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Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing

The pine processionary moth Thaumetopoea pityocampa is a Lepidopteran pest species occurring in the Western Mediterranean. It causes heavy pine defoliations and it is a public and animal health concern because of its urticating caterpillars. Very little is known about the viruses associated to this...

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Autores principales: Dorkeld, Franck, Streiff, Réjane, Sauné, Laure, Castel, Guillaume, Ogliastro, Mylène, Kerdelhué, Carole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193168/
https://www.ncbi.nlm.nih.gov/pubmed/37213549
http://dx.doi.org/10.1016/j.dib.2023.109180
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author Dorkeld, Franck
Streiff, Réjane
Sauné, Laure
Castel, Guillaume
Ogliastro, Mylène
Kerdelhué, Carole
author_facet Dorkeld, Franck
Streiff, Réjane
Sauné, Laure
Castel, Guillaume
Ogliastro, Mylène
Kerdelhué, Carole
author_sort Dorkeld, Franck
collection PubMed
description The pine processionary moth Thaumetopoea pityocampa is a Lepidopteran pest species occurring in the Western Mediterranean. It causes heavy pine defoliations and it is a public and animal health concern because of its urticating caterpillars. Very little is known about the viruses associated to this species, as only two viruses were described so far. We here present a dataset corresponding to 34 viral transcripts, among which 27 could be confidently assigned to 9 RNA and DNA viral families (Iflaviridae, Reoviridae, Partitiviridae, Permutotetraviridae, Flaviviridae, Rhabdoviridae, Parvoviridae, Baculoviridae and PolyDNAviridae). These transcripts were identified from an original transcriptome assembled for the insect host, using both blast search and phylogenetic approaches. The data were acquired from 2 populations in Portugal and 2 populations in Italy. The transcripts were de novo assembled and used to identify viral sequences by homology searches. We also provide information about the populations and life stages in which each virus was identified. The data produced will allow to enrich the virus taxonomy in Lepidopteran hosts, and to develop PCR-based diagnostic tools to screen colonies across the range and determine the distribution and prevalence of the identified viral species.
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spelling pubmed-101931682023-05-19 Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing Dorkeld, Franck Streiff, Réjane Sauné, Laure Castel, Guillaume Ogliastro, Mylène Kerdelhué, Carole Data Brief Data Article The pine processionary moth Thaumetopoea pityocampa is a Lepidopteran pest species occurring in the Western Mediterranean. It causes heavy pine defoliations and it is a public and animal health concern because of its urticating caterpillars. Very little is known about the viruses associated to this species, as only two viruses were described so far. We here present a dataset corresponding to 34 viral transcripts, among which 27 could be confidently assigned to 9 RNA and DNA viral families (Iflaviridae, Reoviridae, Partitiviridae, Permutotetraviridae, Flaviviridae, Rhabdoviridae, Parvoviridae, Baculoviridae and PolyDNAviridae). These transcripts were identified from an original transcriptome assembled for the insect host, using both blast search and phylogenetic approaches. The data were acquired from 2 populations in Portugal and 2 populations in Italy. The transcripts were de novo assembled and used to identify viral sequences by homology searches. We also provide information about the populations and life stages in which each virus was identified. The data produced will allow to enrich the virus taxonomy in Lepidopteran hosts, and to develop PCR-based diagnostic tools to screen colonies across the range and determine the distribution and prevalence of the identified viral species. Elsevier 2023-04-25 /pmc/articles/PMC10193168/ /pubmed/37213549 http://dx.doi.org/10.1016/j.dib.2023.109180 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Dorkeld, Franck
Streiff, Réjane
Sauné, Laure
Castel, Guillaume
Ogliastro, Mylène
Kerdelhué, Carole
Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing
title Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing
title_full Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing
title_fullStr Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing
title_full_unstemmed Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing
title_short Sequence, assembly and count datasets of viruses associated to the pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller) (Lepidoptera, Notodontidae) identified from transcriptomic high-throughput sequencing
title_sort sequence, assembly and count datasets of viruses associated to the pine processionary moth thaumetopoea pityocampa (denis & schiffermüller) (lepidoptera, notodontidae) identified from transcriptomic high-throughput sequencing
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193168/
https://www.ncbi.nlm.nih.gov/pubmed/37213549
http://dx.doi.org/10.1016/j.dib.2023.109180
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