2020
DOI: 10.1007/s00299-020-02536-w
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Time-series expression profiling of sugarcane leaves infected with Puccinia kuehnii reveals an ineffective defense system leading to susceptibility

Abstract: Puccinia kuehnii is an obligate biotrophic fungus that infects sugarcane leaves causing a disease called orange rust. It spread out to other countries resulting in reduction of crop yield since its first outbreak in Australia. One of the knowledge gaps of that pathosystem is to understand the molecular mechanisms altered in susceptible plants by the stress induced by P. kuehnii. Here we investigated changes in temporal expression of transcripts in pathways associated with the immune system. To achieve this pur… Show more

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Cited by 14 publications
(5 citation statements)
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References 129 publications
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“…The statistical and fragmentation analyses resulted in 16 selected metabolites, mostly predicted as secondary metabolites derived from the phenylpropanoid pathway (Table 1). The identification of this biosynthetic pathway was consistent with this pathosystem, since A. psidii is a biotrophic fungus which can induce the biosynthesis of phenylpropanoids in plants as a metabolic response (Doehlemann et al, 2008;Hossain et al, 2018;Correr et al, 2020). Five metabolites were considered as "unknown" because of the low MS intensity required for fragmentation or no correspondence in MS/MS metabolites of HMDB.…”
Section: Analysis Of Metabolomic Profiles For Metabolites Selectionmentioning
confidence: 53%
“…The statistical and fragmentation analyses resulted in 16 selected metabolites, mostly predicted as secondary metabolites derived from the phenylpropanoid pathway (Table 1). The identification of this biosynthetic pathway was consistent with this pathosystem, since A. psidii is a biotrophic fungus which can induce the biosynthesis of phenylpropanoids in plants as a metabolic response (Doehlemann et al, 2008;Hossain et al, 2018;Correr et al, 2020). Five metabolites were considered as "unknown" because of the low MS intensity required for fragmentation or no correspondence in MS/MS metabolites of HMDB.…”
Section: Analysis Of Metabolomic Profiles For Metabolites Selectionmentioning
confidence: 53%
“…In addition to the mapping of DEGs in the biotic stress pathway, the analysis of the plant's general metabolism indicated the overexpression of genes involved in carbohydrate metabolism and nucleotide synthesis. This overexpression associated with the lack of DEGs involved in the other metabolic processes, may be a strategy of the plant to maintain the minimum energy necessary for its development and ensure that the nutritional needs of the pathogen are not met in the initial phase of the interaction (5 to 20 DAI) 38 . However, at the final time-period (30 to 60 DAI) enrichment of GO terms related to serine-type peptidase activity (GO:0008236) were identified involved in several physiological processes in plants such as hypersensitivity, transduction and differentiation response signal, senescence, degradation and protein processing 39 , 40 .…”
Section: Discussionmentioning
confidence: 99%
“…We use the same steps for quality control as Correr et al (2020a) . The resulting high quality reads were used for de novo assembly using TRINITY v.2.5.1 ( Grabherr et al, 2011 ) considering the parameters as previously described by Correr et al (2020b) .…”
Section: Methodsmentioning
confidence: 99%