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Etchegaray E, Dechaud C, Barbier J, Naville M, Volff JN. Diversity of Harbinger-like Transposons in Teleost Fish Genomes. Animals (Basel) 2022; 12:ani12111429. [PMID: 35681893 PMCID: PMC9179366 DOI: 10.3390/ani12111429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/23/2022] [Accepted: 05/30/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary The study of transposable elements, which are repeated DNA sequences that can insert into new locations in genomes, is of particular interest to genome evolution, as they are sources of mutations but also of new regulatory and coding sequences. Teleost fish are a species-rich clade presenting a high diversity of transposable elements, both quantitatively and qualitatively, making them a very attractive group to investigate the evolution of mobile sequences. We studied Harbinger-like DNA transposons, which are widespread from plants to vertebrates but absent from mammalian genomes. These elements code for both a transposase and a Myb-like protein. We observed high variability in the genomic composition of Harbinger-like sequences in teleost fish. While Harbinger transposons might have been present in a common ancestor of all the fish species studied, ISL2EU elements were possibly gained by horizontal transfer at the base of teleost fish. Transposase and Myb-like protein phylogenies of Harbinger transposons indicated unique origins of the association between both genes and suggests recombination was rare between transposon sublineages. Finally, we report one case of Harbinger horizontal transfer between divergent fish species and the transcriptional activity of both Harbinger and ISL2EU transposons in teleost fish. There was male-biased expression in the gonads of the medaka fish. Abstract Harbinger elements are DNA transposons that are widespread from plants to vertebrates but absent from mammalian genomes. Among vertebrates, teleost fish are the clade presenting not only the largest number of species but also the highest diversity of transposable elements, both quantitatively and qualitatively, making them a very attractive group to investigate the evolution of mobile sequences. We studied Harbinger DNA transposons and the distantly related ISL2EU elements in fish, focusing on representative teleost species compared to the spotted gar, the coelacanth, the elephant shark and the amphioxus. We observed high variability in the genomic composition of Harbinger-like sequences in teleost fish, as they covered 0.002–0.14% of the genome, when present. While Harbinger transposons might have been present in a common ancestor of all the fish species studied here, with secondary loss in elephant shark, our results suggests that ISL2EU elements were gained by horizontal transfer at the base of teleost fish 200–300 million years ago, and that there was secondary loss in a common ancestor of pufferfishes and stickleback. Harbinger transposons code for a transposase and a Myb-like protein. We reconstructed and compared molecular phylogenies of both proteins to get insights into the evolution of Harbinger transposons in fish. Transposase and Myb-like protein phylogenies showed global congruent evolution, indicating unique origin of the association between both genes and suggesting rare recombination between transposon sublineages. Finally, we report one case of Harbinger horizontal transfer between divergent fish species and the transcriptional activity of both Harbinger and ISL2EU transposons in teleost fish. There was male-biased expression in the gonads of the medaka fish.
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Transcriptome Profiling of the Pacific Oyster Crassostrea gigas Visceral Ganglia over a Reproduction Cycle Identifies Novel Regulatory Peptides. Mar Drugs 2021; 19:md19080452. [PMID: 34436291 PMCID: PMC8398477 DOI: 10.3390/md19080452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 11/18/2022] Open
Abstract
The neuropeptides involved in the regulation of reproduction in the Pacific oyster (Crassostrea gigas) are quite diverse. To investigate this diversity, a transcriptomic survey of the visceral ganglia (VG) was carried out over an annual reproductive cycle. RNA-seq data from 26 samples corresponding to VG at different stages of reproduction were de novo assembled to generate a specific reference transcriptome of the oyster nervous system and used to identify differentially expressed transcripts. Transcriptome mining led to the identification of novel neuropeptide precursors (NPPs) related to the bilaterian Eclosion Hormone (EH), crustacean female sex hormone/Interleukin 17, Nesfatin, neuroparsin/IGFBP, prokineticins, and urotensin I; to the protostome GNQQN, pleurin, prohormones 3 and 4, prothoracotropic hormones (PTTH), and QSamide/PXXXamide; to the lophotrochozoan CCWamide, CLCCY, HFAamide, and LXRX; and to the mollusk-specific NPPs CCCGS, clionin, FYFY, GNamide, GRWRN, GSWN, GWE, IWMPxxGYxx, LXRYamide, RTLFamide, SLRFamide, and WGAGamide. Among the complete repertoire of NPPs, no sex-biased expression was observed. However, 25 NPPs displayed reproduction stage-specific expression, supporting their involvement in the control of gametogenesis or associated metabolisms.
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Klopp C, Cabau C, Greif G, Lasalle A, Di Landro S, Vizziano-Cantonnet D. Siberian sturgeon multi-tissue reference transcriptome database. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2020; 2020:6006229. [PMID: 33238003 PMCID: PMC7687680 DOI: 10.1093/database/baaa082] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/25/2020] [Accepted: 09/01/2020] [Indexed: 11/13/2022]
Abstract
Motivation: Siberian sturgeon is a long lived and late maturing fish farmed for caviar production in 50 countries. Functional genomics enable to find genes of interest for fish farming. In the absence of a reference genome, a reference transcriptome is very useful for sequencing based functional studies. Results: We present here a high-quality transcriptome assembly database built using RNA-seq reads coming from brain, pituitary, gonadal, liver, stomach, kidney, anterior kidney, heart, embryonic and pre-larval tissues. It will facilitate crucial research on topics such as puberty, reproduction, growth, food intake and immunology. This database represents a major contribution to the publicly available sturgeon transcriptome reference datasets. Availability: The database is publicly available at http://siberiansturgeontissuedb.sigenae.org Supplementary information: Supplementary data are available at Database online.
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Affiliation(s)
- Christophe Klopp
- SIGENAE, Genotoul Bioinfo, MIAT UR875, INRAe, Chemin de Borde-Rouge - Auzeville BP 52627, 31326 CASTANET-TOLOSAN CEDEX, France
| | - Cédric Cabau
- SIGENAE, GenPhySE, Université de Toulouse, INRAe, ENVT, Chemin de Borde-Rouge - Auzeville BP 52627, 31326 CASTANET-TOLOSAN CEDEX, France
| | - Gonzalo Greif
- Laboratorio de Interacción Hospedero-Patógeno/Unidad de Biología Molecular, Instituto Pasteur de Montevideo, Mataojo 2020, Montevideo 11400, Uruguay
| | - André Lasalle
- Laboratorio de Fisiología de la Reproducción y Ecología de Peces, Instituto de Biología, Facultad de Ciencias, Universidad de la República Oriental del Uruguay, Iguá 4225, Montevideo 11 400, Uruguay
| | - Santiago Di Landro
- Laboratorio de Fisiología de la Reproducción y Ecología de Peces, Instituto de Biología, Facultad de Ciencias, Universidad de la República Oriental del Uruguay, Iguá 4225, Montevideo 11 400, Uruguay
| | - Denise Vizziano-Cantonnet
- Laboratorio de Fisiología de la Reproducción y Ecología de Peces, Instituto de Biología, Facultad de Ciencias, Universidad de la República Oriental del Uruguay, Iguá 4225, Montevideo 11 400, Uruguay
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Péden R, Poupin P, Sohm B, Flayac J, Giambérini L, Klopp C, Louis F, Pain-Devin S, Potet M, Serre RF, Devin S. Environmental transcriptomes of invasive dreissena, a model species in ecotoxicology and invasion biology. Sci Data 2019; 6:234. [PMID: 31653851 PMCID: PMC6814772 DOI: 10.1038/s41597-019-0252-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 09/11/2019] [Indexed: 11/27/2022] Open
Abstract
Dreissenids are established model species for ecological and ecotoxicological studies, since they are sessile and filter feeder organisms and reflect in situ freshwater quality. Despite this strong interest for hydrosystem biomonitoring, omics data are still scarce. In the present study, we achieved full de novo assembly transcriptomes of digestive glands to gain insight into Dreissena polymorpha and D. rostriformis bugensis molecular knowledge. Transcriptomes were obtained by Illumina RNA sequencing of seventy-nine organisms issued from fifteen populations inhabiting sites that exhibits multiple freshwater contamination levels and different hydrosystem topographies (open or closed systems). Based on a recent de novo assembly algorithm, we carried out a complete, quality-checked and annotated transcriptomes. The power of the present study lies in the completeness of transcriptomes gathering multipopulational organisms sequencing and its full availability through an open access interface that gives a friendly and ready-to-use access to data. The use of such data for proteogenomic and targeted biological pathway investigations purpose is promising as they are first full transcriptomes for this two Dreissena species.
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Affiliation(s)
- Romain Péden
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France
- Université Reims Champagne Ardenne, UMR-I 02 SEBIO, 51097, Reims, France
| | - Pascal Poupin
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France
| | - Bénédicte Sohm
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France
| | - Justine Flayac
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France
| | | | - Christophe Klopp
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, 31326, Castanet-Tolosan, France
| | - Fanny Louis
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France
| | | | - Marine Potet
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France
| | - Rémy-Félix Serre
- INRA, US 1426, GeT-PlaGe, Genotoul, INRA Auzeville, Castanet Tolosan, Cedex, France
| | - Simon Devin
- Université de Lorraine, CNRS, LIEC, F-57000, Metz, France.
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Bertucci A, Pierron F, Gourves PY, Klopp C, Lagarde G, Pereto C, Dufour V, Gonzalez P, Coynel A, Budzinski H, Baudrimont M. Whole-transcriptome response to wastewater treatment plant and stormwater effluents in the Asian clam, Corbicula fluminea. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2018; 165:96-106. [PMID: 30193169 DOI: 10.1016/j.ecoenv.2018.08.090] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 08/20/2018] [Accepted: 08/23/2018] [Indexed: 06/08/2023]
Abstract
The increase in human population and urbanization are resulting in an increase in the volume of wastewater and urban runoff effluents entering natural ecosystems. These effluents may contain multiple pollutants to which the biological response of aquatic organisms is still poorly understood mainly due to mixture toxicity and interactions with other environmental factors. In this context, RNA sequencing was used to assess the impact of a chronic exposure to wastewater treatment plant and stormwater effluents at the whole-transcriptome level and evaluate the potential physiological outcomes in the Asian clam Corbicula fluminea. We de-novo assembled a transcriptome from C. fluminea digestive gland and identified a set of 3,181 transcripts with altered abundance in response to water quality. The largest differences in transcriptomic profiles were observed between C. fluminea from the reference site and those exposed to wastewater treatment plant effluents. On both anthropogenically impacted sites, most differentially expressed transcripts were involved in signaling pathways in relation to energy metabolism such as mTOR and FoxO, suggesting an energy/nutrient deficit and hypoxic conditions. These conditions were likely responsible for damages to proteins and transcripts in response to wastewater treatment effluents whereas exposure to urban runoff might result in immune and endocrine disruptions. In absence of comprehensive chemical characterization, the RNAseq approach could provide information regarding the mode of action of pollutants and then be useful for the identification of which parameters must be studied at higher integration level in order to diagnose sites where the presence of complex and variable mixtures of chemicals is suspected.
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Affiliation(s)
| | - Fabien Pierron
- Univ. Bordeaux, UMR EPOC CNRS 5805, 33615 Pessac, France
| | | | - Christophe Klopp
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, 31326 Castanet-Tolosan, France
| | | | - Clément Pereto
- Univ. Bordeaux, UMR EPOC CNRS 5805, 33615 Pessac, France
| | - Vincent Dufour
- Univ. Bordeaux, UMR EPOC CNRS 5805, 33615 Pessac, France
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Mondet F, Rau A, Klopp C, Rohmer M, Severac D, Le Conte Y, Alaux C. Transcriptome profiling of the honeybee parasite Varroa destructor provides new biological insights into the mite adult life cycle. BMC Genomics 2018; 19:328. [PMID: 29728057 PMCID: PMC5936029 DOI: 10.1186/s12864-018-4668-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2017] [Accepted: 04/12/2018] [Indexed: 12/16/2022] Open
Abstract
Background The parasite Varroa destructor represents a significant threat to honeybee colonies. Indeed, development of Varroa infestation within colonies, if left untreated, often leads to the death of the colony. Although its impact on bees has been extensively studied, less is known about its biology and the functional processes governing its adult life cycle and adaptation to its host. We therefore developed a full life cycle transcriptomic catalogue in adult Varroa females and included pairwise comparisons with males, artificially-reared and non-reproducing females (10 life cycle stages and conditions in total). Results Extensive remodeling of the Varroa transcriptome was observed, with an upregulation of energetic and chitin metabolic processes during the initial and final phases of the life cycle (e.g. phoretic and post-oviposition stages), whereas during reproductive stages in brood cells genes showing functions related to transcriptional regulation were overexpressed. Several neurotransmitter and neuropeptide receptors involved in behavioural regulation, as well as active compounds of salivary glands, were also expressed at a higher level outside the reproductive stages. No difference was detected between artificially-reared phoretic females and their counterparts in colonies, or between females who failed to reproduce and females who successfully reproduced, indicating that phoretic individuals can be reared outside host colonies without impacting their physiology and that mechanisms underlying reproductive failure occur before oogenesis. Conclusions We discuss how these new findings reveal the remarkable adaptation of Varroa to its host biology and notably to the switch from living on adults to reproducing in sealed brood cells. By spanning the entire adult life cycle, our work captures the dynamic changes in the parasite gene expression and serves as a unique resource for deciphering Varroa biology and identifying new targets for mite control. Electronic supplementary material The online version of this article (10.1186/s12864-018-4668-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Fanny Mondet
- INRA, UR 406 Abeilles et Environnement, 84914, Avignon, France.
| | - Andrea Rau
- INRA, UMR 1313 GABI Génétique Animale et Biologie Intégrative, 78350, Jouy-en-Josas, France
| | - Christophe Klopp
- INRA, Genotoul Bioinfo, UR 875 MIAT Mathématiques et Informatique Appliquées de Toulouse, 31326, Castanet-Tolosan, France
| | - Marine Rohmer
- Institut de Génomique Fonctionnelle, UMR 5203 CNRS, U661 INSERM, Universités Montpellier 1 & 2, 34094, Montpellier, France
| | - Dany Severac
- Institut de Génomique Fonctionnelle, UMR 5203 CNRS, U661 INSERM, Universités Montpellier 1 & 2, 34094, Montpellier, France
| | - Yves Le Conte
- INRA, UR 406 Abeilles et Environnement, 84914, Avignon, France
| | - Cedric Alaux
- INRA, UR 406 Abeilles et Environnement, 84914, Avignon, France.
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Bertucci A, Pierron F, Thébault J, Klopp C, Bellec J, Gonzalez P, Baudrimont M. Transcriptomic responses of the endangered freshwater mussel Margaritifera margaritifera to trace metal contamination in the Dronne River, France. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:27145-27159. [PMID: 28963680 DOI: 10.1007/s11356-017-0294-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 09/20/2017] [Indexed: 06/07/2023]
Abstract
The freshwater pearl mussel Margaritifera margaritifera is one of the most threatened freshwater bivalves worldwide. In this study, we aimed (i) to study the processes by which water quality might affect freshwater mussels in situ and (ii) to provide insights into the ecotoxicological significance of water pollution to natural populations in order to provide necessary information to enhance conservation strategies. M. margaritifera specimens were sampled in two close sites located upstream or downstream from an illegal dumping site. The renal transcriptome of these animals was assembled and gene transcription determined by RNA-seq. Correlations between transcription levels of each single transcript and the bioaccumulation of nine trace metals, age (estimated by sclerochronology), and condition index were determined in order to identify genes likely to respond to a specific factor. Amongst the studied metals, Cr, Zn, Cd, and Ni were the main factors correlated with transcription levels, with effects on translation, apoptosis, immune response, response to stimulus, and transport pathways. However, the main factor explaining changes in gene transcription appeared to be the age of individuals with a negative correlation with the transcription of retrotransposon-related genes. To investigate this effect further, mussels were classified into three age classes. In young, middle-aged and old animals, transcription levels were mainly explained by Cu, Zn and age, respectively. This suggests differences in the molecular responses of this species to metals during its lifetime that must be better assessed in future ecotoxicology studies.
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Affiliation(s)
| | - Fabien Pierron
- Univ. Bordeaux, UMR EPOC CNRS 5805, 33615, Pessac, France
| | - Julien Thébault
- Université de Brest, Institut Universitaire Européen de la Mer, Laboratoire des sciences de l'environnement marin (LEMAR UMR 6539 CNRS/UBO/IRD/Ifremer), 29280, Plouzané, France
| | - Christophe Klopp
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, 31326, Castanet-Tolosan, France
| | - Julie Bellec
- Université de Brest, Institut Universitaire Européen de la Mer, Laboratoire des sciences de l'environnement marin (LEMAR UMR 6539 CNRS/UBO/IRD/Ifremer), 29280, Plouzané, France
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Cochetel N, Escudié F, Cookson SJ, Dai Z, Vivin P, Bert PF, Muñoz MS, Delrot S, Klopp C, Ollat N, Lauvergeat V. Root transcriptomic responses of grafted grapevines to heterogeneous nitrogen availability depend on rootstock genotype. JOURNAL OF EXPERIMENTAL BOTANY 2017; 68:4339-4355. [PMID: 28922755 PMCID: PMC5854021 DOI: 10.1093/jxb/erx224] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 06/06/2017] [Indexed: 05/11/2023]
Abstract
In many fruit species, including grapevine, grafting is used to improve scion productivity and quality and to adapt the plant to environmental conditions. However, the mechanisms underlying the rootstock control of scion development are still poorly understood. The ability of rootstocks to regulate nitrogen uptake and assimilation may contribute to this control. A split-root system was used to grow heterografted grapevines and to investigate the molecular responses to changes in nitrate availability of two rootstocks known to affect scion growth differently. Transcriptome profiling by RNA sequencing was performed on root samples collected 3 and 24 h after nitrogen supply. The results demonstrated a common response involving nitrogen-related genes, as well as a more pronounced transcriptomic reprogramming in the genotype conferring the lower scion growth. A weighted gene co-expression network analysis allowed the identification of co-regulated gene modules, suggesting a role for nitrate transporter 2 family genes and some transcription factors as main actors controlling this genotype-dependent response to heterogeneous nitrogen supply. The relationship between nitrate, ethylene, and strigolactone hormonal pathways was found to differ between the two genotypes. These findings indicated that the genotypes responded differently to heterogeneous nitrogen availability, and this may contribute to their contrasting effect on scion growth.
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Affiliation(s)
- Noé Cochetel
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
| | - Frédéric Escudié
- Genotoul Bioinformatics Platform, UR875 Mathematics and Applied Informatics of Toulouse, INRA, Castanet-Tolosan, France
| | - Sarah Jane Cookson
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
| | - Zhanwu Dai
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
| | - Philippe Vivin
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
| | - Pierre-François Bert
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
| | - Mindy Stephania Muñoz
- Departamento de Genética Molecular y Microbiología, Pontificia Universidad Católica de Chile, Alameda, Santiago, Chile
| | - Serge Delrot
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
| | - Christophe Klopp
- Genotoul Bioinformatics Platform, UR875 Mathematics and Applied Informatics of Toulouse, INRA, Castanet-Tolosan, France
| | - Nathalie Ollat
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
| | - Virginie Lauvergeat
- EGFV, Bordeaux Sciences Agro, INRA, Université de Bordeaux, Villenave d’Ornon, France
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Mazzitelli JY, Bonnafe E, Klopp C, Escudier F, Geret F. De novo transcriptome sequencing and analysis of freshwater snail (Radix balthica) to discover genes and pathways affected by exposure to oxazepam. ECOTOXICOLOGY (LONDON, ENGLAND) 2017; 26:127-140. [PMID: 27981403 DOI: 10.1007/s10646-016-1748-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 11/16/2016] [Indexed: 06/06/2023]
Abstract
Pharmaceuticals are increasingly found in aquatic ecosystems due to the non-efficiency of waste water treatment plants. Therefore, aquatic organisms are frequently exposed to a broad diversity of pharmaceuticals. Freshwater snail Radix balthica has been chosen as model to study the effects of oxazepam (psychotropic drug) on developmental stages ranging from trochophore to hatching. In order to provide a global insight of these effects, a transcriptome deep sequencing has been performed on exposed embryos. Eighteen libraries were sequenced, six libraries for three conditions: control, exposed to the lowest oxazepam concentration with a phenotypic effect (delayed hatching) (TA) and exposed to oxazepam concentration found in freshwater (TB). A total of 39,759,772 filtered raw reads were assembled into 56,435 contigs having a mean length of 1579.68 bp and mean depth of 378.96 reads. 44.91% of the contigs have at least one annotation. The differential expression analysis between the control condition and the two exposure conditions revealed 146 contigs differentially expressed of which 144 for TA and two for TB. 34.0% were annotated with biological function. There were four mainly impacted processes: two cellular signalling systems (Notch and JNK) and two biosynthesis pathways (Polyamine and Catecholamine pathways). This work reports a large-scale analysis of differentially transcribed genes of R. balthica exposed to oxazepam during egg development until hatching. In addition, these results enriched the de novo database of potential ecotoxicological models.
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Affiliation(s)
- Jean-Yves Mazzitelli
- Biochimie et Toxicologie des Substances Bioactives (BTSB), EA7417, Université de Toulouse, INU Champollion, Albi, France.
| | - Elsa Bonnafe
- Biochimie et Toxicologie des Substances Bioactives (BTSB), EA7417, Université de Toulouse, INU Champollion, Albi, France
| | - Christophe Klopp
- Unité de Mathématique et Informatique Appliquées de Toulouse, UR0875, INRA Toulouse, Castanet-Tolosan, France
| | - Frédéric Escudier
- Unité de Mathématique et Informatique Appliquées de Toulouse, UR0875, INRA Toulouse, Castanet-Tolosan, France
| | - Florence Geret
- Biochimie et Toxicologie des Substances Bioactives (BTSB), EA7417, Université de Toulouse, INU Champollion, Albi, France
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Pasquier J, Cabau C, Nguyen T, Jouanno E, Severac D, Braasch I, Journot L, Pontarotti P, Klopp C, Postlethwait JH, Guiguen Y, Bobe J. Gene evolution and gene expression after whole genome duplication in fish: the PhyloFish database. BMC Genomics 2016; 17:368. [PMID: 27189481 PMCID: PMC4870732 DOI: 10.1186/s12864-016-2709-z] [Citation(s) in RCA: 194] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2015] [Accepted: 05/05/2016] [Indexed: 12/25/2022] Open
Abstract
With more than 30,000 species, ray-finned fish represent approximately half of vertebrates. The evolution of ray-finned fish was impacted by several whole genome duplication (WGD) events including a teleost-specific WGD event (TGD) that occurred at the root of the teleost lineage about 350 million years ago (Mya) and more recent WGD events in salmonids, carps, suckers and others. In plants and animals, WGD events are associated with adaptive radiations and evolutionary innovations. WGD-spurred innovation may be especially relevant in the case of teleost fish, which colonized a wide diversity of habitats on earth, including many extreme environments. Fish biodiversity, the use of fish models for human medicine and ecological studies, and the importance of fish in human nutrition, fuel an important need for the characterization of gene expression repertoires and corresponding evolutionary histories of ray-finned fish genes. To this aim, we performed transcriptome analyses and developed the PhyloFish database to provide (i) de novo assembled gene repertoires in 23 different ray-finned fish species including two holosteans (i.e. a group that diverged from teleosts before TGD) and 21 teleosts (including six salmonids), and (ii) gene expression levels in ten different tissues and organs (and embryos for many) in the same species. This resource was generated using a common deep RNA sequencing protocol to obtain the most exhaustive gene repertoire possible in each species that allows between-species comparisons to study the evolution of gene expression in different lineages. The PhyloFish database described here can be accessed and searched using RNAbrowse, a simple and efficient solution to give access to RNA-seq de novo assembled transcripts.
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Affiliation(s)
- Jeremy Pasquier
- INRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France
| | - Cédric Cabau
- INRA, SIGENAE, GenPhySE, F-31326, Castanet-Tolosan, France
| | - Thaovi Nguyen
- INRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France
| | - Elodie Jouanno
- INRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France
| | - Dany Severac
- CNRS, MGX-Montpellier GenomiX, Montpellier, France
| | - Ingo Braasch
- Institute of Neuroscience, University of Oregon, Eugene, 97403-1254, OR, USA.,Department of Integrative Biology, Michigan State University, East Lansing, 48824, MI, USA
| | | | - Pierre Pontarotti
- Aix-Marseille Université, CNRS, Centrale Marseille, I2M, UMR7373, FR 4213 - FR, Eccorev 3098, équipe EBM, 13331, Marseille, France
| | | | - John H Postlethwait
- Institute of Neuroscience, University of Oregon, Eugene, 97403-1254, OR, USA
| | - Yann Guiguen
- INRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France
| | - Julien Bobe
- INRA, Laboratoire de Physiologie et Génomique des poissons, Campus de Beaulieu, F-35042, Rennes cedex, France.
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11
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Magnanou E, Noirot C, Falcón J, Jørgensen EH. Sequencing and characterization of a multi-organ Arctic charr transcriptome: A toolbox for investigating polymorphism and seasonal life in a high Arctic fish. Mar Genomics 2016; 29:45-53. [PMID: 27118202 DOI: 10.1016/j.margen.2016.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Revised: 04/08/2016] [Accepted: 04/08/2016] [Indexed: 02/06/2023]
Abstract
The Arctic charr (Salvelinus alpinus L.) inhabits fresh water ecosystems of the high North. The species has developed a strong phenotypic plasticity and variability in life history characteristics which has made this species an attractive model for investigations on phenotype plasticity, morph formation and ecological speciation. Further, the extreme seasonal variations in environmental conditions (e.g. food availability) in the high North induce seasonal changes in phenotype, which require precise timing mechanisms and physiological preparations. Individual gating of life-history strategies (e.g. formation of resident and sea-migrating morphs) and transitions (e.g. maturation) depends on conditional traits (size/energy status) at specific assessment time windows, and complex neuroendocrine regulation, which so far is poorly understood. In the absence of a reference genome, and in order to facilitate the investigation of the complex biological mechanisms of this unique fish model, the present study reveals a reference transcriptome for the Arctic charr. Using Roche 454 GS FLX+, we targeted various organs being either at the crossroads of many key pathways (neuroendocrine, metabolic, behavioral), of different ontological origins or displaying complementary physiological functions. The assemblage yielded 34,690 contigs greater than 1000bp with an average length (1690bp) and annotation rate (52%) within the range, or even higher, than what has been previously obtained with other teleost de novo transcriptomes. We dramatically improve the publically available transcript data on this species that may indeed be useful for various disciplines, from basic research to applied aspects related to conservation issues and aquaculture.
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Affiliation(s)
- Elodie Magnanou
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Observatoire Océanologique, F-66650, Banyuls/Mer, France.
| | - Celine Noirot
- INRA, Plateforme bioinformatique Toulouse Midi-Pyrénées, UR875 Biométrie et Intelligence Artificielle, BP 52627, 31326 Castanet-Tolosan Cedex, France
| | - Jack Falcón
- Sorbonne Universités, UPMC Univ Paris 06, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Observatoire Océanologique, F-66650, Banyuls/Mer, France
| | - Even Hjalmar Jørgensen
- Faculty of Biosciences, Fisheries and Economy, Department of Arctic and Marine Biology, UiT the Arctic University of Norway, NO-9037 Tormsø, Norway.
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12
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Moreton J, Izquierdo A, Emes RD. Assembly, Assessment, and Availability of De novo Generated Eukaryotic Transcriptomes. Front Genet 2016; 6:361. [PMID: 26793234 PMCID: PMC4707302 DOI: 10.3389/fgene.2015.00361] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2015] [Accepted: 12/19/2015] [Indexed: 11/13/2022] Open
Abstract
De novo assembly of a complete transcriptome without the need for a guiding reference genome is attractive, particularly where the cost and complexity of generating a eukaryote genome is prohibitive. The transcriptome should not however be seen as just a quick and cheap alternative to building a complete genome. Transcriptomics allows the understanding and comparison of spatial and temporal samples within an organism, and allows surveying of multiple individuals or closely related species. De novo assembly in theory allows the building of a complete transcriptome without any prior knowledge of the genome. It also allows the discovery of alternate splice forms of coding RNAs and also non-coding RNAs, which are often missed by proteomic approaches, or are incompletely annotated in genome studies. The limitations of the method are that the generation of a truly complete assembly is unlikely, and so we require some methods for the assessment of the quality and appropriateness of a generated transcriptome. Whilst no single consensus pipeline or tool is agreed as optimal, various algorithms, and easy to use software do exist making transcriptome generation a more common approach. With this expansion of data, questions still exist relating to how do we make these datasets fully discoverable, comparable and most useful to understand complex biological systems?
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Affiliation(s)
- Joanna Moreton
- Advanced Data Analysis Centre, Sutton Bonington Campus, University of NottinghamLeicestershire, UK
- School of Veterinary Medicine and Science, Sutton Bonington Campus, University of NottinghamLeicestershire, UK
| | - Abril Izquierdo
- School of Veterinary Medicine and Science, Sutton Bonington Campus, University of NottinghamLeicestershire, UK
| | - Richard D. Emes
- Advanced Data Analysis Centre, Sutton Bonington Campus, University of NottinghamLeicestershire, UK
- School of Veterinary Medicine and Science, Sutton Bonington Campus, University of NottinghamLeicestershire, UK
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13
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GigaTON: an extensive publicly searchable database providing a new reference transcriptome in the pacific oyster Crassostrea gigas. BMC Bioinformatics 2015; 16:401. [PMID: 26627443 PMCID: PMC4667447 DOI: 10.1186/s12859-015-0833-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Accepted: 11/24/2015] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND The Pacific oyster, Crassostrea gigas, is one of the most important aquaculture shellfish resources worldwide. Important efforts have been undertaken towards a better knowledge of its genome and transcriptome, which makes now C. gigas becoming a model organism among lophotrochozoans, the under-described sister clade of ecdysozoans within protostomes. These massive sequencing efforts offer the opportunity to assemble gene expression data and make such resource accessible and exploitable for the scientific community. Therefore, we undertook this assembly into an up-to-date publicly available transcriptome database: the GigaTON (Gigas TranscriptOme pipeliNe) database. DESCRIPTION We assembled 2204 million sequences obtained from 114 publicly available RNA-seq libraries that were realized using all embryo-larval development stages, adult organs, different environmental stressors including heavy metals, temperature, salinity and exposure to air, which were mostly performed as part of the Crassostrea gigas genome project. This data was analyzed in silico and resulted into 56621 newly assembled contigs that were deposited into a publicly available database, the GigaTON database. This database also provides powerful and user-friendly request tools to browse and retrieve information about annotation, expression level, UTRs, splice and polymorphism, and gene ontology associated to all the contigs into each, and between all libraries. CONCLUSIONS The GigaTON database provides a convenient, potent and versatile interface to browse, retrieve, confront and compare massive transcriptomic information in an extensive range of conditions, tissues and developmental stages in Crassostrea gigas. To our knowledge, the GigaTON database constitutes the most extensive transcriptomic database to date in marine invertebrates, thereby a new reference transcriptome in the oyster, a highly valuable resource to physiologists and evolutionary biologists.
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14
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Mariette J, Escudié F, Bardou P, Nabihoudine I, Noirot C, Trotard MS, Gaspin C, Klopp C. Jflow: a workflow management system for web applications. Bioinformatics 2015; 32:456-8. [PMID: 26454273 PMCID: PMC5859998 DOI: 10.1093/bioinformatics/btv589] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Accepted: 10/07/2015] [Indexed: 11/14/2022] Open
Abstract
SUMMARY Biologists produce large data sets and are in demand of rich and simple web portals in which they can upload and analyze their files. Providing such tools requires to mask the complexity induced by the needed High Performance Computing (HPC) environment. The connection between interface and computing infrastructure is usually specific to each portal. With Jflow, we introduce a Workflow Management System (WMS), composed of jQuery plug-ins which can easily be embedded in any web application and a Python library providing all requested features to setup, run and monitor workflows. AVAILABILITY AND IMPLEMENTATION Jflow is available under the GNU General Public License (GPL) at http://bioinfo.genotoul.fr/jflow. The package is coming with full documentation, quick start and a running test portal. CONTACT Jerome.Mariette@toulouse.inra.fr.
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Affiliation(s)
- Jérôme Mariette
- Plate-forme Bio-informatique Genotoul, INRA, UR875 Mathmatiques et Informatique Appliques Toulouse, Castanet-Tolosan, France and
| | - Frédéric Escudié
- Plate-forme Bio-informatique Genotoul, INRA, UR875 Mathmatiques et Informatique Appliques Toulouse, Castanet-Tolosan, France and
| | - Philippe Bardou
- Plate-forme SIGENAE, INRA, GenPhyse, Castanet-Tolosan Cedex, France
| | - Ibouniyamine Nabihoudine
- Plate-forme Bio-informatique Genotoul, INRA, UR875 Mathmatiques et Informatique Appliques Toulouse, Castanet-Tolosan, France and
| | - Céline Noirot
- Plate-forme Bio-informatique Genotoul, INRA, UR875 Mathmatiques et Informatique Appliques Toulouse, Castanet-Tolosan, France and
| | - Marie-Stéphane Trotard
- Plate-forme Bio-informatique Genotoul, INRA, UR875 Mathmatiques et Informatique Appliques Toulouse, Castanet-Tolosan, France and
| | - Christine Gaspin
- Plate-forme Bio-informatique Genotoul, INRA, UR875 Mathmatiques et Informatique Appliques Toulouse, Castanet-Tolosan, France and
| | - Christophe Klopp
- Plate-forme Bio-informatique Genotoul, INRA, UR875 Mathmatiques et Informatique Appliques Toulouse, Castanet-Tolosan, France and Plate-forme SIGENAE, INRA, GenPhyse, Castanet-Tolosan Cedex, France
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15
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Smedley D, Haider S, Durinck S, Pandini L, Provero P, Allen J, Arnaiz O, Awedh MH, Baldock R, Barbiera G, Bardou P, Beck T, Blake A, Bonierbale M, Brookes AJ, Bucci G, Buetti I, Burge S, Cabau C, Carlson JW, Chelala C, Chrysostomou C, Cittaro D, Collin O, Cordova R, Cutts RJ, Dassi E, Di Genova A, Djari A, Esposito A, Estrella H, Eyras E, Fernandez-Banet J, Forbes S, Free RC, Fujisawa T, Gadaleta E, Garcia-Manteiga JM, Goodstein D, Gray K, Guerra-Assunção JA, Haggarty B, Han DJ, Han BW, Harris T, Harshbarger J, Hastings RK, Hayes RD, Hoede C, Hu S, Hu ZL, Hutchins L, Kan Z, Kawaji H, Keliet A, Kerhornou A, Kim S, Kinsella R, Klopp C, Kong L, Lawson D, Lazarevic D, Lee JH, Letellier T, Li CY, Lio P, Liu CJ, Luo J, Maass A, Mariette J, Maurel T, Merella S, Mohamed AM, Moreews F, Nabihoudine I, Ndegwa N, Noirot C, Perez-Llamas C, Primig M, Quattrone A, Quesneville H, Rambaldi D, Reecy J, Riba M, Rosanoff S, Saddiq AA, Salas E, Sallou O, Shepherd R, Simon R, Sperling L, Spooner W, Staines DM, Steinbach D, Stone K, Stupka E, Teague JW, Dayem Ullah AZ, Wang J, Ware D, Wong-Erasmus M, Youens-Clark K, Zadissa A, Zhang SJ, Kasprzyk A. The BioMart community portal: an innovative alternative to large, centralized data repositories. Nucleic Acids Res 2015; 43:W589-98. [PMID: 25897122 PMCID: PMC4489294 DOI: 10.1093/nar/gkv350] [Citation(s) in RCA: 501] [Impact Index Per Article: 55.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2015] [Accepted: 04/02/2015] [Indexed: 01/17/2023] Open
Abstract
The BioMart Community Portal (www.biomart.org) is a community-driven effort to provide a unified interface to biomedical databases that are distributed worldwide. The portal provides access to numerous database projects supported by 30 scientific organizations. It includes over 800 different biological datasets spanning genomics, proteomics, model organisms, cancer data, ontology information and more. All resources available through the portal are independently administered and funded by their host organizations. The BioMart data federation technology provides a unified interface to all the available data. The latest version of the portal comes with many new databases that have been created by our ever-growing community. It also comes with better support and extensibility for data analysis and visualization tools. A new addition to our toolbox, the enrichment analysis tool is now accessible through graphical and web service interface. The BioMart community portal averages over one million requests per day. Building on this level of service and the wealth of information that has become available, the BioMart Community Portal has introduced a new, more scalable and cheaper alternative to the large data stores maintained by specialized organizations.
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Affiliation(s)
- Damian Smedley
- Wellcome Trust Sanger Institute, Welcome Trust Genome Campus, Hinxton, CB10 1SD, UK
| | - Syed Haider
- The Weatherall Institute Of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, UK
| | - Steffen Durinck
- Genentech, Inc. 1 DNA Way South San Francisco, CA 94080, USA
| | - Luca Pandini
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - Paolo Provero
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy Dept of Molecular Biotechnology and Health Sciences University of Turin, Italy
| | - James Allen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Olivier Arnaiz
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris Sud, 1 avenue de la terrasse, 91198 Gif sur Yvette, France
| | - Mohammad Hamza Awedh
- Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Richard Baldock
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Giulia Barbiera
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | | | - Tim Beck
- Department of Genetics, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Andrew Blake
- MRC Harwell, Harwell Science and Innovation Campus, Oxfordshire, OX11 0RD, UK
| | | | - Anthony J Brookes
- Department of Genetics, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Gabriele Bucci
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - Iwan Buetti
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - Sarah Burge
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | | | | | - Claude Chelala
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | | | - Davide Cittaro
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | | | - Raul Cordova
- International Potato Center (CIP), Lima, 1558, Peru
| | - Rosalind J Cutts
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Erik Dassi
- Laboratory of Translational Genomics, Centre for Integrative Biology, University of Trento, Trento, Italy
| | - Alex Di Genova
- Center for Mathematical Modeling and Center for Genome Regulation, University of Chile, Beauchef 851, 7th floor, Chile
| | - Anis Djari
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, Castanet-Tolosan, France
| | | | | | - Eduardo Eyras
- Catalan Institute for Research and Advanced Studies (ICREA), Passeig Lluis Companys 23, E-08010 Barcelona, Spain Universitat Pompeu Fabra, Dr Aiguader 88 E-08003 Barcelona, Spain
| | | | - Simon Forbes
- Wellcome Trust Sanger Institute, Welcome Trust Genome Campus, Hinxton, CB10 1SD, UK
| | - Robert C Free
- Department of Genetics, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | | | - Emanuela Gadaleta
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Jose M Garcia-Manteiga
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - David Goodstein
- Department of Energy, Joint Genome Institute, Walnut Creek, USA
| | - Kristian Gray
- HUGO Gene Nomenclature Committee (HGNC), European Bioinformatics Institute (EMBL-EBI) Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK
| | - José Afonso Guerra-Assunção
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Bernard Haggarty
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, EH4 2XU, UK
| | - Dong-Jin Han
- Medicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul 151-742, Republic of Korea
| | - Byung Woo Han
- Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea Information Center for Bio-pharmacological Network, Seoul National University, Suwon 443-270, Republic of Korea
| | - Todd Harris
- Ontario Institute for Cancer Research, Toronto, M5G 0A3, Canada
| | - Jayson Harshbarger
- RIKEN Center for Life Science Technologies (CLST), Division of Genomic Technologies (DGT), Kanagawa, 230-0045, Japan
| | - Robert K Hastings
- Department of Genetics, University of Leicester, University Road, Leicester, LE1 7RH, UK
| | - Richard D Hayes
- Department of Energy, Joint Genome Institute, Walnut Creek, USA
| | - Claire Hoede
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, Castanet-Tolosan, France
| | - Shen Hu
- School of Dentistry and Dental Research Institute, University of California Los Angeles (UCLA), Los Angeles, CA 90095-1668, USA
| | | | - Lucie Hutchins
- Mouse Genomic Informatics Group, The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Zhengyan Kan
- Oncology Computational Biology, Pfizer, La Jolla, USA
| | - Hideya Kawaji
- RIKEN Center for Life Science Technologies (CLST), Division of Genomic Technologies (DGT), Kanagawa, 230-0045, Japan RIKEN Preventive Medicine and Diagnosis Innovation Program, Saitama 351-0198, Japan
| | - Aminah Keliet
- INRA URGI Centre de Versailles, bâtiment 18 Route de Saint Cyr 78026 Versailles, France
| | - Arnaud Kerhornou
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Sunghoon Kim
- Medicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul 151-742, Republic of Korea
| | - Rhoda Kinsella
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Christophe Klopp
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, Castanet-Tolosan, France
| | - Lei Kong
- Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, 100871, P.R. China
| | - Daniel Lawson
- VectorBase, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK
| | - Dejan Lazarevic
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - Ji-Hyun Lee
- Medicinal Bioconvergence Research Center, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea Information Center for Bio-pharmacological Network, Seoul National University, Suwon 443-270, Republic of Korea
| | - Thomas Letellier
- INRA URGI Centre de Versailles, bâtiment 18 Route de Saint Cyr 78026 Versailles, France
| | - Chuan-Yun Li
- Institute of Molecular Medicine, Peking University, Beijing, China
| | - Pietro Lio
- Computer Laboratory, University of Cambridge, Cambridge, CB3 0FD, UK
| | - Chu-Jun Liu
- Institute of Molecular Medicine, Peking University, Beijing, China
| | - Jie Luo
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Alejandro Maass
- Center for Mathematical Modeling and Center for Genome Regulation, University of Chile, Beauchef 851, 7th floor, Chile Department of Mathematical Engineering, University of Chile, Av. Beauchef 851, 5th floor, Santiago, Chile
| | - Jerome Mariette
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, Castanet-Tolosan, France
| | - Thomas Maurel
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Stefania Merella
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - Azza Mostafa Mohamed
- Departament of Biochemistry, Faculty of Science for Girls, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | - Ibounyamine Nabihoudine
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, Castanet-Tolosan, France
| | - Nelson Ndegwa
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, PO Box 281, 17177 Stockholm, Sweden
| | - Céline Noirot
- Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRA, Castanet-Tolosan, France
| | | | - Michael Primig
- Inserm U1085 IRSET, University of Rennes 1, 35042 Rennes, France
| | - Alessandro Quattrone
- Laboratory of Translational Genomics, Centre for Integrative Biology, University of Trento, Trento, Italy
| | - Hadi Quesneville
- INRA URGI Centre de Versailles, bâtiment 18 Route de Saint Cyr 78026 Versailles, France
| | - Davide Rambaldi
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | | | - Michela Riba
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - Steven Rosanoff
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Amna Ali Saddiq
- Department of Biological Sciences, Faculty of Science for Girls, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Elisa Salas
- International Potato Center (CIP), Lima, 1558, Peru
| | | | - Rebecca Shepherd
- Wellcome Trust Sanger Institute, Welcome Trust Genome Campus, Hinxton, CB10 1SD, UK
| | | | - Linda Sperling
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, Université Paris Sud, 1 avenue de la terrasse, 91198 Gif sur Yvette, France
| | - William Spooner
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA Eagle Genomics Ltd., Babraham Research Campus, Cambridge, CB22 3AT, UK
| | - Daniel M Staines
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Delphine Steinbach
- INRA URGI Centre de Versailles, bâtiment 18 Route de Saint Cyr 78026 Versailles, France
| | - Kevin Stone
- Mouse Genomic Informatics Group, The Jackson Laboratory, Bar Harbor, ME 04609, USA
| | - Elia Stupka
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy
| | - Jon W Teague
- Wellcome Trust Sanger Institute, Welcome Trust Genome Campus, Hinxton, CB10 1SD, UK
| | - Abu Z Dayem Ullah
- Centre for Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK
| | - Jun Wang
- Center for Bioinformatics, State Key Laboratory of Protein and Plant Gene Research, College of Life Sciences, Peking University, Beijing, 100871, P.R. China
| | - Doreen Ware
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Marie Wong-Erasmus
- Human Longevity, Inc. 10835 Road to the Cure 140 San Diego, CA 92121, USA
| | - Ken Youens-Clark
- Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Amonida Zadissa
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK
| | - Shi-Jian Zhang
- Institute of Molecular Medicine, Peking University, Beijing, China
| | - Arek Kasprzyk
- Center for Translational Genomics and Bioinformatics San Raffaele Scientific Institute, Via Olgettina 58, 20132 Milan, Italy Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
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16
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Lesur I, Bechade A, Lalanne C, Klopp C, Noirot C, Leplé JC, Kremer A, Plomion C, Le Provost G. A unigene set for European beech (Fagus sylvatica L.) and its use to decipher the molecular mechanisms involved in dormancy regulation. Mol Ecol Resour 2015; 15:1192-204. [PMID: 25594128 DOI: 10.1111/1755-0998.12373] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2014] [Revised: 01/06/2015] [Accepted: 01/13/2015] [Indexed: 11/27/2022]
Abstract
Systematic sequencing is the method of choice for generating genomic resources for molecular marker development and candidate gene identification in nonmodel species. We generated 47,357 Sanger ESTs and 2.2M Roche-454 reads from five cDNA libraries for European beech (Fagus sylvatica L.). This tree species of high ecological and economic value in Europe is among the most representative trees of deciduous broadleaf forests. The sequences generated were assembled into 21,057 contigs with MIRA software. Functional annotations were obtained for 85% of these contigs, from the proteomes of four plant species, Swissprot accessions and the Gene Ontology database. We were able to identify 28,079 in silico SNPs for future marker development. Moreover, RNAseq and qPCR approaches identified genes and gene networks regulated differentially between two critical phenological stages preceding vegetative bud burst (the quiescent and swelling buds stages). According to climatic model-based projection, some European beech populations may be endangered, particularly at the southern and eastern edges of the European distribution range, which are strongly affected by current climate change. This first genomic resource for the genus Fagus should facilitate the identification of key genes for beech adaptation and management strategies for preserving beech adaptability.
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Affiliation(s)
- Isabelle Lesur
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.,Univ. Bordeaux, BIOGECO, UMR 1202, F-33615, Pessac, France.,Helix Venture, F-33700, Mérignac, France
| | - Alison Bechade
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.,Univ. Bordeaux, BIOGECO, UMR 1202, F-33615, Pessac, France
| | - Céline Lalanne
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.,Univ. Bordeaux, BIOGECO, UMR 1202, F-33615, Pessac, France
| | - Christophe Klopp
- Plateforme bioinformatique Genotoul, UR875UR875 Mathématique et Informatique Appliquée de Toulouse, INRA, 31326, Castanet-Tolosan, France
| | - Céline Noirot
- Plateforme bioinformatique Genotoul, UR875UR875 Mathématique et Informatique Appliquée de Toulouse, INRA, 31326, Castanet-Tolosan, France
| | - Jean-Charles Leplé
- INRA, UR0588 Amélioration Génétique et Physiologie Forestières, F-45075, Orléans, France
| | - Antoine Kremer
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.,Univ. Bordeaux, BIOGECO, UMR 1202, F-33615, Pessac, France
| | - Christophe Plomion
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.,Univ. Bordeaux, BIOGECO, UMR 1202, F-33615, Pessac, France
| | - Grégoire Le Provost
- INRA, UMR1202, BIOGECO, F-33610, Cestas, France.,Univ. Bordeaux, BIOGECO, UMR 1202, F-33615, Pessac, France
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Bardou P, Mariette J, Escudié F, Djemiel C, Klopp C. jvenn: an interactive Venn diagram viewer. BMC Bioinformatics 2014; 15:293. [PMID: 25176396 PMCID: PMC4261873 DOI: 10.1186/1471-2105-15-293] [Citation(s) in RCA: 1178] [Impact Index Per Article: 117.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2014] [Accepted: 08/20/2014] [Indexed: 12/28/2022] Open
Abstract
Background Venn diagrams are commonly used to display list comparison. In biology, they are widely used to show the differences between gene lists originating from different differential analyses, for instance. They thus allow the comparison between different experimental conditions or between different methods. However, when the number of input lists exceeds four, the diagram becomes difficult to read. Alternative layouts and dynamic display features can improve its use and its readability. Results jvenn is a new JavaScript library. It processes lists and produces Venn diagrams. It handles up to six input lists and presents results using classical or Edwards-Venn layouts. User interactions can be controlled and customized. Finally, jvenn can easily be embeded in a web page, allowing to have dynamic Venn diagrams. Conclusions jvenn is an open source component for web environments helping scientists to analyze their data. The library package, which comes with full documentation and an example, is freely available at http://bioinfo.genotoul.fr/jvenn.
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Affiliation(s)
| | - Jérôme Mariette
- Plate-forme bio-informatique Genotoul/MIA-T, INRA, Borde Rouge, 31326 Castanet-Tolosan, France.
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