New Opportunities in Metabolomics and Biochemical Phenotyping for Plant Systems Biology

Gibon, Yves; Deborde, Catherine; Bernillon, Stéphane; Moing, Annick

doi:10.5772/31639

Cited by 3 publications

(3 citation statements)

References 134 publications

(104 reference statements)

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“…Furthermore, by correlating with molecular markers and agronomical traits, metabolites can also be employed to offer comprehensive information (as selection criteria in pre-breeding procedures) [ 56 ] regarding the potential use of the genetic material. The possibility to perform statistical analysis on large-scale datasets using correlative approaches, has facilitated the identification of metabolites linked to specific genotypes [ 57 ].…”

Section: Introductionmentioning

confidence: 99%

Genetic and Metabolite Variability among Commercial Varieties and Advanced Lines of Vicia faba L.

Avramidou

Sarri

Ganopoulos

et al. 2023

Plants

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Vicia faba L. (faba bean) is one of the most promising pulse crops due to its nutritional value and high nitrogen fixation capacity. The aim of the present study was to compare the genetic diversity and the seed metabolite profiles of five genetic materials of faba bean. Specifically, three newly developed advanced lines (KK18, KK14 and KK10) and two commercial cultivars (POLIKARPI and TANAGRA), were evaluated for this purpose. Genetic diversity among populations was assessed by SCoT molecular markers. Through UPGMA dendrogram, genetic distances between populations were estimated. Untargeted metabolomics analysis of the seeds was performed employing GC/EI/MS. The cultivar POLYKARPI exhibited the highest polymorphism. All varieties showed a higher within-cultivars and advanced lines variability than between. POLYKARPI and KK14 had the lowest genetic distances, while KK18 and TANAGRA presented the highest ones. The advanced line KK18 displayed the best nutritional profile, the highest concentration of desirable metabolites (lactic acid and trehalose), the lowest concentration of anti-nutritional factors (oxalic acid) and the lowest concentration of saturated fatty acids (palmitic and stearic acid). According to the results of the present study, KK18 line is a very promising material for further exploration and utilization in breeding programs.

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Section: Introductionmentioning

confidence: 99%

Genetic and Metabolite Variability among Commercial Varieties and Advanced Lines of Vicia faba L.

Avramidou

Sarri

Ganopoulos

et al. 2023

Plants

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“…Nowadays, the researcher's focus is shifting from a targeted approach to the untargeted collective pool of molecules with increasing acceptance of handling big data scientifically to attain maximum output. Metabolomics can help in the prediction of plant response toward different physiological factors even before any visible phenotypic change in the plant 26 , 27 In addition to prediction of plant response, metabolomics has also been explored in the development of personalized drug treatment 28 because it can also predict the individual response or interindividual variations to a drug treatment based on the patient's genetically encoded metabolic profile.…”

Section: Introductionmentioning

confidence: 99%

“…Advances in metabolomics data acquisition and data handling computational tools have also made it a significant breakthrough technique in the phytochemical fingerprinting and profiling studies for botanical's quality assurance. Nowadays, the researcher's focus is shifting from a targeted approach to the untargeted collective pool of molecules with increasing acceptance of handling big data scientifically 26,27 In addition to prediction of plant response, metabolomics has also been explored in the development of personalized drug treatment 28 because it can also predict the individual response or interindividual variations to a drug treatment based on the patient's genetically encoded metabolic profile.…”

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confidence: 99%

A conversation between hyphenated spectroscopic techniques and phytometabolites from medicinal plants

Puri

Sahal

Sharma

2021

Analytical Science Advances

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Medicinal plant metabolomics has emerged as a goldmine for the natural product chemists. It provides a pool of bioactive phytoconstituents leading to accelerated novel discoveries and the elucidation of a variety of biosynthetic pathways. Further, it also acts as an innovative tool for herbal medicine's scientific validation and quality assurance. This review highlights different strategies and analytical techniques employed in the practice of metabolomics. Further, it also discusses several other applications and advantages of metabolomics in the area of natural product chemistry. Additional examples of integrating metabolomics with multivariate data analysis techniques for some Indian medicinal plants are also reviewed. Recent technical advances in mass spectrometry-based hyphenated techniques, nuclear magnetic resonance-based techniques, and comprehensive hyphenated technologies for phytometabolite profiling studies have also been reviewed. Mass Spectral Imaging (MSI) has been presented as a highly promising method for high precision in situ spatiotemporal monitoring of phytometabolites. We conclude by introducing GNPS (Global Natural Products Social Molecular Networking) as an emerging platform to make social networks of related molecules, to explore data and to annotate more metabolites, and expand the networks to novel "predictive" metabolites that can be validated.

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Genetic diversity and metabolic profile of Salvia officinalis populations: implications for advanced breeding strategies

Sarrou

Ganopoulos

Xanthopoulou

et al. 2017

Planta

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As a result of this work, we were able to characterize seven indigenous to Greece Salvia officinalis populations using genetic and metabolomic tools. These tools can be used to select the most promising genotypes, capable to design future breeding programs for high valuable varieties. An initial investigation was carried out to compare the genetic and metabolic diversity in S. officinalis grown in Greece and to discern the relationship between the two sets of data. Analysis of inter-simple sequence repeats (ISSR) revealed significant genetic differences among seven sage populations, which were grouped into three main clusters according to an UPGMA ISSR data-based dendrogram and Principle Coordinate Analysis. 80 loci were scored of which up to 90% were polymorphic at species level. According to the composition of their essential oil, the populations were classified into two chemotypes: 1.8 cineole/α-thujone and α-thujone/1.8 cineole. Additionally, a targeted ultra performance liquid chromatography (UPLC-MS/MS) method was used to qualify and quantify phenolic compounds in methanolic extracts of the seven sage genotypes according to which they were districted in six clusters among the sage populations. The main compounds characterizing the seven genotypes were rosmarinic acid and carnosol, followed by apigenin-7-O-glucoside (Ap7glc), and luteolin-7-O-glucoside (Lu7glc). The correlation between matrices obtained from ISSR data and metabolic profiles was non-significant. However, based on the differences in metabolic fingerprint, we aimed to define populations using as main selection criteria the high polyphenol content and desired essential oil composition, using state to the art analytical tools for the identification of parent lines for breeding programs.

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New Opportunities in Metabolomics and Biochemical Phenotyping for Plant Systems Biology

Cited by 3 publications

References 134 publications

Genetic and Metabolite Variability among Commercial Varieties and Advanced Lines of Vicia faba L.

Genetic and Metabolite Variability among Commercial Varieties and Advanced Lines of Vicia faba L.

A conversation between hyphenated spectroscopic techniques and phytometabolites from medicinal plants

Genetic diversity and metabolic profile of Salvia officinalis populations: implications for advanced breeding strategies

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