Literature DB >> 24444082

High-throughput SNP discovery in the rabbit (Oryctolagus cuniculus) genome by next-generation semiconductor-based sequencing.

F Bertolini1, G Schiavo, E Scotti, A Ribani, P L Martelli, R Casadio, L Fontanesi.   

Abstract

The European rabbit (Oryctolagus cuniculus) is a domesticated species with one of the broadest ranges of economic and scientific applications and fields of investigation. Rabbit genome information and assembly are available (oryCun2.0), but so far few studies have investigated its variability, and massive discovery of polymorphisms has not been published yet for this species. Here, we sequenced two reduced representation libraries (RRLs) to identify single nucleotide polymorphisms (SNPs) in the rabbit genome. Genomic DNA of 10 rabbits belonging to different breeds was pooled and digested with two restriction enzymes (HaeIII and RsaI) to create two RRLs which were sequenced using the Ion Torrent Personal Genome Machine. The two RRLs produced 2 917 879 and 4 046 871 reads, for a total of 280.51 Mb (248.49 Mb with quality >20) and 417.28 Mb (360.89 Mb with quality >20) respectively of sequenced DNA. About 90% and 91% respectively of the obtained reads were mapped on the rabbit genome, covering a total of 15.82% of the oryCun2.0 genome version. The mapping and ad hoc filtering procedures allowed to reliably call 62 491 SNPs. SNPs in a few genomic regions were validated by Sanger sequencing. The Variant Effect Predictor Web tool was used to map SNPs on the current version of the rabbit genome. The obtained results will be useful for many applied and basic research programs for this species and will contribute to the development of cost-effective solutions for high-throughput SNP genotyping in the rabbit.
© 2014 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  next-generation sequencing; polymorphisms; reduced representation library; resequencing

Mesh:

Year:  2014        PMID: 24444082     DOI: 10.1111/age.12121

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  5 in total

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Authors:  Yu Wang; Eric C Abenojar; Jing Wang; Al C de Leon; Sidhartha Tavri; Xinning Wang; Ramamurthy Gopalakrishnan; Ethan Walker; Gregory T MacLennan; Anoja Giles; Gregory J Czarnota; James P Basilion; Agata A Exner
Journal:  Prostate       Date:  2022-02-15       Impact factor: 4.104

2.  A next generation semiconductor based sequencing approach for the identification of meat species in DNA mixtures.

Authors:  Francesca Bertolini; Marco Ciro Ghionda; Enrico D'Alessandro; Claudia Geraci; Vincenzo Chiofalo; Luca Fontanesi
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

3.  Reduced Representation Libraries from DNA Pools Analysed with Next Generation Semiconductor Based-Sequencing to Identify SNPs in Extreme and Divergent Pigs for Back Fat Thickness.

Authors:  Samuele Bovo; Francesca Bertolini; Giuseppina Schiavo; Gianluca Mazzoni; Stefania Dall'Olio; Luca Fontanesi
Journal:  Int J Genomics       Date:  2015-03-04       Impact factor: 2.326

4.  Next Generation Semiconductor Based Sequencing of the Donkey (Equus asinus) Genome Provided Comparative Sequence Data against the Horse Genome and a Few Millions of Single Nucleotide Polymorphisms.

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Journal:  PLoS One       Date:  2015-07-07       Impact factor: 3.240

5.  Genomic diversity and signatures of selection in meat and fancy rabbit breeds based on high-density marker data.

Authors:  Mohamad Ballan; Samuele Bovo; Giuseppina Schiavo; Michele Schiavitto; Riccardo Negrini; Luca Fontanesi
Journal:  Genet Sel Evol       Date:  2022-01-21       Impact factor: 4.297

  5 in total

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