Related Experiment Video
Updated: Aug 6, 2025

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
Mare-MAGE curated reference database of fish mitochondrial genes
Yassine Kasmi1, Erik Eschbach2, Reinhold Hanel2
1Thünen Institute of Fisheries Ecology, Herwigstraße 31, 27572, Bremerhaven, Germany. yassine.kasmi@thuenen.de.
Abstract:
Biodiversity assessment approaches based on molecular biology techniques such as metabarcoding, RAD-seq, or SnaPshot sequencing are increasingly applied in assessing marine and aquatic ecosystems. Here we present a new reference database for fish meta-barcoding based on mitochondrial genes. The Mare-MAGE database contains quality-checked sequences of the mitochondrial 12S ribosomal RNA and Cytochrome c Oxidase I gene. All sequences were obtained from the National Center for Biotechnology Information- GenBank (NBCI-GenBank), the European Nucleotide Archive (ENA), AquaGene Database and BOLD database, and have undergone intensive processing. They were checked for false annotations and non-target anomalies, according to the Integrated Taxonomic Information System (ITIS) and FishBase. The dataset is compiled in ARB-Home, FASTA and Qiime2 formats, and is publicly available from the Mare-MAGE database website ( http://mare-mage.weebly.com/ ). It includes altogether 231,333 COI and 12S rRNA gene sequences of fish, covering 19,506 species of 4,058 genera and 586 families.
Related Concept Videos
Animal Mitochondrial Genetics
Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes
Multi-species Conserved Sequences
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
Export of Mitochondrial and Chloroplast Genes
Genetic Screens
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
Evolutionary Relationships through Genome Comparisons

