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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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Christinaki AC, Myridakis AI, Kouvelis VN. Genomic insights into the evolution and adaptation of secondary metabolite gene clusters in fungicolous species Cladobotryum mycophilum ATHUM6906. G3 (BETHESDA, MD.) 2024; 14:jkae006. [PMID: 38214578 PMCID: PMC10989895 DOI: 10.1093/g3journal/jkae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/01/2023] [Accepted: 11/29/2023] [Indexed: 01/13/2024]
Abstract
Mycophilic or fungicolous fungi can be found wherever fungi exist since they are able to colonize other fungi, which occupy a diverse range of habitats. Some fungicolous species cause important diseases on Basidiomycetes, and thus, they are the main reason for the destruction of mushroom cultivations. Nonetheless, despite their ecological significance, their genomic data remain limited. Cladobotryum mycophilum is one of the most aggressive species of the genus, destroying the economically important Agaricus bisporus cultivations. The 40.7 Mb whole genome of the Greek isolate ATHUM6906 is assembled in 16 fragments, including the mitochondrial genome and 2 small circular mitochondrial plasmids, in this study. This genome includes a comprehensive set of 12,282 protein coding, 56 rRNA, and 273 tRNA genes. Transposable elements, CAZymes, and pathogenicity related genes were also examined. The genome of C. mycophilum contained a diverse arsenal of genes involved in secondary metabolism, forming 106 biosynthetic gene clusters, which renders this genome as one of the most BGC abundant among fungicolous species. Comparative analyses were performed for genomes of species of the family Hypocreaceae. Some BGCs identified in C. mycophilum genome exhibited similarities to clusters found in the family Hypocreaceae, suggesting vertical heritage. In contrast, certain BGCs showed a scattered distribution among Hypocreaceae species or were solely found in Cladobotryum genomes. This work provides evidence of extensive BGC losses, horizontal gene transfer events, and formation of novel BGCs during evolution, potentially driven by neutral or even positive selection pressures. These events may increase Cladobotryum fitness under various environmental conditions and potentially during host-fungus interaction.
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Affiliation(s)
- Anastasia C Christinaki
- Section of Genetics and Biotechnology, Department of Biology, National and Kapodistrian University of Athens, Athens 15771, Greece
| | - Antonis I Myridakis
- Section of Genetics and Biotechnology, Department of Biology, National and Kapodistrian University of Athens, Athens 15771, Greece
| | - Vassili N Kouvelis
- Section of Genetics and Biotechnology, Department of Biology, National and Kapodistrian University of Athens, Athens 15771, Greece
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3
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Lee J, Simpson L, Li Y, Becker S, Zou F, Zhang X, Bai L. Transcription Factor Condensates Mediate Clustering of MET Regulon and Enhancement in Gene Expression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.06.579062. [PMID: 38370634 PMCID: PMC10871269 DOI: 10.1101/2024.02.06.579062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Some transcription factors (TFs) can form liquid-liquid phase separated (LLPS) condensates. However, the functions of these TF condensates in 3D genome organization and gene regulation remain elusive. In response to methionine (met) starvation, budding yeast TF Met4 and a few co-activators, including Met32, induce a set of genes involved in met biosynthesis. Here, we show that the endogenous Met4 and Met32 form co-localized puncta-like structures in yeast nuclei upon met depletion. Recombinant Met4 and Met32 form mixed droplets with LLPS properties in vitro. In relation to chromatin, Met4 puncta co-localize with target genes, and at least a subset of these target genes are clustered in 3D in a Met4-dependent manner. A MET3pr-GFP reporter inserted near several native Met4 binding sites becomes co-localized with Met4 puncta and displays enhanced transcriptional activity. A Met4 variant with a partial truncation of an intrinsically disordered region (IDR) shows less puncta formation, and this mutant selectively reduces the reporter activity near Met4 binding sites to the basal level. Overall, these results support a model where Met4 and co-activators form condensates to bring multiple target genes into a vicinity with higher local TF concentrations, which facilitates a strong response to methionine depletion.
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Affiliation(s)
- James Lee
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Leman Simpson
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Chemistry, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Yi Li
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Samuel Becker
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Fan Zou
- Department of Physics, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Xin Zhang
- Department of Chemistry, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Lu Bai
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
- Center for Eukaryotic Gene Regulation, The Pennsylvania State University, University Park, PA, 16802, USA
- Department of Physics, The Pennsylvania State University, University Park, PA, 16802, USA
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4
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Cittadino GM, Andrews J, Purewal H, Estanislao Acuña Avila P, Arnone JT. Functional Clustering of Metabolically Related Genes Is Conserved across Dikarya. J Fungi (Basel) 2023; 9:jof9050523. [PMID: 37233234 DOI: 10.3390/jof9050523] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/08/2023] [Accepted: 04/27/2023] [Indexed: 05/27/2023] Open
Abstract
Transcriptional regulation is vital for organismal survival, with many layers and mechanisms collaborating to balance gene expression. One layer of this regulation is genome organization, specifically the clustering of functionally related, co-expressed genes along the chromosomes. Spatial organization allows for position effects to stabilize RNA expression and balance transcription, which can be advantageous for a number of reasons, including reductions in stochastic influences between the gene products. The organization of co-regulated gene families into functional clusters occurs extensively in Ascomycota fungi. However, this is less characterized within the related Basidiomycota fungi despite the many uses and applications for the species within this clade. This review will provide insight into the prevalence, purpose, and significance of the clustering of functionally related genes across Dikarya, including foundational studies from Ascomycetes and the current state of our understanding throughout representative Basidiomycete species.
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Affiliation(s)
- Gina M Cittadino
- Department of Biological and Environmental Sciences, Le Moyne College, Syracuse, NY 13214, USA
| | - Johnathan Andrews
- Department of Biological and Environmental Sciences, Le Moyne College, Syracuse, NY 13214, USA
| | - Harpreet Purewal
- Department of Biological and Environmental Sciences, Le Moyne College, Syracuse, NY 13214, USA
| | | | - James T Arnone
- Department of Biological and Environmental Sciences, Le Moyne College, Syracuse, NY 13214, USA
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5
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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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6
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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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7
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Bryson AE, Lanier ER, Lau KH, Hamilton JP, Vaillancourt B, Mathieu D, Yocca AE, Miller GP, Edger PP, Buell CR, Hamberger B. Uncovering a miltiradiene biosynthetic gene cluster in the Lamiaceae reveals a dynamic evolutionary trajectory. Nat Commun 2023; 14:343. [PMID: 36670101 PMCID: PMC9860074 DOI: 10.1038/s41467-023-35845-1] [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: 04/08/2022] [Accepted: 01/04/2023] [Indexed: 01/22/2023] Open
Abstract
The spatial organization of genes within plant genomes can drive evolution of specialized metabolic pathways. Terpenoids are important specialized metabolites in plants with diverse adaptive functions that enable environmental interactions. Here, we report the genome assemblies of Prunella vulgaris, Plectranthus barbatus, and Leonotis leonurus. We investigate the origin and subsequent evolution of a diterpenoid biosynthetic gene cluster (BGC) together with other seven species within the Lamiaceae (mint) family. Based on core genes found in the BGCs of all species examined across the Lamiaceae, we predict a simplified version of this cluster evolved in an early Lamiaceae ancestor. The current composition of the extant BGCs highlights the dynamic nature of its evolution. We elucidate the terpene backbones generated by the Callicarpa americana BGC enzymes, including miltiradiene and the terpene (+)-kaurene, and show oxidization activities of BGC cytochrome P450s. Our work reveals the fluid nature of BGC assembly and the importance of genome structure in contributing to the origin of metabolites.
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Affiliation(s)
- Abigail E Bryson
- Department of Biochemistry, Michigan State University, East Lansing, MI, USA
| | - Emily R Lanier
- Department of Biochemistry, Michigan State University, East Lansing, MI, USA
| | - Kin H Lau
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Bioinformatics and Biostatistics Core, Van Andel Institute, Grand Rapids, MI, USA
| | - John P Hamilton
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Brieanne Vaillancourt
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Center for Applied Genetic Technologies, University of Georgia, Athens, GA, USA
| | - Davis Mathieu
- Department of Biochemistry, Michigan State University, East Lansing, MI, USA
| | - Alan E Yocca
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
| | - Garret P Miller
- Department of Biochemistry, Michigan State University, East Lansing, MI, USA
| | - Patrick P Edger
- Department of Horticulture, Michigan State University, East Lansing, MI, USA
| | - C Robin Buell
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Plant Resilience Institute, Michigan State University, East Lansing, MI, USA
| | - Björn Hamberger
- Department of Biochemistry, Michigan State University, East Lansing, MI, USA.
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8
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Li Y, Liu H, Steenwyk JL, LaBella AL, Harrison MC, Groenewald M, Zhou X, Shen XX, Zhao T, Hittinger CT, Rokas A. Contrasting modes of macro and microsynteny evolution in a eukaryotic subphylum. Curr Biol 2022; 32:5335-5343.e4. [PMID: 36334587 PMCID: PMC10615371 DOI: 10.1016/j.cub.2022.10.025] [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: 04/07/2022] [Revised: 08/24/2022] [Accepted: 10/13/2022] [Indexed: 11/06/2022]
Abstract
Examination of the changes in order and arrangement of homologous genes is key for understanding the mechanisms of genome evolution in eukaryotes. Previous comparisons between eukaryotic genomes have revealed considerable conservation across species that diverged hundreds of millions of years ago (e.g., vertebrates,1,2,3 bilaterian animals,4,5 and filamentous fungi6). However, understanding how genome organization evolves within and between eukaryotic major lineages remains underexplored. We analyzed high-quality genomes of 120 representative budding yeast species (subphylum Saccharomycotina) spanning ∼400 million years of eukaryotic evolution to examine how their genome organization evolved and to compare it with the evolution of animal and plant genome organization.7 We found that the decay of both macrosynteny (the conservation of homologous chromosomes) and microsynteny (the conservation of local gene content and order) was strongly associated with evolutionary divergence across budding yeast major clades. However, although macrosynteny decayed very fast, within ∼100 million years, the microsynteny of many genes-especially genes in metabolic clusters (e.g., in the GAL gene cluster8)-was much more deeply conserved both within major clades and across the subphylum. We further found that when genomes with similar evolutionary divergence times were compared, budding yeasts had lower macrosynteny conservation than animals and filamentous fungi but higher conservation than angiosperms. In contrast, budding yeasts had levels of microsynteny conservation on par with mammals, whereas angiosperms exhibited very low conservation. Our results provide new insight into the tempo and mode of the evolution of gene and genome organization across an entire eukaryotic subphylum.
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Affiliation(s)
- Yuanning Li
- Institute of Marine Science and Technology, Shandong University, 72 Binhai Road, Qingdao 266237, China.
| | - Hongyue Liu
- Institute of Marine Science and Technology, Shandong University, 72 Binhai Road, Qingdao 266237, China
| | - Jacob L Steenwyk
- Department of Biological Sciences, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA; Vanderbilt Evolutionary Studies Initiative, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA
| | - Abigail L LaBella
- Department of Biological Sciences, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA; Vanderbilt Evolutionary Studies Initiative, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA
| | - Marie-Claire Harrison
- Department of Biological Sciences, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA; Vanderbilt Evolutionary Studies Initiative, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA
| | - Marizeth Groenewald
- Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands
| | - Xiaofan Zhou
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Centre, South China Agricultural University, 483 Wushan Road, Guangzhou 520643, China
| | - Xing-Xing Shen
- Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Institute of Insect Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Tao Zhao
- State Key Laboratory of Crop Stress Biology for Arid Areas, Shaanxi Key Laboratory of Apple, College of Horticulture, Northwest A&F University, Taicheng Road 3, Yangling 712100, China
| | - Chris Todd Hittinger
- Laboratory of Genetics, DOE Great Lakes Bioenergy Research Center, Center for Genomic Science Innovation, J.F. Crow Institute for the Study of Evolution, Wisconsin Energy Institute, 1552 University Avenue, University of Wisconsin-Madison, Madison, WI 53726-4084, USA
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA; Vanderbilt Evolutionary Studies Initiative, Vanderbilt University, VU Station B#35-1634, Nashville, TN 37235, USA; Heidelberg Institute for Theoretical Studies, Schloss-Wolfsbrunnenweg 35, 69118 Heidelberg, Germany.
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9
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Li X, An M, Xu C, Jiang L, Yan F, Yang Y, Zhang C, Wu Y. Integrative transcriptome analysis revealed the pathogenic molecular basis of Rhizoctonia solani AG-3 TB at three progressive stages of infection. Front Microbiol 2022; 13:1001327. [PMID: 36304957 PMCID: PMC9593035 DOI: 10.3389/fmicb.2022.1001327] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 09/16/2022] [Indexed: 12/04/2022] Open
Abstract
Rhizoctonia solani has a broad host range and results in significant losses in agricultural production. Here, an integrated transcriptomic analysis was performed to reveal the critical genes responsible for the pathogenesis of R. solani AG-3 TB on Nicotiana tabacum at different infection stages. The results showed that various differential expressed genes (DEGs) were enriched in fatty acid metabolism, amino sugar, carbon metabolism, and cellular carbohydrate biosynthetic process at the early (6–12 hpi), middle (24–36 hpi), and late stage (48–72 hpi) of infection. Specifically, several critical genes such as shikimate kinase that were involved in the biosynthesis of an important fungal toxin, phenylacetic acid (PAA) showed markedly increase at 24 hpi. Additionally, the genes expression levels of carbohydrate-active enzymes (CAZymes) and cell wall degrading enzymes (CWDEs) were significantly increased at the late infection stage. Furthermore, we identified 807 potential secreted proteins and 78 small cysteine-rich proteins, which may function as fungal effectors and involved in the pathogenicity. These results provide valuable insights into critical and potential genes as well as the pathways involved in the pathogenesis of R. solani AG-3 TB.
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Affiliation(s)
- Xinchun Li
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, China
| | - Mengnan An
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, China
| | - Chuantao Xu
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, China
- Luzhou Branch of Sichuan Province Tobacco Company, Luzhou, China
| | - Lianqiang Jiang
- Liangshan Branch of Sichuan Province Tobacco Company, Xichang, China
| | - Fangfang Yan
- Panzhihua Branch of Sichuan Province Tobacco Company, Panzhihua, China
| | - Yang Yang
- Yibin Branch of Sichuan Province Tobacco Company, Yibin, China
| | - Chong Zhang
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, China
- *Correspondence: Chong Zhang,
| | - Yuanhua Wu
- Liaoning Key Laboratory of Plant Pathology, College of Plant Protection, Shenyang Agricultural University, Shenyang, China
- Yuanhua Wu,
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10
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Gonçalves P, Gonçalves C. Horizontal gene transfer in yeasts. Curr Opin Genet Dev 2022; 76:101950. [PMID: 35841879 DOI: 10.1016/j.gde.2022.101950] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/01/2022] [Accepted: 06/12/2022] [Indexed: 11/29/2022]
Abstract
Horizontal gene transfer (HGT), defined as the exchange of genetic material other than from parent to progeny, is very common in bacteria and appears to constitute the most important mechanism contributing to enlarge a species gene pool. However, in eukaryotes, HGT is certainly much less common and some early insufficiently consubstantiated cases involving bacterial donors led some to consider that it was unlikely to occur in eukaryotes outside the host/endosymbiont relationship. More recently, plenty of reports of interdomain HGT have seen the light based on the strictest criteria, many concerning filamentous fungi and yeasts. Here, we attempt to summarize the most prominent instances of HGT reported in yeasts as well as what we have been able to learn so far concerning frequency and distribution, mechanisms, barriers, function of horizontally acquired genes, and the role of HGT in domestication.
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Affiliation(s)
- Paula Gonçalves
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal; UCIBIO - Applied Molecular Biosciences Unit, Department of Life Sciences, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal.
| | - Carla Gonçalves
- Vanderbilt University, Department of Biological Sciences, VU Station B #35-1634, Nashville, TN 37235, United States of America; Evolutionary Studies Initiative, Vanderbilt University, VU Station B #35-1634, Nashville, TN 37235, United States of America. https://twitter.com/@ciggoncalves
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11
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Chen Z, Huang X, Fu R, Zhan A. Neighbours matter: Effects of genomic organization on gene expression plasticity in response to environmental stresses during biological invasions. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2022; 42:100992. [PMID: 35504120 DOI: 10.1016/j.cbd.2022.100992] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 04/07/2022] [Accepted: 04/21/2022] [Indexed: 06/14/2023]
Abstract
Gene expression regulation has been widely recognized as an important molecular mechanism underlying phenotypic plasticity in environmental adaptation. However, it remains largely unexplored on the effects of genomic organization on gene expression plasticity under environmental stresses during biological invasions. Here, we use an invasive model ascidian, Ciona robusta, to investigate how genomic organization affects gene expression in response to salinity stresses during range expansions. Our study showed that neighboring genes were co-expressed and approximately 30% of stress responsive genes were physically clustered on chromosomes. Such coordinated expression was substantially affected by the physical distance and orientation of genes. Interestingly, the overall expression correlation of neighboring genes was significantly decreased under high salinity stresses, illustrating that the co-expression regulation could be disrupted by salinity challenges. Furthermore, the clustering of genes was associated with their function constraints and expression patterns - operon genes enriched in gene expression machinery had the highest transcriptional activity and expression stability. Notably, our analyses showed that the tail-to-tail genes, mainly involved in biological functions related to phosphorylation, homeostatic process, and ion transport, exhibited higher intrinsic expression variability and greater response to salinity challenges. Altogether, the results obtained here provide new insights into the effects of gene organization on gene expression plasticity under environmental challenges, hence improving our knowledge on mechanisms of rapid environmental adaptation during biological invasions.
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Affiliation(s)
- Zaohuang Chen
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Haidian District, Beijing 100085, China; University of Chinese Academy of Sciences, Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Xuena Huang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Haidian District, Beijing 100085, China
| | - Ruiying Fu
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Haidian District, Beijing 100085, China; University of Chinese Academy of Sciences, Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China
| | - Aibin Zhan
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 18 Shuangqing Road, Haidian District, Beijing 100085, China; University of Chinese Academy of Sciences, Chinese Academy of Sciences, 19A Yuquan Road, Shijingshan District, Beijing 100049, China.
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12
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Wu D, Jiang B, Ye CY, Timko MP, Fan L. Horizontal transfer and evolution of the biosynthetic gene cluster for benzoxazinoids in plants. PLANT COMMUNICATIONS 2022; 3:100320. [PMID: 35576160 PMCID: PMC9251436 DOI: 10.1016/j.xplc.2022.100320] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Revised: 03/07/2022] [Accepted: 03/23/2022] [Indexed: 05/11/2023]
Abstract
Benzoxazinoids are a class of protective and allelopathic plant secondary metabolites that have been identified in multiple grass species and are encoded by the Bx biosynthetic gene cluster (BGC) in maize. Data mining of 41 high-quality grass genomes identified complete Bx clusters (containing genes Bx1-Bx5 and Bx8) in three genera (Zea, Echinochloa, and Dichanthelium) of Panicoideae and partial clusters in Triticeae. The Bx cluster probably originated from gene duplication and chromosomal translocation of native homologs of Bx genes. An ancient Bx cluster that included additional Bx genes (e.g., Bx6) is presumed to have been present in ancestral Panicoideae. The ancient Bx cluster was putatively gained by the Triticeae ancestor via horizontal transfer (HT) from the ancestral Panicoideae and later separated into multiple segments on different chromosomes. Bx6 appears to have been under less constrained selection compared with the Bx cluster during the evolution of Panicoideae, as evidenced by the fact that it was translocated away from the Bx cluster in Zea mays, moved to other chromosomes in Echinochloa, and even lost in Dichanthelium. Further investigations indicate that purifying selection and polyploidization have shaped the evolutionary trajectory of Bx clusters in the grass family. This study provides the first candidate case of HT of a BGC between plants and sheds new light on the evolution of BGCs.
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Affiliation(s)
- Dongya Wu
- Hainan Institute of Zhejiang University, Yonyou Industrial Park, Sanya 572025, China; Institute of Crop Science & Institute of Bioinformatics, Zhejiang University, Hangzhou 310058, China
| | - Bowen Jiang
- Institute of Crop Science & Institute of Bioinformatics, Zhejiang University, Hangzhou 310058, China
| | - Chu-Yu Ye
- Institute of Crop Science & Institute of Bioinformatics, Zhejiang University, Hangzhou 310058, China
| | - Michael P Timko
- Department of Biology, University of Virginia, Charlottesville, VA 22904, USA
| | - Longjiang Fan
- Hainan Institute of Zhejiang University, Yonyou Industrial Park, Sanya 572025, China; Institute of Crop Science & Institute of Bioinformatics, Zhejiang University, Hangzhou 310058, China.
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13
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De Miccolis Angelini RM, Landi L, Raguseo C, Pollastro S, Faretra F, Romanazzi G. Tracking of Diversity and Evolution in the Brown Rot Fungi Monilinia fructicola, Monilinia fructigena, and Monilinia laxa. Front Microbiol 2022; 13:854852. [PMID: 35356516 PMCID: PMC8959702 DOI: 10.3389/fmicb.2022.854852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/15/2022] [Indexed: 11/13/2022] Open
Abstract
Monilinia species are among the most devastating fungi worldwide as they cause brown rot and blossom blight on fruit trees. To understand the molecular bases of their pathogenic lifestyles, we compared the newly assembled genomes of single strains of Monilinia fructicola, M. fructigena and M. laxa, with those of Botrytis cinerea and Sclerotinia sclerotiorum, as the closest species within Sclerotiniaceae. Phylogenomic analysis of orthologous proteins and syntenic investigation suggest that M. laxa is closer to M. fructigena than M. fructicola, and is closest to the other investigated Sclerotiniaceae species. This indicates that M. laxa was the earliest result of the speciation process. Distinct evolutionary profiles were observed for transposable elements (TEs). M. fructicola and M. laxa showed older bursts of TE insertions, which were affected (mainly in M. fructicola) by repeat-induced point (RIP) mutation gene silencing mechanisms. These suggested frequent occurrence of the sexual process in M. fructicola. More recent TE expansion linked with low RIP action was observed in M. fructigena, with very little in S. sclerotiorum and B. cinerea. The detection of active non-syntenic TEs is indicative of horizontal gene transfer and has resulted in alterations in specific gene functions. Analysis of candidate effectors, biosynthetic gene clusters for secondary metabolites and carbohydrate-active enzymes, indicated that Monilinia genus has multiple virulence mechanisms to infect host plants, including toxins, cell-death elicitor, putative virulence factors and cell-wall-degrading enzymes. Some species-specific pathogenic factors might explain differences in terms of host plant and organ preferences between M. fructigena and the other two Monilinia species.
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Affiliation(s)
| | - Lucia Landi
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
| | - Celeste Raguseo
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Stefania Pollastro
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Francesco Faretra
- Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Bari, Italy
| | - Gianfranco Romanazzi
- Department of Agricultural, Food and Environmental Sciences, Marche Polytechnic University, Ancona, Italy
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14
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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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15
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Yang X, Gao S, Guo L, Wang B, Jia Y, Zhou J, Che Y, Jia P, Lin J, Xu T, Sun J, Ye K. Three chromosome-scale Papaver genomes reveal punctuated patchwork evolution of the morphinan and noscapine biosynthesis pathway. Nat Commun 2021; 12:6030. [PMID: 34654815 PMCID: PMC8521590 DOI: 10.1038/s41467-021-26330-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 09/29/2021] [Indexed: 01/07/2023] Open
Abstract
For millions of years, plants evolve plenty of structurally diverse secondary metabolites (SM) to support their sessile lifestyles through continuous biochemical pathway innovation. While new genes commonly drive the evolution of plant SM pathway, how a full biosynthetic pathway evolves remains poorly understood. The evolution of pathway involves recruiting new genes along the reaction cascade forwardly, backwardly, or in a patchwork manner. With three chromosome-scale Papaver genome assemblies, we here reveal whole-genome duplications (WGDs) apparently accelerate chromosomal rearrangements with a nonrandom distribution towards SM optimization. A burst of structural variants involving fusions, translocations and duplications within 7.7 million years have assembled nine genes into the benzylisoquinoline alkaloids gene cluster, following a punctuated patchwork model. Biosynthetic gene copies and their total expression matter to morphinan production. Our results demonstrate how new genes have been recruited from a WGD-induced repertoire of unregulated enzymes with promiscuous reactivities to innovate efficient metabolic pathways with spatiotemporal constraint.
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Affiliation(s)
- Xiaofei Yang
- School of Computer Science and Technology, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Genome Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Shenghan Gao
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Li Guo
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Bo Wang
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Yanyan Jia
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jian Zhou
- College of Life Sciences, Henan Normal University, Xinxiang, Henan, China
| | - Yizhuo Che
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Peng Jia
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jiadong Lin
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,Faculty of Science, Leiden University, Leiden, The Netherlands
| | - Tun Xu
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China.,School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jianyong Sun
- School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Kai Ye
- MOE Key Lab for Intelligent Networks & Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China. .,Genome Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China. .,School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China. .,School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi, China. .,Faculty of Science, Leiden University, Leiden, The Netherlands.
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16
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Bokor E, Flipphi M, Kocsubé S, Ámon J, Vágvölgyi C, Scazzocchio C, Hamari Z. Genome organization and evolution of a eukaryotic nicotinate co-inducible pathway. Open Biol 2021; 11:210099. [PMID: 34582709 PMCID: PMC8478523 DOI: 10.1098/rsob.210099] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
In Aspergillus nidulans a regulon including 11 hxn genes (hxnS, T, R, P, Y, Z, X, W, V, M and N) is inducible by a nicotinate metabolic derivative, repressible by ammonium and under stringent control of the nitrogen-state-sensitive GATA factor AreA and the specific transcription factor HxnR. This is the first report in a eukaryote of the genomic organization of a possibly complete pathway of nicotinate utilization. In A. nidulans the regulon is organized in three distinct clusters, this organization is variable in the Ascomycota. In some Pezizomycotina species all 11 genes map in a single cluster; in others they map in two clusters. This variable organization sheds light on cluster evolution. Instances of gene duplication followed by or simultaneous with integration in the cluster, partial or total cluster loss, and horizontal gene transfer of several genes (including an example of whole cluster re-acquisition in Aspergillus of section Flavi) were detected, together with the incorporation in some clusters of genes not found in the A. nidulans co-regulated regulon, which underlie both the plasticity and the reticulate character of metabolic cluster evolution. This study provides a comprehensive phylogeny of six members of the cluster across representatives of all Ascomycota classes.
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Affiliation(s)
- Eszter Bokor
- Department of Microbiology, University of Szeged Faculty of Science and Informatics, Szeged, Hungary
| | - Michel Flipphi
- Institute de Génétique et Microbiologie, Université Paris-Sud, Orsay, France
| | - Sándor Kocsubé
- Department of Microbiology, University of Szeged Faculty of Science and Informatics, Szeged, Hungary
| | - Judit Ámon
- Department of Microbiology, University of Szeged Faculty of Science and Informatics, Szeged, Hungary
| | - Csaba Vágvölgyi
- Department of Microbiology, University of Szeged Faculty of Science and Informatics, Szeged, Hungary
| | - Claudio Scazzocchio
- Department of Microbiology, Imperial College, London, UK,Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette 91198, France
| | - Zsuzsanna Hamari
- Department of Microbiology, University of Szeged Faculty of Science and Informatics, Szeged, Hungary
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17
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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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18
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Bharadwaj R, Kumar SR, Sharma A, Sathishkumar R. Plant Metabolic Gene Clusters: Evolution, Organization, and Their Applications in Synthetic Biology. FRONTIERS IN PLANT SCIENCE 2021; 12:697318. [PMID: 34490002 PMCID: PMC8418127 DOI: 10.3389/fpls.2021.697318] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 07/05/2021] [Indexed: 05/21/2023]
Abstract
Plants are a remarkable source of high-value specialized metabolites having significant physiological and ecological functions. Genes responsible for synthesizing specialized metabolites are often clustered together for a coordinated expression, which is commonly observed in bacteria and filamentous fungi. Similar to prokaryotic gene clustering, plants do have gene clusters encoding enzymes involved in the biosynthesis of specialized metabolites. More than 20 gene clusters involved in the biosynthesis of diverse metabolites have been identified across the plant kingdom. Recent studies demonstrate that gene clusters are evolved through gene duplications and neofunctionalization of primary metabolic pathway genes. Often, these clusters are tightly regulated at nucleosome level. The prevalence of gene clusters related to specialized metabolites offers an attractive possibility of an untapped source of highly useful biomolecules. Accordingly, the identification and functional characterization of novel biosynthetic pathways in plants need to be worked out. In this review, we summarize insights into the evolution of gene clusters and discuss the organization and importance of specific gene clusters in the biosynthesis of specialized metabolites. Regulatory mechanisms which operate in some of the important gene clusters have also been briefly described. Finally, we highlight the importance of gene clusters to develop future metabolic engineering or synthetic biology strategies for the heterologous production of novel metabolites.
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Affiliation(s)
- Revuru Bharadwaj
- Plant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, India
| | - Sarma R. Kumar
- Plant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, India
| | - Ashutosh Sharma
- Tecnologico de Monterrey, Centre of Bioengineering, Querétaro, Mexico
| | - Ramalingam Sathishkumar
- Plant Genetic Engineering Laboratory, Department of Biotechnology, Bharathiar University, Coimbatore, India
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19
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Gröhs Ferrareze PA, Maufrais C, Silva Araujo Streit R, Priest SJ, Cuomo CA, Heitman J, Staats CC, Janbon G. Application of an optimized annotation pipeline to the Cryptococcus deuterogattii genome reveals dynamic primary metabolic gene clusters and genomic impact of RNAi loss. G3-GENES GENOMES GENETICS 2021; 11:6080769. [PMID: 33585873 PMCID: PMC8022950 DOI: 10.1093/g3journal/jkaa070] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Accepted: 12/24/2020] [Indexed: 12/15/2022]
Abstract
Evaluating the quality of a de novo annotation of a complex fungal genome based on RNA-seq data remains a challenge. In this study, we sequentially optimized a Cufflinks-CodingQuary-based bioinformatics pipeline fed with RNA-seq data using the manually annotated model pathogenic yeasts Cryptococcus neoformans and Cryptococcus deneoformans as test cases. Our results show that the quality of the annotation is sensitive to the quantity of RNA-seq data used and that the best quality is obtained with 5–10 million reads per RNA-seq replicate. We also showed that the number of introns predicted is an excellent a priori indicator of the quality of the final de novo annotation. We then used this pipeline to annotate the genome of the RNAi-deficient species Cryptococcus deuterogattii strain R265 using RNA-seq data. Dynamic transcriptome analysis revealed that intron retention is more prominent in C. deuterogattii than in the other RNAi-proficient species C. neoformans and C. deneoformans. In contrast, we observed that antisense transcription was not higher in C. deuterogattii than in the two other Cryptococcus species. Comparative gene content analysis identified 21 clusters enriched in transcription factors and transporters that have been lost. Interestingly, analysis of the subtelomeric regions in these three annotated species identified a similar gene enrichment, reminiscent of the structure of primary metabolic clusters. Our data suggest that there is active exchange between subtelomeric regions, and that other chromosomal regions might participate in adaptive diversification of Cryptococcus metabolite assimilation potential.
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Affiliation(s)
- Patrícia Aline Gröhs Ferrareze
- Département de Mycologie, Institut Pasteur, Unité Biologie des ARN des Pathogènes Fongiques, F-75015 Paris, France.,Programa de Pós-Graduação em Biologia Celular e Molecular, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre 15005, Brazil
| | - Corinne Maufrais
- Département de Mycologie, Institut Pasteur, Unité Biologie des ARN des Pathogènes Fongiques, F-75015 Paris, France.,Département Biologie Computationnelle, Institut Pasteur, HUB Bioinformatique et Biostatistique, C3BI, USR 3756 IP CNRS, F-75015 Paris, France
| | - Rodrigo Silva Araujo Streit
- Programa de Pós-Graduação em Biologia Celular e Molecular, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre 15005, Brazil
| | - Shelby J Priest
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Christina A Cuomo
- Infectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Joseph Heitman
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, NC 27710, USA
| | - Charley Christian Staats
- Programa de Pós-Graduação em Biologia Celular e Molecular, Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul, Porto Alegre 15005, Brazil
| | - Guilhem Janbon
- Département de Mycologie, Institut Pasteur, Unité Biologie des ARN des Pathogènes Fongiques, F-75015 Paris, France
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20
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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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21
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Bhattarai K, Bhattarai K, Kabir ME, Bastola R, Baral B. Fungal natural products galaxy: Biochemistry and molecular genetics toward blockbuster drugs discovery. ADVANCES IN GENETICS 2021; 107:193-284. [PMID: 33641747 DOI: 10.1016/bs.adgen.2020.11.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Secondary metabolites synthesized by fungi have become a precious source of inspiration for the design of novel drugs. Indeed, fungi are prolific producers of fascinating, diverse, structurally complex, and low-molecular-mass natural products with high therapeutic leads, such as novel antimicrobial compounds, anticancer compounds, immunosuppressive agents, among others. Given that these microorganisms possess the extraordinary capacity to secrete diverse chemical scaffolds, they have been highly exploited by the giant pharma companies to generate small molecules. This has been made possible because the isolation of metabolites from fungal natural sources is feasible and surpasses the organic synthesis of compounds, which otherwise remains a significant bottleneck in the drug discovery process. Here in this comprehensive review, we have discussed recent studies on different fungi (pathogenic, non-pathogenic, commensal, and endophytic/symbiotic) from different habitats (terrestrial and marines), the specialized metabolites they biosynthesize, and the drugs derived from these specialized metabolites. Moreover, we have unveiled the logic behind the biosynthesis of vital chemical scaffolds, such as NRPS, PKS, PKS-NRPS hybrid, RiPPS, terpenoids, indole alkaloids, and their genetic mechanisms. Besides, we have provided a glimpse of the concept behind mycotoxins, virulence factor, and host immune response based on fungal infections.
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Affiliation(s)
- Keshab Bhattarai
- Pharmaceutical Institute, Department of Pharmaceutical Biology, University of Tübingen, Tübingen, Germany
| | - Keshab Bhattarai
- Central Department of Chemistry, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Md Ehsanul Kabir
- Animal Health Research Division, Bangladesh Livestock Research Institute, Savar, Dhaka, Bangladesh
| | - Rina Bastola
- Spinal Cord Injury Association-Nepal (SCIAN), Pokhara, Nepal
| | - Bikash Baral
- Department of Biochemistry, University of Turku, Turku, Finland.
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22
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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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23
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The Path towards Predicting Evolution as Illustrated in Yeast Cell Polarity. Cells 2020; 9:cells9122534. [PMID: 33255231 PMCID: PMC7760196 DOI: 10.3390/cells9122534] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/18/2020] [Accepted: 11/21/2020] [Indexed: 01/14/2023] Open
Abstract
A bottom-up route towards predicting evolution relies on a deep understanding of the complex network that proteins form inside cells. In a rapidly expanding panorama of experimental possibilities, the most difficult question is how to conceptually approach the disentangling of such complex networks. These can exhibit varying degrees of hierarchy and modularity, which obfuscate certain protein functions that may prove pivotal for adaptation. Using the well-established polarity network in budding yeast as a case study, we first organize current literature to highlight protein entrenchments inside polarity. Following three examples, we see how alternating between experimental novelties and subsequent emerging design strategies can construct a layered understanding, potent enough to reveal evolutionary targets. We show that if you want to understand a cell’s evolutionary capacity, such as possible future evolutionary paths, seemingly unimportant proteins need to be mapped and studied. Finally, we generalize this research structure to be applicable to other systems of interest.
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24
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Hagee D, Abu Hardan A, Botero J, Arnone JT. Genomic clustering within functionally related gene families in Ascomycota fungi. Comput Struct Biotechnol J 2020; 18:3267-3277. [PMID: 33209211 PMCID: PMC7653285 DOI: 10.1016/j.csbj.2020.10.020] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/15/2020] [Accepted: 10/17/2020] [Indexed: 12/17/2022] Open
Abstract
Multiple mechanisms collaborate for proper regulation of gene expression. One layer of this regulation is through the clustering of functionally related genes at discrete loci throughout the genome. This phenomenon occurs extensively throughout Ascomycota fungi and is an organizing principle for many gene families whose proteins participate in diverse molecular functions throughout the cell. Members of this phylum include organisms that serve as model systems and those of interest medically, pharmaceutically, and for industrial and biotechnological applications. In this review, we discuss the prevalence of functional clustering through a broad range of organisms within the phylum. Position effects on transcription, genomic locations of clusters, transcriptional regulation of clusters, and selective pressures contributing to the formation and maintenance of clusters are addressed, as are common methods to identify and characterize clusters.
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Affiliation(s)
- Danielle Hagee
- Department of Biology, William Paterson University, Wayne, NJ 07470, USA
| | - Ahmad Abu Hardan
- Department of Biology, William Paterson University, Wayne, NJ 07470, USA
| | - Juan Botero
- Department of Biology, William Paterson University, Wayne, NJ 07470, USA
| | - James T. Arnone
- Department of Biology, William Paterson University, Wayne, NJ 07470, USA
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25
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Tiwari P, Bae H. Horizontal Gene Transfer and Endophytes: An Implication for the Acquisition of Novel Traits. PLANTS (BASEL, SWITZERLAND) 2020; 9:E305. [PMID: 32121565 PMCID: PMC7154830 DOI: 10.3390/plants9030305] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 02/19/2020] [Accepted: 02/19/2020] [Indexed: 02/06/2023]
Abstract
Horizontal gene transfer (HGT), an important evolutionary mechanism observed in prokaryotes, is the transmission of genetic material across phylogenetically distant species. In recent years, the availability of complete genomes has facilitated the comprehensive analysis of HGT and highlighted its emerging role in the adaptation and evolution of eukaryotes. Endophytes represent an ecologically favored association, which highlights its beneficial attributes to the environment, in agriculture and in healthcare. The HGT phenomenon in endophytes, which features an important biological mechanism for their evolutionary adaptation within the host plant and simultaneously confers "novel traits" to the associated microbes, is not yet completely understood. With a focus on the emerging implications of HGT events in the evolution of biological species, the present review discusses the occurrence of HGT in endophytes and its socio-economic importance in the current perspective. To our knowledge, this review is the first report that provides a comprehensive insight into the impact of HGT in the adaptation and evolution of endophytes.
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Affiliation(s)
| | - Hanhong Bae
- Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk 38541, Korea;
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26
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Tralamazza SM, Rocha LO, Oggenfuss U, Corrêa B, Croll D. Complex Evolutionary Origins of Specialized Metabolite Gene Cluster Diversity among the Plant Pathogenic Fungi of the Fusarium graminearum Species Complex. Genome Biol Evol 2019; 11:3106-3122. [PMID: 31609418 PMCID: PMC6836718 DOI: 10.1093/gbe/evz225] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/10/2019] [Indexed: 12/26/2022] Open
Abstract
Fungal genomes encode highly organized gene clusters that underlie the production of specialized (or secondary) metabolites. Gene clusters encode key functions to exploit plant hosts or environmental niches. Promiscuous exchange among species and frequent reconfigurations make gene clusters some of the most dynamic elements of fungal genomes. Despite evidence for high diversity in gene cluster content among closely related strains, the microevolutionary processes driving gene cluster gain, loss, and neofunctionalization are largely unknown. We analyzed the Fusarium graminearum species complex (FGSC) composed of plant pathogens producing potent mycotoxins and causing Fusarium head blight on cereals. We de novo assembled genomes of previously uncharacterized FGSC members (two strains of F. austroamericanum, F. cortaderiae, and F. meridionale). Our analyses of 8 species of the FGSC in addition to 15 other Fusarium species identified a pangenome of 54 gene clusters within FGSC. We found that multiple independent losses were a key factor generating extant cluster diversity within the FGSC and the Fusarium genus. We identified a modular gene cluster conserved among distantly related fungi, which was likely reconfigured to encode different functions. We also found strong evidence that a rare cluster in FGSC was gained through an ancient horizontal transfer between bacteria and fungi. Chromosomal rearrangements underlying cluster loss were often complex and were likely facilitated by an enrichment in specific transposable elements. Our findings identify important transitory stages in the birth and death process of specialized metabolism gene clusters among very closely related species.
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Affiliation(s)
- Sabina Moser Tralamazza
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, Brazil
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchatel, Switzerland
| | - Liliana Oliveira Rocha
- Food Engineering Faculty, Department of Food Science, University of Campinas, Av. Monteiro Lobato, Brazil
| | - Ursula Oggenfuss
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchatel, Switzerland
| | - Benedito Corrêa
- Department of Microbiology, Institute of Biomedical Sciences, University of São Paulo, Brazil
| | - Daniel Croll
- Laboratory of Evolutionary Genetics, Institute of Biology, University of Neuchatel, Switzerland
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27
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Multilayered horizontal operon transfers from bacteria reconstruct a thiamine salvage pathway in yeasts. Proc Natl Acad Sci U S A 2019; 116:22219-22228. [PMID: 31611373 DOI: 10.1073/pnas.1909844116] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Horizontal acquisition of bacterial genes is presently recognized as an important contribution to the adaptation and evolution of eukaryotic genomes. However, the mechanisms underlying expression and consequent selection and fixation of the prokaryotic genes in the new eukaryotic setting are largely unknown. Here we show that genes composing the pathway for the synthesis of the essential vitamin B1 (thiamine) were lost in an ancestor of a yeast lineage, the Wickerhamiella/Starmerella (W/S) clade, known to harbor an unusually large number of genes of alien origin. The thiamine pathway was subsequently reassembled, at least twice, by multiple HGT events from different bacterial donors involving both single genes and entire operons. In the W/S-clade species Starmerella bombicola we obtained direct genetic evidence that all bacterial genes of the thiamine pathway are functional. The reconstructed pathway is composed by yeast and bacterial genes operating coordinately to scavenge thiamine derivatives from the environment. The adaptation of the newly acquired operons to the eukaryotic setting involved a repertoire of mechanisms until now only sparsely documented, namely longer intergenic regions, post-horizontal gene transfer (HGT) gene fusions fostering coordinated expression, gene relocation, and possibly recombination generating mosaic genes. The results provide additional evidence that HGT occurred recurrently in this yeast lineage and was crucial for the reestablishment of lost functions and that similar mechanisms are used across a broad range of eukaryotic microbes to promote adaptation of prokaryotic genes to their new environment.
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28
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Xu H, Liu JJ, Liu Z, Li Y, Jin YS, Zhang J. Synchronization of stochastic expressions drives the clustering of functionally related genes. SCIENCE ADVANCES 2019; 5:eaax6525. [PMID: 31633028 PMCID: PMC6785257 DOI: 10.1126/sciadv.aax6525] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 09/10/2019] [Indexed: 05/18/2023]
Abstract
Functionally related genes tend to be chromosomally clustered in eukaryotic genomes even after the exclusion of tandem duplicates, but the biological significance of this widespread phenomenon is unclear. We propose that stochastic expression fluctuations of neighboring genes resulting from chromatin dynamics are more or less synchronized such that their expression ratio is more stable than that for unlinked genes. Consequently, chromosomal clustering could be advantageous when the expression ratio of the clustered genes needs to stay constant, for example, because of the accumulation of toxic compounds when this ratio is altered. Evidence from manipulative experiments on the yeast GAL cluster, comprising three chromosomally adjacent genes encoding enzymes catalyzing consecutive reactions in galactose catabolism, unequivocally supports this hypothesis and elucidates how disorder in one biological phenomenon-gene expression noise-could prompt the emergence of order in another-genome organization.
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Affiliation(s)
- Haiqing Xu
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jing-Jing Liu
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Zhen Liu
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China
| | - Ying Li
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yong-Su Jin
- Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
- Department of Food Science and Human Nutrition, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
| | - Jianzhi Zhang
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA
- Corresponding author.
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29
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Marcet-Houben M, Gabaldón T. Evolutionary and functional patterns of shared gene neighbourhood in fungi. Nat Microbiol 2019; 4:2383-2392. [PMID: 31527797 DOI: 10.1038/s41564-019-0552-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 07/29/2019] [Indexed: 11/09/2022]
Abstract
Gene clusters comprise genomically co-localized and potentially co-regulated genes that tend to be conserved across species. In eukaryotes, multiple examples of metabolic gene clusters are known, particularly among fungi and plants. However, little is known about how gene clustering patterns vary among taxa or with respect to functional roles. Furthermore, mechanisms of the formation, maintenance and evolution of gene clusters remain unknown. We surveyed 341 fungal genomes to discover gene clusters shared by different species, independently of their functions. We inferred 12,120 cluster families, which comprised roughly one third of the gene space and were enriched in genes associated with diverse cellular functions. Additionally, most clusters did not encode transcription factors, suggesting that they are regulated distally. We used phylogenomics to characterize the evolutionary history of these clusters. We found that most clusters originated once and were transmitted vertically, coupled to differential loss. However, convergent evolution-that is, independent appearance of the same cluster-was more prevalent than anticipated. Finally, horizontal gene transfer of entire clusters was somewhat restricted, with the exception of those associated with secondary metabolism. Altogether, our results provide insights on the evolution of gene clustering as well as a broad catalogue of evolutionarily conserved gene clusters whose function remains to be elucidated.
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Affiliation(s)
- Marina Marcet-Houben
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Barcelona Supercomputing Centre (BSC-CNS), Institute for Research in Biomedicine (IRB), Barcelona, Spain
| | - Toni Gabaldón
- Centre for Genomic Regulation, The Barcelona Institute of Science and Technology, Barcelona, Spain. .,Universitat Pompeu Fabra, Barcelona, Spain. .,ICREA, Barcelona, Spain. .,Barcelona Supercomputing Centre (BSC-CNS), Institute for Research in Biomedicine (IRB), Barcelona, Spain.
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30
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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: 111] [Impact Index Per Article: 22.2] [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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31
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Gao S, Gold SE, Wisecaver JH, Zhang Y, Guo L, Ma LJ, Rokas A, Glenn AE. Genome-wide analysis of Fusarium verticillioides reveals inter-kingdom contribution of horizontal gene transfer to the expansion of metabolism. Fungal Genet Biol 2019; 128:60-73. [DOI: 10.1016/j.fgb.2019.04.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Revised: 03/02/2019] [Accepted: 04/01/2019] [Indexed: 11/30/2022]
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32
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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: 81] [Impact Index Per Article: 16.2] [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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33
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Ayala‐Ruano S, Santander‐Gordón D, Tejera E, Perez‐Castillo Y, Armijos-Jaramillo V. A putative antimicrobial peptide from Hymenoptera in the megaplasmid pSCL4 of Streptomyces clavuligerus ATCC 27064 reveals a singular case of horizontal gene transfer with potential applications. Ecol Evol 2019; 9:2602-2614. [PMID: 30891203 PMCID: PMC6406012 DOI: 10.1002/ece3.4924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Revised: 12/31/2018] [Accepted: 01/02/2019] [Indexed: 11/06/2022] Open
Abstract
Streptomyces clavuligerus is a Gram-positive bacterium that is a high producer of secondary metabolites with industrial applications. The production of antibiotics such as clavulanic acid or cephamycin has been extensively studied in this species; nevertheless, other aspects, such as evolution or ecology, have received less attention. Furthermore, genes that arise from ancient events of lateral transfer have been demonstrated to be implicated in important functions of host species. This approximation discovered relevant genes that genomic analyses overlooked. Thus, we studied the impact of horizontal gene transfer in the S. clavuligerus genome. To perform this task, we applied whole-genome analysis to identify a laterally transferred sequence from different domains. The most relevant result was a putative antimicrobial peptide (AMP) with a clear origin in the Hymenoptera order of insects. Next, we determined that two copies of these genes were present in the megaplasmid pSCL4 but absent in the S. clavuligerus ATCC 27064 chromosome. Additionally, we found that these sequences were exclusive to the ATCC 27064 strain (and so were not present in any other bacteria) and we also verified the expression of the genes using RNAseq data. Next, we used several AMP predictors to validate the original annotation extracted from Hymenoptera sequences and explored the possibility that these proteins had post-translational modifications using peptidase cleavage prediction. We suggest that Hymenoptera AMP-like proteins of S. clavuligerus ATCC 27064 may be useful for both species adaptation and as an antimicrobial molecule with industrial applications.
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Affiliation(s)
- Sebastián Ayala‐Ruano
- Universidad San Francisco de Quito, Colegio de Ciencias Biológicas y Ambientales (COCIBA‐USFQ)QuitoEcuador
| | - Daniela Santander‐Gordón
- Carrera de Ingeniería en Biotecnología, Facultad de Ingeniería y Ciencias AplicadasUniversidad de Las AméricasQuitoEcuador
| | - Eduardo Tejera
- Carrera de Ingeniería en Biotecnología, Facultad de Ingeniería y Ciencias AplicadasUniversidad de Las AméricasQuitoEcuador
- Grupo de Bio‐QuimioinformáticaUniversidad de Las AméricasQuitoEcuador
| | - Yunierkis Perez‐Castillo
- Grupo de Bio‐QuimioinformáticaUniversidad de Las AméricasQuitoEcuador
- Ciencias Físicas y Matemáticas‐Facultad de Formación GeneralUniversidad de Las AméricasQuitoEcuador
| | - Vinicio Armijos-Jaramillo
- Carrera de Ingeniería en Biotecnología, Facultad de Ingeniería y Ciencias AplicadasUniversidad de Las AméricasQuitoEcuador
- Grupo de Bio‐QuimioinformáticaUniversidad de Las AméricasQuitoEcuador
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Kominek J, Doering DT, Opulente DA, Shen XX, Zhou X, DeVirgilio J, Hulfachor AB, Groenewald M, Mcgee MA, Karlen SD, Kurtzman CP, Rokas A, Hittinger CT. Eukaryotic Acquisition of a Bacterial Operon. Cell 2019; 176:1356-1366.e10. [PMID: 30799038 DOI: 10.1016/j.cell.2019.01.034] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 12/20/2018] [Accepted: 01/23/2019] [Indexed: 01/01/2023]
Abstract
Operons are a hallmark of bacterial genomes, where they allow concerted expression of functionally related genes as single polycistronic transcripts. They are rare in eukaryotes, where each gene usually drives expression of its own independent messenger RNAs. Here, we report the horizontal operon transfer of a siderophore biosynthesis pathway from relatives of Escherichia coli into a group of budding yeast taxa. We further show that the co-linearly arranged secondary metabolism genes are expressed, exhibit eukaryotic transcriptional features, and enable the sequestration and uptake of iron. After transfer, several genetic changes occurred during subsequent evolution, including the gain of new transcription start sites that were sometimes within protein-coding sequences, acquisition of polyadenylation sites, structural rearrangements, and integration of eukaryotic genes into the cluster. We conclude that the genes were likely acquired as a unit, modified for eukaryotic gene expression, and maintained by selection to adapt to the highly competitive, iron-limited environment.
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Affiliation(s)
- 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
| | - 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; DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA; Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI 53706, 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
| | - Xing-Xing Shen
- 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, US Department of Agriculture, Peoria, IL 61604, USA
| | - Amanda B 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
| | | | - Mcsean A Mcgee
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Steven D Karlen
- DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI 53706, USA; Department of Biochemistry, 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, US 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, 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; Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, WI 53706, USA.
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35
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Abstract
The concept of the species ‘pan-genome’, the union of ‘core’ conserved genes and all ‘accessory’ non-conserved genes across all strains of a species, was first proposed in prokaryotes to account for intraspecific variability. Species pan-genomes have been extensively studied in prokaryotes, but evidence of species pan-genomes has also been demonstrated in eukaryotes such as plants and fungi. Using a previously published methodology based on sequence homology and conserved microsynteny, in addition to bespoke pipelines, we have investigated the pan-genomes of four model fungal species: Saccharomyces cerevisiae, Candida albicans, Cryptococcus neoformans var. grubii and Aspergillus fumigatus. Between 80 and 90 % of gene models per strain in each of these species are core genes that are highly conserved across all strains of that species, many of which are involved in housekeeping and conserved survival processes. In many of these species, the remaining ‘accessory’ gene models are clustered within subterminal regions and may be involved in pathogenesis and antimicrobial resistance. Analysis of the ancestry of species core and accessory genomes suggests that fungal pan-genomes evolve by strain-level innovations such as gene duplication as opposed to wide-scale horizontal gene transfer. Our findings lend further supporting evidence to the existence of species pan-genomes in eukaryote taxa.
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Affiliation(s)
- Charley G P McCarthy
- 1Genome Evolution Laboratory, Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland.,2Human Health Research Institute, Maynooth University, Maynooth, Co. Kildare, Ireland
| | - David A Fitzpatrick
- 1Genome Evolution Laboratory, Department of Biology, Maynooth University, Maynooth, Co. Kildare, Ireland.,2Human Health Research Institute, Maynooth University, Maynooth, Co. Kildare, Ireland
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36
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Gluck‐Thaler E, Vijayakumar V, Slot JC. Fungal adaptation to plant defences through convergent assembly of metabolic modules. Mol Ecol 2018; 27:5120-5136. [DOI: 10.1111/mec.14943] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2018] [Revised: 10/14/2018] [Accepted: 10/15/2018] [Indexed: 01/08/2023]
Affiliation(s)
- Emile Gluck‐Thaler
- Department of Plant Pathology, College of Food, Agricultural, and Environmental Sciences The Ohio State University Columbus Ohio
| | - Vinod Vijayakumar
- Department of Plant Pathology, College of Food, Agricultural, and Environmental Sciences The Ohio State University Columbus Ohio
| | - Jason C. Slot
- Department of Plant Pathology, College of Food, Agricultural, and Environmental Sciences The Ohio State University Columbus Ohio
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37
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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: 318] [Impact Index Per Article: 53.0] [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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38
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Abstract
In bacteria, more than half of the genes in the genome are organized in operons. In contrast, in eukaryotes, functionally related genes are usually dispersed across the genome. There are, however, numerous examples of functional clusters of nonhomologous genes for metabolic pathways in fungi and plants. Despite superficial similarities with operons (physical clustering, coordinate regulation), these clusters have not usually originated by horizontal gene transfer from bacteria, and (unlike operons) the genes are typically transcribed separately rather than as a single polycistronic message. This clustering phenomenon raises intriguing questions about the origins of clustered metabolic pathways in eukaryotes and the significance of clustering for pathway function. Here we review metabolic gene clusters from fungi and plants, highlight commonalities and differences, and consider how these clusters form and are regulated. We also identify opportunities for future research in the areas of large-scale genomics, synthetic biology, and experimental evolution.
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Affiliation(s)
- Hans-Wilhelm Nützmann
- Department of Metabolic Biology, John Innes Centre, Norwich NR4 7UH, United Kingdom; .,Current affiliation: Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath BA2 7AY, United Kingdom;
| | - Claudio Scazzocchio
- Department of Microbiology, Imperial College, London SW7 2AZ, United Kingdom; .,Institute for Integrative Biology of the Cell, 91190 Gif-sur-Yvette, France
| | - Anne Osbourn
- Department of Metabolic Biology, John Innes Centre, Norwich NR4 7UH, United Kingdom;
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39
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Diament A, Tuller T. Modeling three-dimensional genomic organization in evolution and pathogenesis. Semin Cell Dev Biol 2018; 90:78-93. [PMID: 30030143 DOI: 10.1016/j.semcdb.2018.07.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 07/08/2018] [Indexed: 12/17/2022]
Abstract
The regulation of gene expression is mediated via the complex three-dimensional (3D) conformation of the genetic material and its interactions with various intracellular factors. Various experimental and computational approaches have been developed in recent years for understating the relation between the 3D conformation of the genome and the phenotypes of cells in normal condition and diseases. In this review, we will discuss novel approaches for analyzing and modeling the 3D genomic conformation, focusing on deciphering disease-causing mutations that affect gene expression. We conclude that as this is a very challenging mission, an important direction should involve the comparative analysis of various 3D models from various organisms or cells.
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Affiliation(s)
- Alon Diament
- Dept. of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Tamir Tuller
- Dept. of Biomedical Engineering, Tel Aviv University, Tel Aviv 6997801, Israel; The Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv 6997801, Israel.
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40
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Yang YF, Cao W, Wu S, Qian W. Genetic Interaction Network as an Important Determinant of Gene Order in Genome Evolution. Mol Biol Evol 2018; 34:3254-3266. [PMID: 29029158 PMCID: PMC5850728 DOI: 10.1093/molbev/msx264] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Although it is generally accepted that eukaryotic gene order is not random, the basic principles of gene arrangement on a chromosome remain poorly understood. Here, we extended existing population genetics theories that were based on two-locus models and proposed a hypothesis that genetic interaction networks drive the evolution of eukaryotic gene order. We predicted that genes with positive epistasis would move toward each other in evolution, during which a negative correlation between epistasis and gene distance formed. We tested and confirmed our prediction with computational simulations and empirical data analyses. Importantly, we demonstrated that gene order in the budding yeast could be successfully predicted from the genetic interaction network. Taken together, our study reveals the role of the genetic interaction network in the evolution of gene order, extends our understanding of the encoding principles in genomes, and potentially offers new strategies to improve synthetic biology.
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Affiliation(s)
- Yu-Fei Yang
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Wenqing Cao
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Shaohuan Wu
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Wenfeng Qian
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,Key Laboratory of Genetic Network Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.,University of Chinese Academy of Sciences, Beijing, China
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41
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Viigand K, Põšnograjeva K, Visnapuu T, Alamäe T. Genome Mining of Non-Conventional Yeasts: Search and Analysis of MAL Clusters and Proteins. Genes (Basel) 2018; 9:E354. [PMID: 30013016 PMCID: PMC6070925 DOI: 10.3390/genes9070354] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 07/09/2018] [Accepted: 07/12/2018] [Indexed: 12/13/2022] Open
Abstract
Genomic clustering of functionally related genes is rare in yeasts and other eukaryotes with only few examples available. Here, we summarize our data on a nontelomeric MAL cluster of a non-conventional methylotrophic yeast Ogataea (Hansenula) polymorpha containing genes for α-glucosidase MAL1, α-glucoside permease MAL2 and two hypothetical transcriptional activators. Using genome mining, we detected MAL clusters of varied number, position and composition in many other maltose-assimilating non-conventional yeasts from different phylogenetic groups. The highest number of MAL clusters was detected in Lipomyces starkeyi while no MAL clusters were found in Schizosaccharomyces pombe and Blastobotrys adeninivorans. Phylograms of α-glucosidases and α-glucoside transporters of yeasts agreed with phylogenesis of the respective yeast species. Substrate specificity of unstudied α-glucosidases was predicted from protein sequence analysis. Specific activities of Scheffersomycesstipitis α-glucosidases MAL7, MAL8, and MAL9 heterologously expressed in Escherichia coli confirmed the correctness of the prediction-these proteins were verified promiscuous maltase-isomaltases. α-Glucosidases of earlier diverged yeasts L. starkeyi, B. adeninivorans and S. pombe showed sequence relatedness with α-glucosidases of filamentous fungi and bacilli.
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Affiliation(s)
- Katrin Viigand
- Department of Genetics, Institute of Molecular and Cell Biology, University of Tartu, Riia 23, 51010 Tartu, Estonia.
| | - Kristina Põšnograjeva
- Department of Genetics, Institute of Molecular and Cell Biology, University of Tartu, Riia 23, 51010 Tartu, Estonia.
| | - Triinu Visnapuu
- Department of Genetics, Institute of Molecular and Cell Biology, University of Tartu, Riia 23, 51010 Tartu, Estonia.
| | - Tiina Alamäe
- Department of Genetics, Institute of Molecular and Cell Biology, University of Tartu, Riia 23, 51010 Tartu, Estonia.
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42
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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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43
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Gonçalves C, Wisecaver JH, Kominek J, Oom MS, Leandro MJ, Shen XX, Opulente DA, Zhou X, Peris D, Kurtzman CP, Hittinger CT, Rokas A, Gonçalves P. Evidence for loss and reacquisition of alcoholic fermentation in a fructophilic yeast lineage. eLife 2018; 7:33034. [PMID: 29648535 PMCID: PMC5897096 DOI: 10.7554/elife.33034] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Accepted: 02/27/2018] [Indexed: 11/13/2022] Open
Abstract
Fructophily is a rare trait that consists of the preference for fructose over other carbon sources. Here, we show that in a yeast lineage (the Wickerhamiella/Starmerella, W/S clade) comprised of fructophilic species thriving in the high-sugar floral niche, the acquisition of fructophily is concurrent with a wider remodeling of central carbon metabolism. Coupling comparative genomics with biochemical and genetic approaches, we gathered ample evidence for the loss of alcoholic fermentation in an ancestor of the W/S clade and subsequent reinstatement through either horizontal acquisition of homologous bacterial genes or modification of a pre-existing yeast gene. An enzyme required for sucrose assimilation was also acquired from bacteria, suggesting that the genetic novelties identified in the W/S clade may be related to adaptation to the high-sugar environment. This work shows how even central carbon metabolism can be remodeled by a surge of HGT events. Cells build their components, such as the molecular machinery that helps them obtain energy from their environment, by following the instructions contained in genes. This genetic information is usually transferred from parents to offspring. Over the course of several generations, genes can accumulate small changes and the molecules they code for can acquire new roles: yet, this process is normally slow. However, certain organisms can also obtain completely new genes by ‘stealing’ them from other species. For example, yeasts, such as the ones used to make bread and beer, can take genes from nearby bacteria. This ‘horizontal gene transfer’ helps organisms to rapidly gain new characteristics, which is particularly useful if the environment changes quickly. One way that yeasts get the energy they need is by breaking down sugars through a process called alcoholic fermentation. To do this, most yeast species prefer to use a sugar called glucose, but a small group of ‘fructophilic’ species instead favors a type of sugar known as fructose. Scientists do not know exactly how fructophilic yeasts came to be, but there is some evidence horizontal gene transfers may have been involved in the process. Now, Gonçalves et al. have compared the genetic material of fructophilic yeasts with that of other groups of yeasts . Comparing genetic material helps scientists identify similarities and differences between species, and gives clues about why specific genetic features first evolved. The experiments show that, early in their history, fructophilic yeasts lost the genes that allowed them to do alcoholic fermentation, probably since they could obtain energy in a different way. However, at a later point in time, these yeasts had to adapt to survive in flower nectar, an environment rich in sugar. They then favored fructose as their source of energy, possibly because this sugar can compensate more effectively for the absence of alcoholic fermentation. Later, the yeasts acquired a gene from nearby bacteria, which allowed them to do alcoholic fermentation again: this improved their ability to use the other sugars present in flower nectars. When obtaining energy, yeasts and other organisms produce substances that are relevant to industry. Studying natural processes of evolution can help scientists understand how organisms can change the way they get their energy and adapt to new challenges. In turn, this helps to engineer yeasts into ‘cell factories’ that produce valuable chemicals in environmentally friendly and cost-effective ways.
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Affiliation(s)
- Carla Gonçalves
- UCIBIO-REQUIMTE, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
| | - Jennifer H Wisecaver
- Department of Biological Sciences, Vanderbilt University, Nashville, United States.,Department of Biochemistry, Purdue Center for Plant Biology, Purdue University, West Lafayette, United States
| | - Jacek Kominek
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States.,J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, United States.,Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, United States
| | - Madalena Salema Oom
- UCIBIO-REQUIMTE, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.,Centro de Investigação Interdisciplinar Egas Moniz, Instituto Universitário Egas Moniz, Caparica, Portugal
| | - Maria José Leandro
- Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Av. da República, Oeiras, Portugal.,LNEG - Laboratório Nacional de Energia e Geologia, Unidade de Bioenergia (UB), Lisboa, Portugal
| | - Xing-Xing Shen
- Department of Biological Sciences, Vanderbilt University, Nashville, United States
| | - Dana A Opulente
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States.,J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, United States.,Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, United States
| | - Xiaofan Zhou
- Integrative Microbiology Research Centre, South China Agricultural University, Guangzhou, China.,Guangdong Province Key Laboratory of Microbial Signals and Disease Control, South China Agricultural University, Guangzhou, China
| | - David Peris
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States.,J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, United States.,Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, United States.,Department of Food Biotechnology, Institute of Agrochemistry and Food Technology (IATA), CSIC, Valencia, Spain
| | - 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, United States
| | - Chris Todd Hittinger
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States.,DOE Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, United States.,J. F. Crow Institute for the Study of Evolution, University of Wisconsin-Madison, Madison, United States.,Wisconsin Energy Institute, University of Wisconsin-Madison, Madison, United States
| | - Antonis Rokas
- Department of Biological Sciences, Vanderbilt University, Nashville, United States
| | - Paula Gonçalves
- UCIBIO-REQUIMTE, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
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44
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Schuler D, Höll C, Grün N, Ulrich J, Dillner B, Klebl F, Ammon A, Voll LM, Kämper J. Galactose metabolism and toxicity in Ustilago maydis. Fungal Genet Biol 2018; 114:42-52. [PMID: 29580862 DOI: 10.1016/j.fgb.2018.03.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 03/07/2018] [Accepted: 03/22/2018] [Indexed: 10/17/2022]
Abstract
In most organisms, galactose is metabolized via the Leloir pathway, which is conserved from bacteria to mammals. Utilization of galactose requires a close interplay of the metabolic enzymes, as misregulation or malfunction of individual components can lead to the accumulation of toxic intermediate compounds. For the phytopathogenic basidiomycete Ustilago maydis, galactose is toxic for wildtype strains, i.e. leads to growth repression despite the presence of favorable carbon sources as sucrose. The galactose sensitivity can be relieved by two independent modifications: (1) by disruption of Hxt1, which we identify as the major transporter for galactose, and (2) by a point mutation in the gene encoding the galactokinase Gal1, the first enzyme of the Leloir pathway. The mutation in gal1(Y67F) leads to reduced enzymatic activity of Gal1 and thus may limit the formation of putatively toxic galactose-1-phosphate. However, systematic deletions and double deletions of different genes involved in galactose metabolism point to a minor role of galactose-1-phosphate in galactose toxicity. Our results show that molecular triggers for galactose toxicity in U. maydis differ from yeast and mammals.
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Affiliation(s)
- David Schuler
- Karlsruhe Institute of Technology, Institute for Applied Biosciences, Department of Genetics, Fritz Haber Weg 4, 76131 Karlsruhe, Germany
| | - Christina Höll
- Karlsruhe Institute of Technology, Institute for Applied Biosciences, Department of Genetics, Fritz Haber Weg 4, 76131 Karlsruhe, Germany
| | - Nathalie Grün
- Karlsruhe Institute of Technology, Institute for Applied Biosciences, Department of Genetics, Fritz Haber Weg 4, 76131 Karlsruhe, Germany
| | - Jonas Ulrich
- Karlsruhe Institute of Technology, Institute for Applied Biosciences, Department of Genetics, Fritz Haber Weg 4, 76131 Karlsruhe, Germany
| | - Bastian Dillner
- Karlsruhe Institute of Technology, Institute for Applied Biosciences, Department of Genetics, Fritz Haber Weg 4, 76131 Karlsruhe, Germany
| | - Franz Klebl
- FAU Erlangen-Nuremberg, Department of Biology, Molecular Plant Physiology, Staudtstrasse 5, 91058 Erlangen, Germany
| | - Alexandra Ammon
- Philips-University of Marburg, Department of Biology, Plant Physiology and Photo Biology, Karl von Frisch Strasse 8, 35043 Marburg, Germany
| | - Lars M Voll
- Philips-University of Marburg, Department of Biology, Plant Physiology and Photo Biology, Karl von Frisch Strasse 8, 35043 Marburg, Germany
| | - Jörg Kämper
- Karlsruhe Institute of Technology, Institute for Applied Biosciences, Department of Genetics, Fritz Haber Weg 4, 76131 Karlsruhe, Germany.
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45
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She R, Jarosz DF. Mapping Causal Variants with Single-Nucleotide Resolution Reveals Biochemical Drivers of Phenotypic Change. Cell 2018; 172:478-490.e15. [PMID: 29373829 PMCID: PMC5788306 DOI: 10.1016/j.cell.2017.12.015] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 10/21/2017] [Accepted: 12/06/2017] [Indexed: 12/13/2022]
Abstract
Understanding the sequence determinants that give rise to diversity among individuals and species is the central challenge of genetics. However, despite ever greater numbers of sequenced genomes, most genome-wide association studies cannot distinguish causal variants from linked passenger mutations spanning many genes. We report that this inherent challenge can be overcome in model organisms. By pushing the advantages of inbred crossing to its practical limit in Saccharomyces cerevisiae, we improved the statistical resolution of linkage analysis to single nucleotides. This "super-resolution" approach allowed us to map 370 causal variants across 26 quantitative traits. Missense, synonymous, and cis-regulatory mutations collectively gave rise to phenotypic diversity, providing mechanistic insight into the basis of evolutionary divergence. Our data also systematically unmasked complex genetic architectures, revealing that multiple closely linked driver mutations frequently act on the same quantitative trait. Single-nucleotide mapping thus complements traditional deletion and overexpression screening paradigms and opens new frontiers in quantitative genetics.
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Affiliation(s)
- Richard She
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel F Jarosz
- Department of Chemical and Systems Biology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Developmental Biology, Stanford University School of Medicine, Stanford, CA 94305, USA.
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46
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Kulcsár L, Flipphi M, Jónás Á, Sándor E, Fekete E, Karaffa L. Identification of a mutarotase gene involved in D-galactose utilization in Aspergillus nidulans. FEMS Microbiol Lett 2017; 364:4222790. [PMID: 29029189 DOI: 10.1093/femsle/fnx202] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 09/22/2017] [Indexed: 11/14/2022] Open
Abstract
Aldose 1-epimerases or mutarotases (EC 5.1.3.3) are catalyzing the interconversion of α- and β-anomers of hemiacetals of aldose sugars such as D-glucose and D-galactose, and are presumed to play an auxiliary role in carbohydrate metabolism as mutarotation occurs spontaneously in watery solutions. The first step in the Leloir pathway of D-galactose breakdown is preceded by accelerated conversion of β-D-galactopyranose into the α-anomer, the substrate of the anomer-specific D-galactose 1-kinase. Here, we identified two putative aldose-1-epimerase genes (galmA and galmB) in the model organism Aspergillus nidulans, and characterized them upon generation of single- and double deletion mutant strains, as well as overexpressing mutants carrying multiple copies of either. Assaying cell-free extracts from the galmB single- and galm double mutants, we observed that the mutarotation hardly exceeded spontaneous anomer conversion, while galmB multicopy strains displayed higher activities than the wild type, increasing with the copy number. When grown on D-galactose in submerged cultures, biomass formation and D-galactose uptake rates in mutants lacking galmB were considerably reduced. None such effects were observed studying galmA deletion mutants, which consistently behave like the wild type. We conclude that GalmB is the physiologically relevant mutarotase for the utilization of D-galactose in A. nidulans.
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Affiliation(s)
- László Kulcsár
- Department of Biochemical Engineering, Faculty of Science and Technology, University of Debrecen, H-4032, Egyetem tér 1., Debrecen, Hungary
| | - Michel Flipphi
- Department of Biochemical Engineering, Faculty of Science and Technology, University of Debrecen, H-4032, Egyetem tér 1., Debrecen, Hungary
| | - Ágota Jónás
- Department of Biochemical Engineering, Faculty of Science and Technology, University of Debrecen, H-4032, Egyetem tér 1., Debrecen, Hungary
| | - Erzsébet Sándor
- Institute of Food Science, Faculty of Agricultural and Food Science and Environmental Management, University of Debrecen, H-4032, Böszörményi út 138., Debrecen, Hungary
| | - Erzsébet Fekete
- Department of Biochemical Engineering, Faculty of Science and Technology, University of Debrecen, H-4032, Egyetem tér 1., Debrecen, Hungary
| | - Levente Karaffa
- Department of Biochemical Engineering, Faculty of Science and Technology, University of Debrecen, H-4032, Egyetem tér 1., Debrecen, Hungary
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47
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Abstract
Metabolic gene clusters (MGCs) have provided some of the earliest glimpses at the biochemical machinery of yeast and filamentous fungi. MGCs encode diverse genetic mechanisms for nutrient acquisition and the synthesis/degradation of essential and adaptive metabolites. Beyond encoding the enzymes performing these discrete anabolic or catabolic processes, MGCs may encode a range of mechanisms that enable their persistence as genetic consortia; these include enzymatic mechanisms to protect their host fungi from their inherent toxicities, and integrated regulatory machinery. This modular, self-contained nature of MGCs contributes to the metabolic and ecological adaptability of fungi. The phylogenetic and ecological patterns of MGC distribution reflect the broad diversity of fungal life cycles and nutritional modes. While the origins of most gene clusters are enigmatic, MGCs are thought to be born into a genome through gene duplication, relocation, or horizontal transfer, and analyzing the death and decay of gene clusters provides clues about the mechanisms selecting for their assembly. Gene clustering may provide inherent fitness advantages through metabolic efficiency and specialization, but experimental evidence for this is currently limited. The identification and characterization of gene clusters will continue to be powerful tools for elucidating fungal metabolism as well as understanding the physiology and ecology of fungi.
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Affiliation(s)
- Jason C Slot
- The Ohio State University, Columbus, OH, United States.
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48
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Xia Y, Fei B, He J, Zhou M, Zhang D, Pan L, Li S, Liang Y, Wang L, Zhu J, Li P, Zheng A. Transcriptome analysis reveals the host selection fitness mechanisms of the Rhizoctonia solani AG1IA pathogen. Sci Rep 2017; 7:10120. [PMID: 28860554 PMCID: PMC5579035 DOI: 10.1038/s41598-017-10804-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2017] [Accepted: 08/15/2017] [Indexed: 11/12/2022] Open
Abstract
Rhizoctonia solani AG1IA is a major generalist pathogen that causes sheath blight. Its genome, which was the first to be sequenced from the Rhizoctonia genus, may serve as a model for studying pathogenic mechanisms. To explore the pathogen-host fitness mechanism of sheath-blight fungus, a comprehensive comparative transcriptome ecotype analysis of R. solani AG1IA isolated from rice, soybean and corn during infection was performed. Special characteristics in gene expression, gene ontology terms and expression of pathogenesis-associated genes, including genes encoding secreted proteins, candidate effectors, hydrolases, and proteins involved in secondary metabolite production and the MAPK pathway, were revealed. Furthermore, as an important means of pathogenic modulation, diverse alternative splicing of key pathogenic genes in Rhizoctonia solani AG1IA during infections of the abovementioned hosts was uncovered for the first time. These important findings of key factors in the pathogenicity of R. solani AG1IA ecotypes during infection of various hosts explain host preference and provide novel insights into the pathogenic mechanisms and host-pathogen selection. Furthermore, they provide information on the fitness of Rhizoctonia, a severe pathogen with a wide host range.
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Affiliation(s)
- Yuan Xia
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Sichuan Crop Major Diseases, Sichuan Agricultural University, Chengdu, 611130, China
| | - Binghong Fei
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Sichuan Crop Major Diseases, Sichuan Agricultural University, Chengdu, 611130, China
| | - Jiayu He
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Sichuan Crop Major Diseases, Sichuan Agricultural University, Chengdu, 611130, China
| | - Menglin Zhou
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Sichuan Crop Major Diseases, Sichuan Agricultural University, Chengdu, 611130, China
| | - Danhua Zhang
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Sichuan Crop Major Diseases, Sichuan Agricultural University, Chengdu, 611130, China
| | - Linxiu Pan
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Sichuan Crop Major Diseases, Sichuan Agricultural University, Chengdu, 611130, China
| | - Shuangcheng Li
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Southwest Corp Gene Resource and Genetic Improvement of Ministry of Education, Sichuan Agricultural University, Ya'an, 625014, China
| | - Yueyang Liang
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Southwest Corp Gene Resource and Genetic Improvement of Ministry of Education, Sichuan Agricultural University, Ya'an, 625014, China
| | - Lingxia Wang
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Southwest Corp Gene Resource and Genetic Improvement of Ministry of Education, Sichuan Agricultural University, Ya'an, 625014, China
| | - Jianqing Zhu
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Southwest Corp Gene Resource and Genetic Improvement of Ministry of Education, Sichuan Agricultural University, Ya'an, 625014, China
| | - Ping Li
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China
- Key Laboratory of Southwest Corp Gene Resource and Genetic Improvement of Ministry of Education, Sichuan Agricultural University, Ya'an, 625014, China
| | - Aiping Zheng
- Rice Research Institute, Sichuan Agricultural University, Chengdu, 611130, China.
- Key Laboratory of Sichuan Crop Major Diseases, Sichuan Agricultural University, Chengdu, 611130, China.
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49
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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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50
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Druzhinina IS, Kubicek EM, Kubicek CP. Several steps of lateral gene transfer followed by events of 'birth-and-death' evolution shaped a fungal sorbicillinoid biosynthetic gene cluster. BMC Evol Biol 2016; 16:269. [PMID: 28010735 PMCID: PMC5182515 DOI: 10.1186/s12862-016-0834-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 11/21/2016] [Indexed: 11/19/2022] Open
Abstract
Background Sorbicillinoids are a family of complex cyclic polyketides produced by only a small number of distantly related ascomycete fungi such as Trichoderma (Sordariomycetes) and Penicillium (Eurotiomycetes). In T. reesei, they are synthesized by a gene cluster consisting of eight genes including two polyketide synthases (PKS). To reconstruct the evolutionary origin of this gene cluster, we examined the occurrence of these eight genes in ascomycetes. Results A cluster comprising at least six of them was only found in Hypocreales (Acremonium chrysogenum, Ustilaginoidea virens, Trichoderma species from section Longibrachiatum) and in Penicillium rubens (Eurotiales). In addition, Colletotrichum graminicola contained the two pks (sor1 and sor2), but not the other sor genes. A. chrysogenum was the evolutionary eldest species in which sor1, sor2, sor3, sor4 and sor6 were present. Sor5 was gained by lateral gene transfer (LGT) from P. rubens. In the younger Hypocreales (U. virens, Trichoderma spp.), the cluster evolved by vertical transfer, but sor2 was lost and regained by LGT from C. graminicola. SorB (=sor2) and sorD (=sor4) were symplesiomorphic in P. rubens, whereas sorA, sorC and sorF were obtained by LGT from A. chrysogenum, and sorE by LGT from Pestalotiopsis fici (Xylariales). The sorbicillinoid gene cluster in Trichoderma section Longibrachiatum is under strong purifying selection. The T. reesei sor genes are expressed during fast vegetative growth, during antagonism of other fungi and regulated by the secondary metabolism regulator LAE1. Conclusions Our findings pinpoint the evolution of the fungal sorbicillinoid biosynthesis gene cluster. The core cluster arose in early Hypocreales, and was complemented by LGT. During further speciation in the Hypocreales, it became subject to birth and death evolution in selected lineages. In P. rubrens (Eurotiales), two cluster genes were symplesiomorphic, and the whole cluster formed by LGT from at least two different fungal donors. Electronic supplementary material The online version of this article (doi:10.1186/s12862-016-0834-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Irina S Druzhinina
- Microbiology Group, Research Area Biochemical Technology, Institute of Chemical Engineering, TU Wien, Vienna, Austria
| | - Eva M Kubicek
- Microbiology Group, Research Area Biochemical Technology, Institute of Chemical Engineering, TU Wien, Vienna, Austria.,, Present address: Steinschötelgasse 7, 1100, Wien, Austria
| | - Christian P Kubicek
- Microbiology Group, Research Area Biochemical Technology, Institute of Chemical Engineering, TU Wien, Vienna, Austria. .,, Present address: Steinschötelgasse 7, 1100, Wien, Austria.
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