Mare-MAGE curated reference database of fish mitochondrial genes

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....

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Main Authors: Yassine Kasmi, Erik Eschbach, Reinhold Hanel
Format: Article
Language:English
Published: BMC 2023-03-01
Series:BMC Genomic Data
Subjects:
Online Access:https://doi.org/10.1186/s12863-023-01119-4
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author Yassine Kasmi
Erik Eschbach
Reinhold Hanel
author_facet Yassine Kasmi
Erik Eschbach
Reinhold Hanel
author_sort Yassine Kasmi
collection DOAJ
description 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.
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spelling doaj.art-71306687265d4f98a7799009b4fae92a2023-03-22T12:31:25ZengBMCBMC Genomic Data2730-68442023-03-0124111210.1186/s12863-023-01119-4Mare-MAGE curated reference database of fish mitochondrial genesYassine Kasmi0Erik Eschbach1Reinhold Hanel2Thünen Institute of Fisheries EcologyThünen Institute of Fisheries EcologyThünen Institute of Fisheries EcologyAbstract 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.https://doi.org/10.1186/s12863-023-01119-4Mare-MAGEMitochondrial databaseFishMetabarcodingeDNA
spellingShingle Yassine Kasmi
Erik Eschbach
Reinhold Hanel
Mare-MAGE curated reference database of fish mitochondrial genes
BMC Genomic Data
Mare-MAGE
Mitochondrial database
Fish
Metabarcoding
eDNA
title Mare-MAGE curated reference database of fish mitochondrial genes
title_full Mare-MAGE curated reference database of fish mitochondrial genes
title_fullStr Mare-MAGE curated reference database of fish mitochondrial genes
title_full_unstemmed Mare-MAGE curated reference database of fish mitochondrial genes
title_short Mare-MAGE curated reference database of fish mitochondrial genes
title_sort mare mage curated reference database of fish mitochondrial genes
topic Mare-MAGE
Mitochondrial database
Fish
Metabarcoding
eDNA
url https://doi.org/10.1186/s12863-023-01119-4
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