Metabolomics as a tool to discriminate species of the Ananas genus and assist in taxonomic identification

Cassago, Alvaro Luis Lamas; Souza, Fernanda Vidigal Duarte; Zocolo, Guilherme Julião; Costa, Fernando B. Da

doi:10.1016/j.bse.2021.104380

Cited by 3 publications

(4 citation statements)

References 53 publications

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“…Freitas et al (2021) andCassago et al (2022), the identi cation of metabolites by UHPLC-ESI-HRMS presented in this study is in accordance with the classi cation of identi cation levels used in prior metabolomics studies(Blaženović et al, 2018;Sumner et al, 2007), where: level 0 = isolated compounds; level 1 = identi ed compounds; level 2 = annotated compounds; level 3 = putative compounds; level 4 = unknown compounds. Mass accuracy was calculated in Microsoft Excel (Microsoft Corp., USA) and tolerance was established at 5.0 ppm (Brenton and Godfrey, 2010).…”

supporting

confidence: 80%

“…In the literature, several studies have been using 2022) showed in their work the metabolic pro les of several samples of Ananas, and how their secondary metabolites were used to discriminate species and varieties from Ananas using multivariate statistical analysis. Furthermore, the chemical composition of Ananas leaves could be used to assist in the taxonomic classi cation of individuals belonging to this genus (Cassago et al, 2022).…”

Section: Chromatographic Analysesmentioning

confidence: 99%

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Untargeted metabolomic approach based on UHPL-ESI-HRMS to investigate metabolic profiles of different Coffea species and terroir

Artêncio

Cassago

Silva

et al. 2023

Preprint

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Coffee (Coffea spp) has evolved from an agricultural commodity to a specialty beverage, regarding the product’s trading, appreciation, philosophies, and purposes of consumption. Consequently, part of the coffee industry has focused on the sensory complexion and high-quality to meet engaged consumers. To evaluate the chemical profiles and distinctiveness of natural products from plants, metabolomics has emerged as a valuable tool. In this work, we carried out an untargeted metabolomic approach based on reversed-phase liquid chromatography coupled with mass spectrometry, followed by multivariate statistical analysis to obtain the metabolic fingerprints of 21 coffee samples belonging to two species and five botanical varieties, as follows: C. arabica (var. yellow catuai, yellow bourbon, and yellow obata) and C. canephora (var. conilon, and robusta). The samples were obtained in the 2022 Edition of the “Brazilian International Conference of Coffee Tasters”, state of Rondônia, Brazil. Principal Component Analysis and Orthogonal Projections Latent Structures Discriminant Analysis were performed using the metabolomic data, resulting in the discrimination of coffee samples based on their chemical profiles. Caffeine, DIMBOA-Gl, roemerine, and cajanin were determined as chemical markers for C. canephora samples, and toralactone, cnidilide, LysoPC(18:2(9Z,12Z)), Lysophosphatidylcholine(16:0/0:0), and 2,3-Dehydrosilybin for C. arabicasamples. In addition to the genetic variability, our results show the possible influence of a terroir factor in the production of secondary metabolites of coffee samples, mainly for individuals of C. canephora.

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supporting

confidence: 80%

Section: Chromatographic Analysesmentioning

confidence: 99%

Untargeted metabolomic approach based on UHPL-ESI-HRMS to investigate metabolic profiles of different Coffea species and terroir

Artêncio

Cassago

Silva

et al. 2023

Preprint

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“…Metabolomics is a multidisciplinary field of research related to the study of biological systems' metabolomes, such as a single cell, tissue or organ, in a given physiological state (Bueno and Lopes, 2020). Metabolomics studies are mainly composed of three experimental steps: (1) extraction of metabolites from the biological system, (2) utilization of analytical tools for data acquisition and (3) data processing and analysis using statistic tools (Pilon et al, 2020;Cassago et al, 2022).…”

Section: Metabolomicsmentioning

confidence: 99%

“…Metabolomics studies are mainly composed of three experimental steps: (1) extraction of metabolites from the biological system, (2) utilization of analytical tools for data acquisition and (3) data processing and analysis using statistic tools (Pilon et al. , 2020; Cassago et al. , 2022).…”

Section: Literature Reviewmentioning

confidence: 99%

One step further: application of metabolomics techniques on the geographical indication (GI) registration process

Artêncio

Cassago

Giraldi

et al. 2022

BPMJ

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PurposeA region can be registered as a geographical indication (GI) when its human or natural characteristics influence product attributes. However, GI registration is a complex process that can lead applicants to conflicts and resource waste. Since metabolomics can support product typicality, it can be an effective tool to evidence the place-product link, essential for GI registration. With the aim of increasing GI registration efficiency, this research aimed to map the Brazilian GI registration process from end to end, using business process model and notation (BPMN), and evaluate the application of metabolomics techniques as facilitator.Design/methodology/approachA qualitative exploratory study was proposed, with the Brazilian GI registration process as unit of analysis. Primary data was obtained through twelve in-depth interviews with GI producers, members of supporting institutions and metabolomics experts. Based on the collected data, the complete GI registration map was designed with bpmn.io software.FindingsResults provided a clear view of the GI registration process. Interviewees considered the selection of the appropriate GI category, the establishment of GI common rules, product specification and the confirmation of the place-product link as the most demanding requirements. Since the last two involve specifying the influence of the origin on products, the use of metabolomics was suggested as a powerful tool to complete these stages.Research limitations/implicationsThe theoretical contribution is provided by the interweave of the three scientific fields mentioned (GI, business process management (BPM) and metabolomics) to contribute to the still small body of literature on GI-related processes. Additionally, other theoretical contributions are the presentation of a GI registration map associated to the use of “omics” techniques as process facilitator.Practical implicationsThe practical contribution of this work is the establishment of an end-to-end view of the entire GI registration process, which makes easier for applicants to engage, plan resources and achieve the GI label. Furthermore, metabolomics acts as a facilitator since its data can be used for different purposes on the way to GI registration.Social implicationsResults can be used to facilitate GI registration, reducing resources demanded from applicants. GI labels provide product protection, better selling prices and competitive advantages for producers, which are positive outcomes in countries with a commodity-based economy like Brazil.Originality/valueThe originality of the study lies in the approach used to map the GI registration process, as well as the suggestion of metabolomics as facilitator in some of its stages.

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Untargeted Metabolomic Approach Based on UHPL-ESI-HRMS to Investigate Metabolic Profiles of Different Coffea Species and Terroir

Artêncio,

Cassago,

da Silva

et al. 2023

Rev. Bras. Farmacogn.

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Metabolomics as a tool to discriminate species of the Ananas genus and assist in taxonomic identification

Cited by 3 publications

References 53 publications

Untargeted metabolomic approach based on UHPL-ESI-HRMS to investigate metabolic profiles of different Coffea species and terroir

Untargeted metabolomic approach based on UHPL-ESI-HRMS to investigate metabolic profiles of different Coffea species and terroir

One step further: application of metabolomics techniques on the geographical indication (GI) registration process

Untargeted Metabolomic Approach Based on UHPL-ESI-HRMS to Investigate Metabolic Profiles of Different Coffea Species and Terroir

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