Machine learning extracts marks of thiamine's role in cold acclimation in the transcriptome of Vitis vinifera.

ABSTRACT:

Introduction

The escalating challenge of climate change has underscored the critical need to understand cold defense mechanisms in cultivated grapevine Vitis vinifera. Temperature variations can affect the growth and overall health of vine.

Methods

We used Self Organizing Maps machine learning method to analyze gene expression data from leaves of five Vitis vinifera cultivars each treated by four different temperature conditions. The algorithm generated sample-specific "portraits" of the normalized gene expression data, revealing distinct patterns related to the temperature conditions applied.

Results

Our analysis unveiled a connection with vitamin B1 (thiamine) biosynthesis, suggesting a link between temperature regulation and thiamine metabolism, in ag

SUBMITTER: Konecny T 

PROVIDER: S-EPMC10731266 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature