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      SPODOBASE : an EST database for the lepidopteran crop pest Spodoptera

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          Abstract

          Background

          The Lepidoptera Spodoptera frugiperda is a pest which causes widespread economic damage on a variety of crop plants. It is also well known through its famous Sf9 cell line which is used for numerous heterologous protein productions. Species of the Spodoptera genus are used as model for pesticide resistance and to study virus host interactions. A genomic approach is now a critical step for further new developments in biology and pathology of these insects, and the results of ESTs sequencing efforts need to be structured into databases providing an integrated set of tools and informations.

          Description

          The ESTs from five independent cDNA libraries, prepared from three different S. frugiperda tissues (hemocytes, midgut and fat body) and from the Sf9 cell line, are deposited in the database. These tissues were chosen because of their importance in biological processes such as immune response, development and plant/insect interaction. So far, the SPODOBASE contains 29,325 ESTs, which are cleaned and clustered into non-redundant sets (2294 clusters and 6103 singletons). The SPODOBASE is constructed in such a way that other ESTs from S. frugiperda or other species may be added. User can retrieve information using text searches, pre-formatted queries, query assistant or blast searches. Annotation is provided against NCBI, UNIPROT or Bombyx mori ESTs databases, and with GO-Slim vocabulary.

          Conclusion

          The SPODOBASE database provides integrated access to expressed sequence tags (EST) from the lepidopteran insect Spodoptera frugiperda. It is a publicly available structured database with insect pest sequences which will allow identification of a number of genes and comprehensive cloning of gene families of interest for scientific community. SPODOBASE is available from URL: http://bioweb.ensam.inra.fr/spodobase

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          Most cited references35

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          Basic Local Alignment Search Tool

          S Altschul (1990)
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            TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets.

            TGICL is a pipeline for analysis of large Expressed Sequence Tags (EST) and mRNA databases in which the sequences are first clustered based on pairwise sequence similarity, and then assembled by individual clusters (optionally with quality values) to produce longer, more complete consensus sequences. The system can run on multi-CPU architectures including SMP and PVM.
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              The genome sequence of the malaria mosquito Anopheles gambiae.

              Anopheles gambiae is the principal vector of malaria, a disease that afflicts more than 500 million people and causes more than 1 million deaths each year. Tenfold shotgun sequence coverage was obtained from the PEST strain of A. gambiae and assembled into scaffolds that span 278 million base pairs. A total of 91% of the genome was organized in 303 scaffolds; the largest scaffold was 23.1 million base pairs. There was substantial genetic variation within this strain, and the apparent existence of two haplotypes of approximately equal frequency ("dual haplotypes") in a substantial fraction of the genome likely reflects the outbred nature of the PEST strain. The sequence produced a conservative inference of more than 400,000 single-nucleotide polymorphisms that showed a markedly bimodal density distribution. Analysis of the genome sequence revealed strong evidence for about 14,000 protein-encoding transcripts. Prominent expansions in specific families of proteins likely involved in cell adhesion and immunity were noted. An expressed sequence tag analysis of genes regulated by blood feeding provided insights into the physiological adaptations of a hematophagous insect.
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                Author and article information

                Journal
                BMC Bioinformatics
                BMC Bioinformatics
                BioMed Central (London )
                1471-2105
                2006
                23 June 2006
                : 7
                : 322
                Affiliations
                [1 ]Unité Informatique de Centre, INRA-AgroM, 2 place Viala, 34060 Montpellier Cedex 2, France
                [2 ]Unité Biologie Intégrative et Virologie des Insectes, UMR1231, Université UMII, Bât. 24, cc101, place Eugène Bataillon, 34095 Montpellier Cedex 5, France
                [3 ]Unité Résistance des Organismes aux Stress Environnementaux, UMR1112, INRA, 400 route des Chappes, BP167, 06903 Sophia-Antipolis Cedex, France
                [4 ]Insect Genome Laboratory, National Institute of Agrobiological Sciences, 2-1-2 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
                [5 ]Unité Polymorphisme d'Intérêt Agronomique, Dép. AMIS, CIRAD, TA40/03, avenue d'Agropolis, 34398 Montpellier Cedex 5, France
                [6 ]EMI 0229 INSERM, CRLC Val d'Aurelle, 34298 Montpellier Cedex 5, France
                [7 ]Ecole des Mines, Départ. LGEI, 6 av. Clavières, 30319 Alès Cedex, France
                Article
                1471-2105-7-322
                10.1186/1471-2105-7-322
                1539033
                16796757
                dc1fa6c5-d329-4dda-afd3-e9dfa768f37c
                Copyright © 2006 Nègre et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 21 December 2005
                : 23 June 2006
                Categories
                Database

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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