Transcriptome Dynamics During Turbot Spermatogenesis Predicting the Potential Key Genes Regulating Male Germ Cell Proliferation and Maturation.
Transcriptome Dynamics During Turbot Spermatogenesis Predicting the Potential Key Genes Regulating Male Germ Cell Proliferation and Maturation.
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大菱鲆精子发生过程中的转录组动力学预测调节雄性生殖细胞增殖和成熟的潜在关键基因
DOI：
10.1038/s41598-018-34149-5
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发表时间：
2018-10-25
影响因子：
4.6
通讯作者：
Li J
中科院分区：
文献类型：
--
作者：
Wang X;Liu Q;Xu S;Xiao Y;Wang Y;Feng C;Xue R;Zhao H;Song Z;Li J
精子发生是精原干细胞增殖、分化、成熟为具有功能的精子的动态发育过程。这些过程需要精确的基因调控网络。在这里，我们研究了动态变化，发生在精子发生过程中，通过组织学和转录组分析相结合的不同发育阶段的睾丸。我们构建了18个睾丸转录组文库，unigene的平均长度为1,795 bp，N50为3,240 bp，GC含量为49.25%。在不同发育阶段的睾丸对之间鉴定了与生殖细胞增殖和成熟相关的差异表达基因（DEG），如NANOS 3、RAR、KIFs、类固醇激素合成相关基因和受体基因。对参与精子发生调控的特异性表达模式的DEG进行了基因本体论注释和通路分析。确定了与精子发生相关的9条重要途径，如类固醇激素生物合成途径。通过加权基因共表达网络分析设计了21个模块，范围从49到7，448个基因。此外，通过计算方法总共鉴定了83个候选miRNA。本研究首次从转录组学的角度为大菱鲆精子发生不同发育阶段的基因表达差异提供了证据。
Spermatogenesis is a dynamic developmental process in which spermatogonial stem cells proliferate, differentiate and mature into functional spermatozoa. These processes require an accurate gene regulation network. Here, we investigated the dynamic changes that occur during spermatogenesis through a combination of histological and transcriptome analyses of different developmental stages of the testis. We constructed 18 testis transcriptome libraries, and the average length, N50, and GC content of the unigenes were 1,795 bp; 3,240 bp and 49.25%, respectively. Differentially expressed genes (DEGs) that were related to germ cell proliferation and maturation, such asNANOS3,RARs,KIFs, steroid hormone synthesis-related genes and receptor genes, were identified between pairs of testis at different developmental stages. Gene ontology annotation and pathway analyses were conducted on DEGs with specific expression patterns involved in the regulation of spermatogenesis. Nine important pathways such as steroid hormone biosynthesis related to spermatogenesis were identified. A total of 21 modules that ranged from 49 to 7,448 genes were designed by a weighted gene co-expression network analysis. Furthermore, a total of 83 candidate miRNA were identified by computational methods. Our study provides the first transcriptomic evidence for differences in gene expression between different developmental stages of spermatogenesis in turbot (Scophthalmus maximus).
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