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Indel detection from Whole Genome Sequencing data and association with lipid metabolism in pigs
- Source :
- Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, IRTA Pubpro. Open Digital Archive, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Digital.CSIC. Repositorio Institucional del CSIC, instname, PLoS ONE, PLoS ONE, Vol 14, Iss 6, p e0218862 (2019)
- Publication Year :
- 2019
-
Abstract
- The selection in commercial swine breeds for meat-production efficiency has been increasing among the past decades, reducing the intramuscular fat content, which has changed the sensorial and technological properties of pork. Through processes of natural adaptation and selective breeding, the accumulation of mutations has driven the genetic divergence between pig breeds. The most common and well-studied mutations are single-nucleotide polymorphisms (SNPs). However, insertions and deletions (indels) usually represents a fifth part of the detected mutations and should also be considered for animal breeding. In the present study, three different programs (Dindel, SAMtools mpileup, and GATK) were used to detect indels from Whole Genome Sequencing data of Iberian boars and Landrace sows. A total of 1,928,746 indels were found in common with the three programs. The VEP tool predicted that 1,289 indels may have a high impact on protein sequence and function. Ten indels inside genes related with lipid metabolism were genotyped in pigs from three different backcrosses with Iberian origin, obtaining different allelic frequencies on each backcross. Genome-Wide Association Studies performed in the Longissimus dorsi muscle found an association between an indel located in the C1q and TNF related 12 (C1QTNF12) gene and the amount of eicosadienoic acid (C20:2(n-6)).<br />This work was funded by the Ministerio de Economía y Competitividad (MINECO) and the Fondo Europeo de Desarrollo Regional (FEDER) projects AGL2014-56369-C2-2-R and AGL2017-82641-R. DCP was funded by a “Formacio i Contractacio de Personal Investigador Novell”(FIDGR) Ph.D grant from the Generalitat de Catalunya (ECO/1788/2014). LCM was funded with a FPI grant from the AGL2014-56369-C2 project. MR was also funded by a FI-DGR (ECO/1639/2013). MB was financially supported by a “Ramo´n y Cajal” contract (RYC-2013-12573) from the Spanish Ministry of Economy and Competitiveness. We acknowledge the support of the Spanish Ministry of Economy and Competitiveness for the “Severo Ochoa Programme for Centres of Excellence in R&D” 2016-2019 (SEV-2015-0533) grant awarded to the Centre for Research in Agricultural Genomics and the CERCA Programme / Generalitat de Catalunya.
- Subjects :
- 0301 basic medicine
Male
Heredity
Genotyping Techniques
Swine
Genome-wide association study
Biochemistry
Genome-wide association studies
Gene Frequency
INDEL Mutation
Animal Products
Medicine and Health Sciences
Inbreeding
Genetics
Mammals
Multidisciplinary
Fatty Acids
Eukaryota
High-Throughput Nucleotide Sequencing
food and beverages
Agriculture
Genomics
Lipids
Genetic Mapping
Vertebrates
Medicine
Female
Research Article
Genotyping
Computer and Information Sciences
Meat
Science
Single-nucleotide polymorphism
Variant Genotypes
Biology
Selective breeding
Research and Analysis Methods
Computer Software
03 medical and health sciences
Genome-Wide Association Studies
Animals
Indel
Molecular Biology Techniques
Muscle, Skeletal
Molecular Biology
Alleles
Genetic association
Nutrition
Whole genome sequencing
030102 biochemistry & molecular biology
Whole Genome Sequencing
Organisms
Biology and Life Sciences
Computational Biology
Human Genetics
Genome Analysis
Lipid Metabolism
Diet
030104 developmental biology
Genetic Loci
Food
Amniotes
Genome-Wide Association Study
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, IRTA Pubpro. Open Digital Archive, Institut de Recerca i Tecnologia Agroalimentàries (IRTA), Digital.CSIC. Repositorio Institucional del CSIC, instname, PLoS ONE, PLoS ONE, Vol 14, Iss 6, p e0218862 (2019)
- Accession number :
- edsair.doi.dedup.....0ce885eab6ce1740564be038ca90d77d