A Concise Review on Multi-Omics Data Integration for Terroir Analysis in Vitis vinifera

Pastor Jullian Fabres, Cassandra Collins, Timothy R. Cavagnaro, Carlos M. Rodríguez López

Research output: Contribution to journalReview articlepeer-review

61 Citations (Scopus)
20 Downloads (Pure)

Abstract

Vitis vinifera (grapevine) is one of the most important fruit crops, both for fresh consumption and wine and spirit production. The term terroir is frequently used in viticulture and the wine industry to relate wine sensory attributes to its geographic origin. Although, it can be cultivated in a wide range of environments, differences in growing conditions have a significant impact on fruit traits that ultimately affect wine quality. Understanding how fruit quality and yield are controlled at a molecular level in grapevine in response to environmental cues has been a major driver of research. Advances in the area of genomics, epigenomics, transcriptomics, proteomics and metabolomics, have significantly increased our knowledge on the abiotic regulation of yield and quality in many crop species, including V. vinifera. The integrated analysis of multiple ‘omics’ can give us the opportunity to better understand how plants modulate their response to different environments. However, ‘omics’ technologies provide a large amount of biological data and its interpretation is not always straightforward, especially when different ‘omic’ results are combined. Here we examine the current strategies used to integrate multi-omics, and how these have been used in V. vinifera. In addition, we also discuss the importance of including epigenomics data when integrating omics data as epigenetic mechanisms could play a major role as an intermediary between the environment and the genome.

Original languageEnglish
Article number1065
Number of pages8
JournalFrontiers in Plant Science
Volume8
DOIs
Publication statusPublished - 20 Jun 2017
Externally publishedYes

Keywords

  • Data integration
  • Environment
  • Epigenetics
  • Metabolomics
  • Multi-omics
  • Transcriptomics
  • Vitis vinifera

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