Metabarcoding dataset of plankton, in the northwestern Mediterranean, from MOOSE-GE campaigns (2017-2019).

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如何引用

研究者應依照以下指示引用此資源。:

Lescot M, Lezzoche N (2026) Planktonic cummunities across the Northwestern Mediterranean Sea.OSU Institut Pythéas

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 OSU STAMAR。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

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關鍵字

Occurrence; Observation; Mediterranean Sea; marine biodiversity; plankton; Metabarcoding

外部資料

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聯絡資訊

地理涵蓋範圍

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無相關描述

時間涵蓋範圍

計畫資料

he annual campaigns MOOSE-GE, initiated in 2010, are part of the long-term observation network of the Mediterranean, MOOSE, network labeled SOERE Allenvi and SNO by the INSU in 2016 and 2019. This observation network aims to monitor the long-term evolution of the northwestern Mediterranean in the context of climate change and anthropogenic pressure, in order to be able to detect and identify the trend of environmental anomalies in this marine ecosystem. MOOSE aims to maintain an integrated and multidisciplinary observation network in the Mediterranean Sea in accordance with the marine infrastructures ILICO, EURO-ARGO and EMSO and the global networks OceanSites and OceanGliders in which MOOSE is involved. The objectives of these campaigns carried out in 2010, 2011 and 2013 on the Tethys II (INSU), in 2012, 2014, 2015 on the Suroît then in 2016, 2017 and 2018 on the Atalante, and in 2019 and 2021 on Thalassa are : annual maintenance of the 4 moorings LION, DYFAMED in leg 1 then Planier and Lacaze-Duthiers in leg 2 (automatic measurements, particle traps). mapping and monitoring the evolution of water mass properties, biogeochemical content and zooplankton communities. training for Master M2 Sorbonne University (OACOS, OEM) and ENSTA students. deployment and collection of Argo profiling floats

參與計畫的人員:

取樣方法

The MOOSE-GE network covers the north-western Mediterranean Sea, including the Lion Gulf and Ligurian Sea. Cruises in 2017, 2018 and 2019 were conducted respectively from 31 August to 23 September 2017, from 14 May to 06 June 2018 and from 08 June to 01 July 2019 with 16 biological stations in 2017 and 15 in 2018, and 18 in 2019. At each station, a rosette carrying 21 Niskin bottles (12 L) and equipped with a CTD (Seabird Electronics), measuring biophysical parameters at each depth (salinity, dissolved oxygen, fluorimetry, temperature) and a triple-net tow (64-200 and 500µm meshsizes) were deployed.

方法步驟描述:

1. MOOSE-GE metabarcoding pipeline (https://gitlab.osupytheas.fr/moose/moose-pipeline) Nextflow pipeline inspired by SAMBA pipeline allowing to process MOOSE-GE 18SV4 barcode data. Bioinformatic steps : - Data integrity - [OPTIONAL] Raw data integrity checking (SAMBA) - Importing raw data - Create QIIME2 objects (SAMBA) - Primers removal - Remove primers from raw reads (SAMBA) - QC and feature table - QC and feature table and counts table (SAMBA) - ASV clustering - [OPTIONAL] Distribution and phylogeny based clustering (SAMBA) - Taxonomic assignation - IDTAXA classifier assignation with PR2 v5.0 DECIPHER trained reference database - Phylogeny - ASV sequences alignement and tree (SAMBA) - Phyloseq - Create R-Phyloseq object

額外的詮釋資料