Integrated soybean transcriptomics, metabolomics, and chemical genomics reveal the importance of the phenylpropanoid pathway and antifungal activity in resistance to the broad host range pathogen<i>Sclerotinia sclerotiorum</i>

Ranjan, Ashish; Nm, Westrick; Jain, Sachin; Piotrowski, Jeff S.; Ranjan, Manish; Kessens, Ryan; L, Stiegman; Cr, Grau; Smith, Damon L.; Kabbage, Mehdi

doi:10.1101/363895

Cited by 2 publications

(1 citation statement)

References 120 publications

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“…Gluconasturtiin is a type of glucosinolate compound associated with the biotic resistance responses of Brassica species [ 220 ]. An example of using multi-omics supplemented with functional studies to discover key resistance pathways involved the soybean– S. sclerotiorum pathosystem, where the induction of JA signalling, elevated ROS control and reprogramming of the phenylpropanoid pathway have been suggested to be an important resistance mechanism [ 221 ]. Many more novel plant–pathogen interactions in the Brassica pathosystems could be discovered through the application of multi-omics technologies ( Figure 2 ).…”

Section: Application Of Metabolomics and Systems Biology In The mentioning

confidence: 99%

Understanding Host–Pathogen Interactions in Brassica napus in the Omics Era

Neik

Amas

Barbetti

et al. 2020

Plants

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Brassica napus (canola/oilseed rape/rapeseed) is an economically important crop, mostly found in temperate and sub-tropical regions, that is cultivated widely for its edible oil. Major diseases of Brassica crops such as Blackleg, Clubroot, Sclerotinia Stem Rot, Downy Mildew, Alternaria Leaf Spot and White Rust have caused significant yield and economic losses in rapeseed-producing countries worldwide, exacerbated by global climate change, and, if not remedied effectively, will threaten global food security. To gain further insights into the host–pathogen interactions in relation to Brassica diseases, it is critical that we review current knowledge in this area and discuss how omics technologies can offer promising results and help to push boundaries in our understanding of the resistance mechanisms. Omics technologies, such as genomics, proteomics, transcriptomics and metabolomics approaches, allow us to understand the host and pathogen, as well as the interaction between the two species at a deeper level. With these integrated data in multi-omics and systems biology, we are able to breed high-quality disease-resistant Brassica crops in a more holistic, targeted and accurate way.

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Section: Application Of Metabolomics and Systems Biology In The mentioning

confidence: 99%

Understanding Host–Pathogen Interactions in Brassica napus in the Omics Era

Neik

Amas

Barbetti

et al. 2020

Plants

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Hemibiotrophic fungal pathogen induces systemic susceptibility and systemic shifts in wheat metabolome and microbiome composition

Seybold

Demetrowitsch

Hassani

et al. 2019

Preprint

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19Yield losses caused by fungal pathogens represent a major threat to global food production. One of 20 the most devastating fungal wheat pathogens is Zymoseptoria tritici. Despite the importance of this 21 fungus and wheat as main staple food crop the underlying mechanisms of plant-pathogen 22 the extent to which Z. tritici infection influences colonization of the plant by other microbes. If the 58 fungus actively suppresses immune responses in susceptible wheat cultivars, this could influence the 59 ability of other nonadapted microorganisms to colonize the plant. To test our hypotheses, we 60 conducted coinfection experiments of Z. tritici with adapted and nonadapted Pseudomonas syringae 61 bacteria. Here, we provide evidence for active immune suppression plant tissues both local and distant 62 to the infection, a new effect that we termed "systemic induced susceptibility". We applied a 63 comparative Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) metabolomics 64 approach to describe the observed differences on the wheat metabolome. In addition, we analyzed 65 the bacterial microbiome to generalize the observations made during the coinfections. 66 67 68 Spring or Obelisk suggesting that only particular metabolites are targeted by the fungus (Fig. S7). 132We then set out to identify specific metabolites that accumulate differently in local and adjacent 133 tissues to fungal infection of the 2 cultivars. We assessed the fold change of metabolite accumulation 134 in 3 different comparisons. 1) In the cultivar comparison, an Obelisk sample was compared to a Chinese 135 Spring sample (same treatment, same leaf position). 2) In the position comparison, we compared local 136 samples to those from adjacent tissue (same treatment, same cultivar). 3) In the treatment 137 comparison, samples infected with Z. tritici were compared to mock-treated samples (same cultivar, 138

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Integrated soybean transcriptomics, metabolomics, and chemical genomics reveal the importance of the phenylpropanoid pathway and antifungal activity in resistance to the broad host range pathogenSclerotinia sclerotiorum

Cited by 2 publications

References 120 publications

Understanding Host–Pathogen Interactions in Brassica napus in the Omics Era

Understanding Host–Pathogen Interactions in Brassica napus in the Omics Era

Hemibiotrophic fungal pathogen induces systemic susceptibility and systemic shifts in wheat metabolome and microbiome composition

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