Literature DB >> 21620329

In silico mining and characterization of simple sequence repeats from gilthead sea bream (Sparus aurata) expressed sequence tags (EST-SSRs); PCR amplification, polymorphism evaluation and multiplexing and cross-species assays.

Emmanouella Vogiatzi1, Jacques Lagnel, Victoria Pakaki, Bruno Louro, Adelino V M Canario, Richard Reinhardt, Georgios Kotoulas, Antonios Magoulas, Costas S Tsigenopoulos.   

Abstract

We screened for simple sequence repeats (SSRs) found in ESTs derived from an EST-database development project ('Marine Genomics Europe' Network of Excellence). Different motifs of di-, tri-, tetra-, penta- and hexanucleotide SSRs were evaluated for variation in length and position in the expressed sequences, relative abundance and distribution in gilthead sea bream (Sparus aurata). We found 899 ESTs that harbor 997 SSRs (4.94%). On average, one SSR was found per 2.95 kb of EST sequence and the dinucleotide SSRs are the most abundant accounting for 47.6% of the total number. EST-SSRs were used as template for primer design. 664 primer pairs could be successfully identified and a subset of 206 pairs of primers was synthesized, PCR-tested and visualized on ethidium bromide stained agarose gels. The main objective was to further assess the potential of EST-SSRs as informative markers and investigate their cross-species amplification in sixteen teleost fish species: seven sparid species and nine other species from different families. Approximately 78% of the primer pairs gave PCR products of expected size in gilthead sea bream, and as expected, the rate of successful amplification of sea bream EST-SSRs was higher in sparids, lower in other perciforms and even lower in species of the Clupeiform and Gadiform orders. We finally determined the polymorphism and the heterozygosity of 63 markers in a wild gilthead sea bream population; fifty-eight loci were found to be polymorphic with the expected heterozygosity and the number of alleles ranging from 0.089 to 0.946 and from 2 to 27, respectively. These tools and markers are expected to enhance the available genetic linkage map in gilthead sea bream, to assist comparative mapping and genome analyses for this species and further with other model fish species and finally to help advance genetic analysis for cultivated and wild populations and accelerate breeding programs.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21620329     DOI: 10.1016/j.margen.2011.01.003

Source DB:  PubMed          Journal:  Mar Genomics        ISSN: 1874-7787            Impact factor:   1.710


  5 in total

1.  Exploring neutral and adaptive processes in expanding populations of gilthead sea bream, Sparus aurata L., in the North-East Atlantic.

Authors:  I Coscia; E Vogiatzi; G Kotoulas; C S Tsigenopoulos; S Mariani
Journal:  Heredity (Edinb)       Date:  2011-11-30       Impact factor: 3.821

2.  Use of comparative genomics to develop EST-SSRs for red drum (Sciaenops ocellatus).

Authors:  Christopher M Hollenbeck; David S Portnoy; John R Gold
Journal:  Mar Biotechnol (NY)       Date:  2012-04-19       Impact factor: 3.619

Review 3.  Microsatellites in Pursuit of Microbial Genome Evolution.

Authors:  Abdullah F Saeed; Rongzhi Wang; Shihua Wang
Journal:  Front Microbiol       Date:  2016-01-05       Impact factor: 5.640

4.  Absence of spatial genetic structure in common dentex (Dentex dentex Linnaeus, 1758) in the Mediterranean Sea as evidenced by nuclear and mitochondrial molecular markers.

Authors:  Alexiane Viret; Dimitris Tsaparis; Costas S Tsigenopoulos; Patrick Berrebi; Andrea Sabatini; Marco Arculeo; Chiheb Fassatoui; Antonios Magoulas; Michel Marengo; Beatriz Morales-Nin; Nathalie Caill-Milly; Eric D H Durieux
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

5.  Fast skeletal muscle transcriptome of the gilthead sea bream (Sparus aurata) determined by next generation sequencing.

Authors:  Daniel Garcia de la Serrana; Alicia Estévez; Karl Andree; Ian A Johnston
Journal:  BMC Genomics       Date:  2012-05-11       Impact factor: 3.969

  5 in total

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