Literature DB >> 33509078

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

Haisheng Ding1, Huiling Zhao1, Xiaowei Zhao1, Yunxia Qi1, Xiaofei Wang1, Dongwei Huang2.   

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.

Entities:  

Keywords:  Angora rabbit; Hair follicle density; Histological analysis; LncRNA expression; RNA sequencing; Skin; Wool production

Mesh:

Substances:

Year:  2021        PMID: 33509078      PMCID: PMC7845105          DOI: 10.1186/s12864-021-07398-4

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


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