Literature DB >> 27942838

Deciphering the regulation of porcine genes influencing growth, fatness and yield-related traits through genetical genomics.

Angel M Martínez-Montes1, Anixa Muiños-Bühl2, Almudena Fernández2, Josep M Folch3,4, Noelia Ibáñez-Escriche5, Ana I Fernández2.   

Abstract

Genetical genomics approaches aim at identifying quantitative trait loci for molecular traits, also known as intermediate phenotypes, such as gene expression, that could link variation in genetic information to physiological traits. In the current study, an expression GWAS has been carried out on an experimental Iberian × Landrace backcross in order to identify the genomic regions regulating the gene expression of those genes whose expression is correlated with growth, fat deposition, and premium cut yield measures in pig. The analyses were conducted exploiting Porcine 60K SNP BeadChip genotypes and Porcine Expression Microarray data hybridized on mRNA from Longissimus dorsi muscle. In order to focus the analysis on productive traits and reduce the number of analyses, only those probesets whose expression showed significant correlation with at least one of the seven phenotypes of interest were selected for the eGWAS. A total of 63 eQTL regions were identified with effects on 36 different transcripts. Those eQTLs overlapping with phenotypic QTLs on SSC4, SSC9, SSC13, and SSC17 chromosomes previously detected in the same animal material were further analyzed. Moreover, candidate genes and SNPs were analyzed. Among the most promising results, a long non-coding RNA, ALDBSSCG0000001928, was identified, whose expression is correlated with premium cut yield. Association analysis and in silico sequence domain annotation support TXNRD3 polymorphisms as candidate to regulate ALDBSSCG0000001928 expression, which can be involved in the transcriptional regulation of surrounding genes, affecting productive and meat quality traits.

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Year:  2016        PMID: 27942838     DOI: 10.1007/s00335-016-9674-3

Source DB:  PubMed          Journal:  Mamm Genome        ISSN: 0938-8990            Impact factor:   2.957


  63 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-12       Impact factor: 11.205

4.  WNT5 interacts with the Ryk receptors doughnut and derailed to mediate muscle attachment site selection in Drosophila melanogaster.

Authors:  Liza L Lahaye; Rene R Wouda; Anja W M de Jong; Lee G Fradkin; Jasprina N Noordermeer
Journal:  PLoS One       Date:  2012-03-05       Impact factor: 3.240

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Journal:  Nucleic Acids Res       Date:  2014-05-05       Impact factor: 16.971

6.  ALDB: a domestic-animal long noncoding RNA database.

Authors:  Aimin Li; Junying Zhang; Zhongyin Zhou; Lei Wang; Yujuan Liu; Yajun Liu
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

7.  Sweet taste signaling functions as a hypothalamic glucose sensor.

Authors:  Xueying Ren; Ligang Zhou; Rose Terwilliger; Samuel S Newton; Ivan E de Araujo
Journal:  Front Integr Neurosci       Date:  2009-06-19

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Authors:  Jordi Corominas; Yuliaxis Ramayo-Caldas; Anna Puig-Oliveras; Dafne Pérez-Montarelo; Jose L Noguera; Josep M Folch; Maria Ballester
Journal:  PLoS One       Date:  2013-01-14       Impact factor: 3.240

9.  Expression of heat shock protein (Hsp90) paralogues is regulated by amino acids in skeletal muscle of Atlantic salmon.

Authors:  Daniel Garcia de la Serrana; Ian A Johnston
Journal:  PLoS One       Date:  2013-09-06       Impact factor: 3.240

10.  Expression-based GWAS identifies variants, gene interactions and key regulators affecting intramuscular fatty acid content and composition in porcine meat.

Authors:  Anna Puig-Oliveras; Manuel Revilla; Anna Castelló; Ana I Fernández; Josep M Folch; Maria Ballester
Journal:  Sci Rep       Date:  2016-08-18       Impact factor: 4.379

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  3 in total

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Authors:  T Maroilley; G Lemonnier; J Lecardonnel; D Esquerré; Y Ramayo-Caldas; M J Mercat; C Rogel-Gaillard; J Estellé
Journal:  BMC Genomics       Date:  2017-12-13       Impact factor: 3.969

2.  Genome Wide Assessment of Genetic Variation and Population Distinctiveness of the Pig Family in South Africa.

Authors:  Nompilo Lucia Hlongwane; Khanyisile Hadebe; Pranisha Soma; Edgar Farai Dzomba; Farai Catherine Muchadeyi
Journal:  Front Genet       Date:  2020-05-07       Impact factor: 4.599

3.  Genome-wide analysis of expression QTL (eQTL) and allele-specific expression (ASE) in pig muscle identifies candidate genes for meat quality traits.

Authors:  Yan Liu; Xiaolei Liu; Zhiwei Zheng; Tingting Ma; Ying Liu; Huan Long; Huijun Cheng; Ming Fang; Jing Gong; Xinyun Li; Shuhong Zhao; Xuewen Xu
Journal:  Genet Sel Evol       Date:  2020-10-09       Impact factor: 4.297

  3 in total

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