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Omics Technologies Applied to Agriculture and Food
GC/MS-based Metabolites Profiling of Nutrients and Antinutrients in Eight Lens and Lupinus Seeds (Fabaceae) Mohamed A. Farag, Amira R. Khattab, Anja Ehrlich, Matthias Kropf, Andreas G. Heiss, and Ludger A. Wessjohann J. Agric. Food Chem., Just Accepted Manuscript • DOI: 10.1021/acs.jafc.8b00369 • Publication Date (Web): 21 Mar 2018 Downloaded from http://pubs.acs.org on March 23, 2018
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Journal of Agricultural and Food Chemistry
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For submission to: JAFC
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GC/MS-based Metabolites Profiling of Nutrients and Anti-
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nutrients in Eight Lens and Lupinus Seeds (Fabaceae)
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Mohamed A. Farag1,2*, Amira R. Khattab3, Anja Ehrlich4, Matthias Kropf5, Andreas G. Heiss6,
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Ludger A. Wessjohann4
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Pharmacognosy Department, College of Pharmacy, Cairo University, Cairo, Egypt, Kasr el Aini St., P.B. 11562;
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Chemistry Department, School of Sciences & Engineering, The American University in Cairo, New Cairo 11835, Egypt;
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Academy for Science, Technology and Maritime Transport, Alexandria, Egypt, P.B.1029;
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Institute for Integrative Nature Conservation Research, University of Natural Resources and Life Sciences Vienna (BOKU), Austria;
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Institute for Integrative Nature Conservation Research, University of Natural Resources and Life Sciences Vienna (BOKU), Austria;
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Pharmacognosy Department, Division of Pharmaceutical Sciences, College of Pharmacy, Arab
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Department for Bioarchaeology, Austrian Archaeological Institute (ÖAI), Austrian Academy of Sciences (ÖAW), Austria.
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*Corresponding author: Mohamed A. Farag
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E-mail:
[email protected],
[email protected] 21
Tel: +011-202-2362245, Fax: +011-202-25320005
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ABSTRACT
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Lens culinaris and several Lupinus species are two legumes regarded as potential protein
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resources aside from their richness in phytochemicals. Consequently, characterization of their
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metabolite composition seems warranted to be considered as a sustainable commercial
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functional food. This study presents a discriminatory-holistic approach for metabolites
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profiling in accessions of four lentil cultivars and four lupinus species via gas
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chromatography-mass spectrometry. A total of 107 metabolites were identified encompassing
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organic and amino acids, sugars and sterols along with anti-nutrients viz. alkaloids and sugar
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phosphates. Among the examined specimens, four nutritionally-valuable accessions ought to
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be prioritized for future breeding to include Lupinus hispanicus, enriched in organic
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(ca.11.7%) and amino acids (ca.5%), and L. angustifolius, rich in sucrose (ca.40%), along
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with two dark-colored lentil cultivars ‘verte du Puy’ and ‘Black Beluga’ enriched in peptides.
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Anti-nutrient chemicals were observed in Lupinus polyphyllus owing to its high alkaloids
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content. Several species-specific markers were also revealed using multivariate data analyses.
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KEYWORDS: Functional foods; GC/MS; Lens culinaris; Lupinus; Metabolite profiling;
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Nutrients; OPLS-DA; PCA.
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1. Introduction
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Increasing demand for protein resources owing to the growing human population along
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with the reported health risk of animal protein consumption warrants the development of
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other plant protein as in soybean derived food. Such interest towards the incorporation of
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plant proteins in human diet derived the development of effective analytical methods for the
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screening of plant foods.1
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Leguminous seeds, viz. lupines, soybeans, lentils, beans, and peas are valued as
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promising alternative supply of proteins for human and animal consumption worldwide.
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Among these, lupin (Lupinus L.) is one of the richest protein resources, almost as high as that
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of soybean (~35-40% of the dry weight) followed by lentil (Lens culinaris Medik.), which is
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known as “poor man’s meat”, with a protein content of ca. 20–25%. It should be noted that
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compared to animal protein, plants present a less complete resource of amino acids which
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warrants mixing different plant protein diet in what is known typically as complementary
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protein. 2-3
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Both Lens culinaris and Lupinus seeds provide a well-balanced source of essential amino
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acids, carbohydrates, fiber, minerals, and vitamins as well as a myriad of bioactive
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phytochemicals viz., quinolizidine alkaloids, polyphenols and saponins of value for the
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management and prevention of ailments.4 However, these seeds contain a number of anti-
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nutrients, i.e. tannins, oligosaccharides, saponins, phytates, and protease inhibitors, well
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reported to cause detrimental effects to human nutritional status by hindering the uptake and
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utilization of minerals, vitamins, proteins and other key nutrients. 3
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Lupinus species (subfamily Faboideae; tribus Genisteae), such as L. albus (white lupin),
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L. angustifolius (blue lupin), L. luteus (yellow lupin), L. mutabilis (pearl lupin) and L.
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hispanicus (Spanish lupin), have been domesticated owing to their nutritive value and ease of
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cultivation under different climatic conditions.1 These species are widely distributed and,
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according to Gladstones (1998) are grouped into “Old World Species”, located in the
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Mediterranean-African region, while “New World Species” include the species found in
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North and South America such as L. polyphyllus. For the three “Old World Species” under
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study (i.e. Lupinus angustifolius, L. hispanicus, and L. luteus; Table 1) a phylogenetic close
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relationship has been demonstrated (cf. Käss & Wink 1997).5 Overall, lupines are
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characterized by a diverse geographical distribution, morphological variation and
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chromosomal polymorphisms.6
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The health benefits of lupin have been extensively reported to include hypoglycemic,
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hypotensive, cholesterol lowering, anticancer and anti-inflammatory effects aside from their
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protection against menopausal symptoms and osteoporosis.1, 7
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All Lupinus species produce quinolizidine alkaloids such as lupinine, lupanine and α-
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isolupanine, albeit with qualitative and quantitative differences as revealed
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multivariate statistical tools.8 The phenolic secondary metabolites in Mediterranean lupin
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species have been reported mostly using LC/MS8-10, particularly considering their value as
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chemotaxonomic markers of Lupinus spp. than the classically employed morphological and
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cytological features.11 Being also a member of the Fabaceae family (subfamily Faboideae),
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lentil seeds (tribus Fabeae) possess a comparable bioactive composition to lupin with
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biological effects to include antioxidant, anticarcinogenic, antihyperglycemic and
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hypocholestrolemic. Lentil is classified into several market classes i.e., extra small red, small
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red, large red, small green, medium green, large green, Spanish brown, zero tannin and Puy.12
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The profiling of phenolic secondary metabolites of the various lentil genotypes was
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reported in relation to its antioxidant capacity.13-14 Phenotypic selection of lentils with
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improved nutritional attributes was further achieved based on the selection of a wide range of
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molecular markers.15
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With an increasing interest in a rather holistic view for metabolites composition in
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legumes, the development of large scale analytical methods now follows. Plant metabolomics
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is valued as a comprehensive profiling technology employed to obtain snapshots of all low
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molecular weight molecules (the metabolome) in a given organism. Such approach
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commonly utilizes rigorous hyphenated mass spectrometry techniques such as gas or liquid
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chromatography mass spectrometry (GC/MS) and (LC/MS), applied in food and
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nutraceuticals analysis. The complexity and richness of metabolomics data can only be
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harnessed using a diverse set of chemometric tools, such as classification, dimensionality
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reduction, visualization, pattern recognition, and or modelling.16 Such platforms can be
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employed to confirm the identity of taxonomically-related plant species, monitor its quality
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or purity attributes and/or to standardize plant-derived products.17-19 The untargeted GC/MS-
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based metabolomics is routinely used to record the rich matrix of plants, made up of several
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low molecular weight metabolites.
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There were scarce reports for multivariate data analyses application for the classification
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of examined seeds, except for the application of artificial neural network and PCA for the
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discrimination of two Lupinus species, L. albus and angustifolius.
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the current study was to profile Lens and Lupinus seed accessions metabolites to provide
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better insight into their compositional differences and/or nutritional traits. Considering the
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complexity of acquired data, unsupervised and supervised multivariate data analyses viz.
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principal component analysis (PCA) and orthogonal partial least squares (OPLS), were
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employed for classification of seed samples, and to ensure good analytical rigorousness.
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2. MATERIALS AND METHODS
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The main objective of
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2.1. Plant material
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Lens culinaris and Lupinus seeds were obtained from two main sources: seed exchange
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with four Botanical Gardens (BAS, HOH, IB, COI), as well as two Austrian organic food
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vendors. Details are listed in Table 1.
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2.2. Chemicals
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All solvents used were of LC/MS grade purchased from J. T. Baker (The Netherlands).
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Umbelliferone was procured from ChromaDex (LGC Standards, Wesel, Germany). All other
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chemicals and standards were purchased from Sigma Aldrich (St. Louis, MO, USA).
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2.3. Sample preparation for GC/MS analysis
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Dried seeds were ground using pestle and mortar under liquid nitrogen. The obtained
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powder (30 mg) was then homogenized with 2.5 mL 100% MeOH containing 5 µg/mL
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umbelliferone (an internal standard for relative quantification) using a Turrax mixer operated
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at 11.000 rpm for 20 s for 5 periods, with 1 min of recession between each mixing period to
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guard against excess heat generated during mixing. For the removal of plant debris, the
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extracts were vortexed vigorously and centrifuged at 3000 g for 30 min.
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2.4. GC/MS analysis of silylated primary metabolites
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For analysis of primary metabolites (viz. amino acids, organic acids, and sugars), 100 µL
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of extract (prepared as described in section 2.3) was evaporated to dryness under nitrogen.
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Derivatization with 150 µL of N-methyl-N-(trimethylsilyl)-trifluoroacetamide (MSTFA)
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was performed at 60◦C for 45 min. Samples were equilibrated at 28◦C prior to analysis using
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Shimadzu GC-17A gas chromatograph interfaced with Shimadzu QP5050A mass
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chromatograph. Separation of silylated derivatives was carried out on Rtx-5MS (30 m length,
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0.25 mm inner diameter, and 0.25 µm film) column. Injections were made in the split mode
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with a split ratio of 1:15 under the following conditions: injector 280˚C, column oven 80˚C
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for 2 min, then programmed at a rate of 5˚C/min to 315˚C, kept at 315˚C for 12 min. He
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carrier gas at 1 mL min-1. The transfer line and ion–source temperatures were adjusted at
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280°C and 180˚C, respectively. The HP quadrupole mass spectrometer was operated in the
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electron ionization mode (EI, 70 eV), with a scan range of 50-650 m/z. The identification of
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the silylated compounds was performed according to the procedure described in 21 and peaks
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were first deconvoluted using AMDIS software (www.amdis.net) and identified by its
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retention indices (RI) relative to n-alkanes (C8-C40), mass spectrum matching to NIST,
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WILEY library database and with authentic standards whenever available.
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2.5. Multivariate data analysis
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Principal component analysis (PCA) and orthogonal partial least squares-discriminate
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analysis (OPLS-DA) were performed with the program SIMCA-P Version 13.0 (Umetrics,
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Umeå, Sweden). The PCA was run for obtaining a general overview of the variance of
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metabolites in the different seed accessions under study, and for obtaining information on
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differences in the metabolite composition among species was revealed by OPLS-DA.
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Performance of chemometric models was evaluated using the two parameters Q2 and R2,
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where R2 is employed to quantify the goodness-of-fit of the model; whereas the model
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predictability is determined from Q2 values. The distance to the model (DModX) was used
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for detecting outliers. Iterative permutation test was further done to omit the non-randomness
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of separation between groups.
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2.6. Statistical Analysis
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Statistical analyses were performed by SPSS (Statistical Package for Social Science) for
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Windows software, version 23.0 (SPSS Inc., Chicago, IL, USA). One-way ANOVA followed
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by post hoc Tukey's test was used at significance level less than 0.05 for multiple
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comparisons between mean values of the seed metabolites from three biological replicates to
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determine significant differences among the examined seed accessions.
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3. RESULTS AND DISCUSSION
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The nutritive value of legume seeds depends on its nutrient as well anti-nutrient
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chemicals composition. Seeds richness in a wide range of macronutrients viz. proteins,
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sugars, fatty acids, is rather limited by their anti-nutritive content viz. alkaloids and phytic
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acid that might have a negative impact on the digestibility and bioavailability of other
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nutrient elements. Development of analytical methods for measuring both classes is thus
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warranted in legume seeds. In the current study, two legumes seeds “Lens & Lupinus” were
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subjected to metabolite profiling using GC/MS targeting its primary and secondary low
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molecular weight chemicals.
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3.1.
GC/MS peaks identification in Lens & Lupinus seeds
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GC/MS analysis was employed for profiling primary metabolites viz. sugars, organic and
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amino acids, phosphorylated compounds, fatty acids along with low molecular weight or non-
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polar secondary metabolites exemplified in alkaloids and steroids. The biological variance
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within each seed accession was assessed by analyzing three independent biological replicates
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analysed under the same conditions.
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Chromatograms (Fig. S1) display a representative profile of Lens and Lupinus seed
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accession metabolome. A total of 107 silylated metabolites were detected belonging to
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different metabolite classes including sugars, alkaloids, steroids, and amino as well as fatty
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acids (Table 2).
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ANOVA analysis revealed significant differences in the percentile levels of phosphate, fatty
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acids, viz. linoleic, oleic and stearic acids, and sugars, viz. α-D-glucopyranoside and
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glucopyranose 4-O-β-D-galactopyranosyl, among the different seed accessions with a
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confidence level of 95%. Lupinus hispanicus Boiss. & Reutt. showed a significantly higher
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lupinine content than other seed accessions, whereas, α-isolupanine and its 13-hydroxy
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derivative were significantly higher in L. polyphyllus Lindl. ‘Russell’ at p < 0.05. Differences
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in organic acids composition viz. succinic acid and its methyl derivative, carbamic and
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acetic acids, nitrogenous compounds viz. ethanolamine, hydroxylamine, phenylethanolamine,
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α-Aminoisobutyric acid and cadaverine
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Medik. subsp. culinaris ‘Petite Rouge d’Egypte’compared to other accessions.”
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were statistically significant in Lens culinaris
3.1.1. Nutritients in Lens and Lupinus seeds
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Sugars (mono- and disaccharides) amounted for the major metabolite class in all
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examined Lens and Lupinus seeds (Table 2), making up to ca.75 % of the total metabolite
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content except for the two Lupinus species, namely L. hispanicus Boiss. & Reutt. and L.
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polyphyllus Lindl. ‘Russell’ totaling ca. 48%. A bar chart depicting the major metabolite
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class percentile levels in Lens and Lupinus seed accessions are represented in Fig. 1,
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revealing seeds enrichment in sugars followed by organic acids.
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3.1.1.1. Sugars and sugar alcohols
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Disaccharides presented the most abundant sugar subclass, with sucrose (G95)
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amounting for ca.30% of the total monitored peaks except for Lens culinaris Medik. subsp.
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culinaris ‘Petite Rouge d’Egypte’, with trace sucrose levels, being instead enriched in
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melibiose (G103, ca.46%) followed by Lupinus luteus L. (ca.18%). Melibiose is formed in
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legume seeds via an invertase-mediated hydrolysis of the oligosaccharide raffinose with the
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production of fructose. Raffinose family oligosaccharides “α-galactosyl derivatives of
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sucrose” are ubiquitous seeds metabolites reported to accumulate during seed development
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and disappear rapidly post germination concurrent with an increase in sucrose levels.22 Such
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correlation between sucrose and raffinose was also observed in our seed specimens.
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Melibiose health benefits include enhanced minerals absorption,
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microbiota via promoting the growth of beneficial flora, particularly Bifidobacterium
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and Lactobacillus strains while inhibiting the growth of pathogenic bacteria aside from its
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immunostimulant and anti-allergic effect..23-25
modulation of gut
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Sucrose, a dimer of glucose and fructose, was not reported to promote glucose-
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intolerance; hence, its intake from sucrose-enriched foods in moderate amounts is favored
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due to the evidenced potentiation of insulin release by fructose that occur in the presence of a
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stimulatory glucose level.26 Accordingly, the consumption of sucrose rich seed accession
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under study “L. angustifolius L. Boltensia” is unlikely to cause increase in post prandial
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glucose levels.27
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It should be noted that although sugar alcohols were represented by eleven peaks viz. L-
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Threitol (G74), Meso-Erythritol (G75), Xylitol (G77), D-Arabitol (G78), D-Pinitol (G81), D-
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Sorbitol (G82 & G83) and Galactinol (G97, G99, G102 & G104), they were present at trace
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levels comparable to cyclic sugars, and being most abundant in Lens culinaris Medik. subsp.
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culinaris ‘Petite Rouge d’Egypte’ and Lupinus luteus L.
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Lens plants were found to minimize sugar alcohol levels acting as humectant upon
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exposure to high moisture so as to guard against water saturation and decomposition of
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mature seeds.28
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Nevertheless, these metabolites inhibit pathogens growth in the gastrointestinal tract and
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promote the growth of the probiotic strains that possess many health-promoting and
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immunomodulatory properties.29
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Galactosyl cyclitols (galactinol) and cyclitols (D-pinitol) are found to accumulate in the
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legume seeds, functioning as reserve carbohydrates during germination, and for seeds
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viability.30 In that regard, Lens culinaris Medik. subsp. culinaris ‘Petite Rouge d’Egypte’
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encompassed the highest galactinol and pinitol levels (16%), followed by Lupinus luteus L.
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(10%).
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3.1.1.2. Organic and inorganic acids
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Organic acids, the odor-imparting compounds to lupin flour, constituted the second most
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abundant class comprising (5-14%) of the total identified metabolites. Citric acid (G19) is the
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major identified organic acid (4-7%) followed by malic (G13, 1-3%) and malonic acids (G5,
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0.1-2%). Among examined seed specimens, Lupinus hispanicus Boiss. & Reutt. and L.
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polyphyllus Lindl. ‘Russell’ were most enriched in organic acids (ca.12-14%). These acids
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are most probably produced as a result of amino acids degradation caused by microorganisms
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present on the seed hulls.29
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Citric acid exhibits antimicrobial properties due to its acidulation properties in addition
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to antioxidant effect via metal ions chelation, whereas malic acid is commonly found in
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unripe fruits and contributes to its sour taste.31-32 It should be noted that the health hazard
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organic acids viz. oxalic acid was not detected in any of the examined seed extracts.33
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Phosphoric acid (G55) was found most abundant in Lupinus hispanicus Boiss. & Reutt.
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(9.7%) and Lens culinaris Medik. subsp. culinaris ‘Black Beluga’ (5.8%) likely derived from
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phospholipids degradation reported to actively function under high seed moisture content as
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observed in stored soybean seeds.34 Phosphoric acid can synergize the antioxidant potential
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of phenolic antioxidants such as flavonoids in legume seeds.32, 34 Inorganic phosphate was
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also detected in peak (G56), found more abundant in “Old World lupine Species” with the
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highest level in Lupinus hispanicus Boiss. & Reutt. (11%). Phosphate is an essential nutrient
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required for vital biological reactions that maintain cell homeostatic aside from serving as a
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component of genetic material, that is DNA.35
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3.1.1.3. Amino acids/peptides
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Examined specimens of both genera were found to be enriched in free essential amino
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acids, i.e., valine, lysine, threonine, and phenylalanine needed for protein synthesis, growth
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and maintenance of whole-body homeostasis. Nevertheless, examined specimens all lacked
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sulfur-containing essential amino acids in accordance with previous reports.36 Compared to
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lentil amino acid profile, lupine seeds appeared to be more enriched, with L. hispanicus
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Boiss. & Reutt. encompassing the highest levels at ca. 5% of all detected metabolites.
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Consequently, Lupinus species can be regarded as a better nutritive source of plant-based
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protein compared to lens based on free amino acids analysis. Such conclusion needs be
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however further verified by comparing its crude protein content using proteomic tools.
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Free amino acids are reported to exist at small levels in non-germinated Lens seeds, with
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alanine, glutamic, asparagine and aspartic acids the major protein amino acids and in
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agreement with our results.37 γ-Aminobutyric acid (GABA), previously reported to be found
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in germinated Lens culinaris seeds at a concentration of 1.64mg/g dry weight37 and to exhibit
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hypertensive activity38, was detected in all examined seed accessions except L. culinaris
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‘Medik. subsp. culinaris ‘Petite Rouge d’Egypte’.
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Legume seeds are reported to contain peptides with higher antioxidant capacity than their
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intact proteins.39 Two Lens accessions, namely L. culinaris Medik. subsp. culinaris ‘verte du
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Puy’ (brown colored) and L. culinaris Medik. subsp. culinaris ‘Black Beluga’ were found to
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contain the highest peptide levels exemplified in Cys-Gly (G68), Glycyl-l-glutamic acid
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(G69), Ser-Leu (G70) and Ala-Thr (G71).
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The two dark colored Lens culinaris seed accessions, namely L. culinaris Medik. subsp.
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culinaris ‘verte du Puy’ (brown colored) and L. culinaris Medik. subsp. culinaris ‘Black
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Beluga’ were found to be the most abundant in the triterpene i.e., α-amyrin (G73), with
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reported anti-inflammatory activity40, present at 6 and 3%, respectively. β-sitosterol (G72),
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major phytosterol in legume seeds41, was detected though at trace levels (0.1%) in most of
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accessions except Lupinus polyphyllus Lindl. ‘Russell’ and Lens culinaris Medik. subsp.
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culinaris ‘Petite Rouge d’Egypte’. β-sitosterol present in lentils is likely to mediate in part for
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its hypocholesterolaemic effect.41
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3.1.2. Anti-nutrient phytochemicals in Lens and Lupinus seeds 3.1.2.1.
Phytic acid
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Phytic acid “myo-inositol-1, 2, 3, 4, 5, 6 hexabisphosphates”, represented by peaks G86
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& G91, was the major detected source of phosphorous in seeds, likely to provide a source of
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inorganic phosphorus during seed development42 and was interestingly found most abundant
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in the three phylogenetically closely related Old World lupine Species “Lupinus angustifolius
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L. ‘Boltensia’, L. luteus L. and L. hispanicus Boiss. & Reutt. with the latter species
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containing the highest levels (ca. 3%). In contrast, only Lens culinaris accession with yellow
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colored seeds (sample code LCY, Table 1) was found to be enriched in phytic acid at 3%
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among Lens specimens.
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Phytic acid is regarded as anti-nutrient forming chelates with mineral and protein and
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thereby decreasing their bioavailability. Albeit, recent research suggests that phytic acid and
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other inositol phosphates provide health benefits such as amelioration of heart diseases, and
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reduced risk of colon cancer.43 Variation in phytic acid levels exists among seed genotype in
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addition to cultivation i.e., climate and type of soil.43
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3.1.2.2. Alkaloids/nitrogenous compounds
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Lupin seeds are generally classified as either bitter or sweet based on their levels of toxic
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quinolizidine alkaloids.8 From a nutritional point of view, the alkaloid profile is crucial as
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significant adverse effects could result such as protein indigestibility and neurological
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disorders.44
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Two bitter Lupinus seeds were identified in this study mainly L. polyphyllus Lindl.
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‘Russell’ with highest alkaloid levels i.e., 13-hydroxy-lupanine (11%) and α-isolupanin (8%),
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followed by L. hispanicus Boiss. & Reutt. encompassing lupinine at ca. 14%. In contrast, L.
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angustifolius L. ‘Boltensia’ is regarded based on GC/MS results as a sweet lupin as it
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contains alkaloids at trace levels (0.2%). Interestingly, cadaverine a toxic diamine produced
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by the decarboxylation of lysine, and serving as precursor for quinolizidine alkaloids,45 was
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detected at its highest levels in Lens culinaris Medik. subsp. culinaris ‘Petite Rouge
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d’Egypte’, though with no downstream effect on the accumulation of lupanine alkaloids.
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Metabolic fate of cadaverine in Lens culinaris has yet to be revealed or its physiological role
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in its seeds.
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Eleven other nitrogenous compounds were detected in examined seed accessions
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amounting for 1-12% of the total monitored peaks. The major identified nitrogenous
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compound was ethanolamine, accounting for ca. 2.3% in the ‘Petite Rouge d’Egypte’ cultivar
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of Lens culinaris. Ethanolamines are derived from N-acylethanolamines, plant lipids with
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anti-inflammatory activity.46 Interestingly, another nitrogenous compound with potential anti-
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inflammatory activity detected include indole-3-acetamide, reported to inhibit phospholipase
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A2, was detected at considerable level (9%) in Lupinus hispanicus.47
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3.2. GC/MS- based multivariate data analysis of Lens & Lupinus seeds
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Untargeted GC/MS metabolite profiling was further performed in order to unveil the
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relative metabolites variation embedded within different Lens and Lupinus seed accessions
330
employing multivariate data analyses tools viz. hierarchical cluster analysis (HCA), principal
331
component analysis (PCA) and orthogonal projection to latent structures-discriminant
332
analysis (OPLS-DA). The un-decoded similarities and variabilities among specimens were
333
revealed first via (HCA) using the Ward's algorithm and evaluated based on the distances
334
between the clusters (the squared Euclidean distance). The reproducibility of the extraction
335
and analysis conditions were clearly evident from the tight clustering of the independent
336
biological triplicates within same seed accession as seen in Fig. 2-A.
337
HCA-driven dendrogram (Fig. 2-A) portrayed two main clusters; cluster “1a”, composed
338
of two species which are the sweet Lupinus angustifolius L. ‘Boltensia’ (LU_A) and Lens.
339
culinaris Medik. subsp. culinaris ‘Petite Rouge d’Egypte’ and cluster “1b” in which the rest
340
of the seed accessions was grouped altogether. The sample grouping in 1a cluster could be
341
ascribed to their diminished alkaloidal content concurrent with an enriched sugar profile.
342
Asides, the three lentil accessions LCBK, LCB, and LCY (Table 1) were distinctly clustered
343
in one sub-branch in cluster “1b” signifying their quite compositional resemblance. It should
344
be noted that overall HCA analysis failed to provide clear discrimination between the
345
specimens of the two genera Lens and Lupinus.
346
PCA model, another unsupervised ordination method but with different graphical
347
representation, was generated using same data matrix for discrimination between the different
348
seed accessions. The established model (Fig. 2-B & C) resulted in the formation of two
349
orthogonal PCs, which accounted for 53% of the total variance using only the first two
350
components, i.e., PC1, accounted for 36% of the variance versus 17% for PC2. The PC1/PC2
351
score plot (Fig. 2-B) shows that triplicates of Lens culinaris Medik subsp. culinaris ‘Petite
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Rouge d’Egypte’ and one of the three replicates of Lupinus hispanicus Boiss. & Reutt. were
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positioned on the far right side of the plot (positive PC1 values), whereas on the far left side,
354
most of specimens namely “Lens culinaris Medik. subsp. culinaris ‘verte du Puy’ (brown
355
colored), L. culinaris Medik. subsp. culinaris (yellow colored), L. culinaris Medik. subsp.
356
culinaris ‘Black Beluga’ and Lupinus angustifolius” were located (negative PC1 values). The
357
separation observed in PCA can be explained in terms of the annotated metabolites, using the
358
loading plot (Fig 2-C). MS signals for melibiose, having a positive effect on PC1, contributed
359
the most to the discrimination between examined seed accessions which appeared to be more
360
enriched in the LCO lentil samples, Table 1. The separation of Lupinus hispanicus Boiss. &
361
Reutt. samples (Fig. 2-B) along PC2 can be explained in terms of its enrichment in 1H-
362
indole-3-acetamide and lupinine alkaloid, contributing (negatively) to PC2. The segregation
363
observed in the score plot can mostly be ascribed for seeds enrichment in sugars and
364
alkaloids. However, it should be noted that this PCA model was still not efficient in neither
365
capturing the maximal variability embedded within the studied specimens nor discriminating
366
between Lens and Lupinus samples at the genus level.
367
Supervised orthogonal projection to latent structures discriminant analysis (OPLS-DA)
368
was thus employed by modelling all seed accession replicates in one group to build a
369
classification model for achieving better (species) separation. OPLS-DA also has a greater
370
potential in the identification of markers by providing the most relevant variables for the
371
differentiation between two sample groups. The developed model (Fig. S2) showed a better
372
samples separation, though with low R2 (0.279) and Q2 (0.063) values indicating the weak
373
prediction power of this model.
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OPLS-DA score plot (Fig S2-A) revealed that Lens accession LCO (Table 1) are
375
clustered in one distinct group. Whereas, other three Lens accessions were closely grouped on
376
the left side. Such scattering is attributable to their enrichment in α-D-glucose and sucrose as
377
depicted from their loading plot (Fig. S2-B), and is in agreement with HCA results (Fig. 2-
378
A). The OPLS model suggests that melibiose enrichment can be regarded as a marker for
379
discriminating LCO from the other lentil accessions. Another improvement in samples
380
classification was observed in the dendrogram derived from OPLS analysis (Fig. S2-C),
381
being successful in grouping all the Lupinus species in one cluster “1c”, that is separately
382
from Lens specimens.
383
Another OPLS-DA modelling was performed in which the Lens and Lupinus species
384
were modelled against each other and with the derived score plot showing a clear separation
385
between both samples this time with optimal prediction parameters “R2 (0.9149) and Q2
386
(0.794)”. The derived score plot (Fig. 3-A) depicted a clear discrimination between both
387
species.
388
The observed sample segregation was ascribed to sugars viz. α-D-glucose, D-
389
Glucopyranose, 4-O-[β-D-galactopyranosyl] and α-amyrin enrichment in Lens versus the
390
abundance of citric acid and lupinine alkaloid in Lupinus specimens as revealed from the
391
corresponding S-plot (Fig. 3-B). The alkaloid lupinine can be regarded as a chemotaxonomic
392
marker for Lupinus being almost absent in Lens specimens examined. The positive
393
correlation of citric acid and lupinine in Lupinus accessions suggest that it functions to
394
solubilize it forming a lupinine citrate salt inside the seeds.
395
In conclusion, the subtle compositional heterogeneity and nutritional quality traits of the
396
examined seed accessions of Lens and Lupinus were explicated through a holistic untargeted
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approach. The study revealed the most nutritionally valuable seed accessions as follows: the
398
two “Old World lupin Species” Lupinus hispanicus Boiss. & Reutt. (due to its rich
399
compositional profile with free amino, organic acids, and nitrogenous compounds viz. indole-
400
3-acetamide with the latter reported anti-inflammatory activity), and L. angustifolius L.
401
‘Boltensia’ with trace levels of the anti-nutrient quinolizidine alkaloids concurrent with a
402
rather moderate level of amino acids and peptides, and highest sucrose levels. With regards to
403
Lens seeds, the two dark colored Lens culinaris cultivars ‘verte du Puy’ and ‘Black Beluga’
404
were found to possess the most abundant peptide levels and “α-amyrin” triterpene, posing
405
them to likely exhibit antioxidant and anti-inflammatory effects and lacking any alkaloids.
406
It should be noted that the only one examined “New World lupin Species” Lupinus
407
polyphyllus Lindl. ‘Russell’ was revealed to possess the highest levels of toxic alkaloids and
408
least nutritive and deprioritizing it for further breeding programs. The presence of such anti-
409
nutrients in large quantities might have a negative impact on seeds palatability and moreover
410
decrease their human consumption, aside from their reported neurotoxicity.
411
Chemometric tools employed herein were found efficient in pointing out to the species-specific
412
metabolite markers, for example triterpene was regarded as being differentiating metabolites for
413
Lens culinaris specimens versus lupinine alkaloid abundance in Lupinus.
414
Differentiation of the “New World lupine Species” L. polyphyllus Lindl. ‘Russell’ from the
415
other three closely related Old World members of the genus Lupinus, was not achieved
416
suggesting that the metabolic differences arising from the geographical distribution might be
417
obscured due to the recent domestication and/or cultivation traits. We do admit that our
418
selection of Lupinus and Lens resources only covers a small subset of their worldwide
419
diversities, but our approach is certainly feasible for analyzing samples from such further
420
sources. Our approach can also be further applied for exploring other factors on legume
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metabolites composition, as for instance, seasonal variation, processing method and or
422
storage conditions.
423
ACKNOWLEDGMENTS
424
Prof. Mohamed A. Farag wishes to thank the American University of Cairo Research Support
425
Grant (RSG1-18) and Alexander von Humboldt foundation, Germany for the financial
426
support.
427
CONFLICT OF INTEREST
428
Authors declare no actual or potential conflict of interest including any financial, personal or
429
other relationships with other people or organizations.
430
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571
Tables & Figures
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Table 1: Origin of Lens and Lupinus seed accessions used for metabolites analyses. All accessions
573
are permanently stored at the Department of Bioarchaeology at the Austrian Archaeological
574
Institute (ÖAI), and are accessible on request. Seed providers: Botanischer Garten der Universität
575
Basel, Switzerland (BAS), Jardim Botânico da Universidade de Coimbra, Portugal (COI),
576
Hohenheimer Gärten, Germany (HOH), Alpengarten Patscherkofel und Botanischer Garten
577
Innsbruck, Austria (IB), MARAP HandelsgesmbH, Vienna, Austria (MRP), and Vollkraft
Country of
ÖAI
origin
accession
Sample Species and cultivar
Provider
code number LCB
Lens culinaris Medik. subsp. culinaris ‘verte du Puy’ (brown
Austria VKR
2827
colored seed)
LCO
Lens culinaris Medik. subsp. culinaris ‘Petite Rouge d’Egypte’
MRP
Austria
2376
LCY
Lens culinaris Medik. subsp. culinaris (yellow colored seed)
BAS
Switzerland
555
Lens culinaris Medik. subsp. culinaris ‘Black Beluga’
MRP
Austria
2375
LU_PO
Lupinus polyphyllus Lindl. ‘Russell’
HOH
Germany
510
LU_A
Lupinus angustifolius L. ‘Boltensia’
IB
Austria
649
LU_L
Lupinus luteus L.
IB
Austria
1325
LU_H
Lupinus hispanicus Boiss. & Reutt.
COI
Portugal
2872
LCBK
578
Naturnahrung Handels und Produktions GmbH, Grimmenstein, Austria (VKR).
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Table 2: Relative percentile of silylated primary and secondary metabolites in Lens and Lupinus seed accessions as analyzed via GC/MS n= 3. Different letters indicate significant differences between seed specimens according to least significant difference analysis (LSD)
Peak
RT
#
(min)
L.culinaris, KI
Metabolites
brown colored (a)
L. culinaris, Petite Rouge d’Egypte (b)
L.culinaris,
L.culinaris
yellow
Black
colored (c)
Beluga (d)
0.6
0.1
L.polyphyllus (e)
L.angustifolius (f)
L.luteus (g)
L.hispanicus (h)
0.1
0.4
0.1
Acids
G1
5.65
1019
Carbamic acid (TMS) Lactic
G2
6.39
1055
acid(2TMS)oxy -, ester Methyl 2-ethyl
G3
6.66
1067
malonate (TMS)
G4
6.84
1076
G5
9.87
1203
G6
10.77
1238
G7
12.73
1315
Acetic acid (2TMS) Malonic acid
0.3
0.1 (0.01)
b
(0.04)a,c,d,e,f,g, h
(0.6)
b
(0.01)
0.1 b
(0.02)
b
(0.03)
b
b
(0.2)
(0.01)b
0.2
0.3
0.2
0.2
0.2
0.2
0.3
0.2
(0.1)g
(0.02)
(0.1)g
(0.02)g
(0.04)g
(0.0)
(0.2)a,c,d,e,h
(0.01)g
tr.
tr.
tr.
tr.
0.2
tr.
tr.
tr.
e
e
e
e
e
-e
-
-
1.2
0.1 (0.01)
-
b
(1.01)a,c,d,e,f,g, h
b,c,d.f.g.h
-
0.1
(0.1)
0.1
(0.03)
b
(0.01)
0.1 b
-
-
0.1
(0.01)
b
0.2
b
0.1 b
(0)
(0.1)
(0.01)b
0.4
0.2
0.14
0.3
1.8
0.2
0.2
0.6
(0.1)e
(0)e
(0.1)e
(0.1)e
(0.8)a,b,c,d,f,g,h
(0.03)e
(0.04)e
(0.3)e
0.2
2.1
0.3
0.4
0.4
0.3
0.2
0.2
oxy (3TMS)
(0.1)
(0.3)
(0.1)
(0.03)
(0.1)
(0.1)
(0.04)
(0.01)
Succinic acid
0.1
1.0
0.3
0.1
0.2
0.3
0.6
0.5
(2TMS) Carbamic acid,
(2TMS)
(0.04)
b
(0.4)
a,c,d,e,f,g,h
(0.2)
b
(0.01)
b
ACS Paragon Plus Environment
b
(0.2)
(0.01)
b
b
(0.3)
(0.04)b
Page 27 of 42
Journal of Agricultural and Food Chemistry
G8
12.99
1324
G9
13.64
1350
G10
14.92
1399
Methyl succinic
0.1
0.8
0.1
0.1
0.4
0.1
0.2
0.1
acid (2TMS)
(0.01)b
(0.1)a,c,d,f,h
(0.04)b
(0.01)b
(0.6)
(0)b
(0.2)
(0.02)b
Fumaric acid
tr.
tr.
tr.
tr.
tr.
tr.
tr.
-
-
-
-
-
-
-
-
tr.
tr.
-
-
(2TMS)
-
-
Methylmaleic
tr.
acid (2TMS)
-
tr.
-
-
0.2
0.51
tr.
0.2
tr.
tr.
0.2
0.3
(0.04)
(0.4)e,c,f
-b
(0.01)
-b
-b
(0.1)
(0.1)
tr.
0.1
tr.
0.1
tr.
tr.
0.1
0.1
-
g
-
3.3
1.8
-
3,4G11
15.72
1431
Dihydroxybuta noic acid (3TMS)
G12
16.60
1467
G13
17.08
1486
G14
18.40
1541
G15
18.85
1560
Hydroxymaloni c acid (3TMS) Malic acid (3TMS) L-Threonic acid (3TMS) L-Threonic acid (3TMS) α-
G16
19.19
1574
Hydroxyglutari c acid (3TMS)
G17
19.78
1598
-
(0.01)
1.4 (0.1)
c,f
0.9 e
tr. 0.2 (0.01) tr. -
(0.1)
-
b,g
(0)
1.1 e
-
-
-
(0.3)
1.4 e
(0.2)
e
(1.1)
a,b,c,d,f,g
(0.3)
(0.04)
c,f
0.8 e
(0.5)
(0.01) 2.3
e
(0.3)
tr.
tr.
tr.
tr.
tr.
tr.
-
-
-
-
-
-
0.2
0.3
0.1
0.1
0.1
(0.03)
(0.14)
(0)
0.1 (0.1)
e
c
(0.01)
(0.13)
tr.
tr.
0.1
tr.
0.1
0.1
-
-
(0.02)
-
(0.2)
(0.01)
3-Hydroxy-3-
0.1
0.3
0.1
0.1
0.1
0.1
0.5
0.12
methylglutaric
(0.04)
(0.2)
(0.02)
(0.01)
(0.1)
(0.02)
(0.8)
(0.1)
ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
Page 28 of 42
acid (3TMS) G18
23.11
1748
G19
24.56
1815
Trans-Aconitic acid (3TMS) Citric acid (4TMS)
Total acids
0.1 (0.03)
h
3.8
0.1
-
(0.1)
0.01
(0.5)
(0)
0.1 h
1.6
e,h
(1.4)
e,h
0.1
0.1
(0.02)
(0.1)
(0.03)
3.0
6.7
5.1
(0.1)
b,c,g
(1.4)
h
tr.
0.2
-
(0.03)a,c,f
1.18
(0.01)
(2.03)
e,h
6.9 (0.68)b,c,g
6.9
7.6
4.6
6.3
14
8.5
4.9
11.7
tr.
tr.
1.4
tr.
tr.
tr.
tr.
tr.
-
-
(0.3)f
-
-
-c
-
-
0.5
1.3
0.1
0.1
0.3
0.6
1.2
0.3
(0.4)g
(0.1)c
(0.1)g,b
(0.1)
(0.04)g
(0.5)g
(1.4)a,c,e,f,h
(0.1)g
tr.
tr.
tr.
tr.
tr.
tr.
c
b
Alcohols G20
5.28
1001
G21
7.88
1122
G22
G23
10.88
11.66
1242
1273
1,2-Propanediol (2TMS) Ethylene glycol (2TMS) Diethylene
0.1
tr.
(0.01)a,c,d,e,f,g,
b,c
glycol (2-TMS)
-
Glycerol
0.2
0.1
(3TMS)
(0.1)
(0)
h
a,b,d,f,h
-
b,c
-
b
-
-b,c
-
-
1.1
0.3
0.2
0.3
0.6
1.6
(0.4)
(0.01)
(0.04)
(0.1)
(0.5)
(0.3)
0.4
0.03
0.1
0.1
0.1
0.2
1,2G24
22.02
1698
Propanediol-1phosphate
0.1 (0.03)
c
-
(0.4)
a,e,f,g,h
(0)
c
(0.1)
c
(0.01)
c
(0.2)
c
(0.04)c
(3TMS) GlycerylG25
33.85
2284
glycoside (TMS)
1.4 b,c,f,g,h
(0.2)
0.04 (0)
a,d
0.5 (0.4)
a,d
1.1 (0.01)
b,e,f,g,h
ACS Paragon Plus Environment
0.1 (0.03)
0.1 a,d
(0)
a,d
0.1 (0.1)
a,d
0.1 (0.01)a,d
Page 29 of 42
Journal of Agricultural and Food Chemistry
Total alcohols
2.2
1.5
3.5
1.9
0.7
1.2
2.0
2.2
Lupinine
-
-
-
-
tr.
tr.
0.2
6.2
-
-
(0.2)
(0.7)
Lupinine
tr.
tr.
h
-
-
h
tr.
tr.
tr.
4.3
7.3
h
-
h
-
h
-
(4.3)
tr.
tr.
tr.
tr.
7.9
tr.
0.1
tr.
-e
-e
-e
-e
(2.2)a,b,c,d,f,g,h
-e
(0.2)e
-e
tr.
tr.
0.3
-
-e
-e
(0.2)a,c,d
-
-
Alkaloids G26
17.08
1476
G27
17.47
1502
G28
32.63
2222
G29
34.99
2342
G30
35.76
2381
isomer α-Isolupanine
-
37.80
2485
(0.8)a,b,d,e,f,g
α-Isolupanine
tr.
isomer
-e
13-Hydroxy-
tr.
tr.
tr.
tr.
10.3
0.1
tr.
tr.
lupanine (TMS)
-e
-e
-e
-e
(3.2)a,b,c,d,f,g,h
(0.1)e
-e
-e
-
-
-
-
0.4
tr.
(0.2)
-
-
-
tr.
tr.
tr.
tr.
18.9
0.2
4.6
13.5
0.2
0.5
-
13-HydroxyG31
h
lupanine (TMS) isomer
Total alkaloids
Amino acids G32
7.42
1103
G33
10.13
1213
L-Alanine, N(2TMS) L-Valine, N(2TMS)
0.3 (0.1)
0.2 h
(0.04)
0.1
tr.
(0.04)
h,d
-
0.3 h
(0.2)
0.3 h
0.1 (0.1)
(0.01)
h
0.1 (0)
b
ACS Paragon Plus Environment
(0.1)
h
(0.1)
0.2 h
(0.2)
1.2 h
(0.2)a,b,c,d,e,f,g
0.1
0.1
0.1
0.1
(0.03)
(0)
(0.1)
(0.03)b
Journal of Agricultural and Food Chemistry
G34
11.21
1255
G35
11.46
1265
G36
12.14
1291
G37
12.42
1302
G38
14.49
1383
G39
15.48
1422
G40
15.53
1424
G41
17.84
1517
Serine (2TMS) Pipecolic acid
18.44
1543
19.40
1583
G44
19.66
1594
tr.
tr.
tr.
tr.
0.1
0.1
-
(0.2)
-
-
-
-
(0.1)
(0.01)
tr.
tr.
tr.
tr.
0.8
0.1
0.1
0.8
e,h
e,h
e,h
e,h
L-Threonine
Glycine (3TMS)
tr.
tr.
tr.
tr.
0.1
tr.
0.1
g,h
h
-
h
-
h
-
h
b
-
(0.02)a,b,c,d,e,f
0.2
0.2
0.1
0.3
0.2
0.5
(0.01)
(0.2)
(0.2)b,e
0.1 (0.03)
L-Threonine
tr.
(3TMS)
-
l-Aspartic acid
0.4
(2TMS)
(0.1)
L-lysine
tr.
(3TMS)
-
L-Proline, 5oxo-1-(2TMS)
Phenylalanine
L-Asparagine (2TMS) L-Asparagine (2TMS)
f
h
(0) h
(0.1)
(0.1)a,b,c,d,f,g
h
0.2
(0.02)
h
tr.
-
(0.1)
e,h
-
-
-
a,b,c,d,f
-
(0.1)
(TMS) G43
0.3
-
LG42
tr.
(TMS)
(TMS)
Page 30 of 42
(0.1)
(0.02)
(0.04)
tr.
tr.
tr.
tr.
tr.
tr.
tr.
-
-
-
-
-
-
-
tr.
0.7
h,d
(0.3)c,e,f,g
0.2
-
(0.3)
-
0.5 h
(0.02)
0.2 g
(0.2)
0.2 h
(0.02)
h
-
tr.
tr.
tr.
tr.
tr.
0.1
-
-
-
-
-
(0.02)
1.4
0.01
0.3
0.7
0.4
1.7
0.2
0.4
(1.2)
(0)
(0.3)
(0.1)
(0.2)
(0.4)
(0.2)
(0.1)
0.1
tr.
tr.
tr.
tr.
0.5
h
h
h
h
-
(0.4)a,c,d,e,f,g
0.1
0.1
(0.1)
(0.1)b
tr.
0.2
a
(0.3)
0.1 (0.01)
h
0.1 (0.01) 0.2 (0.13)
b,e,g
-
(0.1)
0.6 (0.2)
c,d,e,f,h
0.01 (0)
a
h
-
-
0.1
0.1
b
b
(0)
0.1 (0.1)
(0)
0.1 (0.02)
0.2
tr.
(0.01)
a
ACS Paragon Plus Environment
-
-
0.1 b
(0.01) -
b
-
Page 31 of 42
Journal of Agricultural and Food Chemistry
G45
20.21
1618
G46
21.30
1666
Glutamic acid (3TMS)-I L-Asparagine (2TMS)
Total amino acids
0.6
-
(0.6) 0.2
-
(0.2)
0.2
1.04
0.2
0.2
(0.2)d
(0.2)c,e,f,h
(0.2)d
(0.2)d
tr.
0.2
-
(0.01)
-
-
tr.
-
-d
tr.
tr.
-
-
3.4
1.2
1.6
3.3
2.2
3.3
0.9
4.8
0.5
0.8
0.1
0.2
0.1
0.2
1
0.2
(0.6)
(0.1)
(0.1)
(0.01)
(0.01)
(0.03)
(0.9)
(0.04)
tr.
tr.
tr.
tr.
tr.
tr.
a
-
a
-
a
-
-
a
a
-
-
0.1
0.2
0.2
0.2
1
0.2
0.5
0.3
0.3
0.4
0.4
Aromatic Benzaldehyde, G47
13.81
1357
4-hydroxy, oxime (2TMS) p-
G48
20.34
1623
Hydroxybenzoi c acid (TMS)
Total aromatics
0.1 (0.04)
-
c,d,e,f,g
0.6
0.8
0.2
0.1
Fatty acids Hexadecanoic G49
29.12
2043
acid (TMS) Linoleic acid
G50
32.11
2199
(TMS) Oleic acid
G51
32.22
2201
(TMS) Stearic acid
G52
32.69
2224
(TMS)
G53
34.36
2310
Oxylipin
(0.04)
(0.01)
0.1 (0.02)
tr. g,h
c,g,h
-
0.2 (0.02)
tr. g,h
0.1 (0.01) -
g,h
g,h
(0.4)
(0.03)
(0.1)
(0)
(0.4)
(0.04)b
0.3
0.2
0.2
0.2
0.3
0.7
b,h
(0.2)
0.5
c,g,h
(0.3)
0.04
0.1
-
(0) -
g,h
0.7
0.2 b
(0.03) -
(0.01)
h
0.3
(0.02)
h
0.1 g,h
(0.01)
(0.03)
g,h
(0.1)
0.3
g,h
0.1 g,h
-
ACS Paragon Plus Environment
(0.04) 0.4
(0.1)
g,h
(0.1)
g,h
0.1 g,h
(0) -
g,h
b
(0.2)
a,b,e,f
0.4 (0.3)
a,b,e,f
0.2 (0.2)
a,b,c,d,e,f
-
(0.04)a,b,c,d,e,f 0.6 (0.04)a,b,d,e,f 0.3 (0.02)a,b,c,d,e,f -
Journal of Agricultural and Food Chemistry
Page 32 of 42
(0.2) 1Monopalmitin G54
38.27
2508
(TMS)
Total fatty acids
0.1 (0.01)
b
0.6
tr.
tr.
0.1
a,c,d,e
b,f
-
(0)
b
0.2
1.4
0.9
1.3
tr.
0.5
2.2
0.5
-
0.1 (0.02)
0.1 b
tr.
tr.
-
-
1.04
1.4
2.3
1.1
0.4
(0.02)
c
Inorganics Phosphoric acid G55
9.18
1175
(2TMS)
d
(0.2)
(0.6)
(0.3)b
5.8
1.5
2.4
5.7
9.7
(3.4)a,b,d,e,f
(0.2)c,g
(0.8)b,c,g
(0.03)c,h
(7.2)b,d,h
(2)a,b,e,f,g
0.1
4.1
8.01
2
3.5
6.03
11.1
0.3
2.3
0.3
0.7
0.3
1.1
0.9
0.6
(2TMS)
(0.3)b
(0.7)a,c,d,e,f,h
(0.3)b
(0.1)b
(0.1)b
(0.3)b
(1.01)
(0.1)b
(3TMS)
0.1
2.2
0.1
0.2
0.2
0.42
0.3
0.3
(0.1)b
(0.4)a,c,d,e,f,g,h
(0.1)b
(0.02)b
(0.12)b
(0.2)b
(0.5)b
(0.02)b
tr.
tr.
tr.
0.1
tr.
tr.
-
d
d
-
d
-
(3TMS) 11.57
1269
phosphate
Total inorganics
d,h
(0.4)
3.7
0.1
3.6
(0.6)c,h
(0)c,e,g,h
4.8
(0.5)
-
d
(0.1)
a,b,c,e,f,g
d,b
d
1.4
(0.3)
monomethyl
G56
1.1
d
Nitrogenous compounds G57
7.17
1091
G58
7.65
1112
G59
10.99
1247
Ethanolamine
hydroxylamine Urea (2TMS) Silanamine
G60
11.40
1262
trimethyl-N(TMS)-N-[2-
d
-
0.1 (0.01)h
-
-
(0.01)
a,c,e,f,h
-
tr. -d
tr.
0.1
0.1
0.2
0.2
0.6
-h
(0)h
(0.04)h
(0.01)h
(0.3)h
(0.2)a,c,d,e,f,g
ACS Paragon Plus Environment
Page 33 of 42
Journal of Agricultural and Food Chemistry
[(TMS)oxy]eth yl]G61
13.39
1340
G62
13.90
1359
Phenylethanola mine (3TMS) Pipecolinic acid (2TMS) α-
G63
14.56
1385
Aminoisobutyri c acid (3TMS)
G64
19.52
1588
0.1
0.1
0.4 b
(0.1)
(0.1)
a,c,d,e,f,g
(0.1)
0.01
-
(0)
0.1 b,g
(0.1)
-
h
a,c,d,e,f,g,h
(0.02)
0.1 b
b,g
(0.1)
-
0.1 b
22.91
1739
(0.1)
(0.1)
(0.01)
0.01
0.1
(0)
0.2 b
0.1 b
h
(0.01)b,e,g
0.2
(0.02)
b
(0.2)
0.1
a,b,c
(0.01)b
Cadaverine
tr.
0.3
tr.
0.1
tr.
0.1
0.1
0.1
(4TMS)
-b
(0.1)a,c,d,e,f,h
-b
(0.01)b
-b
(0.02)b
(0.1)
(0.01)b
-
-
-
-
-
-
0.2
0.2
1H-Indole-3G65
(0.02)
0.1 b
-
h
0.1 (0.01)
(0.03)
0.2 b
tr.
-
0.1
0.4 (0.1)
0.2 b
acetamide
0.1 (0.02)
(TMS) G66
38.18
2504
Uridine (TMS)
G67
18.03
1525
GABA (3TMS)
Total nitrogenous compounds
(0) 0.6 (0.4) 1.5
(0.1)
0.3 h
5.9
(0.04)
d,f,g,h
0.1 (0.01)
h
0.2 c
(0.02)
0.2 h
(0.1)
9.3 (1.3)e
0.1 c
(0.03)
0.1 c
(0.01)b,c,e
0.3
0.7
0.4
0.3
0.5
1.1
(0.3)
(0.02)
(0.32)
(0.01)
(0.8)
(0.2)
1.2
2.2
1.4
2.6
2.4
12.4
tr.
tr.
tr.
-a,d
-c,e
-a,d
-
-
-
0.5
1.3
0.7
0.5
0.3
0.2
Peptides G68
17.73
1513
G69
18.15
1531
Cys-Gly
tr.
(3TMS)
-c,e
Glycyl-l-
1.1
0.01
ACS Paragon Plus Environment
Journal of Agricultural and Food Chemistry
glutamic acid
Page 34 of 42
(0.8)
(0)d
(0.5)
(0.1)b
(0.6)
(0)
(0.42)
(0.04)
0.6
tr.
0.4
0.5
tr.
tr.
0.1
0.2
(2TMS) G70
21.82
1689
G71
25.69
1870
Ser-Leu (2TMS)
(0.1)
c,d,g,h
-
(0.3)
a
(0.02)
a,e,g
-
-
(0.04)
a,d
(0.1)a
Ala-Thr
0.1
tr.
0.1
0.2
tr.
tr.
tr.
tr.
(2TMS)
(0.03)
-
(0.1)
(0)
-
-
-
-
1.7
0.1
1.02
1.9
0.7
0.6
0.4
0.4
0.1
tr.
0.1
0.1
tr.
0.1
0.1
0.1
(0.01)b
-a,c,d,g
(0)b
(0.02)b,e,f,g
-d,g
(0.03)d
(0.03)b,d,e
(0.01)
5.8
2.2
3.2
4.1
2.03
0.9
3.3
1.3
(0.3)e,f,g,h
(0.2)
(2.9)
(0.4)
(1.6)a
(0.2)a
(2.9)a
(0.01)a
5.9
2.2
3.3
4.2
2.1
1
3.4
1.3
tr.
0.06
tr.
tr.
tr.
tr.
tr.
0.1
b,h
b,h
-
h
-
h
-
(0.01)a,c,d,f,g
Total peptides Sterols/triterp enes G72
48.63
3036
G73
49.82
3096
β-Sitosterol (TMS) α-Amyrin (TMS)
Total sterols/triterpenes Sugars G74
17.38
1498
G75
17.56
1506
G76
19.29
1579
G77
21.91
1693
L-Threitol
b,h
(4TMS)
-
Meso-Erythritol
tr.
(4TMS)
-
Xylulose
tr.
(4TMS) Xylitol (5TMS)
e
-
tr. -
(0.03)
a,c,d
-
-
0.06
tr.
tr.
0.1
tr.
tr.
0.1
(0.03)
h
-
-
(0.03)
-
-
(0.01)c
-
-
-
0.1
tr.
tr.
e
-e
tr.
tr.
0.03
tr.
tr.
tr.
-
-
(0.02)
-
-
-
-
ACS Paragon Plus Environment
(0.01)
a,f,g
-
-
Page 35 of 42
G78
Journal of Agricultural and Food Chemistry
22.42
1717
D-Arabitol
tr.
tr.
tr.
tr.
0.5
tr.
tr.
0.1
(5TMS)
-
-
-
-
(0.8)
-
-
(0.02)
tr.
tr.
tr.
tr.
-
-
-
-
2-Keto-lG79
23.09
1747
gluconic acid (5TMS)
tr.
-
-
tr.
-
-
α-DG80
24.63
1818
Glucopyranosid e, methyl
17.03 (1.2)
tr.
e,f,g,h
-
13.3 (3.2)
e,f,g,h
17.6 (0.4)
e,g,h
1.2 (0.8)
4.6
a,c,d
(0.3)
a,c
1.8 (1.8)
1.2
a,c,d
(0.2)a,c,d
(4TMS) G81
24.76
1825
G82
26.67
1923
G83
26.89
1930
G84
26.97
1933
G85
27.16
1943
G86
27.24
1947
G87
27.89
1980
D-Pinitol
1.7
(5TMS)
(0.03)
D-Sorbitol
tr.
(6TMS)
-
D-Sorbitol (6TMS) Fructose oxime (6TMS) Fructose oxime (6TMS) Myo-Inositol (6TMS) DGlucoseoxime
-
-
1.1
2.5
1.2
0.3
1.8
0.7
(0.2)g
(0.1)f,h
(0.3)
(0.04)d,g
(2)c,f,h
(0.1)d,g
tr.
tr.
0.3
tr.
0.6
tr.
-
-
(0.5)
-
(1)
-
0.1
0.02
0.1
0.1
0.2
0.1
0.3
0.1
(0.01)
(0)
(0.03)
(0)
(0.2)
(0.01)
(0.4)
(0.1)
tr.
0.1
0.2
tr.
0.2
0.1
0.1 (0.02)
-
g
0.1
-
(0.01) 0.1 (0.02)
-
f,g
tr.
0.3 b
(0.1)
a,g
-
-
(0)
g
(0.3)
0.1
0.1
0.2
0.4
0.4
0.1
(0.02)
(0)
(0.3)
(0.01)
(0.2)
(0.01)
0.1
0.2
0.1
0.7
0.7
0.3
(0)
f,g
0.1 (0.03)
(0)
f,g
0.2 (0.02)
ACS Paragon Plus Environment
g
f,g
(0.1)
0.2 (0.2)
-
(0.04)
a,c,d,e,g,h
0.1 (0)
(0.2)
(0.4)
a,d,e
a,c,e,f,h
0.2
(0.01)
(0.01)f,g tr.
b
(0.2)
-
Journal of Agricultural and Food Chemistry
Page 36 of 42
(6TMS) G88
28.05
1988
G89
28.43
2008
D-Gluconic acid (6TMS) Glucose oxime (6TMS)
0.1
tr. -
b,f
a,d,g
-
-
-
(0.02) 0.1 (0.02)
0.04
h
g,h
(0.03)
tr.
tr.
-
0.1 h
28.99
2040
methyloxime
-
29.81
2079
G92
34.89
2337
Myo-Inositol (6TMS)
35.41
2362
0.01 (0)
2478
39.00
2546
40.66
2630
(0.2)
e
(0.1)
-
a
-
-
0.6
2.1
(0.3)
a,c,d,h
(0.1)
0.1
tr.
b,h
(0.1) tr.
2.2 (1.1)
-g
-
-
c,h
(0.03)a,b,c,e,g
3.1 h
(0.1)e,f,g
0.2
0.1
tr.
0.2
0.1
acid (5TMS)
(0.01)
(0.1)
(0.1)
(0.1)
(0.01)
-
(0.3)
(0.04)
0.2
tr.
tr.
0.1
tr.
0.1
0.1
a,d,e,h
d
a,d
(0.1)
(0)b,d
phosphate
(0.01)
b,c,d,e,f
-
-
0.3 (0.01)a,b,c,e.f, h
(0.02)
a,b,d
-
0.2
0.2
0.2
0.3
0.1
0.1
0.1
0.1
(0.1)e,f,h
(0.1)h
(0.02)
(0)e,f,g,h
(0.02)a,d
(0.03)a,d
(0.03)d
(0.02)a,b,d
Sucrose
20.1
0.1
23.6
17
15.8
40.2
14.5
8.5
(8TMS)
(2.1)
(0.03)f
(4.3)
(0.1)
(5.1)
(0.8)b
(11.5)
(0.5)
6.5
1.1
7.7
8.04
2.5
1.2
1.3
1.8
Mannobiose
DG96
2.7
tr.
(0.2)
0.2
(8TMS) G95
(0.5)
e,f
0.1
0.7
b,h
0.2
3-α37.66
3.01
(0.02)
0.1 h
0.6
(7TMS)
G94
(0.1)
-
e
b
0.1 h
D-Glucuronic
D-Myo-Inositol G93
2.6
(0.01)
(0.01)
(8TMS) G91
(0) 0.1
Maltose G90
0.1
Glucopyranose, 4-O-(4TMS)-β-
b,d,e,f,g,h
(1.1)
(0.4)
a,e,f,g,h
(1)
e,d,f,g,h
(0.1)
a,c,e
ACS Paragon Plus Environment
(1.1)
a,b,c,d
(0.4)
a,b,c,d
(0.9)
a,b,c,d
(0.4)a,b,c,d
Page 37 of 42
Journal of Agricultural and Food Chemistry
Dgalactopyranos yl] (4TMS) G97
41.81
2689
G98
42.12
2704
G99
42.43
2719
G100
43.11
2755
G101
43.29
2783
G102
43.80
2790
G103
45.76
2889
G104
49.31
3070
G105
49.36
3085
Total sugars
Galactinol (6TMS) D-Turanose (7TMS) Galactinol (9TMS) D-Lactose (8TMS) D-Lactose (8TMS) Galactinol (9TMS) Melibiose (8TMS) Galactinol
1.7
1.3
(0.3)
g
2.1
(0.5)
0.1
0.7
(0.04)
(0.6)
c,e,f
1.4
2.4
f,g,h
(0.1)
(0.03)
tr.
0.1
f,g,h
0.4
(0.6)
(0.2)
0.1
b
-
(0.01)
(0.01)
b
0.5
c,d
(0.2)
0.9
a,c,d
(0.2)c,d
tr.
0.1
0.1
b
-
(0.01)
(0.02)
0.2
1.9
0.3
0.3
0.4
0.3
0.2
0.2
(0.1)b
(0.9)a,c,d,e,f,g,h
(0.02)b
(0.03)b
(0.2)b
(0.1)b
(0.04)b
(0.1)b
0.3
3
0.3
0.3
0.5
4.7
3.1
1.6
(0.1)
(1.8)
(0.01)
(0.02)
(0.3)
(0.6)
(1.5)
(0.2)
0.5
3.2
0.6
0.5
0.5
4.8
3.1
1.6
(0.1)
(2)
(0.04)
(0.03)
(0.3)
(0.5)
(1.5)
(0.2)
0.7
2.5
0.9
0.6
0.3
0.9
2.1
1.3
(0.3)b
(1.4)a,c,d,e,f,h
(0.1)b
(0.02)b
(0.1)b
(0.1)b
(1.8)
(0.2)b
1
45.9
7.7
0.6
6.2
0.5
17.7
b
(0.2)
(3.1)
a,c,d,e,f,g
(7.4)
b
(0.1)
b
(9.03)
b
b
(0.1)
(15.9)
1.3 b
(0.4)
2.4
10.1
2.9
2.8
3.1
2.9
6.04
2.6
(9TMS)
(2.4)
(1.2)
(1.7)
(1.8)
(3.8)
(0.7)
(2.9)
(0.5)
Unknown
15.7
10.1
14.8
13.9
20.6
13.3
15.9
disaccharide
(2.02) 72.4
b
(6)
a,c,d,e,f,g,h
80.3
(1.4)
b
79.1
(0.8)
b
71
Unknowns
ACS Paragon Plus Environment
b
(5.5)
b
(1.4)
(12.3)
56.6
78.04
73.1
13.5 b
(11.1)b 40.2
Journal of Agricultural and Food Chemistry
G106
13.07
1328
Unknown
G107
22.53
1721
Unknown
0.1
tr.
0.1
tr.
tr.
tr.
tr.
-
(0.03)d
-
(0.01)b,e,f,g,h
-d
-d
-d
-d
tr.
0.03
-
(0)
-
-
-
Total
a
tr.
tr.
Total unknowns
Page 38 of 42
-
tr. -
0.1
0.1
0.1
0.1
tr.
tr.
tr.
0.1
100
100
100
100
100
100
100
100
(LCB) Lens culinaris Medik subsp. culinaris “verte du Puy” brown colored seed; (LCO) L. culinaris Medik subsp. culinaris “Petite Rouge d’Egypte”; (LCY) L.
culinaris Medik subsp. culinaris yellow colored seed; (LCBK) L. culinaris Medik subsp. culinaris “Black Beluga”; (LU_PO) Lupinus polyphyllus Lindl “Russell”; (LU_A) L. angustifolius L. “Boltensia”; (LU_L) L. luteus L.; (LU_H) L. hispanicus Boiss & Reutt. b
-
(-): absent. c Tr.: Present at trace level < 0.05. Bold numbers: indicate the highest percentile levels of the different seed metabolites. Results are average of 3 independent biological replicates ± (std. deviation).
a–h Different letters indicate significant differences between seed specimens according to least significant difference analysis (P < .05; Tukey's test).
ACS Paragon Plus Environment
Page 39 of 42
581
Journal of Agricultural and Food Chemistry
Figure Captions
582 583
Figure 1: Major metabolite classes’ percentile levels in different Lens and Lupinus seeds as listed in Table 1 analyzed using GC/MS post silylation.
584 585 586 587 588
Figure 2: GC/MS based unsupervised hierarchical clustering and principal component analyses (PCA) of metabolites found in Lens and Lupinus seeds. (A) HCA plot (B) PCA score plot of PC1 vs. PC2 scores. (C) Loading plot for PC1 & PC2 contributing primary metabolites and their assignments. The metabolome clusters are located at the distinct positions in two-dimensional space described by the principal component 1 (PC1) = 36% and PC2 = 17%.
589 590 591 592
(LCB) Lens culinaris Medik subsp. culinaris “verte du Puy” brown colored seed; (LCO) L. culinaris Medik subsp. culinaris “Petite Rouge d’Egypte”; (LCY) L. culinaris Medik subsp. Culinaris yellow colored seed; (LCBK) L. culinaris Medik subsp. culinaris “Black Beluga”; (LU_PO) Lupinus polyphyllus Lindl “Russell”; (LU_A) L. angustifolius L. “Boltensia”; (LU_L) L. luteus L.; (LU_H) L. hispanicus Boiss & Reutt.
593 594 595 596 597 598
Figure 3: GC/MS based OPLS-DA score plot derived from modelling Lupinus seeds against Lens seeds (A). The S-plot (B) shows the covariance p[1] against the correlation p(cor)[1] of the variables of the discriminating component of the OPLS-DA model. Cut-off values of P