Evidence map›Paper›PMID 29490607›Full record

ArticleBMC genomics2018

QTL mapping of volatile compound production in Saccharomyces cerevisiae during alcoholic fermentation.

Matthias Eder, Isabelle Sanchez, Claire Brice, Carole Camarasa, Jean-Luc Legras, Sylvie Dequin

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
11.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 87 citations in OpenAlex.

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  20. Downregulation ofJournal of microbiology and biotechnology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Matthias EderSPO, INRA, SupAgro, Université de Montpellier, F-34060, Montpellier, France.ORCID 0000-0002-2414-002X
Isabelle SanchezSPO, INRA, SupAgro, Université de Montpellier, F-34060, Montpellier, France.
Claire BriceSPO, INRA, SupAgro, Université de Montpellier, F-34060, Montpellier, France.
Carole CamarasaSPO, INRA, SupAgro, Université de Montpellier, F-34060, Montpellier, France.
Jean-Luc LegrasSPO, INRA, SupAgro, Université de Montpellier, F-34060, Montpellier, France.
Sylvie DequinSPO, INRA, SupAgro, Université de Montpellier, F-34060, Montpellier, France. sylvie.dequin@inra.fr.
Institut Agro Montpelier · FRMathématiques, Informatique et Statistique pour l'Environnement et l'Agronomie · FR

Funding

FP7 People: Marie-Curie Actions 606795
6 · The paper itself

Abstract

backgroundThe volatile metabolites produced by Saccharomyces cerevisiae during alcoholic fermentation, which are mainly esters, higher alcohols and organic acids, play a vital role in the quality and perception of fermented beverages, such as wine. Although the metabolic pathways and genes behind yeast fermentative aroma formation are well described, little is known about the genetic mechanisms underlying variations between strains in the production of these aroma compounds. To increase our knowledge about the links between genetic variation and volatile production, we performed quantitative trait locus (QTL) mapping using 130 F2-meiotic segregants from two S. cerevisiae wine strains. The segregants were individually genotyped by next-generation sequencing and separately phenotyped during wine fermentation.

resultsUsing different QTL mapping strategies, we were able to identify 65 QTLs in the genome, including 55 that influence the formation of 30 volatile secondary metabolites, 14 with an effect on sugar consumption and central carbon metabolite production, and 7 influencing fermentation parameters. For ethyl lactate, ethyl octanoate and propanol formation, we discovered 2 interacting QTLs each. Within 9 of the detected regions, we validated the contribution of 13 genes in the observed phenotypic variation by reciprocal hemizygosity analysis. These genes are involved in nitrogen uptake and metabolism (AGP1, ALP1, ILV6, LEU9), central carbon metabolism (HXT3, MAE1), fatty acid synthesis (FAS1) and regulation (AGP2, IXR1, NRG1, RGS2, RGT1, SIR2) and explain variations in the production of characteristic sensorial esters (e.g., 2-phenylethyl acetate, 2-metyhlpropyl acetate and ethyl hexanoate), higher alcohols and fatty acids.

conclusionsThe detection of QTLs and their interactions emphasizes the complexity of yeast fermentative aroma formation. The validation of underlying allelic variants increases knowledge about genetic variation impacting metabolic pathways that lead to the synthesis of sensorial important compounds. As a result, this work lays the foundation for tailoring S. cerevisiae strains with optimized volatile metabolite production for fermented beverages and other biotechnological applications.

Indexed as

Chromosome MappingFermentationQuantitative Trait LociAlcoholsAmino Acid SubstitutionChromatography, High Pressure LiquidGas Chromatography-Mass SpectrometryGenetic Association StudiesGenome, FungalGenomicsLod ScoreMetabolic Networks and PathwaysModels, BiologicalPhenotypePolymorphism, Single NucleotideQuantitative Trait, HeritableAlcoholsSugarsVolatile Organic CompoundsAroma compoundsFermentationMetabolitesQTL mappingYeast

Identifiers

PMID29490607
PMCPMC5831830
OpenAlexW2795279841

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.