Abstract

Wave patterns in lambskin hair follicles are an important factor determining the quality of sheep’s wool. Hair follicles in lambskin from Hu sheep, a breed unique to China, have 3 types of waves, designated as large, medium, and small. The quality of wool from small wave follicles is excellent, while the quality of large waves is considered poor. Because no molecular and biological studies on hair follicles of these sheep have been conducted to date, the molecular mechanisms underlying the formation of different wave patterns is currently unknown. The aim of this article was to screen the candidate microRNAs (miRNA) and genes for the development of hair follicles in Hu sheep. Two-day-old Hu lambs were selected from full-sib individuals that showed large, medium, and small waves. Integrated analysis of microRNA and mRNA expression profiles employed high-throughout sequencing technology. Approximately 13, 24, and 18 differentially expressed miRNAs were found between small and large waves, small and medium waves, and medium and large waves, respectively. A total of 54, 190, and 81 differentially expressed genes were found between small and large waves, small and medium waves, and medium and large waves, respectively, by RNA sequencing (RNA-seq) analysis. Differentially expressed genes were classified using gene ontology and pathway analyses. They were found to be mainly involved in cell differentiation, proliferation, apoptosis, growth, immune response, and ion transport, and were associated with MAPK and the Notch signaling pathway. Reverse transcription-polymerase chain reaction (RT-PCR) analyses of differentially-expressed miRNA and genes were consistent with sequencing results. Integrated analysis of miRNA and mRNA expression indicated that, compared to small waves, large waves included 4 downregulated miRNAs that had regulatory effects on 8 upregulated genes and 3 upregulated miRNAs, which in turn influenced 13 downregulated genes. Compared to small waves, medium waves included 13 downregulated miRNAs that had regulatory effects on 64 upregulated genes and 4 upregulated miRNAs, which in turn had regulatory effects on 22 downregulated genes. Compared to medium waves, large waves consisted of 13 upregulated miRNAs that had regulatory effects on 48 downregulated genes. These differentially expressed miRNAs and genes may play a significant role in forming different patterns, and provide evidence for the molecular mechanisms underlying the formation of hair follicles of varying patterns.

Highlights

  • Persian lamb skin is one of the “three pillars” of the international fur market

  • The results showed that there were 24 significantly and differentially expressed miRNAs in small and medium waves, and compared to small waves, medium waves contained 18 downregulated miRNAs and 5 upregulated miRNAs

  • There were 18 significantly and differentially expressed miRNA in medium waves and large waves, including 3 downregulated miRNAs and 14 upregulated miRNAs compared to medium waves

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Summary

Introduction

Persian lamb skin is one of the “three pillars” of the international fur market. Its trade volume is 11,000,000 to 13,000,000 tons, accounting for 15%–20% of the world’s fur market in 2007. The Karakul breed of sheep is well known throughout the world, for its lambskin that brand name is “Bukhara”, which is mostly black and gray, and represents about 50% of the world’s lambskin production. To increase the variety of colors in lambskin, black lambskin from Karakul sheep is usually decolorized and dyed with other colors, but the process of decolor can significantly affect its quality. The cultivation of sheep with high-quality white lambskin has been performed for centuries. Hu sheep are a breed with white lambskin that is unique to China, and regarded as a protected breed by the Chinese government. The production of Hu sheep lambskin has increased due to its increased market demand. Identifying, developing, and protecting unique germplasm resources to provide high-quality genetic material for breeding is of great economic value

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