Summary of Study ST001879
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001185. The data can be accessed directly via it's Project DOI: 10.21228/M8J407 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST001879 |
Study Title | Proteomics reveals an increase in the abundance of glycolytic and ethanolic fermentation enzymes in developing sugarcane culms during sucrose accumulation |
Study Summary | Sugarcane is an economically important crop contributing to the world’s sugar and ethanol production with 80% and 40%, respectively. Metabolites from I5-4M and I9-4M were extracted from six biological samples of four-month-old plants. Following the removal of leaves, the internodes were identified and cut, and the bark removed, and the remaining tissue was immediately frozen in liquid nitrogen. |
Institute | ESALQ-USP |
Department | Genetics |
Laboratory | Laboratório Max Feffer de Genética de Plantas |
Last Name | Cataldi |
First Name | Thais |
Address | Padua Dias Avenue, 11, Piracicaba, São Paulo, 13418-900, Brazil |
thais.cataldi@usp.br | |
Phone | +551934294248 |
Submit Date | 2021-07-19 |
Raw Data Available | Yes |
Raw Data File Type(s) | cdf |
Analysis Type Detail | GC-MS |
Release Date | 2022-02-16 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001185 |
Project DOI: | doi: 10.21228/M8J407 |
Project Title: | Proteomics reveals an increase in the abundance of glycolytic and ethanolic fermentation enzymes in developing sugarcane culms during sucrose accumulation |
Project Type: | Untargeted GC-MS |
Project Summary: | GC-MS based approach studies on sugarcane (Saccharum spp) internode development. |
Institute: | ESALQ-USP |
Department: | Genetics |
Laboratory: | Laboratório Max Feffer de Genética de Plantas |
Last Name: | Cataldi |
First Name: | Thaís |
Address: | Padua Dias Avenue, 11 |
Email: | thais.cataldi@usp.br |
Phone: | 1934294248 |
Funding Source: | CAPES, FAPESP |
Subject:
Subject ID: | SU001956 |
Subject Type: | Plant |
Subject Species: | Saccharum spp |
Species Group: | Plants |
Factors:
Subject type: Plant; Subject species: Saccharum spp (Factor headings shown in green)
mb_sample_id | local_sample_id | Treatment |
---|---|---|
SA174909 | 210514_IJ1colmo_1.cdf | I5_4M |
SA174910 | 210514_IJ6colmo_1.cdf | I5_4M |
SA174911 | 210514_IJ5colmo_1.cdf | I5_4M |
SA174912 | 210514_IJ2colmo_1.cdf | I5_4M |
SA174913 | 210514_IJ3colmo_1.cdf | I5_4M |
SA174914 | 210514_IJ4colmo_1.cdf | I5_4M |
SA174915 | 20210513_ColmIM6_1.cdf | I9_4M |
SA174916 | 20210513_ColmIM5_1.cdf | I9_4M |
SA174917 | 20210513_ColmIM1_1.cdf | I9_4M |
SA174918 | 20210513_ColmIM2_1_1.cdf | I9_4M |
SA174919 | 20210513_ColmIM3_1.cdf | I9_4M |
SA174920 | 20210513_ColmIM4_1.cdf | I9_4M |
Showing results 1 to 12 of 12 |
Collection:
Collection ID: | CO001949 |
Collection Summary: | Sugarcane internodes (I5 and I9) from 4 month-old plants were harvested and frozen in liquid nitrogen. |
Sample Type: | Plant |
Treatment:
Treatment ID: | TR001968 |
Treatment Summary: | Sugarcane cultivar SP80-3280 was grown in greenhouse conditions, at Piracicaba, São Paulo, Brazil (22°43’31’’S; 47°38’57’’W). Culms with one bud were planted in plastic trays and after acclimatization for two months, nine plants were transferred to 100 L plastic pots, containing soil (latosol). The temperature in the greenhouse was automatically adjusted to 28ºC ± 1ºC and 12/12 h light/dark photoperiod. Plants were watered to maintain soil capacity once a day, in the morning. Fertilizer was supplied once a week using a commercial fertilizer (Plant Prod®, N 15: P2O5 15: K2O 30, Plant Products CO. Canada) at the rate of 2 L per pot (4g/L). The replicates, distributed in a randomized design, were harvest at 4 month-old. During harvest, leaves were excised from the main culm and the internodes 5 and 9 from each plant, were separated and peeled from the top towards the base. Each individual internode was frozen in liquid nitrogen and kept at -80ºC. Six biological replicates from each internode were harvested. |
Sample Preparation:
Sampleprep ID: | SP001962 |
Sampleprep Summary: | Metabolites from I5-4M and I9-4M were extracted from six biological samples of four-month-old plants. Following the removal of leaves, the internodes were identified and cut, and the bark removed (see supplementary figure S2), and the remaining tissue was immediately frozen in liquid nitrogen. Prior to metabolite extraction frozen internode tissue (100 mg) was grounded under liquid nitrogen using a vibration mill (MM 301 Retch GmbH & Co, Haan, Germany) set to a frequency of 30 Hz s-1 for 45 s, with pre-chilled holders and 3 mm tungsten beads. Internode metabolites were extracted by adding 500 μl of pre-chilled methanol (MeOH): chloroform (CHCl3): water (H20) (6:2:2 v/v/v). The extract was vortexed vigorously, sonicated at 40 Hz s-1 for 15 min and centrifuged at 14.000 x g (Eppendorf Centrifuge 5415R) for 10 min at 4°C. The supernatant was filtered (Millipore filter PVDF 0.22 μm) and 100 μl of each sample was transferred to vials and evaporated until dryness. Samples were derivatized according to Gullberg et al. (2004) with 30 μl of methoxyamine hydrochloride (15 mg ml-1) in pyridine for 16 h at room temperature. The samples were trimethylsilylated by adding 30 μl of N-methyl-N- (trimethylsilyl) trifluoroacetamide (MSTFA) containing 1% trimethylchlorosilane (TMCS), the resulting mixture stand at room temperature for 1 h. After silylation, 30 μl of heptane was added. Stable isotope reference compounds [1 mg ml-1 each of (13C3)-myristic acid, (13C4)-palmitic acid and (2H4)-succinic acid] were added in samples prior to derivatization and used as external standard for quality control. Derivatized samples were analyzed according to Gullberg et al. (2004). Blank control samples and a series of n-alkanes (C12–C40), which allowed retention indices to be calculated (Schauer et al., 2005) were also used. |
Combined analysis:
Analysis ID | AN003039 |
---|---|
Analysis type | MS |
Chromatography type | GC |
Chromatography system | Agilent 7890A |
Column | Agilent DB5 (20m x 0.18 mm i.d. x 0.18 μm) |
MS Type | EI |
MS instrument type | GC x GC-TOF |
MS instrument name | Leco Pegasus 4D GCxGC TOF |
Ion Mode | UNSPECIFIED |
Units | relative intensity |
Chromatography:
Chromatography ID: | CH002254 |
Chromatography Summary: | One microliter of each derivatized sample was injected splitless into a gas chromatograph 7890A (Agilent Technologies, Santa Clara, USA) coupled with a Comb-xt Autosampler (Leap Technologies, Carrboro, USA). A 20m x 0.18 mm i.d. x 0.18 μm film thickness, DB5 GC capillary column (Agilent Technologies) was used as the primary column and the secondary GC columns was a 0.69 m x 0.1 mm i.d. x 0.1 μm film thickness (Rxi-17 Restek, Bellefonte, USA). The injector temperature was 280°C, the septum purge flow rate was 20 ml min-1 and the purge was turned on after 60 s. The gas helium flow rate through the column was 1 ml min-1, the column temperature was held at 80°C for 2 min, then increased by 15°C min-1 to 305°C, and held there for 10 min. |
Instrument Name: | Agilent 7890A |
Column Name: | Agilent DB5 (20m x 0.18 mm i.d. x 0.18 μm) |
Chromatography Type: | GC |
MS:
MS ID: | MS002829 |
Analysis ID: | AN003039 |
Instrument Name: | Leco Pegasus 4D GCxGC TOF |
Instrument Type: | GC x GC-TOF |
MS Type: | EI |
MS Comments: | The column effluent was introduced into the ion source of a GC×GC/TOF-MS (Pegasus 4D, Leco Corp., St. Joseph, USA). The transfer line and the ion source temperatures were 280 and 250°C, respectively. Ions were generated by a 70-eV electron beam at an ionization current of 2.0 mA, and 10 spectra s-1 were recorded in the mass range m/z 45–800. The ChromaTOF software v. 4.51 (Leco Corp., St. Joseph, USA) was used to perform baseline correction, deconvolution, peak detection, retention time alignment and library matching. NIST mass spectral library was used to metabolite identification. Multivariate (Partial least squares-discriminant analysis, PLS-DA) and univariate (t-test, FDR adjusted p ≤ 0.05) analysis were done in MetaboAnalyst 5.0 (Xia et al., 2015). To reduce systematic variance and to improve the performance for downstream statistical analysis data were log-transformed and auto-scaled prior to data analysis. Metabolites detected in at least three replicates in one group (I5 or I9) and not identified in any replicate of the other group were named “exclusive” metabolites. |
Ion Mode: | UNSPECIFIED |