Literature DB >> 28696024

A genome-wide association analysis for carcass traits in a commercial Duroc pig population.

P G Eusebi1, R González-Prendes1, R Quintanilla2, J Tibau3, T F Cardoso1,4, A Clop1, M Amills1,5.   

Abstract

We performed a genome-wide association study to map the genetic determinants of carcass traits in 350 Duroc pigs typed with the Porcine SNP60 BeadChip. Association analyses were carried out using the gemma software. The proportion of phenotypic variance explained by the SNPs ranged between negligible to moderate (hSNP2= 0.01-0.30) depending on the trait under consideration. At the genome-wide level, we detected one significant association between backfat thickness between the 3rd and 4th ribs and six SNPs mapping to SSC12 (37-40 Mb). We also identified several chromosome-wide significant associations for ham weight (SSC11: 51-53 Mb, three SNPs; 67-68 Mb, two SNPs), carcass weight (SSC11: 66-68 Mb, two SNPs), backfat thickness between the 3rd and 4th ribs (SSC12: 21 Mb, one SNP; 33-40 Mb, 17 SNPs; 51-58 Mb, two SNPs), backfat thickness in the last rib (SSC12: 37 Mb, one SNP; 40-41 Mb, nine SNPs) and lean meat content (SSC13: 34 Mb, three SNPs and SSC16: 45.1 Mb, one SNP; 62-63 Mb, 10 SNPs; 71-75 Mb, nine SNPs). The ham weight trait-associated region on SSC11 contains two genes (UCHL3 and LMO7) related to muscle development. In addition, the ACACA gene, which encodes an enzyme for the catalysis of fatty acid synthesis, maps to the SSC12 (37-41 Mb) region harbouring trait-associated regions for backfat thickness traits. Sequencing of these candidate genes may help to uncover the causal mutations responsible for the associations found in the present study.
© 2017 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  backfat thickness; genome-wide association studies; lean meat content; quantitative trait locus

Mesh:

Substances:

Year:  2017        PMID: 28696024     DOI: 10.1111/age.12545

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


  8 in total

1.  Metabolic programming in the offspring after gestational overfeeding in the mother: toward neonatal rescuing with metformin in a swine model.

Authors:  Sílvia Xargay-Torrent; Berta Mas-Parés; Gemma Carreras-Badosa; Esther Lizárraga-Mollinedo; Joan Tibau; Josep Reixach; Estíbaliz Platero-Gutierrez; Anna Prats-Puig; Francis De Zegher; Lourdes Ibáñez; Judit Bassols; Abel López-Bermejo
Journal:  Int J Obes (Lond)       Date:  2022-01-28       Impact factor: 5.095

2.  Genomic Analysis To Identify Signatures of Artificial Selection and Loci Associated with Important Economic Traits in Duroc Pigs.

Authors:  Yunlong Ma; Saixian Zhang; Kaili Zhang; Chengchi Fang; Shengsong Xie; Xiaoyong Du; Xinyun Li; Debin Ni; Shuhong Zhao
Journal:  G3 (Bethesda)       Date:  2018-11-06       Impact factor: 3.154

3.  Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism.

Authors:  Haoran Ma; Saixian Zhang; Kaili Zhang; Huiwen Zhan; Xia Peng; Shengsong Xie; Xinyun Li; Shuhong Zhao; Yunlong Ma
Journal:  Genes (Basel)       Date:  2019-03-28       Impact factor: 4.096

4.  Expression Profile Analysis to Identify Circular RNA Expression Signatures in Muscle Development of Wu'an Goat Longissimus Dorsi Tissues.

Authors:  Zuyang Zhou; Kunyu Li; Jiannan Liu; Hui Zhang; Yekai Fan; Yulin Chen; Haiyin Han; Junqi Yang; Yufang Liu
Journal:  Front Vet Sci       Date:  2022-04-18

5.  Genome-wide association study identifying genetic variants associated with carcass backfat thickness, lean percentage and fat percentage in a four-way crossbred pig population using SLAF-seq technology.

Authors:  Huiyu Wang; Xiaoyi Wang; Dawei Yan; Hao Sun; Qiang Chen; Mingli Li; Xinxing Dong; Yuchun Pan; Shaoxiong Lu
Journal:  BMC Genomics       Date:  2022-08-15       Impact factor: 4.547

6.  Integrated Omics analysis of pig muscle metabolism under the effects of dietary Chlorella vulgaris and exogenous enzymes.

Authors:  Diogo Coelho; David Ribeiro; Hugo Osório; André Martinho de Almeida; José António Mestre Prates
Journal:  Sci Rep       Date:  2022-10-10       Impact factor: 4.996

7.  Co-expression network analysis predicts a key role of microRNAs in the adaptation of the porcine skeletal muscle to nutrient supply.

Authors:  Emilio Mármol-Sánchez; Yuliaxis Ramayo-Caldas; Raquel Quintanilla; Tainã Figueiredo Cardoso; Rayner González-Prendes; Joan Tibau; Marcel Amills
Journal:  J Anim Sci Biotechnol       Date:  2020-01-17

8.  Genome-Wide Association Study and Pathway Analysis for Heterophil/Lymphocyte (H/L) Ratio in Chicken.

Authors:  Jie Wang; Bo Zhu; Jie Wen; Qinghe Li; Guiping Zhao
Journal:  Genes (Basel)       Date:  2020-08-27       Impact factor: 4.096

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.