Identification of candidate genes for reproductive traits in cattle using a functional interaction network approach

被引:0
|
作者
Alejandro Paredes-Sanchez, Francisco [1 ]
Trejo-Martinez, Daniel [2 ]
Veronica Herrera-Mayorga, Elsa [3 ]
Arellano-Vera, Williams [4 ]
Rodriguez Almeida, Felipe [5 ]
Maria Sifuentes-Rincon, Ana [4 ]
机构
[1] Univ Autonoma Tamaulipas, IA UAMM, Mante, Mexico
[2] UPIIZ, Inst Politecn Nacl, Zacatecas, Zacatecas, Mexico
[3] Univ Autonoma Tamaulipas IBI, UAMM, Mante, Mexico
[4] Inst Politecn Nacl, Ctr Biotecnol Genom, Lab Biotecnol Anim, Blvd Maestro Esq Elias Pina, Cd Reynosa, Tam, Mexico
[5] Univ Autonoma Chihuahua, Fac Zootecnia & Ecol, Chihuahua, Chihuahua, Mexico
关键词
Bovine; Molecular markers; Semen quality; Ubiquitylation; EXPRESSION;
D O I
10.22319/rmcp.v11i3.5279
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Reproduction is a key element in cattle production systems. Systems biology approaches, including those involving gene networks, have been applied to genetic dissection complex phenotypes in cattle. A set of 385 genes associated with reproductive traits in cattle were included in a protein-protein network analysis to identify and prioritize candidate genes related to phenotypic differences in cattle reproduction. Genes belonging to the ubiquitin family - Ubiquitin C (Ubc, Gene ID: 444874) and Ubiquitin B (Ubb, Gene ID: 281370) -had the highest probability of being associated with these traits in cattle. Both proteins were identified as important hubs in a protein-protein interaction network, each having 3,775 interactions of 3,856 possible. Resequencing of the Ubb gene coding region to evaluate the presence of SNPs in a discovery population identified the G/T (rs110366695) transversion. This causes emergence of a stop codon and a protein truncated by 287 aa. The allelic frequency distributions found in two beef cattle breeds highlight the promise of further research into the effects of protein truncation and the potential of these proteins as molecular markers for semen quality.
引用
收藏
页码:894 / 904
页数:11
相关论文
共 50 条
  • [31] Identification of genes associated with reproductive function in dairy cattle
    Ortega, M. Sofia
    ANIMAL REPRODUCTION, 2018, 15 : 923 - 932
  • [32] Selection signatures in candidate genes and QTL for reproductive traits in Nellore heifers
    Montes, Donicer E.
    Braz, Camila U.
    Ribeiro, Andre M. F.
    Cavani, Ligia
    Barbero, Marina M. D.
    Albuquerque, Lucia G.
    Curi, Rogerio A.
    Oliveira, Henrique N.
    ANIMAL REPRODUCTION SCIENCE, 2019, 207 : 1 - 8
  • [33] Evaluation of genetic differentiation and search for candidate genes for reproductive traits in pigs
    Romanets, Elena
    Bakoev, Siroj
    Romanets, Timofey
    Kolosova, Maria
    Kolosov, Anatoly
    Bakoev, Faridun
    Tretiakova, Olga
    Usatov, Alexander
    Getmantseva, Lyubov
    ANIMAL BIOSCIENCE, 2024, 37 (05) : 832 - 838
  • [34] Identification of Theileria parva Vaccine Candidate Genes Using a Bioinformatics Approach
    de Villiers, Etienne
    INFECTION GENETICS AND EVOLUTION, 2009, 9 (03) : 374 - 375
  • [35] Identification of Idd22 Candidate Genes Using a Bioinformatics Approach
    Whitener, Robert L.
    Ramsuchit, Bhupaul
    Madala, Akshita
    Annamalai, Mani
    Riva, Alberto
    Chen, Jing
    Mathews, Clayton E.
    DIABETES, 2016, 65 : A418 - A419
  • [36] Identification of candidate genes for the diagnosis and treatment of cholangiocarcinoma using a bioinformatics approach
    Zhou, Mi
    Zhu, Yabin
    Hou, Ruixia
    Mou, Xianbo
    Tan, Jun
    ONCOLOGY LETTERS, 2019, 18 (05) : 5459 - 5467
  • [37] Identification and Analysis of Rice Yield-Related Candidate Genes by Walking on the Functional Network
    Jiang, Jing
    Xing, Fei
    Wang, Chunyu
    Zeng, Xiangxiang
    FRONTIERS IN PLANT SCIENCE, 2018, 9
  • [38] Identification and Regulatory Network Analysis of Genes Related to Reproductive Performance in the Hypothalamus and Pituitary of Angus Cattle
    Huang, Yuwen
    Yuan, Chenfeng
    Zhao, Yun
    Li, Chunjin
    Cao, Maosheng
    Li, Haobang
    Zhao, Zijiao
    Sun, Ao
    Basang, Wangdui
    Zhu, Yanbin
    Chen, Lu
    He, Fang
    Huan, Cheng
    Zhang, Boqi
    Iqbal, Tariq
    Wei, Yamen
    Fan, Wenjing
    Yi, Kangle
    Zhou, Xu
    GENES, 2022, 13 (06)
  • [39] Prioritization of candidate genes for cattle reproductive traits, based on protein-protein interactions, gene expression, and text-mining
    Hulsegge, Ina
    Woelders, Henri
    Smits, Mari
    Schokker, Dirkjan
    Jiang, Li
    Sorensen, Peter
    PHYSIOLOGICAL GENOMICS, 2013, 45 (10) : 400 - 406
  • [40] Molecular Interaction Network Approach (MINA) identifies association of novel candidate disease genes
    Kara, Sam
    Hanna, Alaa
    Pirela-Morillo, Gerardo A.
    Gilliam, Conrad T.
    Wilson, George D.
    METHODSX, 2019, 6 : 1286 - 1291