1
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Li Q, Dou W, Qi J, Qin X, Chen S, He Y. Genomewide analysis of the CIII peroxidase family in sweet orange (Citrus sinensis) and expression profiles induced by Xanthomonas citri subsp. citri and hormones. J Genet 2020. [DOI: 10.1007/s12041-019-1163-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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2
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Mathé C, Fawal N, Roux C, Dunand C. In silico definition of new ligninolytic peroxidase sub-classes in fungi and putative relation to fungal life style. Sci Rep 2019; 9:20373. [PMID: 31889110 PMCID: PMC6937255 DOI: 10.1038/s41598-019-56774-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 12/02/2019] [Indexed: 12/02/2022] Open
Abstract
Ligninolytic peroxidases are microbial enzymes involved in depolymerisation of lignin, a plant cell wall polymer found in land plants. Among fungi, only Dikarya were found to degrade lignin. The increase of available fungal genomes allows performing an expert annotation of lignin-degrading peroxidase encoding sequences with a particular focus on Class II peroxidases (CII Prx). In addition to the previously described LiP, MnP and VP classes, based on sequence similarity, six new sub-classes have been defined: three found in plant pathogen ascomycetes and three in basidiomycetes. The presence of CII Prxs could be related to fungal life style. Typically, necrotrophic or hemibiotrophic fungi, either ascomycetes or basidiomycetes, possess CII Prxs while symbiotic, endophytic or biotrophic fungi do not. CII Prxs from ascomycetes are rarely subjected to duplications unlike those from basidiomycetes, which can form large recent duplicated families. Even if these CII Prxs classes form two well distinct clusters with divergent gene structures (intron numbers and positions), they share the same key catalytic residues suggesting that they evolved independently from similar ancestral sequences with few or no introns. The lack of CII Prxs encoding sequences in early diverging fungi, together with the absence of duplicated class I peroxidase (CcP) in fungi containing CII Prxs, suggests the potential emergence of an ancestral CII Prx sequence from the duplicated CcP after the separation between ascomycetes and basidiomycetes. As some ascomycetes and basidiomycetes did not possess CII Prx, late gene loss could have occurred.
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Affiliation(s)
- Catherine Mathé
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Nizar Fawal
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Christophe Roux
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, Toulouse, France
| | - Christophe Dunand
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, Toulouse, France.
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3
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Savelli B, Li Q, Webber M, Jemmat AM, Robitaille A, Zamocky M, Mathé C, Dunand C. RedoxiBase: A database for ROS homeostasis regulated proteins. Redox Biol 2019; 26:101247. [PMID: 31228650 PMCID: PMC6597783 DOI: 10.1016/j.redox.2019.101247] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 06/05/2019] [Indexed: 11/20/2022] Open
Abstract
We present a new database, specifically devoted to ROS homeostasis regulated proteins. This database replaced our previous database, the PeroxiBase, which was focused only on various peroxidase families. The addition of 20 new protein families related with ROS homeostasis justifies the new name for this more complex and comprehensive database as RedoxiBase. Besides enlarging the focus of the database, new analysis tools and functionalities have been developed and integrated through the web interface, with which the users can now directly access to orthologous sequences and see the chromosomal localization of sequences when available. OrthoMCL tool, completed with a post-treatment process, provides precise predictions of orthologous gene groups for the sequences present in this database. In order to explore and analyse orthogroups results, taxonomic visualization of organisms containing sequence of a specific orthogroup as well as chromosomal distribution of the orthogroup with one or two organisms have been included.
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Affiliation(s)
- Bruno Savelli
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326, Castanet-Tolosan, France.
| | - Qiang Li
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326, Castanet-Tolosan, France; Citrus Research Institute, Southwest University/Chinese Academy of Agricultural Sciences, Beibei, Chongqing, 400712, China
| | - Mark Webber
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326, Castanet-Tolosan, France
| | - Achraf Mohamed Jemmat
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326, Castanet-Tolosan, France; Institute for Botany and Molecular Genetics, Bioeconomy Science Center, RWTH Aachen University, Aachen, Germany
| | - Alexis Robitaille
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326, Castanet-Tolosan, France; International Agency for Research on Cancer, Lyon, France
| | - Marcel Zamocky
- Department of Molecular Evolution & Development University Vienna, Althanstrasse 14, A-1090, Vienna, Austria; Laboratory of Phylogenomic Ecology, Institute of Molecular Biology, Slovak Academy of Sciences, Dubravska cesta 21, SK-84551, Bratislava, Slovakia
| | - Catherine Mathé
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326, Castanet-Tolosan, France
| | - Christophe Dunand
- Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, CNRS, UPS, 24 chemin de Borde Rouge, Auzeville, BP42617, 31326, Castanet-Tolosan, France.
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4
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Cui R, Medeiros T, Willemsen D, Iasi LN, Collier GE, Graef M, Reichard M, Valenzano DR. Relaxed Selection Limits Lifespan by Increasing Mutation Load. Cell 2019; 178:385-399.e20. [DOI: 10.1016/j.cell.2019.06.004] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Revised: 03/18/2019] [Accepted: 06/03/2019] [Indexed: 02/07/2023]
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5
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Almazán A, Ferrández-Roldán A, Albalat R, Cañestro C. Developmental atlas of appendicularian Oikopleura dioica actins provides new insights into the evolution of the notochord and the cardio-paraxial muscle in chordates. Dev Biol 2019; 448:260-270. [DOI: 10.1016/j.ydbio.2018.09.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Revised: 07/13/2018] [Accepted: 09/05/2018] [Indexed: 12/22/2022]
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6
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Martí-Solans J, Belyaeva OV, Torres-Aguila NP, Kedishvili NY, Albalat R, Cañestro C. Coelimination and Survival in Gene Network Evolution: Dismantling the RA-Signaling in a Chordate. Mol Biol Evol 2016; 33:2401-16. [PMID: 27406791 DOI: 10.1093/molbev/msw118] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
The bloom of genomics is revealing gene loss as a pervasive evolutionary force generating genetic diversity that shapes the evolution of species. Outside bacteria and yeast, however, the understanding of the process of gene loss remains elusive, especially in the evolution of animal species. Here, using the dismantling of the retinoic acid metabolic gene network (RA-MGN) in the chordate Oikopleura dioica as a case study, we combine approaches of comparative genomics, phylogenetics, biochemistry, and developmental biology to investigate the mutational robustness associated to biased patterns of gene loss. We demonstrate the absence of alternative pathways for RA-synthesis in O. dioica, which suggests that gene losses of RA-MGN were not compensated by mutational robustness, but occurred in a scenario of regressive evolution. In addition, the lack of drastic phenotypic changes associated to the loss of RA-signaling provides an example of the inverse paradox of Evo-Devo. This work illustrates how the identification of patterns of gene coelimination-in our case five losses (Rdh10, Rdh16, Bco1, Aldh1a, and Cyp26)-is a useful strategy to recognize gene network modules associated to distinct functions. Our work also illustrates how the identification of survival genes helps to recognize neofunctionalization events and ancestral functions. Thus, the survival and extensive duplication of Cco and RdhE2 in O. dioica correlated with the acquisition of complex compartmentalization of expression domains in the digestive system and a process of enzymatic neofunctionalization of the Cco, while the surviving Aldh8 could be related to its ancestral housekeeping role against toxic aldehydes.
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Affiliation(s)
- Josep Martí-Solans
- Departament de Genètica, Microbiologia i Estadística and Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain
| | - Olga V Belyaeva
- Department of Biochemistry and Molecular Genetics, University of Alabama-Birmingham
| | - Nuria P Torres-Aguila
- Departament de Genètica, Microbiologia i Estadística and Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain
| | - Natalia Y Kedishvili
- Department of Biochemistry and Molecular Genetics, University of Alabama-Birmingham
| | - Ricard Albalat
- Departament de Genètica, Microbiologia i Estadística and Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain
| | - Cristian Cañestro
- Departament de Genètica, Microbiologia i Estadística and Institut de Recerca de la Biodiversitat (IRBio), Universitat de Barcelona, Barcelona, Spain
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7
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Watanabe KA, Ma K, Homayouni A, Rushton PJ, Shen QJ. Transcript structure and domain display: a customizable transcript visualization tool. Bioinformatics 2016; 32:2024-5. [PMID: 27153680 DOI: 10.1093/bioinformatics/btw095] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 02/12/2016] [Indexed: 11/14/2022] Open
Abstract
UNLABELLED Transcript Structure and Domain Display (TSDD) is a publicly available, web-based program that provides publication quality images of transcript structures and domains. TSDD is capable of producing transcript structures from GFF/GFF3 and BED files. Alternatively, the GFF files of several model organisms have been pre-loaded so that users only needs to enter the locus IDs of the transcripts to be displayed. Visualization of transcripts provides many benefits to researchers, ranging from evolutionary analysis of DNA-binding domains to predictive function modeling. AVAILABILITY AND IMPLEMENTATION TSDD is freely available for non-commercial users at http://shenlab.sols.unlv.edu/shenlab/software/TSD/transcript_display.html CONTACT : jeffery.shen@unlv.nevada.edu.
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Affiliation(s)
- Kenneth A Watanabe
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Kaiwang Ma
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA School of Medical Technology & Engineering, Henan University of Science & Technology, Luoyang, 471003, China
| | - Arielle Homayouni
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | | | - Qingxi J Shen
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
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8
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Feuda R, Marlétaz F, Bentley MA, Holland PWH. Conservation, Duplication, and Divergence of Five Opsin Genes in Insect Evolution. Genome Biol Evol 2016; 8:579-87. [PMID: 26865071 PMCID: PMC4824169 DOI: 10.1093/gbe/evw015] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Opsin proteins covalently bind to small molecular chromophores and each protein-chromophore complex is sensitive to particular wavelengths of light. Multiple opsins with different wavelength absorbance peaks are required for color vision. Comparing opsin responses is challenging at low light levels, explaining why color vision is often lost in nocturnal species. Here, we investigated opsin evolution in 27 phylogenetically diverse insect species including several transitions between photic niches (nocturnal, diurnal, and crepuscular). We find widespread conservation of five distinct opsin genes, more than commonly considered. These comprise one c-opsin plus four r-opsins (long wavelength sensitive or LWS, blue sensitive, ultra violet [UV] sensitive and the often overlooked Rh7 gene). Several recent opsin gene duplications are also detected. The diversity of opsin genes is consistent with color vision in diurnal, crepuscular, and nocturnal insects. Tests for positive selection in relation to photic niche reveal evidence for adaptive evolution in UV-sensitive opsins in day-flying insects in general, and in LWS opsins of day-flying Lepidoptera specifically.
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Affiliation(s)
- Roberto Feuda
- Department of Zoology, University of Oxford, United Kingdom
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9
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Chorev M, Guy L, Carmel L. JuncDB: an exon-exon junction database. Nucleic Acids Res 2016; 44:D101-9. [PMID: 26519469 PMCID: PMC4702826 DOI: 10.1093/nar/gkv1142] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Revised: 10/14/2015] [Accepted: 10/15/2015] [Indexed: 11/13/2022] Open
Abstract
Intron positions upon the mRNA transcript are sometimes remarkably conserved even across distantly related eukaryotic species. This has made the comparison of intron-exon architectures across orthologous transcripts a very useful tool for studying various evolutionary processes. Moreover, the wide range of functions associated with introns may confer biological meaning to evolutionary changes in gene architectures. Yet, there is currently no database that offers such comparative information. Here, we present JuncDB (http://juncdb.carmelab.huji.ac.il/), an exon-exon junction database dedicated to the comparison of architectures between orthologous transcripts. It covers nearly 40,000 sets of orthologous transcripts spanning 88 eukaryotic species. JuncDB offers a user-friendly interface, access to detailed information, instructive graphical displays of the comparative data and easy ways to download data to a local computer. In addition, JuncDB allows the analysis to be carried out either on specific genes, or at a genome-wide level for any selected group of species.
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Affiliation(s)
- Michal Chorev
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, Faculty of Science, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, Jerusalem 91904, Israel The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem 91904, Israel
| | - Lotem Guy
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, Faculty of Science, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, Jerusalem 91904, Israel The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem 91904, Israel
| | - Liran Carmel
- Department of Genetics, The Alexander Silberman Institute of Life Sciences, Faculty of Science, The Hebrew University of Jerusalem, Edmond J. Safra Campus, Givat Ram, Jerusalem 91904, Israel
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10
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Li Q, Yu H, Cao PB, Fawal N, Mathé C, Azar S, Cassan-Wang H, Myburg AA, Grima-Pettenati J, Marque C, Teulières C, Dunand C. Explosive tandem and segmental duplications of multigenic families in Eucalyptus grandis. Genome Biol Evol 2015; 7:1068-81. [PMID: 25769696 PMCID: PMC4419795 DOI: 10.1093/gbe/evv048] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Plant organisms contain a large number of genes belonging to numerous multigenic families whose evolution size reflects some functional constraints. Sequences from eight multigenic families, involved in biotic and abiotic responses, have been analyzed in Eucalyptus grandis and compared with Arabidopsis thaliana. Two transcription factor families APETALA 2 (AP2)/ethylene responsive factor and GRAS, two auxin transporter families PIN-FORMED and AUX/LAX, two oxidoreductase families (ascorbate peroxidases [APx] and Class III peroxidases [CIII Prx]), and two families of protective molecules late embryogenesis abundant (LEA) and DNAj were annotated in expert and exhaustive manner. Many recent tandem duplications leading to the emergence of species-specific gene clusters and the explosion of the gene numbers have been observed for the AP2, GRAS, LEA, PIN, and CIII Prx in E. grandis, while the APx, the AUX/LAX and DNAj are conserved between species. Although no direct evidence has yet demonstrated the roles of these recent duplicated genes observed in E. grandis, this could indicate their putative implications in the morphological and physiological characteristics of E. grandis, and be the key factor for the survival of this nondormant species. Global analysis of key families would be a good criterion to evaluate the capabilities of some organisms to adapt to environmental variations.
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Affiliation(s)
- Qiang Li
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Hong Yu
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Phi Bang Cao
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Nizar Fawal
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Catherine Mathé
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Sahar Azar
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Hua Cassan-Wang
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Alexander A Myburg
- Department of Genetics, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, South Africa Genomics Research Institute (GRI), University of Pretoria, South Africa
| | - Jacqueline Grima-Pettenati
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Christiane Marque
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Chantal Teulières
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
| | - Christophe Dunand
- Laboratoire de Recherche en Sciences Végétales, UPS, UMR 5546, Université de Toulouse, Castanet-Tolosan, France CNRS, UMR 5546, Castanet-Tolosan, France
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Hu B, Jin J, Guo AY, Zhang H, Luo J, Gao G. GSDS 2.0: an upgraded gene feature visualization server. ACTA ACUST UNITED AC 2014; 31:1296-7. [PMID: 25504850 PMCID: PMC4393523 DOI: 10.1093/bioinformatics/btu817] [Citation(s) in RCA: 2553] [Impact Index Per Article: 232.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Accepted: 12/07/2014] [Indexed: 11/16/2022]
Abstract
Summary: Visualizing genes’ structure and annotated features helps biologists to investigate their function and evolution intuitively. The Gene Structure Display Server (GSDS) has been widely used by more than 60 000 users since its first publication in 2007. Here, we reported the upgraded GSDS 2.0 with a newly designed interface, supports for more types of annotation features and formats, as well as an integrated visual editor for editing the generated figure. Moreover, a user-specified phylogenetic tree can be added to facilitate further evolutionary analysis. The full source code is also available for downloading. Availability and implementation: Web server and source code are freely available at http://gsds.cbi.pku.edu.cn. Contact: gaog@mail.cbi.pku.edu.cn or gsds@mail.cbi.pku.edu.cn Supplementary information: Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Bo Hu
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, People's Republic of China, College of Life Science, Beijing Normal University, Beijing 100875, People's Republic of China and Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, People's Republic of China, College of Life Science, Beijing Normal University, Beijing 100875, People's Republic of China and Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Jinpu Jin
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, People's Republic of China, College of Life Science, Beijing Normal University, Beijing 100875, People's Republic of China and Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - An-Yuan Guo
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, People's Republic of China, College of Life Science, Beijing Normal University, Beijing 100875, People's Republic of China and Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - He Zhang
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, People's Republic of China, College of Life Science, Beijing Normal University, Beijing 100875, People's Republic of China and Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Jingchu Luo
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, People's Republic of China, College of Life Science, Beijing Normal University, Beijing 100875, People's Republic of China and Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
| | - Ge Gao
- State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Center for Bioinformatics, Peking University, Beijing 100871, People's Republic of China, College of Life Science, Beijing Normal University, Beijing 100875, People's Republic of China and Department of Systems Biology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China
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12
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Mühlhausen S, Hellkamp M, Kollmar M. GenePainter v. 2.0 resolves the taxonomic distribution of intron positions. ACTA ACUST UNITED AC 2014; 31:1302-4. [PMID: 25434742 DOI: 10.1093/bioinformatics/btu798] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Accepted: 11/25/2014] [Indexed: 11/12/2022]
Abstract
UNLABELLED Conserved intron positions in eukaryotic genes can be used to reconstruct phylogenetic trees, to resolve ambiguous subfamily relationships in protein families and to infer the history of gene families. This version of GenePainter facilitates working with large datasets through options to select specific subsets for analysis and visualization, and through providing exhaustive statistics. GenePainter's application in phylogenetic analyses is considerably extended by the newly implemented integration of the exon-intron pattern conservation with phylogenetic trees. AVAILABILITY AND IMPLEMENTATION The software along with detailed documentation is available at http://www.motorprotein.de/genepainter and as Supplementary Material. CONTACT mako@nmr.mpibpc.mpg.de SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Stefanie Mühlhausen
- Group Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany
| | - Marcel Hellkamp
- Group Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany
| | - Martin Kollmar
- Group Systems Biology of Motor Proteins, Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Göttingen, Germany
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13
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Fawal N, Li Q, Mathé C, Dunand C. Automatic multigenic family annotation: risks and solutions. Trends Genet 2014; 30:323-5. [DOI: 10.1016/j.tig.2014.06.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2014] [Revised: 06/23/2014] [Accepted: 06/24/2014] [Indexed: 12/17/2022]
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14
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Horizontal gene transfer of a bacterial insect toxin gene into the Epichloë fungal symbionts of grasses. Sci Rep 2014; 4:5562. [PMID: 24990771 PMCID: PMC4080199 DOI: 10.1038/srep05562] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2014] [Accepted: 06/17/2014] [Indexed: 12/11/2022] Open
Abstract
Horizontal gene transfer is recognized as an important factor in genome evolution, particularly when the newly acquired gene confers a new capability to the recipient species. We identified a gene similar to the makes caterpillars floppy (mcf1 and mcf2) insect toxin genes in Photorhabdus, bacterial symbionts of nematodes, in the genomes of the Epichloë fungi, which are intercellular symbionts of grasses. Infection by Epichloë spp. often confers insect resistance to the grass hosts, largely due to the production of fungal alkaloids. A mcf-like gene is present in all of the Epichloë genome sequences currently available but in no other fungal genomes. This suggests the Epichloë genes were derived from a single lineage-specific HGT event. Molecular dating was used to estimate the time of the HGT event at between 7.2 and 58.8 million years ago. The mcf-like coding sequence from Epichloë typhina subsp. poae was cloned and expressed in Escherichia coli. E. coli cells expressing the Mcf protein were toxic to black cutworms (Agrotis ipsilon), whereas E. coli cells containing the vector only were non-toxic. These results suggest that the Epichloëmcf-like genes may be a component, in addition to the fungal alkaloids, of the insect resistance observed in Epichloë-infected grasses.
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Gosselin P, Martineau Y, Morales J, Czjzek M, Glippa V, Gauffeny I, Morin E, Le Corguillé G, Pyronnet S, Cormier P, Cosson B. Tracking a refined eIF4E-binding motif reveals Angel1 as a new partner of eIF4E. Nucleic Acids Res 2013; 41:7783-92. [PMID: 23814182 PMCID: PMC3763552 DOI: 10.1093/nar/gkt569] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The initiation factor 4E (eIF4E) is implicated in most of the crucial steps of the mRNA life cycle and is recognized as a pivotal protein in gene regulation. Many of these roles are mediated by its interaction with specific proteins generally known as eIF4E-interacting partners (4E-IPs), such as eIF4G and 4E-BP. To screen for new 4E-IPs, we developed a novel approach based on structural, in silico and biochemical analyses. We identified the protein Angel1, a member of the CCR4 deadenylase family. Immunoprecipitation experiments provided evidence that Angel1 is able to interact in vitro and in vivo with eIF4E. Point mutation variants of Angel1 demonstrated that the interaction of Angel1 with eIF4E is mediated through a consensus eIF4E-binding motif. Immunofluorescence and cell fractionation experiments showed that Angel1 is confined to the endoplasmic reticulum and Golgi apparatus, where it partially co-localizes with eIF4E and eIF4G, but not with 4E-BP. Furthermore, manipulating Angel1 levels in living cells had no effect on global translation rates, suggesting that the protein has a more specific function. Taken together, our results illustrate that we developed a powerful method for identifying new eIF4E partners and open new perspectives for understanding eIF4E-specific regulation.
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Affiliation(s)
- Pauline Gosselin
- UPMC Univ Paris 06, UMR 7150, Mer et Santé, Station Biologique, F-29680 Roscoff, France, CNRS, UMR 7150, Mer et Santé, Station Biologique, F-29680 Roscoff, France. Université Européenne de Bretagne, Bretagne, Roscoff, France, INSERM, UMR 1037, Centre de Recherche en Cancérologie de Toulouse, Toulouse 31432, France, UPMC Univ Paris 06, UMR 7139, Végétaux Marins et Biomolécules, Station Biologique, F-29680 Roscoff, France, CNRS, UMR 7139, Végétaux Marins et Biomolécules, Station Biologique, F-29680 Roscoff, France, UPMC Univ Paris 06, FR2424, ABiMS, Station Biologique, F-29680 Roscoff, France and CNRS, FR2424, ABiMS, Station Biologique, F-29680 Roscoff, France
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16
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Hammesfahr B, Odronitz F, Mühlhausen S, Waack S, Kollmar M. GenePainter: a fast tool for aligning gene structures of eukaryotic protein families, visualizing the alignments and mapping gene structures onto protein structures. BMC Bioinformatics 2013; 14:77. [PMID: 23496949 PMCID: PMC3605371 DOI: 10.1186/1471-2105-14-77] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2012] [Accepted: 02/24/2013] [Indexed: 11/10/2022] Open
Abstract
Background All sequenced eukaryotic genomes have been shown to possess at least a few introns. This includes those unicellular organisms, which were previously suspected to be intron-less. Therefore, gene splicing must have been present at least in the last common ancestor of the eukaryotes. To explain the evolution of introns, basically two mutually exclusive concepts have been developed. The introns-early hypothesis says that already the very first protein-coding genes contained introns while the introns-late concept asserts that eukaryotic genes gained introns only after the emergence of the eukaryotic lineage. A very important aspect in this respect is the conservation of intron positions within homologous genes of different taxa. Results GenePainter is a standalone application for mapping gene structure information onto protein multiple sequence alignments. Based on the multiple sequence alignments the gene structures are aligned down to single nucleotides. GenePainter accounts for variable lengths in exons and introns, respects split codons at intron junctions and is able to handle sequencing and assembly errors, which are possible reasons for frame-shifts in exons and gaps in genome assemblies. Thus, even gene structures of considerably divergent proteins can properly be compared, as it is needed in phylogenetic analyses. Conserved intron positions can also be mapped to user-provided protein structures. For their visualization GenePainter provides scripts for the molecular graphics system PyMol. Conclusions GenePainter is a tool to analyse gene structure conservation providing various visualization options. A stable version of GenePainter for all operating systems as well as documentation and example data are available at http://www.motorprotein.de/genepainter.html.
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Affiliation(s)
- Björn Hammesfahr
- Department of NMR-based Structural Biology, Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, Göttingen, 37077, Germany
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17
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Wang Y, You FM, Lazo GR, Luo MC, Thilmony R, Gordon S, Kianian SF, Gu YQ. PIECE: a database for plant gene structure comparison and evolution. Nucleic Acids Res 2012. [PMID: 23180792 PMCID: PMC3531150 DOI: 10.1093/nar/gks1109] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Gene families often show degrees of differences in terms of exon–intron structures depending on their distinct evolutionary histories. Comparative analysis of gene structures is important for understanding their evolutionary and functional relationships within plant species. Here, we present a comparative genomics database named PIECE (http://wheat.pw.usda.gov/piece) for Plant Intron and Exon Comparison and Evolution studies. The database contains all the annotated genes extracted from 25 sequenced plant genomes. These genes were classified based on Pfam motifs. Phylogenetic trees were pre-constructed for each gene category. PIECE provides a user-friendly interface for different types of searches and a graphical viewer for displaying a gene structure pattern diagram linked to the resulting bootstrapped dendrogram for each gene family. The gene structure evolution of orthologous gene groups was determined using the GLOOME, Exalign and GECA software programs that can be accessed within the database. PIECE also provides a web server version of the software, GSDraw, for drawing schematic diagrams of gene structures. PIECE is a powerful tool for comparing gene sequences and provides valuable insights into the evolution of gene structure in plant genomes.
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Affiliation(s)
- Yi Wang
- USDA-Agriculture Research Service, Western Regional Research Center, Albany, CA 94710, USA
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18
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Fawal N, Li Q, Savelli B, Brette M, Passaia G, Fabre M, Mathé C, Dunand C. PeroxiBase: a database for large-scale evolutionary analysis of peroxidases. Nucleic Acids Res 2012. [PMID: 23180785 PMCID: PMC3531118 DOI: 10.1093/nar/gks1083] [Citation(s) in RCA: 128] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The PeroxiBase (http://peroxibase.toulouse.inra.fr/) is a specialized database devoted to peroxidases' families, which are major actors of stress responses. In addition to the increasing number of sequences and the complete modification of the Web interface, new analysis tools and functionalities have been developed since the previous publication in the NAR database issue. Nucleotide sequences and graphical representation of the gene structure can now be included for entries containing genomic cross-references. An expert semi-automatic annotation strategy is being developed to generate new entries from genomic sequences and from EST libraries. Plus, new internal and automatic controls have been included to improve the quality of the entries. To compare gene structure organization among families' members, two new tools are available, CIWOG to detect common introns and GECA to visualize gene structure overlaid with sequence conservation. The multicriteria search tool was greatly improved to allow simple and combined queries. After such requests or a BLAST search, different analysis processes are suggested, such as multiple alignments with ClustalW or MAFFT, a platform for phylogenetic analysis and GECA's display in association with a phylogenetic tree. Finally, we updated our family specific profiles implemented in the PeroxiScan tool and made new profiles to consider new sub-families.
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Affiliation(s)
- Nizar Fawal
- Université de Toulouse, UPS, UMR 5546, Laboratoire de Recherche en Sciences Végétales, France
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Frech C, Choo C, Chen N. FeatureStack: Perl module for comparative visualization of gene features. Bioinformatics 2012; 28:3137-8. [PMID: 23023981 DOI: 10.1093/bioinformatics/bts572] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
SUMMARY FeatureStack is a Perl module for the automatic generation of multi-gene images. FeatureStack takes BioPerl-compliant gene or transcript features as input and renders them side by side using a user-defined BioPerl glyph. Output images can be generated in SVG or PNG format. FeatureStack comes with a new BioPerl glyph, decorated_gene, which can highlight protein features on top of gene models. Used in combination, FeatureStack and decorated_gene enable rapid and automated generation of annotation-rich images of stacked gene models that greatly facilitate evolutionary studies of related gene structures and gene families. AVAILABILITY AND IMPLEMENTATION Bio-Draw-FeatureStack and Bio-Graphics-glyph-decorated_gene are freely available at the Comprehensive Perl Archive Network (CPAN) and GitHub. CONTACT chenn@sfu.ca SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Christian Frech
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada V5A 1S6
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