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Analysis of histology and long noncoding RNAs involved in the rabbit hair follicle density using RNA sequencing

Authors :
Haisheng Ding
Huiling Zhao
Xiaowei Zhao
Yunxia Qi
Xiaofei Wang
Dongwei Huang
Source :
BMC Genomics, Vol 22, Iss 1, Pp 1-10 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Hair follicle density influences wool fibre production, which is one of the most important traits of the Wan Strain Angora rabbit. However, molecular mechanisms regulating hair follicle density have remained elusive. Results In this study, hair follicle density at different body sites of Wan Strain Angora rabbits with high and low wool production (HWP and LWP) was investigated by histological analysis. Haematoxylin-eosin staining showed a higher hair follicle density in the skin of the HWP rabbits. The long noncoding RNA (lncRNA) profile was investigated by RNA sequencing, and 50 and 38 differentially expressed (DE) lncRNAs and genes, respectively, were screened between the HWP and LWP groups. A gene ontology analysis revealed that phospholipid, lipid metabolic, apoptotic, lipid biosynthetic, and lipid and fatty acid transport processes were significantly enriched. Potential functional lncRNAs that regulate lipid metabolism, amino acid synthesis, as well as the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) and hedgehog signalling pathways, were identified. Consequently, five lncRNAs (LNC_002171, LNC_000797, LNC_005567, LNC_013595, and LNC_020367) were considered to be potential regulators of hair follicle density and development. Three DE lncRNAs and genes were validated by quantitative real-time polymerase chain reaction (q-PCR). Conclusions LncRNA profiles provide information on lncRNA expression to improve the understanding of molecular mechanisms involved in the regulation of hair follicle density.

Details

Language :
English
ISSN :
14712164
Volume :
22
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Genomics
Publication Type :
Academic Journal
Accession number :
edsdoj.7b1eee7c967a4680a9ed922243d798c3
Document Type :
article
Full Text :
https://doi.org/10.1186/s12864-021-07398-4