College of Life Sciences, Yantai University, No.30 Qingquan Road, Laishan District, Yantai, 264005, Shandong, P.R. China.
College of Marine Life Sciences, Ocean University of China, No.5 Yushan Road, Shinan District, Qingdao 266003, Shandong, P.R. China.
Database (Oxford). 2020 Nov 28;2020. doi: 10.1093/database/baaa097.
Algae are the oldest taxa on Earth, with an evolutionary relationship that spans prokaryotes (Cyanobacteria) and eukaryotes. A long evolutionary history has led to high algal diversity. Their organelle DNAs are characterized by uniparental inheritance and a compact genome structure compared with nuclear genomes; thus, they are efficient molecular tools for the analysis of gene structure, genome structure, organelle function and evolution. However, an integrated organelle genome database for algae, which could enable users to both examine and use relevant data, has not previously been developed. Therefore, to provide an organelle genome platform for algae, we have developed a user-friendly database named Organelle Genome Database for Algae (OGDA, http://ogda.ytu.edu.cn/). OGDA contains organelle genome data either retrieved from several public databases or sequenced in our laboratory (Laboratory of Genetics and Breeding of Marine Organism [MOGBL]), which are continuously updated. The first release of OGDA contains 1055 plastid genomes and 755 mitochondrial genomes. Additionally, a variety of applications have been integrated into this platform to analyze the structural characteristics, collinearity and phylogeny of organellar genomes for algae. This database represents a useful tool for users, enabling the rapid retrieval and analysis of information related to organellar genomes for biological discovery.
藻类是地球上最古老的生物类群，其进化关系跨越原核生物（蓝藻）和真核生物。漫长的进化历史导致了藻类的高度多样性。与核基因组相比，藻类细胞器 DNA 具有单亲遗传和紧凑的基因组结构特征；因此，它们是分析基因结构、基因组结构、细胞器功能和进化的有效分子工具。然而，藻类细胞器基因组的综合数据库，能够让用户既可以检查相关数据，也可以使用这些数据，目前还没有开发出来。因此，为了提供藻类细胞器基因组的平台，我们开发了一个用户友好的数据库，名为藻类细胞器基因组数据库（OGDA，http://ogda.ytu.edu.cn/）。OGDA 包含从几个公共数据库中检索或在我们实验室（海洋生物遗传与育种实验室[MOGBL]）中测序的细胞器基因组数据，这些数据会持续更新。OGDA 的第一个版本包含 1055 个质体基因组和 755 个线粒体基因组。此外，还集成了多种应用程序，用于分析藻类细胞器基因组的结构特征、共线性和系统发育。这个数据库是用户的一个有用工具，能够快速检索和分析与细胞器基因组相关的信息，从而促进生物学发现。
