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The InBIO Barcoding Initiative Database: Portuguese Stag beetles (Coleoptera, Lucanidae)

The dataset contains 11 records of Stag beetle (Lucanidae) species collected from 2015 to 2019 in continental Portugal. All specimens were identified to species level, and belong to 3 species of the Lucanidae (Coleoptera). Specimens were detected during fieldwork by direct search and stored in 96% ethanol. A tissue sample (a leg), was collected from each individual, from which DNA was extracted. The DNA barcoding of these specimens was conducted within the InBIO Barcoding Initiative (IBI), funded by EnvMetaGen and PORBIOTA projects. DNA barcode sequences available were deposited in BOLD (Barcode of Life Data System) online database. Preserved specimens and DNA extracts are deposited in the IBI collection at the CIBIO (Research Center in Biodiversity and Genetic Resources).

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  • Methods
  • Data Tables

Default

Identification

Alternate Identifier

f1f1225f-4247-43a3-83de-7fbd2dca7e92

Publication Date
2021-11-11
Title

The InBIO Barcoding Initiative Database: Portuguese Stag beetles (Coleoptera, Lucanidae)

Abstract

The dataset contains 11 records of Stag beetle (Lucanidae) species collected from 2015 to 2019 in continental Portugal. All specimens were identified to species level, and belong to 3 species of the Lucanidae (Coleoptera). Specimens were detected during fieldwork by direct search and stored in 96% ethanol. A tissue sample (a leg), was collected from each individual, from which DNA was extracted. The DNA barcoding of these specimens was conducted within the InBIO Barcoding Initiative (IBI), funded by EnvMetaGen and PORBIOTA projects. DNA barcode sequences available were deposited in BOLD (Barcode of Life Data System) online database. Preserved specimens and DNA extracts are deposited in the IBI collection at the CIBIO (Research Center in Biodiversity and Genetic Resources).

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 - 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 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 - 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 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)
  • Coleoptera

Keywords (n/a)
  • Lucanidae

Keywords (n/a)
  • Species

Keywords (n/a)
  • Cytochrome c oxidase I (COI)

Keywords (n/a)
  • DNA barcode

Keywords (n/a)
  • Continental Portugal

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

Keywords (GBIF Dataset Subtype Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_subtype.xml)
  • Specimen

Keywords (GBIF Dataset Type Vocabulary: http://rs.gbif.org/vocabulary/gbif/dataset_type_2015-07-10.xml)
  • Occurrence

Geographic Coverage

Geographic Description

Continental Portugal

Bounding Box

West Bounding Coordinate

-9

East Bounding Coordinate

-6.7

North Bounding Coordinate

41.9

South Bounding Coordinate

37

Temporal Coverage

Range of Dates

Begin Date

2015-06-17

End Date

2019-09-19

Taxonomic Coverage

General Taxonomic Coverage

This dataset is composed of data relating to 11 Lucanidae (Coleoptera) specimens. All specimens were determined to species level. Three of the four Stag beetle species known to occur in continental Portugal are represented in the dataset, with Dorcus parallelipipedus as the most represented species in the dataset, accounting for seven of the eleven specimens.

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

Coleoptera

Taxonomic Classification

Taxonomic Rank Name

Family

Taxonomic Rank Value

Lucanidae

License Information

Intellectual Rights

This work is licensed under a

Creative Commons Attribution (CC-BY) 4.0 License

.

 

Distribution

Online

URL
http://boldsystems.org
 

Additional Metadata

Metadata

GBIF Metadata Block

Date Stamp

2021-11-29T09:06:40Z

Citation

Ferreira S, P. da Silva L, Sousa P, Beja P (2021). The InBIO Barcoding Initiative Database: Portuguese Stag beetles (Coleoptera, Lucanidae). Version 1.5. CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. Occurrence dataset https://doi.org/10.15468/7559ru accessed via GBIF.org on 2021-11-29.

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

11

JGTI Curatorial Unit

DNA extractions

1

11

 

Project

• Project

Title

The InBIO Barcoding Initiative Database: Portuguese Stag beetles (Coleoptera, Lucanidae)

Personnel

Individual Name

Given Name

Pedro

Surname

Beja

User ID

0000-0001-8164-0760

Role

AUTHOR

Personnel

Individual Name

Given Name

Pedro

Surname

Sousa

User ID

0000-0002-5859-9656

Role

ORIGINATOR

Personnel

Individual Name

Given Name

Luís

Surname

P. da Silva

User ID

0000-0003-2358-1277

Role

AUTHOR

Personnel

Individual Name

Given Name

Sónia

Surname

Ferreira

User ID

0000-0002-6884-3966

Role

AUTHOR

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, the project “Promoção dos serviços de ecossistemas no Parque Natural Regional do Vale do Tua: Controlo de Pragas Agrícolas e Florestais por Morcegos” funded by the Agência de Desenvolvimento Regional do Vale do Tua, the FCT project PTDC/ASP-SIL/30250/2017 - POCI-01-0145-FEDER-030250 and includes research conducted at the Long Term Research Site of Baixo Sabor (LTER_EU_PT_002).

Study Area Description

Descriptor

Specimens were collected in five Portugal districts and a total of ten sites were sampled. Sampling was conducted from 2015 to 2019.

Design Description

Description

Specimens in this dataset were collected in field work carried out between 2015 and 2019. Specimens were located by direct searches carried out during field work, which enabled the sampling of both live and dead specimens.

 
 

Methods

• Method

Method Step

Description

Sampling was conducted in continental Portugal from 2015 and 2019, and consisted in direct search. Specimens collected were stored in 96% ethanol. A tissue sample (leg) was removed from which DNA was extracted and the COI DNA barcode fragment was sequenced. 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 localities of continental Portugal. Sampling was conducted from 2015 to 2019, in several field work expeditions.

Sampling Description

Specimens were collected in ten localities of continental Portugal. Sampling was conducted between 2015 and 2019, by direct search. Collected specimens were identified using a binocular stereoscopic microscope and stored in 96% ethanol for downstream molecular analysis.

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.