A Comprehensive Analysis of Runs of Homozygosity of Eleven Cattle Breeds Representing Different Production Types

被引:44
作者
Szmatola, Tomasz [1 ,2 ]
Gurgul, Artur [1 ,2 ]
Jasielczuk, Igor [1 ,2 ]
Zabek, Tomasz [2 ]
Ropka-Molik, Katarzyna [2 ]
Litwinczuk, Zygmunt [3 ]
Bugno-Poniewierska, Monika [4 ]
机构
[1] Agr Univ Krakow, Univ Ctr Vet Med, Al Mickiewicza 24-28, PL-30059 Krakow, Poland
[2] Natl Res Inst Anim Prod, Dept Anim Mol Biol, Krakowska 1, PL-32083 Balice, Poland
[3] Univ Life Sci Lublin, Subdept Cattle Breeding & Genet Resources Conserv, Akad 13, PL-20950 Lublin, Poland
[4] Agr Univ Krakow, Dept Anim Reprod Anat & Genom, Al Mickiewicza 24-28, PL-30059 Krakow, Poland
来源
ANIMALS | 2019年 / 9卷 / 12期
关键词
runs of homozygosity; autozygosity; microarray; cattle; MILK-YIELD; POSITIVE SELECTION; GENE; PROTEIN; GENOME; IDENTIFICATION; AUTOZYGOSITY; TRAITS; FABP4; QTL;
D O I
10.3390/ani9121024
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Simple Summary Runs of homozygosity (ROH) regions are known to be common in the genomes of cattle and have become a subject of interest of various research in recent years. ROH can be used as a valuable tool to estimate inbreeding, which needs to be controlled in livestock populations. Moreover, analysis of ROH is considered to be an effective method of identifying genome regions that are a subject of selection pressure, which may help in understanding the genetic aspects of production traits under selection. In this study, we analyzed ROH characteristics of 11 cattle breeds, both commercial and native, maintained in Poland. We presented distinct differences in the length, quantity and frequency of ROH between the analyzed breeds as well as in the levels of genomic inbreeding. Higher levels of inbreeding were characteristic for commercial breeds, especially beef breeds. In addition, within ROH islands, we observed a number of genes with a confirmed influence on the level of production traits. The presented results and identified genes can be a basis for further research focused on the identification of genes and markers essential in the determination of the most important production traits in cattle. Abstract In the presented research, BovineSNP50 microarrays (Illumina) were applied to determine runs of homozygosity in the genomes of 11 cattle breeds maintained in Poland. These cattle breeds represent three basic utility types: milk, meat and dual purpose. Analysis of runs of homozygosity allowed the evaluation of the level of autozygosity within each breed in order to calculate the genomic inbreeding coefficient (F-ROH), as well as to identify regions of the genome with a high frequency of ROH occurrence, which may reflect traces of directional selectin left in their genomes. Visible differences in the length and distribution of runs of homozygosity in the genomes of the analyzed cattle breeds have been observed. The highest mean number and mean sums of lengths of runs of homozygosity were characteristic for Hereford cattle and intermediate for the Holstein-Friesian Black-and-White variety, Holstein-Friesian Red-and-White variety, Simmental, Limousin, Montbeliarde and Charolais breeds. However, lower values were observed for cattle of conserved breeds. Moreover, the selected livestock differed in the level of inbreeding estimated using the F-ROH coefficient. In regions of the genome with a high frequency of ROH occurrence, which may reflect the impact of directional selection, a number of genes were observed that can be potentially related to the production traits which are under selection pressure for specific production types. The most important detected genes were GHR, MSTN, DGAT1, FABP4, and TRH, with a known influence on the milk and meat traits of the studied cattle breeds.
引用
收藏
页数:24
相关论文
共 62 条
  • [11] Estimates of autozygosity derived from runs of homozygosity: empirical evidence from selected cattle populations
    Ferencakovic, M.
    Hamzic, E.
    Gredler, B.
    Solberg, T. R.
    Klemetsdal, G.
    Curik, I.
    Soelkner, J.
    [J]. JOURNAL OF ANIMAL BREEDING AND GENETICS, 2013, 130 (04) : 286 - 293
  • [12] Estimating autozygosity from high-throughput information: effects of SNP density and genotyping errors
    Ferencakovic, Maja
    Soelkner, Johann
    Curik, Ino
    [J]. GENETICS SELECTION EVOLUTION, 2013, 45
  • [13] Ferencakovic Maja, 2011, Agriculturae Conspectus Scientificus, V76, P325
  • [14] ErbB3 binding protein-1 (Ebp1) controls proliferation and myogenic differentiation of muscle stem cells
    Figeac, Nicolas
    Serralbo, Olivier
    Marcelle, Christophe
    Zammit, Peter S.
    [J]. DEVELOPMENTAL BIOLOGY, 2014, 386 (01) : 135 - 151
  • [15] Genetic Variation in FABP4 and Evaluation of Its Effects on Beef Cattle Fat Content
    Goszczynski, Daniel E.
    Papaleo-Mazzucco, Juliana
    Ripoli, Maria V.
    Villarreal, Edgardo L.
    Rogberg-Munoz, Andres
    Mezzadra, Carlos A.
    Melucci, Lilia M.
    Giovambattista, Guillermo
    [J]. ANIMAL BIOTECHNOLOGY, 2017, 28 (03) : 211 - 219
  • [16] The use of runs of homozygosity for estimation of recent inbreeding in Holstein cattle
    Gurgul, A.
    Szmatola, T.
    Topolski, P.
    Jasielczuk, I.
    Zukowski, K.
    Bugno-Poniewierska, M.
    [J]. JOURNAL OF APPLIED GENETICS, 2016, 57 (04) : 527 - 530
  • [17] EVALUATION OF SOMETRIBOVE IN A PROLONGED-RELEASE SYSTEM IN LACTATING DAIRY-COWS - PRODUCTION RESPONSES
    HARTNELL, GF
    FRANSON, SE
    BAUMAN, DE
    HEAD, HH
    HUBER, JT
    LAMB, RC
    MADSEN, KS
    COLE, WJ
    HINTZ, RL
    [J]. JOURNAL OF DAIRY SCIENCE, 1991, 74 (08) : 2645 - 2663
  • [18] COMPARISON OF VALUES OF PEARSON'S AND SPEARMAN'S CORRELATION COEFFICIENTS ON THE SAME SETS OF DATA
    Hauke, Jan
    Kossowski, Tomasz
    [J]. QUAESTIONES GEOGRAPHICAE, 2011, 30 (02) : 87 - 93
  • [19] Detecting autozygosity through runs of homozygosity: A comparison of three autozygosity detection algorithms
    Howrigan, Daniel P.
    Simonson, Matthew A.
    Keller, Matthew C.
    [J]. BMC GENOMICS, 2011, 12
  • [20] Novel Graphical Analyses of Runs of Homozygosity among Species and Livestock Breeds
    Iacolina, Laura
    Stronen, Astrid V.
    Pertoldi, Cino
    Tokarska, Malgorzata
    Norgaard, Louise S.
    Munoz, Joaquin
    Kjaersgaard, Anders
    Ruiz-Gonzalez, Aritz
    Kaminski, Stanislaw
    Purfield, Deirdre C.
    [J]. INTERNATIONAL JOURNAL OF GENOMICS, 2016, 2016