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 & 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).

Default

Identification

Alternate Identifier
10.15468/zbu2w8
Alternate Identifier
9813ea12-db95-4695-8c7a-b001e2ac5a2c
Alternate Identifier
http://ipt.gbif.pt/ipt/resource?r=ibi_lepidoptera_ypsolopha_rhinolophi
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 & 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

.

 

Distributiondocument

Online

URL
http://www.boldsystems.org/index.php/Public_SearchTerms?query=DS-IBILP4
 
 

Projects

Projects

• ProjectInBIO Barcoding Initiative

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

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/).
 
 

Not available