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Rong Y, Ma R, Zhang Y, Guo Z. Melatonin's effect on hair follicles in a goat ( Capra hircus) animal model. Front Endocrinol (Lausanne) 2024; 15:1361100. [PMID: 38628581 PMCID: PMC11018883 DOI: 10.3389/fendo.2024.1361100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
Introduction Melatonin can treat androgenetic alopecia in males. Goats can be used as animal models to study melatonin treatment for human alopecia. In this study, a meta-analysis of melatonin's effects on goat hair follicles was pursued. Methods Literature from the last 20 years was searched in Scopus, Science Direct, Web of Science and PubMed. Melatonin's effect on goat hair follicles and litter size were performed through a traditional meta-analysis and trial sequential analysis. A network meta-analysis used data from oocyte development to blastocyst. The hair follicle genes regulated by melatonin performed KEGG and PPI. We hypothesized that there are differences in melatonin receptors between different goats, and therefore completed melatonin receptor 1A homology modelling and molecular docking. Results The results showed that melatonin did not affect goat primary follicle or litter size. However, there was a positive correlation with secondary follicle growth. The goat melatonin receptor 1A SNPs influence melatonin's functioning. The wild type gene defect MR1 is a very valuable animal model. Discussion Future studies should focus on the relationship between goat SNPs and the effect of embedded melatonin. This study will provide theoretical guidance for the cashmere industry and will be informative for human alopecia research.
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Affiliation(s)
- Youjun Rong
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Rong Ma
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
| | - Yanjun Zhang
- College of Animal Science, Inner Mongolia Agricultural University, Hohhot, China
- Northern Agriculture and Livestock Husbandry Technical Innovation Center, Chinese Academy of Agricultural Sciences, Hohhot, China
| | - Zhenhua Guo
- Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, Harbin, China
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Xu Y, Zhang X, Hui T, Sun J, Cai W, Lin G, Wang L, Dou X, Wang Z, Han D, Wang J, Zhang Y, Qin Y, Gu M, Bai Z, Sun Y, Wu Y, Chen R, Wang Z. Association analysis for SNPs of KRT26 and TCHH genes with cashmere production performance, body measurement traits and milk production traits in Liaoning cashmere goats. Anim Biotechnol 2021:1-11. [PMID: 34747683 DOI: 10.1080/10495398.2021.1996386] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Cashmere fineness is getting thicker, which is one of the key problems in cashmere breeding, however, there have been no systematic studies on the molecular regulation of cashmere fineness. The aim of this study was to investigate the relationship between KRT26 and TCHH gene polymorphism and production performance in Liaoning cashmere goats (LCG). The potential single nucleotide polymorphisms (SNPs) of LCG were detected by sequence alignment and PCR-Seq polymorphism of KRT26 and TCHH genes and analyzed the effect of SNPs on production performance by SPSS software. Two SNPs sites (A559T and A6839G) of two genes were detected. The AA genotype of KRT26 A559T locus was the dominant genotype. AG and GG at TCHH A6839G locus were the dominant genotypes. AAAA was the dominant haplotype combination. The results showed that KRT26 and TCHH genes were associated with cashmere fineness of LCG, and A559T (AA) and A6839G (GG) genotypes were the preferred marker genotypes for cashmere fineness, which provided more theoretical basis for further research on cashmere fineness.
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Affiliation(s)
- Yanan Xu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Xinjiang Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Taiyu Hui
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Jiaming Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Weidong Cai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Guangyu Lin
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Lingling Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Zhanhong Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Di Han
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Jiaming Wang
- Liaoning Province Modern Agricultural Production Base Construction Engineering Center, Liaoyang, China
| | - Yu Zhang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yuting Qin
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Ming Gu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zhixian Bai
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yinggang Sun
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Yanzhi Wu
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Rui Chen
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
| | - Zeying Wang
- College of Animal Science & Veterinary Medicine, Shenyang Agricultural University, Shenyang, China
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