Study of the Volatile Metabolome in Plant–Insect Interactions

Weingart, Georg; Lawo, N.C.; Forneck, Astrid; Krska, Rudolf; Schuhmacher, Rainer

doi:10.1002/9783527669882.ch7

Cited by 2 publications

(1 citation statement)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Metabolomic analyses have also been performed to compare the primary metabolites of fruits (Dai et al, 2013;Cuadros-Inostroza et al, 2016;Zhao et al, 2016) and leaves (Harb et al, 2015;Conde et al, 2018). Other studies have focused on the analysis of the volatile compounds in roots (Lawo et al, 2011), leaves (Weingart et al, 2012), and berries (Vrhovsek et al, 2014).…”

Section: Metabolomicsmentioning

confidence: 99%

Transcriptomic and metabolomic integration as a resource in grapevine to study fruit metabolite quality traits

et al. 2022

View full text Add to dashboard Cite

Transcriptomics and metabolomics are methodologies being increasingly chosen to perform molecular studies in grapevine (Vitis vinifera L.), focusing either on plant and fruit development or on interaction with abiotic or biotic factors. Currently, the integration of these approaches has become of utmost relevance when studying key plant physiological and metabolic processes. The results from these analyses can undoubtedly be incorporated in breeding programs whereby genes associated with better fruit quality (e.g., those enhancing the accumulation of health-promoting compounds) or with stress resistance (e.g., those regulating beneficial responses to environmental transition) can be used as selection markers in crop improvement programs. Despite the vast amount of data being generated, integrative transcriptome/metabolome meta-analyses (i.e., the joint analysis of several studies) have not yet been fully accomplished in this species, mainly due to particular specificities of metabolomic studies, such as differences in data acquisition (i.e., different compounds being investigated), unappropriated and unstandardized metadata, or simply no deposition of data in public repositories. These meta-analyses require a high computational capacity for data mining a priori, but they also need appropriate tools to explore and visualize the integrated results. This perspective article explores the universe of omics studies conducted in V. vinifera, focusing on fruit-transcriptome and metabolome analyses as leading approaches to understand berry physiology, secondary metabolism, and quality. Moreover, we show how omics data can be integrated in a simple format and offered to the research community as a web resource, giving the chance to inspect potential gene-to-gene and gene-to-metabolite relationships that can later be tested in hypothesis-driven research. In the frame of the activities promoted by the COST Action CA17111 INTEGRAPE, we present the first grapevine transcriptomic and metabolomic integrated database (TransMetaDb) developed within the Vitis Visualization (VitViz) platform (https://tomsbiolab.com/vitviz). This tool also enables the user to conduct and explore meta-analyses utilizing different experiments, therefore hopefully motivating the community to generate Findable, Accessible, Interoperable and Reusable (F.A.I.R.) data to be included in the future.

show abstract

Section: Metabolomicsmentioning

confidence: 99%

Transcriptomic and metabolomic integration as a resource in grapevine to study fruit metabolite quality traits

et al. 2022

View full text Add to dashboard Cite

show abstract

Informatics for Metabolomics

Kusonmano

Vongsangnak

Chumnanpuen

2016

Advances in Experimental Medicine and Biology

View full text Add to dashboard Cite

Metabolome profiling of biological systems has the powerful ability to provide the biological understanding of their metabolic functional states responding to the environmental factors or other perturbations. Tons of accumulative metabolomics data have thus been established since pre-metabolomics era. This is directly influenced by the high-throughput analytical techniques, especially mass spectrometry (MS)- and nuclear magnetic resonance (NMR)-based techniques. Continuously, the significant numbers of informatics techniques for data processing, statistical analysis, and data mining have been developed. The following tools and databases are advanced for the metabolomics society which provide the useful metabolomics information, e.g., the chemical structures, mass spectrum patterns for peak identification, metabolite profiles, biological functions, dynamic metabolite changes, and biochemical transformations of thousands of small molecules. In this chapter, we aim to introduce overall metabolomics studies from pre- to post-metabolomics era and their impact on society. Directing on post-metabolomics era, we provide a conceptual framework of informatics techniques for metabolomics and show useful examples of techniques, tools, and databases for metabolomics data analysis starting from preprocessing toward functional interpretation. Throughout the framework of informatics techniques for metabolomics provided, it can be further used as a scaffold for translational biomedical research which can thus lead to reveal new metabolite biomarkers, potential metabolic targets, or key metabolic pathways for future disease therapy.

show abstract

Study of the Volatile Metabolome in Plant–Insect Interactions

Cited by 2 publications

References 68 publications

Transcriptomic and metabolomic integration as a resource in grapevine to study fruit metabolite quality traits

Transcriptomic and metabolomic integration as a resource in grapevine to study fruit metabolite quality traits

Informatics for Metabolomics

Contact Info

Product

Resources

About