Identification of Late Blight Resistance-Related Metabolites and Genes in Potato through Nontargeted Metabolomics

Doddaraju, Pushpa; Yogendra, Kalenahalli N.; Gunnaiah, Raghavendra; Kushalappa, Ajjamada C.; Murphy, A. M.

doi:10.1007/s11105-013-0665-1

Cited by 57 publications

(55 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Figure 2 reports the structures of the observed metabolites. All ions were fully assigned by DESI-MS/MS and a literature search [6,7]. The MS/MS experiments were performed directly on the imprinted material; the MS/MS spectra are reported in the Supplementary Information.…”

Section: Resultsmentioning

confidence: 99%

“…oryzae, and Phythophthora parasitica, respectively. Investigations of the metabolomic changes of potato after infection with Phytophthora infestans were carried out by liquid chromatography mass spectrometry (LC-MS) [6].Fourier transform ion cyclotron resonance/mass spectrometry (FT-ICR/MS) was applied to the study of interactions in the potato sprout Rhizoctonia solani pathosystem and the fluctuations in the global metabolome of sprouts [7]. These analytical approaches may be laborious and time-consuming.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Metabolic Changes in Plant Pathosystems by Imprint Imaging DESI-MS

Tata

Pérez

Hamid

et al. 2014

J. Am. Soc. Mass Spectrom.

View full text Add to dashboard Cite

Abstract. The response of plants to microbial pathogens is based on the production of secondary metabolites. The complexity of plant-pathogen interactions makes their understanding a challenging task for metabolomic studies requiring powerful analytical approaches. In this paper, the ability of ambient mass spectrometry to provide a snapshot of plant metabolic response to pathogen invasion was tested. The fluctuations of glycoalkaloids present in sprouted potatoes infected by the phytopathogen Pythium ultimum were monitored by imprint imaging desorption electrospray ionization mass spectrometry (DESI-MS). After 8 d from the inoculation, a decrease of the relative abundance of potato glycoalkaloids α-solanine (m/z 706) and α-chaconine (m/z 722) was observed, whereas the relative intensity of solanidine (m/z 398), solasodenone (m/z 412), solanaviol (m/z 430), solasodiene (m/z 396), solaspiralidine (m/z 428), γ-solanine/γ-chaconine (m/z 560) , β-solanine (m/z 706), and β-chaconine (m/z 722) increased. The progression of the disease, expressed by the development of brown necrotic lesions on the potato, led to the further decrease of all the glycoalkaloid metabolites. Therefore, the applicability of imprint imaging DESI-MS in studying the plant metabolic changes in a simple pathosystem was demonstrated with minimal sample preparation.

show abstract

Section: Resultsmentioning

confidence: 99%

mentioning

confidence: 99%

Analysis of Metabolic Changes in Plant Pathosystems by Imprint Imaging DESI-MS

Tata

Pérez

Hamid

et al. 2014

J. Am. Soc. Mass Spectrom.

View full text Add to dashboard Cite

show abstract

“…The resistance related metabolites (RRM) may be antimicrobial, such as phytoanticipins and phytoalexins, or may form complex conjugates that are deposited to reinforce cell walls and suppress pathogen progress (Boller and Felix, 2009;Nawrot et al, 2014;Yogendra et al, 2014). Polymorphisms in introns, exons, and promoter regions, especially in the domain sequence, of these hierarchy of R genes determine the functionality of the proteins/enzymes produced, and thus the amount of proteins (RRP) and metabolites (RRM) biosynthesized (Eudes et al, 2014;Krattinger et al, 2009;Pushpa et al, 2014;Yogendra et al, 2015b;Yogendra et al, 2014). Thus, the amount of RRP or RRM biosynthesized by an R gene is significantly controlled by a hierarchy of regulatory R genes, especially the TFs, activated following the perception of elicitors/effectors.…”

Section: E Resistance-related Protein (Rrp) and Resistancerelated Mementioning

confidence: 99%

“…Kaempferol and quercetin glycosides: Flavonol glycosides form a hard, crystalline structure as a physical barrier against pathogens. Kaempferol, quercetins, and their glycosylated forms prevent the spread of F. graminearum in barley (Bollina et al, 2010;Kumaraswamy et al, 2012) and P. infestans in potato (Fellenberg and Vogt, 2015;Pushpa et al, 2014;Yogendra et al, 2014). Pectin-alkaloid: Pectins are primary cell wall components and following pathogen invasion they conjugate with alkaloids and deposit to enforce secondary cell walls (Didi et al, 2015).…”

Section: B Resistance-related Metabolites (Rrm) and The Mechanisms Omentioning

confidence: 99%

Plant Innate Immune Response: Qualitative and Quantitative Resistance

Kushalappa

Yogendra

Karre

2016

Critical Reviews in Plant Sciences

Self Cite

158

103

View full text Add to dashboard Cite

Plant diseases, caused by microbes, threaten world food, feed, and bioproduct security. Plant resistance has not been effectively deployed to improve resistance in plants for lack of understanding of biochemical mechanisms and genetic bedrock of resistance. With the advent of genome sequencing, the forward and reverse genetic approaches have enabled deciphering the riddle of resistance. Invading pathogens produce elicitors and effectors that are recognized by the host membrane-localized receptors, which in turn induce a cascade of downstream regulatory and resistance metabolite and protein biosynthetic genes (R) to produce resistance metabolites and proteins, which reduce pathogen advancement through their antimicrobial and cell wall enforcement properties. The resistance in plants to pathogen attack is expressed as reduced susceptibility, ranging from high susceptibility to hypersensitive response, the shades of gray. The hypersensitive response or cell death is considered as qualitative resistance, while the remainder of the reduced susceptibility is considered as quantitative resistance. The resistance is due to additive effects of several resistance metabolites and proteins, which are produced through a network of several hierarchies of plant R genes. Plants recognize the pathogen elicitors or receptors and then induce downstream genes to eventually produce resistance metabolites and proteins that suppress the pathogen advancement in plant. These resistance genes (R), against qualitative and quantitative resistance, can be identified in germplasm collections and replaced in commercial cultivars, if nonfunctional, based on genome editing to improve plant resistance.

show abstract

“…This will help in predicting the genes involved in particular processes (Saito and Matsuda, 2010). The accumulation of the resistance-related metabolites, hydroxycinnamic acid amides (HCAA), from the phenylpropanoid pathway observed in potato, was induced by Phytophtora infestans infection which can lead to the abundance of genes that catalyse the biosynthesis of the metabolites (Pushpa et al, 2014).…”

Section: Multivariate Statistical Analysismentioning

confidence: 99%

METABOLOMICS UNRAVEL DIFFERENCES BETWEEN CAMEROON Dura AND DELI Dura OIL PALM (Elaeis guineensis Jacq.) GENETIC BACKGROUNDS AGAINST BASAL STEM ROT

Nurazah¹,

Idris²,

Kushairi³

et al. 2017

JOPR

View full text Add to dashboard Cite

Metabolomics is emerging as a powerful tool for screening of metabolites in both phenotyping and diagnostic analyses in plants. Metabolomics coupled with multivariate statistical analysis has provided a fast and unbiased comparative investigation of the metabolite composition in oil palm root. Basal stem rot (BSR) caused by the white rot fungus, Ganoderma boninense is a common (MPOB, 2016). However, the palm is susceptible to various pests and diseases, the most serious in South-east Asia being basal stem rot (BSR) by the white rot fungus, Ganoderma boninense (Cooper et al., 2011;Paterson et al., 2009; Idris et al., 2004a). Integrated control using chemical and biological means has been tried against the disease (Sundram, 2013;Sundram et al., 2008;Susanto et al., 2005; Idris et al., 2004b) but with at most limited success. Resistance to BSR is only partial (Idris et al., 2004a) and the disease management is complicated by the presence of different species of Ganoderma with various degrees of aggressiveness with the dominant species varying in different localities (Wong et al., 2012).The disease triangle -the concept of a disease caused by the trinity of a pathogen attacking a DOI: https://doi.org/10.21894/jopr.2017DOI: https://doi.org/10.21894/jopr. .2902 227

show abstract

Identification of Late Blight Resistance-Related Metabolites and Genes in Potato through Nontargeted Metabolomics

Cited by 57 publications

References 59 publications

Analysis of Metabolic Changes in Plant Pathosystems by Imprint Imaging DESI-MS

Analysis of Metabolic Changes in Plant Pathosystems by Imprint Imaging DESI-MS

Plant Innate Immune Response: Qualitative and Quantitative Resistance

METABOLOMICS UNRAVEL DIFFERENCES BETWEEN CAMEROON Dura AND DELI Dura OIL PALM (Elaeis guineensis Jacq.) GENETIC BACKGROUNDS AGAINST BASAL STEM ROT

Contact Info

Product

Resources

About