Evidence map›Paper›PMID 34553250›Full record

ArticleApplied microbiology and biotechnology2021

Salt-stress adaptation of yeast as a simple method to improve high-gravity fermentation in an industrial medium.

Mohammad Ahmad, Ruchi Pathania, Abantika Chowdhury, Jai Kumar Gupta, Chandra Dev, Shireesh Srivastava

Abstract read
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Enhanced multistress tolerance ofMicrobiology spectrum · 2025
    Article
  4. Indian journal of microbiology · 2023
    Article
  5. 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

6 authors at 1 institution in 1 country.

Mohammad AhmadSystems Biology for Biofuel Group, ICGEB, New Delhi, 110067, India.
Ruchi PathaniaSystems Biology for Biofuel Group, ICGEB, New Delhi, 110067, India.
Abantika ChowdhurySystems Biology for Biofuel Group, ICGEB, New Delhi, 110067, India.
Jai Kumar GuptaSystems Biology for Biofuel Group, ICGEB, New Delhi, 110067, India.
Chandra DevMicrobial Engineering Group, ICGEB, New Delhi, 110067, India.
Shireesh SrivastavaSystems Biology for Biofuel Group, ICGEB, New Delhi, 110067, India. shireesh@icgeb.res.in.ORCID http://orcid.org/0000-0001-6139-1904
International Centre for Genetic Engineering and Biotechnology · IN

Funding

Department of Biotechnology, Ministry of Science and Technology, Government of India BT/PB/Centre/03/2011-Phase 2
6 · The paper itself

Abstract

While Saccharomyces cerevisiae is a popular organism to produce ethanol, its fermentation performance is affected at high sugar concentrations due to osmotic stress. We hypothesized that adaptation under ionic stress conditions will improve the fermentation performance at high sugar concentrations due to cross-stress adaptation. We, therefore, adapted a high-performance yeast strain, S. cerevisiae CEN.PK 122, to increasing salt concentrations in an industrial medium. Control cells were adapted in the medium without added salt. The cells adapted to 3.5% (w/v) salt concentration demonstrated a superior performance when fermenting 10-30% (w/v) glucose. When fermenting 30% (w/v) glucose, the ethanol yields of the adapted cells (0.49 ± 0.01 g g

Indexed as

HypergravitySaccharomyces cerevisiaeAdaptation, PhysiologicalEthanolFermentationEthanolAdaptationGlycerolHigh-gravity fermentationSalt stressVolumetric productivityYield

Identifiers

PMID34553250
OpenAlexW3201533327

What OpenQuestion holds

Textmetadata
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.