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Analysis of a deep transcriptome from the mantle tissue of Patella vulgata Linnaeus (Mollusca: Gastropoda: Patellidae) reveals candidate biomineralising genes

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Title
Analysis of a deep transcriptome from the mantle tissue of Patella vulgata Linnaeus (Mollusca: Gastropoda: Patellidae) reveals candidate biomineralising genes
Published in
Marine Biotechnology, August 2012
DOI 10.1007/s10126-012-9481-0
Pubmed ID
Authors

Gijsbert D. A. Werner, Patrick Gemmell, Stefanie Grosser, Rebecca Hamer, Sebastian M. Shimeld

Abstract

The gastropod Patella vulgata is abundant on rocky shores in Northern Europe and a significant grazer of intertidal algae. Here we report the application of Illumina sequencing to develop a transcriptome from the adult mantle tissue of P. vulgata. We obtained 47,237,104 paired-end reads of 51 bp, trialled de novo assembly methods and settled on the additive multiple K method followed by redundancy removal as resulting in the most comprehensive assembly. This yielded 29,489 contigs of at least 500 bp in length. We then used three methods to search for candidate genes relevant to biomineralisation: searches via BLAST and Hidden Markov Models for homologues of biomineralising genes from other molluscs, searches for predicted proteins containing tandem repeats and searches for secreted proteins that lacked a transmembrane domain. From the results of these searches we selected 15 contigs for verification by RT-PCR, of which 14 were successfully amplified and cloned. These included homologues of Pif-177/BSMP, Perlustrin, SPARC, AP24, Follistatin-like and Carbonic anhydrase, as well as three containing extensive G-X-Y repeats as found in nacrein. We selected two for further verification by in situ hybridisation, demonstrating expression in the larval shell field. We conclude that de novo assembly of Illumina data offers a cheap and rapid route to a predicted transcriptome that can be used as a resource for further biological study.

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The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
United States 2 2%
Germany 1 1%
Australia 1 1%
India 1 1%
Brazil 1 1%
Spain 1 1%
China 1 1%
Unknown 74 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 29%
Student > Ph. D. Student 12 14%
Student > Master 11 13%
Professor > Associate Professor 6 7%
Student > Doctoral Student 5 6%
Other 18 21%
Unknown 8 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 52%
Biochemistry, Genetics and Molecular Biology 13 15%
Environmental Science 3 4%
Immunology and Microbiology 3 4%
Chemistry 2 2%
Other 10 12%
Unknown 9 11%