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Related Experiment Video

Updated: Apr 4, 2026

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics

Published on: October 5, 2016

Quantitative trait locus analysis of grape weight and soluble solid content.

Y H Zhao¹, Y S Guo², H Lin¹

¹Department of Otolaryngology Head and Neck Surgery, First Affiliated Hospital of Chinese PLA General Hospital, Beijing, China.

Genetics and Molecular Research : GMR

|September 9, 2015

Summary

Researchers developed molecular genetic maps for two grapevine cultivars to identify genes controlling grape weight and soluble solids. This study identified six quantitative trait loci (QTLs) for grape weight and seven QTLs for soluble solids, aiding future breeding efforts.

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Area of Science:

Plant genetics
Molecular biology
Agricultural science

Background:

Developing improved grapevine cultivars requires understanding the genetic basis of important agronomic traits.
Molecular genetic maps are essential tools for dissecting complex traits in plants.

Purpose of the Study:

To construct molecular genetic maps for two grapevine parent cultivars ('87-1' and '9-22').
To identify quantitative trait loci (QTLs) associated with grape weight and soluble solid content in a grapevine mapping population.

Main Methods:

A mapping population of 149 grapevine plants was created from a cross between '87-1' and '9-22'.
Sequence-related amplified polymorphism (SRAP) and simple-sequence repeat (SSR) markers were used to construct molecular linkage maps.
Interval mapping was employed for quantitative trait locus (QTL) analysis of grape weight and soluble solid content.

Main Results:

Molecular linkage maps were constructed for each parent and a combined map, comprising 19 linkage groups.
Six QTLs associated with grape weight were identified, explaining 11.3–33.0% of phenotypic variance.
Seven QTLs associated with soluble solid content were identified, explaining 15.7–55.8% of phenotypic variance.

Conclusions:

This study successfully generated high-density molecular linkage maps for the studied grapevine parents.
Key QTLs influencing grape weight and soluble solids were identified, providing valuable genetic resources for grapevine breeding programs aimed at enhancing fruit quality and yield.