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> Living Beings > Plant > Mangifera indica

Mangifera indica

Mangifera indica, also known as the mango, is a tropical fruit tree native to South Asia.
It belongs to the family Anacardiaceae and is a popular crop cultivated worldwide for its sweet, juicy, and nutritious fruit.
The mango tree can grow up to 40 meters tall and has large, glossy green leaves.
The fruit is oval-shaped, with a smooth, waxy skin that ranges in color from green to yellow, orange, or red depending on the variety.
Mangoes are a rich source of vitamins, minerals, and antioxidants, making them a healthy and delicious addition to the diet.
Researchers are continually exploring the potential health benefits and applications of Mangifera indica through various studies and experiments.

Most cited protocols related to «Mangifera indica»

1
Identifying Significant Chromatin Interactions
Cited 51 times
HiCCUPS will not run on an interaction matrix that is too sparse (less than 300m filtered reads), and so for our low cell number samples which were not sequenced as deeply, we used the Fit-HiC contact caller. We also processed our 25m cell libraries with Fit-HiC for the comparisons in Figure 1d and Supplementary Figure 2a.
Bin pairs of the interaction matrix with statistically significant contact signal were identified using Fit-HiC19 (link). Genome wide intra-chromosomal bin pairs were filtered for an interaction distance between 20kb and 2Mb, and default Fit-HiC settings were used to calculate false discovery rate (FDR) values for each bin-pair in a given HiChIP experiment. For the comparison of mESC experiments in Figure 1D, Smc1a HiChIP binpairs or Smc1a ChIA-PET high-confidence interactions13 (link) were filtered for overlap with Smc1a ChIP-seq peaks. The appropriate FDR was selected for each HiChIP experiment to result in approximately 10,000 contacts per experiment.
GM12878 Smc1a HiChIP filtered PETs from the HiC-Pro pipeline were processed through stages 4 and 5 of the Mango17 (link) pipeline to call significant interactions. Stage 4 applies MACS218 to call peaks using PETs. Stage 5 modeled the background interactions by taking interaction distance and depth into consideration and used a binomial distribution to call significant interactions. With our Mango parameters of PETs >= 4 and a FDR cutoff of 10−4 we obtained 61395 significant interactions.
The Juicer pipeline’s HiCCUPS tool was used to identify loops5 (link),20 (link),21 (link). Filtered read-pairs from the HiC-Pro pipeline were converted into .hic format files and input into HiCCUPS. The same parameters used for GM12878 Hi-C5 (link),20 (link),21 (link) were used on the HiChIP datasets as follows: hiccups -m 500 -r 5000,10000 -f 0.1,0.1 -p 4,2 -i 7,5 -d 20000,20000 HiCCUPS_output.txt
Mumbach M.R., Rubin A.J., Flynn R.A., Dai C., Khavari P.A., Greenleaf W.J, & Chang H.Y. (2016). HiChIP: Efficient and sensitive analysis of protein-directed genome architecture. Nature methods, 13(11), 919-922.
Publication 2016
Cells ChIP-PET Chromatin Immunoprecipitation Sequencing Chromosomes Genome Mangifera indica Mouse Embryonic Stem Cells Pets
2
Meta-Analysis of Neuroimaging Experiments
Cited 20 times
Using ALE, the identified literature coordinates were modeled with a three-dimensional Gaussian distribution, and their convergence across experiments was quantitatively assessed. Rather than using a pre-specified FWHM as in the original ALE approach, an algorithm was employed to model the spatial uncertainty of each focus using an estimation of the inter-subject and inter-laboratory variability typically observed in neuroimaging experiments. This algorithm limits the meta-analysis to an anatomically constrained space specified by a grey matter mask, and includes a method that calculates the above-chance clustering between experiments (i.e., random-effects analysis), rather than between foci (i.e., fixed-effects analysis) (Eickhoff et al., 2009b (link)).
ALE was performed in Talairach space using GingerALE 2.0. Coordinates originally published in MNI space were converted to Talairach space using the Lancaster (icbm2tal) transformation (Lancaster et al., 2007 (link)). The resultant ALE map was thresholded at a false discovery rate (FDR) corrected threshold of P < 0.005 (Laird et al., 2005a (link)), a conservative threshold that was selected to determine only the most strongly concordant regions. Images were viewed in Mango (multi-image analysis GUI), developed at the Research Imaging Center in San Antonio (http://ric.uthscsa.edu/mango/).
Laird A.R., Eickhoff S.B., Li K., Robin D.A., Glahn D.C, & Fox P.T. (2009). Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling. The Journal of Neuroscience, 29(46), 14496-14505.
Publication 2009
Gray Matter Mangifera indica
3
Delineation of Midbrain Dopaminergic Nuclei
Cited 10 times

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Publication 2014
Anatomic Landmarks Cerebral Aqueduct Cerebral Peduncle Gray Matter Mangifera indica Red Nucleus Tectum, Optic Ventricles, Fourth Ventricles, Third White Matter
4
Twitter Analysis of JUUL Vaping Discussions
Cited 9 times

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Publication 2018
Adolescent cDNA Library Character Ethics Committees, Research Flavor Enhancers Friend Mangifera indica Mentha Student Vaporizers Woman
5
High-Quality Nuclear DNA Extraction and Sequencing from N. benthamiana
Cited 9 times
The N. benthamiana used throughout this study is from an accession called ‘LabBenth’ that is routinely used at CSIRO, University of Sydney and New Zealand Institute of Plant and Food Research and available upon request. The nuclei were isolated as previously described [29] , with the following modifications: 20 g of fully developed leaves were homogenized in a kitchen blender at maximum speed for 30 s in 300 mL ice cold nuclei isolation buffer (0.5 M mannitol, 10 mM PIPES, 10 mM MgCl2, 5 mM β-mercaptoethanol 2%, 10 mM sodium metabisulfite, polyvinylpyrrolidone (MW 40,000), 200 mM Lysine, 6 mM EGTA, pH 6). The homogenate was filtered through 4 layers of cheesecloth and 4 layers of miracloth. The filtrate was lysed by the gradual addition of Triton X-100 to a final concentration of 0.5% and the nuclei-enriched fraction collected by centrifugation (4°C; 15 min at 4967 g) using disposable 50 mL conical tubes. The pellets containing the nuclei were gently resuspended in the same volume of ice cold nuclei isolation buffer without β-mercaptoethanol, and centrifuged again. All pellets were resuspended and combined into 50 mL of the wash buffer and centrifuged again. The pellet was stored at −80°C prior to DNA extraction. The nuclear genomic DNA was extracted using a method originally optimised for RNA extraction from mango mesocarp [30] with some modifications as described in Hilario et al. [31] (link). The RNaseA treatment was performed during the lysis step and the phenol:chloroform extraction was omitted. The nuclear genomic DNA pellet was resuspended in 500 µL 10 mM Tris, 1 mM EDTA, pH 8 and centrifuged at 10000 g for 30 min to remove remnant starch granules. The starch-free supernatant containing nuclear genomic DNA was quantified by spectrophotometry at 260, 280 and 230 nm and stored at 4°C. A sample of DNA was analysed by pulse field gel electrophoresis to estimate the fragment size of the extracted sample at greater than ≥40 kbp.
Nuclear genomic DNA was sheared to an insert size of either ∼180 bp or ∼500 bp (Table 1) and prepared for paired-end sequencing on the Illumina HiSeq2000™ platform according to the manufacturer’s instructions. A LIMP (long insert matepaired end library) was also prepared according to manufacturer’s instructions and subsequently sequenced on one lane of the HiSeq2000™ platform. This library was subsequently analysed to contain ∼2000 bp inserts.
Naim F., Nakasugi K., Crowhurst R.N., Hilario E., Zwart A.B., Hellens R.P., Taylor J.M., Waterhouse P.M, & Wood C.C. (2012). Advanced Engineering of Lipid Metabolism in Nicotiana benthamiana Using a Draft Genome and the V2 Viral Silencing-Suppressor Protein. PLoS ONE, 7(12), e52717.
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Publication 2012
2-Mercaptoethanol Buffers Cell Nucleus Centrifugation Chloroform Common Cold Cytoplasmic Granules DNA, A-Form DNA Library Edetic Acid Egtazic Acid Electrophoresis Food Genome isolation Lysine Magnesium Chloride Mangifera indica Mannitol Pellets, Drug Phenol piperazine-N,N'-bis(2-ethanesulfonic acid) Plants Povidone Pulse Rate sodium metabisulfite Spectrophotometry Starch Triton X-100 Tromethamine

Most recents protocols related to «Mangifera indica»

1
Generation of In-frame Deletion Mutants
In-frame deletion mutants were generated using the suicide plasmid pEXG2 as described in Klein et al.34 (link) or its derivate pEXTK. In pEXTK, the sacB gene is replaced by a thymidine kinase gene. If pEXTK based mutator plasmids were used in the mutagenesis procedure, the positive selection to obtain a second crossover was performed by incubating merodiploidic clones for 3 h in 5 ml LB medium containing IPTG (1 mM). Subsequently, bacteria were positively selected by streaking bacteria on LB agar plates containing 200 µg/ml azidothymidine (Acros Organics) and 1 mM IPTG. Bacteria were then tested for loss of gentamicin sensitivity and mutants were verified by PCR as described previously34 (link). In brief, genomic DNA was isolated using the DNeasy Ultraclean Microbial Kit (Qiagen) and approximately 20 ng DNA was used to perform PCR using Mango Mix (Bioline), primers (Sigma-Aldrich) and water. Two primer pairs were used, namely (i) gene of interest (GOI) seqF and GOI seqR and (ii) GOI seqF and GOI insideR to distinguish between wildtype and mutant. The generated mutants and the primers used in this study are listed in Supplementary Data 1 or 2, respectively.
Eggers O., Renschler F.A., Michalek L.A., Wackler N., Walter E., Smollich F., Klein K., Sonnabend M.S., Egle V., Angelov A., Engesser C., Borisova M., Mayer C., Schütz M, & Bohn E. (2023). YgfB increases β-lactam resistance in Pseudomonas aeruginosa by counteracting AlpA-mediated ampDh3 expression. Communications Biology, 6, 254.
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Publication 2023
Agar Bacteria Clone Cells Deletion Mutation Genes Genome Gentamicin Hypersensitivity Isopropyl Thiogalactoside Mangifera indica Mutagenesis Oligonucleotide Primers Plasmids Reading Frames Thymidine Kinase Zidovudine
2
Multimodal Imaging and Volumetry for CSF Assessment
Whisker-box and correlation plots were generated using Graphpad and radar plots comparing DWI and IVIM values ROI-wise were generated using OriginPro (v. 2020, OriginLab Corporation, Northampton, MA).
For the purpose of 3D-CISS volumetry and cisternography figures plotting or to visually depict the CSF signal changes within the DCE-MRI time-series, all 3D maximum intensity projection and multiplanar reconstruction images were generated using Amira version 6.2 (Thermo Fisher Scientific, Waltham, MA, USA). 3D-CISS surface reconstructions were performed using Mango Image Analysis software (v.4.1, Research Imaging institute, UTHSCA).
To representatively visualize both AQP4 channel and vascular immunohistochemistry staining, a confocal microscopy (objective UplanXApo 60x / numerical aperture 1.42, ∞ / compatible cover glass thickness 0.17 mm / field number 26.5 mm, oil immersion; Olympus) was performed in a representative section from a single WT animal. Single FOVs were acquired in a 401×401 px / 166.14×166.13 µm frames (0.172 µm2/pixel) and overlaid in ImageJ to visualize both the position of AQP4 channels as well as the vasculature in a representative image.
Gomolka R.S., Hablitz L.M., Mestre H., Giannetto M., Du T., Hauglund N.L., Xie L., Peng W., Martinez P.M., Nedergaard M, & Mori Y. (2023). Loss of aquaporin-4 results in glymphatic system dysfunction via brain-wide interstitial fluid stagnation. eLife, 12, e82232.
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Publication 2023
Animals Blood Vessel CISH protein, human Mangifera indica Microscopy, Confocal PX 13 Reading Frames Reconstructive Surgical Procedures Submersion Vibrissae
3
Mango Shelf-life Optimization with Deep Q-Learning
An AI agent selects the best action for the batches of mangoes based on the estimated shelf-life or the first import's mango. The program starts by defining the parameters of Deep Q-learning, and thereafter defines three classes and a function. These three classes define the environment, neural network, and Deep Q-learning, respectively, while a function runs on the main program. The parameters for Deep Q-learning are as follows: 0.9 for Epsilon, 0.9 for Gamma, 0.01 is the learning rate in an Adam optimizer, memory capacity is 3,000, Q-Network iterations are 100, batch size is 32, and episodes are 1,000. The environment class selects a random integer between 0 and 1,200 for the shelf-life state, 480 array shapes for the shelf-life future projection and creates a store state from 1 to 480 to determine the reward. After 480 steps, the environment is reset to its original parameters and returns an array from the shelf-life state, future projection, and storage state.
Lee C.A., Chow K.M., Chan H.A, & Lun D.P. (2023). Decentralized governance and artificial intelligence policy with blockchain-based voting in federated learning. Frontiers in Research Metrics and Analytics, 8, 1035123.
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Publication 2023
Gamma Rays Mangifera indica Memory
4
Mango Seed Supplementation in Goat Diets
Three experimental diets were used to feed the goats during the experimental period (240 days). All diets contained a concentrate feed mixture [50% concentrate feed mixture (CFM)], fresh berseem (40%), and wheat straw (10%). Mango seeds were added instead of yellow corn grain in the CFM, at concentrations of 0% MS (G1, control), 20% (G2), and 40% (G3). The ingredients of the different CFMs are shown in Table 1.
El-Sanafawy H.A., Maggiolino A., El-Esawy G.S., Riad W.A., Zeineldin M., Abdelmegeid M., Seboussi R., EL-Nawasany L.I., Elghandour M.M., De Palo P, & Salem A.Z. (2023). Effect of mango seeds as an untraditional source of energy on the productive performance of dairy Damascus goats. Frontiers in Veterinary Science, 10, 1058915.
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Publication 2023
Cereals Corns Diet Goat Goldenhar Syndrome Mangifera indica Plant Embryos Triticum aestivum
5
Mango Seed Processing and Composition
Mango seeds consist of approximately 68% kernel, 29% shell, and 3% test (18 (link)). The mango seeds were soaked in water for 3 days to decrease the anti-nutritional factors, air-sundried for 48 h, and then crushed in a forage machine.
El-Sanafawy H.A., Maggiolino A., El-Esawy G.S., Riad W.A., Zeineldin M., Abdelmegeid M., Seboussi R., EL-Nawasany L.I., Elghandour M.M., De Palo P, & Salem A.Z. (2023). Effect of mango seeds as an untraditional source of energy on the productive performance of dairy Damascus goats. Frontiers in Veterinary Science, 10, 1058915.
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Publication 2023
Mangifera indica Plant Embryos

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1
Rnaprep pure plant kit by Tiangen Biotech
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The RNAprep Pure Plant Kit is a laboratory equipment product designed for the isolation and purification of total RNA from a variety of plant samples. It utilizes a silica-based membrane technology to efficiently capture and purify RNA molecules.
2
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The DNeasy Plant Mini Kit is a lab equipment product designed for the isolation and purification of DNA from plant samples. It utilizes a silica-based membrane technology to extract and concentrate DNA effectively from a variety of plant materials.
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Mangotaq dna polymerase by Meridian Bioscience
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MangoTaq DNA polymerase is a thermostable DNA polymerase enzyme used for PCR amplification of DNA fragments. It exhibits 5' to 3' DNA polymerase activity and 3' to 5' exonuclease activity.
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More about "Mangifera indica"

Mangifera indica, also known as the mango, is a tropical fruit tree native to South Asia.
It belongs to the Anacardiaceae family and is a popular crop cultivated worldwide for its sweet, juicy, and nutritious fruit.
The mango tree can grow up to 40 meters tall and has large, glossy green leaves.
The fruit is oval-shaped, with a smooth, waxy skin that ranges in color from green to yellow, orange, or red depending on the variety.
Mangoes are a rich source of vitamins, minerals, and antioxidants, making them a healthy and delicious addition to the diet.
Researchers are continually exploring the potential health benefits and applications of Mangifera indica through various studies and experiments.
Key areas of research include the use of RNAprep Pure Plant Kit, DNeasy Plant Mini Kit, and QIAquick PCR Purification Kit for DNA and RNA extraction, as well as the use of Methanol, TO1-3PEG-biotin, and 0.1 μm spin filters for purification and analysis.
Mango cultivation and processing techniques are also of interest, with the use of MangoTaq DNA polymerase and SYBR Premix Ex Taq II for genetic analysis and quality control.
Overall, the versatility and nutritional value of Mangifera indica make it a valuable subject of scientific inquiry and a popular fruit worldwide.