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EuroPineDB : a high-coverage web database for maritime pine transcriptome

Fernández-Pozo, Noé (author)
University of Malaga
Canales, Javier (author)
University of Malaga
Guerrero-Fernández, Darío (author)
University of Malaga
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Villalobos, David P (author)
University of Malaga
Díaz-Moreno, Sara M (author)
University of Malaga
Bautista, Rocío (author)
University of Malaga
Flores-Monterroso, Arantxa (author)
University of Malaga
Guevara, M Ángeles (author)
CIFOR-UNIA
Perdiguero, Pedro (author)
Universidad Politecnica de Madrid
Collada, Carmen (author)
Universidad Politecnica de Madrid
Cervera, M Teresa (author)
Universidad Politecnica de Madrid
Soto, Alvaro (author)
Universidad Politecnica de Madrid
Ordás, Ricardo (author)
University of Oviedo
Cantón, Francisco R (author)
University of Malaga
Avila, Concepción (author)
University of Malaga
Cánovas, Francisco M (author)
University of Malaga
Claros, M Gonzalo (author)
University of Malaga
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 (creator_code:org_t)
2011-07-15
2011
English.
In: BMC Genomics. - : Springer Science and Business Media LLC. - 1471-2164. ; 12, s. 366-
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • BACKGROUND: Pinus pinaster is an economically and ecologically important species that is becoming a woody gymnosperm model. Its enormous genome size makes whole-genome sequencing approaches are hard to apply. Therefore, the expressed portion of the genome has to be characterised and the results and annotations have to be stored in dedicated databases. DESCRIPTION: EuroPineDB is the largest sequence collection available for a single pine species, Pinus pinaster (maritime pine), since it comprises 951 641 raw sequence reads obtained from non-normalised cDNA libraries and high-throughput sequencing from adult (xylem, phloem, roots, stem, needles, cones, strobili) and embryonic (germinated embryos, buds, callus) maritime pine tissues. Using open-source tools, sequences were optimally pre-processed, assembled, and extensively annotated (GO, EC and KEGG terms, descriptions, SNPs, SSRs, ORFs and InterPro codes). As a result, a 10.5× P. pinaster genome was covered and assembled in 55 322 UniGenes. A total of 32 919 (59.5%) of P. pinaster UniGenes were annotated with at least one description, revealing at least 18 466 different genes. The complete database, which is designed to be scalable, maintainable, and expandable, is freely available at: http://www.scbi.uma.es/pindb/. It can be retrieved by gene libraries, pine species, annotations, UniGenes and microarrays (i.e., the sequences are distributed in two-colour microarrays; this is the only conifer database that provides this information) and will be periodically updated. Small assemblies can be viewed using a dedicated visualisation tool that connects them with SNPs. Any sequence or annotation set shown on-screen can be downloaded. Retrieval mechanisms for sequences and gene annotations are provided. CONCLUSIONS: The EuroPineDB with its integrated information can be used to reveal new knowledge, offers an easy-to-use collection of information to directly support experimental work (including microarray hybridisation), and provides deeper knowledge on the maritime pine transcriptome.

Subject headings

LANTBRUKSVETENSKAPER  -- Bioteknologi med applikationer på växter och djur -- Växtbioteknologi (hsv//swe)
AGRICULTURAL SCIENCES  -- Agricultural Biotechnology -- Plant Biotechnology (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

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