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Garello M, Piombo E, Buonsenso F, Prencipe S, Valente S, Meloni GR, Marcet-Houben M, Gabaldón T, Spadaro D. Several secondary metabolite gene clusters in the genomes of ten Penicillium spp. raise the risk of multiple mycotoxin occurrence in chestnuts. Food Microbiol 2024; 122:104532. [PMID: 38839238 DOI: 10.1016/j.fm.2024.104532] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 03/14/2024] [Accepted: 04/02/2024] [Indexed: 06/07/2024]
Abstract
Penicillium spp. produce a great variety of secondary metabolites, including several mycotoxins, on food substrates. Chestnuts represent a favorable substrate for Penicillium spp. development. In this study, the genomes of ten Penicillium species, virulent on chestnuts, were sequenced and annotated: P. bialowiezense. P. pancosmium, P. manginii, P. discolor, P. crustosum, P. palitans, P. viridicatum, P. glandicola, P. taurinense and P. terrarumae. Assembly size ranges from 27.5 to 36.8 Mb and the number of encoded genes ranges from 9,867 to 12,520. The total number of predicted biosynthetic gene clusters (BGCs) in the ten species is 551. The most represented families of BGCs are non ribosomal peptide synthase (191) and polyketide synthase (175), followed by terpene synthases (87). Genome-wide collections of gene phylogenies (phylomes) were reconstructed for each of the newly sequenced Penicillium species allowing for the prediction of orthologous relationships among our species, as well as other 20 annotated Penicillium species available in the public domain. We investigated in silico the presence of BGCs for 10 secondary metabolites, including 5 mycotoxins, whose production was validated in vivo through chemical analyses. Among the clusters present in this set of species we found andrastin A and its related cluster atlantinone A, mycophenolic acid, patulin, penitrem A and the cluster responsible for the synthesis of roquefortine C/glandicoline A/glandicoline B/meleagrin. We confirmed the presence of these clusters in several of the Penicillium species conforming our dataset and verified their capacity to synthesize them in a chestnut-based medium with chemical analysis. Interestingly, we identified mycotoxin clusters in some species for the first time, such as the andrastin A cluster in P. flavigenum and P. taurinense, and the roquefortine C cluster in P. nalgiovense and P. taurinense. Chestnuts proved to be an optimal substrate for species of Penicillium with different mycotoxigenic potential, opening the door to risks related to the occurrence of multiple mycotoxins in the same food matrix.
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Affiliation(s)
- Marco Garello
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Largo Braccini 2, 10095, Grugliasco, TO, Italy; AGROINNOVA - Interdepartmental Centre for the Innovation in the Agro-Environmental Sector, University of Torino, Largo Braccini 2, 10095, Grugliasco, TO, Italy
| | - Edoardo Piombo
- Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Almas Allé 5, 75651, Uppsala, Sweden
| | - Fabio Buonsenso
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Largo Braccini 2, 10095, Grugliasco, TO, Italy; AGROINNOVA - Interdepartmental Centre for the Innovation in the Agro-Environmental Sector, University of Torino, Largo Braccini 2, 10095, Grugliasco, TO, Italy
| | - Simona Prencipe
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Largo Braccini 2, 10095, Grugliasco, TO, Italy
| | - Silvia Valente
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Largo Braccini 2, 10095, Grugliasco, TO, Italy; AGROINNOVA - Interdepartmental Centre for the Innovation in the Agro-Environmental Sector, University of Torino, Largo Braccini 2, 10095, Grugliasco, TO, Italy
| | - Giovanna Roberta Meloni
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Largo Braccini 2, 10095, Grugliasco, TO, Italy; AGROINNOVA - Interdepartmental Centre for the Innovation in the Agro-Environmental Sector, University of Torino, Largo Braccini 2, 10095, Grugliasco, TO, Italy
| | - Marina Marcet-Houben
- Barcelona Supercomputing Centre (BSC-CNS), Plaça Eusebi Güell, 1-3, 08034, Barcelona, Spain; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Toni Gabaldón
- Barcelona Supercomputing Centre (BSC-CNS), Plaça Eusebi Güell, 1-3, 08034, Barcelona, Spain; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain; CIBER de Enfermedades Infecciosas, Instituto de Salud Carlos III, Madrid, Spain.
| | - Davide Spadaro
- Department of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, Largo Braccini 2, 10095, Grugliasco, TO, Italy; AGROINNOVA - Interdepartmental Centre for the Innovation in the Agro-Environmental Sector, University of Torino, Largo Braccini 2, 10095, Grugliasco, TO, Italy.
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Julca I, Mutwil-Anderwald D, Manoj V, Khan Z, Lai SK, Yang LK, Beh IT, Dziekan J, Lim YP, Lim SK, Low YW, Lam YI, Tjia S, Mu Y, Tan QW, Nuc P, Choo LM, Khew G, Shining L, Kam A, Tam JP, Bozdech Z, Schmidt M, Usadel B, Kanagasundaram Y, Alseekh S, Fernie A, Li HY, Mutwil M. Genomic, transcriptomic, and metabolomic analysis of Oldenlandia corymbosa reveals the biosynthesis and mode of action of anti-cancer metabolites. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2023. [PMID: 36807520 DOI: 10.1111/jipb.13469] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 02/18/2023] [Indexed: 06/18/2023]
Abstract
Plants accumulate a vast array of secondary metabolites, which constitute a natural resource for pharmaceuticals. Oldenlandia corymbosa belongs to the Rubiaceae family, and has been used in traditional medicine to treat different diseases, including cancer. However, the active metabolites of the plant, their biosynthetic pathway and mode of action in cancer are unknown. To fill these gaps, we exposed this plant to eight different stress conditions and combined different omics data capturing gene expression, metabolic profiles, and anti-cancer activity. Our results show that O. corymbosa extracts are active against breast cancer cell lines and that ursolic acid is responsible for this activity. Moreover, we assembled a high-quality genome and uncovered two genes involved in the biosynthesis of ursolic acid. Finally, we also revealed that ursolic acid causes mitotic catastrophe in cancer cells and identified three high-confidence protein binding targets by Cellular Thermal Shift Assay (CETSA) and reverse docking. Altogether, these results constitute a valuable resource to further characterize the biosynthesis of active metabolites in the Oldenlandia group, while the mode of action of ursolic acid will allow us to further develop this valuable compound.
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Affiliation(s)
- Irene Julca
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | | | - Vaishnervi Manoj
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Zahra Khan
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Soak Kuan Lai
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Lay K Yang
- Shared Analytics, Singapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), Singapore, 138671, Singapore
| | - Ing T Beh
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Jerzy Dziekan
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Yoon P Lim
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore
| | - Shen K Lim
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore
| | - Yee W Low
- Singapore Botanic Gardens, Singapore, 259569, Singapore
| | - Yuen I Lam
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Seth Tjia
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Yuguang Mu
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Qiao W Tan
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Przemyslaw Nuc
- Department of Gene Expression, Faculty of Biology, Institute of Molecular Biology and Biotechnology, Adam Mickiewicz University, Poznan, 61-614, Poland
| | - Le M Choo
- Singapore Botanic Gardens, Singapore, 259569, Singapore
| | - Gillian Khew
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
- Singapore Botanic Gardens, Singapore, 259569, Singapore
| | - Loo Shining
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Antony Kam
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - James P Tam
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Zbynek Bozdech
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | | | - Bjoern Usadel
- IBG-4 Bioinformatics, Forschungszentrum Jülich, Jülich, 52428, Germany
| | - Yoganathan Kanagasundaram
- Shared Analytics, Singapore Institute of Food and Biotechnology Innovation (SIFBI), Agency for Science, Technology and Research (A*STAR), Singapore, 138671, Singapore
| | - Saleh Alseekh
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm, 14476, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, 4000, Bulgaria
| | - Alisdair Fernie
- Max-Planck-Institut für Molekulare Pflanzenphysiologie, Potsdam-Golm, 14476, Germany
- Center of Plant Systems Biology and Biotechnology, Plovdiv, 4000, Bulgaria
| | - Hoi Y Li
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
| | - Marek Mutwil
- School of Biological Sciences, Nanyang Technological University, Singapore, 639798, Singapore
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3
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Lozano-Fernandez J. A Practical Guide to Design and Assess a Phylogenomic Study. Genome Biol Evol 2022; 14:evac129. [PMID: 35946263 PMCID: PMC9452790 DOI: 10.1093/gbe/evac129] [Citation(s) in RCA: 8] [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: 08/03/2022] [Indexed: 11/13/2022] Open
Abstract
Over the last decade, molecular systematics has undergone a change of paradigm as high-throughput sequencing now makes it possible to reconstruct evolutionary relationships using genome-scale datasets. The advent of "big data" molecular phylogenetics provided a battery of new tools for biologists but simultaneously brought new methodological challenges. The increase in analytical complexity comes at the price of highly specific training in computational biology and molecular phylogenetics, resulting very often in a polarized accumulation of knowledge (technical on one side and biological on the other). Interpreting the robustness of genome-scale phylogenetic studies is not straightforward, particularly as new methodological developments have consistently shown that the general belief of "more genes, more robustness" often does not apply, and because there is a range of systematic errors that plague phylogenomic investigations. This is particularly problematic because phylogenomic studies are highly heterogeneous in their methodology, and best practices are often not clearly defined. The main aim of this article is to present what I consider as the ten most important points to take into consideration when planning a well-thought-out phylogenomic study and while evaluating the quality of published papers. The goal is to provide a practical step-by-step guide that can be easily followed by nonexperts and phylogenomic novices in order to assess the technical robustness of phylogenomic studies or improve the experimental design of a project.
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Affiliation(s)
- Jesus Lozano-Fernandez
- Department of Genetics, Microbiology and Statistics, Biodiversity Research Institute (IRBio), University of Barcelona, Avd. Diagonal 643, 08028 Barcelona, Spain
- Institute of Evolutionary Biology (CSIC – Universitat Pompeu Fabra), Passeig marítim de la Barcelona 37-49, 08003 Barcelona, Spain
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4
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Foley S, Vlasova A, Marcet-Houben M, Gabaldón T, Hinman VF. Evolutionary analyses of genes in Echinodermata offer insights towards the origin of metazoan phyla. Genomics 2022; 114:110431. [PMID: 35835427 PMCID: PMC9552553 DOI: 10.1016/j.ygeno.2022.110431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 05/10/2022] [Accepted: 07/06/2022] [Indexed: 11/24/2022]
Abstract
Despite recent studies discussing the evolutionary impacts of gene duplications and losses among metazoans, the genomic basis for the evolution of phyla remains enigmatic. Here, we employ phylogenomic approaches to search for orthologous genes without known functions among echinoderms, and subsequently use them to guide the identification of their homologs across other metazoans. Our final set of 14 genes was obtained via a suite of homology prediction tools, gene expression data, gene ontology, and generating the Strongylocentrotus purpuratus phylome. The gene set was subjected to selection pressure analyses, which indicated that they are highly conserved and under negative selection. Their presence across broad taxonomic depths suggests that genes required to form a phylum are ancestral to that phylum. Therefore, rather than de novo gene genesis, we posit that evolutionary forces such as selection on existing genomic elements over large timescales may drive divergence and contribute to the emergence of phyla.
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Affiliation(s)
- Saoirse Foley
- Department of Biological Sciences, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA; Echinobase #6-46, Mellon Institute, 4400 Fifth Ave, Pittsburgh, PA 15213, USA.
| | - Anna Vlasova
- Barcelona Supercomputing Centre (BSC-CNS), Jordi Girona, 29, 08034 Barcelona, Spain; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Marina Marcet-Houben
- Barcelona Supercomputing Centre (BSC-CNS), Jordi Girona, 29, 08034 Barcelona, Spain; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain
| | - Toni Gabaldón
- Barcelona Supercomputing Centre (BSC-CNS), Jordi Girona, 29, 08034 Barcelona, Spain; Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Baldiri Reixac, 10, 08028 Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Veronica F Hinman
- Department of Biological Sciences, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA 15213, USA; Echinobase #6-46, Mellon Institute, 4400 Fifth Ave, Pittsburgh, PA 15213, USA
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5
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Vázquez-Franco N, Gutiérrez-Escobedo G, Juárez-Reyes A, Orta-Zavalza E, Castaño I, De Las Peñas A. Candida glabrata Hst1-Rfm1-Sum1 complex evolved to control virulence-related genes. Fungal Genet Biol 2021; 159:103656. [PMID: 34974188 DOI: 10.1016/j.fgb.2021.103656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 12/25/2021] [Accepted: 12/27/2021] [Indexed: 11/15/2022]
Abstract
C. glabrata is an opportunistic fungal pathogen and the second most common cause of opportunistic fungal infections in humans, that has evolved virulence factors to become a successful pathogen: strong resistance to oxidative stress, capable to adhere and form biofilms in human epithelial cells as well as to abiotic surfaces and high resistance to xenobiotics. Hst1 (a NAD+-dependent histone deacetylase), Sum1 (putative DNA binding protein) and Rfm1 (connector protein) form a complex (HRS-C) and control the resistance to oxidative stress, to xenobiotics (the antifungal fluconazole), and adherence to epithelial cells. Hst1 is functionally conserved within the Saccharomycetaceae family, Rfm1 shows a close phylogenetic relation within the Saccharomycetaceae family while Sum1 displays a distant phylogenetic relation with members of the family and is not conserved functionally. CDR1 encodes for an ABC transporter (resistance to fluconazole) negatively controlled by HRS-C, for which its binding site is located within 223 bp upstream from the ATG of CDR1. The absence of Hst1 and Sum1 renders the cells hyper-adherent, possibly due to the overexpression of AED1, EPA1, EPA22 and EPA6, all encoding for adhesins. Finally, in a neutrophil survival assay, HST1 and SUM1, are not required for survival. We propose that Sum1 in the HRS-C diverged functionally to control a set of genes implicated in virulence: adherence, resistance to xenobiotics and oxidative stress.
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Affiliation(s)
- Norma Vázquez-Franco
- IPICYT, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José, #2055, Col. Lomas 4ª Sección, San Luis Potosí, San Luis Potosí 78216, Mexico
| | - Guadalupe Gutiérrez-Escobedo
- IPICYT, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José, #2055, Col. Lomas 4ª Sección, San Luis Potosí, San Luis Potosí 78216, Mexico
| | - Alejandro Juárez-Reyes
- IPICYT, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José, #2055, Col. Lomas 4ª Sección, San Luis Potosí, San Luis Potosí 78216, Mexico
| | - Emmanuel Orta-Zavalza
- Departamento de Ciencias Químico-Biológicas, Universidad Autónoma de Ciudad Juárez, Chihuahua, Mexico
| | - Irene Castaño
- IPICYT, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José, #2055, Col. Lomas 4ª Sección, San Luis Potosí, San Luis Potosí 78216, Mexico
| | - Alejandro De Las Peñas
- IPICYT, División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica, Camino a la Presa San José, #2055, Col. Lomas 4ª Sección, San Luis Potosí, San Luis Potosí 78216, Mexico.
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6
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Julca I, Ferrari C, Flores-Tornero M, Proost S, Lindner AC, Hackenberg D, Steinbachová L, Michaelidis C, Gomes Pereira S, Misra CS, Kawashima T, Borg M, Berger F, Goldberg J, Johnson M, Honys D, Twell D, Sprunck S, Dresselhaus T, Becker JD, Mutwil M. Comparative transcriptomic analysis reveals conserved programmes underpinning organogenesis and reproduction in land plants. NATURE PLANTS 2021; 7:1143-1159. [PMID: 34253868 DOI: 10.1101/2020.10.29.361501] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 06/02/2021] [Indexed: 05/19/2023]
Abstract
The appearance of plant organs mediated the explosive radiation of land plants, which shaped the biosphere and allowed the establishment of terrestrial animal life. The evolution of organs and immobile gametes required the coordinated acquisition of novel gene functions, the co-option of existing genes and the development of novel regulatory programmes. However, no large-scale analyses of genomic and transcriptomic data have been performed for land plants. To remedy this, we generated gene expression atlases for various organs and gametes of ten plant species comprising bryophytes, vascular plants, gymnosperms and flowering plants. A comparative analysis of the atlases identified hundreds of organ- and gamete-specific orthogroups and revealed that most of the specific transcriptomes are significantly conserved. Interestingly, our results suggest that co-option of existing genes is the main mechanism for evolving new organs. In contrast to female gametes, male gametes showed a high number and conservation of specific genes, which indicates that male reproduction is highly specialized. The expression atlas capturing pollen development revealed numerous transcription factors and kinases essential for pollen biogenesis and function.
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Affiliation(s)
- Irene Julca
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Camilla Ferrari
- Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany
| | - María Flores-Tornero
- Cell Biology and Plant Biochemistry, University of Regensburg, Regensburg, Germany
| | - Sebastian Proost
- Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany
- Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium
- VIB, Center for Microbiology, Leuven, Belgium
| | | | - Dieter Hackenberg
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
- School of Life Sciences, Gibbet Hill Campus, The University of Warwick, Coventry, UK
| | - Lenka Steinbachová
- Laboratory of Pollen Biology, Institute of Experimental Botany of the Czech Academy of Sciences, Prague, Czech Republic
| | - Christos Michaelidis
- Laboratory of Pollen Biology, Institute of Experimental Botany of the Czech Academy of Sciences, Prague, Czech Republic
| | | | - Chandra Shekhar Misra
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
- Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal
| | - Tomokazu Kawashima
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna, BioCenter (VBC), Vienna, Austria
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY, USA
| | - Michael Borg
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna, BioCenter (VBC), Vienna, Austria
| | - Frédéric Berger
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna, BioCenter (VBC), Vienna, Austria
| | - Jacob Goldberg
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, USA
| | - Mark Johnson
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, USA
| | - David Honys
- Laboratory of Pollen Biology, Institute of Experimental Botany of the Czech Academy of Sciences, Prague, Czech Republic
| | - David Twell
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Stefanie Sprunck
- Cell Biology and Plant Biochemistry, University of Regensburg, Regensburg, Germany
| | - Thomas Dresselhaus
- Cell Biology and Plant Biochemistry, University of Regensburg, Regensburg, Germany
| | - Jörg D Becker
- Instituto Gulbenkian de Ciência, Oeiras, Portugal.
- Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal.
| | - Marek Mutwil
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
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7
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Julca I, Ferrari C, Flores-Tornero M, Proost S, Lindner AC, Hackenberg D, Steinbachová L, Michaelidis C, Gomes Pereira S, Misra CS, Kawashima T, Borg M, Berger F, Goldberg J, Johnson M, Honys D, Twell D, Sprunck S, Dresselhaus T, Becker JD, Mutwil M. Comparative transcriptomic analysis reveals conserved programmes underpinning organogenesis and reproduction in land plants. NATURE PLANTS 2021; 7:1143-1159. [PMID: 34253868 DOI: 10.1038/s41477-021-00958-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 06/02/2021] [Indexed: 05/22/2023]
Abstract
The appearance of plant organs mediated the explosive radiation of land plants, which shaped the biosphere and allowed the establishment of terrestrial animal life. The evolution of organs and immobile gametes required the coordinated acquisition of novel gene functions, the co-option of existing genes and the development of novel regulatory programmes. However, no large-scale analyses of genomic and transcriptomic data have been performed for land plants. To remedy this, we generated gene expression atlases for various organs and gametes of ten plant species comprising bryophytes, vascular plants, gymnosperms and flowering plants. A comparative analysis of the atlases identified hundreds of organ- and gamete-specific orthogroups and revealed that most of the specific transcriptomes are significantly conserved. Interestingly, our results suggest that co-option of existing genes is the main mechanism for evolving new organs. In contrast to female gametes, male gametes showed a high number and conservation of specific genes, which indicates that male reproduction is highly specialized. The expression atlas capturing pollen development revealed numerous transcription factors and kinases essential for pollen biogenesis and function.
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Affiliation(s)
- Irene Julca
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Camilla Ferrari
- Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany
| | - María Flores-Tornero
- Cell Biology and Plant Biochemistry, University of Regensburg, Regensburg, Germany
| | - Sebastian Proost
- Max Planck Institute for Molecular Plant Physiology, Potsdam-Golm, Germany
- Laboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium
- VIB, Center for Microbiology, Leuven, Belgium
| | | | - Dieter Hackenberg
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
- School of Life Sciences, Gibbet Hill Campus, The University of Warwick, Coventry, UK
| | - Lenka Steinbachová
- Laboratory of Pollen Biology, Institute of Experimental Botany of the Czech Academy of Sciences, Prague, Czech Republic
| | - Christos Michaelidis
- Laboratory of Pollen Biology, Institute of Experimental Botany of the Czech Academy of Sciences, Prague, Czech Republic
| | | | - Chandra Shekhar Misra
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
- Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal
| | - Tomokazu Kawashima
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna, BioCenter (VBC), Vienna, Austria
- Department of Plant and Soil Sciences, University of Kentucky, Lexington, KY, USA
| | - Michael Borg
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna, BioCenter (VBC), Vienna, Austria
| | - Frédéric Berger
- Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna, BioCenter (VBC), Vienna, Austria
| | - Jacob Goldberg
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, USA
| | - Mark Johnson
- Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, RI, USA
| | - David Honys
- Laboratory of Pollen Biology, Institute of Experimental Botany of the Czech Academy of Sciences, Prague, Czech Republic
| | - David Twell
- Department of Genetics and Genome Biology, University of Leicester, Leicester, UK
| | - Stefanie Sprunck
- Cell Biology and Plant Biochemistry, University of Regensburg, Regensburg, Germany
| | - Thomas Dresselhaus
- Cell Biology and Plant Biochemistry, University of Regensburg, Regensburg, Germany
| | - Jörg D Becker
- Instituto Gulbenkian de Ciência, Oeiras, Portugal.
- Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal.
| | - Marek Mutwil
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
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8
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Comparative Genomics Used to Predict Virulence Factors and Metabolic Genes among Monilinia Species. J Fungi (Basel) 2021; 7:jof7060464. [PMID: 34201288 PMCID: PMC8228255 DOI: 10.3390/jof7060464] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 05/31/2021] [Accepted: 06/01/2021] [Indexed: 02/07/2023] Open
Abstract
Brown rot, caused by Monilinia spp., is among the most important diseases in stone fruits, and some pome fruits (mainly apples). This disease is responsible for significant yield losses, particularly in stone fruits, when weather conditions favorable for disease development appear. To achieve future sustainable strategies to control brown rot on fruit, one potential approach will be to characterize genomic variation among Monilinia spp. to define, among others, the capacity to infect fruit in this genus. In the present work, we performed genomic and phylogenomic comparisons of five Monilinia species and inferred differences in numbers of secreted proteins, including CAZy proteins and other proteins important for virulence. Duplications specific to Monilinia were sparse and, overall, more genes have been lost than gained. Among Monilinia spp., low variability in the CAZome was observed. Interestingly, we identified several secondary metabolism clusters based on similarity to known clusters, and among them was a cluster with homology to pyriculol that could be responsible for the synthesis of chloromonilicin. Furthermore, we compared sequences of all strains available from NCBI of these species to assess their MAT loci and heterokaryon compatibility systems. Our comparative analyses provide the basis for future studies into understanding how these genomic differences underlie common or differential abilities to interact with the host plant.
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9
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Abstract
Syntenies are genomic segments of consecutive genes identified by a certain conservation in gene content and order. The notion of conservation may vary from one definition to another, the more constrained requiring identical gene contents and gene orders, while more relaxed definitions just require a certain similarity in gene content, and not necessarily in the same order. Regardless of the way they are identified, the goal is to characterize homologous genomic regions, i.e., regions deriving from a common ancestral region, reflecting a certain gene co-evolution that can enlighten important functional properties. In addition of being able to identify them, it is also necessary to infer the evolutionary history that has led from the ancestral segment to the extant ones. In this field, most algorithmic studies address the problem of inferring rearrangement scenarios explaining the disruption in gene order between segments with the same gene content, some of them extending the evolutionary model to gene insertion and deletion. However, syntenies also evolve through other events modifying their content in genes, such as duplications, losses or horizontal gene transfers, i.e., the movement of genes from one species to another. Although the reconciliation approach between a gene tree and a species tree addresses the problem of inferring such events for single-gene families, little effort has been dedicated to the generalization to segmental events and to syntenies. This paper reviews some of the main algorithmic methods for inferring ancestral syntenies and focus on those integrating both gene orders and gene trees.
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10
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Fernández R, Marcet-Houben M, Legeai F, Richard G, Robin S, Wucher V, Pegueroles C, Gabaldón T, Tagu D. Selection following Gene Duplication Shapes Recent Genome Evolution in the Pea Aphid Acyrthosiphon pisum. Mol Biol Evol 2021; 37:2601-2615. [PMID: 32359152 PMCID: PMC7475028 DOI: 10.1093/molbev/msaa110] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Ecology of insects is as wide as their diversity, which reflects their high capacity of adaptation in most of the environments of our planet. Aphids, with over 4,000 species, have developed a series of adaptations including a high phenotypic plasticity and the ability to feed on the phloem sap of plants, which is enriched in sugars derived from photosynthesis. Recent analyses of aphid genomes have indicated a high level of shared ancestral gene duplications that might represent a basis for genetic innovation and broad adaptations. In addition, there are a large number of recent, species-specific gene duplications whose role in adaptation remains poorly understood. Here, we tested whether duplicates specific to the pea aphid Acyrthosiphon pisum are related to genomic innovation by combining comparative genomics, transcriptomics, and chromatin accessibility analyses. Consistent with large levels of neofunctionalization, we found that most of the recent pairs of gene duplicates evolved asymmetrically, showing divergent patterns of positive selection and gene expression. Genes under selection involved a plethora of biological functions, suggesting that neofunctionalization and tissue specificity, among other evolutionary mechanisms, have orchestrated the evolution of recent paralogs in the pea aphid and may have facilitated host-symbiont cooperation. Our comprehensive phylogenomics analysis allowed us to tackle the history of duplicated genes to pave the road toward understanding the role of gene duplication in ecological adaptation.
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Affiliation(s)
- Rosa Fernández
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.,Animal Biodiversity and Evolution, Institute of Evolutionary Biology (CSIC-UPF), Barcelona, Spain
| | - Marina Marcet-Houben
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.,Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain.,Department of Life Sciences, Barcelona Supercomputing Center, Barcelona, Spain
| | - Fabrice Legeai
- IGEPP, INRAE, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France.,INRIA, IRISA, Genscale, Campus Beaulieu, Rennes, France
| | - Gautier Richard
- IGEPP, INRAE, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France.,Max Planck Institute of Immunobiology and Epigenetics, Freiburg im Breisgau, Germany
| | - Stéphanie Robin
- IGEPP, INRAE, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France.,INRIA, IRISA, GenOuest Core Facility, Campus Beaulieu, Rennes, France
| | - Valentin Wucher
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain
| | - Cinta Pegueroles
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.,Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain.,Department of Life Sciences, Barcelona Supercomputing Center, Barcelona, Spain
| | - Toni Gabaldón
- Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.,Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.,Department of Life Sciences, Barcelona Supercomputing Center, Barcelona, Spain
| | - Denis Tagu
- IGEPP, INRAE, Agrocampus Ouest, Université de Rennes 1, Le Rheu, France
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11
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Chorostecki U, Molina M, Pryszcz LP, Gabaldón T. MetaPhOrs 2.0: integrative, phylogeny-based inference of orthology and paralogy across the tree of life. Nucleic Acids Res 2020; 48:W553-W557. [PMID: 32343307 PMCID: PMC7319458 DOI: 10.1093/nar/gkaa282] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/01/2020] [Accepted: 04/25/2020] [Indexed: 12/23/2022] Open
Abstract
Inferring homology relationships across genes in different species is a central task in comparative genomics. Therefore, a large number of resources and methods have been developed over the years. Some public databases include phylogenetic trees of homologous gene families which can be used to further differentiate homology relationships into orthology and paralogy. MetaPhOrs is a web server that integrates phylogenetic information from different sources to provide orthology and paralogy relationships based on a common phylogeny-based predictive algorithm and associated with a consistency-based confidence score. Here we describe the latest version of the web server which includes major new implementations and provides orthology and paralogy relationships derived from ∼8.2 million gene family trees-from 13 different source repositories across ∼4000 species with sequenced genomes. MetaPhOrs server is freely available, without registration, at http://orthology.phylomedb.org/.
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Affiliation(s)
- Uciel Chorostecki
- Barcelona Supercomputing Centre (BSC-CNS), 08034 Barcelona, Spain.,Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Manuel Molina
- Barcelona Supercomputing Centre (BSC-CNS), 08034 Barcelona, Spain.,Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain
| | - Leszek P Pryszcz
- Centre for Genomic Regulation, 08003 Barcelona, Spain.,International Institute of Molecular and Cell Biology, 4 Ks. Trojdena Street, 02-109 Warsaw, Poland
| | - Toni Gabaldón
- Barcelona Supercomputing Centre (BSC-CNS), 08034 Barcelona, Spain.,Institute for Research in Biomedicine (IRB), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain.,ICREA, 08010 Barcelona, Spain
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12
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Lallemand T, Leduc M, Landès C, Rizzon C, Lerat E. An Overview of Duplicated Gene Detection Methods: Why the Duplication Mechanism Has to Be Accounted for in Their Choice. Genes (Basel) 2020; 11:E1046. [PMID: 32899740 PMCID: PMC7565063 DOI: 10.3390/genes11091046] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/01/2020] [Accepted: 09/02/2020] [Indexed: 12/11/2022] Open
Abstract
Gene duplication is an important evolutionary mechanism allowing to provide new genetic material and thus opportunities to acquire new gene functions for an organism, with major implications such as speciation events. Various processes are known to allow a gene to be duplicated and different models explain how duplicated genes can be maintained in genomes. Due to their particular importance, the identification of duplicated genes is essential when studying genome evolution but it can still be a challenge due to the various fates duplicated genes can encounter. In this review, we first describe the evolutionary processes allowing the formation of duplicated genes but also describe the various bioinformatic approaches that can be used to identify them in genome sequences. Indeed, these bioinformatic approaches differ according to the underlying duplication mechanism. Hence, understanding the specificity of the duplicated genes of interest is a great asset for tool selection and should be taken into account when exploring a biological question.
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Affiliation(s)
- Tanguy Lallemand
- IRHS, Agrocampus-Ouest, INRAE, Université d’Angers, SFR 4207 QuaSaV, 49071 Beaucouzé, France; (T.L.); (M.L.); (C.L.)
| | - Martin Leduc
- IRHS, Agrocampus-Ouest, INRAE, Université d’Angers, SFR 4207 QuaSaV, 49071 Beaucouzé, France; (T.L.); (M.L.); (C.L.)
| | - Claudine Landès
- IRHS, Agrocampus-Ouest, INRAE, Université d’Angers, SFR 4207 QuaSaV, 49071 Beaucouzé, France; (T.L.); (M.L.); (C.L.)
| | - Carène Rizzon
- Laboratoire de Mathématiques et Modélisation d’Evry (LaMME), Université d’Evry Val d’Essonne, Université Paris-Saclay, UMR CNRS 8071, ENSIIE, USC INRAE, 23 bvd de France, CEDEX, 91037 Evry Paris, France;
| | - Emmanuelle Lerat
- Université de Lyon, Université Lyon 1, CNRS, Laboratoire de Biométrie et Biologie Evolutive UMR 5558, F-69622 Villeurbanne, France
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13
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Huerta-Cepas J, Szklarczyk D, Heller D, Hernández-Plaza A, Forslund SK, Cook H, Mende DR, Letunic I, Rattei T, Jensen LJ, von Mering C, Bork P. eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses. Nucleic Acids Res 2020; 47:D309-D314. [PMID: 30418610 PMCID: PMC6324079 DOI: 10.1093/nar/gky1085] [Citation(s) in RCA: 2080] [Impact Index Per Article: 520.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Accepted: 10/26/2018] [Indexed: 11/25/2022] Open
Abstract
eggNOG is a public database of orthology relationships, gene evolutionary histories and functional annotations. Here, we present version 5.0, featuring a major update of the underlying genome sets, which have been expanded to 4445 representative bacteria and 168 archaea derived from 25 038 genomes, as well as 477 eukaryotic organisms and 2502 viral proteomes that were selected for diversity and filtered by genome quality. In total, 4.4M orthologous groups (OGs) distributed across 379 taxonomic levels were computed together with their associated sequence alignments, phylogenies, HMM models and functional descriptors. Precomputed evolutionary analysis provides fine-grained resolution of duplication/speciation events within each OG. Our benchmarks show that, despite doubling the amount of genomes, the quality of orthology assignments and functional annotations (80% coverage) has persisted without significant changes across this update. Finally, we improved eggNOG online services for fast functional annotation and orthology prediction of custom genomics or metagenomics datasets. All precomputed data are publicly available for downloading or via API queries at http://eggnog.embl.de
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Affiliation(s)
- Jaime Huerta-Cepas
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.,Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Damian Szklarczyk
- Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland
| | - Davide Heller
- Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland
| | - Ana Hernández-Plaza
- Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Sofia K Forslund
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.,Experimental and Clinical Research Center, a cooperation of Charité-Universitätsmedizin Berlin and Max Delbruck Center for Molecular Medicine, 13125 Berlin, Germany
| | - Helen Cook
- The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N 2200, Denmark
| | - Daniel R Mende
- Daniel K. Inouye Center for Microbial Oceanography: Research and Education (C-MORE), University of Hawaii, Honolulu, HI 96822, USA
| | - Ivica Letunic
- Biobyte solutions GmbH, Bothestr 142, 69126 Heidelberg, Germany
| | - Thomas Rattei
- CUBE-Division of Computational Systems Biology, Department of Microbiology and Ecosystem Science, University of Vienna, Vienna 1090, Austria
| | - Lars J Jensen
- The Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N 2200, Denmark
| | - Christian von Mering
- Institute of Molecular Life Sciences and Swiss Institute of Bioinformatics, University of Zurich, 8057 Zurich, Switzerland
| | - Peer Bork
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.,Germany Molecular Medicine Partnership Unit (MMPU), University Hospital Heidelberg and European Molecular Biology Laboratory, Heidelberg, Germany.,Max Delbrück Centre for Molecular Medicine, Berlin, Germany.,Department of Bioinformatics, Biocenter University of Würzburg, Würzburg, Germany
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14
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Giordano R, Donthu RK, Zimin AV, Julca Chavez IC, Gabaldon T, van Munster M, Hon L, Hall R, Badger JH, Nguyen M, Flores A, Potter B, Giray T, Soto-Adames FN, Weber E, Marcelino JAP, Fields CJ, Voegtlin DJ, Hill CB, Hartman GL. Soybean aphid biotype 1 genome: Insights into the invasive biology and adaptive evolution of a major agricultural pest. INSECT BIOCHEMISTRY AND MOLECULAR BIOLOGY 2020; 120:103334. [PMID: 32109587 DOI: 10.1016/j.ibmb.2020.103334] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2019] [Revised: 01/07/2020] [Accepted: 02/10/2020] [Indexed: 05/12/2023]
Abstract
The soybean aphid, Aphis glycines Matsumura (Hemiptera: Aphididae) is a serious pest of the soybean plant, Glycine max, a major world-wide agricultural crop. We assembled a de novo genome sequence of Ap. glycines Biotype 1, from a culture established shortly after this species invaded North America. 20.4% of the Ap. glycines proteome is duplicated. These in-paralogs are enriched with Gene Ontology (GO) categories mostly related to apoptosis, a possible adaptation to plant chemistry and other environmental stressors. Approximately one-third of these genes show parallel duplication in other aphids. But Ap. gossypii, its closest related species, has the lowest number of these duplicated genes. An Illumina GoldenGate assay of 2380 SNPs was used to determine the world-wide population structure of Ap. Glycines. China and South Korean aphids are the closest to those in North America. China is the likely origin of other Asian aphid populations. The most distantly related aphids to those in North America are from Australia. The diversity of Ap. glycines in North America has decreased over time since its arrival. The genetic diversity of Ap. glycines North American population sampled shortly after its first detection in 2001 up to 2012 does not appear to correlate with geography. However, aphids collected on soybean Rag experimental varieties in Minnesota (MN), Iowa (IA), and Wisconsin (WI), closer to high density Rhamnus cathartica stands, appear to have higher capacity to colonize resistant soybean plants than aphids sampled in Ohio (OH), North Dakota (ND), and South Dakota (SD). Samples from the former states have SNP alleles with high FST values and frequencies, that overlap with genes involved in iron metabolism, a crucial metabolic pathway that may be affected by the Rag-associated soybean plant response. The Ap. glycines Biotype 1 genome will provide needed information for future analyses of mechanisms of aphid virulence and pesticide resistance as well as facilitate comparative analyses between aphids with differing natural history and host plant range.
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Affiliation(s)
- Rosanna Giordano
- Puerto Rico Science, Technology and Research Trust, San Juan, PR, USA; Know Your Bee, Inc. San Juan, PR, USA.
| | - Ravi Kiran Donthu
- Puerto Rico Science, Technology and Research Trust, San Juan, PR, USA; Know Your Bee, Inc. San Juan, PR, USA.
| | - Aleksey V Zimin
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Irene Consuelo Julca Chavez
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS), Barcelona, Spain; Institute for Research in Biomedicine, Barcelona, Spain
| | - Toni Gabaldon
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Barcelona Supercomputing Centre (BSC-CNS), Barcelona, Spain; Institute for Research in Biomedicine, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Manuella van Munster
- CIRAD-INRA-Montpellier SupAgro, TA A54/K, Campus International de Baillarguet, Montpellier, France
| | | | | | - Jonathan H Badger
- Cancer and Inflammation Program, Center for Cancer Research, National Cancer Institute, National Institute of Health, DHHS, Bethesda, MD, USA
| | - Minh Nguyen
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Alejandra Flores
- College of Liberal Arts and Sciences, School of Molecular and Cellular Biology, University of Illinois, Urbana, IL, USA
| | - Bruce Potter
- University of Minnesota, Southwest Research and Outreach Center, Lamberton, MN, USA
| | - Tugrul Giray
- Department of Biology, University of Puerto Rico, San Juan, PR, USA
| | - Felipe N Soto-Adames
- Florida Department of Agriculture and Consumer Services, Division of Plant Industry, Entomology, Gainesville, FL, USA
| | | | - Jose A P Marcelino
- Puerto Rico Science, Technology and Research Trust, San Juan, PR, USA; Know Your Bee, Inc. San Juan, PR, USA; Department of Entomology and Nematology, University of Florida, Gainesville, FL, USA
| | - Christopher J Fields
- HPCBio, Roy J. Carver Biotechnology Center, University of Illinois, Urbana, IL, USA
| | - David J Voegtlin
- Illinois Natural History Survey, University of Illinois, Urbana, IL, USA
| | | | - Glen L Hartman
- USDA-ARS and Department of Crop Sciences, University of Illinois, Urbana, IL, USA
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15
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Julca I, Marcet-Houben M, Cruz F, Vargas-Chavez C, Johnston JS, Gómez-Garrido J, Frias L, Corvelo A, Loska D, Cámara F, Gut M, Alioto T, Latorre A, Gabaldón T. Phylogenomics Identifies an Ancestral Burst of Gene Duplications Predating the Diversification of Aphidomorpha. Mol Biol Evol 2020; 37:730-756. [PMID: 31702774 PMCID: PMC7038657 DOI: 10.1093/molbev/msz261] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Aphids (Aphidoidea) are a diverse group of hemipteran insects that feed on plant phloem sap. A common finding in studies of aphid genomes is the presence of a large number of duplicated genes. However, when these duplications occurred remains unclear, partly due to the high relatedness of sequenced species. To better understand the origin of aphid duplications we sequenced and assembled the genome of Cinara cedri, an early branching lineage (Lachninae) of the Aphididae family. We performed a phylogenomic comparison of this genome with 20 other sequenced genomes, including the available genomes of five other aphids, along with the transcriptomes of two species belonging to Adelgidae (a closely related clade to the aphids) and Coccoidea. We found that gene duplication has been pervasive throughout the evolution of aphids, including many parallel waves of recent, species-specific duplications. Most notably, we identified a consistent set of very ancestral duplications, originating from a large-scale gene duplication predating the diversification of Aphidomorpha (comprising aphids, phylloxerids, and adelgids). Genes duplicated in this ancestral wave are enriched in functions related to traits shared by Aphidomorpha, such as association with endosymbionts, and adaptation to plant defenses and phloem-sap-based diet. The ancestral nature of this duplication wave (106-227 Ma) and the lack of sufficiently conserved synteny make it difficult to conclude whether it originated from a whole-genome duplication event or, alternatively, from a burst of large-scale segmental duplications. Genome sequencing of other aphid species belonging to different Aphidomorpha and related lineages may clarify these findings.
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Affiliation(s)
- Irene Julca
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marina Marcet-Houben
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Fernando Cruz
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Carlos Vargas-Chavez
- Institute for Integrative Systems Biology (I2SysBio), University of Valencia and CSIC, Valencia, Spain
| | | | - Jèssica Gómez-Garrido
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - Leonor Frias
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
| | - André Corvelo
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- New York Genome Center, New York, NY
| | - Damian Loska
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Francisco Cámara
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Marta Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Department of Experimental and Health Sciences, Barcelona, Spain
| | - Tyler Alioto
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Department of Experimental and Health Sciences, Barcelona, Spain
| | - Amparo Latorre
- Institute for Integrative Systems Biology (I2SysBio), University of Valencia and CSIC, Valencia, Spain
- Joint Unit in Genomics and Health, Foundation for the Promotion of Sanitary and Biomedical Research (FISABIO) and University of Valencia, Valencia, Spain
| | - Toni Gabaldón
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Department of Experimental and Health Sciences, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
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16
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Comparative Genomics and Evolutionary Analysis of RNA-Binding Proteins of Burkholderia cenocepacia J2315 and Other Members of the B. cepacia Complex. Genes (Basel) 2020; 11:genes11020231. [PMID: 32098200 PMCID: PMC7074383 DOI: 10.3390/genes11020231] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 02/17/2020] [Accepted: 02/19/2020] [Indexed: 12/15/2022] Open
Abstract
RNA-binding proteins (RBPs) are important regulators of cellular functions, playing critical roles on the survival of bacteria and in the case of pathogens, on their interaction with the host. RBPs are involved in transcriptional, post-transcriptional, and translational processes. However, except for model organisms like Escherichia coli, there is little information about the identification or characterization of RBPs in other bacteria, namely in members of the Burkholderia cepacia complex (Bcc). Bcc is a group of bacterial species associated with a poor clinical prognosis in cystic fibrosis patients. These species have some of the largest bacterial genomes, and except for the presence of two-distinct Hfq-like proteins, their RBP repertoire has not been analyzed so far. Using in silico approaches, we identified 186 conventional putative RBPs in Burkholderia cenocepacia J2315, an epidemic and multidrug resistant pathogen of cystic fibrosis patients. Here we describe the comparative genomics and phylogenetic analysis of RBPs present in multiple copies and predicted to play a role in transcription, protein synthesis, and RNA decay in Bcc bacteria. In addition to the two different Hfq chaperones, five cold shock proteins phylogenetically close to E. coli CspD protein and three distinct RhlE-like helicases could be found in the B. cenocepacia J2315 genome. No RhlB, SrmB, or DeaD helicases could be found in the genomes of these bacteria. These results, together with the multiple copies of other proteins generally involved in RNA degradation, suggest the existence, in B. cenocepacia and in other Bcc bacteria, of some extra and unexplored functions for the mentioned RBPs, as well as of alternative mechanisms involved in RNA regulation and metabolism in these bacteria.
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17
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Alioto T, Alexiou KG, Bardil A, Barteri F, Castanera R, Cruz F, Dhingra A, Duval H, Fernández i Martí Á, Frias L, Galán B, García JL, Howad W, Gómez‐Garrido J, Gut M, Julca I, Morata J, Puigdomènech P, Ribeca P, Rubio Cabetas MJ, Vlasova A, Wirthensohn M, Garcia‐Mas J, Gabaldón T, Casacuberta JM, Arús P. Transposons played a major role in the diversification between the closely related almond and peach genomes: results from the almond genome sequence. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2020; 101:455-472. [PMID: 31529539 PMCID: PMC7004133 DOI: 10.1111/tpj.14538] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 08/29/2019] [Accepted: 09/02/2019] [Indexed: 05/19/2023]
Abstract
We sequenced the genome of the highly heterozygous almond Prunus dulcis cv. Texas combining short- and long-read sequencing. We obtained a genome assembly totaling 227.6 Mb of the estimated almond genome size of 238 Mb, of which 91% is anchored to eight pseudomolecules corresponding to its haploid chromosome complement, and annotated 27 969 protein-coding genes and 6747 non-coding transcripts. By phylogenomic comparison with the genomes of 16 additional close and distant species we estimated that almond and peach (Prunus persica) diverged around 5.88 million years ago. These two genomes are highly syntenic and show a high degree of sequence conservation (20 nucleotide substitutions per kb). However, they also exhibit a high number of presence/absence variants, many attributable to the movement of transposable elements (TEs). Transposable elements have generated an important number of presence/absence variants between almond and peach, and we show that the recent history of TE movement seems markedly different between them. Transposable elements may also be at the origin of important phenotypic differences between both species, and in particular for the sweet kernel phenotype, a key agronomic and domestication character for almond. Here we show that in sweet almond cultivars, highly methylated TE insertions surround a gene involved in the biosynthesis of amygdalin, whose reduced expression has been correlated with the sweet almond phenotype. Altogether, our results suggest a key role of TEs in the recent history and diversification of almond and its close relative peach.
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Affiliation(s)
- Tyler Alioto
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)Baldiri i Reixac 408028BarcelonaSpain
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
| | - Konstantinos G. Alexiou
- IRTA, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Amélie Bardil
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Fabio Barteri
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Raúl Castanera
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Fernando Cruz
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)Baldiri i Reixac 408028BarcelonaSpain
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
| | - Amit Dhingra
- Department of HorticultureWashington State University99164-6414PullmanWAUSA
| | - Henri Duval
- INRA, UR1052Unité de Génétique et Amélioration des Fruits et Légumes (GAFL)Domaine St. Maurice CS 6009484143Montfavet CedexFrance
| | - Ángel Fernández i Martí
- Department of Environmental Science Policy and ManagementUniversity of CaliforniaBerkeley94720CAUSA
- Innovative Genomics Institute (IGI)94720BerkeleyCAUSA
| | - Leonor Frias
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)Baldiri i Reixac 408028BarcelonaSpain
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
| | - Beatriz Galán
- Department of Environmental BiologyCenter for Biological Research (CIB‐CSIC)Spanish National Research Council (CSIC)Ramiro de Maeztu 928040MadridSpain
| | - José L. García
- Department of Environmental BiologyCenter for Biological Research (CIB‐CSIC)Spanish National Research Council (CSIC)Ramiro de Maeztu 928040MadridSpain
| | - Werner Howad
- IRTA, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Jèssica Gómez‐Garrido
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)Baldiri i Reixac 408028BarcelonaSpain
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
| | - Marta Gut
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)Baldiri i Reixac 408028BarcelonaSpain
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
| | - Irene Julca
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
- Bioinformatics and Genomics ProgrammeCentre for Genomic Regulation (CRG)Dr Aiguader, 8808003BarcelonaSpain
| | - Jordi Morata
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Pere Puigdomènech
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Paolo Ribeca
- CNAG‐CRG, Centre for Genomic Regulation (CRG)Barcelona Institute of Science and Technology (BIST)Baldiri i Reixac 408028BarcelonaSpain
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
- The Pirbright InstituteWokingSurreyGU24 0NFUK
| | - María J. Rubio Cabetas
- Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA)Unidad de HortofruticulturaGobierno de Aragón, Avda. Montañana 93050059ZaragozaSpain
- Instituto Agroalimentario de Aragón – IA2 (CITA‐Universidad de Zaragoza)Calle Miguel Servet 17750013ZaragozaSpain
| | - Anna Vlasova
- Bioinformatics and Genomics ProgrammeCentre for Genomic Regulation (CRG)Dr Aiguader, 8808003BarcelonaSpain
| | - Michelle Wirthensohn
- University of AdelaideWaite Research InstituteSchool of Agriculture, Food and WinePMB 1Glen OsmondSA5064Australia
| | - Jordi Garcia‐Mas
- IRTA, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Toni Gabaldón
- Universitat Pompeu Fabra (UPF)08005BarcelonaSpain
- Bioinformatics and Genomics ProgrammeCentre for Genomic Regulation (CRG)Dr Aiguader, 8808003BarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)Pg Lluís Companys 2308010BarcelonaSpain
| | - Josep M. Casacuberta
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
| | - Pere Arús
- IRTA, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
- Centre for Research in Agricultural Genomics (CRAG)CSIC‐IRTA‐UAB‐UB, Campus UABEdifici CRAGCerdanyola del Vallès (Bellaterra)08193BarcelonaSpain
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18
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Lütkenhaus R, Traeger S, Breuer J, Carreté L, Kuo A, Lipzen A, Pangilinan J, Dilworth D, Sandor L, Pöggeler S, Gabaldón T, Barry K, Grigoriev IV, Nowrousian M. Comparative Genomics and Transcriptomics To Analyze Fruiting Body Development in Filamentous Ascomycetes. Genetics 2019; 213:1545-1563. [PMID: 31604798 PMCID: PMC6893386 DOI: 10.1534/genetics.119.302749] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 10/08/2019] [Indexed: 02/08/2023] Open
Abstract
Many filamentous ascomycetes develop three-dimensional fruiting bodies for production and dispersal of sexual spores. Fruiting bodies are among the most complex structures differentiated by ascomycetes; however, the molecular mechanisms underlying this process are insufficiently understood. Previous comparative transcriptomics analyses of fruiting body development in different ascomycetes suggested that there might be a core set of genes that are transcriptionally regulated in a similar manner across species. Conserved patterns of gene expression can be indicative of functional relevance, and therefore such a set of genes might constitute promising candidates for functional analyses. In this study, we have sequenced the genome of the Pezizomycete Ascodesmis nigricans, and performed comparative transcriptomics of developing fruiting bodies of this fungus, the Pezizomycete Pyronema confluens, and the Sordariomycete Sordaria macrospora With only 27 Mb, the A. nigricans genome is the smallest Pezizomycete genome sequenced to date. Comparative transcriptomics indicated that gene expression patterns in developing fruiting bodies of the three species are more similar to each other than to nonsexual hyphae of the same species. An analysis of 83 genes that are upregulated only during fruiting body development in all three species revealed 23 genes encoding proteins with predicted roles in vesicle transport, the endomembrane system, or transport across membranes, and 13 genes encoding proteins with predicted roles in chromatin organization or the regulation of gene expression. Among four genes chosen for functional analysis by deletion in S. macrospora, three were shown to be involved in fruiting body formation, including two predicted chromatin modifier genes.
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Affiliation(s)
- Ramona Lütkenhaus
- Department of Molecular and Cellular Botany, Ruhr-Universität Bochum, 44780 Bochum, Germany
| | - Stefanie Traeger
- Department of Molecular and Cellular Botany, Ruhr-Universität Bochum, 44780 Bochum, Germany
| | - Jan Breuer
- Department of Molecular and Cellular Botany, Ruhr-Universität Bochum, 44780 Bochum, Germany
| | - Laia Carreté
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation, 08003 Barcelona, Spain
| | - Alan Kuo
- US Department of Energy Joint Genome Institute, Walnut Creek, California 94598
| | - Anna Lipzen
- US Department of Energy Joint Genome Institute, Walnut Creek, California 94598
| | - Jasmyn Pangilinan
- US Department of Energy Joint Genome Institute, Walnut Creek, California 94598
| | - David Dilworth
- US Department of Energy Joint Genome Institute, Walnut Creek, California 94598
| | - Laura Sandor
- US Department of Energy Joint Genome Institute, Walnut Creek, California 94598
| | - Stefanie Pöggeler
- Institute of Microbiology and Genetics, Department of Genetics of Eukaryotic Microorganisms, Georg-August University, Göttingen, 37077 Göttingen, Germany
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation, 08003 Barcelona, Spain
- Universitat Pompeu Fabra, 08002 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats, 08010 Barcelona, Spain
| | - Kerrie Barry
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation, 08003 Barcelona, Spain
| | - Igor V Grigoriev
- US Department of Energy Joint Genome Institute, Walnut Creek, California 94598
- Department of Plant and Microbial Biology, University of California Berkeley, California 94720
| | - Minou Nowrousian
- Department of Molecular and Cellular Botany, Ruhr-Universität Bochum, 44780 Bochum, Germany
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19
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Nakatsukasa K, Kawarasaki T, Moriyama A. Heterologous expression and functional analysis of the F-box protein Ucc1 from other yeast species in Saccharomyces cerevisiae. J Biosci Bioeng 2019; 128:704-709. [DOI: 10.1016/j.jbiosc.2019.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 05/31/2019] [Accepted: 06/05/2019] [Indexed: 11/17/2022]
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20
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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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21
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Legras JL, Galeote V, Bigey F, Camarasa C, Marsit S, Nidelet T, Sanchez I, Couloux A, Guy J, Franco-Duarte R, Marcet-Houben M, Gabaldon T, Schuller D, Sampaio JP, Dequin S. Adaptation of S. cerevisiae to Fermented Food Environments Reveals Remarkable Genome Plasticity and the Footprints of Domestication. Mol Biol Evol 2019; 35:1712-1727. [PMID: 29746697 PMCID: PMC5995190 DOI: 10.1093/molbev/msy066] [Citation(s) in RCA: 139] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
The budding yeast Saccharomyces cerevisiae can be found in the wild and is also frequently associated with human activities. Despite recent insights into the phylogeny of this species, much is still unknown about how evolutionary processes related to anthropogenic niches have shaped the genomes and phenotypes of S. cerevisiae. To address this question, we performed population-level sequencing of 82 S. cerevisiae strains from wine, flor, rum, dairy products, bakeries, and the natural environment (oak trees). These genomic data enabled us to delineate specific genetic groups corresponding to the different ecological niches and revealed high genome content variation across the groups. Most of these strains, compared with the reference genome, possessed additional genetic elements acquired by introgression or horizontal transfer, several of which were population-specific. In addition, several genomic regions in each population showed evidence of nonneutral evolution, as shown by high differentiation, or of selective sweeps including genes with key functions in these environments (e.g., amino acid transport for wine yeast). Linking genetics to lifestyle differences and metabolite traits has enabled us to elucidate the genetic basis of several niche-specific population traits, such as growth on galactose for cheese strains. These data indicate that yeast has been subjected to various divergent selective pressures depending on its niche, requiring the development of customized genomes for better survival in these environments. These striking genome dynamics associated with local adaptation and domestication reveal the remarkable plasticity of the S. cerevisiae genome, revealing this species to be an amazing complex of specialized populations.
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Affiliation(s)
- Jean-Luc Legras
- SPO, Univ Montpellier, INRA, Montpellier SupAgro, Montpellier, France
| | - Virginie Galeote
- SPO, Univ Montpellier, INRA, Montpellier SupAgro, Montpellier, France
| | - Frédéric Bigey
- SPO, Univ Montpellier, INRA, Montpellier SupAgro, Montpellier, France
| | - Carole Camarasa
- SPO, Univ Montpellier, INRA, Montpellier SupAgro, Montpellier, France
| | - Souhir Marsit
- SPO, Univ Montpellier, INRA, Montpellier SupAgro, Montpellier, France
| | - Thibault Nidelet
- SPO, Univ Montpellier, INRA, Montpellier SupAgro, Montpellier, France
| | | | - Arnaud Couloux
- Centre National de Séquençage, Institut de Genomique, Genoscope, Evry Cedex, France
| | - Julie Guy
- Centre National de Séquençage, Institut de Genomique, Genoscope, Evry Cedex, France
| | - Ricardo Franco-Duarte
- CBMA, Department of Biology, Universidade do Minho, Campus de Gualtar, Braga, Portugal
| | - Marina Marcet-Houben
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Toni Gabaldon
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain.,ICREA, Pg. Lluís Companys 23, Barcelona, Spain
| | - Dorit Schuller
- CBMA, Department of Biology, Universidade do Minho, Campus de Gualtar, Braga, Portugal
| | - José Paulo Sampaio
- UCIBIO-REQUIMTE, Departamento de Ciencias da Vida, Faculdade de Ciencias e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal
| | - Sylvie Dequin
- SPO, Univ Montpellier, INRA, Montpellier SupAgro, Montpellier, France
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22
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Naranjo-Ortíz MA, Rodríguez-Píres S, Torres R, De Cal A, Usall J, Gabaldón T. Genome Sequence of the Brown Rot Fungal Pathogen Monilinia laxa. GENOME ANNOUNCEMENTS 2018; 6:e00214-18. [PMID: 29700136 PMCID: PMC5920163 DOI: 10.1128/genomea.00214-18] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Accepted: 03/16/2018] [Indexed: 11/20/2022]
Abstract
Monilinia laxa (phylum Ascomycota) is a plant pathogen responsible for the brown rot blossom blight disease in stone fruit trees of the Rosaceae family, such as apricots. We report here the genome sequence of strain 8L of this species, which was assembled into 618 scaffolds, having a total size of 40.799 Mb and encoding 9,567 unique protein-coding genes.
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Affiliation(s)
- Miguel A Naranjo-Ortíz
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Silvia Rodríguez-Píres
- Department of Plant Protection, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | | | - Antonieta De Cal
- Department of Plant Protection, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Madrid, Spain
| | - Josep Usall
- IRTA, XaRTA-Postharvest, Lleida, Catalonia, Spain
| | - Toni Gabaldón
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- ICREA, Barcelona, Spain
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23
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Rujirawat T, Patumcharoenpol P, Lohnoo T, Yingyong W, Kumsang Y, Payattikul P, Tangphatsornruang S, Suriyaphol P, Reamtong O, Garg G, Kittichotirat W, Krajaejun T. Probing the Phylogenomics and Putative Pathogenicity Genes of Pythium insidiosum by Oomycete Genome Analyses. Sci Rep 2018. [PMID: 29515152 PMCID: PMC5841299 DOI: 10.1038/s41598-018-22540-1] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Pythium insidiosum is a human-pathogenic oomycete. Many patients infected with it lose organs or die. Toward the goal of developing improved treatment options, we want to understand how Py. insidiosum has evolved to become a successful human pathogen. Our approach here involved the use of comparative genomic and other analyses to identify genes with possible functions in the pathogenicity of Py. insidiosum. We generated an Oomycete Gene Table and used it to explore the genome contents and phylogenomic relationships of Py. insidiosum and 19 other oomycetes. Initial sequence analyses showed that Py. insidiosum is closely related to Pythium species that are not pathogenic to humans. Our analyses also indicated that the organism harbours secreted and adhesin-like proteins, which are absent from related species. Putative virulence proteins were identified by comparison to a set of known virulence genes. Among them is the urease Ure1, which is absent from humans and thus a potential diagnostic and therapeutic target. We used mass spectrometric data to successfully validate the expression of 30% of 14,962 predicted proteins and identify 15 body temperature (37 °C)-dependent proteins of Py. insidiosum. This work begins to unravel the determinants of pathogenicity of Py. insidiosum.
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Affiliation(s)
- Thidarat Rujirawat
- Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Molecular Medicine Program, Multidisciplinary Unit, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Preecha Patumcharoenpol
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA.,Systems Biology and Bioinformatics Research Group, Pilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand
| | - Tassanee Lohnoo
- Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Wanta Yingyong
- Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Yothin Kumsang
- Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Penpan Payattikul
- Research Center, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Sithichoke Tangphatsornruang
- Genomic Research Laboratory, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathumthani, Thailand
| | - Prapat Suriyaphol
- Bioinformatics and Data Management for Research, Office for Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Onrapak Reamtong
- Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Gagan Garg
- CSIRO Agriculture and Food, Centre for Environment and Life Sciences, Floreat, WA, Australia
| | - Weerayuth Kittichotirat
- Systems Biology and Bioinformatics Research Group, Pilot Plant Development and Training Institute, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
| | - Theerapong Krajaejun
- Department of Pathology, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
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24
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McKain MR, Johnson MG, Uribe‐Convers S, Eaton D, Yang Y. Practical considerations for plant phylogenomics. APPLICATIONS IN PLANT SCIENCES 2018; 6:e1038. [PMID: 29732268 PMCID: PMC5895195 DOI: 10.1002/aps3.1038] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 03/13/2018] [Indexed: 05/10/2023]
Abstract
The past decade has seen a major breakthrough in our ability to easily and inexpensively sequence genome-scale data from diverse lineages. The development of high-throughput sequencing and long-read technologies has ushered in the era of phylogenomics, where hundreds to thousands of nuclear genes and whole organellar genomes are routinely used to reconstruct evolutionary relationships. As a result, understanding which options are best suited for a particular set of questions can be difficult, especially for those just starting in the field. Here, we review the most recent advances in plant phylogenomic methods and make recommendations for project-dependent best practices and considerations. We focus on the costs and benefits of different approaches in regard to the information they provide researchers and the questions they can address. We also highlight unique challenges and opportunities in plant systems, such as polyploidy, reticulate evolution, and the use of herbarium materials, identifying optimal methodologies for each. Finally, we draw attention to lingering challenges in the field of plant phylogenomics, such as reusability of data sets, and look at some up-and-coming technologies that may help propel the field even further.
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Affiliation(s)
- Michael R. McKain
- Department of Biological SciencesThe University of AlabamaBox 870344TuscaloosaAlabama35487USA
| | - Matthew G. Johnson
- Department of Biological SciencesTexas Tech University2901 Main Street, Box 43131LubbockTexas79409USA
| | - Simon Uribe‐Convers
- Department of Ecology and Evolutionary BiologyUniversity of Michigan830 North UniversityAnn ArborMichigan48109USA
| | - Deren Eaton
- Department of Ecology, Evolution, and Environmental BiologyColumbia University1200 Amsterdam AvenueNew YorkNew York10027USA
| | - Ya Yang
- Department of Plant and Microbial BiologyUniversity of Minnesota–Twin Cities1445 Gortner AvenueSt. PaulMinnesota55108USA
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25
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Julca I, Marcet-Houben M, Vargas P, Gabaldón T. Phylogenomics of the olive tree (Olea europaea) reveals the relative contribution of ancient allo- and autopolyploidization events. BMC Biol 2018; 16:15. [PMID: 29370802 PMCID: PMC5785856 DOI: 10.1186/s12915-018-0482-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Accepted: 01/04/2018] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Polyploidization is one of the major evolutionary processes that shape eukaryotic genomes, being particularly common in plants. Polyploids can arise through direct genome doubling within a species (autopolyploidization) or through the merging of genomes from distinct species after hybridization (allopolyploidization). The relative contribution of both mechanisms in plant evolution is debated. Here we used phylogenomics to dissect the tempo and mode of duplications in the genome of the olive tree (Olea europaea), one of the first domesticated Mediterranean fruit trees. RESULTS Our results depict a complex scenario involving at least three past polyploidization events, of which two-at the bases of the family Oleaceae and the tribe Oleeae, respectively-are likely to be the result of ancient allopolyploidization. A more recent polyploidization involves specifically the olive tree and relatives. CONCLUSION Our results show the power of phylogenomics to distinguish between allo- and auto polyploidization events and clarify the contributions of duplications in the evolutionary history of the olive tree.
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Affiliation(s)
- Irene Julca
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
- Universitat Autònoma de Barcelona (UAB), 08193, Barcelona, Spain
| | - Marina Marcet-Houben
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain
| | - Pablo Vargas
- Real Jardín Botánico de Madrid (CSIC-RJB), 28014, Madrid, Spain
| | - Toni Gabaldón
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona, 08003, Spain.
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain.
- ICREA, Pg. Lluís Companys 23, 08010, Barcelona, Spain.
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26
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Yang Y, Moore MJ, Brockington SF, Mikenas J, Olivieri J, Walker JF, Smith SA. Improved transcriptome sampling pinpoints 26 ancient and more recent polyploidy events in Caryophyllales, including two allopolyploidy events. THE NEW PHYTOLOGIST 2018; 217:855-870. [PMID: 28944472 DOI: 10.1111/nph.14812] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 08/09/2017] [Indexed: 05/14/2023]
Abstract
Studies of the macroevolutionary legacy of polyploidy are limited by an incomplete sampling of these events across the tree of life. To better locate and understand these events, we need comprehensive taxonomic sampling as well as homology inference methods that accurately reconstruct the frequency and location of gene duplications. We assembled a data set of transcriptomes and genomes from 168 species in Caryophyllales, of which 43 transcriptomes were newly generated for this study, representing one of the most densely sampled genomic-scale data sets available. We carried out phylogenomic analyses using a modified phylome strategy to reconstruct the species tree. We mapped the phylogenetic distribution of polyploidy events by both tree-based and distance-based methods, and explicitly tested scenarios for allopolyploidy. We identified 26 ancient and more recent polyploidy events distributed throughout Caryophyllales. Two of these events were inferred to be allopolyploidy. Through dense phylogenomic sampling, we show the propensity of polyploidy throughout the evolutionary history of Caryophyllales. We also provide a framework for utilizing transcriptome data to detect allopolyploidy, which is important as it may have different macroevolutionary implications compared with autopolyploidy.
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Affiliation(s)
- Ya Yang
- Department of Ecology & Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI, 48109-1048, USA
| | - Michael J Moore
- Department of Biology, Oberlin College, 119 Woodland St, Oberlin, OH, 44074-1097, USA
| | | | - Jessica Mikenas
- Department of Biology, Oberlin College, 119 Woodland St, Oberlin, OH, 44074-1097, USA
| | - Julia Olivieri
- Department of Biology, Oberlin College, 119 Woodland St, Oberlin, OH, 44074-1097, USA
| | - Joseph F Walker
- Department of Ecology & Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI, 48109-1048, USA
| | - Stephen A Smith
- Department of Ecology & Evolutionary Biology, University of Michigan, 830 North University Avenue, Ann Arbor, MI, 48109-1048, USA
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Bravo-Ruiz G, Sassi AH, Marcet-Houben M, Di Pietro A, Gargouri A, Gabaldon T, Roncero MIG. Regulatory Mechanisms of a Highly Pectinolytic Mutant of Penicillium occitanis and Functional Analysis of a Candidate Gene in the Plant Pathogen Fusarium oxysporum. Front Microbiol 2017; 8:1627. [PMID: 28951729 PMCID: PMC5599776 DOI: 10.3389/fmicb.2017.01627] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 08/10/2017] [Indexed: 11/24/2022] Open
Abstract
Penicillium occitanis is a model system for enzymatic regulation. A mutant strain exhibiting constitutive overproduction of different pectinolytic enzymes both under inducing (pectin) or repressing conditions (glucose) was previously isolated after chemical mutagenesis. In order to identify the molecular basis of this regulatory mechanism, the genomes of the wild type and the derived mutant strain were sequenced and compared, providing the first reference genome for this species. We used a phylogenomic approach to compare P. occitanis with other pectinolytic fungi and to trace expansions of gene families involved in carbohydrate degradation. Genome comparison between wild type and mutant identified seven mutations associated with predicted proteins. The most likely candidate was a mutation in a highly conserved serine residue of a conserved fungal protein containing a GAL4-like Zn2Cys6 binuclear cluster DNA-binding domain and a fungus-specific transcription factor regulatory middle homology region. To functionally characterize the role of this candidate gene, the mutation was recapitulated in the predicted orthologue Fusarium oxysporum, a vascular wilt pathogen which secretes a wide array of plant cell wall degrading enzymes, including polygalacturonases, pectate lyases, xylanases and proteases, all of which contribute to infection. However, neither the null mutant nor a mutant carrying the analogous point mutation exhibited a deregulation of pectinolytic enzymes. The availability, annotation and phylogenomic analysis of the P. occitanis genome sequence represents an important resource for understanding the evolution and biology of this species, and sets the basis for the discovery of new genes of biotechnological interest for the degradation of complex polysaccharides.
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Affiliation(s)
- Gustavo Bravo-Ruiz
- Departamento de Genetica, Universidad de Cordoba and Campus de Excelencia Agroalimentario (ceiA3)Cordoba, Spain
| | - Azza Hadj Sassi
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelona, Spain
| | - Marina Marcet-Houben
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelona, Spain
- Universitat Pompeu FabraBarcelona, Spain
| | - Antonio Di Pietro
- Departamento de Genetica, Universidad de Cordoba and Campus de Excelencia Agroalimentario (ceiA3)Cordoba, Spain
| | - Ali Gargouri
- Laboratoire de Biotechnologie Moléculaire des Eucaryotes, Centre de Biotechnologie de SfaxSfax, Tunisia
| | - Toni Gabaldon
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelona, Spain
- Universitat Pompeu FabraBarcelona, Spain
- Institucio Catalana de Recerca i Estudis AvançatsBarcelona, Spain
| | - M. Isabel G. Roncero
- Departamento de Genetica, Universidad de Cordoba and Campus de Excelencia Agroalimentario (ceiA3)Cordoba, Spain
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Santomartino R, Riego-Ruiz L, Bianchi MM. Three, two, one yeast fatty acid desaturases: regulation and function. World J Microbiol Biotechnol 2017; 33:89. [PMID: 28390014 DOI: 10.1007/s11274-017-2257-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 03/31/2017] [Indexed: 01/01/2023]
Abstract
Fatty acid composition of biological membranes functionally adapts to environmental conditions by changing its composition through the activity of lipid biosynthetic enzymes, including the fatty acid desaturases. Three major desaturases are present in yeasts, responsible for the generation of double bonds in position C9-C10, C12-C13 and C15-C16 of the carbon backbone. In this review, we will report data addressed to define the functional role of basidiomycete and ascomycete yeast desaturase enzymes in response to various external signals and the regulation of the expression of their corresponding genes. Many yeast species have the complete set of three desaturases; however, only the Δ9 desaturase seems to be necessary and sufficient to ensure yeast viability. The evolutionary issue of this observation will be discussed.
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Affiliation(s)
- Rosa Santomartino
- Dip. di Biologia e Biotecnologie C. Darwin, Sapienza Università di Roma, p.le Aldo Moro 5, 00185, Rome, Italy
| | - Lina Riego-Ruiz
- División de Biología Molecular, Instituto Potosino de Investigación Científica y Tecnológica (IPICYT), A.C., San Luis Potosí, Mexico
| | - Michele M Bianchi
- Dip. di Biologia e Biotecnologie C. Darwin, Sapienza Università di Roma, p.le Aldo Moro 5, 00185, Rome, Italy.
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29
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Naranjo-Ortíz MA, Brock M, Brunke S, Hube B, Marcet-Houben M, Gabaldón T. Widespread Inter- and Intra-Domain Horizontal Gene Transfer of d-Amino Acid Metabolism Enzymes in Eukaryotes. Front Microbiol 2016; 7:2001. [PMID: 28066338 PMCID: PMC5169069 DOI: 10.3389/fmicb.2016.02001] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Accepted: 11/29/2016] [Indexed: 01/22/2023] Open
Abstract
Analysis of the growing number of available fully-sequenced genomes has shown that Horizontal Gene Transfer (HGT) in eukaryotes is more common than previously thought. It has been proposed that genes with certain functions may be more prone to HGT than others, but we still have a very poor understanding of the selective forces driving eukaryotic HGT. Recent work uncovered that d-amino acid racemases have been commonly transferred from bacteria to fungi, but their role in the receiving organisms is currently unknown. Here, we set out to assess whether d-amino acid racemases are commonly transferred to and between eukaryotic groups. For this we performed a global survey that used a novel automated phylogeny-based HGT-detection algorithm (Abaccus). Our results revealed that at least 7.0% of the total eukaryotic racemase repertoire is the result of inter- or intra-domain HGT. These transfers are significantly enriched in plant-associated fungi. For these, we hypothesize a possible role for the acquired racemases allowing to exploit minoritary nitrogen sources in plant biomass, a nitrogen-poor environment. Finally, we performed experiments on a transferred aspartate-glutamate racemase in the fungal human pathogen Candida glabrata, which however revealed no obvious biological role.
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Affiliation(s)
- Miguel A Naranjo-Ortíz
- Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelona, Spain; Universitat Pompeu FabraBarcelona, Spain
| | - Matthias Brock
- Fungal Genetics and Biology Group, School of Life Sciences, University of Nottingham Nottingham, UK
| | - Sascha Brunke
- Department of Microbial Pathogenicity Mechanisms, Hans Knoell Institute Jena Jena, Germany
| | - Bernhard Hube
- Department of Microbial Pathogenicity Mechanisms, Hans Knoell Institute JenaJena, Germany; Friedrich Schiller UniversityJena, Germany; Center for Sepsis Control and Care, University HospitalJena, Germany
| | - Marina Marcet-Houben
- Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelona, Spain; Universitat Pompeu FabraBarcelona, Spain
| | - Toni Gabaldón
- Centre for Genomic Regulation, The Barcelona Institute of Science and TechnologyBarcelona, Spain; Universitat Pompeu FabraBarcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA)Barcelona, Spain
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30
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Abascal F, Corvelo A, Cruz F, Villanueva-Cañas JL, Vlasova A, Marcet-Houben M, Martínez-Cruz B, Cheng JY, Prieto P, Quesada V, Quilez J, Li G, García F, Rubio-Camarillo M, Frias L, Ribeca P, Capella-Gutiérrez S, Rodríguez JM, Câmara F, Lowy E, Cozzuto L, Erb I, Tress ML, Rodriguez-Ales JL, Ruiz-Orera J, Reverter F, Casas-Marce M, Soriano L, Arango JR, Derdak S, Galán B, Blanc J, Gut M, Lorente-Galdos B, Andrés-Nieto M, López-Otín C, Valencia A, Gut I, García JL, Guigó R, Murphy WJ, Ruiz-Herrera A, Marques-Bonet T, Roma G, Notredame C, Mailund T, Albà MM, Gabaldón T, Alioto T, Godoy JA. Extreme genomic erosion after recurrent demographic bottlenecks in the highly endangered Iberian lynx. Genome Biol 2016; 17:251. [PMID: 27964752 PMCID: PMC5155386 DOI: 10.1186/s13059-016-1090-1] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Accepted: 10/25/2016] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Genomic studies of endangered species provide insights into their evolution and demographic history, reveal patterns of genomic erosion that might limit their viability, and offer tools for their effective conservation. The Iberian lynx (Lynx pardinus) is the most endangered felid and a unique example of a species on the brink of extinction. RESULTS We generate the first annotated draft of the Iberian lynx genome and carry out genome-based analyses of lynx demography, evolution, and population genetics. We identify a series of severe population bottlenecks in the history of the Iberian lynx that predate its known demographic decline during the 20th century and have greatly impacted its genome evolution. We observe drastically reduced rates of weak-to-strong substitutions associated with GC-biased gene conversion and increased rates of fixation of transposable elements. We also find multiple signatures of genetic erosion in the two remnant Iberian lynx populations, including a high frequency of potentially deleterious variants and substitutions, as well as the lowest genome-wide genetic diversity reported so far in any species. CONCLUSIONS The genomic features observed in the Iberian lynx genome may hamper short- and long-term viability through reduced fitness and adaptive potential. The knowledge and resources developed in this study will boost the research on felid evolution and conservation genomics and will benefit the ongoing conservation and management of this emblematic species.
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Affiliation(s)
- Federico Abascal
- Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
| | - André Corvelo
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Fernando Cruz
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
- Department of Integrative Ecology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), C/ Americo Vespucio, s/n, 41092, Sevilla, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - José L Villanueva-Cañas
- Evolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Anna Vlasova
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Marina Marcet-Houben
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Begoña Martínez-Cruz
- Department of Integrative Ecology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), C/ Americo Vespucio, s/n, 41092, Sevilla, Spain
| | - Jade Yu Cheng
- Bioinformatics Research Centre, Aarhus University, C.F. Møllers Allé 8, 8000, Aarhus, Denmark
| | - Pablo Prieto
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Víctor Quesada
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006, Oviedo, Spain
| | - Javier Quilez
- Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Doctor Aiguader, 88, 08003, Barcelona, Spain
| | - Gang Li
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine, Texas A&M University, College Station, TX, 77843, USA
| | - Francisca García
- Servei de Cultius Cel.lulars (SCC, SCAC), Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Miriam Rubio-Camarillo
- Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
| | - Leonor Frias
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Paolo Ribeca
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Salvador Capella-Gutiérrez
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - José M Rodríguez
- Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
- National Bioinformatics Institute (INB), Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
| | - Francisco Câmara
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Ernesto Lowy
- Bioinformatics Core Facility, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Luca Cozzuto
- Bioinformatics Core Facility, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Ionas Erb
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Michael L Tress
- Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
| | - Jose L Rodriguez-Ales
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Jorge Ruiz-Orera
- Evolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Ferran Reverter
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Mireia Casas-Marce
- Department of Integrative Ecology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), C/ Americo Vespucio, s/n, 41092, Sevilla, Spain
| | - Laura Soriano
- Department of Integrative Ecology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), C/ Americo Vespucio, s/n, 41092, Sevilla, Spain
| | - Javier R Arango
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006, Oviedo, Spain
| | - Sophia Derdak
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Beatriz Galán
- Department of Environmental Biology, Center for Biological Research (CIB), Spanish National Research Council (CSIC), Ramiro de Maeztu 9, 28040, Madrid, Spain
| | - Julie Blanc
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Marta Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - Belen Lorente-Galdos
- Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Doctor Aiguader, 88, 08003, Barcelona, Spain
| | - Marta Andrés-Nieto
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Spain
| | - Carlos López-Otín
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, 33006, Oviedo, Spain
| | - Alfonso Valencia
- Structural Biology and Biocomputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
- National Bioinformatics Institute (INB), Spanish National Cancer Research Centre (CNIO), Madrid, 28029, Spain
| | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
| | - José L García
- Department of Environmental Biology, Center for Biological Research (CIB), Spanish National Research Council (CSIC), Ramiro de Maeztu 9, 28040, Madrid, Spain
| | - Roderic Guigó
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Computational Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - William J Murphy
- Department of Veterinary Integrative Biosciences, College of Veterinary Medicine, Texas A&M University, College Station, TX, 77843, USA
| | - Aurora Ruiz-Herrera
- Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Spain
- Departament de Biologia Cel.lular, Fisiologia i Immunologia, Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Spain
| | - Tomas Marques-Bonet
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
- Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, PRBB, Doctor Aiguader, 88, 08003, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain
| | - Guglielmo Roma
- Bioinformatics Core Facility, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Cedric Notredame
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Thomas Mailund
- Bioinformatics Research Centre, Aarhus University, C.F. Møllers Allé 8, 8000, Aarhus, Denmark
| | - M Mar Albà
- Evolutionary Genomics Group, Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain
| | - Tyler Alioto
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 4, 08028, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - José A Godoy
- Department of Integrative Ecology, Doñana Biological Station (EBD), Spanish National Research Council (CSIC), C/ Americo Vespucio, s/n, 41092, Sevilla, Spain.
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31
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Sebé-Pedrós A, Peña MI, Capella-Gutiérrez S, Antó M, Gabaldón T, Ruiz-Trillo I, Sabidó E. High-Throughput Proteomics Reveals the Unicellular Roots of Animal Phosphosignaling and Cell Differentiation. Dev Cell 2016; 39:186-197. [PMID: 27746046 DOI: 10.1016/j.devcel.2016.09.019] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Revised: 07/17/2016] [Accepted: 09/16/2016] [Indexed: 10/20/2022]
Abstract
Cell-specific regulation of protein levels and activity is essential for the distribution of functions among multiple cell types in animals. The finding that many genes involved in these regulatory processes have a premetazoan origin raises the intriguing possibility that the mechanisms required for spatially regulated cell differentiation evolved prior to the appearance of animals. Here, we use high-throughput proteomics in Capsaspora owczarzaki, a close unicellular relative of animals, to characterize the dynamic proteome and phosphoproteome profiles of three temporally distinct cell types in this premetazoan species. We show that life-cycle transitions are linked to extensive proteome and phosphoproteome remodeling and that they affect key genes involved in animal multicellularity, such as transcription factors and tyrosine kinases. The observation of shared features between Capsaspora and metazoans indicates that elaborate and conserved phosphosignaling and proteome regulation supported temporal cell-type differentiation in the unicellular ancestor of animals.
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Affiliation(s)
- Arnau Sebé-Pedrós
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain
| | - Marcia Ivonne Peña
- Proteomics Unit, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Salvador Capella-Gutiérrez
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003 Barcelona, Spain; CBS Fungal Biodiversity Centre, Uppsalalaan 8, 3584 LT Utrecht, the Netherlands
| | - Meritxell Antó
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain
| | - Toni Gabaldón
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003 Barcelona, Spain; ICREA, Pg. Lluis Companys 23, 08010 Barcelona, Spain
| | - Iñaki Ruiz-Trillo
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain; ICREA, Pg. Lluis Companys 23, 08010 Barcelona, Spain; Departament de Genètica, Microbilogia i Estadística, Universitat de Barcelona, Avinguda Diagonal 643, 08028 Barcelona, Spain.
| | - Eduard Sabidó
- Proteomics Unit, Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003 Barcelona, Spain.
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32
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DeBlasio DF, Wisecaver JH. SICLE: a high-throughput tool for extracting evolutionary relationships from phylogenetic trees. PeerJ 2016; 4:e2359. [PMID: 27635331 PMCID: PMC5012314 DOI: 10.7717/peerj.2359] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 07/23/2016] [Indexed: 11/25/2022] Open
Abstract
We present the phylogeny analysis software SICLE (Sister Clade Extractor), an easy-to-use, high-throughput tool to describe the nearest neighbors to a node of interest in a phylogenetic tree as well as the support value for the relationship. The application is a command line utility that can be embedded into a phylogenetic analysis pipeline or can be used as a subroutine within another C++ program. As a test case, we applied this new tool to the published phylome of Salinibacter ruber, a species of halophilic Bacteriodetes, identifying 13 unique sister relationships to S. ruber across the 4,589 gene phylogenies. S. ruber grouped with bacteria, most often other Bacteriodetes, in the majority of phylogenies, but 91 phylogenies showed a branch-supported sister association between S. ruber and Archaea, an evolutionarily intriguing relationship indicative of horizontal gene transfer. This test case demonstrates how SICLE makes it possible to summarize the phylogenetic information produced by automated phylogenetic pipelines to rapidly identify and quantify the possible evolutionary relationships that merit further investigation. SICLE is available for free for noncommercial use at http://eebweb.arizona.edu/sicle/.
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Affiliation(s)
- Dan F DeBlasio
- Department of Computer Science, University of Arizona , Tucson , AZ , United States
| | - Jennifer H Wisecaver
- Department of Biological Sciences, Vanderbilt University, Nashville, TN, United States; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States
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33
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Noutahi E, Semeria M, Lafond M, Seguin J, Boussau B, Guéguen L, El-Mabrouk N, Tannier E. Efficient Gene Tree Correction Guided by Genome Evolution. PLoS One 2016; 11:e0159559. [PMID: 27513924 PMCID: PMC4981423 DOI: 10.1371/journal.pone.0159559] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Accepted: 07/04/2016] [Indexed: 12/31/2022] Open
Abstract
MOTIVATIONS Gene trees inferred solely from multiple alignments of homologous sequences often contain weakly supported and uncertain branches. Information for their full resolution may lie in the dependency between gene families and their genomic context. Integrative methods, using species tree information in addition to sequence information, often rely on a computationally intensive tree space search which forecloses an application to large genomic databases. RESULTS We propose a new method, called ProfileNJ, that takes a gene tree with statistical supports on its branches, and corrects its weakly supported parts by using a combination of information from a species tree and a distance matrix. Its low running time enabled us to use it on the whole Ensembl Compara database, for which we propose an alternative, arguably more plausible set of gene trees. This allowed us to perform a genome-wide analysis of duplication and loss patterns on the history of 63 eukaryote species, and predict ancestral gene content and order for all ancestors along the phylogeny. AVAILABILITY A web interface called RefineTree, including ProfileNJ as well as a other gene tree correction methods, which we also test on the Ensembl gene families, is available at: http://www-ens.iro.umontreal.ca/~adbit/polytomysolver.html. The code of ProfileNJ as well as the set of gene trees corrected by ProfileNJ from Ensembl Compara version 73 families are also made available.
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Affiliation(s)
- Emmanuel Noutahi
- Département d’Informatique (DIRO), Université de Montréal, H3C3J7 Montréal, Canada
| | - Magali Semeria
- LBBE, UMR CNRS 5558, Université de Lyon 1, F-69622 Villeurbanne, France
| | - Manuel Lafond
- Département d’Informatique (DIRO), Université de Montréal, H3C3J7 Montréal, Canada
| | - Jonathan Seguin
- Département d’Informatique (DIRO), Université de Montréal, H3C3J7 Montréal, Canada
| | - Bastien Boussau
- LBBE, UMR CNRS 5558, Université de Lyon 1, F-69622 Villeurbanne, France
| | - Laurent Guéguen
- LBBE, UMR CNRS 5558, Université de Lyon 1, F-69622 Villeurbanne, France
| | - Nadia El-Mabrouk
- Département d’Informatique (DIRO), Université de Montréal, H3C3J7 Montréal, Canada
| | - Eric Tannier
- LBBE, UMR CNRS 5558, Université de Lyon 1, F-69622 Villeurbanne, France
- INRIA Grenoble Rhône-Alpes, F-38334 Montbonnot, France
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Saber MM, Adeyemi Babarinde I, Hettiarachchi N, Saitou N. Emergence and Evolution of Hominidae-Specific Coding and Noncoding Genomic Sequences. Genome Biol Evol 2016; 8:2076-92. [PMID: 27289096 PMCID: PMC4987104 DOI: 10.1093/gbe/evw132] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Family Hominidae, which includes humans and great apes, is recognized for unique complex social behavior and intellectual abilities. Despite the increasing genome data, however, the genomic origin of its phenotypic uniqueness has remained elusive. Clade-specific genes and highly conserved noncoding sequences (HCNSs) are among the high-potential evolutionary candidates involved in driving clade-specific characters and phenotypes. On this premise, we analyzed whole genome sequences along with gene orthology data retrieved from major DNA databases to find Hominidae-specific (HS) genes and HCNSs. We discovered that Down syndrome critical region 4 (DSCR4) is the only experimentally verified gene uniquely present in Hominidae. DSCR4 has no structural homology to any known protein and was inferred to have emerged in several steps through LTR/ERV1, LTR/ERVL retrotransposition, and transversion. Using the genomic distance as neutral evolution threshold, we identified 1,658 HS HCNSs. Polymorphism coverage and derived allele frequency analysis of HS HCNSs showed that these HCNSs are under purifying selection, indicating that they may harbor important functions. They are overrepresented in promoters/untranslated regions, in close proximity of genes involved in sensory perception of sound and developmental process, and also showed a significantly lower nucleosome occupancy probability. Interestingly, many ancestral sequences of the HS HCNSs showed very high evolutionary rates. This suggests that new functions emerged through some kind of positive selection, and then purifying selection started to operate to keep these functions.
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Affiliation(s)
- Morteza Mahmoudi Saber
- Department of Biological Sciences, Graduate School of Science, University of Tokyo Division of Population Genetics, National Institute of Genetics, Mishima, Japan
| | - Isaac Adeyemi Babarinde
- Division of Population Genetics, National Institute of Genetics, Mishima, Japan Department of Genetics, School of Life Science, Graduate University for Advanced Studies (SOKENDAI), Mishima, Japan
| | - Nilmini Hettiarachchi
- Division of Population Genetics, National Institute of Genetics, Mishima, Japan Department of Genetics, School of Life Science, Graduate University for Advanced Studies (SOKENDAI), Mishima, Japan
| | - Naruya Saitou
- Department of Biological Sciences, Graduate School of Science, University of Tokyo Division of Population Genetics, National Institute of Genetics, Mishima, Japan Department of Genetics, School of Life Science, Graduate University for Advanced Studies (SOKENDAI), Mishima, Japan
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Mariotti M, Lobanov AV, Manta B, Santesmasses D, Bofill A, Guigó R, Gabaldón T, Gladyshev VN. Lokiarchaeota Marks the Transition between the Archaeal and Eukaryotic Selenocysteine Encoding Systems. Mol Biol Evol 2016; 33:2441-53. [PMID: 27413050 PMCID: PMC4989117 DOI: 10.1093/molbev/msw122] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Selenocysteine (Sec) is the 21st amino acid in the genetic code, inserted in response to UGA codons with the help of RNA structures, the SEC Insertion Sequence (SECIS) elements. The three domains of life feature distinct strategies for Sec insertion in proteins and its utilization. While bacteria and archaea possess similar sets of selenoproteins, Sec biosynthesis is more similar among archaea and eukaryotes. However, SECIS elements are completely different in the three domains of life. Here, we analyze the archaeon Lokiarchaeota that resolves the relationships among Sec insertion systems. This organism has selenoproteins representing five protein families, three of which have multiple Sec residues. Remarkably, these archaeal selenoprotein genes possess conserved RNA structures that strongly resemble the eukaryotic SECIS element, including key eukaryotic protein-binding sites. These structures also share similarity with the SECIS element in archaeal selenoprotein VhuD, suggesting a relation of direct descent. These results identify Lokiarchaeota as an intermediate form between the archaeal and eukaryotic Sec-encoding systems and clarify the evolution of the Sec insertion system.
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Affiliation(s)
- Marco Mariotti
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF); and Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Alexei V Lobanov
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Bruno Manta
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Didac Santesmasses
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF); and Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Andreu Bofill
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF); and Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Roderic Guigó
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF); and Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF); and Institut Hospital del Mar d'Investigacions Mèdiques (IMIM), Barcelona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Vadim N Gladyshev
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
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Pan ST, Xue D, Li ZL, Zhou ZW, He ZX, Yang Y, Yang T, Qiu JX, Zhou SF. Computational Identification of the Paralogs and Orthologs of Human Cytochrome P450 Superfamily and the Implication in Drug Discovery. Int J Mol Sci 2016; 17:E1020. [PMID: 27367670 PMCID: PMC4964396 DOI: 10.3390/ijms17071020] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 04/02/2016] [Accepted: 06/07/2016] [Indexed: 12/31/2022] Open
Abstract
The human cytochrome P450 (CYP) superfamily consisting of 57 functional genes is the most important group of Phase I drug metabolizing enzymes that oxidize a large number of xenobiotics and endogenous compounds, including therapeutic drugs and environmental toxicants. The CYP superfamily has been shown to expand itself through gene duplication, and some of them become pseudogenes due to gene mutations. Orthologs and paralogs are homologous genes resulting from speciation or duplication, respectively. To explore the evolutionary and functional relationships of human CYPs, we conducted this bioinformatic study to identify their corresponding paralogs, homologs, and orthologs. The functional implications and implications in drug discovery and evolutionary biology were then discussed. GeneCards and Ensembl were used to identify the paralogs of human CYPs. We have used a panel of online databases to identify the orthologs of human CYP genes: NCBI, Ensembl Compara, GeneCards, OMA ("Orthologous MAtrix") Browser, PATHER, TreeFam, EggNOG, and Roundup. The results show that each human CYP has various numbers of paralogs and orthologs using GeneCards and Ensembl. For example, the paralogs of CYP2A6 include CYP2A7, 2A13, 2B6, 2C8, 2C9, 2C18, 2C19, 2D6, 2E1, 2F1, 2J2, 2R1, 2S1, 2U1, and 2W1; CYP11A1 has 6 paralogs including CYP11B1, 11B2, 24A1, 27A1, 27B1, and 27C1; CYP51A1 has only three paralogs: CYP26A1, 26B1, and 26C1; while CYP20A1 has no paralog. The majority of human CYPs are well conserved from plants, amphibians, fishes, or mammals to humans due to their important functions in physiology and xenobiotic disposition. The data from different approaches are also cross-validated and validated when experimental data are available. These findings facilitate our understanding of the evolutionary relationships and functional implications of the human CYP superfamily in drug discovery.
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Affiliation(s)
- Shu-Ting Pan
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Nanchang University, Nanchang 330003, China.
| | - Danfeng Xue
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Nanchang University, Nanchang 330003, China.
| | - Zhi-Ling Li
- Department of Pharmacy, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai 200040, China.
| | - Zhi-Wei Zhou
- Department of Pharmaceutical Sciences, School of Pharmacy, Texas Tech University Health Sciences Center, Amarillo, TX 79106, USA.
| | - Zhi-Xu He
- Guizhou Provincial Key Laboratory for Regenerative Medicine, Stem Cell and Tissue Engineering Research Center & Sino-US Joint Laboratory for Medical Sciences, Guizhou Medical University, Guiyang 550004, China.
| | - Yinxue Yang
- Department of Colorectal Surgery, General Hospital of Ningxia Medical University, Yinchuan 750004, China.
| | - Tianxin Yang
- Department of Internal Medicine, University of Utah and Salt Lake Veterans Affairs Medical Center, Salt Lake City, UT 84132, USA.
| | - Jia-Xuan Qiu
- Department of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Nanchang University, Nanchang 330003, China.
| | - Shu-Feng Zhou
- Department of Chemical and Pharmaceutical Engineering, College of Chemical Engineering, Huaqiao University, Xiamen 361021, Fujian, China.
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Lafond M, Dondi R, El-Mabrouk N. The link between orthology relations and gene trees: a correction perspective. Algorithms Mol Biol 2016; 11:4. [PMID: 27087831 PMCID: PMC4833969 DOI: 10.1186/s13015-016-0067-7] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Accepted: 03/31/2016] [Indexed: 12/31/2022] Open
Abstract
Background While tree-oriented methods for inferring orthology and paralogy relations between genes are based on reconciling a gene tree with a species tree, many tree-free methods are also available (usually based on sequence similarity). Recently, the link between orthology relations and gene trees has been formally considered from the perspective of reconstructing phylogenies from orthology relations. In this paper, we consider this link from a correction point of view. Indeed, a gene tree induces a set of relations, but the converse is not always true: a set of relations is not necessarily in agreement with any gene tree. A natural question is thus how to minimally correct an infeasible set of relations. Another natural question, given a gene tree and a set of relations, is how to minimally correct a gene tree so that the resulting gene tree fits the set of relations. Results We consider four variants of relation and gene tree correction problems, and provide hardness results for all of them. More specifically, we show that it is NP-Hard to edit a minimum of set of relations to make them consistent with a given species tree. We also show that the problem of finding a maximum subset of genes that share consistent relations is hard to approximate. We then demonstrate that editing a gene tree to satisfy a given set of relations in a minimum way is NP-Hard, where “minimum” refers either to the number of modified relations depicted by the gene tree or the number of clades that are lost. We also discuss some of the algorithmic perspectives given these hardness results.
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Figueras A, Robledo D, Corvelo A, Hermida M, Pereiro P, Rubiolo JA, Gómez-Garrido J, Carreté L, Bello X, Gut M, Gut IG, Marcet-Houben M, Forn-Cuní G, Galán B, García JL, Abal-Fabeiro JL, Pardo BG, Taboada X, Fernández C, Vlasova A, Hermoso-Pulido A, Guigó R, Álvarez-Dios JA, Gómez-Tato A, Viñas A, Maside X, Gabaldón T, Novoa B, Bouza C, Alioto T, Martínez P. Whole genome sequencing of turbot (Scophthalmus maximus; Pleuronectiformes): a fish adapted to demersal life. DNA Res 2016; 23:181-92. [PMID: 26951068 PMCID: PMC4909306 DOI: 10.1093/dnares/dsw007] [Citation(s) in RCA: 96] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 02/03/2016] [Indexed: 01/25/2023] Open
Abstract
The turbot is a flatfish (Pleuronectiformes) with increasing commercial value, which has prompted active genomic research aimed at more efficient selection. Here we present the sequence and annotation of the turbot genome, which represents a milestone for both boosting breeding programmes and ascertaining the origin and diversification of flatfish. We compare the turbot genome with model fish genomes to investigate teleost chromosome evolution. We observe a conserved macrosyntenic pattern within Percomorpha and identify large syntenic blocks within the turbot genome related to the teleost genome duplication. We identify gene family expansions and positive selection of genes associated with vision and metabolism of membrane lipids, which suggests adaptation to demersal lifestyle and to cold temperatures, respectively. Our data indicate a quick evolution and diversification of flatfish to adapt to benthic life and provide clues for understanding their controversial origin. Moreover, we investigate the genomic architecture of growth, sex determination and disease resistance, key traits for understanding local adaptation and boosting turbot production, by mapping candidate genes and previously reported quantitative trait loci. The genomic architecture of these productive traits has allowed the identification of candidate genes and enriched pathways that may represent useful information for future marker-assisted selection in turbot.
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Affiliation(s)
- Antonio Figueras
- Instituto de Investigaciones Marinas (IIM), Consejo Superior de Investigaciones Científicas (CSIC), Vigo 36208, Spain
| | - Diego Robledo
- Departamento de Xenética, Facultade de Bioloxía (CIBUS), Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
| | - André Corvelo
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain New York Genome Center, 101 Avenue of the Americas, New York, NY 10013, USA
| | - Miguel Hermida
- Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain
| | - Patricia Pereiro
- Instituto de Investigaciones Marinas (IIM), Consejo Superior de Investigaciones Científicas (CSIC), Vigo 36208, Spain
| | - Juan A Rubiolo
- Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain
| | - Jèssica Gómez-Garrido
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Laia Carreté
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Xabier Bello
- Departamento de Anatomía Patolóxica e Ciencias Forenses, Grupo de Medicina Xenómica, CIMUS, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain Xenómica Comparada de Parasitos Humanos, Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela 15706, Spain
| | - Marta Gut
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Ivo Glynne Gut
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Marina Marcet-Houben
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Gabriel Forn-Cuní
- Instituto de Investigaciones Marinas (IIM), Consejo Superior de Investigaciones Científicas (CSIC), Vigo 36208, Spain
| | - Beatriz Galán
- Centro de Investigaciones Biológicas (CIB), Consejo Superior de Investigaciones Científicas, Madrid 28040, Spain
| | - José Luis García
- Centro de Investigaciones Biológicas (CIB), Consejo Superior de Investigaciones Científicas, Madrid 28040, Spain
| | - José Luis Abal-Fabeiro
- Departamento de Anatomía Patolóxica e Ciencias Forenses, Grupo de Medicina Xenómica, CIMUS, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain Xenómica Comparada de Parasitos Humanos, Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela 15706, Spain
| | - Belen G Pardo
- Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain
| | - Xoana Taboada
- Departamento de Xenética, Facultade de Bioloxía (CIBUS), Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
| | - Carlos Fernández
- Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain
| | - Anna Vlasova
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Antonio Hermoso-Pulido
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Roderic Guigó
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - José Antonio Álvarez-Dios
- Departamento de Matemática Aplicada, Facultade de Matemáticas, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Antonio Gómez-Tato
- Departamento de Xeometría e Topoloxía, Facultade de Matemáticas, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Ana Viñas
- Departamento de Xenética, Facultade de Bioloxía (CIBUS), Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain
| | - Xulio Maside
- Departamento de Anatomía Patolóxica e Ciencias Forenses, Grupo de Medicina Xenómica, CIMUS, Universidade de Santiago de Compostela, Santiago de Compostela 15782, Spain Xenómica Comparada de Parasitos Humanos, Instituto de Investigación Sanitaria de Santiago (IDIS), Santiago de Compostela 15706, Spain
| | - Toni Gabaldón
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain
| | - Beatriz Novoa
- Instituto de Investigaciones Marinas (IIM), Consejo Superior de Investigaciones Científicas (CSIC), Vigo 36208, Spain
| | - Carmen Bouza
- Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain
| | - Tyler Alioto
- Centre Nacional d'Anàlisi Genòmica (CNAG-CRG), Centre de Regulació Genómica, Parc Científic de Barcelona, Barcelona 08028, Spain
| | - Paulino Martínez
- Departamento de Xenética, Facultade de Veterinaria, Universidade de Santiago de Compostela, Lugo 27002, Spain
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Pittis AA, Gabaldón T. Late acquisition of mitochondria by a host with chimaeric prokaryotic ancestry. Nature 2016; 531:101-4. [PMID: 26840490 PMCID: PMC4780264 DOI: 10.1038/nature16941] [Citation(s) in RCA: 149] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 12/21/2015] [Indexed: 01/30/2023]
Abstract
The origin of eukaryotes stands as a major conundrum in biology. Current evidence indicates that the last eukaryotic common ancestor already possessed many eukaryotic hallmarks, including a complex subcellular organization. In addition, the lack of evolutionary intermediates challenges the elucidation of the relative order of emergence of eukaryotic traits. Mitochondria are ubiquitous organelles derived from an alphaproteobacterial endosymbiont. Different hypotheses disagree on whether mitochondria were acquired early or late during eukaryogenesis. Similarly, the nature and complexity of the receiving host are debated, with models ranging from a simple prokaryotic host to an already complex proto-eukaryote. Most competing scenarios can be roughly grouped into either mito-early, which consider the driving force of eukaryogenesis to be mitochondrial endosymbiosis into a simple host, or mito-late, which postulate that a significant complexity predated mitochondrial endosymbiosis. Here we provide evidence for late mitochondrial endosymbiosis. We use phylogenomics to directly test whether proto-mitochondrial proteins were acquired earlier or later than other proteins of the last eukaryotic common ancestor. We find that last eukaryotic common ancestor protein families of alphaproteobacterial ancestry and of mitochondrial localization show the shortest phylogenetic distances to their closest prokaryotic relatives, compared with proteins of different prokaryotic origin or cellular localization. Altogether, our results shed new light on a long-standing question and provide compelling support for the late acquisition of mitochondria into a host that already had a proteome of chimaeric phylogenetic origin. We argue that mitochondrial endosymbiosis was one of the ultimate steps in eukaryogenesis and that it provided the definitive selective advantage to mitochondria-bearing eukaryotes over less complex forms.
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Affiliation(s)
- Alexandros A. Pittis
- Bioinformatics and Genomics Programme. Centre for Genomic Regulation (CRG). Dr. Aiguader, 88. 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF). 08003 Barcelona, Spain
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme. Centre for Genomic Regulation (CRG). Dr. Aiguader, 88. 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF). 08003 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain
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Vlasova A, Capella-Gutiérrez S, Rendón-Anaya M, Hernández-Oñate M, Minoche AE, Erb I, Câmara F, Prieto-Barja P, Corvelo A, Sanseverino W, Westergaard G, Dohm JC, Pappas GJ, Saburido-Alvarez S, Kedra D, Gonzalez I, Cozzuto L, Gómez-Garrido J, Aguilar-Morón MA, Andreu N, Aguilar OM, Garcia-Mas J, Zehnsdorf M, Vázquez MP, Delgado-Salinas A, Delaye L, Lowy E, Mentaberry A, Vianello-Brondani RP, García JL, Alioto T, Sánchez F, Himmelbauer H, Santalla M, Notredame C, Gabaldón T, Herrera-Estrella A, Guigó R. Genome and transcriptome analysis of the Mesoamerican common bean and the role of gene duplications in establishing tissue and temporal specialization of genes. Genome Biol 2016; 17:32. [PMID: 26911872 PMCID: PMC4766624 DOI: 10.1186/s13059-016-0883-6] [Citation(s) in RCA: 114] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2015] [Accepted: 01/22/2016] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Legumes are the third largest family of angiosperms and the second most important crop class. Legume genomes have been shaped by extensive large-scale gene duplications, including an approximately 58 million year old whole genome duplication shared by most crop legumes. RESULTS We report the genome and the transcription atlas of coding and non-coding genes of a Mesoamerican genotype of common bean (Phaseolus vulgaris L., BAT93). Using a comprehensive phylogenomics analysis, we assessed the past and recent evolution of common bean, and traced the diversification of patterns of gene expression following duplication. We find that successive rounds of gene duplications in legumes have shaped tissue and developmental expression, leading to increased levels of specialization in larger gene families. We also find that many long non-coding RNAs are preferentially expressed in germ-line-related tissues (pods and seeds), suggesting that they play a significant role in fruit development. Our results also suggest that most bean-specific gene family expansions, including resistance gene clusters, predate the split of the Mesoamerican and Andean gene pools. CONCLUSIONS The genome and transcriptome data herein generated for a Mesoamerican genotype represent a counterpart to the genomic resources already available for the Andean gene pool. Altogether, this information will allow the genetic dissection of the characters involved in the domestication and adaptation of the crop, and their further implementation in breeding strategies for this important crop.
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Affiliation(s)
- Anna Vlasova
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Salvador Capella-Gutiérrez
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Yeast and Basidiomycete Research Group, CBS Fungal Biodiversity Centre, Uppsalalaan 8, 3584 LT, Utrecht, The Netherlands
| | - Martha Rendón-Anaya
- Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav-Irapuato, CP 36821, Irapuato, Guanajuato, Mexico
| | - Miguel Hernández-Oñate
- Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav-Irapuato, CP 36821, Irapuato, Guanajuato, Mexico
| | - André E Minoche
- Garvan Institute of Medical Research, 384 Victoria Street, Sydney, NSW, 2010, Australia
| | - Ionas Erb
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Francisco Câmara
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Pablo Prieto-Barja
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - André Corvelo
- New York Genome Center, 101 Avenue of the Americas, New York, NY, 10013, USA
| | - Walter Sanseverino
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - Gastón Westergaard
- Instituto de Agrobiotecnología Rosario (INDEAR), Rosario, Santa Fe, 2000, Argentina
| | - Juliane C Dohm
- Department of Biotechnology, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, 1190, Vienna, Austria
| | - Georgios J Pappas
- Department of Cellular Biology, University of Brasilia, Biological Science Institute, Brasília, DF, 70790-160, Brazil
| | - Soledad Saburido-Alvarez
- Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav-Irapuato, CP 36821, Irapuato, Guanajuato, Mexico
| | - Darek Kedra
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Irene Gonzalez
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Genomics Unit, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - Luca Cozzuto
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Jessica Gómez-Garrido
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - María A Aguilar-Morón
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Genomics Unit, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - Nuria Andreu
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Genomics Unit, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - O Mario Aguilar
- Instituto de Biotecnología y Biología Molecular (IBBM), UNLP-CONICET, 1900, La Plata, Argentina
| | - Jordi Garcia-Mas
- IRTA, Centre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UAB-UB, Campus UAB, 08193 Bellaterra, Barcelona, Catalonia, Spain
| | - Maik Zehnsdorf
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- Genomics Unit, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - Martín P Vázquez
- Instituto de Agrobiotecnología Rosario (INDEAR), Rosario, Santa Fe, 2000, Argentina
| | - Alfonso Delgado-Salinas
- Departamento de Botánica, Instituto de Biología, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico
| | - Luis Delaye
- Departamento de Ingeniería Genética, Unidad Irapuato, Cinvestav, 36821, Irapuato, Guanajuato, Mexico
| | - Ernesto Lowy
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | - Alejandro Mentaberry
- Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (UBA), C1428EGA, Buenos Aires, Argentina
| | | | - José Luís García
- Environmental Biology Department, Centro de Investigaciones Biológicas, (CSIC), 28040, Madrid, Spain
| | - Tyler Alioto
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Federico Sánchez
- Depto. de Biología Molecular de Plantas, Instituto Biotecnología, Universidad Nacional Autónoma de México, 62210, Cuernavaca, Morelos, Mexico
| | - Heinz Himmelbauer
- Department of Biotechnology, University of Natural Resources and Life Sciences (BOKU), Muthgasse 18, 1190, Vienna, Austria
| | - Marta Santalla
- Mision Biológica de Galicia (MBG)-National Spanish Research Council (CSIC), 36080, Pontevedra, Spain
| | - Cedric Notredame
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain
| | - Toni Gabaldón
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain.
| | - Alfredo Herrera-Estrella
- Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav-Irapuato, CP 36821, Irapuato, Guanajuato, Mexico.
| | - Roderic Guigó
- Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Dr. Aiguader 88, 08003, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), Dr. Aiguader 88, 08003, Barcelona, Spain.
- IMIM (Hospital del Mar Medical Research Institute), 08003, Barcelona, Spain.
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Banani H, Marcet-Houben M, Ballester AR, Abbruscato P, González-Candelas L, Gabaldón T, Spadaro D. Genome sequencing and secondary metabolism of the postharvest pathogen Penicillium griseofulvum. BMC Genomics 2016; 17:19. [PMID: 26729047 PMCID: PMC4700700 DOI: 10.1186/s12864-015-2347-x] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 12/21/2015] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Penicillium griseofulvum is associated in stored apples with blue mould, the most important postharvest disease of pome fruit. This pathogen can simultaneously produce both detrimental and beneficial secondary metabolites (SM). In order to gain insight into SM synthesis in P. griseofulvum in vitro and during disease development on apple, we sequenced the genome of P. griseofulvum strain PG3 and analysed important SM clusters. RESULTS PG3 genome sequence (29.3 Mb) shows that P. griseofulvum branched off after the divergence of P. oxalicum but before the divergence of P. chrysogenum. Genome-wide analysis of P. griseofulvum revealed putative gene clusters for patulin, griseofulvin and roquefortine C biosynthesis. Furthermore, we quantified the SM production in vitro and on apples during the course of infection. The expression kinetics of key genes of SM produced in infected apple were examined. We found additional SM clusters, including those potentially responsible for the synthesis of penicillin, yanuthone D, cyclopiazonic acid and we predicted a cluster putatively responsible for the synthesis of chanoclavine I. CONCLUSIONS These findings provide relevant information to understand the molecular basis of SM biosynthesis in P. griseofulvum, to allow further research directed to the overexpression or blocking the synthesis of specific SM.
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Affiliation(s)
- Houda Banani
- DiSAFA - Dept. Agricultural, Forestry and Food Sciences and AGROINNOVA - Centre of Competence for the Innovation in the Agroenvironmental Sector, University of Torino, Largo Paolo Braccini 2, I-10095 Grugliasco, Torino, Italy.
| | - Marina Marcet-Houben
- Bioinformatics and Genomics Programme. Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain.
| | - Ana-Rosa Ballester
- Instituto de Agroquímica y Tecnología de Alimentos (IATA-CSIC), Avda. Agustin Escardino 7, Paterna, Valencia, 46980, Spain.
| | - Pamela Abbruscato
- Bioeconomy Unit, Parco Tecnologico Padano, via Einstein, 26900, Lodi, Italy.
| | - Luis González-Candelas
- Instituto de Agroquímica y Tecnología de Alimentos (IATA-CSIC), Avda. Agustin Escardino 7, Paterna, Valencia, 46980, Spain.
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme. Centre for Genomic Regulation (CRG), Dr. Aiguader 88, 08003, Barcelona, Spain.
- Universitat Pompeu Fabra (UPF), 08003, Barcelona, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain.
| | - Davide Spadaro
- DiSAFA - Dept. Agricultural, Forestry and Food Sciences and AGROINNOVA - Centre of Competence for the Innovation in the Agroenvironmental Sector, University of Torino, Largo Paolo Braccini 2, I-10095 Grugliasco, Torino, Italy.
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Julca I, Droby S, Sela N, Marcet-Houben M, Gabaldón T. Contrasting Genomic Diversity in Two Closely Related Postharvest Pathogens: Penicillium digitatum and Penicillium expansum. Genome Biol Evol 2015; 8:218-27. [PMID: 26672008 PMCID: PMC4758248 DOI: 10.1093/gbe/evv252] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Penicillium digitatum and Penicillium expansum are two closely related fungal plant pathogens causing green and blue mold in harvested fruit, respectively. The two species differ in their host specificity, being P. digitatum restricted to citrus fruits and P. expansum able to infect a wide range of fruits after harvest. Although host-specific Penicillium species have been found to have a smaller gene content, it is so far unclear whether these different host specificities impact genome variation at the intraspecific level. Here we assessed genome variation across four P. digitatum and seven P. expansum isolates from geographically distant regions. Our results show very high similarity (average 0.06 SNPs [single nucleotide polymorphism] per kb) between globally distributed isolates of P. digitatum pointing to a recent expansion of a single lineage. This low level of genetic variation found in our samples contrasts with the higher genetic variability observed in the similarly distributed P. expansum isolates (2.44 SNPs per kb). Patterns of polymorphism in P. expansum indicate that recombination exists between genetically diverged strains. Consistent with the existence of sexual recombination and heterothallism, which was unknown for this species, we identified the two alternative mating types in different P. expansum isolates. Patterns of polymorphism in P. digitatum indicate a recent clonal population expansion of a single lineage that has reached worldwide distribution. We suggest that the contrasting patterns of genomic variation between the two species reflect underlying differences in population dynamics related with host specificities and related agricultural practices. It should be noted, however, that this results should be confirmed with a larger sampling of strains, as new strains may broaden the diversity so far found in P. digitatum.
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Affiliation(s)
- Irene Julca
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF), Barcelona, Spain Universitat Autònoma De Barcelona, Spain
| | - Samir Droby
- Department of Postharvest Science, ARO, the Volcani Center, Bet Dagan, Israel
| | - Noa Sela
- Department of Plant Pathology and Weed Research, The Volcani Center, Bet Dagan, Israel
| | - Marina Marcet-Houben
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Toni Gabaldón
- Bioinformatics and Genomics Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain Universitat Pompeu Fabra (UPF), Barcelona, Spain Institució Catalana De Recerca I Estudis Avançats (ICREA), Barcelona, Spain
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43
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Marcet-Houben M, Gabaldón T. Horizontal acquisition of toxic alkaloid synthesis in a clade of plant associated fungi. Fungal Genet Biol 2015; 86:71-80. [PMID: 26688468 PMCID: PMC4712825 DOI: 10.1016/j.fgb.2015.12.006] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2015] [Revised: 12/03/2015] [Accepted: 12/09/2015] [Indexed: 01/06/2023]
Abstract
Loline and ergot alkaloids are fundamental for Clavicipitaceae. These secondary metabolism clusters are found in other, far related, species. Phylogenetics establish a close relationship between clusters of different species. Detection of large amounts of gene loss supports the HGT events.
Clavicipitaceae is a fungal group that comprises species that closely interact with plants as pathogens, parasites or symbionts. A key factor in these interactions is the ability of these fungi to synthesize toxic alkaloid compounds that contribute to the protection of the plant host against herbivores. Some of these compounds such as ergot alkaloids are toxic to humans and have caused important epidemics throughout history. The gene clusters encoding the proteins responsible for the synthesis of ergot alkaloids and lolines in Clavicipitaceae have been elucidated. Notably, homologs to these gene clusters can be found in distantly related species such as Aspergillus fumigatus and Penicillium expansum, which diverged from Clavicipitaceae more than 400 million years ago. We here use a phylogenetic approach to analyze the evolution of these gene clusters. We found that the gene clusters conferring the ability to synthesize ergot alkaloids and loline emerged first in Eurotiomycetes and were then likely transferred horizontally to Clavicipitaceae. Horizontal gene transfer is known to play a role in shaping the distribution of secondary metabolism clusters across distantly related fungal species. We propose that HGT events have played an important role in the capability of Clavicipitaceae to produce two key secondary metabolites that have enhanced the ability of these species to protect their plant hosts, therefore favoring their interactions.
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Affiliation(s)
- Marina Marcet-Houben
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader, 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Dr. Aiguader, 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010 Barcelona, Spain.
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Genome of Rhodnius prolixus, an insect vector of Chagas disease, reveals unique adaptations to hematophagy and parasite infection. Proc Natl Acad Sci U S A 2015; 112:14936-41. [PMID: 26627243 DOI: 10.1073/pnas.1506226112] [Citation(s) in RCA: 241] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Rhodnius prolixus not only has served as a model organism for the study of insect physiology, but also is a major vector of Chagas disease, an illness that affects approximately seven million people worldwide. We sequenced the genome of R. prolixus, generated assembled sequences covering 95% of the genome (∼ 702 Mb), including 15,456 putative protein-coding genes, and completed comprehensive genomic analyses of this obligate blood-feeding insect. Although immune-deficiency (IMD)-mediated immune responses were observed, R. prolixus putatively lacks key components of the IMD pathway, suggesting a reorganization of the canonical immune signaling network. Although both Toll and IMD effectors controlled intestinal microbiota, neither affected Trypanosoma cruzi, the causal agent of Chagas disease, implying the existence of evasion or tolerance mechanisms. R. prolixus has experienced an extensive loss of selenoprotein genes, with its repertoire reduced to only two proteins, one of which is a selenocysteine-based glutathione peroxidase, the first found in insects. The genome contained actively transcribed, horizontally transferred genes from Wolbachia sp., which showed evidence of codon use evolution toward the insect use pattern. Comparative protein analyses revealed many lineage-specific expansions and putative gene absences in R. prolixus, including tandem expansions of genes related to chemoreception, feeding, and digestion that possibly contributed to the evolution of a blood-feeding lifestyle. The genome assembly and these associated analyses provide critical information on the physiology and evolution of this important vector species and should be instrumental for the development of innovative disease control methods.
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Valdivia HO, Scholte LLS, Oliveira G, Gabaldón T, Bartholomeu DC. The Leishmania metaphylome: a comprehensive survey of Leishmania protein phylogenetic relationships. BMC Genomics 2015; 16:887. [PMID: 26518129 PMCID: PMC4628237 DOI: 10.1186/s12864-015-2091-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 10/15/2015] [Indexed: 11/22/2022] Open
Abstract
Background Leishmaniasis is a neglected parasitic disease with diverse clinical manifestations and a complex epidemiology. It has been shown that its parasite-related traits vary between species and that they modulate infectivity, pathogenicity, and virulence. However, understanding of the species-specific adaptations responsible for these features and their evolutionary background is limited. To improve our knowledge regarding the parasite biology and adaptation mechanisms of different Leishmania species, we conducted a proteome-wide phylogenomic analysis to gain insights into Leishmania evolution. Results The analysis of the reconstructed phylomes (totaling 45,918 phylogenies) allowed us to detect genes that are shared in pathogenic Leishmania species, such as calpain-like cysteine peptidases and 3'a2rel-related proteins, or genes that could be associated with visceral or cutaneous development. This analysis also established the phylogenetic relationship of several hypothetical proteins whose roles remain to be characterized. Our findings demonstrated that gene duplication constitutes an important evolutionary force in Leishmania, acting on protein families that mediate host-parasite interactions, such as amastins, GP63 metallopeptidases, cathepsin L-like proteases, and our methods permitted a deeper analysis of their phylogenetic relationships. Conclusions Our results highlight the importance of proteome wide phylogenetic analyses to detect adaptation and evolutionary processes in different organisms and underscore the need to characterize the role of expanded and species-specific proteins in the context of Leishmania evolution by providing a framework for the phylogenetic relationships of Leishmania proteins. Phylogenomic data are publicly available for use through PhylomeDB (http://www.phylomedb.org). Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-2091-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hugo O Valdivia
- Laboratório de Imunologia e Genômica de Parasitos, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Presidente Antonio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil. .,Department of Parasitology, U.S. Naval Medical Research Unit No. 6, Lima, Peru. .,Centro de Investigaciones Tecnológicas, Biomédicas y Medioambientales, Lima, Peru.
| | - Larissa L S Scholte
- Genomics and Computational Biology Group, Centro de Pesquisas René Rachou, Belo Horizonte, Brazil.
| | - Guilherme Oliveira
- Genomics and Computational Biology Group, Centro de Pesquisas René Rachou, Belo Horizonte, Brazil. .,Instituto Tecnológico Vale - ITV, Belém, Brazil.
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain. .,Universitat Pompeu Fabra (UPF), Barcelona, Spain. .,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
| | - Daniella C Bartholomeu
- Laboratório de Imunologia e Genômica de Parasitos, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Av. Presidente Antonio Carlos, 6627 - Pampulha, Belo Horizonte, MG, 31270-901, Brazil. .,Centro de Investigaciones Tecnológicas, Biomédicas y Medioambientales, Lima, Peru.
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Galpert D, del Río S, Herrera F, Ancede-Gallardo E, Antunes A, Agüero-Chapin G. An Effective Big Data Supervised Imbalanced Classification Approach for Ortholog Detection in Related Yeast Species. BIOMED RESEARCH INTERNATIONAL 2015; 2015:748681. [PMID: 26605337 PMCID: PMC4641943 DOI: 10.1155/2015/748681] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 07/26/2015] [Accepted: 08/20/2015] [Indexed: 11/17/2022]
Abstract
Orthology detection requires more effective scaling algorithms. In this paper, a set of gene pair features based on similarity measures (alignment scores, sequence length, gene membership to conserved regions, and physicochemical profiles) are combined in a supervised pairwise ortholog detection approach to improve effectiveness considering low ortholog ratios in relation to the possible pairwise comparison between two genomes. In this scenario, big data supervised classifiers managing imbalance between ortholog and nonortholog pair classes allow for an effective scaling solution built from two genomes and extended to other genome pairs. The supervised approach was compared with RBH, RSD, and OMA algorithms by using the following yeast genome pairs: Saccharomyces cerevisiae-Kluyveromyces lactis, Saccharomyces cerevisiae-Candida glabrata, and Saccharomyces cerevisiae-Schizosaccharomyces pombe as benchmark datasets. Because of the large amount of imbalanced data, the building and testing of the supervised model were only possible by using big data supervised classifiers managing imbalance. Evaluation metrics taking low ortholog ratios into account were applied. From the effectiveness perspective, MapReduce Random Oversampling combined with Spark SVM outperformed RBH, RSD, and OMA, probably because of the consideration of gene pair features beyond alignment similarities combined with the advances in big data supervised classification.
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Affiliation(s)
- Deborah Galpert
- Departamento de Ciencias de la Computación, Universidad Central “Marta Abreu” de Las Villas (UCLV), 54830 Santa Clara, Cuba
| | - Sara del Río
- Department of Computer Science and Artificial Intelligence, Research Center on Information and Communications Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain
| | - Francisco Herrera
- Department of Computer Science and Artificial Intelligence, Research Center on Information and Communications Technology (CITIC-UGR), University of Granada, 18071 Granada, Spain
| | - Evys Ancede-Gallardo
- Centro de Bioactivos Químicos, Universidad Central “Marta Abreu” de Las Villas (UCLV), 54830 Santa Clara, Cuba
| | - Agostinho Antunes
- Centro Interdisciplinar de Investigação Marinha e Ambiental (CIMAR/CIIMAR), Universidade do Porto, Rua dos Bragas 177, 4050-123 Porto, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - Guillermin Agüero-Chapin
- Centro de Bioactivos Químicos, Universidad Central “Marta Abreu” de Las Villas (UCLV), 54830 Santa Clara, Cuba
- Centro Interdisciplinar de Investigação Marinha e Ambiental (CIMAR/CIIMAR), Universidade do Porto, Rua dos Bragas 177, 4050-123 Porto, Portugal
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Lafond M, Ouangraoua A, El-Mabrouk N. Reconstructing a SuperGeneTree minimizing reconciliation. BMC Bioinformatics 2015; 16 Suppl 14:S4. [PMID: 26451911 PMCID: PMC4602317 DOI: 10.1186/1471-2105-16-s14-s4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Combining a set of trees on partial datasets into a single tree is a classical method for inferring large phylogenetic trees. Ideally, the combined tree should display each input partial tree, which is only possible if input trees do not contain contradictory phylogenetic information. The simplest version of the supertree problem is thus to state whether a set of trees is compatible, and if so, construct a tree displaying them all. Classically, supertree methods have been applied to the reconstruction of species trees. Here we rather consider reconstructing a super gene tree in light of a known species tree S. We define the supergenetree problem as finding, among all supertrees displaying a set of input gene trees, one supertree minimizing a reconciliation distance with S. We first show how classical exact methods to the supertree problem can be extended to the supergenetree problem. As all these methods are highly exponential, we also exhibit a natural greedy heuristic for the duplication cost, based on minimizing the set of duplications preceding the first speciation event. We then show that both the supergenetree problem and its restriction to minimizing duplications preceding the first speciation are NP-hard to approximate within a n1-ϵ factor, for any 0 < ϵ < 1. Finally, we show that a restriction of this problem to uniquely labeled speciation gene trees, which is relevant to many biological applications, is also NP-hard. Therefore, we introduce new avenues in the field of supertrees, and set the theoretical basis for the exploration of various algorithmic aspects of the problems.
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Pryszcz LP, Németh T, Saus E, Ksiezopolska E, Hegedűsová E, Nosek J, Wolfe KH, Gacser A, Gabaldón T. The Genomic Aftermath of Hybridization in the Opportunistic Pathogen Candida metapsilosis. PLoS Genet 2015; 11:e1005626. [PMID: 26517373 PMCID: PMC4627764 DOI: 10.1371/journal.pgen.1005626] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2015] [Accepted: 10/05/2015] [Indexed: 01/17/2023] Open
Abstract
Candida metapsilosis is a rarely-isolated, opportunistic pathogen that belongs to a clade of pathogenic yeasts known as the C. parapsilosis sensu lato species complex. To gain insight into the recent evolution of C. metapsilosis and the genetic basis of its virulence, we sequenced the genome of 11 clinical isolates from various locations, which we compared to each other and to the available genomes of the two remaining members of the complex: C. orthopsilosis and C. parapsilosis. Unexpectedly, we found compelling genomic evidence that C. metapsilosis is a highly heterozygous hybrid species, with all sequenced clinical strains resulting from the same past hybridization event involving two parental lineages that were approximately 4.5% divergent in sequence. This result indicates that the parental species are non-pathogenic, but that hybridization between them formed a new opportunistic pathogen, C. metapsilosis, that has achieved a worldwide distribution. We show that these hybrids are diploid and we identified strains carrying loci for both alternative mating types, which supports mating as the initial mechanism for hybrid formation. We trace the aftermath of this hybridization at the genomic level, and reconstruct the evolutionary relationships among the different strains. Recombination and introgression -resulting in loss of heterozygosis- between the two subgenomes have been rampant, and includes the partial overwriting of the MTLa mating locus in all strains. Collectively, our results shed light on the recent genomic evolution within the C. parapsilosis sensu lato complex, and argue for a re-definition of species within this clade, with at least five distinct homozygous lineages, some of which having the ability to form hybrids.
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Affiliation(s)
- Leszek P. Pryszcz
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Tibor Németh
- Department of Microbiology, University of Szeged, Szeged, Hungary
| | - Ester Saus
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Ewa Ksiezopolska
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Eva Hegedűsová
- Department of Biochemistry, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia
| | - Jozef Nosek
- Department of Biochemistry, Faculty of Natural Sciences, Comenius University, Bratislava, Slovakia
| | - Kenneth H. Wolfe
- UCD Conway Institute, School of Medicine & Medical Science, University College Dublin, Dublin, Ireland
| | - Attila Gacser
- Department of Microbiology, University of Szeged, Szeged, Hungary
| | - Toni Gabaldón
- Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
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49
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C5orf30 is a negative regulator of tissue damage in rheumatoid arthritis. Proc Natl Acad Sci U S A 2015; 112:11618-23. [PMID: 26316022 DOI: 10.1073/pnas.1501947112] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
The variant rs26232, in the first intron of the chromosome 5 open reading frame 30 (C5orf30) locus, has recently been associated with both risk of developing rheumatoid arthritis (RA) and severity of tissue damage. The biological activities of human C5orf30 are unknown, and neither the gene nor protein show significant homology to any other characterized human sequences. The C5orf30 gene is present only in vertebrate genomes with a high degree of conservation, implying a central function in these organisms. Here, we report that C5orf30 is highly expressed in the synovium of RA patients compared with control synovial tissue, and that it is predominately expressed by synovial fibroblast (RASF) and macrophages in the lining and sublining layer of the tissue. These cells play a central role in the initiation and perpetuation of RA and are implicated in cartilage destruction. RASFs lacking C5orf30 exhibit increased cell migration and invasion in vitro, and gene profiling following C5orf30 inhibition confirmed up-regulation of genes involved in cell migration, adhesion, angiogenesis, and immune and inflammatory pathways. Importantly, loss of C5orf30 contributes to the pathology of inflammatory arthritis in vivo, because inhibition of C5orf30 in the collagen-induced arthritis model markedly accentuated joint inflammation and tissue damage. Our study reveal C5orf30 to be a previously unidentified negative regulator of tissue damage in RA, and this protein may act by modulating the autoaggressive phenotype that is characteristic of RASFs.
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50
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García-Rodas R, Trevijano-Contador N, Román E, Janbon G, Moyrand F, Pla J, Casadevall A, Zaragoza O. Role of Cln1 during melanization of Cryptococcus neoformans. Front Microbiol 2015; 6:798. [PMID: 26322026 PMCID: PMC4532930 DOI: 10.3389/fmicb.2015.00798] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 07/22/2015] [Indexed: 11/24/2022] Open
Abstract
Cryptococcus neoformans is an opportunistic fungal pathogen that has several well-described virulence determinants. A polysaccharide capsule and the ability to produce melanin are among the most important. Melanization occurs both in vitro, in the presence of catecholamine and indole compounds, and in vivo during the infection. Despite the importance of melanin production for cryptococcal virulence, the component and mechanisms involved in its synthesis have not been fully elucidated. In this work, we describe the role of a G1/S cyclin (Cln1) in the melanization process. Cln1 has evolved specifically with proteins present only in other basidiomycetes. We found that Cln1 is required for the cell wall stability and production of melanin in C. neoformans. Absence of melanization correlated with a defect in the expression of the LAC1 gene. The relation between cell cycle elements and melanization was confirmed by the effect of drugs that cause cell cycle arrest at a specific phase, such as rapamycin. The cln1 mutant was consistently more susceptible to oxidative damage in a medium that induces melanization. Our results strongly suggest a novel and hitherto unrecognized role for C. neoformans Cln1 in the expression of virulence traits.
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Affiliation(s)
- Rocío García-Rodas
- Mycology Reference Laboratory, National Centre for Microbiology, Instituto de Salud Carlos III Majadahonda, Spain
| | - Nuria Trevijano-Contador
- Mycology Reference Laboratory, National Centre for Microbiology, Instituto de Salud Carlos III Majadahonda, Spain
| | - Elvira Román
- Department of Microbiology, Pharmacy Faculty, Complutense University of Madrid Madrid, Spain
| | - Guilhem Janbon
- Unité Biologie et Pathogénicité Fongiques, Institut Pasteur Paris, France
| | - Frédérique Moyrand
- Unité Biologie et Pathogénicité Fongiques, Institut Pasteur Paris, France
| | - Jesús Pla
- Department of Microbiology, Pharmacy Faculty, Complutense University of Madrid Madrid, Spain
| | - Arturo Casadevall
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore MD, USA
| | - Oscar Zaragoza
- Mycology Reference Laboratory, National Centre for Microbiology, Instituto de Salud Carlos III Majadahonda, Spain
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