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Crop metabolome database (CropMetabolome) is an integrated platform for crop metabolome databases and analysis tools that is dedicated to metabolic profiling, metabolite identification, referencing standards, and repository and dissemination of crop metabolomics data.
Data Resources:
- Metabolomics data library: Mass spect experiments for 50+ crops including Cereals, Pulses, Feed Crops, etc.
- Reference metabolome library: Metabolite reference libraries for each of the 50+ crops.
- Standard compound mass spectra library: 135,400+ experimental spectra and 189,600+ in silico spectra.
- Flavonoids library: 1,100+ flavonoid motifs and 140+ neutral losses.
- Pesticide library: 1,800+ pesticidal compounds and their associated mass spectra (7,200+).
Analytical tools:
- Structure Query: Search CropMetabolome Database with a structure sketch.
- Molecular Weight Query: Search CropMetabolome Database by molecular weight.
- Combined Query: Search CropMetabolome Database by combined parameters.
- LC-MS Query: Search CropMetabolome Database by m/z values of precursor ions in acquired crop samples.
- LC-MS/MS Query: Search CropMetabolome Database by MS1 (parent Ion m/z) and MS2 (fragment Ions m/z) values.
- CropRefMetaBlast: Analyze a sample spectra by comparing with a selected crop reference metabolome.
- CompoundLibBlast: Analyze and annotate a sample spectra with our standard compound mass spectra libraries.
- PesticiDiscover: Detecting pesticide residues in samples by searching pesticide library for matching MS/MS spectra.
- FlavoDiscover: Detecting flavonoid derivatives by matching in-source fragment ions of our flavonoids library.
Metabolites Query:
Metabolites identification:
Citing the CropMetabolome Database :
1. Han Shi#, Yan Zhu#, Xueting Wu#, Tao Jiang#, Xuetong Li, Jianju Liu, Ye Di, Feng Chen, Jinshan Gao, Xiaoyan Xu, Ning Xiao, Xianzhong Feng,
Peng Zhang, Yongrui Wu, Qiong La, Aihong Li, Ping Chen*, Xuan Li*. CropMetabolome: a comprehensive metabolome database for major crops cross
eight categories, The Plant Journal,
doi:epdf/10.1111/tpj.16858.
2. Xuetong Li#, Hongxia Zhou#, Ning Xiao, Xueting Wu, Yuanhong Shan, Longxian Chen, Cuiting Wang, Zixuan Wang, Jirong Huang*, Aihong Li*, Xuan Li*.
Expanding the Coverage of Metabolic Landscape in Cultivated Rice with Integrated Computational Approaches, Genomics Proteomics Bioinformatics,
2022 Aug;20(4):702-714.
doi:10.1016/j.gpb.2020.06.018.