Metabarcoding survey of Chironomids and Oligochaetes in Lake Maggiore

Occurrence
最新バージョン Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque により出版 2月 8, 2023 Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque

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 427 レコード English で (11 KB) - 更新頻度: irregular
EML ファイルとしてのメタデータ ダウンロード English で (17 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (13 KB)

説明

This data set includes the identified chironomids and oligochaetes in Lake Maggiore and their respective GenBank accession number (AccNumGenBank=the unique identifier for a sequence record). Each row contains a record of a macroinvertebrate taxon from a sample from Lake Maggiore that were proceeded for DNA extraction. All sequences were checked in GenBank through Blast searches to check their identity at the high taxonomic level and confirm that they indeed were from chironomids and oligochaetes. Tha data sheet includes columns with the following labels:<br> 1) eventide, occurrenceID, eventDate, scientificName, taxonRank, kingdom, phylum, subphylum, class, order, family, family, subfamily, tribe, genus, species, decimalLatitude, decimalLongitude, geodeticDatum, countryCode, organismQuantity, organismQuantityType, DNA_sequence (=AccNumGenBank), preparations, target_gene.

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、427 レコードが含まれています。

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。:

Zaupa S, Fontaneto D, Sabatino R, Boggero A (2023). Metabarcoding survey of Chironomids and Oligochaetes in Lake Maggiore. Version 1.7. Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque. Occurrence dataset. https://cloud.gbif.org/eca/resource?r=lake_maggiore_cipais&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 Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque。 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: c6686f13-e38d-4c24-bfd7-f1a8bd5f15b8が割り当てられています。   Participant Node Managers Committee 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Consiglio Nazionale delle Ricerche - Istituto di Ricerca sulle Acque が、このリソースをパブリッシュしました。

キーワード

Occurrence; DNA Barcode; Macroinvertebrates; Lentic waters; Midges; Freshwater annelid

連絡先

Silvia Zaupa
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
  • PostDoc
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Diego Fontaneto
  • 最初のデータ採集者
  • Researcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
Raffaella Sabatino
  • 最初のデータ採集者
  • PostDoc
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Angela Boggero
  • 最初のデータ採集者
  • Resarcher
CNR-IRSA
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbano-Cusio-Ossola
IT
Lyudmila Kamburska
  • 連絡先
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA); National Biodiversity Future Center (NBFC)
  • Largo Vittorio Tonolli 50 CNR-IRSA
28922 Verbania
Verbania
IT
  • 3468473975

地理的範囲

Lake Maggiore, the sampling were collected in the littoral areas, from the shores, and covered natural and human-modified habitats, mostly sandy sediments in natural habitats and pebbles/rocks for human-modified habitats. Data are georeferenced according to WGS 84 datum.

座標(緯度経度) 南 西 [45.722, 8.482], 北 東 [46.18, 8.861]

生物分類学的範囲

The data set covers organisms of the Phyla Anellida and Arthropoda.
Data from species, genus, family, order and class rank were included in the dataset.

Phylum Annelida, Arthropoda

時間的範囲

生成(収集)期間 10/04/2019-22/03/2022

収集方法

For each sampling station, sediment samples were collected using a spatula. Aliquots of sediment were collected in plastic jars and kept at controlled temperatures between 4 and 7 °C to preserve live animals. Sediment samples were then sorted at the stereomicroscope (Leica M125, 80x magnification) to isolate chironomid larvae and oligochaetes. Single animals were isolated: each animal was cut in two pieces, one piece to be used for morphological identification and one piece for DNA extraction (Zaupa et al., 2022). Species identification was performed by preparing Faure slides mounts of head for chironomid larvae and front end with chaetae distribution and genital apparatus for oligochaetes (Andersen et al., 2013; Timm, 2009). DNA extraction was performed, using PureLink® Genomic DNAKit (Invitrogen by Life Technologies, Thermo Fisher Scientific, Monza (MB), Italy), following manufacturer's instructions, for chironomid larvae; for oligochaetes, 40 µl of Chelex (BioRad, Segrate (MI), Italy) + 1 µl Proteinase K (PanReac AppliChem, Monza (MB), Italy. DNA was amplified with PCR to obtain the barcoding Folmer fragment of the cytochrome c oxidase subunit I (COI), with primers HCO2198 and LCO1490 (Folmer et al., 1994; Hebert et al., 2003).

Study Extent The dataset contains information on 428 occurrences for 55 taxa. The occurrences were recorded during the years 2019-2022. The study area is 212.5 km^2.
Quality Control All sequences were checked in GenBank.

Method step description:

  1. Sediment samples were sorted at the stereomicroscope and single animals were cut in two pieces, one piece to be used for morphological identification and one piece for DNA extraction. Identification was performed to species level whenever possible, using relevant taxonomic keys (e.g. Andersen et al., 2013; Timm, 2009). DNA was amplified with PCR to obtain the barcoding Folmer fragment of the cytochrome c oxidase subunit I (COI), with primers HCO2198 and LCO1490 (Folmer et al., 1994; Hebert et al., 2003). Amplicons were sequenced (Sanger sequensing) at Macrogen Europe (Amsterdam (BA), The Netherlands; https://www.macrogen-europe.com/); chromatograms were checked in FinchTV 1.5.0 (https://digitalworldbiology.com/FinchTV), with forward and reverse sequences merged using Mesquite 3.6 (https://www.mesquiteproject.org/). Sequences were aligned with MAFFT 7 (Katoh et al., 2013). All sequences were checked in GenBank through Blast searches to check their identity at the high taxonomic level and confirm that they indeed were from chironomids and oligochaetes. Then, we reported the best hits in GenBank, saving their accession numbers, species names, and geographic origin. We then followed the accepted threshold of 3% as a cutoff value for DNA barcoding in COI in invertebrates (Hebert et al., 2003) to confirm species identity. For species where a molecular match was found, the dataset includes the identified species and Genbak accession number.

書誌情報の引用

  1. Andersen T, Cranston PS, Epler JH (eds), 2013. Chironomidae of the Holarctic Region: Keys and diagnoses. Part 1 - Larvae. Insect Systematics and Evolution Supplements (formerly Entomologica Scandinavica Supplement) 66, 573 pp.
  2. Boggero A, Zaupa S, Borgomaneiro G, Eckert E, Gariboldi L, Marchetto A, Musazzi S, Sabatino R, Paganelli D, Fontaneto D, (2021) (in press). Ricerca ed innovazione sul Lago Maggiore: indicatori di qualità nel continuum acqua - rive. Rapporto finale 2019-2021. Commissione Internazionale per la Protezione delle Acque Italo-Svizzere (Ed.): 220 pp.
  3. Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R, 1994. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol. Mar. Biol. Biotechnol. 3(5):294-9.
  4. Hebert PD, Cywinska A, Ball SL, DeWaard JR, 2003. Biological identifications through DNA barcodes. Proceedings of the Royal Society of London. Series B: Biological Sciences 270(1512):313-321.
  5. Katoh K, Standley DM, 2013. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 30(4):772-780. Timm T, 2009. A guide to the freshwater Oligochaeta and Polychaeta of Northern and Central Europe. Lauterbornia 66:235 pp.
  6. Zaupa S, Fontaneto D, Sabatino R, Boggero A, (2022) (submitted). Building a local reference library for metabarcoding survey of lake macrobenthos: oligochaetes and chironomids from Lake Maggiore. Advances in Oceanography and Limnology.

追加のメタデータ

代替識別子 c6686f13-e38d-4c24-bfd7-f1a8bd5f15b8
https://cloud.gbif.org/eca/resource?r=lake_maggiore_cipais