Genome-wide association study of growth curve parameters reveals novel genomic regions and candidate genes associated with metatarsal bone traits in chickens

被引:2
|
作者
Wang, S. Z. [1 ,2 ,3 ]
Wang, M. D. [1 ,2 ,3 ]
Wang, J. Y. [1 ,2 ,3 ]
Yuan, M. [1 ,2 ,3 ]
Li, Y. D. [1 ,2 ,3 ]
Luo, P. T. [4 ]
Xiao, F. [4 ]
Li, H. [1 ,2 ,3 ]
机构
[1] Minist Agr & Rural Affairs, Key Lab Chicken Genet & Breeding, Harbin 150030, Peoples R China
[2] Educ Dept Heilongjiang Prov, Key Lab Anim Genet Breeding & Reprod, Harbin 150030, Peoples R China
[3] Northeast Agr Univ, Coll Anim Sci & Technol, Harbin 150030, Peoples R China
[4] Fujian Sunnzer Biotechnol Dev Co Ltd, Guangze 354100, Fujian, Peoples R China
关键词
Genetic basis; Growth and development; Non-linear models; Quantitative trait loci; Skeleton; MODELS; OSTEOPOROSIS; LOCI; FAT;
D O I
10.1016/j.animal.2024.101129
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The growth and development of chicken bones have an enormous impact on the health and production performance of chickens. However, the development pattern and genetic regulation of the chicken skeleton are poorly understood. This study aimed to evaluate metatarsal bone growth and development patterns in chickens via non-linear models, and to identify the genetic determinants of metatarsal bone traits using a genome-wide association study (GWAS) based on growth curve parameters. Data on metatarsal length (MeL) and metatarsal circumference (MeC) were obtained from 471 F 2 chickens (generated by crossing broiler sires, derived from a line selected for high abdominal fat, with Baier layer dams) at 4, 6, 8, 10, and 12 weeks of age. Four non-linear models (Gompertz, Logistic, von Bertalanffy, and Brody) were used to fit the MeL and MeC growth curves. Subsequently, the estimated growth curve parameters of the mature MeL or MeC (A), time-scale parameter (b), and maturity rate (K) from the non-linear models were utilized as substitutes for the original bone data in GWAS. The Logistic and Brody models displayed the best goodness-of-fit for MeL and MeC, respectively. Single-trait and multi-trait GWASs based on the growth curve parameters of the Logistic and Brody models revealed 4 618 significant single nucleotide polymorphisms (SNPs), annotated to 332 genes, associated with metatarsal bone traits. The majority of these significant SNPs were located on Gallus gallus chromosome (GGA) 1 (167.433-176.31 8 Mb), GGA2 (96.791-103.543 Mb), GGA4 (65.003-83.104 Mb) and GGA6 (64.685-95.285 Mb). Notably, we identified 12 novel GWAS loci associated with chicken metatarsal bone traits, encompassing 35 candidate genes. In summary, the combination of single-trait and multi-trait GWASs based on growth curve parameters uncovered numerous genomic regions and candidate genes associated with chicken bone traits. The findings benefit an in-depth understanding of the genetic architecture underlying metatarsal growth and development in chickens. (c) 2024 The Authors. Published by Elsevier B.V. on behalf of The Animal Consortium. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Genome-wide run of homozygosity analysis reveals candidate genomic regions associated with environmental adaptations of Tibetan native chickens
    Jingwei Yuan
    Shijun Li
    Zheya Sheng
    Meikun Zhang
    Xuming Liu
    Zhengdong Yuan
    Ning Yang
    Jilan Chen
    BMC Genomics, 23
  • [32] Identification of potential genomic regions and candidate genes for egg albumen quality by a genome-wide association study
    Qu, Liang
    Shen, Manman
    Guo, Jun
    Wang, Xingguo
    Dou, Taocun
    Hu, Yuping
    Li, Yongfeng
    Ma, Meng
    Wang, Kehua
    Liu, Honglin
    ARCHIVES ANIMAL BREEDING, 2019, 62 (01) : 113 - 123
  • [33] Genome-Wide Association Study Reveals Genomic Regions Associated With Molybdenum Accumulation in Wheat Grains
    Jin, Xiaojie
    Zou, Zhaojun
    Wu, Zhengqing
    Liu, Congcong
    Yan, Songxian
    Peng, Yanchun
    Lei, Zhensheng
    Zhou, Zhengfu
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [34] Genome-wide association study reveals novel QTLs and candidate genes for panicle number in rice
    Guo, Jiangfan
    Wang, Wenbin
    Li, Wei
    FRONTIERS IN GENETICS, 2024, 15
  • [35] Genome-wide association study reveals novel candidate genes for litter size in Markhoz goats
    Mahmoudi, Peyman
    Rashidi, Amir
    Nazari-Ghadikolaei, Anahit
    Rostamzadeh, Jalal
    Razmkabir, Mohammad
    Huson, Heather Jay
    FRONTIERS IN VETERINARY SCIENCE, 2022, 9
  • [36] Genome-Wide Association Study Reveals Novel QTLs and Candidate Genes for Grain Number in Rice
    Li, Peiyuan
    Li, Qing
    Lu, Xueli
    Dai, Liping
    Yang, Long
    Hong, Yifeng
    Yan, Tiancai
    Shen, Lan
    Zhang, Qiang
    Ren, Deyong
    Zhu, Li
    Hu, Jiang
    Dong, Guojun
    Zhang, Guangheng
    Qian, Qian
    Zeng, Dali
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (21)
  • [37] Genome-Wide Association Study Reveals Novel Loci and Candidate Genes for Birth Weight in Pigs
    Liu, Jiajia
    Zeng, Yue
    Tian, Yu
    Cheng, Linghua
    Li, Wenchao
    Cheng, Shunfeng
    Wang, Junjie
    Li, Lan
    ANIMALS, 2025, 15 (06):
  • [38] Genome-wide association study reveals novel QTLs and candidate genes for seed vigor in rice
    Dai, Liping
    Lu, Xueli
    Shen, Lan
    Guo, Longbiao
    Zhang, Guangheng
    Gao, Zhenyu
    Zhu, Li
    Hu, Jiang
    Dong, Guojun
    Ren, Deyong
    Zhang, Qiang
    Zeng, Dali
    Qian, Qian
    Li, Qing
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [39] Genome-wide association study implicates novel loci and reveals candidate effector genes for longitudinal pediatric bone accrual
    Diana L. Cousminer
    Yadav Wagley
    James A. Pippin
    Ahmed Elhakeem
    Gregory P. Way
    Matthew C. Pahl
    Shana E. McCormack
    Alessandra Chesi
    Jonathan A. Mitchell
    Joseph M. Kindler
    Denis Baird
    April Hartley
    Laura Howe
    Heidi J. Kalkwarf
    Joan M. Lappe
    Sumei Lu
    Michelle E. Leonard
    Matthew E. Johnson
    Hakon Hakonarson
    Vicente Gilsanz
    John A. Shepherd
    Sharon E. Oberfield
    Casey S. Greene
    Andrea Kelly
    Deborah A. Lawlor
    Benjamin F. Voight
    Andrew D. Wells
    Babette S. Zemel
    Kurt D. Hankenson
    Struan F. A. Grant
    Genome Biology, 22
  • [40] Genome-wide association study implicates novel loci and reveals candidate effector genes for longitudinal pediatric bone accrual
    Cousminer, Diana L.
    Wagley, Yadav
    Pippin, James A.
    Elhakeem, Ahmed
    Way, Gregory P.
    Pahl, Matthew C.
    McCormack, Shana E.
    Chesi, Alessandra
    Mitchell, Jonathan A.
    Kindler, Joseph M.
    Baird, Denis
    Hartley, April
    Howe, Laura
    Kalkwarf, Heidi J.
    Lappe, Joan M.
    Lu, Sumei
    Leonard, Michelle E.
    Johnson, Matthew E.
    Hakonarson, Hakon
    Gilsanz, Vicente
    Shepherd, John A.
    Oberfield, Sharon E.
    Greene, Casey S.
    Kelly, Andrea
    Lawlor, Deborah A.
    Voight, Benjamin F.
    Wells, Andrew D.
    Zemel, Babette S.
    Hankenson, Kurt D.
    Grant, Struan F. A.
    GENOME BIOLOGY, 2021, 22 (01)