The InBIO Barcoding Initiative Database: DNA barcoding of Sialis sp. (Megaloptera) in Portugal: the missing tool to species identification

The dataset contains five records of the alderfly genus Sialis Latreille, 1803 (Megaloptera, Sialidae) collected in 2011 and 2015 in northern continental Portugal. The study of these specimens found two species previously unknown in the country, S. lutaria Linnaeus, 1758 and S. nigripes Pictet, 1865 and confirmed the presence of S. fuliginosa Pictet, 1836 in Portugal (Ferreira et al. 2019). In that work the three species were identified morphologically and confirmed with DNA barcodes. Specimens were detected by direct search on vegetation and rocks around river streams and captured with a hand-net. Captured specimens were identified to species level and preserved 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 were deposited in BOLD (Barcode of Life Data System) and GenBank online databases. DNA extracts are deposited in the IBI collection at the CIBIO (Research Center in Biodiversity and Genetic Resources).

Default

Identification

Alternate Identifier

22f83f75-3b92-4db6-a86e-8dac512c4e65

Publication Date
2021-01-05
Title

The InBIO Barcoding Initiative Database: DNA barcoding of Sialis sp. (Megaloptera) in Portugal: the missing tool to species identification

Abstract

The dataset contains five records of the alderfly genus Sialis Latreille, 1803 (Megaloptera, Sialidae) collected in 2011 and 2015 in northern continental Portugal. The study of these specimens found two species previously unknown in the country, S. lutaria Linnaeus, 1758 and S. nigripes Pictet, 1865 and confirmed the presence of S. fuliginosa Pictet, 1836 in Portugal (Ferreira et al. 2019). In that work the three species were identified morphologically and confirmed with DNA barcodes. Specimens were detected by direct search on vegetation and rocks around river streams and captured with a hand-net. Captured specimens were identified to species level and preserved 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 were deposited in BOLD (Barcode of Life Data System) and GenBank online databases. 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 - Joana Paupério (Post-Doc Researcher)

Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7

,

Vairão

,

Porto

,

4485-661

,

PORTUGAL

Dataset Creator
Dataset Creator
  CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto - Pedro Sousa (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 - Joana Paupério (Post-Doc Researcher)

Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7

,

Vairão

,

Porto

,

4485-661

,

PORTUGAL

Metadata Provider
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)

  • Megaloptera

Keywords (n/a)

  • Sialidae

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 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

-7.011

East Bounding Coordinate

-6.556

North Bounding Coordinate

41.775

South Bounding Coordinate

41.527

Temporal Coverage

Range of Dates

Begin Date

2011-06-27

End Date

2015-04-30

Taxonomic Coverage

General Taxonomic Coverage

This dataset is composed of data relating to five Megaloptera specimens. All specimens were determined to species level. All specimens belong to the genus Sialis Latreille, 1803, and the family Sialidae.

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

Megaloptera

Taxonomic Classification

Taxonomic Rank Name

Family

Taxonomic Rank Value

Sialidae

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/index.php/Public_SearchTerms?query=DS-IBIMP1
 

Additional Metadata

Metadata

GBIF Metadata Block

Date Stamp

2021-11-29T09:06:24Z

Citation

Ferreira S, Paupério J, Grosso-Silva J M, Sousa P, Beja P (2021). The InBIO Barcoding Initiative Database: DNA barcoding of Sialis sp. (Megaloptera) in Portugal: the missing tool to species identification. Version 1.2. CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. Occurrence dataset https://doi.org/10.15468/x7yk7m accessed via GBIF.org on 2021-11-29.

Bibliography

Ferreira, S., Paupério, J., Grosso-Silva, J.M. Beja, P. (2019). DNA barcoding of Sialis sp. (Megaloptera) in Portugal: the missing tool to species identification. Aquatic Insects, 40(2): 173-184.

Monserrat, V.J. (2014). Los megalopteros de la Península Ibérica (Insecta, Neuropterida, Megaloptera, Sialidae), Graellsia, 70(2), e009.

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

5

JGTI Curatorial Unit

DNA extractions

1

5

 

Project

• Project

Title

The InBIO Barcoding Initiative Database: DNA barcoding of Sialis sp. (Megaloptera) in Portugal: the missing tool to species identification

Personnel

Individual Name

Given Name

Pedro

Surname

Beja

User ID

0000-0001-8164-0760

Role

AUTHOR

Personnel

Individual Name

Given Name

Sónia

Surname

Ferreira

User ID

0000-0002-6884-3966

Role

AUTHOR

Personnel

Individual Name

Given Name

Joana

Surname

Paupério

User ID

0000-0003-2569-0768

Role

AUTHOR

Personnel

Individual Name

Given Name

José Manuel

Surname

Grosso-Silva

User ID

0000-0002-1094-0771

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), and is part of research conducted at the Long Term Research Site of Baixo Sabor (LTER_EU_PT_002).

Study Area Description

Descriptor

Specimens were collected in continental Portugal, in four different localities. Sampling was conducted in 2011 and 2015.

Design Description

Description

Specimens in this dataset were collected in field work carried in 2011 and 2015. Adult specimens were detected by direct search on vegetation and rocks around river streams and captured with a hand-net.

 
 

Methods

• Method

Method Step

Description

Sampling of specimens was done at four different localities of continental Portugal, in 2011 and 2015. Adult specimens were detected by direct search on vegetation and rocks around river streams and captured with a hand-net.

Method Step

Description

The captured specimens were preserved in 96% ethanol.

Method Step

Description

The specimens were morphologically identified using a binocular stereoscopic microscope and resorting to available literature (Monserrat, 2014).

Method Step

Description

DNA barcodes were sequenced from all 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

The obtained sequences were submitted to BOLD and GenBank databases and the specimens’ morphological identification was contrasted with the results of the BLAST of the newly generated DNA barcode in BOLD Identification Engine.

Method Step

Description

Prior submission to GBIF, data was checked for errors and inconsistencies with OpenRefine 3.3 ( http://openrefine.org/).

Sampling

Study Extent

Specimens were collected in four different localities of continental Portugal. Sampling was conducted in 2011 and 2015.

Sampling Description

Sampling of specimens was done at four different localities of continental Portugal. Sampling was conducted in 2011 and 2015. Captured specimens were preserved in 96% ethanol and stored at the InBIO Barcoding Initiative reference collection for downstream molecular analysis. The collected specimens were morphologically identified.

qualityControl

Description

The DNA barcoded specimen morphological identification was contrasted with the results of the Blast of the newly generated DNA barcode in BOLD Identification Engine. Prior submission to GBIF, data was checked for errors and inconsistencies with OpenRefine 3.3 ( http://openrefine.org/).