Use este identificador para citar ou linkar para este item: http://www.repositorio.ufop.br/jspui/handle/123456789/13989
Título: Proteome analysis of walnut bacterial blight disease.
Autor(es): Sagawa, Cintia Helena Duarte
Assis, Renata de Almeida Barbosa
Zaini, Paulo Adriano
Wilmarth, Phillip A.
Phinney, Brett S.
Moreira, Leandro Marcio
Dandekar, Abhaya M.
Palavras-chave: Xanthomonas
Fruit
Disease susceptibility
Adaptation
Virulence
Data do documento: 2020
Referência: SAGAWA, C. H. D. et al. Proteome analysis of walnut bacterial blight disease. International Journal of Molecular Sciences, v. 21, p. 7453, 2020. Disponível em: <https://www.mdpi.com/1422-0067/21/20/7453>. Acesso em: 10 jun. 2021.
Resumo: The interaction between the plant host, walnut (Juglans regia; Jr), and a deadly pathogen (Xanthomonas arboricola pv. juglandis 417; Xaj) can lead to walnut bacterial blight (WB), which depletes walnut productivity by degrading the nut quality. Here, we dissect this pathosystem using tandem mass tag quantitative proteomics. Walnut hull tissues inoculated with Xaj were compared to mock-inoculated tissues, and 3972 proteins were identified, of which 3296 are from Jr and 676 from Xaj. Proteins with differential abundance include oxidoreductases, proteases, and enzymes involved in energy metabolism and amino acid interconversion pathways. Defense responses and plant hormone biosynthesis were also increased. Xaj proteins detected in infected tissues demonstrate its ability to adapt to the host microenvironment, limiting iron availability, coping with copper toxicity, and maintaining energy and intermediary metabolism. Secreted proteases and extracellular secretion apparatus such as type IV pilus for twitching motility and type III secretion effectors indicate putative factors recognized by the host. Taken together, these results suggest intense degradation processes, oxidative stress, and general arrest of the biosynthetic metabolism in infected nuts. Our results provide insights into molecular mechanisms and highlight potential molecular tools for early detection and disease control strategies.
URI: http://www.repositorio.ufop.br/jspui/handle/123456789/13989
DOI: https://doi.org/10.3390/ijms21207453
ISSN:  1422-0067
Licença: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Source: The article PDF.
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