DiSSCo-ITINERIS dataset

Metabarcoding survey of Chironomids and Oligochaetes in Lake Maggiore

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Version
1.7
Created
2022-12-23 (09:49:40)
Modified
2023-02-08 (18:40:17)
Publication
2023-02-08 (00:00:00)
Language
eng
Home Page
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Dataset Label
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Dataset Type
Occurrence
Dataset subtype
n/a
Description
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: 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.
Purpose
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Keywords
Occurrence; DNA Barcode; Macroinvertebrates; Lentic waters; Midges; Freshwater annelid
Collection
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Taxonomic Coverage
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
Phylum: Arthropoda
Geographic Coverage
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.
Min Latitude: 45.722
Max Latitude: 46.18
Min Longitude: 8.482
Max Longitude: 8.861
Global Coverage: n/a
Temporal Coverages
10/04/2019-22/03/2022
Citation
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://doi.org/10.15468/8wbqfc accessed via GBIF.org on 2025-05-03.
Identifiers
UUID: c6686f13-e38d-4c24-bfd7-f1a8bd5f15b8
URL: https://cloud.gbif.org/eca/resource?r=lake_maggiore_cipais
Contributors

Silvia Zaupa (Originator)
Post Doc
CNR-IRSA
https://orcid.org/0000-0001-7379-6087
silvia.zaupa@gmail.com

Diego Fontaneto (Originator)
Researcher
CNR-IRSA
https://orcid.org/0000-0002-5770-0353
diego.fontaneto@cnr.it

Raffaella Sabatino (Originator)
Post Doc
CNR-IRSA
https://orcid.org/0000-0003-0093-7808
raffaella.sabatino@irsa.cnr.it

Angela Boggero (Originator)
Resarcher
CNR-IRSA
https://orcid.org/0000-0002-7534-3126
angela.boggero@cnr.it

Silvia Zaupa (Metadata author)
Post Doc
CNR-IRSA
silvia.zaupa@gmail.com

Lyudmila Kamburska (Point of contact)
Consiglio Nazionale delle Ricerche (CNR), Istituto di Ricerca sulle Acque (IRSA); National Biodiversity Future Center (NBFC)
lyudmila.kamburska@irsa.cnr.it

Silvia Zaupa (Administrative point of contact)
Post Doc
CNR-IRSA
silvia.zaupa@gmail.com

Project
n/a
Sampling
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.
Sampling: 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).
Quality Control: All sequences were checked in GenBank.
Method Steps: 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.
Additional Info
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Acknowledgements
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IR0000032 – ITINERIS, Italian Integrated Environmental Research Infrastructures System (D.D. n. 130/2022 - CUP B53C22002150006) Funded by EU - Next Generation EU PNRR- Mission 4 “Education and Research” - Component 2: “From research to business” - Investment 3.1: “Fund for the realisation of an integrated system of research and innovation infrastructures”
  National Research Council of Italy. All Rights Reserved.

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