The Semi-Supervised Strategy of Machine Learning on the Gene Family Diversity to Unravel Resveratrol Synthesis.

Jun-Tae Song,Yejin Lee,Sung-Hoon Choi,Dong-U Woo,Yang-Jae Kang

doi:10.3390/plants10102058

Abstract

Resveratrol is a phytochemical with medicinal benefits, being well-known for its presence in wine. Plants develop resveratrol in response to stresses such as pathogen infection, UV radiation, and other mechanical stress. The recent publications of genomic sequences of resveratrol-producing plants such as grape, peanut, and eucalyptus can expand our molecular understanding of resveratrol synthesis. Based on a gene family count matrix of Viridiplantae members, we uncovered important gene families that are common in resveratrol-producing plants. These gene families could be prospective candidates for improving the efficiency of synthetic biotechnology-based artificial resveratrol manufacturing.

Highlights

Resveratrol is a pharmaceutically beneficial phytochemical, being well-known for its presence in wine
We attempted to evaluate the evolutionary closeness of plant species by using the gene family profile of the known resveratrol synthesis pathway (Figure 1)
We surveyed the resveratrol synthesis pathway based on the KEGG database [10]

Summary

Introduction

Resveratrol is a pharmaceutically beneficial phytochemical, being well-known for its presence in wine. It is a member of the stilbene family and commonly exists in the cis or trans type [1]. They are reported to have potential anticancer abilities, including their involvement in tumor initiation, promotion, and progression [2]. Resveratrol has been found in grapes, peanuts, eucalyptus, etc. Stresses such as pathogen infection, UV radiation, and other mechanical stresses cause the plants to accumulate resveratrol to protect themselves [8].

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Results

Conclusion