Widely-targeted Metabolomics Database in Rice

Widely Targeted Metabolite Detection
MWDB Major Upgrade: 20,000 plant metabolites

MWDB (Metware Database) can now detect 20000 types of plant metabolites

Since 2014, Metware Biotechnology has been pushing the boundaries of metabolite
detection. Our featured product Widely-Targeted Microbiome Metabolomics for
Plants has been undergoing a major upgrade this year where our identifiable
plant endogenous metabolites rose to 20,000, a doubling from our previous plant
metabolomics database of 10,000!

Average identified metabolites: 1,300 metabolites detected in real samples

Applying this database to the detection of different species or tissue types,
the average number of substances detected in a sample can be as much as 1300.
Below, we present real outputs using Oryza sativa samples.

Unvealing the data:

The graph below shows different tissues types from O. sativa averages to 1300
identified metabolites.
The data reveals that we can detect over 800 secondary metabolites and over 400
primary metabolites. Our observations here is in concordance with published
literature where primary metabolites in plants are relatively conserved ranging
around 1000 types, whereas secondary metabolites vary greatly between species
and can range from 0.2 ~ 1 million. This is a significant improvement in
identifying secondary metabolites in plants.

Analysis of detected metabolites: wide-coverage

Analyzing the metabolites in various tissues, we find that flavonoids and
phenolic acids stands out whereas other metabolites show large differences
between tissue types. Due to these differences, it is best to cover all types
of metabolites in a metabolomics study.

Reference:

1. A multi-omic study uncovers a bZIP23-PER1A–mediated detoxification pathway
to enhance seed vigor in rice.

2. Rice metabolic regulatory network spanning its entire life cycle.

3. A molecular switch in sulfur metabolism to reduce arsenic and enrich
selenium in rice grain.

4. Loss function of SL (Sekiguchi lesion) in the rice cultivar Minghui 86 leads
to enhanced resistance to (hemi)biotrophic pathogens.

5. Transcriptomic and Metabolomic Responses of Rice Plants to Cnaphalocrocis
medinalis Caterpillar Infestation.

6. Dynamic transcriptome and metabolome project analyses of two types of rice
during the seed germination and young seedling growth stages.

7. Analysis of Global Methylome and Gene Expression during Carbon Reserve
Mobilization in Stems under Soil Drying.

8.UDP-glucosyltransferase regulates grain size and abiotic stress tolerance
associated with metabolic flux redirection in rice.

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