eDNA from water column to characterise fish and invertebrate communities from 30 sites in the Belgian Part of the North Sea -COI

出現紀錄
最新版本 published by Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) on 6月 21, 2024 Flanders Research Institute for Agriculture, Fisheries and Food (ILVO)

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

DwC-A資料集 下載 171,746 紀錄 在 English 中 (15 MB) - 更新頻率: 有可能更新,但不確知何時
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說明

This dataset contains eDNA metabarcoding data of fish species detected in 30 locations in the Belgian Part of the North Sea (BPNS). The seawater samples were collected during two different field campaigns in September and November 2021. The invertebrate species were identified using COI eDNA metabarcoding. The dataset includes amplicon sequence variants and their associated metadata. [This dataset was processed using the GBIF eDNA converter tool.]

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 171,746 筆紀錄。

亦存在 1 筆延伸集的資料表。延伸集中的紀錄補充核心集中紀錄的額外資訊。 每個延伸集資料表中資料筆數顯示如下。

Occurrence (核心)
171746
dnaDerivedData 
171746

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

Cornelis I, Brosens D, Derycke S (2024). eDNA from water column to characterise fish and invertebrate communities from 30 sites in the Belgian Part of the North Sea -COI. Version 1.8. Flanders Research Institute for Agriculture, Fisheries and Food (ILVO). Occurrence dataset. https://ipt.inbo.be/resource?r=ilvo-metabarcoding-coi-bpns&v=1.8

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 Flanders Research Institute for Agriculture, Fisheries and Food (ILVO)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: 652ac1af-3907-4fd3-a509-2151a00bccc2。  Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) 發佈此資源,並經由Ocean Biodiversity Information System同意向GBIF註冊成為資料發佈者。

關鍵字

Marine Invertebrates; Belgian Part of the North Sea; COI eDNA metabarcoding; Offshore Wind Farms; Occurrence

聯絡資訊

Isolde Cornelis
  • 元數據提供者
  • 出處
  • 連絡人
Scientist Marine Genomics Lab
ILVO
Jacobsenstraat 1
Oostende
Oost-Vlaanderen
BE
Dimitri Brosens
  • 出處
Research Institute for Nature and Forest/ Belgian Biodiversity Platform
BE
Sofie Derycke
  • 出處
  • 連絡人
ILVO
BE

地理涵蓋範圍

Belgian part of the North Sea

界定座標範圍 緯度南界 經度西界 [51.147, 2.586], 緯度北界 經度東界 [51.676, 3.255]

時間涵蓋範圍

起始日期 / 結束日期 2021-09-01 / 2021-11-30

計畫資料

As part of the Zeroimpact project, we aim to develop an innovative, sustainable and automatic method to detect marine species using environmental DNA (eDNA) and metabarcoding.

計畫名稱 Seawater from the North Sea
辨識碼 PRJNA1032405
經費來源 ILVO
研究區域描述 ZERO-IMPACT will map the spatial and temporal patterns of eDNA in the North Sea to efficiently carry out the monitoring of the good state of the environment (WP1 and WP2). In addition, the potential of eDNA for the fisheries sector will be fully explored by focusing on automation (WP4) and by carrying out targeted case studies to identify fish spawning (WP3), shellfish spat (WP5) and the presence of toxic algae and harmful parasites near shellfish culture facilities (WP5).
研究設計描述 The study of different organisms (fish, invertebrates, plankton) can be done based on only one sampling method, and continuous time series for marine biodiversity and fish populations can be obtained through automatic sampling of seawater.

參與計畫的人員:

取樣方法

Sampling: During two different field campaigns in September and November 2021, a total of 12 coastal and 18 offshore locations, situated inside and outside the OWFs C-power (transition zone) and Belwind (offshore zone), were samples. The coastal locations were sampled in triplicate during the September field campaign with the research vessel Simon Stevin using a Niskin carousel. The offshore locations and one coastal location (ft230) were sampled in November 2021 with the research vessel GeoOcean V. During this campaign five biological replicates were taken by successively lowering one Niskin bottle five times. One exception was the coastal site ft230, where only three biological replicates were taken. At each location, seawater was collected at 1 m above the seafloor using a 10 L Niskin bottle. From each 10 L Niskin bottle, a subsample of 2 L was collected in clean commercial plastic drinking water bottles, using a sterilized 200 µm mesh nylon prefilter to remove bigger pieces of debris. Between locations, the Niskin bottles were thoroughly rinsed with commercial source water. The water samples were either immediately filtered on board (GeoOcean V) or stored in the dark at -20 °C (Simon Stevin) until further processing. Each sample was filtered over a 0.45 µm Sterivex polyvinylidene fluoride (PVDF) filter until the filter was nearly clogged or until 1 L was filtered. The filters were stored at -20 °C until eDNA extraction.

研究範圍 The construction of offshore wind farms may affect local soft-sediment fauna. Hence, an efficient monitoring technique is needed to monitor the potential effects on the marine ecosystem. Here, we assess whether eDNA metabarcoding is a suitable alternative to monitor fish and epibenthos biodiversity in these difficult to access marine habitats. Water sampling and trawl surveys were conducted in parallel in 12 coastal and 18 offshore sites, the latter located inside and outside two offshore wind farms in the Belgian part of the North Sea.
品質控管 Negative control samples were collected in the field and laboratory environments. Negative field controls were taken by collecting commercial source water from the Niskin bottles after they were carefully rinsed using commercial source water, also using the prefilter. Negative filter controls were included by filtering source water over a blanco 0.45 µm Sterivex filter. Negative extraction controls were included by applying the extraction protocol on blanco 0.45 µM Sterivex filters. Negative PCR controls were included by replace the extracted eDNA with 3 µl of UltraPure™ water.

方法步驟描述:

  1. eDNA extraction: After overnight incubation with the lysisbuffer at 56°C, the eDNA was extracted using the DNeasy Blood and Tissue kit (Qiagen).
  2. Library preparation: The genetic analysis was based on two molecular markers (12S for the fish species, and COI for the invertebrate species). A one-step amplification protocol was used in triplicate using fusion primers (Sigma Aldrich), which contained the template specific primer sequence and a unique barcode tag of 6 to 10 nucleotides. After amplification, the PCR replicates were pooled and purified using magnetic CleanNGS beads (CleanNA). After purification, the COI pools were quality checked on the BioAnalyzer. The eDNA libraries were sequenced with Illumina MiSeq, 2 x 300 bp.
  3. Bioinformatic processing: The quality of the raw Illumina MiSeq sequencing reads was verified with FASTQC v0.11.9. The paired-end reads were then reorientated, demultiplexed and trimmed by using cutadapt. After demultiplexing, DADA2 was used for denoising, dereplication, merging, and removing of chimeric reads from the demultiplexed sequences. The taxonomic assignment of the resulting ASV sequences was performed against a custom made reference database using RDP classifier in DADA2 with a minimum bootstrapping support of 80. ASVs that remained unassigned at species level with RDP were successively run with BLASTn v2.12.0 against the custom made reference databases and the GenBank nucleotide database (from October 2022). After taxonomic assignment, the count table was cleaned by removing all the ASVs identified as contaminant by the prevalence method in Decontam using the field, filter, DNA extraction and PCR negative control samples.

引用文獻

  1. Maes, S. M., Desmet, S., Brys, R., Sys, K., Ruttink, T., Maes, S., … Derycke, S. (2024). Detection and quantification of two commercial flatfishes (Solea solea and Pleuronectes platessa) in the North Sea using environmental DNA. Environmental DNA, 6(1). https://doi.org/10.1002/edn3.426 DOI: 10.1002/edn3.426

額外的詮釋資料

替代的識別碼 652ac1af-3907-4fd3-a509-2151a00bccc2
https://ipt.inbo.be/resource?r=ilvo-metabarcoding-coi-bpns