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Search Results (324)

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11 pages, 2580 KiB  
Article
Genetic, Bio-Agronomic, and Nutritional Characterization of Kale (Brassica Oleracea L. var. Acephala) Diversity in Apulia, Southern Italy
by Concetta Lotti, Paolo Iovieno, Isabella Centomani, Angelo R. Marcotrigiano, Valentina Fanelli, Giancarlo Mimiola, Carmine Summo, Stefano Pavan and Luigi Ricciardi
Diversity 2018, 10(2), 25; https://doi.org/10.3390/d10020025 - 17 Apr 2018
Cited by 14 | Viewed by 5242
Abstract
Kale (Brassica oleracea L. var. acephala) is a widely appreciated vegetable with a century-old history of cultivation in Italy. The present study was addressed to the collection and characterization of kale germplasm traditionally cultivated in Apulia, Southern Italy, nowadays at risk [...] Read more.
Kale (Brassica oleracea L. var. acephala) is a widely appreciated vegetable with a century-old history of cultivation in Italy. The present study was addressed to the collection and characterization of kale germplasm traditionally cultivated in Apulia, Southern Italy, nowadays at risk of genetic erosion. In total, nineteen Apulian kale accessions were acquired. Genotyping by means of simple sequence repeat (SSR) DNA markers led to the identification of highly informative primer combinations and highlighted significant patterns of molecular variation among accessions. Consistently, significant differences were observed with respect to morpho-agronomic traits, including yield and harvesting time, and the content of bioactive compounds, namely total phenols, flavonoids, and anthocyanins, associated with antioxidant activity. Overall, this study led to the establishment of an ex situ collection of great importance to preserve endangered Apulian kale germplasm and to provide seed access to potential growers. Meanwhile, it offers a first characterization of Apulian kale, useful to promote its consumption and valorisation through breeding programmes. Full article
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Figure 1
<p>Genetic diversity among Apulian kale accessions characterized in this study, based on their SSR profile. (<b>a</b>) Unweighted Pair-Group Method with Arithmetic mean (UPGMA) dendrogram of genetic similarity. Bootstrap support values above 70 are indicated above corresponding nodes; (<b>b</b>) principal component analysis (PCoA).</p>
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<p>Apulian kale phenotype with indented leaves.</p>
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<p>Genotype principal component (PCoA) analysis based on bioactive molecules content and antioxidant activity.</p>
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20 pages, 9660 KiB  
Article
Targeted Metabolomic and Transcriptomic Analyses of “Red Russian” Kale (Brassicae napus var. pabularia) Following Methyl Jasmonate Treatment and Larval Infestation by the Cabbage Looper (Trichoplusia ni Hübner)
by Yu-Chun Chiu, John A. Juvik and Kang-Mo Ku
Int. J. Mol. Sci. 2018, 19(4), 1058; https://doi.org/10.3390/ijms19041058 - 2 Apr 2018
Cited by 14 | Viewed by 4566
Abstract
Methyl jasmonate (MeJA), synthesized in the jasmonic acid (JA) pathway, has been found to upregulate glucosinolate (GS) biosynthesis in plant species of the Brassicaceae family. Exogenous application of MeJA has shown to increase tissue GS concentrations and the formation of myrosinase-mediated GS hydrolysis [...] Read more.
Methyl jasmonate (MeJA), synthesized in the jasmonic acid (JA) pathway, has been found to upregulate glucosinolate (GS) biosynthesis in plant species of the Brassicaceae family. Exogenous application of MeJA has shown to increase tissue GS concentrations and the formation of myrosinase-mediated GS hydrolysis products (GSHPs). In vitro and in vivo assays have demonstrated the potential health-promoting effects of certain GSHPs. MeJA is also known to elicit and induce genes associated with defense mechanisms to insect herbivory in Brassica species. To investigate the relationship between MeJA-induced GS biosynthesis and insect defense, three treatments were applied to “Red Russian” kale (Brassicae napus var. pabularia) seedlings: (1) a 250 µM MeJA leaf spray treatment; (2) leaf infestation with larvae of the cabbage looper (Trichoplusia ni (Hübner)); (3) control treatment (neither larval infestation nor MeJA application). Samples of leaf tissue from the three treatments were then assayed for changes in GS and GSHP concentrations, GS gene biosynthesis expression, and myrosinase activity. Major differences were observed between the three treatments in the levels of GS accumulation and GS gene expression. The insect-damaged samples showed significantly lower aliphatic GS accumulation, while both MeJA and T. ni infestation treatments induced greater accumulation of indolyl GS. The gene expression levels of CYP81F4, MYB34, and MYB122 were significantly upregulated in samples treated with MeJA and insects compared to the control group, which explained the increased indolyl GS concentration. The results suggest that the metabolic changes promoted by MeJA application and the insect herbivory response share common mechanisms of induction. This work provides potentially useful information for kale pest control and nutritional quality. Full article
(This article belongs to the Section Molecular Plant Sciences)
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<p>Expression of known genes involved in the GS biosynthesis pathway, myrosinase biosynthesis, and related to specifier proteins associated with GS hydrolysis in extracts of “Red Russian” kale plants 4 days after treatment with 250 μM MeJA or insect damage. Asterisk indicates a significant difference compared to the control using student <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.05). The values highlighted in red and in blue indicate significantly upregulated or downregulated, respectively.</p>
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<p>(<b>A</b>) Myrosinase activity (Unit/g DW) and (<b>B</b>) Nitrile formation (%) of control, insect-damaged, and MeJA-treated kale. Nitrile formation (%) is shown as the relative ratio of nitrile to the total concentration of the hydrolysis products formed (sum of isothiocyanates and nitriles) from sinigrin and gluconasturtiin. The data are presented as the mean concentration ± standard error (<span class="html-italic">n</span> = 3). Different letters mean significantly different by Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.05) across three groups on (a) and three groups within precursor GS on (b), respectively.</p>
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<p>Principle component analysis (<b>A</b>) score and (<b>B</b>) loading plots derived from non-targeted metabolite profiling of <span class="html-italic">Brassica napus</span> with the control plants, MeJA-treated plants, and insect-feeding plants. The shaded areas in (<b>A</b>) represents 95% confidence regions. The pink dots indicated by arrows in (<b>B</b>) represent discriminating biomarkers among various treatments.</p>
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<p>Five biomarker metabolites selected with top-5 variable importance in projection (VIP) scores (VIP &gt; 1.2) from all metabolites among control kales, MeJA-treated kales, and insect-infected kales. Different letter indicates significant differences between the groups, determined by Student’s significance test (<span class="html-italic">p</span> &lt; 0.05). The presented values are normalized values based on an internal standard with auto-scale in Metaboanalyst.</p>
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15 pages, 10925 KiB  
Article
Feasibility of a Novel Industrial-Scale Treatment of Green Cold-Pressed Juices by UV-C Light Exposure
by Michael Biancaniello, Vladimir Popović, Cristina Fernandez-Avila, Valquiria Ros-Polski and Tatiana Koutchma
Beverages 2018, 4(2), 29; https://doi.org/10.3390/beverages4020029 - 2 Apr 2018
Cited by 33 | Viewed by 8798
Abstract
A novel industrial-scale ultraviolet-C (UV-C) light processor from AseptoRay (MGT, Israel) was used to treat a raw cold-pressed green juice blend (GJB) consisting of kale, romaine, celery, apple, and lemon. The effect of UV-C light energies of 0.88 kJ L−1 and 2.93 [...] Read more.
A novel industrial-scale ultraviolet-C (UV-C) light processor from AseptoRay (MGT, Israel) was used to treat a raw cold-pressed green juice blend (GJB) consisting of kale, romaine, celery, apple, and lemon. The effect of UV-C light energies of 0.88 kJ L−1 and 2.93 kJ L−1 on microbial, enzymatic, nutritional, quality, and sensory parameters of the GJB was studied. Using 2.93 kJ L−1, 3.7 log reduction in aciduric bacteria and 3.9 logs in aerobic colony count were achieved, while lactic acid bacteria, coliforms, yeasts, and moulds were reduced by >3, >2, 2.1, and 2.1 logs, respectively. A minor increase in polyphenoloxidase (PPO) enzyme activity was seen with 0.88 kJ L−1 and a slight change in colour (not visually observed) was detected using 2.93 kJ L−1. No other significant change in nutritional and quality parameters or enzyme activities was detected. Further, the stability of the GJB was explored. Kale and romaine contributed the most significant source of spoilage enzyme activity, cloud loss, and browning in the GJB. These stability parameters were shown to be affected by pressing temperature and pH. The commercial UV-C treatment process explored in this study is a viable alternative to high pressure processing (HPP) for improved microbial safety of fresh green juice blends. Full article
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<p>(<b>a</b>) Schematic drawing of the AseptoRay commercial ultraviolet-C (UV-C) processing unit. Skid (1); power and control board (2); product pump (3); balance tank (4); flow meter (5); UV-C lamps chamber and product tube (6); process control sensors and valves (7–9); (<b>b</b>) UV-C lamp chamber with coil tube and lamps.</p>
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<p>PPO, POD, and PME activities of the GJB in comparison to its individual components (kale, romaine, celery, apple, and lemon) when separately cold-pressed and assayed.</p>
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<p>PPO, POD, and PME activities of the GJB in comparison to its individual components (kale, romaine, celery, apple, and lemon) when separately cold-pressed and assayed.</p>
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<p>PPO, POD, and PME activities in kale and romaine juice when pressed at 4 °C or 22 °C.</p>
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<p>Kale and romaine juices pressed at 4 °C and 22 °C after four days.</p>
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<p>Kale (<b>top</b>) and romaine (<b>bottom</b>) juices at varying pH levels stored at 4 °C for four days.</p>
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14 pages, 2301 KiB  
Article
Three-Dimensional Reservoir-Based Dielectrophoresis (rDEP) for Enhanced Particle Enrichment
by Akshay Kale, Saurin Patel and Xiangchun Xuan
Micromachines 2018, 9(3), 123; https://doi.org/10.3390/mi9030123 - 10 Mar 2018
Cited by 24 | Viewed by 4986
Abstract
Selective enrichment of target species is crucial for a wide variety of engineering systems for improved performance of subsequent processes. Dielectrophoresis (DEP) is a powerful electrokinetic method that can be used to focus, trap, concentrate, and separate a variety of species in a [...] Read more.
Selective enrichment of target species is crucial for a wide variety of engineering systems for improved performance of subsequent processes. Dielectrophoresis (DEP) is a powerful electrokinetic method that can be used to focus, trap, concentrate, and separate a variety of species in a label-free manner. The commonly employed methods for DEP suffer from limitations such as electrode fouling and high susceptibility to Joule heating effects. Recently, our group has demonstrated DEP-based manipulations of particles and cells using a novel method of reservoir-based dielectrophoresis (rDEP) which exploits the naturally produced electric field gradients at the reservoir-microchannel junction. Although this method reasonably addresses the limitations mentioned above while maintaining a high simplicity of fabrication, all of our demonstrations so far have used a two-dimensional rDEP, which limits the performance of the devices. This work aims to improve their performance further by making the DEP three-dimensional. Through detailed experimental and numerical analysis, we demonstrate a six-fold increase in the enrichment performance of latex beads and a significant reduction in the power consumption for the new devices, which would allow a more reliable integration of the same into micro-total analysis systems. Full article
(This article belongs to the Special Issue Micro/Nano-Chip Electrokinetics, Volume II)
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<p>Conceptual schematic of the two-dimensional reservoir-based dielectrophoresis (2DrDEP) and three-dimensional reservoir-based dielectrophoresis (3DrDEP) microfluidic devices. The inset images represent a zoomed view of the reservoir microchannel junction for the device. (<b>a</b>) 2DrDEP device fabricated by punching a fluid reservoir within the circular guides patterned as extensions to the microchannel during photolithography. This makes the patterned reservoir-microchannel junction two-dimensional; (<b>b</b>) 3DrDEP device fabricated by punching a fluid reservoir directly on the circular guides patterned as extensions to the microchannel during photolithography. This makes the patterned reservoir-microchannel junction three-dimensional.</p>
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<p>Illustrative mechanism of the proposed three-dimensional reservoir-based dielectrophoresis (3DrDEP) via the views of the reservoir-microchannel junction from different perspectives: (<b>a</b>) Top view (X-Y) of the contours of electric field; (<b>b</b>) Top view (X-Y) of the rDEP force vectors acting on latex beads; (<b>c</b>) Side view (X-Z) of the contours of electric field; (<b>d</b>) Side view (X-Z) of the rDEP force vectors acting on latex beads. The contour maps in (<b>b</b>) and (<b>d</b>) each show the magnitude of the resultant DEP force.</p>
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<p>Comparison of the experimentally obtained and numerically predicted path-lines of 5 µm latex beads at the reservoir-microchannel junction of (<b>a</b>) 2DrDEP device and (<b>b</b>) 3DrDEP device plotted in the top view (X-Y). Three voltage settings are used for comparison, namely 25 V DC, 25 V DC/150 V AC, and 25 V DC/300 V AC. Note that in both devices, the rDEP focusing effect increases with an increase in AC voltage, and the beads get deflected towards the center-line of the channel. Also observe that for all the voltages, some of the focused beads in the 2DrDEP device (<b>a</b>) appear blurred in the field of view of the microscope, indicating an absence of a three-dimensional focusing. In contrast, all the beads in the 3DrDEP device (<b>b</b>) appear sharply focused at higher voltages, indicating a three-dimensional focusing effect towards the channel center-line and the channel bottom.</p>
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<p>Graphical representation of the variation of the dimensionless focusing effectiveness, <math display="inline"> <semantics> <mi>χ</mi> </semantics> </math> (defined in Equation (6)), as a function of the applied AC voltage in the 2DrDEP and the 3DrDEP devices. The applied DC voltage is fixed at 25 V, while the AC voltage is varied from 0 V to 300 V. Numerically predicted 5 µm particle path-lines are used to measure the width and depth of the focused particles and the measurements are used in Equation (6) to calculate the effectiveness. Three experimental data points corresponding to the images in <a href="#micromachines-09-00123-f003" class="html-fig">Figure 3</a>a, are also shown for comparison with the numerical graphs for 2DrDEP. These experimental data points are obtained by measuring the experimentally generated streak width of the beads in the top view (X-Y), and recalling that the depth of this focused streak is equal to the channel height due to the 2D electric field gradients. The measured streak widths are then substituted in Equation (6) to obtain the focusing effectiveness. The inset images represent the numerically predicted path-lines for 25 V DC/300 V AC plotted in the side view (X-Z). Observe the significant increase in the focusing effectiveness of the 3DrDEP device over the 2DrDEP device because of the strong additional depth-wise component of the electric field gradients produced in the former.</p>
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<p>Graphical representation of the variation of the threshold AC voltage required to trap the 5 µm beads as a function of the applied DC voltage in the 2DrDEP and the 3DrDEP devices. The applied DC voltages are varied from 25 V to 100 V in steps of 25 V, while the AC voltage is varied from 0 V until the value where trapping is achieved. The inset images represent the comparison of experimentally obtained and numerically predicted path-lines for an applied DC voltage of 25 V DC plotted in the top view (X-Y). Observe the significant reduction in the AC voltage required for trapping inside the 3DrDEP device over that in the 2DrDEP device. This is because of the strong additional depth-wise component of the electric field gradients produced in the former, which reduces the requirement of applied voltage for producing comparable DEP forces.</p>
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3844 KiB  
Article
Evaluation of the Nutritional Quality of Chinese Kale (Brassica alboglabra Bailey) Using UHPLC-Quadrupole-Orbitrap MS/MS-Based Metabolomics
by Ya-Qin Wang, Li-Ping Hu, Guang-Min Liu, De-Shuang Zhang and Hong-Ju He
Molecules 2017, 22(8), 1262; https://doi.org/10.3390/molecules22081262 - 27 Jul 2017
Cited by 41 | Viewed by 6091
Abstract
Chinese kale (Brassica alboglabra Bailey) is a widely consumed vegetable which is rich in antioxidants and anticarcinogenic compounds. Herein, we used an untargeted ultra-high-performance liquid chromatography (UHPLC)-Quadrupole-Orbitrap MS/MS-based metabolomics strategy to study the nutrient profiles of Chinese kale. Seven Chinese kale cultivars [...] Read more.
Chinese kale (Brassica alboglabra Bailey) is a widely consumed vegetable which is rich in antioxidants and anticarcinogenic compounds. Herein, we used an untargeted ultra-high-performance liquid chromatography (UHPLC)-Quadrupole-Orbitrap MS/MS-based metabolomics strategy to study the nutrient profiles of Chinese kale. Seven Chinese kale cultivars and three different edible parts were evaluated, and amino acids, sugars, organic acids, glucosinolates and phenolic compounds were analysed simultaneously. We found that two cultivars, a purple-stem cultivar W1 and a yellow-flower cultivar Y1, had more health-promoting compounds than others. The multivariate statistical analysis results showed that gluconapin was the most important contributor for discriminating both cultivars and edible parts. The purple-stem cultivar W1 had higher levels of some phenolic acids and flavonoids than the green stem cultivars. Compared to stems and leaves, the inflorescences contained more amino acids, glucosinolates and most of the phenolic acids. Meanwhile, the stems had the least amounts of phenolic compounds among the organs tested. Metabolomics is a powerful approach for the comprehensive understanding of vegetable nutritional quality. The results provide the basis for future metabolomics-guided breeding and nutritional quality improvement. Full article
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Figure 1
<p>Orthogonal partial least squares-discriminate analysis (OPLS-DA) of seven Chinese kale cultivars analysed by UHPLC-Quadrupole-Orbitrap MS/MS (the number after the cultivar name stands for the six independent biological replicates of each cultivar). (<b>a</b>) Score plot; (<b>b</b>) Loading plot.</p>
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<p>Hierarchical clustering analysis (HCA) of the primary and secondary nutritive metabolites identified in different Chinese kale cultivars (each cultivar with six independent biological replicates). (<b>a</b>) Primary metabolites; (<b>b</b>) Glucosinolates; (<b>c</b>) Phenolic compounds. glu: glucoside; rham: rhamnoside; K: kaempferol; Q: quercetin; soph: sophoroside.</p>
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<p>OPLS-DA of different edible parts of Chinese kale including stems (S), leaves (L), inflorescences (F) and all of these parts as a whole (E) (the number after the cultivar name stands for the six independent biological replicates of each edible part of every cultivar). (<b>a</b>) Score plot; (<b>b</b>) Loading plot.</p>
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<p>HCA of the primary and secondary nutritive metabolites identified in different edible parts of Chinese kale including stems (S), leaves (L), inflorescences (F) and all of these parts as a whole (E) (each edible part of every cultivar with six independent biological replicates). (<b>a</b>) Primary metabolites; (<b>b</b>) Glucosinolates; (<b>c</b>) Phenolic compounds. glu: glucoside; rham: rhamnoside; K: kaempferol; Q: quercetin; soph: sophoroside.</p>
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<p>4C aliphatic glucosinolate contents in different edible parts of Chinese kale and their biosynthesis pathway (the related genes are adapted from Wu et al., 2017 [<a href="#B39-molecules-22-01262" class="html-bibr">39</a>]). fw: fresh weight.</p>
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1049 KiB  
Article
Influences of Orally Taken Carotenoid-Rich Curly Kale Extract on Collagen I/Elastin Index of the Skin
by Martina C. Meinke, Ceylan K. Nowbary, Sabine Schanzer, Henning Vollert, Jürgen Lademann and Maxim E. Darvin
Nutrients 2017, 9(7), 775; https://doi.org/10.3390/nu9070775 - 19 Jul 2017
Cited by 23 | Viewed by 8382
Abstract
Two differently designed, spatially resolved reflectance spectroscopy-based scanners and two-photon tomography were used for noninvasive in vivo determination of cutaneous carotenoids, and collagen I/elastin aging index of dermis, respectively, in the skin of 29 healthy female volunteers between 40 and 56 years of [...] Read more.
Two differently designed, spatially resolved reflectance spectroscopy-based scanners and two-photon tomography were used for noninvasive in vivo determination of cutaneous carotenoids, and collagen I/elastin aging index of dermis, respectively, in the skin of 29 healthy female volunteers between 40 and 56 years of age. The volunteers received a supplement in the form of a carotenoid-rich natural curly kale extract containing 1650 µg of carotenoids in total (three capsules of 550 µg), once a day. Measurements were taken before, after 5 months and after 10 months of daily supplementation. The results showed significantly increased values for the cutaneous carotenoids and the collagen I/elastin aging index of dermis 5 and 10 months after the beginning of the study. The obtained results show that a natural carotenoid-rich extract could prevent the aging-related collagen I degradation in the dermis and improve the extracellular matrix. Full article
(This article belongs to the Special Issue Nutraceuticals and the Skin: Roles in Health and Disease)
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<p>Carotenoid values relative to the initial values measured by two different carotenoid sensors obtained in the palm (mean ± SEM). + <span class="html-italic">p</span> &lt; 0.05 between placebo and verum; (<b>*</b>) <span class="html-italic">p</span> &lt; 0.1, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 to initial value. <span class="html-italic">N</span> = 15 for placebo and <span class="html-italic">N</span> = 14 for verum.</p>
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<p>Box plot of the differences of SAAID to the initial values measured at the cheek and inner forearm. + <span class="html-italic">p</span> &lt; 0.05 between placebo and verum; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 to initial value. The box presents 50% of the data. The bottom and top of the box are always the first and third quartiles and the solid line box is always the second quartile, the median.</p>
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7489 KiB  
Article
Epigenetic Regulation of a Heat-Activated Retrotransposon in Cruciferous Vegetables
by Kosuke Nozawa, Yuki Kawagishi, Akira Kawabe, Mio Sato, Yukari Masuta, Atsushi Kato and Hidetaka Ito
Epigenomes 2017, 1(1), 7; https://doi.org/10.3390/epigenomes1010007 - 7 Jun 2017
Cited by 5 | Viewed by 5341
Abstract
Transposable elements (TEs) are highly abundant in plant genomes. Environmental stress is one of the critical stimuli that activate TEs. We analyzed a heat-activated retrotransposon, named ONSEN, in cruciferous vegetables. Multiple copies of ONSEN-like elements (OLEs) were found in all of the cruciferous [...] Read more.
Transposable elements (TEs) are highly abundant in plant genomes. Environmental stress is one of the critical stimuli that activate TEs. We analyzed a heat-activated retrotransposon, named ONSEN, in cruciferous vegetables. Multiple copies of ONSEN-like elements (OLEs) were found in all of the cruciferous vegetables that were analyzed. The copy number of OLE was high in Brassica oleracea, which includes cabbage, cauliflower, broccoli, Brussels sprout, and kale. Phylogenic analysis demonstrated that some OLEs transposed after the allopolyploidization of parental Brassica species. Furthermore, we found that the high copy number of OLEs in B. oleracea appeared to induce transpositional silencing through epigenetic regulation, including DNA methylation. The results of this study would be relevant to the understanding of evolutionary adaptations to thermal environmental stress in different species. Full article
(This article belongs to the Special Issue Plant Epigenome Dynamics)
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<p>Southern blot analysis for determining the copies of <span class="html-italic">ONSEN-</span>like element (<span class="html-italic">OLE</span>). Southern blot analysis for determining the copies of <span class="html-italic">ONSEN-</span>like element (<span class="html-italic">OLE</span>) in 17 cruciferous vegetables (A) and <span class="html-italic">B. napus</span> (B). The genomic DNA was digested with <span class="html-italic">Ssp</span>I and hybridized with an <span class="html-italic">ONSEN</span>-specific probe. The arrow in (A) indicates the conserved copy in the same species. A gel stained with ethidium bromide (EtBr) is shown at the bottom of each panel as a loading control.</p>
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<p>Heat-activation of <span class="html-italic">OLE</span> in cruciferous vegetables (A) RT-PCR of <span class="html-italic">ONSEN</span>-like elements (<span class="html-italic">OLE</span>s) in 17 Cruciferous vegetables. 18S rDNA was used as a control. (B) Southern blot of non-digested DNA for detecting the extrachromosomal DNA (5 kb) of <span class="html-italic">OLE</span>s in cruciferous vegetables. A gel stained with ethidium bromide (EtBr) is shown at the bottom of each panel as a loading control.</p>
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<p>Phylogenetic relationship of the reverse transcriptase region in <span class="html-italic">Brassica</span> species. The phylogenetic relationship was represented by a tree constructed using the neighbor-joining method. All the trees are shown in the same scale; the scale bars are shown beside each tree. The description of marker is shown in the middle at the top of the figure. The <span class="html-italic">A. thaliana</span> sequences were also included for whole genome sequence based analyses. The bootstrap values of the major clades are indicated beside the branches. (A) Sequences from the whole genome of <span class="html-italic">Brassica</span> species, (B) <span class="html-italic">B. rapa</span>, (C) <span class="html-italic">B. juncea</span>, (D) <span class="html-italic">B. oleracea</span>.</p>
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<p>Evolutionary analyses of long terminal repeat (LTR) sequences. (A) A phylogenetic tree is shown. The description of marker is shown in the bottom at the right of the tree. The scale bar is shown in the middle at the top. For B. rapa and B. oleracea, copies from the different genome surveys are indicated with different marks. The bootstrap values for the major clades are shown beside the branches. (B) Scatter plot of LTR identities. The LTR identities are shown for each species. The number of pairs is shown in the parentheses. (C) Distribution of LTR identities for B. rapa, B. oleracea, and B. napus. The locations of genomes are indicated as A: right hatched bar, C: filled bar, unplaced scaffold: open bar.</p>
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<p>Epigenetic regulation of <span class="html-italic">OLE</span> in cruciferous vegetables (A) Relative transcript levels of <span class="html-italic">ONSEN-</span>like element (<span class="html-italic">OLE</span>s) with or without 5AzaC treatment in four <span class="html-italic">Brassica</span> species. NS: non-stressed, HS: heat stressed. Asterisks mark significant differences (<span class="html-italic">p</span> &lt; 0.05). (B) Young seedlings with or without the 5AzaC treatment in four <span class="html-italic">Brassica</span> species. (C) Southern blot of non-digested DNA for detecting the extrachromosomal DNA with or without the 5AzaC treatment in <span class="html-italic">B. oleracea</span> (<span class="html-italic">B.O.</span>) <span class="html-italic">and B. napus</span> (<span class="html-italic">B. n.</span>). NS: non-stressed, HS: heat stressed. The arrowhead indicates the 5 kb exDNA.</p>
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205 KiB  
Article
LC-MS/MS Validation Analysis of Trastuzumab Using dSIL Approach for Evaluating Pharmacokinetics
by Rohit H. Budhraja, Milin A. Shah, Mahendra Suthar, Arun Yadav, Sahil P. Shah, Prashant Kale, Parisa Asvadi, Mariadhas Valan Arasu, Naif Abdullah Al-Dhabi, Chun Geon Park, Young-Ock Kim, Hak Jae Kim, Y. K. Agrawal and Ravi. K. Krovidi
Molecules 2016, 21(11), 1464; https://doi.org/10.3390/molecules21111464 - 2 Nov 2016
Cited by 14 | Viewed by 6181
Abstract
Quantitative targeted proteomics based approaches deploy state-of-the-art Liquid chromatography tandem mass spectrometry LC-MS technologies and are evolving as a complementary technique to standard ligand-binding based assays. Advancements in MS technology, which have augmented the specificity, selectivity and sensitivity limits of detection and freedom [...] Read more.
Quantitative targeted proteomics based approaches deploy state-of-the-art Liquid chromatography tandem mass spectrometry LC-MS technologies and are evolving as a complementary technique to standard ligand-binding based assays. Advancements in MS technology, which have augmented the specificity, selectivity and sensitivity limits of detection and freedom from antibody generation, have made it amicable towards various clinical applications. In our current work, a surrogate peptide based quantitative proteomics assessment is performed by selecting specific signature peptides from the complementary determining region CDR region of trastuzumab (Herclon®, Roche products in India). We developed a double Stable Isotope Label (dSIL) approach by using two different surrogate peptides to evaluate the proteolytic digestion efficiency and accurate quantification of the target analyte peptide of Herclon® in human serum. Method validation experiments were meticulously performed as per bioanalytical method validation guidelines. The dSIL approach, using an LC-MS/MS based quantification assay demonstrated good linearity over a range of 5–500 µg/mL of Herclon®, and validation experimental data is in compliance with bioanalytical regulatory guidelines. Full article
2653 KiB  
Article
Exogenous Methyl Jasmonate and Salicylic Acid Induce Subspecies-Specific Patterns of Glucosinolate Accumulation and Gene Expression in Brassica oleracea L.
by Go-Eun Yi, Arif Hasan Khan Robin, Kiwoung Yang, Jong-In Park, Byung Ho Hwang and Ill-Sup Nou
Molecules 2016, 21(10), 1417; https://doi.org/10.3390/molecules21101417 - 24 Oct 2016
Cited by 56 | Viewed by 7469
Abstract
Glucosinolates have anti-carcinogenic properties. In the recent decades, the genetics of glucosinolate biosynthesis has been widely studied, however, the expression of specific genes involved in glucosinolate biosynthesis under exogenous phytohormone treatment has not been explored at the subspecies level in Brassica oleracea. [...] Read more.
Glucosinolates have anti-carcinogenic properties. In the recent decades, the genetics of glucosinolate biosynthesis has been widely studied, however, the expression of specific genes involved in glucosinolate biosynthesis under exogenous phytohormone treatment has not been explored at the subspecies level in Brassica oleracea. Such data are vital for strategies aimed at selective exploitation of glucosinolate profiles. This study quantified the expression of 38 glucosinolate biosynthesis-related genes in three B. oleracea subspecies, namely cabbage, broccoli and kale, and catalogued associations between gene expression and increased contents of individual glucosinolates under methyl jasmonate (MeJA) and salicylic acid (SA) treatments. Glucosinolate accumulation and gene expression in response to phytohormone elicitation was subspecies specific. For instance, cabbage leaves showed enhanced accumulation of the aliphatic glucoiberin, progoitrin, sinigrin and indolic neoglucobrassicin under both MeJA and SA treatment. MeJA treatment induced strikingly higher accumulation of glucobrassicin (GBS) in cabbage and kale and of neoglucobrassicin (NGBS) in broccoli compared to controls. Notably higher expression of ST5a (Bol026200), CYP81F1 (Bol028913, Bol028914) and CYP81F4 genes was associated with significantly higher GBS accumulation under MeJA treatment compared to controls in all three subspecies. CYP81F4 genes, trans-activated by MYB34 genes, were expressed at remarkably high levels in all three subspecies under MeJA treatment, which also induced in higher indolic NGBS accumulation in all three subspecies. Remarkably higher expression of MYB28 (Bol036286), ST5b, ST5c, AOP2, FMOGS-OX5 (Bol031350) and GSL-OH (Bol033373) was associated with much higher contents of aliphatic glucosinolates in kale leaves compared to the other two subspecies. The genes expressed highly could be utilized in strategies to selectively increase glucosinolate compounds in B. oleracea subspecies. These results promote efforts to develop genotypes of B. oleracea and other species with enhanced levels of desired glucosinolates. Full article
(This article belongs to the Section Molecular Diversity)
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<p>The 38 genes (blue letters) analyzed in this work, with their postions in aliphatic and indolic glucosinolate (GSL, red letters) biosynthesis pathways. A total of 15 and 23 genes were selected from aliphatic and indolic glucosinolate biosynthesis pathways, respectively. Chemical structures of the glucosinolate compounds and intermediates are presented in <a href="#app1-molecules-21-01417" class="html-app">Figure S2</a>.</p>
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<p>Quantitative PCR analyses of the expression of glucosinolate biosynthesis genes under the exogenous application of MeJA and SA. Expression was normalized to that of <span class="html-italic">actin</span> and the values in control plants were set to 1. Each data point is the average for each of the three biological replicates with three technical replicates against each biological replicate. Vertical bars indicate standard deviation of the means. Different letters indicate statistically significant difference (<span class="html-italic">p</span> &lt; 0.01). (<b>A</b>) Relative expression analyses of five aliphatic transcription factor-related genes; (<b>B</b>) Relative expression analyses of six indolic transcription factor-related genes; (<b>C</b>) Relative expression analyses of 10 aliphatic glucosinolate biosynthesis-related genes; (<b>D</b>) Relative expression analyses of 17 indolic glucosinolate biosynthesis-related genes.</p>
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<p>Quantitative PCR analyses of the expression of glucosinolate biosynthesis genes under the exogenous application of MeJA and SA. Expression was normalized to that of <span class="html-italic">actin</span> and the values in control plants were set to 1. Each data point is the average for each of the three biological replicates with three technical replicates against each biological replicate. Vertical bars indicate standard deviation of the means. Different letters indicate statistically significant difference (<span class="html-italic">p</span> &lt; 0.01). (<b>A</b>) Relative expression analyses of five aliphatic transcription factor-related genes; (<b>B</b>) Relative expression analyses of six indolic transcription factor-related genes; (<b>C</b>) Relative expression analyses of 10 aliphatic glucosinolate biosynthesis-related genes; (<b>D</b>) Relative expression analyses of 17 indolic glucosinolate biosynthesis-related genes.</p>
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<p>Quantitative PCR analyses of the expression of glucosinolate biosynthesis genes under the exogenous application of MeJA and SA. Expression was normalized to that of <span class="html-italic">actin</span> and the values in control plants were set to 1. Each data point is the average for each of the three biological replicates with three technical replicates against each biological replicate. Vertical bars indicate standard deviation of the means. Different letters indicate statistically significant difference (<span class="html-italic">p</span> &lt; 0.01). (<b>A</b>) Relative expression analyses of five aliphatic transcription factor-related genes; (<b>B</b>) Relative expression analyses of six indolic transcription factor-related genes; (<b>C</b>) Relative expression analyses of 10 aliphatic glucosinolate biosynthesis-related genes; (<b>D</b>) Relative expression analyses of 17 indolic glucosinolate biosynthesis-related genes.</p>
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<p>Quantitative PCR analyses of the expression of glucosinolate biosynthesis genes under the exogenous application of MeJA and SA. Expression was normalized to that of <span class="html-italic">actin</span> and the values in control plants were set to 1. Each data point is the average for each of the three biological replicates with three technical replicates against each biological replicate. Vertical bars indicate standard deviation of the means. Different letters indicate statistically significant difference (<span class="html-italic">p</span> &lt; 0.01). (<b>A</b>) Relative expression analyses of five aliphatic transcription factor-related genes; (<b>B</b>) Relative expression analyses of six indolic transcription factor-related genes; (<b>C</b>) Relative expression analyses of 10 aliphatic glucosinolate biosynthesis-related genes; (<b>D</b>) Relative expression analyses of 17 indolic glucosinolate biosynthesis-related genes.</p>
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<p>Subspecies variation in aliphatic glucosinolate biosynthesis-related gene expression in the control cabbage, broccoli and kale leaves. Vertical bars indicate standard deviation of means. Different letters indicate statistically significant differences between subspecies at 1% level of significance in one-way ANOVA. Genes with red letters were highly expressed only in kale.</p>
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3927 KiB  
Article
Enhanced Throughput for Electrokinetic Manipulation of Particles and Cells in a Stacked Microfluidic Device
by Lin Zhu, Saurin H. Patel, Mark Johnson, Akshay Kale, Yash Raval, Tzuen-Rong Tzeng and Xiangchun Xuan
Micromachines 2016, 7(9), 156; https://doi.org/10.3390/mi7090156 - 1 Sep 2016
Cited by 6 | Viewed by 5031
Abstract
Electrokinetic manipulation refers to the control of particle and cell motions using an electric field. It is an efficient technique for microfluidic applications with the ease of operation and integration. It, however, suffers from an intrinsic drawback of low throughput due to the [...] Read more.
Electrokinetic manipulation refers to the control of particle and cell motions using an electric field. It is an efficient technique for microfluidic applications with the ease of operation and integration. It, however, suffers from an intrinsic drawback of low throughput due to the linear dependence of the typically very low fluid permittivity. We demonstrate in this work a significantly enhanced throughput for electrokinetic manipulation of particles and cells by the use of multiple parallel microchannels in a two-layer stacked microfluidic device. The fabrication of this device is simple without the need of a precise alignment of the two layers. The number of layers and the number of microchannels in each layer can thus be further increased for a potentially high throughput electrokinetic particle and cell manipulations. Full article
(This article belongs to the Special Issue Micro/Nano-Chip Electrokinetics)
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<p>(<b>a</b>) Picture of the stacked PDMS/glass microfluidic device (reservoirs and microchannels are filled with green food dye for clarity) used in experiments, which consists of two PDMS layers with four 5-mm-long straight rectangular microchannels each; (<b>b</b>) Electrical connections for the stacked microfluidic device.</p>
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<p>(<b>a</b>) Electric field contour in the four parallel microchannels of one PDMS layer of the stacked microfluidic device (see <a href="#micromachines-07-00156-f001" class="html-fig">Figure 1</a>). (<b>b</b>) Velocity analysis for a particle or cell at the central inlet reservoir-microchannel junction, where the electrokinetic motion, <span class="html-italic">U<sub>EK</sub></span>, transports the particle or cell into the microchannel while the negative dielectrophoretic motion, <span class="html-italic">U<sub>DEP</sub></span>, directs it towards the reservoir (by the streamwise component, <span class="html-italic">U<sub>DEP_s</sub></span>) and the centerline of the microchannel (by the cross-stream component, <span class="html-italic">U<sub>DEP_n</sub></span>). The thin lines represent the electric field lines or equivalently the fluid streamlines in the absence of the particle [<a href="#B30-micromachines-07-00156" class="html-bibr">30</a>]. The darker background color indicates a larger electric field magnitude. The small circle at the center of the reservoir on the left plot indicates an iso-potential electrode surface.</p>
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<p>Electrokinetic trapping and concentration of 5-μm-diameter polystyrene particles inside the central inlet reservoir of the stacked microfluidic device under the application of a 50-V DC-biased 500-V AC voltage: (<b>a</b>) snapshot image in Layer A (see <a href="#micromachines-07-00156-f001" class="html-fig">Figure 1</a>); (<b>b</b>) snapshot image in Layer B; (<b>c</b>) superimposed image at a different reservoir-microchannel junction of Layer A; and (<b>d</b>) numerically predicted trajectories at any reservoir-microchannel junction. The arrows indicate the fluid and particles moving directions from the central inlet reservoir into the parallel microchannels. The scale bar represents 100 µm and applies to all images.</p>
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<p>Electrokinetic concentration and separation of 5-μm-diameter polystyrene particles from 3-μm polystyrene particles at different central reservoir-microchannel junctions of the stacked microfluidic device under a 50-V DC-biased 500-V AC voltage: (<b>a</b>) snapshot image in Layer A (see <a href="#micromachines-07-00156-f001" class="html-fig">Figure 1</a>); (<b>b</b>) snapshot image in Layer B; (<b>c</b>) snapshot image at a different reservoir-microchannel junction of Layer A; and (<b>d</b>) numerically predicted trajectories at any reservoir-microchannel junction. The arrows indicate the fluid and particle moving directions during the separation. The scale bar represents 100 µm and applies to all images.</p>
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<p>Electrokinetic concentration of live yeast cells at different central reservoir-microchannel junctions of the stacked microfluidic device under a 25-V DC-biased 250-V AC voltage: (<b>a</b>) snapshot image in Layer A (see <a href="#micromachines-07-00156-f001" class="html-fig">Figure 1</a>); (<b>b</b>) snapshot image in Layer B; (<b>c</b>) snapshot image at a different reservoir-microchannel junction of Layer A; and (<b>d</b>) numerically predicted trajectories at any reservoir-microchannel junction. The arrows indicate the fluid and cell moving directions. The scale bar represents 100 µm and applies to all images.</p>
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1042 KiB  
Article
Molecular Cloning, Expression Pattern and Genotypic Effects on Glucoraphanin Biosynthetic Related Genes in Chinese Kale (Brassica oleracea var. alboglabra Bailey)
by Ling Yin, Changming Chen, Guoju Chen, Bihao Cao and Jianjun Lei
Molecules 2015, 20(11), 20254-20267; https://doi.org/10.3390/molecules201119688 - 11 Nov 2015
Cited by 7 | Viewed by 6010
Abstract
Glucoraphanin is a plant secondary metabolite that is involved in plant defense and imparts health-promoting properties to cruciferous vegetables. In this study, three genes involved in glucoraphanin metabolism, branched-chain aminotransferase 4 (BCAT4), methylthioalkylmalate synthase 1 (MAM1) and dihomomethionine N-hydroxylase [...] Read more.
Glucoraphanin is a plant secondary metabolite that is involved in plant defense and imparts health-promoting properties to cruciferous vegetables. In this study, three genes involved in glucoraphanin metabolism, branched-chain aminotransferase 4 (BCAT4), methylthioalkylmalate synthase 1 (MAM1) and dihomomethionine N-hydroxylase (CYP79F1), were cloned from Chinese kale (Brassica oleracea var. alboglabra Bailey). Sequence homology and phylogenetic analysis identified these genes and confirmed the evolutionary status of Chinese kale. The transcript levels of BCAT4, MAM1 and CYP79F1 were higher in cotyledon, leaf and stem compared with flower and silique. BCAT4, MAM1 and CYP79F1 were expressed throughout leaf development with lower transcript levels during the younger stages. Glucoraphanin content varied extensively among different varieties, which ranged from 0.25 to 2.73 µmol·g−1 DW (dry weight). Expression levels of BCAT4 and MAM1 were high at vegetative–reproductive transition phase, while CYP79F1 was expressed high at reproductive phase. BCAT4, MAM1 and CYP79F1 were expressed significantly high in genotypes with high glucoraphanin content. All the results provided a better understanding of the roles of BCAT4, MAM1 and CYP79F1 in the glucoraphanin biosynthesis of Chinese kale. Full article
(This article belongs to the Section Molecular Diversity)
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<p>The biosynthetic pathway of glucoraphanin in <span class="html-italic">Brassica</span> vegetables.</p>
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<p>Spatial expression patterns of <span class="html-italic">BCAT4</span>, <span class="html-italic">MAM1</span> and <span class="html-italic">CYP79F1</span>. The tissues are defied as: cotyledon (7 days), leaf (15 days), stem (30 days), flower (anthesis) and silique (15 days post-anthesis). Each bar represents the mean (±standard error) of three independent biological replicates. Different letters on the top indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Temporal expression patterns of <span class="html-italic">BCAT4</span>, <span class="html-italic">MAM1</span> and <span class="html-italic">CYP79F1</span>. The stages are defied as: primary leaf (15 days), young leaf (30 days), mature leaf (60 days) and inflorescence leaf (anthesis). Each bar represents the mean (±standard error) of three independent biological replicates. Different letters on the top indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>(<b>a</b>) Genotypic expression patterns of <span class="html-italic">BCAT4</span>; (<b>b</b>) Genotypic expression patterns of <span class="html-italic">MAM1</span>; (<b>c</b>) Genotypic expression patterns of <span class="html-italic">CYP79F1</span>. The stages are defied as: vegetative–reproductive transition phase (the elongated stems) and reproductive phase (stems with inflorescence). Each bar represents the mean (±standard error) of three independent biological replicates.</p>
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1185 KiB  
Review
Lentil and Kale: Complementary Nutrient-Rich Whole Food Sources to Combat Micronutrient and Calorie Malnutrition
by Megan Migliozzi, Dil Thavarajah, Pushparajah Thavarajah and Powell Smith
Nutrients 2015, 7(11), 9285-9298; https://doi.org/10.3390/nu7115471 - 11 Nov 2015
Cited by 54 | Viewed by 12851
Abstract
Lentil (Lens culinaris Medik.) is a nutritious food and a staple for millions of people. Not only are lentils a good source of energy, they also contain a range of micronutrients and prebiotic carbohydrates. Kale (Brassica oleracea v. acephala) has been [...] Read more.
Lentil (Lens culinaris Medik.) is a nutritious food and a staple for millions of people. Not only are lentils a good source of energy, they also contain a range of micronutrients and prebiotic carbohydrates. Kale (Brassica oleracea v. acephala) has been considered as a health food, but its full range of benefits and composition has not been extensively studied. Recent studies suggest that foods are enrich in prebiotic carbohydrates and dietary fiber that can potentially reduce risks of non-communicable diseases, including obesity, cancer, heart disease, and diabetes. Lentil and kale added to a cereal-based diet would enhance intakes of essential minerals and vitamins to combat micronutrient malnutrition. This review provides an overview of lentil and kale as a complementary nutrient-rich whole food source to combat global malnutrition and calorie issues. In addition, prebiotic carbohydrate profiles and the genetic potential of these crops for further micronutrient enrichment are briefly discussed with respect to developing sustainable and nutritious food systems. Full article
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<p>Prevalence of stunting, underweight, and overweight among children under age of 5 (Data adopted from [<a href="#B14-nutrients-07-05471" class="html-bibr">14</a>]; WHO, 2015).</p>
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<p>Concentrations of total prebiotic carbohydrates in a 100 g serving of different lentil cultivars grown the USA. Original data adopted from Johnson <span class="html-italic">et al</span>. (2013) [<a href="#B46-nutrients-07-05471" class="html-bibr">46</a>]. Total prebiotics are the sum of sugar alcohols, raffinose oligosaccharides, fructooligosaccharides, and resistant starch. Recommendation for daily total prebiotic intake reported by Douglas and Sanders (2008) is 10–20 g per day [<a href="#B51-nutrients-07-05471" class="html-bibr">51</a>].</p>
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733 KiB  
Article
Comparison of Glucosinolate Profiles in Different Tissues of Nine Brassica Crops
by Shiva Ram Bhandari, Jung Su Jo and Jun Gu Lee
Molecules 2015, 20(9), 15827-15841; https://doi.org/10.3390/molecules200915827 - 31 Aug 2015
Cited by 132 | Viewed by 8360
Abstract
Glucosinolate (GSL) profiles and concentrations in various tissues (seeds, sprouts, mature root, and shoot) were determined and compared across nine Brassica species, including cauliflower, cabbage, broccoli, radish, baemuchae, pakchoi, Chinese cabbage, leaf mustard, and kale. The compositions and concentrations of individual GSLs varied [...] Read more.
Glucosinolate (GSL) profiles and concentrations in various tissues (seeds, sprouts, mature root, and shoot) were determined and compared across nine Brassica species, including cauliflower, cabbage, broccoli, radish, baemuchae, pakchoi, Chinese cabbage, leaf mustard, and kale. The compositions and concentrations of individual GSLs varied among crops, tissues, and growth stages. Seeds had highest total GSL concentrations in most of crops, whereas shoots had the lowest GSL concentrations. Aliphatic GSL concentrations were the highest in seeds, followed by that in sprouts, shoots, and roots. Indole GSL concentration was the highest in the root or shoot tissues in most of the crops. In contrast, aromatic GSL concentrations were highest in roots. Of the nine crops examined, broccoli exhibited the highest total GSL concentration in seeds (110.76 µmol·g−1) and sprouts (162.19 µmol·g−1), whereas leaf mustard exhibited the highest total GSL concentration in shoots (61.76 µmol·g−1) and roots (73.61 µmol·g−1). The lowest GSL concentrations were observed in radish across all tissues examined. Full article
(This article belongs to the Section Molecular Diversity)
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<p>Ultra performance liquid chromatography (UPLC) chromatograms of desulfo-GSLs standards (<b>A</b>) and kale sample extract (<b>B</b>). Peak identification 1: glucoiberin; 2: progoitrin; 3: epiprogoitrin; 4: glucoraphanin; 5: sinigrin; 6: glucoraphenin; 7: gluconapin; 8: glucobarbarin; 9: glucobrassicanapin; 10: glucoerucin; 11: glucobrassicin; and 12: gluconasturtiin.</p>
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1524 KiB  
Article
Identification and Expression Analysis of Glucosinolate Biosynthetic Genes and Estimation of Glucosinolate Contents in Edible Organs of Brassica oleracea Subspecies
by Go-Eun Yi, Arif Hasan Khan Robin, Kiwoung Yang, Jong-In Park, Jong-Goo Kang, Tae-Jin Yang and Ill-Sup Nou
Molecules 2015, 20(7), 13089-13111; https://doi.org/10.3390/molecules200713089 - 20 Jul 2015
Cited by 54 | Viewed by 9700
Abstract
Glucosinolates are anti-carcinogenic, anti-oxidative biochemical compounds that defend plants from insect and microbial attack. Glucosinolates are abundant in all cruciferous crops, including all vegetable and oilseed Brassica species. Here, we studied the expression of glucosinolate biosynthesis genes and determined glucosinolate contents in the [...] Read more.
Glucosinolates are anti-carcinogenic, anti-oxidative biochemical compounds that defend plants from insect and microbial attack. Glucosinolates are abundant in all cruciferous crops, including all vegetable and oilseed Brassica species. Here, we studied the expression of glucosinolate biosynthesis genes and determined glucosinolate contents in the edible organs of a total of 12 genotypes of Brassica oleracea: three genotypes each from cabbage, kale, kohlrabi and cauliflower subspecies. Among the 81 genes analyzed by RT-PCR, 19 are transcription factor-related, two different sets of 25 genes are involved in aliphatic and indolic biosynthesis pathways and the rest are breakdown-related. The expression of glucosinolate-related genes in the stems of kohlrabi was remarkably different compared to leaves of cabbage and kale and florets of cauliflower as only eight genes out of 81 were expressed in the stem tissues of kohlrabi. In the stem tissue of kohlrabi, only one aliphatic transcription factor-related gene, Bol036286 (MYB28) and one indolic transcription factor-related gene, Bol030761 (MYB51), were expressed. The results indicated the expression of all genes is not essential for glucosinolate biosynthesis. Using HPLC analysis, a total of 16 different types of glucosinolates were identified in four subspecies, nine of them were aliphatic, four of them were indolic and one was aromatic. Cauliflower florets measured the highest number of 14 glucosinolates. Among the aliphatic glucosinolates, only gluconapin was found in the florets of cauliflower. Glucoiberverin and glucobrassicanapin contents were the highest in the stems of kohlrabi. The indolic methoxyglucobrassicin and aromatic gluconasturtiin accounted for the highest content in the florets of cauliflower. A further detailed investigation and analyses is required to discern the precise roles of each of the genes for aliphatic and indolic glucosinolate biosynthesis in the edible organs. Full article
(This article belongs to the Section Molecular Diversity)
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<p>Aliphatic and indolic glucosinolate metabolic pathways along with glucosinolate (GSL)-related genes in <span class="html-italic">B. oleracea</span>, after Liu <span class="html-italic">et al.</span> [<a href="#B35-molecules-20-13089" class="html-bibr">35</a>]. Red bold denotes the GSLs measured in this work by HPLC. Blue bold indicates enzymatic activities for which gene expression was monitored via RT-PCR. Numbers in parentheses are the numbers of genes identified. 4MTB, 4-methylthiobutyl GSL; 4MSOB, 4-methylsulfinylbutyl GSL; 4BTEY, 3-butenyl GSL; 4OHB, 4-hydroxybutyl GSL; 3MTP, 3-methylthiopropyl GSL; 3MSOP: 3-methylsulfinylpropyl GSL; 3PREY: 2-Propenyl GSL; I3M: indolyl-3-methyl GSL.</p>
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<p>RT-PCR analysis of selected glucosinolate biosynthesis genes reveals differences in expression between stems of kohlrabi and edible organs of three other subspecies of <span class="html-italic">B. oleracea</span>. Genotypes 1–3, cabbage; 4–6, kale; 7–9, kohlrabi; 10–12, cauliflower.</p>
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33645 KiB  
Article
Development of Decadal (1985–1995–2005) Land Use and Land Cover Database for India
by Parth S. Roy, Arijit Roy, Pawan K. Joshi, Manish P. Kale, Vijay K. Srivastava, Sushil K. Srivastava, Ravi S. Dwevidi, Chitiz Joshi, Mukunda D. Behera, Prasanth Meiyappan, Yeshu Sharma, Atul K. Jain, Jamuna S. Singh, Yajnaseni Palchowdhuri, Reshma. M. Ramachandran, Bhavani Pinjarla, V. Chakravarthi, Nani Babu, Mahalakshmi S. Gowsalya, Praveen Thiruvengadam, Mrinalni Kotteeswaran, Vishnu Priya, Krishna Murthy V. N. Yelishetty, Sandeep Maithani, Gautam Talukdar, Indranil Mondal, Krishnan S. Rajan, Prasad S. Narendra, Sushmita Biswal, Anusheema Chakraborty, Hitendra Padalia, Manoj Chavan, Satish N. Pardeshi, Swapnil A. Chaudhari, Arur Anand, Anjana Vyas, Mruthyunjaya K. Reddy, M. Ramalingam, R. Manonmani, Pritiranjan Behera, Pulakesh Das, Poonam Tripathi, Shafique Matin, Mohammed L. Khan, Om P. Tripathi, Jyotihman Deka, Prasanna Kumar and Deepak Kushwahaadd Show full author list remove Hide full author list
Remote Sens. 2015, 7(3), 2401-2430; https://doi.org/10.3390/rs70302401 - 27 Feb 2015
Cited by 212 | Viewed by 29853
Abstract
India has experienced significant Land-Use and Land-Cover Change (LULCC) over the past few decades. In this context, careful observation and mapping of LULCC using satellite data of high to medium spatial resolution is crucial for understanding the long-term usage patterns of natural resources [...] Read more.
India has experienced significant Land-Use and Land-Cover Change (LULCC) over the past few decades. In this context, careful observation and mapping of LULCC using satellite data of high to medium spatial resolution is crucial for understanding the long-term usage patterns of natural resources and facilitating sustainable management to plan, monitor and evaluate development. The present study utilizes the satellite images to generate national level LULC maps at decadal intervals for 1985, 1995 and 2005 using onscreen visual interpretation techniques with minimum mapping unit of 2.5 hectares. These maps follow the classification scheme of the International Geosphere Biosphere Programme (IGBP) to ensure compatibility with other global/regional LULC datasets for comparison and integration. Our LULC maps with more than 90% overall accuracy highlight the changes prominent at regional level, i.e., loss of forest cover in central and northeast India, increase of cropland area in Western India, growth of peri-urban area, and relative increase in plantations. We also found spatial correlation between the cropping area and precipitation, which in turn confirms the monsoon dependent agriculture system in the country. On comparison with the existing global LULC products (GlobCover and MODIS), it can be concluded that our dataset has captured the maximum cumulative patch diversity frequency indicating the detailed representation that can be attributed to the on-screen visual interpretation technique. Comparisons with global LULC products (GlobCover and MODIS) show that our dataset captures maximum landscape diversity, which is partly attributable to the on-screen visual interpretation techniques. We advocate the utility of this database for national and regional studies on land dynamics and climate change research. The database would be updated to 2015 as a continuing effort of this study. Full article
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<p>Flow diagram of land use and land cover (LULC) Level-II (IGBP Classification) Mapping using multi-season geometrically co-registered satellite images Satellite images.</p>
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<p>Land use and land cover map of India for 2005. This map serves as a reference for 1995 and 1985 LULC maps (shown in <a href="#remotesensing-07-02401-s001" class="html-supplementary-material">supplementary</a>).</p>
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<p>Land-use and land-cover changes in north western India over two decades (1985–2005). (<b>A</b>). Increase in the built up areas at the expense of agricultural areas in the Punjab plains. (<b>B</b>). Increase in the built up areas of Delhi and decrease of the land under agriculture and increase in fallow land in the regions of Haryana and Rajasthan. (<b>C</b>). Decrease in the vegetation cover in the Bundelkhand region mainly due to fragmentation.</p>
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<p>Land-use and land-cover changes in south India over the two decades (1985–2005). (<b>A</b>) Decrease in the vegetation cover to agriculture in Maharashtra and Madhya Pradesh. (<b>B</b>) Increase in the built up around major cities particularly Hyderabad over the two decades mainly at the expense of the wasteland and barren land. (<b>C</b>) Decrease in forest cover and Wasteland and increase in cropland in the Cauvery river basin.</p>
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<p>Landscape of North Eastern India presents dominance of forests and shifting cultivation. (<b>A</b>) Decrease in forest cover types in Assam valley and Garo hills due to felling and shifting cultivation and (<b>B</b>) Decrease in area under evergreen forests and increase in cropland areas in Manipur.</p>
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<p>Loss of forest cover in central India during 1985–2005.</p>
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<p>Increase in crop land during 1985 to 2005 in western India and east coast of south India.</p>
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<p>Map showing the urban growth during 1985–1995–2005. Major urban growth centers in north-west Punjab, western India around Mumbai region and Southern India are also shown.</p>
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<p>Significant changes in plantation area in Peninsular India and Western Himalaya during 1985–2005.</p>
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<p>Comparative evaluation of LULC 2005 India product with MODIS Land Product and GlobCover using cumulative diversity of patch classes.</p>
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<p>Comparison of resolution of LULC 2005 India product with MODIS Land Product and GlobCover—2005.</p>
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<p>The monthly average rainfall pattern was lowest during 1984–1986 (<b>A</b>); compared to 1994–1996 (<b>B</b>); and 2004–2006 (<b>C</b>). The rainfall pattern has affected net cropland area during the mapping periods.</p>
Full article ">Figure 12 Cont.
<p>The monthly average rainfall pattern was lowest during 1984–1986 (<b>A</b>); compared to 1994–1996 (<b>B</b>); and 2004–2006 (<b>C</b>). The rainfall pattern has affected net cropland area during the mapping periods.</p>
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