Flavonoid Detection

GC-MS Untargeted Metabolomics

Lc-Ms Untargeted Metabolomics

Flavoromics

Flavonoid Detection

Organic Acid Detection

Amino Acid Detection

Vitamin Detection

Other Targeted Metabolomics

Flavonoid Detection

Flavonoids is a general term for a class of compounds with a chromone ring and a benzene ring as the basic structures. There are some secondary metabolites produced by plants in the long-term natural selection . It has a variety of important physiological and biochemical effects, and has important prevention and treatment value for human diseases, such as anti-tumor effect, anti-cardiovascular disease, anti-osteoporosis, elimination of free radicals, antioxidant and anti-aging effects, bacteriostatic and anti-viral effects. , immune regulation, anti-radiation and so on. The pharmacological activity and low toxicity of broad-spectrum have made it a research hotspot at home and abroad, especially in the fields of development and utilization of medicine, food, and health care.


Application Fields

Research on abiotic environment relationships

Application in phenotypic identification

Applications in medicinal plant research

Plants and microbes

Studies of Metabolic pathways and functional genomic


Sample Requirements

  1. Plant tissue ≥ 10g
  2. Serum ≥ 200ul
  3. Dry ice shipping

Case Analysis

Identification of Putative Genes for Polyphenol Biosynthesis in Olive Fruits and Leaves Using Full-length Transcriptome Sequencing

Journal: Food Chemistry       Impact factor: 6.306 Published date: December, 2019       Published by: Institute of Forestry, Chinese Academy of Forestry

Research Background

Olive (Olea europaea) is a rich source of valuable bioactive polyphenols, which has attracted widespread interest.

Research Design

In this study, we combined targeted metabolome, Pacbio ISOseq transcriptome, and Illumina RNA-seq transcriptome to investigate the association between polyphenols and gene expression in the developing olive fruits and leaves. A total of 12 main polyphenols were measured, and 122 transcripts of 17 gene families, 101 transcripts of 9 gene families, and 106 transcripts of 6 gene families that encode for enzymes involved in flavonoid, oleuropein, and hydroxytyrosol biosynthesis were separately identified. Additionally, 232 alternative splicing events of 18 genes related to polyphenol synthesis were analyzed. This is the first time that the third generations of full-length transcriptome technology were used to study the gene expression pattern of olive fruits and leaves. The results of transcriptome combined with targeted metabolome can help us better understand the polyphenol biosynthesis pathways in the olive.

Conclusion

This is the first time that the third generation full-length transcriptional sequencing technology has been used to study polyphenol synthesis and related gene expression patterns in olive, which provides a valuable resource for future research on gene discovery, molecular breeding, and metabolic engineering in olive.

Reference

Guodong Rao,Jianguo Zhang,Xiaoxia Liu et al. Identification of putative genes for polyphenol biosynthesis in olive fruits and leaves using full-length transcriptome sequencing.[J] .Food Chem, 2019, 300: 125246

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