Biodiversity Data Journal : OMIC Data Paper
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OMIC Data Paper
First release of the European marine omics biodiversity observation network (EMO BON) shotgun metagenomics data from water and sediment samples
expand article infoChristina Pavloudi, Ioulia Santi‡,§, Iñigo Azua|, Zuriñe Baña|, Mauro Bastianini, Caroline Belser#, Jone Bilbao¤, Julie Bitz-Thorsen«, Caroline Broudin», Mathieu Camusat», Ibon Cancio˄, Louis Caray-Counil˅, Raffaella Casotti¦, Jade Castel», Thierry Comtetˀ, Cymon J Coxˁ, Claire Daguinˀ, Oihane Díaz de Cerio˄, Katrina Exter, Cécile Fauvelot, Miguel J. Frada, Pierre E Galand, Laurence Garczarekˀ, Jose González Fernández, Laure Guillouˀ, Pascal I. Hablützel₵,, Hanneloor Heynderickx, Céline Houbin», Anne Emmanuelle Kervella, Apostolos Krystallas§, Rune Lagaisse, Arnaud Laroquette, Lyvia Lescure, Eva Lopes, Melina Loulakaki§, Bruno Louroˁ, Catarina Magalhaes, Maria Maidanou§, Francesca Margiotta, Marina Montresor¦, Fabrice Notˀ, Estefanía Paredes₳,, Isabella Percopo, Erwan Péru, Julie Poulain#, Kim Præbel«, Fabienne Rigaut-Jalabert», Sarah Romacˀ, Melanthia Stavroulaki§, Jesús Souza Troncoso₳,, Eric Thiébaut, Wilfried Thomas», Andrzej Tkaczˁ, Anna Chiara Trano, Patrick Wincker#, Nicolas Pade
‡ European Marine Biological Resource Centre (EMBRC-ERIC), Paris, France
§ Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC), Hellenic Centre for Marine Research (HCMR), Heraklion, Greece
| Department of Immunology, Microbiology and Parasitology, Faculty of Science and Technology and Research Centre for Experimental Marine Biology and Biotechnology, Plentziako itsas Estazioa (PiE-UPV/EHU), University of the Basque Country (UPV/EHU), Biscay, Spain
¶ CNR-National Research Council, ISMAR - Institute of Marine Sciences, Venice, Italy
# Génomique Métabolique, Genoscope, Institut François Jacob, Commissariat à l’Energie Atomique (CEA), CNRS, Université Evry, Université Paris-Saclay, 2 Rue Gaston Crémieux, 91057, Evry, France
¤ Department of Plant Biology and Ecology, Faculty of Science and Technology and Research Centre for Experimental Marine Biology and Biotechnology, Plentziako itsas Estazioa (PiE-UPV/EHU), University of the Basque Country (UPV/EHU), Biscay, Spain
« Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø, Norway
» Sorbonne Université, CNRS, FR2424, Station Biologique de Roscoff, 29680, Roscoff, France
˄ Department of Zoology and Animal Cell Biology, Faculty of Science and Technology and Research Centre for Experimental Marine Biology and Biotechnology, Plentziako itsas Estazioa (PiE-UPV/EHU), University of the Basque Country (UPV/EHU), Biscay, Spain
˅ Sorbonne University, CNRS, Laboratoire d’Océanographie de Villefranche, Villefranche-sur-Mer, France
¦ Integrative Marine Ecology Department, Stazione Zoologica Anton Dorn, Naples, Italy
ˀ Sorbonne Université, CNRS, Adaptation et Diversité en Milieu Marin, AD2M, 29680, Roscoff, France
ˁ Centro de Ciências do Mar, Universidade do Algarve, Faro, Portugal
₵ Flanders Marine Institute [Vlaams Instituut voor de Zee (VLIZ)], Ostend, Belgium
ℓ UMR ENTROPIE (IRD, Université de La Réunion, CNRS, IFREMER, Université de la Nouvelle-Calédonie), Villefranche-sur-Mer, France and Sorbonne University, CNRS, Laboratoire d’Océanographie de Villefranche, Villefranche-sur-Mer, France
₰ Department of Ecology, Evolution and Behavior, Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel and The Interuniversity Institute for Marine Sciences in Eilat, Eilat, Israel
₱ Sorbonne Université, CNRS, Laboratoire d’Ecogéochimie des Environnements Benthiques (LECOB), Observatoire Océanologique de Banyuls, Banyuls sur Mer, France
₳ Centro de Investigación Mariña, Universidade de Vigo, Estación de Ciencias Mariñas de Toralla, Vigo, Spain
₴ Vrije Universiteit Brussel, Brussel, Belgium
₣ CIIMAR–Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Matosinhos, Portugal, Department of Biology, FCUP–Faculty of Sciences of the University of Porto, Porto, Portugal
₮ Stazione Zoologica Anton Dohrn, Naples, Italy
₦ Department of Ecology and Animal Biology, ECOCOST group, Marine Sciences Faculty, University of Vigo, Vigo, Spain
₭ Sorbonne Université, CNRS, OSU STAMAR, Station Biologique de Roscoff, 29680, Roscoff, France
Open Access

Abstract

The European Marine Omics Biodiversity Observation Network (EMO BON) is an initiative of the European Marine Biological Resource Centre (EMBRC) to establish a persistent genomic observatory amongst designated European coastal marine sites, sharing the same protocols for sampling and data curation. Environmental samples are collected from the water column and, at some sites, soft sediments and hard substrates (Autonomous Reef Monitoring Structures - ARMS), together with a set of mandatory and discretionary metadata (including Essential Ocean Variables - EOVs). Samples are collected following standardised protocols at regular and specified intervals and sequenced in large six-monthly batches at a centralised sequencing facility. The use of standard operating procedures (SOPs) during data collection, library preparation and sequencing aims to provide uniformity amongst the data collected from the sites. Coupled with strict adherence to open and FAIR (Findable, Accessible, Interoperable, Reusable) data principles, this ensures maximum comparability amongst samples and enhances reusability and interoperability of the data with other data sources. The observatory network was launched in June 2021, when the first sampling campaign took place.

Introduction

Here we report the first data release from the European Marine Omics Biodiversity Observation Network (EMO BON) (Santi et al. 2023). This release includes data derived from water and sediment samples that were collected between June and September 2021 from the 13 observatories, across European seas and the Red Sea.

Value of the dataset

This dataset includes raw DNA sequences obtained from shotgun metagenomics sequencing of water and sediment samples from 13 selected observatories across Europe and the Red Sea. The raw sequence data are released in the European Nucleotide Archive (ENA) (Yuan et al. 2024) with metadata associated with the sampling event, sample preparation and sequencing procedures and a diverse set of measured environmental parameters available in the associated BioSamples (Courtot et al. 2021), such as temperature, salinity and nutrient concentrations.

This dataset contributes to the ongoing efforts of the Ocean Biodiversity Information System (OBIS), which aims at filling the gaps in our current knowledge on biodiversity of the world's oceans. Processed data will be published in OBIS and in the Global Biodiversity Information Facility (GBIF), using the DNA extension of the Darwin Core format. In addition, processed data, once available in OBIS and GBIF, will be incorporated in the European Marine Observation and Data Network (EMODnet) and the European Digital Twin of the Ocean (European DTO) initiatives.

Methods

Sampling

Sample collection was conducted under the standard operating procedures of the EMO BON Handbook (Santi et al. 2021). Water samples were collected and processed according to the "Water Column Standard Operating Procedures 1 ‒ WaSOP 1 (basic)": subsurface seawater was collected from the water column sampling site of each observatory, pre-filtered (> 200 μm) and concentrated by sequential filtration on polycarbonate (PC) membrane filters of 142 mm in diameter and pore sizes 3 µm and 0.2 µm. This resulted in two different plankton size fractions: 3-200 μm and 0.2-3 μm. After filtration, each filter membrane was cut into two pieces by a sterile scalpel and each filter piece was considered to represent one replicate. In total, four replicates were collected from each sampling, since two separate sequential filtrations were conducted at each sampling site. Subsequenctly, membranes (replicates 1 and 2) were placed in individual containers with the DNA/RNA shield preservative (Zymo Research), flash frozen in liquid nitrogen and stored at -80oC until shipment to the sequencing facility. Filter membranes that were collected for biobanking (replicates 3 and 4) were preserved in cryotubes without the addition of DNA/RNA Shield and stored at -80oC.

Sediment samples were collected and processed, based on all the three proposed protocols. Briefly, observatories NRMCB and RiaFormosa used the 'Soft Substrate Standard Operating Procedures 1 – SoSOP 1 (intertidal sediments)", while OOB and ROSKOGO used the "Soft substrate Standard Operating Procedures 2 – SoSOP 2 (coastal sediments by diving)" and BPNS used "Soft substrate Standard Operating Procedures 3 ‒ SoSOP 3 (coastal sediments by research vessel)". Regardless of the choice of protocol, the steps regarding collection of sediment for microbial community assessment include the use of sediment cores and the subsequent slicing of the top 5 cm layer. As for the water samples, four replicates are collected for the sediment sampling; DNA/RNA shield was added in two of the replicates, which were the ones shipped for sequencing.

Geographic range

The dataset's geographical range includes 14 locations (13 observatories) across eight ecoregions, based on the Marine Ecoregions of the World (MEOW), proposed by Spalding et al. (2007) (Table 1; Fig. 1); details are also provided regarding the locality of the observatories, from the broader (ocean/sea) to the regional and the local scale.

Table 1.

Locality and coordinates of the sampling stations.

Observatory Coordinates Marine Ecoregion of the World (MEOW) Ocean/Sea Region Location Water sampling Sediment sampling Number of collected samples Number of successfully sequenced samples
AAOT 45.31417 N; 12.508333 E Adriatic Sea Mediterranean Sea - Eastern Basin Adriatic Sea Gulf of Venice Yes 8 7
BPNS 51.43333 N; 2.808331 E North Sea North Atlantic Ocean North Sea Belgian part of the North Sea Yes Yes 12 11
EMT21 42.20194 N; -8.798500 E South European Atlantic Shelf Atlantic Ocean North Atlantic Ocean Vigo Seamount Yes 4 4
ESC68N 68.92589 N; 17.125619 E Northern Norway and Finnmark Arctic Ocean Norwegian Sea Norwegian part of the Norwegian Sea Yes 4 4
HCMR-1 35.34662 N; 25.278761 E Aegean Sea Mediterranean Sea - Eastern Basin Aegean Sea Crete Sea Yes 12 5
IUIEilat 29.50000 N; 34.916667 E Northern and Central Red Sea Indian Ocean Gulf of Eilat Gulf of Eilat Yes 4 4
NRMCB 40.80014 N; 14.250000 E Western Mediterranean Mediterranean Sea - Western Basin Tyrrhenian Sea Naples Gulf Yes Yes 18 13
OOB 42.48417 N; 3.135278 E Western Mediterranean Mediterranean Sea - Western Basin Gulf of Lion Bay of Banyuls-sur-Mer Yes 3 1
OSD74 41.14653 N; -8.666639 E South European Atlantic Shelf Atlantic Ocean North Atlantic Ocean Porto Valley Yes 3 3
PiEGetxo 43.33858 N; -3.014639 E South European Atlantic Shelf North Atlantic Ocean Bay of Biscay Abra de Bilbao Yes 6 6
RFormosa 37.00564 N; -7.969250 E South European Atlantic Shelf Atlantic Ocean North Atlantic Ocean Ria Formosa Yes Yes 6 6
ROSKOGO 48.70833 N; -3.866000 E Celtic Seas North Atlantic Ocean English Channel French part of the English Channel Yes 2 2
ROSKOGO 48.77167 N; -3.968333 E Celtic Seas North Atlantic Ocean English Channel French part of the English Channel Yes 8 6
VB 43.68300 N; 7.317000 E Western Mediterranean Mediterranean Sea - Western Basin Villefranche Bay Villefranche Bay - Point B Yes 8 8
Figure 1.

Map of the observatories collecting:

asediment samples;  
bwater samples.  

DNA extraction, library preparation and sequencing

DNA extraction was performed at Genoscope, which was the chosen centralised facility to minimise biases and follow the same standardised procedures. For DNA extraction of the water column filter samples, the same protocol as described by Alberti et al. (2017) was used. The procedure consisted of a first step of cell disruption by cryogenic grinding of membrane filters followed by chemical lysis and then nucleic acid purification using NucleoSpin RNA kits, combined with the NucleoSpin RNA/DNA buffer set (Macherey-Nagel, Düren, Germany). For sediment samples, DNA extraction was performed using the commercially available DNeasy PowerSoil Pro Kit (Qiagen) with slight modifications.

Sequencing was also performed at Genoscope. Metagenome libraries were constructed according to the available DNA: 10 to 100 ng of genomic DNA were sonicated to obtain fragments of around 350 bp, using the Covaris E220 instrument (Covaris, Woburn, MA, USA). Fragments were repaired, 3'-adenylated and NEXTflex PCR freebarcodes adapters (Bioo Scientific, Austin, TX, USA) were added using the NEBNext® Ultra II DNALibrary prep kit for Illumina (New England Biolabs, Ipswich, MA, USA). Ligation products were purified by AMPure XP beads 0:8 volume (Beckmann Coulter, Brea, CA, USA). DNA fragments (> 200 bp) were amplified by PCR (2 PCR reactions, 14 cycles) using Illumina adapter-specific primers and NEBNext® Ultra II Q5 Master Mix (NEB). All libraries were subjected to size profile analysis conducted by Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA) and to qPCR quantification using the KAPA Library Quantification Kit for Illumina Libraries (KapaBiosystems, Wilmington, MA, USA). All metagenomic libraries validated by the quality-control were sequenced using 151-bp pairwise read chemistry on an Illumina NovaSeq6000 sequencer, using S4 Flowcells (Illumina, San Diego, CA, USA). A minimum of 40,000 million useful paired-end reads were obtained per sample. Short Illumina reads were bioinformatically post-processed sensu Alberti et al. (2017) to filter out low-quality data. First, low-quality nucleotides (Q < 20) were discarded from both read ends. Then the remaining Illumina sequencing adapters and primer sequences were removed and only reads ≥ 30 nucleotides were retained. These filtering steps were done using in-house-designed software, based on the FastX package (Engelen and Aury 2016). Finally, read pairs mapping to the phage phiX genome were identifed and discarded using SOAP aligner (Li et al. (2008), default parameters) and the Enterobacteria phage PhiX174 reference sequence (GenBank: NC_001422.1).

Biodiversity scope

Target

The target of the dataset was to assess prokaryotic and eukaryotic diversity associated with the collected samples.

Taxonomic range

Archaea, Bacteria, Eukaryota

Data Resources

Details for the samples can be found in Suppl. material 1 and their basic metadata can be found in Suppl. material 2. All the raw sequence files of this study were submitted to ENA (Yuan et al. 2024) with the umbrella study accession number PRJEB51688. The accession numbers of the component projects under the umbrella study are PRJEB51662, PRJEB51661, PRJEB51660, PRJEB51659, PRJEB51658, PRJEB51665, PRJEB51664, PRJEB51656, PRJEB51655, PRJEB51654, PRJEB51653, PRJEB51652 and PRJEB50566. All sampling event and environmental data, linked to the respective accession numbers, are also available to browse and download from EMO BON’s data landing page.

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ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/030/ERR13954730/ERR13954730_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/030/ERR13954730/ERR13954730_2.fastq.gz

Resource identifier

ERR13954730

Data format

FASTQ

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Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/031/ERR13954731/ERR13954731_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/031/ERR13954731/ERR13954731_2.fastq.gz

Resource identifier

ERR13954731

Data format

FASTQ

Resource 40

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/032/ERR13954732/ERR13954732_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/032/ERR13954732/ERR13954732_2.fastq.gz

Resource identifier

ERR13954732

Data format

FASTQ

Resource 41

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/033/ERR13954733/ERR13954733_1.fastq.gz

Download URL

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Resource identifier

ERR13954733

Data format

FASTQ

Resource 42

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/034/ERR13954734/ERR13954734_1.fastq.gz

Download URL

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Resource identifier

ERR13954734

Data format

FASTQ

Resource 43

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/035/ERR13954735/ERR13954735_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/035/ERR13954735/ERR13954735_2.fastq.gz

Resource identifier

ERR13954735

Data format

FASTQ

Resource 44

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/036/ERR13954736/ERR13954736_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/036/ERR13954736/ERR13954736_2.fastq.gz

Resource identifier

ERR13954736

Data format

FASTQ

Resource 45

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/037/ERR13954737/ERR13954737_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/037/ERR13954737/ERR13954737_2.fastq.gz

Resource identifier

ERR13954737

Data format

FASTQ

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Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/038/ERR13954738/ERR13954738_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/038/ERR13954738/ERR13954738_2.fastq.gz

Resource identifier

ERR13954738

Data format

FASTQ

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Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/039/ERR13954739/ERR13954739_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/039/ERR13954739/ERR13954739_2.fastq.gz

Resource identifier

ERR13954739

Data format

FASTQ

Resource 48

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/040/ERR13954740/ERR13954740_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/040/ERR13954740/ERR13954740_2.fastq.gz

Resource identifier

ERR13954740

Data format

FASTQ

Resource 49

Download URL

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Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/013/ERR13954813/ERR13954813_2.fastq.gz

Resource identifier

ERR13954813

Data format

FASTQ

Resource 50

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/014/ERR13954814/ERR13954814_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/014/ERR13954814/ERR13954814_2.fastq.gz

Resource identifier

ERR13954814

Data format

FASTQ

Resource 51

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/015/ERR13954815/ERR13954815_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/015/ERR13954815/ERR13954815_2.fastq.gz

Resource identifier

ERR13954815

Data format

FASTQ

Resource 52

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/016/ERR13954816/ERR13954816_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/016/ERR13954816/ERR13954816_2.fastq.gz

Resource identifier

ERR13954816

Data format

FASTQ

Resource 53

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/017/ERR13954817/ERR13954817_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/017/ERR13954817/ERR13954817_2.fastq.gz

Resource identifier

ERR13954817

Data format

FASTQ

Resource 54

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/018/ERR13954818/ERR13954818_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/018/ERR13954818/ERR13954818_2.fastq.gz

Resource identifier

ERR13954818

Data format

FASTQ

Resource 55

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/019/ERR13954819/ERR13954819_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/019/ERR13954819/ERR13954819_2.fastq.gz

Resource identifier

ERR13954819

Data format

FASTQ

Resource 56

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/020/ERR13954820/ERR13954820_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/020/ERR13954820/ERR13954820_2.fastq.gz

Resource identifier

ERR13954820

Data format

FASTQ

Resource 57

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/052/ERR13954852/ERR13954852_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/052/ERR13954852/ERR13954852_2.fastq.gz

Resource identifier

ERR13954852

Data format

FASTQ

Resource 58

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/053/ERR13954853/ERR13954853_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/053/ERR13954853/ERR13954853_2.fastq.gz

Resource identifier

ERR13954853

Data format

FASTQ

Resource 59

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/054/ERR13954854/ERR13954854_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/054/ERR13954854/ERR13954854_2.fastq.gz

Resource identifier

ERR13954854

Data format

FASTQ

Resource 60

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/055/ERR13954855/ERR13954855_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/055/ERR13954855/ERR13954855_2.fastq.gz

Resource identifier

ERR13954855

Data format

FASTQ

Resource 61

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/056/ERR13954856/ERR13954856_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/056/ERR13954856/ERR13954856_2.fastq.gz

Resource identifier

ERR13954856

Data format

FASTQ

Resource 62

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/057/ERR13954857/ERR13954857_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/057/ERR13954857/ERR13954857_2.fastq.gz

Resource identifier

ERR13954857

Data format

FASTQ

Resource 63

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/058/ERR13954858/ERR13954858_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/058/ERR13954858/ERR13954858_2.fastq.gz

Resource identifier

ERR13954858

Data format

FASTQ

Resource 64

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/059/ERR13954859/ERR13954859_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/059/ERR13954859/ERR13954859_2.fastq.gz

Resource identifier

ERR13954859

Data format

FASTQ

Resource 65

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/060/ERR13954860/ERR13954860_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/060/ERR13954860/ERR13954860_2.fastq.gz

Resource identifier

ERR13954860

Data format

FASTQ

Resource 66

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/061/ERR13954861/ERR13954861_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/061/ERR13954861/ERR13954861_2.fastq.gz

Resource identifier

ERR13954861

Data format

FASTQ

Resource 67

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/062/ERR13954862/ERR13954862_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/062/ERR13954862/ERR13954862_2.fastq.gz

Resource identifier

ERR13954862

Data format

FASTQ

Resource 68

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/063/ERR13954863/ERR13954863_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/063/ERR13954863/ERR13954863_2.fastq.gz

Resource identifier

ERR13954863

Data format

FASTQ

Resource 69

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/064/ERR13954864/ERR13954864_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/064/ERR13954864/ERR13954864_2.fastq.gz

Resource identifier

ERR13954864

Data format

FASTQ

Resource 70

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/087/ERR13955087/ERR13955087_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/087/ERR13955087/ERR13955087_2.fastq.gz

Resource identifier

ERR13955087

Data format

FASTQ

Resource 71

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/088/ERR13955088/ERR13955088_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/088/ERR13955088/ERR13955088_2.fastq.gz

Resource identifier

ERR13955088

Data format

FASTQ

Resource 72

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/089/ERR13955089/ERR13955089_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/089/ERR13955089/ERR13955089_2.fastq.gz

Resource identifier

ERR13955089

Data format

FASTQ

Resource 73

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/090/ERR13955090/ERR13955090_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/090/ERR13955090/ERR13955090_2.fastq.gz

Resource identifier

ERR13955090

Data format

FASTQ

Resource 74

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/091/ERR13955091/ERR13955091_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/091/ERR13955091/ERR13955091_2.fastq.gz

Resource identifier

ERR13955091

Data format

FASTQ

Resource 75

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/092/ERR13955092/ERR13955092_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/092/ERR13955092/ERR13955092_2.fastq.gz

Resource identifier

ERR13955092

Data format

FASTQ

Resource 76

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/093/ERR13955093/ERR13955093_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/093/ERR13955093/ERR13955093_2.fastq.gz

Resource identifier

ERR13955093

Data format

FASTQ

Resource 77

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/094/ERR13955094/ERR13955094_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/094/ERR13955094/ERR13955094_2.fastq.gz

Resource identifier

ERR13955094

Data format

FASTQ

Resource 78

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/095/ERR13955095/ERR13955095_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/095/ERR13955095/ERR13955095_2.fastq.gz

Resource identifier

ERR13955095

Data format

FASTQ

Resource 79

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/096/ERR13955096/ERR13955096_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/096/ERR13955096/ERR13955096_2.fastq.gz

Resource identifier

ERR13955096

Data format

FASTQ

Resource 80

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/097/ERR13955097/ERR13955097_1.fastq.gz

Download URL

ftp.sra.ebi.ac.uk/vol1/fastq/ERR139/097/ERR13955097/ERR13955097_2.fastq.gz

Resource identifier

ERR13955097

Data format

FASTQ

Usage Rights

CC BY 4.0

Acknowledgements

This work used resources provided by the European Marine Omics Biodiversity Observation Network (EMO BON) project, coordinated by the European Marine Biological Resource Centre (EMBRC). For the NRMCB observatory, the captain and crew of RV Vettoria, Ferdinando Tramontano and Carmen Minucci and the NEREA Team (www.nerea-observatory.org) are acknowledged for support to sampling. For the BPNS observatory, captain and crew of RV Simon Stevin are acknowledged for operational support. For the PiEGetxo observatory, we also acknowledge TED2021-132109B-C21 research project funded by MCIN/AEI /10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. For Station Biologique de Roscoff, the captain and crew of RV Neomysis, Stéphanie Cabioch, Noël Guidal, Arnaud Perrey and the Service Mer et Plongée Team are acknowledged for operational support to sampling. This work was supported by the Genoscope, the Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA) and France Génomique (ANR-10-INBS-0009).

Conflicts of interest

The authors have declared that no competing interests exist.

References

Supplementary materials

Suppl. material 1: ENA sample, run, experiment and project accession numbers for the first release of the EMO BON shotgun metagenomics data from water and sediment samples 
Authors:  Christina Pavloudi
Data type:  metadata
Suppl. material 2: BioSamples MIxS checklists 
Authors:  Christina Pavloudi
Data type:  metadata
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