Comparison of genomic prediction accuracy using different models for egg production traits in Taiwan country chicken

被引:0
作者
Tu, Tsung-Che [1 ,4 ]
Lin, Chen-Jyuan [1 ]
Liu, Ming-Che [4 ]
Hsu, Zhi-Ting [4 ]
Chen, Chih-Feng [1 ,2 ,3 ]
机构
[1] Natl Chung Hsing Univ, Dept Anim Sci, Taichung 402, Taiwan
[2] Natl Chung Hsing Univ, iEGG, Taichung 402, Taiwan
[3] Natl Chung Hsing Univ, Anim Biotechnol Ctr, Taichung 402, Taiwan
[4] Ray Hsing Agr Biotechnol Co Ltd, Yunlin 633, Taiwan
关键词
single-step GBLUP; genome-wide association study; Taiwan Country chicken; SINGLE NUCLEOTIDE POLYMORPHISMS; WIDE ASSOCIATION; POPULATION; SELECTION; QUALITY; GROWTH; METAANALYSIS; CHROMOSOME; SUBSETS; ABILITY;
D O I
10.1016/j.psj.2024.104063
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
In local chickens targeted for niche markets, genotyping costs are relatively high due to the small population size and diverse breeding goals. The single-step genomic best linear unbiased prediction (ssGBLUP) model, which combines pedigree and genomic information, has been introduced to increase the accuracy of genomic estimated breeding value (GEBV). Therefore, this model may be more beneficial than the genomic BLUP (GBLUP) model for genomic selection in local chickens. Additionally, the single-step genomewide association study (ssGWAS) can be used to extend the ssGBLUP model results to animals with available phenotypic information but without genotypic data. In this study, we compared the accuracy of (G)EBVs using the pedigree-based BLUP (PBLUP), GBLUP, and ssGBLUP models. Moreover, we conducted single-SNP GWAS (SNP-GWAS), GBLUP-GWAS, and ssGWAS methods to identify genes associated with egg production traits in the NCHU-G101 chicken to understand the feasibility of using genomic selection in a small population. The average prediction accuracy of (G)EBV for egg production traits using the PBLUP, GBLUP, and ssGBLUP models is 0.536, 0.531, and 0.555, respectively. In total, 22 suggestive- and 5% Bonferroni genome-wide significant-level SNPs for total egg number (EN), average laying rate (LR), average clutch length, and total clutch number are detected using 3 GWAS methods. These SNPs are mapped onto Gallus gallus chromosomes (GGA) 4, 6, 10, 18, and 25 in NCHU-G101 chicken. Furthermore, through SNP-GWAS and ssGWAS methods, we identify 2 genes on GGA4 associated with EN and LR: ENSGALG00000023172 and PPARGC1A. In conclusion, the ssGBLUP model demonstrates superior prediction accuracy, performing on average 3.41% than the PBLUP model. The implications of our gene results may guide future selection strategies for Taiwan Country chickens. Our results highlight the applicability of the ssGBLUP model for egg production traits selection in a small population, specifically NCHU-G101 chicken in Taiwan.
引用
收藏
页数:19
相关论文
共 101 条
  • [1] Effects of ignoring inbreeding in model-based accuracy for BLUP and SSGBLUP
    Aguilar, Ignacio
    Fernandez, Eduardo N.
    Blasco, Agustin
    Ravagnolo, Olga
    Legarra, Andres
    [J]. JOURNAL OF ANIMAL BREEDING AND GENETICS, 2020, 137 (04) : 356 - 364
  • [2] Frequentist p-values for large-scale-single step genome-wide association, with an application to birth weight in American Angus cattle
    Aguilar, Ignacio
    Legarra, Andres
    Cardoso, Fernando
    Masuda, Yutaka
    Lourenco, Daniela
    Misztal, Ignacy
    [J]. GENETICS SELECTION EVOLUTION, 2019, 51 (1)
  • [3] [Anonymous], 2013, SAS/STAT 9.4 Users Guide
  • [4] Breeding value reliabilities for multiple-trait single-step genomic best linear unbiased predictor
    Ben Zaabza, Hafedh
    Taskinen, Matti
    Mantysaari, Esa A.
    Pitkanen, Timo
    Aamand, Gert Pedersen
    Stranden, Ismo
    [J]. JOURNAL OF DAIRY SCIENCE, 2022, 105 (06) : 5221 - 5237
  • [5] Meta-analysis of genome-wide association from genomic prediction models
    Bernal Rubio, Y. L.
    Gualdron Duarte, J. L.
    Bates, R. O.
    Ernst, C. W.
    Nonneman, D.
    Rohrer, G. A.
    King, A.
    Shackelford, S. D.
    Wheeler, T. L.
    Cantet, R. J. C.
    Steibel, J. P.
    [J]. ANIMAL GENETICS, 2016, 47 (01) : 36 - 48
  • [6] Comparative Investigation of Coincident Single Nucleotide Polymorphisms Underlying Avian Influenza Viruses in Chickens and Ducks
    Bertram, Hendrik
    Wilhelmi, Selina
    Rajavel, Abirami
    Boelhauve, Marc
    Wittmann, Margareta
    Ramzan, Faisal
    Schmitt, Armin Otto
    Gueltas, Mehmet
    [J]. BIOLOGY-BASEL, 2023, 12 (07):
  • [7] Bessei W, 2006, WORLD POULTRY SCI J, V62, P455, DOI [10.1017/S0043933906001085, 10.1079/WPS2005108]
  • [8] The type of bottleneck matters: Insights into the deleterious variation landscape of small managed populations
    Bortoluzzi, Chiara
    Bosse, Mirte
    Derks, Martijn F. L.
    Crooijmans, Richard P. M. A.
    Groenen, Martien A. M.
    Megens, Hendrik-Jan
    [J]. EVOLUTIONARY APPLICATIONS, 2020, 13 (02): : 330 - 341
  • [9] AN ANALYSIS OF TRANSFORMATIONS
    BOX, GEP
    COX, DR
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1964, 26 (02) : 211 - 252
  • [10] Integration of transcriptome sequencing and whole genome resequencing reveal candidate genes in egg production of upright and pendulous-comb chickens
    Cai, Danfeng
    Wang, Zhijun
    Zhou, Zhen
    Lin, Duo
    Ju, Xing
    Nie, Qinghua
    [J]. POULTRY SCIENCE, 2023, 102 (04)