Detection and discrimination of two fungal diseases of mango (cv. Keitt) fruits based on volatile metabolite profiles using GC/MS

Moalemiyan, M.; Vikram, A.; Kushalappa, Ajjamada C.

doi:10.1016/j.postharvbio.2006.08.020

Cited by 50 publications

(24 citation statements)

References 29 publications

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“…A marked increase of ethanol was observed in inoculated fruit (20 times) as compared with the control. Similar results were reported in carrot root inoculated with Aspergillus niger, Botrytis cinerea and Fusarium avenaceum (Vikram et al, 2004), and in mango fruit inoculated with Colletotrichum gloeosporioides and Lasiodiplodia theobromae (Moalemiyan et al, 2006). The volatiles 3-methyl-1-butanol and 2-isobutylthiazole showed 5.8 and ten times more the abundance with respect to control fruit, suggesting that they were stimulated or induced in response to fungal infection.…”

Section: Discussionsupporting

confidence: 83%

“…Fungi, plants, and fruits produce a variety of volatile metabolites that could act as signals of plant disease (Jansen et al, 2011), or as signaling molecules that play a vital role in the activation of disease resistance mechanisms. Also, could act as antimicrobial agent (Neri et al, 2015), or could serve as markers for the detection of the spoilage pathogens (Vikram et al, 2004;Moalemiyan et al, 2006). In this study, were identified some VMs released from strains of A. alternata growing on PDA plates.…”

Section: Discussionmentioning

confidence: 98%

“…In mangoes, some volatiles such as ethyl boronate, thujol, 1-butanol, ethyl propanoate, and styrene were synthesized in response to infection caused by Colletotrichum gloeosporioides and Lasiodiplodia theobromae. Also, an increase in the abundance of ethyl butanoate, 1-methyl-4-(1-methylethylidene) cyclohexene, ethanol, ethyl acetate, ethyl hexanoate, limonene, and ethyl octanoate were observed (Moalemiyan et al, 2006). In fresh tomato, few studies had been carried out to detect the emission of volatile compounds during fungal infection.…”

Section: Introductionmentioning

confidence: 99%

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Alterations in volatile metabolites profile of fresh tomatoes in response to Alternaria alternata (Fr.) Keissl. 1912 infection

Encinas-Basurto

Valenzuela-Quintanar

Sánchez‐Estrada

et al. 2017

Chilean J. Agric. Res.

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Alternaria alternata (Fr.) Keissl. 1912 is one of the main fungal pathogens that infect tomato (Solanum lycopersicum L.) during cold storage affecting postharvest quality and marketing. During fungal infections, fruits and fungi release specific volatile metabolites (VM) that could alter the fruit aroma, or could mediate resistance response in the fruit, or they also could suggest the possible status of fungal attack. The detection of the VM released during the tomato-Alternaria interaction could contribute to the development of ecofriendly and harmless strategies for its control. In this study, the profile of VM of fresh tomatoes inoculated with A. alternata, were analyzed by solid phase microextraction and gas chromatography-mass spectrometry (SPME-GC-MS) during storage at 15 and 20 °C for 48 h, respectively. Changes in the profile of VM were observed between control and inoculated fruit since the first few hour post-inoculation. Some VM (3-methyl-2-butenal, dimethyl disulfide, 1-butenol, hexanol, 2-methyl-1-butanol acetate, among others) were only detected in inoculated fruit, so they appear to be synthesized by the presence of the pathogen. Also, a marked increase of 3-methyl-1-butanol and 6-methyl-5-hepten-1-one were observed in inoculated fruit, and they were progressive over time particularly at 20 °C. In conclusion, A. alternata induced changes in the profile of volatile metabolites released by tomato fruit. Some of the VM released during tomato-A. alternata interaction, were synthesized or stimulated by the fungal attack. These results contribute to the current knowledge about the profile of VM released during the fruit-pathogen interaction.Key words: Volatile metabolites, fresh tomatoes, Alternaria alternata, cold storage temperatures, SPME-GC-MS. ABSTRACTAlterations in volatile metabolites profile of fresh tomatoes in response to Alternaria alternata (Fr.) Keissl. 1912 infection

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Alterations in volatile metabolites profile of fresh tomatoes in response to Alternaria alternata (Fr.) Keissl. 1912 infection

Encinas-Basurto

Valenzuela-Quintanar

Sánchez‐Estrada

et al. 2017

Chilean J. Agric. Res.

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“…These ecometabolomic studies show not only the metabolites induced in plants by fungal infection Muth et al 2009;Abdel-Farid et al 2009;Lima et al 2010), but also shows that the fungus can use plant photosynthate that thereafter causes hyphal growth, altogether suggesting that the fungus has developed a common metabolic re-program strategy in the plant host (Parker et al 2009). Another interesting finding reported by four different studies is that fungal infection induces the emission of new volatile organic compounds (VOC) with a composition that varies depending on the species of infecting fungus Vikram et al 2004;Lui et al 2005;Moalemiyan et al 2007) ( Table 2). VOC has been shown to have direct and indirect roles in protecting plants against herbivory Peñuelas and Llusia 2004), as well as in contributing to the plant's defense strategies against thermal damage (Copolovici et al 2005;Peñuelas et al 2005a).…”

Section: Plant-fungusmentioning

confidence: 99%

Ecological metabolomics: overview of current developments and future challenges

2011

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Ecometabolomics, which aims to analyze the metabolome, the total number of metabolites and its shifts in response to environmental changes, is gaining importance in ecological studies because of the increasing use of new technical advances, such as modern HNMR spectrometers and GC-MS coupled to bioinformatic advances. We review here the state of the art and the perspectives of ecometabolomics. The studies available demonstrate ecometabolomic techniques have great sensitivity in detecting the phenotypic mechanisms and key molecules underlying organism responses to abiotic environmental changes to biotic interactions. But such studies are still scarce, and in most cases they are limited to the direct effects of a single abiotic factor or of biotic interactions between two trophic levels under controlled conditions. Several exciting challenges remain to be achieved through the use of ecometabolomics in field conditions, involving more than two trophic levels, or combining the effects of abiotic gradients with intra-and inter-specific relationships. The coupling of ecometabolomic studies with genomics, transcriptomics, ecosystem stoichiometry, community biology and biogeochemistry may provide a further step forward in many areas of ecological sciences, including stress responses, species lifestyle, life history variation, population structure, trophic interaction, nutrient cycling, ecological niche and global change.

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“…Over the past number of years metabolomics has emerged as a field of increasing interest to food scientists (Gibney et al 2005;García-Cañas et al 2010), with applications ranging from profiling of plant species (Arbona et al 2009), to discriminating between food spoilage bacteria (Needham et al 2005), to studying the effects of stress and so forth (Roessner-Tunali et al 2003). As a metabolite profiling technique, GC/MS has been used to detect and discriminate fungal diseases in mango (Moalemiyan et al 2007), and to study potatoes (Roessner et al 2000;Dobson et al 2008), pears (Pedreschi et al 2009), tomatoes (Schauer et al 2005) and apples (Vikram et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Evaluation and identification of markers of damage in mushrooms (Agaricus bisporus) postharvest using a GC/MS metabolic profiling approach

O’Gorman¹,

Barry‐Ryan²,

Frias³

2011

Metabolomics

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The aim of this research was to use the gas chromatography-mass spectrometry (GC/MS) profiling method coupled with chemometric tools to profile mechanically damaged and undamaged mushrooms during storage and to identify specific metabolites that may be used as markers of damage. Mushrooms grown under controlled conditions were bruise damaged by vibration to simulate damage during normal transportation. Three damage levels were evaluated; undamaged, damaged for 20 min and damaged for 40 min and two time levels studied; day zero and day one after storage at 48C. Applying this technique over 100 metabolites were identified, quantified and compiled in a library. Random forest classification models were used to predict damage in mushrooms producing models with error rates of [10% using cap and stipe tissue. Fatty acids were found to be the most important group of metabolites for predicting damage in mushrooms. PLS models were also developed producing models with low error rates. With a view to exploring biosynthetic links between metabolites, a pairwise correlation analysis was performed for all polar and non-polar metabolites. The appearance of high correlation between linoleic acid and pentadecanoic acid in the non-polar phase of damaged mushrooms indicated the switching on of a metabolic pathway when a mushroom is damaged.

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Detection and discrimination of two fungal diseases of mango (cv. Keitt) fruits based on volatile metabolite profiles using GC/MS

Cited by 50 publications

References 29 publications

Alterations in volatile metabolites profile of fresh tomatoes in response to Alternaria alternata (Fr.) Keissl. 1912 infection

Alterations in volatile metabolites profile of fresh tomatoes in response to Alternaria alternata (Fr.) Keissl. 1912 infection

Ecological metabolomics: overview of current developments and future challenges

Evaluation and identification of markers of damage in mushrooms (Agaricus bisporus) postharvest using a GC/MS metabolic profiling approach

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