Evidence map›Paper›PMID 39375675›Full record

ArticleMicrobial cell factories2024

Exploiting phenotypic heterogeneity to improve production of glutathione by yeast.

Mingzhi Xu, Cindy Vallières, Chris Finnis, Klaus Winzer, Simon V Avery

Abstract read
In one paragraph

Article in Microbial cell factories, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

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2 · The registry

The trial behind it

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Mingzhi XuSchool of Life Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Cindy VallièresSchool of Life Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Chris FinnisPhenotypeca, BioCity Nottingham, Nottingham, NG1 1GF, UK.
Klaus WinzerSchool of Life Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK.
Simon V AverySchool of Life Sciences, University of Nottingham, University Park, Nottingham, NG7 2RD, UK. Simon.Avery@nottingham.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/T0083690/1
6 · The paper itself

Abstract

backgroundGene expression noise (variation in gene expression among individual cells of a genetically uniform cell population) can result in heterogenous metabolite production by industrial microorganisms, with cultures containing both low- and high-producing cells. The presence of low-producing individuals may be a factor limiting the potential for high yields. This study tested the hypothesis that low-producing variants in yeast cell populations can be continuously counter-selected, to increase net production of glutathione (GSH) as an exemplar product.

resultsA counter-selection system was engineered in Saccharomyces cerevisiae based on the known feedback inhibition of gamma-glutamylcysteine synthetase (GSH1) gene expression, which is rate limiting for GSH synthesis: the GSH1 ORF and the counter-selectable marker GAP1 were expressed under control of the TEF1 and GSH-regulated GSH1 promoters, respectively. An 18% increase in the mean cellular GSH level was achieved in cultures of the engineered strain supplemented with D-histidine to counter-select cells with high GAP1 expression (i.e. low GSH-producing cells). The phenotype was non-heritable and did not arise from a generic response to D-histidine, unlike that with certain other test-constructs prepared with alternative markers.

conclusionsThe results corroborate that the system developed here improves GSH production by targeting low-producing cells. This supports the potential for exploiting end-product/promoter interactions to enrich high-producing cells in phenotypically heterogeneous populations, in order to improve metabolite production by yeast.

Indexed as

Glutamate-Cysteine LigaseGlutathionePhenotypeSaccharomyces cerevisiaeGene Expression Regulation, FungalHistidineMetabolic EngineeringPromoter Regions, GeneticSaccharomyces cerevisiae ProteinsGlutamate-Cysteine LigaseGlutathioneGSH1 protein, S cerevisiaeHistidineSaccharomyces cerevisiae ProteinsBioprocess optimizationCell individualityMetabolic engineeringPhenotypic heterogeneityYeast metabolism

Identifiers

PMID39375675
PMCPMC11457410

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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.