Large-scale SIFT-MS volatile profiling of Vitis vinifera berries grown under greenhouse semi-controlled conditions
Abstract
Selected ion flow tube mass spectrometry (SIFT-MS) is a promising high-throughput technology to phenotype individuals for their berry aroma composition. However, no large-scale study has been conducted so far under greenhouse semi-controlled environmental conditions. The aim of this work was to assess the SIFT-MS volatilome of 141 Vitis vinifera varieties grown under such conditions and selected from a diversity panel distributed across three genetic groups (TE, Table East; WE, Wine East; WW, Wine West). Two-berry samples were analysed dynamically using O2+ as reagent ion and a 40 min equilibrium phase at 70 °C. Variability in normalised SIFT-MS data per berry weight among replicate plants of the same variety was low despite notable differences in sugar concentration. Samples clustered into only two groups, with Cluster 1 (C1, n = 91) showing lower abundances for all m/z and more TE varieties, and Cluster 2 (C2, n = 50) exhibiting a greater richness in volatiles and including a larger proportion of WW varieties. This simple binary pattern may reflect the biological continuum of the studied panel, which may be particularly highlighted under controlled-environment growth conditions. Compared to C1, varieties in C2 also showed higher sugar content and smaller berry size. These preliminary findings highlight the potential of SIFT-MS for large-scale phenotyping of single berries and genetic studies of aroma compound abundance, while calling for further validation, complementary GC-MS approaches, and investigation across berry maturation.
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BibTeX
@article{baron2026largescale,
title = {{Large-scale SIFT-MS volatile profiling of Vitis vinifera berries grown under greenhouse semi-controlled conditions}},
author = {Thomas Baerenzung Dit Baron and Amal Chikri and Olivier Rodrigues and Alban Jacques and Aurélie Roland and Flora Tavernier and Charles Romieu and Vincent Segura and Dominique This and Roberto Bacilieri and Agnès Doliguez and Thierry Simoneau and Aude Coupel-Ledru and Olivier Geffroy},
journal = {OENO One},
year = {2026},
month = sep,
doi = {10.20870/oeno-one.2026.60.3.9987},
url = {https://hal.science/hal-05800810v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Large-scale SIFT-MS volatile profiling of Vitis vinifera berries grown under greenhouse semi-controlled conditions
AU - Thomas Baerenzung Dit Baron
AU - Amal Chikri
AU - Olivier Rodrigues
AU - Alban Jacques
AU - Aurélie Roland
AU - Flora Tavernier
AU - Charles Romieu
AU - Vincent Segura
AU - Dominique This
AU - Roberto Bacilieri
AU - Agnès Doliguez
AU - Thierry Simoneau
AU - Aude Coupel-Ledru
AU - Olivier Geffroy
PY - 2026
DA - 2026/09/16
JO - OENO One
DO - 10.20870/oeno-one.2026.60.3.9987
UR - https://hal.science/hal-05800810v1
AB - Selected ion flow tube mass spectrometry (SIFT-MS) is a promising high-throughput technology to phenotype individuals for their berry aroma composition. However, no large-scale study has been conducted so far under greenhouse semi-controlled environmental conditions. The aim of this work was to assess the SIFT-MS volatilome of 141 Vitis vinifera varieties grown under such conditions and selected from a diversity panel distributed across three genetic groups (TE, Table East; WE, Wine East; WW, Wine West). Two-berry samples were analysed dynamically using O2+ as reagent ion and a 40 min equilibrium phase at 70 °C. Variability in normalised SIFT-MS data per berry weight among replicate plants of the same variety was low despite notable differences in sugar concentration. Samples clustered into only two groups, with Cluster 1 (C1, n = 91) showing lower abundances for all m/z and more TE varieties, and Cluster 2 (C2, n = 50) exhibiting a greater richness in volatiles and including a larger proportion of WW varieties. This simple binary pattern may reflect the biological continuum of the studied panel, which may be particularly highlighted under controlled-environment growth conditions. Compared to C1, varieties in C2 also showed higher sugar content and smaller berry size. These preliminary findings highlight the potential of SIFT-MS for large-scale phenotyping of single berries and genetic studies of aroma compound abundance, while calling for further validation, complementary GC-MS approaches, and investigation across berry maturation.
SN - 2494-1271
ER -