English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In silico identification and transcriptional profile of effector candidate genes from Austropuccinia psidii Austropuccinia psidii (sin Puccinia psidii) is a biotrophic fungus that infects several genera of Myrtaceae. It is a rust (Puccinialles) native from South America that displays a broad distribution after have shown a quick geographic dispersion, being currently present even in Australia, which is Myrtaceae’s diversity center. This pathogen has alarmed the scientific community due to its wide dispersion ability and because of considerable economic losses occurring in crops of commercial interest, especially eucalyptus cultures. Despite its importance, studies related to A. psidii-Eucalyptus pathosystem are still incipient and the understanding of the molecular basis involved in the plant-pathogen interaction is essential to develop effective and durable control mechanisms. Currently, the search for effector candidates has increased considerably since they are molecules that alter the host physiology, suppressing or activating the defense mechanisms. In this study, we aimed to identify in silico effectors candidate genes and also to validate them by expression analysis (RT-qPCR). To predict the effector candidate genes, we used the partial genome of A. psidii and a specific pipeline based on several parameters, such as small size, presence of signal peptide, absence of transmembrane domain and anchorage surface. A total of 2,886 candidates were identified, from which 13% are similar to Puccinialles. The most important categories of predicted subcellular localization were apoplast (87,3%), chloroplast (7%) e nucleus (4,1%). Eight candidates were selected for expression analysis after mining in RNA-seq data. The in vitro assays were carried out with uredospores from two distinct populations of A. psidii: one from eucalyptus (MF-1) and other from S. jambos (GM-J1); the samples were collected 6, 12 and 24 hours after inoculation (h.a.i). The expression profile of the candidates was distinct among the times investigated. The results showed that two candidates had high expression values in all times evaluated, while four were more expressed at 6 and 12 h.a.i. These times correspond to the germination and pre-penetration phases, corroborating with the prediction of these four candidates as apoplastics. A differential expression profile was found between the two pathogen populations, suggesting a probable modulation by the origin host in the expression of effectors candidates, what has not been extensively investigated and discussed in the literature on the topic. Although this study has been performed in vitro, it was possible to select potential candidates for further investigations, including in plant validation and functional characterization. The data presented here are relevant considering the scarcity of biological information about this pathosystem, besides providing an initial insight on how these effectors act in the plant-pathogen interaction.

Identificação <i>in silico</i> e perfil transcricional de genes candidatos a efetores de <i>Austropuccinia psidii</i>