SE55:/S01/M01/D01

From Metabolonote
jump-to-nav Jump to: navigation, search

Sample Set Information

ID SE55
Title AtMetExpress development: a phytochemical atlas of arabidopsis development
Description We analyzed phytochemical accumulation during development of the model plant Arabidopsis (Arabidopsis thaliana) using liquid chromatography-mass spectrometry in samples covering many growth stages and organs. We also obtained tandem mass spectrometry spectral tags of many metabolites as a resource for elucidation of metabolite structure. These are part of the AtMetExpress metabolite accumulation atlas. Based on the dataset, we detected 1,589 metabolite signals from which the structures of 167 metabolites were elucidated. The integrated analyses with transcriptome data demonstrated that Arabidopsis produces various phytochemicals in a highly tissue-specific manner, which often accompanies the expression of key biosynthesis-related genes. We also found that a set of biosynthesis-related genes is coordinately expressed among the tissues. These data suggested that the simple mode of regulation, transcript to metabolite, is an origin of the dynamics and diversity of plant secondary metabolism.
Authors Fumio Matsuda, Masami Yokota Hirai, Eriko Sasaki, Kenji Akiyama, Keiko Yonekura-Sakakibara, Nicholas J. Provart, Tetsuya Sakurai, Yukihisa Shimada, Kazuki Saito
Reference Matsuda F et al. (2010) Plant Physiology 152: 566-578
Comment


Link icon article.png

Link icon database.png Link icon dropmet.png

The raw data files are available at DROP Met web site in PRIMe database of RIKEN.

Sample Information

ID S01
Title Arabidopsis (accession Columbia-0; Lehle Seeds)
Organism - Scientific Name Arabidopsis thaliana
Organism - ID NCBI taxonomy:3702
Compound - ID
Compound - Source
Preparation Seeds of Arabidopsis thaliana Col-0 was obtained from the ABRC. A. thaliana seedlings were grown under the following conditions.

See the table below.

Sample Preparation Details ID SS01
Comment


Supplemental Table S1 List of tissues analyzed in AtMetExpress developmental dataset
Sample
name
Corresponding
microarray data
in AtGenExpress
Tissue Age Photoperiod Substrate
ATME_ 1 ATGE_ 1 cotypedons 10 days continuous light soil
ATME_ 7 ATGE_ 7 seedling,green parts 10 days continuous light soil
ATME_ 9 ATGE_ 9 root 21 days continuous light soil
ATME_ 10 ATGE_ 10 rosette leaf #4,
1 cm long
14 days continuous light soil
ATME_ 12 ATGE_ 12 rosette leaf #2 21 days continuous light soil
ATME_ 13 ATGE_ 13 rosette leaf #4 21 days continuous light soil
ATME_ 14 ATGE_ 14 rosette leaf #6 21 days continuous light soil
ATME_ 15 ATGE_ 15 rosette leaf #8 21 days continuous light soil
ATME_ 16 ATGE_ 16 rosette leaf #10 21 days continuous light soil
ATME_ 19 ATGE_ 19 leaf7, petiole 21 days continuous light soil
ATME_ 20 ATGE_ 20 leaf7, proximal half 21 days continuous light soil
ATME_ 21 ATGE_ 21 leaf7, distal half 21 days continuous light soil
ATME_ 25 ATGE_ 25 leaf, senescing 35 days continuous light soil
ATME_ 26 ATGE_ 26 cauline leaves 28 days continuous light soil
ATME_ 27 ATGE_ 27 stem, 2nd internode 28 days continuous light soil
ATME_ 28 ATGE_ 28 1st node 28 days continuous light soil
ATME_ 29 ATGE_ 29 shoot apex,
inflorescence
(after bolting)
28 days continuous light soil
ATME_ 32 ATGE_ 32 flowers stage
10/11
28 days continuous light soil
ATME_ 33 ATGE_ 33 flowers stage 12 28 days continuous light soil
ATME_ 39 ATGE_ 39 flowers stage 15 28 days continuous light soil
ATME_ 41 ATGE_ 41 flowers stage 15,
sepals
28 days continuous light soil
ATME_ 42 ATGE_ 42 flowers stage 15,
petals
28 days continuous light soil
ATME_ 45 ATGE_ 45 flowers stage 15,
carpels
28 days continuous light soil
ATME_ 76 ATGE_ 76 siliques, w/seeds
stage 3
28 days long day (16/8) soil
ATME_ 77 ATGE_ 77 siliques, w/seeds
stage 4
28 days long day (16/8) soil
ATME_ 78 ATGE_ 78 siliques, w/seeds
stage 5
28 days long day (16/8) soil
ATME_ 91 ATGE_ 91 leaf 15 days long day (16/8) 1x MS agar,
1% sucrose
ATME_ 92 ATGE_ 92 flower 28 days long day (16/8) soil
ATME_ 93 ATGE_ 93 root 15 days long day (16/8) 1x MS agar,
1% sucrose
ATME_ 95 ATGE_ 95 root 08 days continuous light 1x MS agar,
1% sucrose
ATME_ 96 ATGE_ 96 seedling,green parts 08 days continuous light 1x MS agar
ATME_ 97 ATGE_ 97 seedling,green parts 08 days continuous light 1x MS agar,
1% sucrose
ATME_ 98 ATGE_ 98 root 21 days continuous light 1x MS agar
ATME_ 99 ATGE_ 99 root 21 days continuous light 1x MS agar,
1% sucrose
ATME_101 ATGE_101 seedling,green parts 21 days continuous light 1x MS agar,

1% sucrose

ATME_ 84 RIKEN-NAKABAYASHI seed, mature 16 wk long day (16/8) soil

Sample Preparation Details Information

ID SS01
Title Sample Preparation
Description Collected sample tissues were weighed and stored at -80℃ until analysis.
Comment_of_details

Analytical Method Information

ID M01
Title Metabolic profiling Analysis Using LC-ESI-MS
Method Details ID MS01
Sample Amount 3 μL
Comment

Analytical Method Details Information

ID MS01
Title Metabolic profiling Analysis Using LC-ESI-MS
Instrument Waters Acquity UPLC system and Waters Q-TOF Premier
Instrument Type UPLC-QTOF-MS
Ionization ESI
Ion Mode Negative
Description The frozen tissues were homogenized in five volumes of 80% aqueous methanol containing 0.1% acetic acid, 0.5 mg/L of lidocaine, and d-camphor sulfonic acid (Tokyo Kasei) using a mixer mill (MM 300, Retsch) with a zirconia bead for 6 min at 20 Hz. Following centrifugation at 15,000g for 10 min and filtration (Ultrafree-MC filter, 0.2 mm, Millipore), the sample extracts were applied to an HLB mElution plate (Waters) equilibrated with 80% aqueous methanol containing 0.1% acetic acid.

Metabolome analysis was performed with an LC-ESI-Q-TOF/MS system equipped with an ESI interface (HPLC: Waters Acquity UPLC system; MS: Waters Q-TOF Premier) operated under previously described conditions (Matsuda et al., 2009). In the negative ion mode, the MS conditions were as follows: capillary voltage: +3.0 keV; cone voltage: 22.5 V; source temperature: 120℃; desolvation temperature: 450℃; cone gas flow: 50 L/h; desolvation gas flow: 800 L/h; collision energy: 2 V; detection mode: scan (m/z 100–2,000; dwell time: 0.45 s; interscan delay: 0.05 s, centroid); dynamic range enhancement mode: on. The scans were repeated for 19.5 min in a single run.

Comment_of_details

Data Analysis Information

ID D01
Title Profiling by MetAlign and MS2T-based peak annotation
Data Analysis Details ID DS01
Recommended decimal places of m/z Default
Comment


Data Analysis Details Information

ID DS01
Title Profiling by MetAlign and MS2T-based peak annotation
Description The scans were repeated for 19.5 min in a single run. The raw data were recorded with the aid of MassLynx version 4.1 software (Waters).The raw chromatogram data were processed to produce a data matrix consisting of 1,589 metabolite signals (773 from positive and 816 from negative ion mode; Supplemental Data S1) using MetAlign (Lommen, 2009). The parameters used for data processing were as follows: maximum amplitude, 10,000; peak slope factor, 1; peak threshold factor, 6; average peakwidth at half weight, 8; scaling options, none; maximum shift per scan, 35; select min nr per peak set, 4. The data matrix generated by MetAlign was processed with inhouse software written in Perl/Tk (Matsuda et al., 2009). By this procedure, the metabolite signals eluted before 0.85 min and after 12.0 min were discarded, original peak intensity values were divided with those of the internal standards (lidocaine: m/z = 235 [M + H]+, eluted at 4.19 min; camphor-10-sulfonic acid: m/z = 231 [M 2 H]2, eluted at 3.84 min, for the positive and negative ion modes, respectively) to normalize the peak intensity values, discarding low-intensity data (under signal-to-noise ratio , 5), and isotope peaks were removed by employing specific parameters (rthres . 0.8, DRt = 0.5 s, and Dm/z = 2 D). Metabolite signals were assigned unique accession codes, such as adn031026 (representing AtMetExpress Development negative ion mode data, peak number 31026).

MS2T data were acquired from nine tissues of Arabidopsis and processed to create 36 MS2T libraries using previously described methods (Matsuda et al., 2009). Each MS2T entry was assigned a unique accession code, such as ATH10n03690, in which ATH10n is the name of the library and 03690 is the entry number. A total of 36 MS2T libraries with 476,120 accession codes were created in this study (Supplemental Table S2). The MS2T libraries contain a high volume of redundant and low-quality data (Matsuda et al., 2009). Since the metabolic profile data and the MS2T libraries were acquired using compatible analytical conditions, a metabolite signal obtained in the profile can be tagged with MS2Ts obtained from a corresponding metabolite with identical unit mass eluting at a similar retention time. By this method, approximately 95% of the metabolite signals were tagged with at least one MS2T. The mean number of MS2Ts tagged to each metabolite peak was 13.5.

Comment_of_details


Link icon database.png Link icon ms2t.png

The peak data files of this analysis are available at MS2T.

Personal tools
View and Edit Metadata
Variants
Views
Actions