オカレンス(観察データと標本)

eDNA along Houdong riverine zonation in Taiwan

最新バージョン Taiwan Biodiversity Information Facility (TaiBIF) によって公開 2023/12/05 Taiwan Biodiversity Information Facility (TaiBIF)

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 6,297 レコード English で (367 KB) - 更新頻度: as needed
EML ファイルとしてのメタデータ ダウンロード English で (21 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (18 KB)

説明

[Data paper publication pending] This dataset contains species occurrence dataset and their associated DNA sequences (in DNA-derived data extension), originating from a research project carried out in Houdong River (猴洞坑), Jiaoxi Township, Yilan, Taiwan. Fieldwork was conducted on April 28th, 2022. The primary objective of this study was to determine the occurrence of eukaryotic species in riverine ecosystems through the use of environmental DNA methodology.

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、6,297 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)
6297
dnaDerivedData 
6297

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。:

Hoh D (2023): eDNA along Houdong riverine zonation in Taiwan. v1.7. Taiwan Biodiversity Information Facility (TaiBIF). Dataset/Occurrence. https://ipt.taibif.tw/resource?r=houdongkeng_water_edna&v=1.7

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 Taiwan Biodiversity Information Facility (TaiBIF)。 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: 2615342d-7349-4e75-ae34-cda6cb403e2eが割り当てられています。   Taiwan Biodiversity Information Facility 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Taiwan Biodiversity Information Facility (TaiBIF) が、このリソースをパブリッシュしました。

キーワード

SamplingEvent; river ecosystem; species occurrence; metabarcoding; cytochrome c oxidase I gene; Eukaryota

連絡先

Daphne Hoh
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
Postdoctoral Researcher
Taiwan Biodiversity Information Facility
TW
Min-Chen Wang
  • 連絡先
Postdoctoral Researcher
Institute of Cellular and Organismic Biology, Academia Sinica
TW

地理的範囲

Houdong River (猴洞坑), Jiaoxi Township, Yilan County, Taiwan

座標(緯度経度) 南 西 [24.824, 121.768], 北 東 [24.871, 121.846]

生物分類学的範囲

We detected eukaryotic organisms in the water samples using the COI mitochondrial gene. A total of 2,736 OTUs were identified and 421 of the OTUs were assigned to at least the kingdom level.

Domain Eukaryota
Kingdom Animalia, Chromista, Fungi, Plantae, Protozoa
Phylum Amoebozoa, Bryophyta, Cryptophyta, Nemertea, Sulcozoa, Annelida, Bryozoa, Gastrotricha, Ochrophyta, Tracheophyta, Arthropoda, Chaetognatha, Glomeromycota, Oomycota, Zygomycota, Ascomycota, Chlorophyta, Haptophyta, Platyhelminthes, Basidiomycota, Chordata, Mollusca, Rhodophyta, Blastocladiomycota, Cnidaria, Mycetozoa, Rotifera

時間的範囲

開始日 2022-04-28

プロジェクトデータ

説明がありません

タイトル Environmental DNA-based biodiversity profiling along Houdong riverine zonation in Taiwan

プロジェクトに携わる要員:

Daphne Hoh
Min-Chen Wang

収集方法

Water samples for eDNA were collected from the near surface of the river. Before the collection, the water containers were rinsed with the local water at each sampling site. 1L of water was collected for eDNA analysis, and 200mL of water was collected for water quality measurements and were measured using multiple handheld probes on-site at each sampling site. Temperature, pH, and dissolved oxygen were measured through a multi-parameter meter (Multiline® Multi 3620 IDS, WTW, Weilheim, Germany) equipped with an IDS pH electrode (SenTix 940, WTW) and an optical IDS dissolved oxygen sensor (FDO® 925, WTW). Turbidity was measured by the turbidity meter (TUB-430, EZDO, Taiwan). Salinity was determined by the sanity refractometer (2491 MASTER-S/Milla Salinity Refractometer, Atago, Japan). Three replicate measurements of each parameter were taken. Water samples were transported and processed through two filtration steps at the Marine Research Station (MRS, Yilan, Taiwan) of the Institute of Cellular and Organismic Biology (Academia Sinica, Taipei, Taiwan). In the first step, the larger particles were removed by a 75µm pore size sieve. Afterward, the 1L water sample from each site was vacuum-filtered with a 0.22µm filter (PC651-0024, GeneDireX, USA). The filter membranes were placed in sterile Petri dishes and stored at -80°C until DNA extraction.

Study Extent This is a one-time sampling event. Water samples were collected along the Houdong River in Jiaoxi Township, Yilan County, Taiwan. The Houdong River is a popular tourist destination running across the city of Yilan. The river system originates east of the Sidu mountains and flows through primary and secondary forests, agricultural lands (rice), and developed areas (light industrial and residential) until it eventually drains into the Pacific Ocean. We selected four sites along the Houdong River. We collected water samples at each site for eDNA analysis and measured in-situ water quality.

Method step description:

  1. Wet lab process: The DNA was extracted at the Biodiversity Research Center (Academia Sinica, Taipei, Taiwan). Each filtered membrane was cut into quarters. 3 of 4 pieces of filtered membranes were used in the study as 3 experimental replicates. The final quarter was saved as the sample backup. DNA from each quarter membrane piece was extracted using the Presto™ Stool DNA Extraction Kit (STLD100, Geneaid Biotech Ltd., Taiwan) following the manufacturer's instructions (Instruction Manual Ver. 10.21.17). The quality and quantity of the extracted DNA was assessed using a Nanodrop 2000 (Thermo Fisher Scientific Inc., USA) and the Qubit 4 dsDNA High Sensitivity Assay Kit (Thermo Fisher Scientific Inc., USA). The MinibarF1 (5'TCCACTAATCACAARGATATTGGTAC) and MinibarR1 (5'GAAAATCATAATGAAGGCATGAGC) primers that were designed by Meusnier et al. (2008), were used to amplify the 5' region (ca. 120-150bp) of the mitochondrial Cytochrome c oxidase I (COI) gene. The universality of the primers was recommended for distinguishing the highly diverse DNA from the environmental mixture. We conducted PCR using a one-step single-indexed approach, with a 13bp tag attached to the MinibarR1 primer. The PCR reaction volume was 16μl, which included 8μl KAPA HiFi HotStart ReadyMix (KK2602, Roche Molecular Systems Inc., USA), 5μl ddH20, 1μl of each primer (10μM), and 1μl of DNA template. To optimize the protocol, we performed a preliminary PCR using an annealing temperature gradient and found that 54°C gave the best results. The PCR mixture was denatured at 95°C for 15 minutes, followed by 35 cycles of 94°C for 30 seconds, 54°C for 30 seconds, and a final elongation at 72°C for 10 minutes. The PCR products were checked on a 1.5% agarose gel and quantified with the Invitrogen Qubit 4 fluorometer (Thermo Fisher Scientific Inc., USA). Afterwards, all the PCR products were pooled in one tube for next-generation sequencing. Sequencing was performed on the Illumina NovaSeq 6000 platform with 2*150 paired-end reads by Genomics Co., Taipei, Taiwan.
  2. Data processing and analyzing: The Illumina raw reads were demultiplexed by Genomics Co., Taipei, Taiwan. FastQC (v0.11.9; https://github.com/s-andrews/FastQC) was used to the quality-checked. The forward and reverse primers of the demultiplexed reads were trimmed using Cutadapt (version 4.2; Martin 2011). The USEARCH platform (v11.0.667; Edgar 2010) was used to verify if the primer sequences were completely removed from the demultiplexed reads. The "denoised-paired" function was used to create an amplicon sequence variant (ASV) data output from the demultiplexed reads. The "denoise-paired" function in QIIME2 (v2023.2.0; Bolyen et al. 2019) can automatically trim, filter, denoise, merge reads, and remove chimeric reads in one step. The maximum expected error of forward and reverse reads was set to 1.0. The reads with a quality score of less than 20 were truncated. The minimum overlap length for the forward and reverse reads merger was set to 16 bp. Other parameters followed the default settings in the "denoise-paired" function. No reads were trimmed or truncated during the ASV creation process. The ASV output was then further clustered through the "cluster-features-de-novo" function provided by QIIME 2. ASVs with more than 97% sequence identity were clustered into one operational taxonomic unit (OTU). The sequences that were shorter than 100bp in the ASV and OTU results were discarded. Taxonomic assignments were conducted using Constax (v2.0.18; Liber et al. 2021) against the MIDORI database (vGB250; Machida et al. 2017). The R package phyloseq was used to analyze the preprocessed sequencing data (v1.40.0; McMurdie and Holmes 2013). The pie chart figure was produced with ggplot2 (v3.4.2; Villanueva and Chen 2019). Lowest taxon level-annotation of each OTU was extracted to perform a secondary species mapping to the GBIF Backbone Taxonomy (GBIF Secretariat 2011) using the "name_backbone_checklist" function in R package rgbif (v3.7.7; Chamberlain et al. 2022) in R (R Core Team 2023).
  3. Open data and code: DNA sequence data have been deposited on ENA at EMBL-EBI under accession number PRJEB60905. We converted the occurrence data into Darwin Core Archive standard (Darwin Core Task Group 2009) and validated data in the event and occurrence data sheets using the GBIF Data Validator (Global Biodiversity Information Facility 2017). We then published the dataset containing one event core and four extensions following GBIF registered extensions: occurrence, DNA-derived data, measurement or facts, and resource relationship using the Integrated Publishing Toolkit (IPT) of GBIF installed under the Taiwan Biodiversity Information Facility (TaiBIF). All source code used in the project can be found in the project's GitHub repository.

書誌情報の引用

  1. European Nucleotide Archive EMBL-EBI Project. https://www.ebi.ac.uk/ena/browser/view/PRJEB60905
  2. Chamberlain S, Barve V, Mcglinn D, Oldoni D, Desmet P, Geffert L, Ram K (2023). rgbif: Interface to the Global Biodiversity Information Facility API. R package version 3.7.7. https://CRAN.R-project.org/package=rgbif
  3. R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/

追加のメタデータ

代替識別子 2615342d-7349-4e75-ae34-cda6cb403e2e
https://ipt.taibif.tw/resource?r=houdongkeng_water_edna