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Título: Functional genomics analysis of a phyllospheric Pseudomonas spp with potential for biological control against coffee rust
Autor(es): Sousa, Leandro Pio de
Cipriano, Matheus Aparecido Pereira
Silva, Marcio José da
Patrício, Flávia Rodrigues Alves
Freitas, Sueli dos Santos
Marcelo Falsarella, Carazzolle
Mondego, Jorge Maurício Costa
Data do documento: 22-Set-2022
Resumo: Pseudomonas spp. promotes plant growth and colonizes a wide range of environments. During the annotation of a Coffea arabica ESTs database, we detected a considerable number of contaminant Pseudomonas sequences, specially associated with leaves. The genome of a Pseudomonas isolated from coffee leaves was sequenced to investigate in silico information that could offer insights about bacterial adaptation to coffee phyllosphere. In parallel, several experiments were performed to confirm certain physiological characteristics that could be associated with phyllospheric behavior. Finally, in vivo and in vitro experiments were carried out to verify whether this isolate could serve as a biocontrol agent against coffee rust and how the isolate could act against the infection. The isolate showed several genes that are associated with resistance to environmental stresses, such as genes encoding heat/cold shock proteins, antioxidant enzymes, carbon starvation proteins, proteins that control osmotic balance and biofilm formation. There was an increase of exopolysaccharides synthesis in response to osmotic stress, which may protect cells from dessication on phyllosphere. Metabolic pathways for degradation and incorporation into citrate cycle of phenolic compounds present in coffee were found, and experimentally confirmed. In addition, MN1F was found to be highly tolerant to caffeine. The experiments of biocontrol against coffee leaf rust showed that the isolate can control the progress of the disease, most likely through competition for resources. Genomic analysis and experimental data suggest that there are adaptations of this Pseudomonas to live in association with coffee leaves and to act as a biocontrol agent.
Descrição: Coffee (Coffea arabica L) is one of the most consumed brewed drink in the world, being one of the most valued commodities on the market [1]. The coffee production chain has a great socio-economic impact, moving around US$ 90 billion a year and involving around 500 million people worldwide, including producers, rural workers, traders and coffee producers [2]. Although more than 100 species of the genus Coffea have been described, only Coffea arabica and Coffea canephora are effectively cultivated and commercialized. C. arabica is an autogamous allotetraploid plant, the result of a recent cross between C. canephora, or related species, and C. eugenioides [3]. Such autogamy leads to a narrow genetic basis, aggravated by the fact that most of the C. arabica planted today have only two varieties as base populations, Typica and Bourbon [4]. Because of this narrow genetic basis, C. arabica plantations are quite susceptible to diseases, especially coffee rust.,caused by the biotrophic fungus Hemileia vastatrix [5]. Traditionally, disease control is based on copper-based pesticides, but this practice has been restricted by the new environmental guidelines [6]. Thus, biological control has been a good alternative for the control of coffee rust, especially in organic cultivation [7].
Palavras-chave: Pseudomonas
Phyllosphere
Genomics
Cofee rust
Biocontrol
Cofee
Citação: Sousa, Leandro Pio de; Cipriano, Matheus Aparecido Pereira; Silva, Marcio José da; Patrício, Flávia Rodrigues Alves; Freitas, Sueli dos Santos; Carazzolle, Marcelo Falsarella; Mondego, Jorge Maurício Costa. Functional genomics analysis of a phyllospheric Pseudomonas spp with potential for biological control against coffee rust. BMC Microbiology, London, 22, 222 (2022). https://doi.org/10.1186/s12866-022-02637-4
ISSN: 1471-2180
Número DOI: 10.1186/s12866-022-02637-4
Idioma: en_US
Editora: Nature
Local da Publicação: London
URI: http://repositoriobiologico.com.br//jspui/handle/123456789/1130
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