Evidence map›Paper›PMID 36243715›Full record

ArticleMicrobial cell factories2022

Identification of acetic acid sensitive strains through biosensor-based screening of a Saccharomyces cerevisiae CRISPRi library.

Maurizio Mormino, Ibai Lenitz, Verena Siewers, Yvonne Nygård

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
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  5. Review
  6. Applied and environmental microbiology · 2024
    Article
  7. Application of functional genomics for domestication of novel non-model microbes.Journal of industrial microbiology & biotechnology · 2024
    Review
  8. 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

4 authors at 1 institution in 1 country.

Maurizio MorminoDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Ibai LenitzDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Verena SiewersDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Yvonne NygårdDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. yvonne.nygard@chalmers.se.
Chalmers University of Technology · SE

Funding

Svenska Forskningsrådet Formas Dnr 2017-00979
6 · The paper itself

Abstract

backgroundAcetic acid tolerance is crucial for the development of robust cell factories for conversion of lignocellulosic hydrolysates that typically contain high levels of acetic acid. Screening mutants for growth in medium with acetic acid is an attractive way to identify sensitive variants and can provide novel insights into the complex mechanisms regulating the acetic acid stress response.

resultsAn acetic acid biosensor based on the Saccharomyces cerevisiae transcription factor Haa1, was used to screen a CRISPRi yeast strain library where dCas9-Mxi was set to individually repress each essential or respiratory growth essential gene. Fluorescence-activated cell sorting led to the enrichment of a population of cells with higher acetic acid retention. These cells with higher biosensor signal were demonstrated to be more sensitive to acetic acid. Biosensor-based screening of the CRISPRi library strains enabled identification of strains with increased acetic acid sensitivity: strains with gRNAs targeting TIF34, MSN5, PAP1, COX10 or TRA1.

conclusionsThis study demonstrated that biosensors are valuable tools for screening and monitoring acetic acid tolerance in yeast. Fine-tuning the expression of essential genes can lead to altered acetic acid tolerance.

Indexed as

Biosensing TechniquesSaccharomyces cerevisiae ProteinsAcetic AcidKaryopherinsSaccharomyces cerevisiaeTranscription FactorsAcetic AcidKaryopherinsMSN5 protein, S cerevisiaeSaccharomyces cerevisiae ProteinsTranscription FactorsAcetic acidBiosensorCRISPRiLibraryScreeningToleranceYeast

Identifiers

PMID36243715
PMCPMC9571444
OpenAlexW4306315485

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.