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)

  • Panorpidae

Keywords (n/a)

  • Species

Keywords (GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type.xml)

  • Occurrence

Keywords (n/a)

  • Cytochrome c oxidase I (COI)

Keywords (n/a)

  • DNA barcode

Keywords (n/a)

  • 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

URL
http://www.boldsystems.org
 

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.

Logo URL
https://cibio.up.pt/upload/image/logotipos/2-logo.png
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/).