Integrated Publishing Toolkit(IPT)

free and open access to biodiversity data

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

Latest version published by CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal on Sep 10, 2020 CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal

The dataset contains eight records of moth specimens of the genus Ypsolopha collected from 2015 to 2017 in continental Portugal. 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).

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 8 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Downloads

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 8 records in English (8 KB) - Update frequency: as needed
Metadata as an EML file download in English (24 KB)
Metadata as an RTF file download in English (17 KB)

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Corley M, Ferreira S, Mata V A, Sousa P, Beja P (2020): The InBIO Barcoding Initiative Database: Ypsolopha rhinolophi sp. nov. (Lepidoptera: Ypsolophidae), a new species from Portugal and France unveiled by bats. v1.0. CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. Dataset/Occurrence. https://doi.org/10.15468/zbu2w8

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal. This work is licensed under a Creative Commons Attribution (CC-BY) 4.0 License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 9813ea12-db95-4695-8c7a-b001e2ac5a2c.  CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Portugal.

Keywords

Lepidoptera; Species; Occurrence; Cytochrome c oxidase I (COI); DNA barcode; Continental Portugal

Contacts

Who created the resource:

Martin Corley
Researcher
Pucketty Farm Cottage SN7 8JP Faringdon Oxfordshire GB
Sónia Ferreira
Post-Doc Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411
Vanessa Alves Mata
Post-Doc Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411
Pedro Sousa
Post-Doc Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411
Pedro Beja
Coordinating Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411

Who can answer questions about the resource:

Pedro Beja
Coordinating Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411
Sónia Ferreira
Post-Doc Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411

Who filled in the metadata:

Martin Corley
Researcher
Pucketty Farm Cottage SN7 8JP Faringdon Oxfordshire GB
Sónia Ferreira
Post-Doc Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411
Vanessa Alves Mata
Post-Doc Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411
Pedro Sousa
Post-Doc Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411
Pedro Beja
Coordinating Researcher
CIBIO-InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto Campus Agrário de Vairão, Rua Padre Armando Quintas, nº 7 4485-661 Vairão Porto PT +351 252660411

Geographic Coverage

Continental Portugal.

Bounding Coordinates South West [41.631, -8.413], North East [41.909, -6.274]

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.

Kingdom  Animalia
Phylum  Arthropoda
Class  Insecta
Order  Lepidoptera
Family  Ypsolophidae

Temporal Coverage

Start Date / End Date 2015-06-18 / 2017-07-21

Project Data

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.

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

The personnel involved in the project:

Sampling Methods

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.

Study Extent Specimens were collected in seven different localities of continental Portugal. Sampling was conducted from 2015 to 2017.
Quality Control 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/).

Method step description:

  1. 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.
  2. The captured specimen was preserved in 96% ethanol.
  3. 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).
  4. 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.
  5. 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.
  6. Prior submission to GBIF, data was checked for errors and inconsistencies with OpenRefine 3.3 (http://openrefine.org/).

Collection Data

Collection Name InBIO Barcoding Initiative
Collection Identifier 4ec2b246-f5fa-4b90-9a8d-ddafc2a3f970
Parent Collection Identifier CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal
Specimen preservation methods Alcohol
Curatorial Units Between 1 and 8 Voucher tube ,  Between 1 and 8 DNA extractions

Bibliographic Citations

  1. Clerck, C.A. (1759) Icones insectorum rariorum cum nominibus eorum trivialibus locisque e C. Linnaei Systemae Naturae allegatis, Stockholm, 21 pp., 55 pls.
  2. 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. https://doi.org/10.11646/zootaxa.4609.3.10
  3. Denis, M. & Schiffermüller, I. (1775) Ankündung eines systematischen Werkes von den Schmetterlingen der Wienergegend. Vienna, 324 pp.
  4. Fabricius, J.C. (1775) Systema Entomologicae, sistens Insectorum classes, ordines, genera, species, adjectis, synonymis, locis, descriptionibus, observationibus. Flensburg, Lipsia, 832 pp. https://doi.org/10.5962/bhl.title.36510
  5. 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. https://doi.org/10.5962/bhl.title.11657
  6. Jin, Q., Wang, S.X. & Li, H.H. (2013) Review of the genus Ypsolopha Latreille, 1796 from China. Zootaxa, 3705 (1), 1–91. https://doi.org/10.11646/zootaxa.3705.1.1
  7. Linnaeus, C. (1761) Fauna Svecica. 2nd Edition. Laurentii Salvii, Stockholm, 578 pp.

Additional Metadata

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.
Alternative Identifiers 9813ea12-db95-4695-8c7a-b001e2ac5a2c
http://ipt.gbif.pt/ipt/resource?r=ibi_lepidoptera_ypsolopha_rhinolophi