Volatile organic compound (VOC) profiling of citrus tristeza virus infection in sweet orange citrus varietals using thermal desorption gas chromatography time of flight mass spectrometry (TD-GC/TOF-MS)

Cheung, William; Pasamontes, Alberto; Peirano, Daniel J.; Zhao, Wenwei; Grafton-Cardwell, Elizabeth E.; Kapaun, Therese; Yokomi, R. K.; Simmons, James G.; Doll, Mimi; Fiehn, Oliver; Dandekar, Abhaya M.; Davis, Cristina E.

doi:10.1007/s11306-015-0807-6

Cited by 26 publications

(17 citation statements)

References 46 publications

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“…Therefore, this approach is not the best way to identify targeted metabolites. In the future, optimized extraction methods and/or detecting methods for targeted metabolites, such as acyl CoAs 35 , lipids 36 37 and volatiles 38 39 40 41 , should be combined with current non-targeted approach, to better understand the whole metabolomic changes occurring in developing rice grains.…”

Section: Discussionmentioning

confidence: 99%

Identification of Conserved and Diverse Metabolic Shifts during Rice Grain Development

Tohge

Chan³

et al. 2016

Sci Rep

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Seed development dedicates to reserve synthesis and accumulation and uncovering its genetic and biochemical mechanisms has been a major research focus. Although proteomic and transcriptomic analyses revealed dynamic changes of genes and enzymes involved, the information regarding concomitant metabolic changes is missing. Here we investigated the dynamic metabolic changes along the rice grain development of two japonica and two indica cultivars using non-targeted metabolomics approach, in which we successfully identified 214 metabolites. Statistical analyses revealed both cultivar and developmental stage dependent metabolic changes in rice grains. Generally, the stage specific metabolic kinetics corresponded well to the physiological status of the developing grains, and metabolic changes in developing rice grain are similar to those of dicot Arabidopsis and tomato at reserve accumulation stage but are different from those of dicots at seed desiccation stage. The remarkable difference in metabolite abundances between japonica and indica rice grain was observed at the reserve accumulation stage. Metabolite-metabolite correlation analysis uncovered potential new pathways for several metabolites. Taken together, this study uncovered both conserved and diverse development associated metabolic kinetics of rice grains, which facilitates further study to explore fundamental questions regarding the evolution of seed metabolic capabilities as well as their potential applications in crop improvement.

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Section: Discussionmentioning

confidence: 99%

Identification of Conserved and Diverse Metabolic Shifts during Rice Grain Development

Tohge

Chan³

et al. 2016

Sci Rep

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“…We hypothesized that dogs were able to detect and differentiate BVDV-infected cell cultures utilizing odors associated with different VOC expression patterns. Several recent reports indicate that cellular infections with viruses are associated with unique profiles of VOC ( 7 – 10 , 17 ), but no published studies equate these VOC with an odor that is detectable by trained dogs. In this study, we were able to train dogs to discriminate cell cultures infected with BVDV from uninfected cell cultures and from cell cultures infected with one of two other viruses demonstrating the potential to detect the presence of odors associated with a target virus.…”

Section: Discussionmentioning

confidence: 99%

Real-Time Detection of a Virus Using Detection Dogs

et al. 2016

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Viral infections are ubiquitous in humans, animals, and plants. Real-time methods to identify viral infections are limited and do not exist for use in harsh or resource-constrained environments. Previous research identified that tissues produce unique volatile organic compounds (VOC) and demonstrated that VOC concentrations change during pathologic states, including infection, neoplasia, or metabolic disease. Patterns of VOC expression may be pathogen specific and may be associated with an odor that could be used for disease detection. We investigated the ability of two trained dogs to detect cell cultures infected with bovine viral diarrhea virus (BVDV) and to discriminate BVDV-infected cell cultures from uninfected cell cultures and from cell cultures infected with bovine herpes virus 1 (BHV 1) and bovine parainfluenza virus 3 (BPIV 3). Dogs were trained to recognize cell cultures infected with two different biotypes of BVDV propagated in Madin–Darby bovine kidney cells using one of three culture media. For detection trials, one target and seven distractors were presented on a scent wheel by a dog handler unaware of the location of targets and distractors. Detection of BVDV-infected cell cultures by Dog 1 had a diagnostic sensitivity of 0.850 (95% CI: 0.701–0.942), which was lower than Dog 2 (0.967, 95% CI: 0.837–0.994). Both dogs exhibited very high diagnostic specificity (0.981, 95% CI: 0.960–0.993) and (0.993, 95% CI: 0.975–0.999), respectively. These findings demonstrate that trained dogs can differentiate between cultured cells infected with BVDV, BHV1, and BPIV3 and are a realistic real-time mobile pathogen sensing technology for viral pathogens. The ability to discriminate between target and distractor samples plausibly results from expression of unique VOC patterns in virus-infected and -uninfected cells.

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“…Adsorbed compounds are released by placing the stir bars into a thermal desorption unit coupled with a GC. SBSE has been applied to measure VOCs on plant surfaces (Kfoury et al ., 2017) and in the canopy of trees such as in citrus orchards to determine changes in VOC blends upon disease outbreaks caused by citrus greening disease or tristeza virus infection (Aksenov et al ., 2014; Cheung et al ., 2015).…”

Section: Going Simple and Small: Miniaturized Trapping Devicesmentioning

confidence: 99%

Trends and applications in plant volatile sampling and analysis

et al. 2021

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Volatile organic compounds (VOCs) released by plants serve as information and defense chemicals in mutualistic and antagonistic interactions and mitigate effects of abiotic stress. Passive and dynamic sampling techniques combined with gas chromatography-mass spectrometry analysis have become routine tools to measure emissions of VOCs and determine their various functions. More recently, knowledge of the roles of plant VOCs in the aboveground environment has led to the exploration of similar functions in the soil and rhizosphere. Moreover, VOC patterns have been recognized as sensitive and time-dependent markers of biotic and abiotic stress. This focused review addresses these developments by presenting recent progress in VOC sampling and analysis. We show advances in the use of small, inexpensive sampling devices and describe methods to monitor plant VOC emissions in the belowground environment. We further address latest trends in real-time measurements of volatilomes in plant phenotyping and most recent developments of small portable devices and VOC sensors for non-invasive VOC fingerprinting of plant disease. These technologies allow for innovative approaches to study plant VOC biology and application in agriculture.

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Volatile organic compound (VOC) profiling of citrus tristeza virus infection in sweet orange citrus varietals using thermal desorption gas chromatography time of flight mass spectrometry (TD-GC/TOF-MS)

Cited by 26 publications

References 46 publications

Identification of Conserved and Diverse Metabolic Shifts during Rice Grain Development

Identification of Conserved and Diverse Metabolic Shifts during Rice Grain Development

Real-Time Detection of a Virus Using Detection Dogs

Trends and applications in plant volatile sampling and analysis

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