ArticleViruses2015
In search of pathogens: transcriptome-based identification of viral sequences from the pine processionary moth (Thaumetopoea pityocampa).
Article in Viruses, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 22 citations in OpenAlex.
- Diversity of RNA Viruses in Declining Mediterranean Forests.Microorganisms · 2026Article
- Sequence, assembly and count datasets of viruses associated to the pine processionary mothData in brief · 2023Article
- Diversity of RNA viruses in agricultural insects.Computational and structural biotechnology journal · 2023Review
- Viruses of the Fall ArmywormViruses · 2021Review
- Iflavirus Covert Infection Increases Susceptibility to Nucleopolyhedrovirus Disease inViruses · 2020Article
- Identification of new viral variants specific to the honey bee mite Varroa destructor.Experimental & applied acarology · 2019Article
- Iflavirus increases its infectivity and physical stability in association with baculovirus.PeerJ · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.