Two mutations at KRT74 and EDAR synergistically drive the fine-wool production in Chinese sheep
Year: 2023
Type: article
Abstract: INTRODUCTION: Fine-wool sheep are the most common breed used by the wool industry worldwide. Fine-wool sheep have over a three-fold higher follicle density and a 50% smaller fiber diameter than coarse-wool sheep. OBJECTIVES: This study aims to clarify the underlying genetic basis for the denser and finer wool phenotype in fine-wool breeds. METHOD: Whole-genome sequences of 140 samples, Ovine HD630K SNP array data of 385 samples, including fine, semi-fine, and coarse wool sheep, as well as skin transcriptomes of nine samples were integrated for genomic selection signature analysis. RESULTS: Two loci at keratin 74 (KRT74) and ectodysplasin receptor (EDAR) were revealed. Fine-scale analysis in 250 fine/semi-fine and 198 coarse wool sheep narrowed this association to one C/A missense variant of KRT74 (OAR3:133,486,008, P = 1.02E-67) and one T/C SNP in the regulatory region upstream of EDAR (OAR3:61,927,840, P = 2.50E-43). Cellular over-expression and ovine skin section staining assays confirmed that C-KRT74 activated the KRT74 protein and specifically enlarged cell size at the Huxley's layer of the inner root sheath (P < 0.01). This structure enhancement shapes the growing hair shaft into the finer wool than the wild type. Luciferase assays validated that the C-to-T mutation upregulated EDAR mRNA expression via a newly created SOX2 binding site and potentially led to the formation of more hair placodes. CONCLUSIONS: Two functional mutations driving finer and denser wool production were characterized and offered new targets for genetic breeding during wool sheep selection. This study not only provides a theoretical basis for future selection of fine wool sheep breeds but also contributes to improving the value of wool commodities.
Source: Journal of Advanced Research
Institutions: Chinese Academy of Agricultural Sciences, Institute of Animal Sciences, Ministry of Agriculture and Rural Affairs, China Agricultural University, University College Dublin, Jilin Academy of Agricultural Sciences, Xinjiang Agricultural University, Ningxia Academy of Agriculture and Forestry Sciences, Shandong Academy of Agricultural Sciences, Xinjiang Academy of Animal Science, Qingdao Agricultural University
Language: English
Subfield: Genetics
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $2,000
OpenAlex ID: W4367626847
