X-Meeting presentations

USING TEMPORAL RNA-DEEP SEQUENCING TO IDENTIFY CANDIDATE EFFECTOR PROTEINS

Published in 21/11/2024 - ISBN: 978-65-272-0843-3

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Paper Title
USING TEMPORAL RNA-DEEP SEQUENCING TO IDENTIFY CANDIDATE EFFECTOR PROTEINS
Authors
  • Katiucia ticila De souza De Nascimento Wense
  • Ariana Silva Santos
  • Irma Yuliana Mora Ocampo
  • Ícaro Santos Lopes
  • Taís Araújo Santos
  • Hermanna Vanesca Viana de Oliveira
  • Larissa Karen Silva Oliveira
  • Joise Hander Mares
  • Drª. Maria Zugaib Cavalcanti Melo
  • Karina Peres Gramacho
  • Daniel Oliveira Jordão do Amaral
  • Jonathan Javier Mucherino Muñoz
  • Enrique Arévalo Gardini
  • Eric Roberto Guimarães Rocha Aguiar
  • Carlos Priminho Pirovani
Modality
Poster
Subject area
RNA and transcriptomics
Publishing Date
21/11/2024
Country of Publishing
Brazil | Brasil
Language of Publishing
Inglês
Paper Page
https://www.even3.com.br/anais/xmeeting-2024/831378-using-temporal-rna-deep-sequencing-to-identify-candidate-effector-proteins
ISBN
978-65-272-0843-3
Keywords
Transcriptome, RNA-seq, Differential expression, Theobroma cacao, Phytopathogenic fungi, Pathogen-host interaction
Summary
Moniliophthora roreri is the hemibiotrophic fungus involved in frosty pod rot, a severe disease that affects the fruit of the cocoa tree. This disease affects cocoa production by up to 90% and is spreading throughout Central and South America, having been identified for the first time in Brazil this decade. The presence of this pathogen in the country causes concern, since Brazil is the sixth largest cocoa producer in the world, with an annual production that exceeds 200,000 tons and generates around US$340 million in exports. A few decades ago, another pathogen of the same genus, M. perniciosa, devastated cocoa production in northeastern Brazil. Despite the risk of profound negative impacts, little is known to date about the molecular mechanisms related to its development during infection and disease progression, as well as a detailed description of the pathogen-host interaction. Based on this, this study aims to investigate the development of M. roreri during the cocoa infection process by evaluating the transcriptome of spores inoculated in a medium with cocoa fruit extract and mycelium collected from susceptible plants in 5 different germination stages: 0h, 8h, 16h, 48h and after formation of mycelium. A total of 85,446,030 reads were produced and mapped against the M. roreri reference genome. The RNA-seq libraries were annotated based on the reference transcriptome, quantified and then subjected to differential expression analysis using the DESeq and EdgeR tools. Only transcripts with p-value <0.05 in both tools were considered as differentially expressed between two libraries. Under the different conditions, an average of 15,480 transcripts showed significant variation in expression. Of these, 871 are genes differentially expressed in spores at the different inoculation times and mycelium. A total of 147 were exclusive to spores, at the different incubation times, and 325 to mycelium. Differentially expressed transcripts are involved in various biological processes and molecular functions, including oxidoreductase, proteolysis, transcriptional regulation, binding processes and stress response. The transcripts were also analyzed for their potential to encode secreted and effector proteins, based on the presence of a signal peptide, adequate subcellular localization and the absence of a transmembrane domain and GPI anchor using SignalP 6.0, TargetP 2.0, DeepTMHMM and FT-GPI, respectively, and also EffectorP 3.0 to detect putative effectors. It was possible to identify 60 transcripts in this group, associated with plant cellular breakdown, oxidative stress and carbohydrate metabolism. Finally, it was possible to observe candidates for marker genes that show up to a 50-fold difference in expression between spores and mycelium, and are related to growth, pathogenicity, kinase and oxidoreductase activity. These results broaden the understanding of the molecular events that occur during frosty pod rot in the dynamics of the pathogen with the host and present a set of secreted proteins that lack functional characterization. This information should contribute to the development of control strategies for this disease, which has a major socio-economic impact.
Title of the Event
20º Congresso Brasileiro de Bioinformática: X-Meeting 2024
City of the Event
Salvador
Title of the Proceedings of the event
X-Meeting presentations
Name of the Publisher
Even3
Means of Dissemination
Meio Digital

How to cite

WENSE, Katiucia ticila De souza De Nascimento et al.. USING TEMPORAL RNA-DEEP SEQUENCING TO IDENTIFY CANDIDATE EFFECTOR PROTEINS.. In: X-Meeting presentations. Anais...Salvador(BA) Hotel Deville Prime, 2024. Available in: https//www.even3.com.br/anais/xmeeting-2024/831378-USING-TEMPORAL-RNA-DEEP-SEQUENCING-TO-IDENTIFY-CANDIDATE-EFFECTOR-PROTEINS. Access in: 06/06/2025

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