Volatile Metabolite Profiling for the Discrimination of Onion Bulbs Infected by Erwinia carotovora ssp. carotovora, Fusarium oxysporum and Botrytis allii

Prithiviraj, Balakrishnan; Vikram, A.; Kushalappa, Ajjamada C.; Yaylayan, Varoujan A.

doi:10.1023/b:ejpp.0000021058.81491.f8

Cited by 86 publications

(57 citation statements)

References 13 publications

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“…However, it should be noted that dimethyl sulfide is not unique to M. truncatula; several plant species produce dimethyl sulfide (Duke 1992). Some of these plants are nonlegumes, such as onion (Allium cepa) (Prithiviraj et al 2004). Above ground, it is known that insects respond to not only one component of a plant's volatile ''bouquet'', but also to a specific blend of plant volatiles (Dicke et al 1990b;De Moraes et al 2001;Horiuchi et al 2003).…”

Section: Discussionmentioning

confidence: 99%

Soil nematodes mediate positive interactions between legume plants and rhizobium bacteria

Horiuchi

Prithiviraj

Bais

et al. 2005

Planta

107

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Symbiosis between legume species and rhizobia results in the sequestration of atmospheric nitrogen into ammonium, and the early mechanisms involved in this symbiosis have become a model for plant-microbe interactions and thus highly amenable for agricultural applications. The working model for this interaction states that the symbiosis is the outcome of a chemical/molecular dialogue initiated by flavonoids produced by the roots of legumes and released into the soil as exudates, which specifically induce the synthesis of nodulation factors in rhizobia that initiate the nodulation process. Here, we argue that other organisms, such as the soil nematode Caenorhabditis elegans, also mediate the interaction between roots and rhizobia in a positive way, leading to nodulation. We report that C. elegans transfers the rhizobium species Sinorhizobium meliloti to the roots of the legume Medicago truncatula in response to plant-released volatiles that attract the nematode. These findings reveal a biologically-relevant and largely unknown interaction in the rhizosphere that is multitrophic and may control the initiation of the symbiosis.

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Section: Discussionmentioning

confidence: 99%

Soil nematodes mediate positive interactions between legume plants and rhizobium bacteria

Horiuchi

Prithiviraj

Bais

et al. 2005

Planta

107

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“…The volatile metabolites of onions are usually increased due to the infection of various pathogens such as Erwinia carotovora ssp. carotovora, Fusarium oxysporum and Botrytis allii [9]. These differences, however, were not induced by the physical wounds made by the toothpick, because identical physical wounds were made on control onion samples.…”

Section: E-nose Smellprint and Pca Score Plotmentioning

confidence: 89%

“…It is shown that the performance of the 32-sensor and 10-sensor schemes were comparable (67% vs. 69%), however, the six-sensor scheme performed significantly better than its counterparts with 85% classification accuracy. Combined data 31, 5,23,6,28,26,29,9,20,18 It is interesting to note that although the six-sensor scheme trailed the other two schemes in the model cross validation, it outperformed the other two schemes considerably in the model validation. The potential reason for this performance discrepancy between the six-sensor scheme and 32-or 10-sensor schemes may lie in the fact that the four sensors (sensor 5, 6, 23, and 31) that are more sensitive to the water vapor were excluded from these six sensors.…”

Section: Svm Model Validationmentioning

confidence: 98%

“…One study has clearly documented that the volatile profile from the Botrytis allii pathogen is different from sterile water-inoculated onion bulbs and two other pathogens. In that study, they found six volatile compounds (acetone, acetic acid-hydrazide, propylcarbamate, 1-bromo-1-propene, thiirane, 1-(methylthio)-E-1-propene and 1-ethenyl-4-ethyl-benzene) that were unique to onions infected with Botrytis allii [9]. Although there is no documented study on the volatile profile from the sour skin in onion bulbs, sour skin is always characterized by its unique ''sour'' smell.…”

Section: Introductionmentioning

confidence: 99%

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Onion sour skin detection using a gas sensor array and support vector machine

Gitaitis

Tollner

et al. 2009

Sens. & Instrumen. Food Qual.

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Onion is a major vegetable crop in the world. However, various plant diseases, including sour skin caused by Burkholderia cepacia, pose a great threat to the onion industry by reducing shelf-life and are responsible for significant postharvest losses in both conventional and controlled atmosphere (CA) storage. This study investigated a new sensing approach to detect sour skin using a gas sensor array and the support vector machine (SVM). Sour skin infected onions were put in a concentration chamber for headspace accumulation and measured three to six days after inoculation. Principal component analysis (PCA) score plots showed two distinct clusters formed by healthy and sour skin infected onions. The MANOVA statistical test further proved the hypothesis that the responses of the gas sensor array to healthy onion bulbs and sour skin infected onion bulbs are significantly different (P \ 0.0001). The support vector machine was employed for the classification model development. The study was undertaken in two phases: model training and cross-validation within the training datasets and model validation using new datasets. The performances of three feature selection schemes were compared using the trained SVM model. The classification results showed that although the six-sensor scheme (with 81% sensor reduction) had a slightly lower correct classification rate in the training phase, it significantly outperformed its counterparts in the validation phase (85% vs. 69% and 67%). This result proved that effective feature selection strategy could improve the discrimination power of the gas sensor array. This study demonstrated the feasibility of using a gas sensor array coupled with the SVM for the detection of sour skin in sweet onion bulbs. Early detection of sour skin will help reduce postharvest losses and secondary spread of bacteria in storage.

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“…In addition, VOCs identification can also allow plant disease diagnosis (Jonsson et al 1997;Wilson and Lester 1998;Harper 2001;Prithiviraj et al 2004;Vikram et al 2005;Laothawornkitkul et al 2008;Spinelli et al 2010Spinelli et al , 2011a.…”

Section: Introductionmentioning

confidence: 99%

Emission of volatile compounds by Erwinia amylovora: biological activity in vitro and possible exploitation for bacterial identification

Spinelli

Cellini

Vanneste

et al. 2011

Trees

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Several analytical techniques such as gas chromatography-mass spectrometry, proton transfer reaction-mass spectrometry and laser photoacoustic detection, were used to characterize the volatiles emitted by Erwinia amylovora and other plant-pathogenic bacteria. Diverse volatiles were found to be emitted by the different bacterial species examined. The distinct blend of volatiles produced by bacteria allowed their identification using an electronic nose (e-nose). The present study reports the discrimination of E. amylovora, the fire blight pathogen, from other plantassociated bacteria using an e-nose based on metal oxide semiconductor sensors. Two different approaches were used for bacterial identification. The first one was the direct comparison of the odorous profiles of unknown bacterial isolates with four selected reference species. The second approach was the use of previously developed databases representing the odorous variability among several bacterial species. Using these two strategies, the e-nose successfully identified the isolates in 87.5 and 62.5% of the cases, respectively. Finally, the profiling of the volatiles emitted by E. amylovora lead to identify some metabolic markers with a potential biological activity in vitro.

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Volatile Metabolite Profiling for the Discrimination of Onion Bulbs Infected by Erwinia carotovora ssp. carotovora, Fusarium oxysporum and Botrytis allii

Cited by 86 publications

References 13 publications

Soil nematodes mediate positive interactions between legume plants and rhizobium bacteria

Soil nematodes mediate positive interactions between legume plants and rhizobium bacteria

Onion sour skin detection using a gas sensor array and support vector machine

Emission of volatile compounds by Erwinia amylovora: biological activity in vitro and possible exploitation for bacterial identification

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