Metabolomics

Dataset Information

0

The natural variance of the Arabidopsis floral secondary metabolites


ABSTRACT: Application of mass spectrometry-based metabolomics enables the detection of genotype-related natural variance in metabolism. Differences in secondary metabolite composition of flowers of 64 Arabidopsis thaliana (Arabidopsis) natural accessions, representing a considerable portion of the natural variation in this species are presented. The raw metabolomic data of the accessions and reference extracts derived from flavonoid knockout mutants have been deposited in the MetaboLights database. Additionally, summary tables of floral secondary metabolite data are presented in this article to enable efficient re-use of the dataset either in metabolomics cross-study comparisons or correlation-based integrative analysis of other metabolomic and phenotypic features such as transcripts, proteins and growth and flowering related phenotypes.

INSTRUMENT(S): LTQ XL (Thermo Scientific)

PROVIDER: MTBLS528 | MetaboLights | 2018-04-03

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
10_1.RAW Raw
10_1.cdf Other
10_2.RAW Raw
10_2.cdf Other
10_3.RAW Raw
Items per page:
1 - 5 of 436
altmetric image

Publications

The natural variance of the Arabidopsis floral secondary metabolites.

Tohge Takayuki T   Borghi Monica M   Fernie Alisdair R AR  

Scientific data 20180403


Application of mass spectrometry-based metabolomics enables the detection of genotype-related natural variance in metabolism. Differences in secondary metabolite composition of flowers of 64 Arabidopsis thaliana (Arabidopsis) natural accessions, representing a considerable portion of the natural variation in this species are presented. The raw metabolomic data of the accessions and reference extracts derived from flavonoid knockout mutants have been deposited in the MetaboLights database. Additi  ...[more]

Similar Datasets

2022-01-01 | GSE185114 | GEO
2011-12-31 | GSE29786 | GEO
2022-11-18 | MTBLS338 | MetaboLights
2015-01-13 | GSE64870 | GEO
2015-01-13 | E-GEOD-64870 | biostudies-arrayexpress
2018-09-25 | PXD010518 | Pride
2016-05-21 | GSE69167 | GEO
2011-12-31 | E-GEOD-29786 | biostudies-arrayexpress
2023-11-06 | GSE228303 | GEO
2024-05-10 | GSE252913 | GEO