The InBIO Barcoding Initiative Database: Portuguese Scorpionflies (Mecoptera, Panorpidae)
The dataset contains 13 records of Scorpionflies (Panorpidae) species collected from 2008 to 2019 in continental Portugal. All captured specimens were identified as Panorpa meridionalis, so far the only species of Mecoptera known to exist in Portugal
Specimens were detected and captured by direct search of the environment. Captured specimens were preserved in 96% ethanol. From each specimen one leg (tissue sample) was removed to be used for DNA extraction. Preserved specimens and DNA extracts are deposited in the InBIO Barcoding Initiative (IBI) collection at the CIBIO (Research Center in Biodiversity and Genetic Resources).
Samples of each species were selected for DNA sequencing based on geographic provenance of the corresponding specimen. Sequencing of the 658 bp DNA barcodes was conducted within the InBIO Barcoding Initiative (IBI) and all DNA sequences were submitted to BOLD (Barcode of Life Data System) and GenBank databases.
Default
Identification
- Alternate Identifier
-
7b84fe1d-42d0-439a-b60f-0b621f7ba93d
- Publication Date
- 2020-08-03
- Title
-
The InBIO Barcoding Initiative Database: Portuguese Scorpionflies (Mecoptera, Panorpidae)
- Abstract
-
The dataset contains 13 records of Scorpionflies (Panorpidae) species collected from 2008 to 2019 in continental Portugal. All captured specimens were identified as Panorpa meridionalis, so far the only species of Mecoptera known to exist in Portugal
Specimens were detected and captured by direct search of the environment. Captured specimens were preserved in 96% ethanol. From each specimen one leg (tissue sample) was removed to be used for DNA extraction. Preserved specimens and DNA extracts are deposited in the InBIO Barcoding Initiative (IBI) collection at the CIBIO (Research Center in Biodiversity and Genetic Resources).
Samples of each species were selected for DNA sequencing based on geographic provenance of the corresponding specimen. Sequencing of the 658 bp DNA barcodes was conducted within the InBIO Barcoding Initiative (IBI) and all DNA sequences were submitted to BOLD (Barcode of Life Data System) and GenBank databases.
- purpose
-
The InBIO Barcoding Initiative (IBI) aims to develop a reference collection of DNA barcoding sequences primarily covering Portuguese invertebrate taxa providing a tool in ecological studies.
- Dataset Language
-
ENGLISH
- Dataset Creator
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Daniel Oliveira (Master’s Student)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Dataset Creator
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Sónia Ferreira (Post-Doc Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Dataset Creator
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Luís P. da Silva (Post-Doc Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Dataset Creator
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Brito Lopes (Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Dataset Creator
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Sousa (Post-Doc Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Dataset Creator
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Beja (Coordinating Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Metadata Provider
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Daniel Oliveira (Master’s Student)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Metadata Provider
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Sónia Ferreira (Post-Doc Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Metadata Provider
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Luís P. da Silva (Post-Doc Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Metadata Provider
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Brito Lopes (Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Metadata Provider
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Sousa (Post-Doc Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Metadata Provider
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Beja (Coordinating Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Dataset Contact
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Beja (Coordinating Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Dataset Contact
-
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Sónia Ferreira (Post-Doc Researcher)
Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7
,Vairão
,Porto
,4485-661
,PORTUGAL
- Keywords (n/a)
-
-
Mecoptera
-
- Keywords (n/a)
-
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Panorpidae
-
- Keywords (n/a)
-
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Species
-
- Keywords (GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml)
-
-
Occurrence
-
- Keywords (n/a)
-
-
Cytochrome c oxidase I (COI)
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- Keywords (n/a)
-
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DNA barcode
-
- Keywords (n/a)
-
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Continental Portugal
-
- Keywords (GBIF Dataset Subtype Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_subtype.xml)
-
-
Specimen
-
Geographic Coverage
- Geographic Description
-
Continental Portugal
Bounding Box
- West Bounding Coordinate
-
-8.7
- East Bounding Coordinate
-
-6.4
- North Bounding Coordinate
-
42
- South Bounding Coordinate
-
39.8
Temporal Coverage
Range of Dates
- Begin Date
-
2008-06-02
- End Date
-
2019-06-28
Taxonomic Coverage
- General Taxonomic Coverage
-
This dataset is composed of data relating to 13 specimens of Panorpa meridionalis, the only species of Mecoptera known to occur in Portugal.
Taxonomic Classification
- Taxonomic Rank Name
-
Kingdom
- Taxonomic Rank Value
-
Animalia
Taxonomic Classification
- Taxonomic Rank Name
-
Phylum
- Taxonomic Rank Value
-
Arthropoda
Taxonomic Classification
- Taxonomic Rank Name
-
Class
- Taxonomic Rank Value
-
Insecta
Taxonomic Classification
- Taxonomic Rank Name
-
Order
- Taxonomic Rank Value
-
Mecoptera
Taxonomic Classification
- Taxonomic Rank Name
-
Family
- Taxonomic Rank Value
-
Panorpidae
License Information
- Intellectual Rights
-
This work is licensed under a
Creative Commons Attribution (CC-BY) 4.0 License
.
Distribution
Online
Additional Metadata
Metadata
GBIF Metadata Block
- Date Stamp
-
2021-11-29T09:05:51Z
- Citation
-
Oliveira D, Ferreira S, P. da Silva L, Lopes P B, Sousa P, Beja P (2020). The InBIO Barcoding Initiative Database: Portuguese Scorpionflies (Mecoptera, Panorpidae). Version 1.8. CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. Occurrence dataset https://doi.org/10.15468/rmj9sz accessed via GBIF.org on 2021-11-29.
- Bibliography
-
Monserrat, V. J. and Tillier, P. (2013) ‘Sinopsis de los Mecópteros de la Península Ibérica (Insecta, Mecoptera)’, Boletín de la Sociedad Entomológica Aragonesa (S.E.A.), 53(1926), pp. 143–152.
Ward, P. H. (1983) ‘Scorpion-flies of the panorpa cognata-complex in the western palaearctic region (Mecoptera)’, Journal of Natural History, 17(4), pp. 627–645. doi: 10.1080/00222938300770521.
- Collection
-
CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal
4ec2b246-f5fa-4b90-9a8d-ddafc2a3f970
InBIO Barcoding Initiative
- Speciment Preservation Method
-
ALCOHOL
- JGTI Curatorial Unit
-
Voucher tube
1
13
- JGTI Curatorial Unit
-
DNA extractions
1
13
Project
• Project
- Title
-
The InBIO Barcoding Initiative Database: Portuguese Scorpionflies (Mecoptera, Panorpidae)
Personnel
Individual Name
- Given Name
-
Pedro
- Surname
-
Beja
- User ID
-
0000-0001-8164-0760
- Role
-
AUTHOR
Personnel
Individual Name
- Given Name
-
Daniel
- Surname
-
Oliveira
- User ID
-
0000-0002-8733-4104
- Role
-
AUTHOR
Personnel
Individual Name
- Given Name
-
Luís
- Surname
-
P. da Silva
- User ID
-
0000-0003-2358-1277
- Role
-
AUTHOR
Personnel
Individual Name
- Given Name
-
Pedro Brito
- Surname
-
Lopes
- User ID
-
0000-0002-5078-0602
- Role
-
AUTHOR
Personnel
Individual Name
- Given Name
-
Sónia
- Surname
-
Ferreira
- User ID
-
0000-0002-6884-3966
- Role
-
AUTHOR
Personnel
Individual Name
- Given Name
-
Pedro
- Surname
-
Sousa
- User ID
-
0000-0002-5859-9656
- Role
-
ORIGINATOR
- Abstract
-
The InBIO Barcoding Initiative aims to develop a reference collection of DNA barcoding sequences covering Portuguese invertebrate taxa. Within the project, a special focus is afforded to insects, given their relevance to food webs, ecosystems functioning, high diversity and limited number of DNA barcoding sequences of interest.
- Funding
-
InBIO Barcoding Initiative is funded by the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No 668981 and by the project PORBIOTA — Portuguese E-Infrastructure for Information and Research on Biodiversity (POCI-01-0145-FEDER-022127), supported by Operational Thematic Program for Competitiveness and Internationalization (POCI), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (FEDER). The fieldwork benefited from EDP Biodiversity Chair and the FCT project PTDC/ASP-SIL/30250/2017 - POCI-01-0145-FEDER-030250.
Study Area Description
- Descriptor
-
Specimens were captured in several field incursions from 2008 to 2019 in in ten localities in the northern half of Portugal, encompassing seven districts.
Design Description
- Description
-
The specimens in this dataset were collected in field work incursion carried out between 2008 and 2019, encompassing several sites throughout northern Portugal. Specimens of Mecoptera were detected by direct search.
Methods
• Method
Method Step
- Description
-
Specimens of Mecoptera were captured in continental Portugal from 2008 and 2019 by direct search of the sampling site. Collected specimens were preserved in 96% ethanol prior to storage.
Method Step
- Description
-
The specimens were morphologically identified resorting to available literature (Ward, 1983; Monserrat and Tillier, 2013).
Method Step
- Description
-
DNA barcodes were sequenced from 11 specimens. For this, one leg was removed from each individual from which a 658 bp COI DNA barcode fragment was extracted, amplified and sequenced.
Method Step
- Description
-
All obtained sequences were submitted to BOLD and GenBank databases and to each sequenced specimen the morphological identification was contrasted with the results of the BLAST of the newly generated DNA barcodes in BOLD Identification Engine.
Method Step
- Description
-
Prior submission to GBIF, data was checked for errors and inconsistencies with OpenRefine 3.2 ( http://openrefine.org/).
Sampling
- Study Extent
-
Specimens were collected in ten sites distributed among seven districts in the north of Portugal. Sampling was conducted from 2008 to 2019, in several field work expeditions.
- Sampling Description
-
Specimens were captured from 2008 to 2019 in continental Portugal by direct search of ten sampling sites. Captured insects were preserved in 96% ethanol and stored at the InBIO Barcoding Initiative reference collection for downstream molecular analysis. Collected specimens were morphologically identified using a binocular stereoscopic microscope.
qualityControl
- Description
-
To each specimen the morphological identification was contrasted with the results of the Blast of the newly generated DNA barcodes in BOLD Identification Engine. Prior submission to GBIF, data was checked for errors and inconsistencies with OpenRefine 3.2 ( http://openrefine.org/).