A comprehensive Vis-NIRS equation for rapid quantification of seed glucosinolate content and composition across diverse Brassica oilseed chemotypes

Gohain, Bornali; Kumar, Pawan; Malhotra, Bhanu; Augustine, Rehna; Pradhan, Akshay K.; Bisht, Naveen C.

doi:10.1016/j.foodchem.2021.129527

Cited by 20 publications

(8 citation statements)

References 36 publications

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“…B. juncea lines were initially analysed for total seed glucosinolate content using near infrared reflectance spectroscopy in NIRS DS2500 (FOSS, Denmark) and a previously published calibration equation (Gohain et al, 2021). The component glucosinolates of B. juncea tissue types, transformed CCL‐1 cells, and seeds of the Arabidopsis gtr1gtr2 complementation lines were extracted as desulpho‐glucosinolates and analysed using high performance liquid chromatography (HPLC) using established protocols (Bajpai, Reichelt, Augustine, Gershenzon, & Bisht, 2019; Burow et al, 2006).…”

Section: Methodsmentioning

confidence: 99%

“…The globally cultivated oilseed crop, Brassica juncea possess a large diversity of methionine‐derived aliphatic glucosinolates and a lower abundance of indolic and benzenic glucosinolates (Gohain et al, 2021; Kumar et al, 2019). This crop offers several advantages over other Brassica oilseed crops such as more vigorous seedling growth, lower levels of pod shattering and greater tolerance to biotic and abiotic challenges (Burton, Pymer, Salisbury, Kirk, & Oram, 1999; Potts, Rakow, & Males, 1999).…”

Section: Introductionmentioning

confidence: 99%

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GTR1 and GTR2 transporters differentially regulate tissue‐specific glucosinolate contents and defence responses in the oilseed crop Brassica juncea

Nambiar

Kumari

Augustine

et al. 2021

Plant Cell & Environment

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GTR1 and GTR2 transporters are components of the source to sink translocation network of glucosinolates, which are major defence metabolites in the Brassicaceae. These transporters can be genetically manipulated for reduction of seed-glucosinolates without inhibiting glucosinolate biosynthesis, thereby maintaining the inherent defence potential of plants. However, the different roles of GTRs in influencing tissue-specific distribution of glucosinolates in agriculturally important Brassica crops are yet unknown. Here, we report functional characterization of two groups of glucosinolate transporters (GTR1 and GTR2) from Brassica juncea based on gene expression data, biochemical analysis, gene-complementation studies in GTR-deficient mutants and RNAi-based knockdown followed by insect feeding experiments. Although both GTRs showed ubiquitous expression patterns and broad substrate specificity, the single-gene knockdown lines displayed different phenotypes. The GTR2-knockdown plants showed a significant reduction of glucosinolates in seeds and a higher accumulation in leaves and pods, while the GTR1-knockdown plants displayed a smaller reduction of glucosinolates in seeds and significantly lower glucosinolate levels in leaves. Consequently, knockdown of GTR2 resulted in higher resistance towards the generalist pest, Spodoptera litura. Overall, our study highlights the distinctive roles of B. juncea GTRs in tissue-specific accumulation of glucosinolates and the potential for manipulating GTR2 for enhanced nutrition and plant defence.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GTR1 and GTR2 transporters differentially regulate tissue‐specific glucosinolate contents and defence responses in the oilseed crop Brassica juncea

Nambiar

Kumari

Augustine

et al. 2021

Plant Cell & Environment

Self Cite

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“…RPD values below 1.5 indicate that the model performance is not usable, values between 1.5 and 2.0 suggest a possibility to distinguish between high and low values, and values over 2.0 reveal a possibility of quantitative prediction (Saeys et al 2005). The RER is related to the range of the objective variable, where values over 4.0 indicate that the model is acceptable for sample screening and values over 10.0 reveal quality control level (Gohain et al 2021). The EI is also a metric that takes into account the distribution range of the objective variable.…”

Section: Construction and Evaluation Of Estimation Modelmentioning

confidence: 99%

Estimation of Apple Mealiness by Means of Laser Scattering Measurement

IIDA

Kokawa

Kitamura

2023

Food Bioprocess Technol

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Mealiness is a phenomenon in which intercellular adhesions in apples loosen during storage, causing soft and oury texture at the time of eating, and leading to lower consumer preference. Although apples can be stored and commercially sold throughout the year, the occurrence of mealiness is not monitored during storage. Therefore, the objective of this research was to non-destructively estimate the mealiness of apple fruit by means of laser scattering measurement. This method is based on laser light backscattering imaging but can quantify a wider range of backscattered light than the conventional method. Lasers with wavelengths of 633 nm and 850 nm were used as a light source, and after acquiring backscattered images, pro les and images were obtained. Pro le features such as curve tting coe cients and pro le gradients, and image features such as statistical image features and texture features were extracted from the pro les and images, respectively. PLS, SVM, and ANN models were used for the estimation of mealiness. The results of the estimation based on these features showed that the ANN model combining both wavelengths had a higher performance (R = 0.634, RMSE = 7.621) than the models constructed from features calculated from the data obtained by a single wavelength. In order to improve the performance of model, we applied various ensemble learning. As a result, the ensemble model showed the highest performance (R = 0.682, RMSE = 7.281). These results suggest that laser scattering measurement is a promising method for estimating the apple fruit mealiness.

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“…[ [111][112][113][114] PUFA Prevention of atherosclerosis [115] Phytoestrogens Osteoporosis, cancer, menopausal symptoms, cardiovascular disease, obesity and type 2 diabetes, male infertility [116][117][118] Regarding the analytical techniques employed to determine glucosinolates in vegetable samples, most of them are liquid chromatography (LC) coupled to different detectors, such as LC-MS, LC-MS/MS, HPLC-DAD-MS or UHPLC-Q-Orbitrap-MS [119,120]; although Vis-NIRS spectroscopy has recently been proven to also be effective [121].…”

Section: Dietary Fibermentioning

confidence: 99%

Nutraceutical and Pharmaceutical Behavior of Bioactive Compounds of Miracle Oilseeds: An Overview

Morya

Menaa

Jiménez-López

et al. 2022

Foods

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India plays an important role in the production of oilseeds, which are mainly cultivated for future extraction of their oil. In addition to the energic and nutritional contribution of these seeds, oilseeds are rich sources of bioactive compounds (e.g., phenolic compounds, proteins, minerals). A regular and moderate dietary supplementation of oilseeds promotes health, prevents the appearance of certain diseases (e.g., cardiovascular diseases (CVDs), cancers) and delays the aging process. Due to their relevant content in nutraceutical molecules, oilseeds and some of their associated processing wastes have raised interest in food and pharmaceutical industries searching for innovative products whose application provides health benefits to consumers. Furthermore, a circular economy approach could be considered regarding the re-use of oilseeds’ processing waste. The present article highlights the different oilseed types, the oilseeds-derived bioactive compounds as well as the health benefits associated with their consumption. In addition, the different types of extractive techniques that can be used to obtain vegetable oils rich from oilseeds, such as microwave-assisted extraction (MAE), ultrasonic-assisted extraction (UAE) and supercritical fluid extraction (SFE), are reported. We conclude that the development and improvement of oilseed markets and their byproducts could offer even more health benefits in the future, when added to other foods.

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A comprehensive Vis-NIRS equation for rapid quantification of seed glucosinolate content and composition across diverse Brassica oilseed chemotypes

Cited by 20 publications

References 36 publications

GTR1 and GTR2 transporters differentially regulate tissue‐specific glucosinolate contents and defence responses in the oilseed crop Brassica juncea

GTR1 and GTR2 transporters differentially regulate tissue‐specific glucosinolate contents and defence responses in the oilseed crop Brassica juncea

Estimation of Apple Mealiness by Means of Laser Scattering Measurement

Nutraceutical and Pharmaceutical Behavior of Bioactive Compounds of Miracle Oilseeds: An Overview

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