399
Views
11
CrossRef citations to date
0
Altmetric
Articles

Detecting novel Indel variants within the GHR gene and their associations with growth traits in Luxi Blackhead sheep

ORCID Icon, , , , , , , , , & show all
Pages 214-222 | Published online: 02 Jul 2020
 

Abstract

The growth hormone is important in the regulation of metabolism and energy homeostasis and acts through a growth hormone receptor (GHR). In this work, genetic variations within the ovine GHR gene were identified and tested for associations with body morphometric traits in Chinese Luxi Blackhead (LXBH) sheep. Novel deletion loci in the LXBH GHR gene included P2-del-23 bp and P8-del-23 bp indel variants. The polymorphic information content (PIC) was 0.329 in P2-del-23 bp and 0.257 in P8-del-23 bp. Moreover, both indel polymorphisms were not at Hardy-Weinberg equilibrium (p < 0.05) in the LXBH population. Statistical analyses revealed that the P2-del-23 bp and P8-del-23 bp indels were significantly associated (p < 0.05) with several growth traits in rams and ewes, including body weight, body height, chest depth, chest width, chest circumference, cannon circumference, paunch girth and hip width. Among the tested sheep, the body traits of those with genotype DD were superior to those with II and ID genotypes, suggesting that the ‘D’ allele was responsible for the positive effects on growth traits. Thus, these results indicate that the P2-del-23 bp and P8-del-23 bp indel sites and the DD genotype can be useful in marker-assisted selection in sheep.

Acknowledgments

We thank Shandong Academy of Agricultural Sciences for providing samples and phenotypic traits data of Luxi Blackhead sheep and Shaanxi Key Laboratory of Molecular Biology for Agriculture and The Life Science Research Core Services (LSRCS) of Northwest A&F University (Northern Campus) for their cooperation and support.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Science and Technology innovation team and innovation project of ten agricultural characteristic industries in Jinan [No.201901], Agricultural Science and Technology Innovation Project of Shandong Academy of Agricultural Sciences [CXGC2018E10].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access
  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart
* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.