Vertical and horizontal environmental DNA (eDNA) patterns of fish in a shallow and well-mixed North Sea area

オカレンス(観察データと標本)
最新バージョン Flanders Research Institute for Agriculture, Fisheries and Food (ILVO) により出版 6月 21, 2024 Flanders Research Institute for Agriculture, Fisheries and Food (ILVO)

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 94,281 レコード English で (6 MB) - 更新頻度: not planned
EML ファイルとしてのメタデータ ダウンロード English で (13 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (11 KB)

説明

This dataset contains eDNA metabarcoding data of fish species detected in 17 locations in the Belgian Part of the North Sea (BPNS). The seawater samples were collected during a field campaigns in 2022. The fish species were identified using 12S eDNA metabarcoding. The dataset includes amplicon sequence variants and their associated metadata.

[This dataset was processed using the GBIF eDNA converter tool.]

データ レコード

この オカレンス(観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、94,281 レコードが含まれています。

拡張データ テーブルは1 件存在しています。拡張レコードは、コアのレコードについての追加情報を提供するものです。 各拡張データ テーブル内のレコード数を以下に示します。

Occurrence (コア)
94281
dnaDerivedData 
94281

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

Dukan N, Cornelis I, Brosens D, Derycke S (2024). Vertical and horizontal environmental DNA (eDNA) patterns of fish in a shallow and well-mixed North Sea area. Version 1.5. Flanders Research Institute for Agriculture, Fisheries and Food (ILVO). Occurrence dataset. https://ipt.inbo.be/resource?r=ilvo-metabarcoding-1&v=1.5

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Flanders Research Institute for Agriculture, Fisheries and Food (ILVO)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 8afcc57c-5d2b-4349-add6-29bfc33ed5cbが割り当てられています。   Ocean Biodiversity Information System によって承認されたデータ パブリッシャーとして GBIF に登録されているFlanders Research Institute for Agriculture, Fisheries and Food (ILVO) が、このリソースをパブリッシュしました。

キーワード

Occurrence; eDNA; North Sea; trawl

連絡先

Nergiz Dukan
  • 最初のデータ採集者
  • 連絡先
Isolde Cornelis
Dimitri Brosens
  • 最初のデータ採集者
Research Institute for Nature and Forest/ Belgian Biodiversity Platform
BE
Sofie Derycke
  • 最初のデータ採集者
  • 連絡先
ILVO
BE

地理的範囲

Belgian part of the North Sea

座標(緯度経度) 南 西 [-90, -180], 北 東 [90, 180]

収集方法

1.Sampling was carried out between September 26 and October 7, 2022 at the Belgium Part of the North Sea (BPNS) with the research vessel Belgica. Water samples were collected approximately 1 m above the seafloor at 17 locations covering the distribution of the three distinct fish communities (coastal, transition and offshore) (Figure 1). At twelve locations, water was sampled both at the surface and bottom to study the vertical distribution pattern of eDNA. A rosette equipped with 10 L Niskin bottles was deployed to collect the water samples: bottom samples were taken 1 meter above the seabed and surface samples 1 meter below the sea surface. Prior to deployment, the rosette was held below the surface for three minutes to allow the Niskin bottles and the CTD to equilibrate with the surrounding water mass. To minimize the potential disturbance of eDNA caused by the downward movement of the rosette, the surface samples were collected before the bottom samples. Five biological replicates were collected at each location and depth, with each replicate corresponding to a single Niskin bottle. From each Niskin bottle, 2 L seawater was pre-filtered through a 200 µm sterilized nylon mesh to remove bigger particles and organisms that can potentially cause clogging during the subsequent filtering process. Filtering of the samples was conducted onboard in a dedicated lab for eDNA analyses, right after the sample collection. The samples were filtered through a 0.45 µm Sterivex-HV filter (Millipore SterivexTM, PVDF, with Luer outlet) using a peristaltic pump (Masterflex L/S® Variable Speed Pump HV-77910-75) until the filter was close to clogging. 2. Quality control 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.

Study Extent The integration of eDNA metabarcoding into monitoring programs provides valuable information about fish community structures. Despite the growing body of evidence supporting the method's effectiveness in distinguishing fine-scale eDNA signals, there is a limited understanding of eDNA distribution in shallow, well-mixed environments, especially related to sampling depth. We analyzed 167 samples collected from the surface and bottom water at 17 locations of the Belgian Part of the North Sea (BPNS) and compared this to beam trawl catch data collected simultaneously at the same locations.

Method step description:

  1. 1. eDNA extraction and Library preparation. After overnight incubation with the lysisbuffer at 56°C, the eDNA was extracted using the DNeasy Blood and Tissue kit (Qiagen). Library preparation The genetic analysis was based on 12S. 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 three 12S libraries were quality checked on the BioAnalyzer. The eDNA libraries were sequenced with Illumina MiSeq, 2 x 300 bp. 2. 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 march 2023). After taxonomic assignment, the count table was cleaned by using MicroDecon using the field, filter, DNA extraction and PCR negative control samples.

追加のメタデータ

代替識別子 8afcc57c-5d2b-4349-add6-29bfc33ed5cb
https://ipt.inbo.be/resource?r=ilvo-metabarcoding-1