Garcinia Mangostana L. (mangosteen) Seed

Published: 2021-09-02 02:00:10
essay essay

Category: Biology

Type of paper: Essay

This essay has been submitted by a student. This is not an example of the work written by our professional essay writers.

Hey! We can write a custom essay for you.

All possible types of assignments. Written by academics

GET MY ESSAY
Abstract
Garcinia mangostana L. (mangosteen) seed is recalcitrant, prone to low temperature and drying which limit its long-term storage. Therefore, it is imperative to understand the metabolic changes throughout its development, to shed some light into the recalcitrant nature of this seed. We performed metabolomics analysis on mangosteen seed at different stages of development; six, eight, ten, twelve and fourteen weeks after anthesis. Seed samples were subjected to methanol extraction prior analysis using liquid chromatography – mass spectrometry (LC-MS). The MS data acquired were analyzed using ProfileAnalysis . This data article refers to the article entitled “Metabolomics analysis of developing Garcinia mangostana seed reveals modulated levels of sugars, organic acids and phenylpropanoid compounds”.
Value of the data

Metabolite profile was acquired from LC-MS platform for mangosteen seed development at different stages of development (six, eight, ten, twelve and fourteen weeks after anthesis) for the first time.
This allows for identification of metabolites and their temporal changes during mangosteen seed development.
Metabolite changes and regulation in mangosteen seed development elucidated using metabolomics analysis may improve our understanding about mangosteen seed development.
Additionally, this data can be analyzed in complementary with transcriptomics data to illuminate the metabolic or biosynthetic pathways in mangosteen seed development.

Data
This data set is analyzed data of five mangosteen seed developmental stages (six, eight, ten, twelve and fourteen weeks after anthesis) that were imported into ProfileAnalysis and then tabulated in MS Excel (XLSX format).Plant materials
Mangosteen fruit were obtained from Universiti Kebangsaan Malaysia (UKM) mangosteen plots (Bangi, Selangor, Malaysia) (GPS coordinate: 2.922662°E, 101.786690°N). There were around 15 mangosteen trees in the plot with age between 15 to 20 years old. Each fruit was first tagged at anthesis and its development observed. Fruits were randomly picked, and seeds were sampled and pooled from at least six biological replicates (independent fruit) at six, eight, ten, twelve and fourteen weeks after anthesis and stored at -80°C until experiment.
Metabolite extraction
Pooled whole seeds were finely grounded and three replicates (0.1 g fresh weight per replicate) were used for metabolite extraction at each stages of development. Samples were homogenized (in 1400 µL of methanol) and incubated (15 min, 70°C). The extract was mixed briskly with 1 volume of water and centrifuged at 2200 × g. The supernatant was vacuum dried for four to six hours then stored at – 80°C until analysis.
Liquid Chromatography-Mass Spectrometry (LC-MS) protocol
LC-MS analysis was carried out using Dionex liquid chromatography platform (Ultimate 3000 UHPLC+, Thermo Scientific) coupled with MS system MicroTOF-QIII (Bruker, Germany) MS system [1, 5-6]. The LC parameters were set as follows; 1.0 µL injection volume, column temperature 60°C and 0.3 mL/min flow rate. The LC mobile phase consisted of 0.1 % formic acid in water (A) and mobile phase B (100 % acetonitrile). The elution run for 35 min with the gradient parameters: 0 to 5 % B in 2 min, 5 to 40 % B in 2 min and 40 to 95 % B in 16 min. The mixture was then held at 95 % B for 2 min before increasing to 100 % B in 0.1 min.
The mixture was held at 100 % B for 4 min and then decreased to 5 % B in 2 min. The column was reconditioned with initial gradient for 7 min. Mass spectrometry analysis was performed using MicroTOF-Q hybrid quadrupole time of flight mass spectrometer (Bruker, Germany), outfitted with an electrospray ion source (ESI) using the following parameters; nebulizer pressure: 1.2 bar, drying gas: 8 L/min at 200°C, capillary voltage: 4500 V, end plate off set: -500 V, funnel 1 RF: 200 Vpp, funnel 2 RF: 200 Vpp. Analysis were done in positive ionization mode with spectra scan range set from 50 to 1000 m/z range. All spectra recorded were in centroid mode.
Mass spectrometry data handling
Raw data from MS were imported into ProfileAnalysis version 2.1 (Bruker, Germany). For bucketing, the parameters for Find Molecular Features were manipulated (S/N threshold: 5, correlation coefficient: 0.7, minimum compound length was: 10, smoothing width: 2). Bucket was generated with the following settings: retention time range (0.1 minutes to 30.00 minutes), mass range (50m/z to 1000m/z), normalization (largest bucket value in analysis). Then the data were tabulated using Microsoft Excel 2016.

Warning! This essay is not original. Get 100% unique essay within 45 seconds!

GET UNIQUE ESSAY

We can write your paper just for 11.99$

i want to copy...

This essay has been submitted by a student and contain not unique content

People also read