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The InBIO Barcoding Initiative Database: Ypsolopha rhinolophi sp. nov. (Lepidoptera: Ypsolophidae), a new species from Portugal and France unveiled by bats

The dataset contains eight records of moth specimens of the genus Ypsolopha collected from 2015 to 2017 in continental Portugal. The study of these specimens resulted in the description of a new species, Y. rhinolophi (Corley, 2019), present in northern Portugal and south-east France, similar to Y. alpella (Denis amp; Schiffermüller, 1775) and Y. lucella (Fabricius, 1775), based on clear differences in male and female genitalia and on DNA barcodes in Corley et al. (2019). Specimens were detected and captured by direct search of the environment during the day, with adults hand-netted and larvae reared to adulthood, and by night using mercury-vapor lamps to attract the insects. Captured specimens were identified to species level and preserved in 96% ethanol. A tissue sample, usually 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. 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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Default

Identification

Alternate Identifier

9813ea12-db95-4695-8c7a-b001e2ac5a2c

Publication Date
2021-01-05
Title

The InBIO Barcoding Initiative Database: Ypsolopha rhinolophi sp. nov. (Lepidoptera: Ypsolophidae), a new species from Portugal and France unveiled by bats

Abstract

The dataset contains eight records of moth specimens of the genus Ypsolopha collected from 2015 to 2017 in continental Portugal. The study of these specimens resulted in the description of a new species, Y. rhinolophi (Corley, 2019), present in northern Portugal and south-east France, similar to Y. alpella (Denis amp; Schiffermüller, 1775) and Y. lucella (Fabricius, 1775), based on clear differences in male and female genitalia and on DNA barcodes in Corley et al. (2019). Specimens were detected and captured by direct search of the environment during the day, with adults hand-netted and larvae reared to adulthood, and by night using mercury-vapor lamps to attract the insects. Captured specimens were identified to species level and preserved in 96% ethanol. A tissue sample, usually 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. 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
  Martin Corley (Researcher)

Pucketty Farm Cottage

,

Faringdon

,

Oxfordshire

,

SN7 8JP

,

UNITED_KINGDOM

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 - Vanessa Alves Mata (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
  Martin Corley (Researcher)

Pucketty Farm Cottage

,

Faringdon

,

Oxfordshire

,

SN7 8JP

,

UNITED_KINGDOM

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 - Vanessa Alves Mata (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)
  • Lepidoptera

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

-8.413

East Bounding Coordinate

-6.274

North Bounding Coordinate

41.909

South Bounding Coordinate

41.631

Temporal Coverage

Range of Dates

Begin Date

2015-06-18

End Date

2017-07-21

Taxonomic Coverage

General Taxonomic Coverage

This dataset is composed of data relating to 8 Lepidoptera specimens. All specimens were determined to species level. All specimens belong to the genus Ypsolopha Latreille, 1796 and the family Ypsolophidae.

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

Lepidoptera

Taxonomic Classification

Taxonomic Rank Name

Family

Taxonomic Rank Value

Ypsolophidae

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-IBILP4
 

Additional Metadata

Metadata

GBIF Metadata Block

Date Stamp

2021-11-29T09:02:46Z

Citation

Corley M, Ferreira S, Mata V A, Sousa P, Beja P (2021). The InBIO Barcoding Initiative Database: Ypsolopha rhinolophi sp. nov. (Lepidoptera: Ypsolophidae), a new species from Portugal and France unveiled by bats. Version 1.2. CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. Occurrence dataset https://doi.org/10.15468/zbu2w8 accessed via GBIF.org on 2021-11-29.

Bibliography

Clerck, C.A. (1759) Icones insectorum rariorum cum nominibus eorum trivialibus locisque e C. Linnaei Systemae Naturae allegatis, Stockholm, 21 pp., 55 pls.

Corley, M.F.V., Ferreira, S. Mata, V.A. (2019). Ypsolopha rhinolophi sp. nov. (Lepidoptera: Ypsolophidae), a new species from Portugal and France unveiled by bats. Zootaxa, 4609(3): 565–573.

Denis, M. Schiffermüller, I. (1775) Ankündung eines systematischen Werkes von den Schmetterlingen der Wienergegend. Vienna, 324 pp.

Fabricius, J.C. (1775) Systema Entomologicae, sistens Insectorum classes, ordines, genera, species, adjectis, synonymis, locis, descriptionibus, observationibus. Flensburg, Lipsia, 832 pp.

Fabricius, J.C. (1787) Mantissa Insectorum sistens eorum species, nuper detectas adjectis characteribus generis, differentiis specificis emendationibus, observationibus. Vol. 2. Impensis Christ. Gottl. Proft, Hafniae, 382 pp.

Jin, Q., Wang, S.X. Li, H.H. (2013) Review of the genus Ypsolopha Latreille, 1796 from China. Zootaxa, 3705 (1), 1–91.

Linnaeus, C. (1761) Fauna Svecica. 2nd Edition. Laurentii Salvii, Stockholm, 578 pp.

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

8

JGTI Curatorial Unit

DNA extractions

1

8

 

Project

• Project

Title

The InBIO Barcoding Initiative Database: Ypsolopha rhinolophi sp. nov. (Lepidoptera: Ypsolophidae), a new species from Portugal and France unveiled by bats

Personnel

Individual Name

Given Name

Pedro

Surname

Beja

User ID

0000-0001-8164-0760

Role

AUTHOR

Personnel

Individual Name

Given Name

Martin

Surname

Corley

User ID

0000-0003-4240-8007

Role

AUTHOR

Personnel

Individual Name

Given Name

Sónia

Surname

Ferreira

User ID

0000-0002-6884-3966

Role

AUTHOR

Personnel

Individual Name

Given Name

Vanessa Alves

Surname

Mata

User ID

0000-0003-3005-9030

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, 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 by EDP Biodiversity Chair, 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 two districts of continental Portugal, in a total of seven different localities. Sampling was conducted from 2015 to 2017.

Design Description

Description

Specimens in this dataset were collected in field work carried out between 2015 to 2017. Specimens were captured by direct search of the environment during the day, and using mercury-vapor lamps by night.

 
 

Methods

• Method

Method Step

Description

Sampling of specimens was done at seven different localities of continental Portugal, between 2015 and 2017. Specimens were detected and captured by direct search during the day, with adults hand-netted and larvae reared to adulthood, and by night using mercury-vapor lamps as lures.

Method Step

Description

The captured specimen was preserved in 96% ethanol.

Method Step

Description

The specimen was morphologically identified using a binocular stereoscopic microscope and resorting to available literature (Clerck, 1759; Corley, Ferreira Mata, 2019; Denis Schiffermüller, 1775; Fabricius, 1775, 1787; Jin, Wang Li, 2013; Linnaeus, 1761).

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 seven different localities of continental Portugal. Sampling was conducted from 2015 to 2017.

Sampling Description

Sampling of specimens was done at seven different localities of continental Portugal. Sampling was conducted between 2015 to 2017. 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/).