27:108987. [PMID: 38333711 PMCID: PMC10850751 DOI: 10.1016/j.isci.2024.108987] [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: 09/05/2023] [Revised: 11/27/2023] [Accepted: 01/17/2024] [Indexed: 02/10/2024] Open
Abstract
When Saccharomyces cerevisiae grows on mixtures of glucose and galactose, galactose utilization is repressed by glucose, and induction of the GAL gene network only occurs when glucose is exhausted. Contrary to reference GAL alleles, alternative alleles support faster growth on galactose, thus enabling distinct galactose utilization strategies maintained by balancing selection. Here, we report on new wild populations of Saccharomyces cerevisiae harboring alternative GAL versions and, for the first time, of Saccharomyces paradoxus alternative alleles. We also show that the non-functional GAL version found earlier in Saccharomyces kudriavzevii is phylogenetically related to the alternative versions, which constitutes a case of trans-specific maintenance of highly divergent alleles. Strains harboring the different GAL network variants show different levels of alleviation of glucose repression and growth proficiency on galactose. We propose that domestication involved specialization toward thriving in milk from a generalist ancestor partially adapted to galactose consumption in the plant niche.
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Affiliation(s)
- Ana Pontes
- UCIBIO, Department of Life Sciences, Nova School of Science and Technology, Caparica 2829-516, Portugal
- Associate Laboratory i4HB, Nova School of Science and Technology, Caparica 2829-516, Portugal
| | - Francisca Paraíso
- UCIBIO, Department of Life Sciences, Nova School of Science and Technology, Caparica 2829-516, Portugal
- Associate Laboratory i4HB, Nova School of Science and Technology, Caparica 2829-516, Portugal
| | - Yu-Ching Liu
- Biodiversity Research Center, Academia Sinica, Taipei 11529, Taiwan
| | - Savitree Limtong
- Department of Microbiology Faculty of Science, Kasetsart University, Bangkok 10900, Thailand
- Biodiversity Center Kasetsart University, Bangkok 10900, Thailand
| | - Sasitorn Jindamorakot
- Microbial Diversity and Utilization Research Team, Thailand Bioresource Research Center, National Centre for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology, Development Agency (NSTDA), Pathum Thani 12120, Thailand
| | - Lene Jespersen
- Department of Food Science, University of Copenhagen, 1958 Frederiksberg C, Denmark
| | - Carla Gonçalves
- UCIBIO, Department of Life Sciences, Nova School of Science and Technology, Caparica 2829-516, Portugal
- Associate Laboratory i4HB, Nova School of Science and Technology, Caparica 2829-516, Portugal
| | - Carlos A. Rosa
- Departamento de Microbiologia, ICB, C.P. 486, Universidade Federal de Minas Gerais, Belo Horizonte, MG 31270-901, Brazil
| | | | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA
- Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN 37235, USA
| | - 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, WI 53726, USA
| | - Paula Gonçalves
- UCIBIO, Department of Life Sciences, Nova School of Science and Technology, Caparica 2829-516, Portugal
- Associate Laboratory i4HB, Nova School of Science and Technology, Caparica 2829-516, Portugal
| | - José Paulo Sampaio
- UCIBIO, Department of Life Sciences, Nova School of Science and Technology, Caparica 2829-516, Portugal
- Associate Laboratory i4HB, Nova School of Science and Technology, Caparica 2829-516, Portugal
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5
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Moran BM, Payne CY, Powell DL, Iverson ENK, Donny AE, Banerjee SM, Langdon QK, Gunn TR, Rodriguez-Soto RA, Madero A, Baczenas JJ, Kleczko KM, Liu F, Matney R, Singhal K, Leib RD, Hernandez-Perez O, Corbett-Detig R, Frydman J, Gifford C, Schartl M, Havird JC, Schumer M. A lethal mitonuclear incompatibility in complex I of natural hybrids. Nature 2024; 626:119-127. [PMID: 38200310 PMCID: PMC10830419 DOI: 10.1038/s41586-023-06895-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 11/23/2023] [Indexed: 01/12/2024]
Abstract
The evolution of reproductive barriers is the first step in the formation of new species and can help us understand the diversification of life on Earth. These reproductive barriers often take the form of hybrid incompatibilities, in which alleles derived from two different species no longer interact properly in hybrids1-3. Theory predicts that hybrid incompatibilities may be more likely to arise at rapidly evolving genes4-6 and that incompatibilities involving multiple genes should be common7,8, but there has been sparse empirical data to evaluate these predictions. Here we describe a mitonuclear incompatibility involving three genes whose protein products are in physical contact within respiratory complex I of naturally hybridizing swordtail fish species. Individuals homozygous for mismatched protein combinations do not complete embryonic development or die as juveniles, whereas those heterozygous for the incompatibility have reduced complex I function and unbalanced representation of parental alleles in the mitochondrial proteome. We find that the effects of different genetic interactions on survival are non-additive, highlighting subtle complexity in the genetic architecture of hybrid incompatibilities. Finally, we document the evolutionary history of the genes involved, showing signals of accelerated evolution and evidence that an incompatibility has been transferred between species via hybridization.
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Affiliation(s)
- Benjamin M Moran
- Department of Biology, Stanford University, Stanford, CA, USA.
- Centro de Investigaciones Científicas de las Huastecas 'Aguazarca', A.C., Calnali, Hidalgo, Mexico.
| | - Cheyenne Y Payne
- Department of Biology, Stanford University, Stanford, CA, USA
- Centro de Investigaciones Científicas de las Huastecas 'Aguazarca', A.C., Calnali, Hidalgo, Mexico
| | - Daniel L Powell
- Department of Biology, Stanford University, Stanford, CA, USA
- Centro de Investigaciones Científicas de las Huastecas 'Aguazarca', A.C., Calnali, Hidalgo, Mexico
| | - Erik N K Iverson
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | | | | | - Quinn K Langdon
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Theresa R Gunn
- Department of Biology, Stanford University, Stanford, CA, USA
| | | | - Angel Madero
- Department of Biology, Stanford University, Stanford, CA, USA
| | - John J Baczenas
- Department of Biology, Stanford University, Stanford, CA, USA
| | | | - Fang Liu
- Stanford University Mass Spectrometry Core, Stanford University, Stanford, CA, USA
| | - Rowan Matney
- Stanford University Mass Spectrometry Core, Stanford University, Stanford, CA, USA
| | - Kratika Singhal
- Stanford University Mass Spectrometry Core, Stanford University, Stanford, CA, USA
| | - Ryan D Leib
- Stanford University Mass Spectrometry Core, Stanford University, Stanford, CA, USA
| | - Osvaldo Hernandez-Perez
- Centro de Investigaciones Científicas de las Huastecas 'Aguazarca', A.C., Calnali, Hidalgo, Mexico
| | - Russell Corbett-Detig
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, USA
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Judith Frydman
- Department of Biology, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Casey Gifford
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA, USA
| | - Manfred Schartl
- The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, TX, USA
- Developmental Biochemistry, Biozentrum, University of Würzburg, Würzburg, Germany
| | - Justin C Havird
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | - Molly Schumer
- Department of Biology, Stanford University, Stanford, CA, USA.
- Centro de Investigaciones Científicas de las Huastecas 'Aguazarca', A.C., Calnali, Hidalgo, Mexico.
- Howard Hughes Medical Institute, Stanford, CA, USA.
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6
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Boocock J, Alexander N, Tapia LA, Walter-McNeill L, Munugala C, Bloom JS, Kruglyak L. Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.07.570640. [PMID: 38106186 PMCID: PMC10723400 DOI: 10.1101/2023.12.07.570640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Expression quantitative trait loci (eQTLs) provide a key bridge between noncoding DNA sequence variants and organismal traits. The effects of eQTLs can differ among tissues, cell types, and cellular states, but these differences are obscured by gene expression measurements in bulk populations. We developed a one-pot approach to map eQTLs in Saccharomyces cerevisiae by single-cell RNA sequencing (scRNA-seq) and applied it to over 100,000 single cells from three crosses. We used scRNA-seq data to genotype each cell, measure gene expression, and classify the cells by cell-cycle stage. We mapped thousands of local and distant eQTLs and identified interactions between eQTL effects and cell-cycle stages. We took advantage of single-cell expression information to identify hundreds of genes with allele-specific effects on expression noise. We used cell-cycle stage classification to map 20 loci that influence cell-cycle progression. One of these loci influenced the expression of genes involved in the mating response. We showed that the effects of this locus arise from a common variant (W82R) in the gene GPA1, which encodes a signaling protein that negatively regulates the mating pathway. The 82R allele increases mating efficiency at the cost of slower cell-cycle progression and is associated with a higher rate of outcrossing in nature. Our results provide a more granular picture of the effects of genetic variants on gene expression and downstream traits.
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Affiliation(s)
- James Boocock
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Noah Alexander
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Leslie Alamo Tapia
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Laura Walter-McNeill
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Chetan Munugala
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Joshua S Bloom
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Leonid Kruglyak
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
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7
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Mahilkar A, Nagendra P, Venkataraman P, Deshmukh S, Saini S. Rapid evolution of pre-zygotic reproductive barriers in allopatric populations. Microbiol Spectr 2023; 11:e0195023. [PMID: 37787555 PMCID: PMC10714765 DOI: 10.1128/spectrum.01950-23] [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: 05/09/2023] [Accepted: 08/14/2023] [Indexed: 10/04/2023] Open
Abstract
IMPORTANCE A population diversifies into two or more species-such a process is known as speciation. In sexually reproducing microorganisms, which barriers arise first-pre-mating or post-mating? In this work, we quantify the relative strengths of these barriers and demonstrate that pre-mating barriers arise first in allopatrically evolving populations of yeast, Saccharomyces cerevisiae. These defects arise because of the altered kinetics of mating of the participating groups. Thus, our work provides an understanding of how adaptive changes can lead to diversification among microbial populations.
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Affiliation(s)
- Anjali Mahilkar
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Powai, Maharashtra, India
| | - Prachitha Nagendra
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Powai, Maharashtra, India
| | - Pavithra Venkataraman
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Powai, Maharashtra, India
| | - Saniya Deshmukh
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Powai, Maharashtra, India
| | - Supreet Saini
- Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, Powai, Maharashtra, India
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8
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Zhu P, Yang K, Shen J, Lu Z, Lv F, Wang P. Comparative Transcriptome Analysis Revealing the Enhanced Volatiles of Cofermentation of Yeast and Lactic Acid Bacteria on Whole Wheat Steamed Bread Dough. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:19129-19141. [PMID: 37867327 DOI: 10.1021/acs.jafc.3c01650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2023]
Abstract
To reveal the underlying mechanism of enhanced volatiles of whole wheat steamed bread, the current study screened Saccharomyces cerevisiae Y5 and Lactiplantibacillus plantarum L7 from sourdough and studied the synergetic effect of cofermentation on the volatiles of steamed bread and fermented dough by comparative transcriptome analysis. Cofermentation significantly improved the types and concentration of volatiles in addition to the improved specific volume and texture. Genes involved in galactose, starch, and glucose metabolism and genes encoding pyruvate oxidase and β-galactosidase were significantly upregulated in S. cerevisiae and L. plantarum, respectively. Expression of the OPT2 encoding oligopeptide transporter in S. cerevisiae was upregulated, which facilitated the transmembrane transport of oligopeptide and amino acid into yeast cells. Genes involved in the synthesis and metabolism of amino acids, lipids, and ester compounds in L. plantarum changed significantly, and gene encoding acetic acid kinase was upregulated. Moreover, the quorum sensing-related genes in S. cerevisiae and L. plantarum were upregulated.
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Affiliation(s)
- Ping Zhu
- College of Food Science and Technology, Whole Grain Food Engineering Research Center, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Kesheng Yang
- College of Food Science and Technology, Whole Grain Food Engineering Research Center, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Juan Shen
- College of Food Science and Technology, Whole Grain Food Engineering Research Center, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Zhaoxin Lu
- College of Food Science and Technology, Whole Grain Food Engineering Research Center, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Fengxia Lv
- College of Food Science and Technology, Whole Grain Food Engineering Research Center, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
| | - Pei Wang
- College of Food Science and Technology, Whole Grain Food Engineering Research Center, Nanjing Agricultural University, Nanjing, Jiangsu 210095, People's Republic of China
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9
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Lee D, Fox B, Palomino D, Panda O, Tenjo F, Koury E, Evans K, Stevens L, Rodrigues P, Kolodziej A, Schroeder F, Andersen E. Natural genetic variation in the pheromone production of C. elegans. Proc Natl Acad Sci U S A 2023; 120:e2221150120. [PMID: 37339205 PMCID: PMC10293855 DOI: 10.1073/pnas.2221150120] [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: 12/15/2022] [Accepted: 05/10/2023] [Indexed: 06/22/2023] Open
Abstract
From bacterial quorum sensing to human language, communication is essential for social interactions. Nematodes produce and sense pheromones to communicate among individuals and respond to environmental changes. These signals are encoded by different types and mixtures of ascarosides, whose modular structures further enhance the diversity of this nematode pheromone language. Interspecific and intraspecific differences in this ascaroside pheromone language have been described previously, but the genetic basis and molecular mechanisms underlying the variation remain largely unknown. Here, we analyzed natural variation in the production of 44 ascarosides across 95 wild Caenorhabditis elegans strains using high-performance liquid chromatography coupled to high-resolution mass spectrometry. We discovered wild strains defective in the production of specific subsets of ascarosides (e.g., the aggregation pheromone icas#9) or short- and medium-chain ascarosides, as well as inversely correlated patterns between the production of two major classes of ascarosides. We investigated genetic variants that are significantly associated with the natural differences in the composition of the pheromone bouquet, including rare genetic variants in key enzymes participating in ascaroside biosynthesis, such as the peroxisomal 3-ketoacyl-CoA thiolase, daf-22, and the carboxylesterase cest-3. Genome-wide association mappings revealed genomic loci harboring common variants that affect ascaroside profiles. Our study yields a valuable dataset for investigating the genetic mechanisms underlying the evolution of chemical communication.
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Affiliation(s)
- Daehan Lee
- Department of Molecular Biosciences, Northwestern University, Evanston, IL60208
- Department of Biology, Kyung Hee University, Seoul02447, Republic of Korea
- Department of Biological Sciences, Sungkyunkwan University, Suwon16419, Republic of Korea
| | - Bennett W. Fox
- Boyce Thompson Institute, Cornell University, Ithaca, NY14850
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY14850
| | - Diana Fajardo Palomino
- Boyce Thompson Institute, Cornell University, Ithaca, NY14850
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY14850
| | - Oishika Panda
- Boyce Thompson Institute, Cornell University, Ithaca, NY14850
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY14850
| | - Francisco J. Tenjo
- Boyce Thompson Institute, Cornell University, Ithaca, NY14850
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY14850
| | - Emily J. Koury
- Department of Molecular Biosciences, Northwestern University, Evanston, IL60208
| | - Kathryn S. Evans
- Department of Molecular Biosciences, Northwestern University, Evanston, IL60208
| | - Lewis Stevens
- Department of Molecular Biosciences, Northwestern University, Evanston, IL60208
- Tree of Life, Wellcome Sanger Institute, CambridgeCB10 1SA, United Kingdom
| | - Pedro R. Rodrigues
- Boyce Thompson Institute, Cornell University, Ithaca, NY14850
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY14850
| | - Aiden R. Kolodziej
- Boyce Thompson Institute, Cornell University, Ithaca, NY14850
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY14850
| | - Frank C. Schroeder
- Boyce Thompson Institute, Cornell University, Ithaca, NY14850
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY14850
| | - Erik C. Andersen
- Department of Molecular Biosciences, Northwestern University, Evanston, IL60208
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10
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Weller CA, Andreev I, Chambers MJ, Park M, Bloom JS, Sadhu MJ. Highly complete long-read genomes reveal pangenomic variation underlying yeast phenotypic diversity. Genome Res 2023; 33:729-740. [PMID: 37127330 PMCID: PMC10317115 DOI: 10.1101/gr.277515.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 04/26/2023] [Indexed: 05/03/2023]
Abstract
Understanding the genetic causes of trait variation is a primary goal of genetic research. One way that individuals can vary genetically is through variable pangenomic genes: genes that are only present in some individuals in a population. The presence or absence of entire genes could have large effects on trait variation. However, variable pangenomic genes can be missed in standard genotyping workflows, owing to reliance on aligning short-read sequencing to reference genomes. A popular method for studying the genetic basis of trait variation is linkage mapping, which identifies quantitative trait loci (QTLs), regions of the genome that harbor causative genetic variants. Large-scale linkage mapping in the budding yeast Saccharomyces cerevisiae has found thousands of QTLs affecting myriad yeast phenotypes. To enable the resolution of QTLs caused by variable pangenomic genes, we used long-read sequencing to generate highly complete de novo genome assemblies of 16 diverse yeast isolates. With these assemblies, we resolved QTLs for growth on maltose, sucrose, raffinose, and oxidative stress to specific genes that are absent from the reference genome but present in the broader yeast population at appreciable frequency. Copies of genes also duplicate onto chromosomes where they are absent in the reference genome, and we found that these copies generate additional QTLs whose resolution requires pangenome characterization. Our findings show the need for highly complete genome assemblies to identify the genetic basis of trait variation.
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Affiliation(s)
- Cory A Weller
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Ilya Andreev
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Michael J Chambers
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Morgan Park
- NIH Intramural Sequencing Center, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Joshua S Bloom
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, California 90095, USA
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, California 90095, USA
- Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, California 90095, USA
- Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, California 90095, USA
- Department of Computational Medicine, University of California, Los Angeles, Los Angeles, California 90095, USA
| | - Meru J Sadhu
- Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA;
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11
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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: 11] [Impact Index Per Article: 11.0] [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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12
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Long-Term Adaptation to Galactose as a Sole Carbon Source Selects for Mutations Outside the Canonical GAL Pathway. J Mol Evol 2023; 91:46-59. [PMID: 36482210 PMCID: PMC9734637 DOI: 10.1007/s00239-022-10079-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 11/23/2022] [Indexed: 12/13/2022]
Abstract
Galactose is a secondary fermentable sugar that requires specific regulatory and structural genes for its assimilation, which are under catabolite repression by glucose. When glucose is absent, the catabolic repression is attenuated, and the structural GAL genes are fully activated. In Saccharomyces cerevisiae, the GAL pathway is under selection in environments where galactose is present. However, it is unclear the adaptive strategies in response to long-term propagation in galactose as a sole carbon source in laboratory evolution experiments. Here, we performed a 4,000-generation evolution experiment using 48 diploid Saccharomyces cerevisiae populations to study adaptation in galactose. We show that fitness gains were greater in the galactose-evolved population than in identically evolved populations with glucose as a sole carbon source. Whole-genome sequencing of 96 evolved clones revealed recurrent de novo single nucleotide mutations in candidate targets of selection, copy number variations, and ploidy changes. We find that most mutations that improve fitness in galactose lie outside of the canonical GAL pathway. Reconstruction of specific evolved alleles in candidate target of selection, SEC23 and IRA1, showed a significant increase in fitness in galactose compared to glucose. In addition, most of our evolved populations (28/46; 61%) fixed aneuploidies on Chromosome VIII, suggesting a parallel adaptive amplification. Finally, we show greater loss of extrachromosomal elements in our glucose-evolved lineages compared with previous glucose evolution. Broadly, these data further our understanding of the evolutionary pressures that drive adaptation to less-preferred carbon sources.
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13
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Mechanisms of regulatory evolution in yeast. Curr Opin Genet Dev 2022; 77:101998. [PMID: 36220001 PMCID: PMC10117219 DOI: 10.1016/j.gde.2022.101998] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 02/06/2023]
Abstract
Studies of regulatory variation in yeast - at the level of new mutations, polymorphisms within a species, and divergence between species - have provided great insight into the molecular and evolutionary processes responsible for the evolution of gene expression in eukaryotes. The increasing ease with which yeast genomes can be manipulated and expression quantified in a high-throughput manner has recently accelerated mechanistic studies of cis- and trans-regulatory variation at multiple evolutionary timescales. These studies have, for example, identified differences in the properties of cis- and trans-acting mutations that affect their evolutionary fate, experimentally characterized the molecular mechanisms through which cis- and trans-regulatory variants act, and illustrated how regulatory networks can diverge between species with or without changes in gene expression.
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14
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Salzberg LI, Martos AAR, Lombardi L, Jermiin LS, Blanco A, Byrne KP, Wolfe KH. A widespread inversion polymorphism conserved among Saccharomyces species is caused by recurrent homogenization of a sporulation gene family. PLoS Genet 2022; 18:e1010525. [PMID: 36441813 PMCID: PMC9731477 DOI: 10.1371/journal.pgen.1010525] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/08/2022] [Accepted: 11/12/2022] [Indexed: 11/29/2022] Open
Abstract
Saccharomyces genomes are highly collinear and show relatively little structural variation, both within and between species of this yeast genus. We investigated the only common inversion polymorphism known in S. cerevisiae, which affects a 24-kb 'flip/flop' region containing 15 genes near the centromere of chromosome XIV. The region exists in two orientations, called reference (REF) and inverted (INV). Meiotic recombination in this region is suppressed in crosses between REF and INV orientation strains such as the BY x RM cross. We find that the inversion polymorphism is at least 17 million years old because it is conserved across the genus Saccharomyces. However, the REF and INV isomers are not ancient alleles but are continually being re-created by re-inversion of the region within each species. Inversion occurs due to continual homogenization of two almost identical 4-kb sequences that form an inverted repeat (IR) at the ends of the flip/flop region. The IR consists of two pairs of genes that are specifically and strongly expressed during the late stages of sporulation. We show that one of these gene pairs, YNL018C/YNL034W, codes for a protein that is essential for spore formation. YNL018C and YNL034W are the founder members of a gene family, Centroid, whose members in other Saccharomycetaceae species evolve fast, duplicate frequently, and are preferentially located close to centromeres. We tested the hypothesis that Centroid genes are a meiotic drive system, but found no support for this idea.
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Affiliation(s)
- Letal I. Salzberg
- Conway Institute, University College Dublin, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Alexandre A. R. Martos
- Conway Institute, University College Dublin, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Lisa Lombardi
- Conway Institute, University College Dublin, Dublin, Ireland
- School of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Lars S. Jermiin
- School of Medicine, University College Dublin, Dublin, Ireland
- School of Biology and Environmental Science, University College Dublin, Dublin, Ireland
- Earth Institute, University College Dublin, Dublin, Ireland
- Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Alfonso Blanco
- Conway Institute, University College Dublin, Dublin, Ireland
| | - Kevin P. Byrne
- Conway Institute, University College Dublin, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
| | - Kenneth H. Wolfe
- Conway Institute, University College Dublin, Dublin, Ireland
- School of Medicine, University College Dublin, Dublin, Ireland
- * E-mail:
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15
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Rajeshkannan, Mahilkar A, Saini S. GAL Regulon in the Yeast S. cerevisiae is Highly Evolvable via Acquisition in the Coding Regions of the Regulatory Elements of the Network. Front Mol Biosci 2022; 9:801011. [PMID: 35372523 PMCID: PMC8964464 DOI: 10.3389/fmolb.2022.801011] [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: 10/24/2021] [Accepted: 02/22/2022] [Indexed: 12/02/2022] Open
Abstract
GAL network in the yeast S. cerevisiae is one of the most well-characterized regulatory network. Expression of GAL genes is contingent on exposure to galactose, and an appropriate combination of the alleles of the regulatory genes GAL3, GAL1, GAL80, and GAL4. The presence of multiple regulators in the GAL network makes it unique, as compared to the many sugar utilization networks studied in bacteria. For example, utilization of lactose is controlled by a single regulator LacI, in E. coli’s lac operon. Moreover, recent work has demonstrated that multiple alleles of these regulatory proteins are present in yeast isolated from ecological niches. In this work, we develop a mathematical model, and demonstrate via deterministic and stochastic runs of the model, that behavior/gene expression patterns of the cells (at a population level, and at a single-cell resolution) can be modulated by altering the binding affinities between the regulatory proteins. This adaptability is likely the key to explaining the multiple GAL regulatory alleles discovered in ecological isolates in recent years.
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16
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Peris D, Lu DS, Kinneberg VB, Methlie IS, Dahl MS, James TY, Kauserud H, Skrede I. Large-scale fungal strain sequencing unravels the molecular diversity in mating loci maintained by long-term balancing selection. PLoS Genet 2022; 18:e1010097. [PMID: 35358178 PMCID: PMC8970355 DOI: 10.1371/journal.pgen.1010097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/14/2022] [Indexed: 11/19/2022] Open
Abstract
Balancing selection, an evolutionary force that retains genetic diversity, has been detected in multiple genes and organisms, such as the sexual mating loci in fungi. However, to quantify the strength of balancing selection and define the mating-related genes require a large number of strains. In tetrapolar basidiomycete fungi, sexual type is determined by two unlinked loci, MATA and MATB. Genes in both loci define mating type identity, control successful mating and completion of the life cycle. These loci are usually highly diverse. Previous studies have speculated, based on culture crosses, that species of the non-model genus Trichaptum (Hymenochaetales, Basidiomycota) possess a tetrapolar mating system, with multiple alleles. Here, we sequenced a hundred and eighty strains of three Trichaptum species. We characterized the chromosomal location of MATA and MATB, the molecular structure of MAT regions and their allelic richness. The sequencing effort was sufficient to molecularly characterize multiple MAT alleles segregating before the speciation event of Trichaptum species. Analyses suggested that long-term balancing selection has generated trans-species polymorphisms. Mating sequences were classified in different allelic classes based on an amino acid identity (AAI) threshold supported by phylogenetics. 17,550 mating types were predicted based on the allelic classes. In vitro crosses allowed us to support the degree of allelic divergence needed for successful mating. Even with the high amount of divergence, key amino acids in functional domains are conserved. We conclude that the genetic diversity of mating loci in Trichaptum is due to long-term balancing selection, with limited recombination and duplication activity. The large number of sequenced strains highlighted the importance of sequencing multiple individuals from different species to detect the mating-related genes, the mechanisms generating diversity and the evolutionary forces maintaining them.
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Affiliation(s)
- David Peris
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway
- Department of Health, Valencian International University (VIU), Valencia, Spain
| | - Dabao Sun Lu
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Vilde Bruhn Kinneberg
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Ine-Susanne Methlie
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Malin Stapnes Dahl
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Timothy Y. James
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Håvard Kauserud
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway
| | - Inger Skrede
- Section for Genetics and Evolutionary Biology, Department of Biosciences, University of Oslo, Oslo, Norway
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17
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Saada OA, Tsouris A, Large C, Friedrich A, Dunham MJ, Schacherer J. Phased polyploid genomes provide deeper insight into the multiple origins of domesticated Saccharomyces cerevisiae beer yeasts. Curr Biol 2022; 32:1350-1361.e3. [PMID: 35180385 DOI: 10.1016/j.cub.2022.01.068] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/02/2021] [Accepted: 01/21/2022] [Indexed: 10/19/2022]
Abstract
Yeasts, and in particular Saccharomyces cerevisiae, have been used for brewing beer for thousands of years. Population genomic surveys highlighted that beer yeasts are polyphyletic, with the emergence of different domesticated subpopulations characterized by high genetic diversity and ploidy level. However, the different origins of these subpopulations are still unclear as reconstruction of polyploid genomes is required. To gain better insight into the differential evolutionary trajectories, we sequenced the genomes of 35 Saccharomyces cerevisiae isolates coming from different beer-brewing clades, using a long-read sequencing strategy. By phasing the genomes and using a windowed approach, we identified three main beer subpopulations based on allelic content (European dominant, Asian dominant, and African beer). They were derived from different admixtures between populations and are characterized by distinctive genomic patterns. By comparing the fully phased genes, the most diverse in our dataset are enriched for functions relevant to the brewing environment such as carbon metabolism, oxidoreduction, and cell wall organization activity. Finally, independent domestication, evolution, and adaptation events across subpopulations were also highlighted by investigating specific genes previously linked to the brewing process. Altogether, our analysis based on phased polyploid genomes has led to new insight into the contrasting evolutionary history of beer isolates.
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Affiliation(s)
- Omar Abou Saada
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Andreas Tsouris
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Chris Large
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Anne Friedrich
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France
| | - Maitreya J Dunham
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Joseph Schacherer
- Université de Strasbourg, CNRS, GMGM UMR 7156, Strasbourg, France; Institut Universitaire de France (IUF), Paris, France.
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18
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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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19
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Boocock J, Sadhu MJ, Durvasula A, Bloom JS, Kruglyak L. Ancient balancing selection maintains incompatible versions of the galactose pathway in yeast. Science 2021; 371:415-419. [PMID: 33479156 DOI: 10.1126/science.aba0542] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 05/08/2020] [Accepted: 12/17/2020] [Indexed: 02/02/2023]
Abstract
Metabolic pathways differ across species but are expected to be similar within a species. We discovered two functional, incompatible versions of the galactose pathway in Saccharomyces cerevisiae We identified a three-locus genetic interaction for growth in galactose, and used precisely engineered alleles to show that it arises from variation in the galactose utilization genes GAL2, GAL1/10/7, and phosphoglucomutase (PGM1), and that the reference allele of PGM1 is incompatible with the alternative alleles of the other genes. Multiloci balancing selection has maintained the two incompatible versions of the pathway for millions of years. Strains with alternative alleles are found primarily in galactose-rich dairy environments, and they grow faster in galactose but slower in glucose, revealing a trade-off on which balancing selection may have acted.
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Affiliation(s)
- James Boocock
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA.,Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, CA, USA.,Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Meru J Sadhu
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.,Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA.,Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, CA, USA.,Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Arun Durvasula
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Joshua S Bloom
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA. .,Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA.,Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, CA, USA.,Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Leonid Kruglyak
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA. .,Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA.,Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, CA, USA.,Institute for Quantitative and Computational Biology, University of California, Los Angeles, Los Angeles, CA, USA
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