Androgenic Sensitivities and Ovarian Gene Expression Profiles Prior to Treatment in Japanese Eel (Anguilla japonica)
| Autor: | Chung Yen Lin, Wen-Chih Cheng, Yung-Sen Huang |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0301 basic medicine endocrine system Ovary Aquaculture 01 natural sciences Applied Microbiology and Biotechnology Japonica Transcriptome Andrology 03 medical and health sciences Methyltestosterone 010608 biotechnology Gene expression medicine Animals Japanese eel Gene biology Neurogenesis High-Throughput Nucleotide Sequencing Anguilla biology.organism_classification Oocyte 030104 developmental biology medicine.anatomical_structure Androgens Oocytes Female |
| Zdroj: | Marine Biotechnology. 23:430-444 |
| ISSN: | 1436-2236 1436-2228 |
| DOI: | 10.1007/s10126-021-10035-6 |
| Popis: | Androgens stimulate ovarian development in eels. Our previous report indicated a correlation between the initial (debut) ovarian status (determined by kernel density estimation (KDE), presented as a probability density of oocyte size) and the consequence of 17MT treatment (change in ovary). The initial ovarian status appeared to be an important factor influencing ovarian androgenic sensitivity. We postulated that the sensitivities of initial ovaries are correlated with their gene expression profiles. Japanese eels underwent operation to sample the initial ovarian tissues, and the samples were stored in liquid nitrogen. Using high-throughput next-generation sequencing (NGS) technology, ovarian transcriptomic data were mined and analyzed based on functional gene classification with cutoff-based differentially expressed genes (DEGs); the ovarian status was transformed into gene expression profiles globally or was represented by a set of gene list. Our results also implied that the initial ovary might be an important factor influencing the outcomes of 17MT treatments, and the genes related with neuronal activities or neurogenesis seemed to play an essential role in the positive effect. |
| Databáze: | OpenAIRE |
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