Evidence map›Paper›PMID 23282100›Full record

ArticleMicrobial cell factories2013

Genetic manipulation of longevity-related genes as a tool to regulate yeast life span and metabolite production during winemaking.

Helena Orozco, Emilia Matallana, Agustín Aranda

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
13.5field-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

9 citing papers in PubMed, 298 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Helena OrozcoDepartamento de Biotecnología, Instituto de Agroquímica y Tecnología de Alimentos-CSIC, Av, Agustín Escardino, 7, Paterna 46980, Spain.
Emilia Matallana
Agustín Aranda
Instituto de Agroquímica y Tecnología de Alimentos · ESUniversitat de València · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundYeast viability and vitality are essential for different industrial processes where the yeast Saccharomyces cerevisiae is used as a biotechnological tool. Therefore, the decline of yeast biological functions during aging may compromise their successful biotechnological use. Life span is controlled by a variety of molecular mechanisms, many of which are connected to stress tolerance and genomic stability, although the metabolic status of a cell has proven a main factor affecting its longevity. Acetic acid and ethanol accumulation shorten chronological life span (CLS), while glycerol extends it.

resultsDifferent age-related gene classes have been modified by deletion or overexpression to test their role in longevity and metabolism. Overexpression of histone deacetylase SIR2 extends CLS and reduces acetate production, while overexpression of SIR2 homolog HST3 shortens CLS, increases the ethanol level, and reduces acetic acid production. HST3 overexpression also enhances ethanol tolerance. Increasing tolerance to oxidative stress by superoxide dismutase SOD2 overexpression has only a moderate positive effect on CLS. CLS during grape juice fermentation has also been studied for mutants on several mRNA binding proteins that are regulators of gene expression at the posttranscriptional level; we found that NGR1 and UTH4 deletions decrease CLS, while PUF3 and PUB1 deletions increase it. Besides, the pub1Δ mutation increases glycerol production and blocks stress granule formation during grape juice fermentation. Surprisingly, factors relating to apoptosis, such as caspase Yca1 or apoptosis-inducing factor Aif1, play a positive role in yeast longevity during winemaking as their deletions shorten CLS.

conclusionsManipulation of regulators of gene expression at both transcriptional (i.e., sirtuins) and posttranscriptional (i.e., mRNA binding protein Pub1) levels allows to modulate yeast life span during its biotechnological use. Due to links between aging and metabolism, it also influences the production profile of metabolites of industrial relevance.

Indexed as

Acetic AcidApoptosisCaspasesEthanolFermentationGene DeletionGlycerolHistone DeacetylasesLongevityMutationNADH, NADPH OxidoreductasesRNA-Binding ProteinsRNA, MessengerSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSilent Information Regulator Proteins, Saccharomyces cerevisiaeAcetic AcidAIF1 protein, S cerevisiaeCaspasesEthanolGlycerolHistone DeacetylasesHst3 protein, S cerevisiaeMCA1 protein, S cerevisiaeNADH, NADPH OxidoreductasesRNA-Binding ProteinsRNA, MessengerSaccharomyces cerevisiae ProteinsSilent Information Regulator Proteins, Saccharomyces cerevisiaeSIR2 protein, S cerevisiaeSirtuin 2SirtuinsSuperoxide DismutaseSuperoxide Dismutase 2

Identifiers

PMID23282100
PMCPMC3583744
OpenAlexW2167114748

What OpenQuestion 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 OpenQuestion graph.