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

Teresa Nogueira (), Daniel G. Silva, Susana Lopes and Ana Botelho
Additional contact information
Teresa Nogueira: INIAV—National Institute for Agrarian and Veterinary Research, IP, 2780-157 Oeiras, Portugal
Daniel G. Silva: INIAV—National Institute for Agrarian and Veterinary Research, IP, 2780-157 Oeiras, Portugal
Susana Lopes: CIBIO—Centro de Investigação em Biodiversidade e Recursos Genéticos, 4485-661 Vairão, Portugal
Ana Botelho: INIAV—National Institute for Agrarian and Veterinary Research, IP, 2780-157 Oeiras, Portugal

Data, 2022, vol. 7, issue 11, 1-9

Abstract: 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.

Keywords: estuary river; aquaculture farm; metagenome; oyster aquaculture; sea bream aquaculture; sediment (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/7/11/167/pdf (application/pdf)
https://www.mdpi.com/2306-5729/7/11/167/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:7:y:2022:i:11:p:167-:d:978740

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().