COI Metabarcoding Genetic Observations of Marine Species in the Port of Wallhamn, Sweden (2022)

出現紀錄
最新版本 published by University of Gothenburg on 11月 28, 2023 University of Gothenburg
發布日期:
2023年11月28日
Published by:
University of Gothenburg
授權條款:
CC-BY 4.0

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說明

This dataset contains genetic observations of marine species in the port of Wallhamn between June and September 2022. The observations were made using water and plankton samples, as well as samples from Autonomous Reef Monitoring Structures (ARMS) units. Species were identified using COI metabarcoding. The dataset includes ASVs (amplicon sequence variants) and their associated metadata. This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/).

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 662 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)
662
dnaDerivedData 
662

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。:

Obst M (2023). COI Metabarcoding Genetic Observations of Marine Species in the Port of Wallhamn, Sweden (2022). Version 1.4. University of Gothenburg. Occurrence dataset. https://www.gbif.se/ipt/resource?r=gu-2022-wallhamn-coi&v=1.4

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 University of Gothenburg。 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: 37115f2e-a550-40c7-bc2c-f6b697fa7aca。  University of Gothenburg 發佈此資源,並經由GBIF Sweden同意向GBIF註冊成為資料發佈者。

關鍵字

Occurrence; Observation

聯絡資訊

Matthias Obst
  • 元數據提供者
  • 出處
  • 連絡人
Project Leader
Gothenburg University
SE

地理涵蓋範圍

This dataset covers the port of Wallhamn (Sweden) which has both a commercial/industrial part in the North and a marina in the South.

界定座標範圍 緯度南界 經度西界 [58.004, 11.697], 緯度北界 經度東界 [58.011, 11.703]

分類群涵蓋範圍

N/A

Kingdom Chromista, Animalia, Unassigned
Phylum Mollusca, Arthropoda, Annelida, Chordata, Myzozoa, Phoronida, Cnidaria
Class Hydrozoa, Dinophyceae, Polychaeta, Phoronida_X, Insecta, Bivalvia, Copepoda, Mammalia, Gastropoda
Order Diptera, Calanoida, Ostreida, Gonyaulacales, Polychaeta_X, Cephalaspidea, Phyllodocida, Gastropoda_X, Venerida, Littorinimorpha, Carnivora, Phoronida_XX, Cyclopoida, Leptothecata
Family Pectinariidae, Campanulariidae, Canidae, Gonyaulacales_X, Veneridae, Cerithiidae, Phoronidae, Oithonidae, Chironomidae, Philinidae, Spionidae, Ostreidae, Hydrobiidae, Nereididae, Centropagidae, Acartiidae

時間涵蓋範圍

起始日期 / 結束日期 2022-06-23 / 2022-09-09

計畫資料

A comparison between eRAS (extended rapid assessment) and DNA-based identification of native and invasive species has been performed based on sampling in the port of Wallhamn. Wallhamn has been chosen out of five harbours (Strömstad, Smögen, Kungshamn, Oxelösund, Wallhamn) based on its proximity to Gothenburg and the fact that it is an established harbour with a large number of ships calling every year.

計畫名稱 Övervakning främmande arter: jämförelse eRAS och DNA-baserad inventering Wallhamn (Tjörn)
經費來源 This project was funded by the Swedish Agency for Marine and Water Management
研究區域描述 The port of Wallhamn (Sweden), located in a bay, has both a commercial/industrial part in the North and a marina in the South that are separated by a few hundred meters.
研究設計描述 eRAS includes growth plates, artificial habitats, scraping on existing structures, and visual observations of non-native species. The DNA-based identification is based on settling panels (ARMS), plankton samples, and eDNA from filtered water samples. The outputs of both methods were then compared to estimate their abilities to identify species and detect potential invasive species.

取樣方法

Artificial habitats are plastic trays filled with pottery shards, a weight at the bottom to hold the trays down and a net above to keep the shards in place. On two sides, larger holes were cut to allow fish to move freely in and out of the habitat Plankton samples were taken as vertical hauls from the bottom (5-10 m) up to the surface with a 90 µm plankton bucket. The samples were fixed in 95% ethanol directly in place with an amount of alcohol that was judged to result in a sample with at least 70% ethanol. Upon return to the lab, the plankton samples were decanted and new alcohol was added to ensure that the ethanol content was sufficiently high. The samples were then stored in a freezer (-20°C) until extraction. Water samples for eDNA were taken with Ruttner retrievers at slightly different depths on the premises and pooled in a 1 litre vessel. Water was filtered on site and fixed with 95% ethanol.The filters were stored in a freezer (-20°C) until extraction.

研究範圍 The different sampling methods had different timings over the summer 2022: The eRAS panels were put out on the 23rd of June and taken back on the 9th of September, one was in the industrial port, three were in the marina. The artificial habitats were put out on the 23rd of June and taken back on the 4th of August, one in each area. The ARMS were put out on the 23rd of June and taken back on the 9th of September, one in the industrial port and two in the marina. In the marina, three plankton samplings occurred on the 23rd of June, the 4th of August and the 9th of September (9 plankton samples in total). Similarly, in the marina, three eDNA samplings occurred on the 23rd of June, the 4th of August and the 9th of September (9 eDNA samples in total). Three scraping/RAS samplings occured on the 9th of September in the marina.
品質控管 Negative controls (blank samples) were created by the same extraction procedure but without the sampled material. No DNA could be detected in these samples, with neither Nanodrop nor Qubit. The blank samples were included in the preparation of libraries (below) as a further control for contamination during the extraction of DNA. Another negative control was performed during PCR.

方法步驟描述:

  1. DNA was extracted from the filters with the Nucleospin eDNA water kit (Macherey-Nagel) using the Nagel) using the technique and standard developed in the laboratory. Concentration of DNA in the extracts was measured with the Qubit® fluorometer. Note that this measures concentration of all DNA in the sample and not specific DNA from the target species. This is done to ensure that the extractions have worked.
  2. The genetic analysis and comparison was based on two molecular markers (COI and 18S). These markers were amplified for each sample. Same PCR protocols were used for metabarcoding of the ARMS, eDNA and plankton samples The DNA libraries were sequenced with Illumina MiSeq, 2 x 300 bp.
  3. The analysis was performed in the R-environment with a DADA2 package. After initial quality control, the sequences were filtered for low quality, as well as adapters and primers were removed. Sequencing errors were corrected by calculating an error model; and after that singletons and chimeras were removed using the “pseudo-pooling” function in DADA2.
  4. The filtered and quality-controlled COI sequences were matched against the BOLD database with the python package BOLDigger. The 18S sequences were matched against the PR2 database. All subsequent analysis was performed with customized R scripts where identified species were matched against different NIS and IAS species reference lists.

額外的詮釋資料

替代的識別碼 37115f2e-a550-40c7-bc2c-f6b697fa7aca
https://www.gbif.se/ipt/resource?r=gu-2022-wallhamn-coi