オカレンス(観察データと標本)

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

最新バージョン CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal によって公開 2021/01/05 CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 8 レコード English で (8 KB) - 更新頻度: as needed
EML ファイルとしてのメタデータ ダウンロード English で (25 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (18 KB)

説明

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).

データ レコード

この オカレンス(観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、8 レコードが含まれています。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

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

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 9813ea12-db95-4695-8c7a-b001e2ac5a2cが割り当てられています。   GBIF Portugal によって承認されたデータ パブリッシャーとして GBIF に登録されているCIBIO (Research Center in Biodiversity and Genetic Resources) Portugal が、このリソースをパブリッシュしました。

キーワード

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

連絡先

Martin Corley
  • メタデータ提供者
  • 最初のデータ採集者
Researcher
Pucketty Farm Cottage
SN7 8JP Faringdon
Oxfordshire
GB
Sónia Ferreira
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
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
  • メタデータ提供者
  • 最初のデータ採集者
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
  • メタデータ提供者
  • 最初のデータ採集者
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
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
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

地理的範囲

Continental Portugal.

座標(緯度経度) 南 西 [41.631, -8.413], 北 東 [41.909, -6.274]

生物分類学的範囲

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

時間的範囲

開始日 / 終了日 2015-06-18 / 2017-07-21

プロジェクトデータ

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.

タイトル The InBIO Barcoding Initiative Database: Ypsolopha rhinolophi sp. nov. (Lepidoptera: Ypsolophidae), a new species from Portugal and France unveiled by bats
識別子 InBIO Barcoding Initiative
ファンデイング 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.
研究の意図、目的、背景など(デザイン) 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.

プロジェクトに携わる要員:

Martin Corley
Sónia Ferreira
Vanessa Alves Mata
Pedro Sousa
  • 最初のデータ採集者

収集方法

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/).

コレクションデータ

コレクション名 InBIO Barcoding Initiative
コレクション識別子 4ec2b246-f5fa-4b90-9a8d-ddafc2a3f970
Parent Collection Identifier CIBIO (Research Center in Biodiversity and Genetic Resources) Portugal
標本保存方法 Alcohol
Curatorialユニット 範囲 1 ~ 8 Voucher tube ,  範囲 1 ~ 8 DNA extractions

書誌情報の引用

  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.

追加のメタデータ

目的 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.
代替識別子 9813ea12-db95-4695-8c7a-b001e2ac5a2c
http://ipt.gbif.pt/ipt/resource?r=ibi_lepidoptera_ypsolopha_rhinolophi