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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

The aim of this study was to identify single nucleotide polymorphisms (SNPs) that could be associated with back fat thickness (BFT) in pigs. To achieve this goal, we evaluated the potential and limits of an experimental design that combined several methodologies. DNA samples from two groups of Itali...

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Autores principales: Bovo, Samuele, Bertolini, Francesca, Schiavo, Giuseppina, Mazzoni, Gianluca, Dall'Olio, Stefania, Fontanesi, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364060/
https://www.ncbi.nlm.nih.gov/pubmed/25821781
http://dx.doi.org/10.1155/2015/950737
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author Bovo, Samuele
Bertolini, Francesca
Schiavo, Giuseppina
Mazzoni, Gianluca
Dall'Olio, Stefania
Fontanesi, Luca
author_facet Bovo, Samuele
Bertolini, Francesca
Schiavo, Giuseppina
Mazzoni, Gianluca
Dall'Olio, Stefania
Fontanesi, Luca
author_sort Bovo, Samuele
collection PubMed
description The aim of this study was to identify single nucleotide polymorphisms (SNPs) that could be associated with back fat thickness (BFT) in pigs. To achieve this goal, we evaluated the potential and limits of an experimental design that combined several methodologies. DNA samples from two groups of Italian Large White pigs with divergent estimating breeding value (EBV) for BFT were separately pooled and sequenced, after preparation of reduced representation libraries (RRLs), on the Ion Torrent technology. Taking advantage from SNAPE for SNPs calling in sequenced DNA pools, 39,165 SNPs were identified; 1/4 of them were novel variants not reported in dbSNP. Combining sequencing data with Illumina PorcineSNP60 BeadChip genotyping results on the same animals, 661 genomic positions overlapped with a good approximation of minor allele frequency estimation. A total of 54 SNPs showing enriched alleles in one or in the other RRLs might be potential markers associated with BFT. Some of these SNPs were close to genes involved in obesity related phenotypes.
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spelling pubmed-43640602015-03-29 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 Bovo, Samuele Bertolini, Francesca Schiavo, Giuseppina Mazzoni, Gianluca Dall'Olio, Stefania Fontanesi, Luca Int J Genomics Research Article The aim of this study was to identify single nucleotide polymorphisms (SNPs) that could be associated with back fat thickness (BFT) in pigs. To achieve this goal, we evaluated the potential and limits of an experimental design that combined several methodologies. DNA samples from two groups of Italian Large White pigs with divergent estimating breeding value (EBV) for BFT were separately pooled and sequenced, after preparation of reduced representation libraries (RRLs), on the Ion Torrent technology. Taking advantage from SNAPE for SNPs calling in sequenced DNA pools, 39,165 SNPs were identified; 1/4 of them were novel variants not reported in dbSNP. Combining sequencing data with Illumina PorcineSNP60 BeadChip genotyping results on the same animals, 661 genomic positions overlapped with a good approximation of minor allele frequency estimation. A total of 54 SNPs showing enriched alleles in one or in the other RRLs might be potential markers associated with BFT. Some of these SNPs were close to genes involved in obesity related phenotypes. Hindawi Publishing Corporation 2015 2015-03-04 /pmc/articles/PMC4364060/ /pubmed/25821781 http://dx.doi.org/10.1155/2015/950737 Text en Copyright © 2015 Samuele Bovo et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Bovo, Samuele
Bertolini, Francesca
Schiavo, Giuseppina
Mazzoni, Gianluca
Dall'Olio, Stefania
Fontanesi, Luca
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
title 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_short 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
title_sort 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364060/
https://www.ncbi.nlm.nih.gov/pubmed/25821781
http://dx.doi.org/10.1155/2015/950737
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