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1. A chromosome-level assembly of the black tiger shrimp ( Penaeus monodon ) genome facilitates the identification of novel growth-associated genes

Author

Wirulda Pootakham, Kanchana Sittikankaew, Frédéric Tangy, Piroon Jenjaroenpun, Jasper J. Koehorst, Intawat Nookaew, Tanaporn Uengwetwanit, Wanilada Rungrassamee, Peter J. Schaap, Pacharaporn Angthong, Jutatip Khudet, Sopacha Arayamethakorn, Rungnapa Leelatanawit, Duangjai Sangsrakru, Vitor A. P. Martins dos Santos, Thidathip Wongsurawat, Chutima Sonthirod, Nitsara Karoonuthaisiri, National Center for Genetic Engineering and Biotechnology [Thailand] (BIOTEC), National Science and Technology Development Agency [Bangkok] (NSTDA), University of Arkansas for Medical Sciences (UAMS), Shrimp Genetic Improvement Center [Thani, Thailand] (SGIC), National Science and Technology Development Agency [Bangkok] (NSTDA)-National Science and Technology Development Agency [Bangkok] (NSTDA), Department of Agrotechnology and Food Sciences [Wageningen], Wageningen University and Research [Wageningen] (WUR), Génomique virale et vaccination, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), This project was funded by National Center for Genetic Engineering and Biotechnology (BIOTEC Platform No. P1651718), TDG Food and Feed program, National Science and Technology Development Agency (No. P1950419) and partially supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 734486 (SAFE-Aqua)., Visiting Professor Program 2019 was awarded to Dr. Intawat Nookaew by the National Science and Technology Development Agency, Thailand., The authors acknowledge NSTDA Supercomputer Center (ThaiSC) for providing HPC resources that have contributed to the research results reported within this paper. We thank Ms. Somjai Wongtripop, Mr. Kaidtisak kaewlok and Shrimp Genetic Improvement Center (SGIC) members, as well as Ms. Sudtida Phuengwas (BIOTEC) for the shrimp sample collection., We acknowledge Zulema Dominguez (University of Arkansas for Medical Sciences, USA) for technical assistance on comparative genome. We are grateful to Prof. Morakot Tanticharoen (NSTDA), Dr. Kanyawim Kirtikara (BIOTEC), Dr. Wonnop Visessanguan (BIOTEC) and Assoc Prof. Skorn Koonawootrittriron (Kasetsart University, Thailand) for their mentorship on the shrimp research programs., and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)

Subjects
growth-associated, [SDV]Life Sciences [q-bio], Sequence assembly, Computational biology, Genome, Penaeus monodon, 03 medical and health sciences, transcriptomics, Hi-C, 14. Life underwater, Black tiger shrimp, genes, Genome size, reference genome, 030304 developmental biology, 2. Zero hunger, Comparative genomics, Whole genome sequencing, PacBio, 0303 health sciences, biology, [SDV.BA]Life Sciences [q-bio]/Animal biology, 04 agricultural and veterinary sciences, Genome project, biology.organism_classification, 040102 fisheries, 0401 agriculture, forestry, and fisheries, Reference genome
Abstract

The black tiger shrimp (Penaeus monodon) is one of the most prominent farmed crustacean species with an average annual global production of 0.5 million tons in the last decade. To ensure sustainable and profitable production through genetic selective breeding programs, several research groups have attempted to generate a reference genome using short-read sequencing technology. However, the currently available assemblies lack the contiguity and completeness required for accurate genome annotation due to the highly repetitive nature of the genome and technical difficulty in extracting high-quality, high-molecular weight DNA in this species. Here, we report the first chromosome-level whole-genome assembly of P. monodon. The combination of long-read Pacific Biosciences (PacBio) and long-range Chicago and Hi-C technologies enabled a successful assembly of this first high-quality genome sequence. The final assembly covered 2.39 Gb (92.3% of the estimated genome size) and contained 44 pseudomolecules, corresponding to the haploid chromosome number. Repetitive elements occupied a substantial portion of the assembly (62.5%), highest of the figures reported among crustacean species. The availability of this high-quality genome assembly enabled the identification of novel genes associated with rapid growth in the black tiger shrimp through the comparison of hepatopancreas transcriptome of slow-growing and fast-growing shrimps. The results highlighted several gene groups involved in nutrient metabolism pathways and revealed 67 newly identified growth-associated genes. Our high-quality genome assembly provides an invaluable resource for accelerating the development of improved shrimp strain in breeding programs and future studies on gene regulations and comparative genomics.

Published
2020

2. Plasmepsin II–III copy number accounts for bimodal piperaquine resistance among Cambodian Plasmodium falciparum

Author

Bopp, S, Magistrado, P, Wong, W, Schaffner, S, Mukherjee, A, Lim, P, Dhorda, M, Amaratunga, C, Woodrow, C, Ashley, E, White, N, Dondorp, A, Fairhurst, R, Ariey, F, Menard, D, Wirth, D, Volkman, S, Harvard T.H. Chan School of Public Health, Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], National Institutes of Health [Bethesda] (NIH), WWARN Asia Regional Centre [Bangkok, Thailand], Mahidol University [Bangkok], Mahidol Oxford Tropical Medicine Research Unit, University of Oxford-Mahidol University [Bangkok], Myanmar Oxford Clinical Research Unit [Yangon, Myanmar], Centre for Tropical Medicine and Global Health [Oxford, UK], Nuffield Department of Medicine [Oxford, UK] (Big Data Institute), University of Oxford-University of Oxford, Mahidol Oxford Tropical Medicine Research Unit (MORU), University of Oxford-Mahidol University [Bangkok]-Wellcome Trust, Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Biologie des Interactions Hôte-Parasite - Biology of Host-Parasite Interactions, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Simmons college, This work was supported in part by the Intramural Research Program of the National Institute of Allergy and Infectious Diseases, National Institutes of Health., We thank Courtney Edison for slide reading and subcloning the KH001_053 isolate., The computations in this paper were run on the Odyssey cluster supported by the FAS Division of Science, Research Computing Group at Harvard University. N.J.W., C.J.W. were supported by Bill and Melinda Gates Foundation Global Health Grant Number OPP1040463, which also funded culture adaptation of the parasites described herein. Additional support was provided to DFW by the Bill and Melinda Gates Foundation Global Health Grant Number OPP1053604. This document is an output from a project of the Tracking Resistance to Artemisinin Collaboration funded by the UK Department for International Development (DFID) for the benefit of developing countries. However, the views expressed and information contained in it are not necessarily those of or endorsed by DFID, which can accept no responsibility for such views or for any reliance place on them., University of Oxford [Oxford]-Mahidol University [Bangkok], University of Oxford [Oxford]-University of Oxford [Oxford], Wellcome Trust-Mahidol University [Bangkok]-University of Oxford [Oxford], and Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Infectious-disease epidemiology, DNA Copy Number Variations, Whole Genome Sequencing, Cell Survival, Science, Plasmodium falciparum, Drug Resistance, Gene Dosage, Protozoan Proteins, Article, Malaria, Target validation, Isoenzymes, Antimalarials, parasitic diseases, Quinolines, Aspartic Acid Endopeptidases, Humans, lcsh:Q, [SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology, lcsh:Science, Cambodia, Antiparasitic agents
Abstract

Multidrug resistant Plasmodium falciparum in Southeast Asia endangers regional malaria elimination and threatens to spread to other malaria endemic areas. Understanding mechanisms of piperaquine (PPQ) resistance is crucial for tracking its emergence and spread, and to develop effective strategies for overcoming it. Here we analyze a mechanism of PPQ resistance in Cambodian parasites. Isolates exhibit a bimodal dose–response curve when exposed to PPQ, with the area under the curve quantifying their survival in vitro. Increased copy number for plasmepsin II and plasmepsin III appears to explain enhanced survival when exposed to PPQ in most, but not all cases. A panel of isogenic subclones reinforces the importance of plasmepsin II–III copy number to enhanced PPQ survival. We conjecture that factors producing increased parasite survival under PPQ exposure in vitro may drive clinical PPQ failures in the field., Piperaquine (PPQ) resistance of Plasmodium is an increasing problem. Here, Bopp et al. find a bimodal dose−response curve of Cambodian isolates exposed to PPQ, with the area under the curve correlating with in vitro PPQ resistance, and show the importance of Plasmepsin II–III copy number to PPQ resistance.

Published
2018

3. Genome-scale rates of evolutionary change in bacteria

Author

Jane Hawkey, David J. Edwards, Simon Le Hello, Kathryn E. Holt, Mathieu Fourment, Edward C. Holmes, François-Xavier Weill, Sebastián Duchêne, Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Centre for Systems Genomics, The University of MelbourneParkville, VIC, Australia., Department of Biochemistry and Molecular Biology, Centre National de Référence - National Reference Center Escherichia coli, Shigella et Salmonella (CNR-ESS), Institut Pasteur [Paris] (IP), This research was funded by the NHMRC (Australia Fellowship#AF30 to E. C. H., Career Development Fellowship #1061409 toK. E. H.). S. D. was supported by a McKenzie fellowship from the University of Melbourne.This paper was supported by the following grant(s):National Health and Medical Research Council 1061409.National Health and Medical Research Council GNT1037231., and Institut Pasteur [Paris]

Subjects
0301 basic medicine, 0106 biological sciences, Mechanisms of Evolution, Evolutionary change, Genome scale, Bacterial genome size, phylogeny, Genome, 010603 evolutionary biology, 01 natural sciences, Orders of magnitude (bit rate), Evolution, Molecular, 03 medical and health sciences, Phylogenetics, evolution, Molecular clock, Evolutionary dynamics, 030304 developmental biology, Whole genome sequencing, Genetics, 0303 health sciences, biology, Bacteria, Models, Genetic, molecular clock, Genetic Variation, General Medicine, biology.organism_classification, Biological Evolution, 030104 developmental biology, Ancient DNA, 13. Climate action, Evolutionary biology, time-dependency, Microbial Evolution and Epidemiology, Mutation, Human genome, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, substitution rates, Genome, Bacterial, Research Paper
Abstract

Estimating the rates at which bacterial genomes evolve is critical to understanding major evolutionary and ecological processes such as disease emergence, long-term host-pathogen associations, and short-term transmission patterns. The surge in bacterial genomic data sets provides a new opportunity to estimate these rates and reveal the factors that shape bacterial evolutionary dynamics. For many organisms estimates of evolutionary rate display an inverse association with the time-scale over which the data are sampled. However, this relationship remains unexplored in bacteria due to the difficulty in estimating genome-wide evolutionary rates, which are impacted by the extent of temporal structure in the data and the prevalence of recombination. We collected 36 whole genome sequence data sets from 16 species of bacterial pathogens to systematically estimate and compare their evolutionary rates and assess the extent of temporal structure in the absence of recombination. The majority (28/36) of data sets possessed sufficient clock-like structure to robustly estimate evolutionary rates. However, in some species reliable estimates were not possible even with “ancient DNA” data sampled over many centuries, suggesting that they evolve very slowly or that they display extensive rate variation among lineages. The robustly estimated evolutionary rates spanned several orders of magnitude, from 10−6 to 10−8 nucleotide substitutions site-1 year-1. This variation was largely attributable to sampling time, which was strongly negatively associated with estimated evolutionary rates, with this relationship best described by an exponential decay curve. To avoid potential estimation biases such time-dependency should be considered when inferring evolutionary time-scales in bacteria.

Published
2016

4. BMC Genomics

Author

Grace C. Davey, Penelope K. Lindeque, Richard Reinhardt, Christophe Klopp, Pascal Favrel, Dario Moraga, Pierre Boudry, Sylvie Lapegue, Patrick Prunet, Arnaud Huvet, Julien de Lorgeril, Jeanne Moal, Viviane Boulo, Elodie Fleury, Christophe Lelong, Christopher Sauvage, Patrick Wincker, François Moreews, Michel Mathieu, Frédérick Gavory, Arnaud Tanguy, Caroline Fabioux, Charlotte Corporeau, Evelyne Bachère, Jenny P. Shaw, Yannick Gueguen, Laboratoire Environnement Ressources Morbihan Pays de Loire (LERMPL), LITTORAL (LITTORAL), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Physiologie et Ecophysiologie des Mollusques Marins (PE2M), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Ecosystèmes lagunaires : organisation biologique et fonctionnement (ECOLAG), Université Montpellier 2 - Sciences et Techniques (UM2)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS), Adaptation et diversité en milieu marin (ADMM), Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université de Brest (UBO), Plymouth Marine Laboratory (PML), Max-Planck-Institut für Molekulare Genetik (MPIMG), Max-Planck-Gesellschaft, Station commune de Recherches en Ichtyophysiologie, Biodiversité et Environnement (SCRIBE), Institut National de la Recherche Agronomique (INRA), Génétique fonctionnelle, agronomie et santé [IFR 140] (GFAS), Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), National Diagnostics Centre (NDC), National University of Ireland [Galway] (NUI Galway), Laboratoire de Génétique et Pathologie (LGP), Amélioration génétique, du contrôle des performances et de la santé des mollusques marins (AGSAE), Genoscope - Centre national de séquençage [Evry] (GENOSCOPE), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Biological systems and models, bioinformatics and sequences (SYMBIOSE), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Systèmes d'Elevage, Nutrition Animale et Humaine (SENAH), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Rennes, Système d'Information des GENomes des Animaux d'Elevage (SIGENAE), Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) (UBIA), Laboratoire de Physiologie des Invertébrés (LPI), Physiologie Fonctionnelle des Organismes Marins (PFOM), The research presented in this paper was performed within the framework of several research projects funded by: Genoscope (11/AP2006-2007), Marine Genomics Network of Excellence (GOCE-CT-2004-505403), the European project 'Aquafirst' (513692) in the Sixth Framework Program, ANR 'CgPhysiogène' (ANR-06-GANI-0009) and 'Gametogenes' (ANR-08-GENM-041), ANR-06-GANI-0009,CgPhysiogene,Bases moléculaires des fonctions physiologiques de l'huître Crassostrea gigas : interactions hôte/pathogène/milieu(2006), ANR-08-GENM-0041,Gametogenes,Génomiques de la gamétogénèse chez l'huître creuse Crassostrea gigas(2008), Laboratoire Laboratoire Environnement Ressources Morbihan Pays de Loire (LER/MPL), Institut de Recherche pour le Développement (IRD)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Centre National de la Recherche Scientifique (CNRS), Adaptation et Biologie des Invertébrés en Conditions Extrêmes (ABICE), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Plymouth Marine Laboratory, Institut National de la Recherche Agronomique (INRA)-IFR140, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Ecole Nationale Supérieure Agronomique de Rennes-Institut National de la Recherche Agronomique (INRA), Unité de Biométrie et Intelligence Artificielle de Toulouse [Castanet-Tolosan] (UBIA), Institut National de la Recherche Agronomique (INRA)-Plateforme bioinformatique du GIS GENOTOUL - Génopole Toulouse Midi-Pyrénées, Laboratoire de Physiologie des Invertébrés [Plouzané] (LPI), Adaptation et diversité en milieu marin (AD2M), Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Recherche Agronomique (INRA), Station biologique de Roscoff (SBR), and Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Oyster, genome annotation, génomique fonctionnelle, computer.software_genre, Genome, User-Computer Interface, single nucleotide polymorphisms, Databases, Genetic, crassostrea gigas, structure du génome, Expressed Sequence Tags, base de données, 0303 health sciences, Expressed sequence tag, biology, Database, 04 agricultural and veterinary sciences, Genomics, crustacea, Pacific oyster, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], energy-balance, factor-beta superfamily, DNA microarray, expression des gènes, Biotechnology, lcsh:QH426-470, Sequence analysis, lcsh:Biotechnology, kappa-b, Polymorphism, Single Nucleotide, génomique, 03 medical and health sciences, biology.animal, lcsh:TP248.13-248.65, Genetics, summer mortality, Animals, Crassostrea, 030304 developmental biology, Gene Library, Whole genome sequencing, [SDV.GEN]Life Sciences [q-bio]/Genetics, huître, cell-development, génome, Gene Expression Profiling, linkage maps, Sequence Analysis, DNA, biology.organism_classification, lcsh:Genetics, coquillage, 040102 fisheries, 0401 agriculture, forestry, and fisheries, identification, marine genomics, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], computer, Microsatellite Repeats
Abstract

Background Although bivalves are among the most-studied marine organisms because of their ecological role and economic importance, very little information is available on the genome sequences of oyster species. This report documents three large-scale cDNA sequencing projects for the Pacific oyster Crassostrea gigas initiated to provide a large number of expressed sequence tags that were subsequently compiled in a publicly accessible database. This resource allowed for the identification of a large number of transcripts and provides valuable information for ongoing investigations of tissue-specific and stimulus-dependant gene expression patterns. These data are crucial for constructing comprehensive DNA microarrays, identifying single nucleotide polymorphisms and microsatellites in coding regions, and for identifying genes when the entire genome sequence of C. gigas becomes available. Description In the present paper, we report the production of 40,845 high-quality ESTs that identify 29,745 unique transcribed sequences consisting of 7,940 contigs and 21,805 singletons. All of these new sequences, together with existing public sequence data, have been compiled into a publicly-available Website http://public-contigbrowser.sigenae.org:9090/Crassostrea_gigas/index.html. Approximately 43% of the unique ESTs had significant matches against the SwissProt database and 27% were annotated using Gene Ontology terms. In addition, we identified a total of 208 in silico microsatellites from the ESTs, with 173 having sufficient flanking sequence for primer design. We also identified a total of 7,530 putative in silico, single-nucleotide polymorphisms using existing and newly-generated EST resources for the Pacific oyster. Conclusion A publicly-available database has been populated with 29,745 unique sequences for the Pacific oyster Crassostrea gigas. The database provides many tools to search cleaned and assembled ESTs. The user may input and submit several filters, such as protein or nucleotide hits, to select and download relevant elements. This database constitutes one of the most developed genomic resources accessible among Lophotrochozoans, an orphan clade of bilateral animals. These data will accelerate the development of both genomics and genetics in a commercially-important species with the highest annual, commercial production of any aquatic organism.

Published
2009