Functional analysis of litter size and number of teats in pigs: From GWAS to post-GWAS

被引:3
|
作者
Martins, Tania Fernandes [1 ,4 ]
Magalhaes, Ana Fabricia Braga [1 ]
Verardo, Lucas Lima [1 ]
Santos, Geovana Cristina [1 ]
Fernandes, Aline Auxiliadora Silva [1 ]
Vieira, Joao Inacio Gomes [1 ]
Irano, Natalia [2 ]
dos Santos, Danielly Beraldo [3 ]
机构
[1] Univ Fed Vales Jequitinhonha & Mucuri, Dept Anim Sci, Highway MGT 367, 5000, BR-39100000 Diamantina, MG, Brazil
[2] Agroceres PIC, Rua 1 JN, 1411, Jardim Novo, Rio Claro, SP, Brazil
[3] Univ Jose Rosa rio Vellano, Dept Mol Biol, Highway MG 179, BR-37132440 Alfenas, MG, Brazil
[4] Univ Fed deVicosa, Dept Anim Sci, BR-36570000 Vicosa, MG, Brazil
关键词
Biological processes; Genome; Production; Pig; Reproduction; GENOME-WIDE ASSOCIATION; MAMMARY-GLAND DEVELOPMENT; FOLLISTATIN-LIKE; 3; NF-KAPPA-B; TRANSCRIPTION FACTOR; CANDIDATE GENES; EXTRACELLULAR-MATRIX; GASTRIC-CANCER; COLLAGEN-VI; EXPRESSION;
D O I
10.1016/j.theriogenology.2022.09.005
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Reproductive traits, such as the number of teats and litter size, are essential for animal breeding pro-grams due to the importance of the production chain, since they influence the maternal ability of the sow and can affect the number of weaned piglets. We aim to identify candidate genes associated with reproductive traits in pigs, using GWAS data from a systematic review combined with sequencing data, to build networks of biological processes and transcription factors (TFs) from the identified genes to highlight the most candidate genes for litter size and the number of teats. In the systematic review, only peer-reviewed articles were used, with descriptors related to the evaluated traits, and selected based on eligibility criteria. Fourteen papers were selected and classified for functional analysis of gene networks with 2077 candidate genes identified. After combining with the list of genes presenting known structural variants in the 50UTR and/or coding region, 306 genes remained to be used to build the gene networks of biological processes and TFs, highlighting processes associated with litter size (e.g., ionotropic glutamate receptor signaling pathway and blastocyte growth) and the number of teats (e.g., growth hormone re-ceptor, regulation of the BMP -Bone Morphogenetic Proteins signaling pathway and blood vessel pro-liferation). Two most candidate genes for litter size trait (GRID2 and PALB2) and six most candidate genes for the number of teats (GHR, IFT80, FSTL3, SKOR1, SMURF1, and AKT3) were prioritized. TFs associated with candidate genes were also identified for litter size (PALB2 and GRID2) and the number of teats (RIN, LTBP2, and COL6A6). Thus, it is suggested that the most candidate genes and TFs presented in this study may play an important role in the traits studied, being important for genetic studies and animal breeding.(c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:157 / 166
页数:10
相关论文
共 50 条
  • [1] Identification and Functional Annotation of Genes Related to Horses' Performance: From GWAS to Post-GWAS
    Littiere, Thayssa O.
    Castro, Gustavo H. F.
    Rodriguez, Maria del Pilar R.
    Bonafe, Cristina M.
    Magalhaes, Ana F. B.
    Faleiros, Rafael R.
    Vieira, Joao I. G.
    Santos, Cassiane G.
    Verardo, Lucas L.
    [J]. ANIMALS, 2020, 10 (07): : 1 - 20
  • [2] Diabetes in the post-GWAS era
    Constantin Polychronakos
    Maha Alriyami
    [J]. Nature Genetics, 2015, 47 : 1373 - 1374
  • [3] Diabetes in the post-GWAS era
    Polychronakos, Constantin
    Alriyami, Maha
    [J]. NATURE GENETICS, 2015, 47 (12) : 1373 - 1374
  • [4] Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs
    L. L. Verardo
    F. F. Silva
    L. Varona
    M. D. V. Resende
    J. W. M. Bastiaansen
    P. S. Lopes
    S. E. F. Guimarães
    [J]. Journal of Applied Genetics, 2015, 56 : 123 - 132
  • [5] Bayesian GWAS and network analysis revealed new candidate genes for number of teats in pigs
    Verardo, L. L.
    Silva, F. F.
    Varona, L.
    Resende, M. D. V.
    Bastiaansen, J. W. M.
    Lopes, P. S.
    Guimares, S. E. F.
    [J]. JOURNAL OF APPLIED GENETICS, 2015, 56 (01) : 123 - 132
  • [6] The open targets post-GWAS analysis pipeline
    Peat, Gareth
    Jones, William
    Nuhn, Michael
    Marugan, Jose Carlos
    Newell, William
    Dunham, Ian
    Zerbino, Daniel
    [J]. BIOINFORMATICS, 2020, 36 (09) : 2936 - 2937
  • [7] Genomics in the Post-GWAS Era
    Juran, Brian D.
    Lazaridis, Konstantinos N.
    [J]. SEMINARS IN LIVER DISEASE, 2011, 31 (02) : 215 - 222
  • [8] The Post-GWAS Era: From Association to Function
    Gallagher, Michael D.
    Chen-Plotkin, Alice S.
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2018, 102 (05) : 717 - 730
  • [9] From candidate gene studies to GWAS and post-GWAS analyses in breast cancer
    Fachal, Laura
    Dunning, Alison M.
    [J]. CURRENT OPINION IN GENETICS & DEVELOPMENT, 2015, 30 : 32 - 41
  • [10] The Genetics of Primary Biliary Cholangitis: A GWAS and Post-GWAS Update
    Hitomi, Yuki
    Nakamura, Minoru
    [J]. GENES, 2023, 14 (02)