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Viruses 2015, 7(2), 456-479; doi:10.3390/v7020456

In Search of Pathogens: Transcriptome-Based Identification of Viral Sequences from the Pine Processionary Moth (Thaumetopoea pityocampa)

1
Department of Genetics, Universitat de València, Dr Moliner 50, 46100 Burjassot, Spain
2
Department of Biology, Faculty of Sciences, Karadeniz Technical University, 61080 Trabzon, Turkey
3
Instituto de Hortofruticultura Subtropical y Mediterránea "La Mayora" (IHSM-UMA-CSIC), Consejo Superior de Investigaciones Científicas, Estación Experimental "La Mayora", Algarrobo-Costa, 29750 Málaga, Spain
4
Department of Molecular Biology and Genetics, Faculty of Sciences, Karadeniz Technical University, 61080 Trabzon, Turkey
*
Authors to whom correspondence should be addressed.
Academic Editors: John Burand and Madoka Nakai
Received: 29 November 2014 / Revised: 29 December 2014 / Accepted: 13 January 2015 / Published: 23 January 2015
(This article belongs to the Special Issue Insect Viruses and Their Use for Microbial Pest Control)
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Abstract

Thaumetopoea pityocampa (pine processionary moth) is one of the most important pine pests in the forests of Mediterranean countries, Central Europe, the Middle East and North Africa. Apart from causing significant damage to pinewoods, T. pityocampa occurrence is also an issue for public and animal health, as it is responsible for dermatological reactions in humans and animals by contact with its irritating hairs. High throughput sequencing technologies have allowed the fast and cost-effective generation of genetic information of interest to understand different biological aspects of non-model organisms as well as the identification of potential pathogens. Using these technologies, we have obtained and characterized the transcriptome of T. pityocampa larvae collected in 12 different geographical locations in Turkey. cDNA libraries for Illumina sequencing were prepared from four larval tissues, head, gut, fat body and integument. By pooling the sequences from Illumina platform with those previously published using the Roche 454-FLX and Sanger methods we generated the largest reference transcriptome of T. pityocampa. In addition, this study has also allowed identification of possible viral pathogens with potential application in future biocontrol strategies. View Full-Text
Keywords: Thaumatopoea pityocampa; pine processionary moth; PPM; transcriptome; iflavirus; cypovirus; rhabdovirus Thaumatopoea pityocampa; pine processionary moth; PPM; transcriptome; iflavirus; cypovirus; rhabdovirus
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Jakubowska, A.K.; Nalcacioglu, R.; Millán-Leiva, A.; Sanz-Carbonell, A.; Muratoglu, H.; Herrero, S.; Demirbag, Z. In Search of Pathogens: Transcriptome-Based Identification of Viral Sequences from the Pine Processionary Moth (Thaumetopoea pityocampa). Viruses 2015, 7, 456-479.

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