Database of Metagenomes of Sediments from Estuarine Aquaculture Farms in Portugal—AquaRAM Project Collection

Aquaculture farms and estuarine environments close to human activities play a critical role in the interaction between aquatic and terrestrial surroundings and animal and human health. The AquaRAM project aimed to study estuarine aquaculture farms in Portugal as a reservoir of antibiotic resistance...

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Bibliographic Details
Published inData (Basel) Vol. 7; no. 11; p. 167
Main Authors Nogueira, Teresa, Silva, Daniel G, Lopes, Susana, Botelho, Ana
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.11.2022
Subjects
Antibiotics
Antimicrobial agents
Aquaculture
aquaculture farm
Conflicts of interest
Datasets
Downloading
Drug resistance
Estuaries
Estuarine environments
estuary river
Fish-culture
Lagoons
Management
metagenome
Mollusks
Mussels
Nucleotides
oyster aquaculture
Oysters
Phylogenetics
Proteins
Samples
sea bream aquaculture
sediment
Sediments
Portugal
Tagus River
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Summary:Aquaculture farms and estuarine environments close to human activities play a critical role in the interaction between aquatic and terrestrial surroundings and animal and human health. The AquaRAM project aimed to study estuarine aquaculture farms in Portugal as a reservoir of antibiotic resistance genes and the potential of its spread due to mobile genetic elements. We have assembled a collection of metagenomic data from 30 sediment samples from oysters, mussels, and gilt-head sea bream aquaculture farms. This collection includes samples of the estuarine environment of three rivers and one lagoon located from the north to the south of Portugal, namely, the Lima River in Viana do Castelo, Aveiro Lagoon in Aveiro, Tagus River in Alcochete, and Sado River in Setúbal. Statistical data from the raw metagenome files, as well as the file sizes of the assembled nucleotide and protein sequences, are also presented. The link to the statistics and the download page for all the metagenomes is also listed below.
ISSN:2306-5729
2306-5729
DOI:10.3390/data7110167