Fisheries Technology Institute, Minamiizu Field Station, Japan Fisheries Research and Education Agency, Minamiizu, Kamo, Shizuoka, 415-0156, Japan.
Fisheries Resources Institute, Yokohama Field Station, Japan Fisheries Research and Education Agency, Yokohama, Kanagawa, 236-8648, Japan.
BMC Genomics. 2024 Jun 11;25(1):585. doi: 10.1186/s12864-024-10459-z.
Anguillid eels spend their larval period as leptocephalus larvae that have a unique and specialized body form with leaf-like and transparent features, and they undergo drastic metamorphosis to juvenile glass eels. Less is known about the transition of leptocephali to the glass eel stage, because it is difficult to catch the metamorphosing larvae in the open ocean. However, recent advances in rearing techniques for the Japanese eel have made it possible to study the larval metamorphosis of anguillid eels. In the present study, we investigated the dynamics of gene expression during the metamorphosis of Japanese eel leptocephali using RNA sequencing.
During metamorphosis, Japanese eels were classified into 7 developmental stages according to their morphological characteristics, and RNA sequencing was used to collect gene expression data from each stage. A total of 354.8 million clean reads were generated from the body and 365.5 million from the head, after the processing of raw reads. For filtering of genes that characterize developmental stages, a classification model created by a Random Forest algorithm was built. Using the importance of explanatory variables feature obtained from the created model, we identified 46 genes selected in the body and 169 genes selected in the head that were defined as the "most characteristic genes" during eel metamorphosis. Next, network analysis and subsequently gene clustering were conducted using the most characteristic genes and their correlated genes, and then 6 clusters in the body and 5 clusters in the head were constructed. Then, the characteristics of the clusters were revealed by Gene Ontology (GO) enrichment analysis. The expression patterns and GO terms of each stage were consistent with previous observations and experiments during the larval metamorphosis of the Japanese eel.
Genome and transcriptome resources have been generated for metamorphosing Japanese eels. Genes that characterized metamorphosis of the Japanese eel were identified through statistical modeling by a Random Forest algorithm. The functions of these genes were consistent with previous observations and experiments during the metamorphosis of anguillid eels.
鳗鲡的幼体在柳叶状透明的幼体期(柳叶鳗)经历独特且特化的身体形式,并经历剧烈的变态发育为玻璃鳗幼体。柳叶鳗向玻璃鳗阶段的过渡阶段知之甚少,因为在开阔海域中很难捕获正在变态的幼体。然而,日本鳗鲡养殖技术的最新进展使得研究鳗鲡幼体变态成为可能。在本研究中,我们使用 RNA 测序研究了日本鳗柳叶鳗变态过程中的基因表达动态。
根据形态特征,日本鳗在变态过程中被分为 7 个发育阶段,使用 RNA 测序从每个阶段收集基因表达数据。对原始读段进行处理后,从身体中生成了 35480 万条清洁读段,从头部中生成了 36550 万条清洁读段。为了筛选出特征发育阶段的基因,我们构建了一个基于随机森林算法的分类模型。使用从创建的模型中获得的解释变量特征的重要性,我们在身体中选择了 46 个基因,在头部中选择了 169 个基因,这些基因被定义为鳗鲡变态过程中的“最特征基因”。接下来,使用最特征基因及其相关基因进行网络分析和随后的基因聚类,构建了 6 个身体聚类和 5 个头部聚类。然后,通过基因本体论(GO)富集分析揭示了聚类的特征。每个阶段的表达模式和 GO 术语与之前观察到的和日本鳗幼体变态过程中的实验结果一致。
生成了正在变态的日本鳗的基因组和转录组资源。通过随机森林算法的统计建模,鉴定了特征鳗鲡变态的基因。这些基因的功能与鳗鲡变态过程中的先前观察和实验结果一致。