Predição, in silico, da regulação pós-transcricional de genes envolvidos no sistema ubiquitina-proteassoma via microRNAs em Carica papaya na meleira
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Data
2018-02-20
Autores
Carminati, Lara Silva
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Universidade Federal do Espírito Santo
Resumo
The cultivation of papaya trees is highly susceptible to diseases, viruses above all, which can cause a significant decrease on crop productiveness. One of the diseases which most affects national production is the Papaya Sticky Disease (PSD) – or “meleira” – a disease associated with mixed infection by a viral complex composed of the papaya meleira virus (PMeV) and the papaya meleira virus 2 (PMeV2), which is characterized by a spontaneous exudation of fluid and aqueous latex from the papaya fruit and leaves. These symptoms can only be observed after the flowering, therefore infected plants can remain unnoticed on plantations for a long time, acting as inoculum sources. Studies on PMeV-infected C. papaya plants have already revealed the modulation of proteins related to the Ubiquitin-Proteasome System 26S (UPS), indicating this pathway’s involvement in this pathosystem. Alterations in the C. papaya’s miRNA expression have also been observed during PSD, including modulations of microRNA which long for UPS’ genes. The present work, through in silico analysis, has had as purpose to evaluate the modulation of UPS in Carica papaya in response to the PMeV viral complex through the assessment of transcriptomics and proteomics databases collected from infected plants in different growth phases. Moreover, there were predicted microRNA targets that were genes code for UPS, with emphasis on those genes modulated during the sticky disease. There were identified, in silico, 1.074 transcripts and 80 proteins in C. papaya that were similar to UPS proteins from other plant species. In addition, 42 C. papaya UPS genes that were modulated during the infection were reported. There have also been identified 106 miRNA that had UPS-related genes as targets, of which 3 families target genes that are responsive to PMeV infection.
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Bioinformatics , Omics , Papaya sticky disease , Bioinformática , Omicas , miRNAs , Meleira do mamoeiro