Evidence map›Paper›PMID 31974527›Full record

ReviewNature chemical biology2020

Stress-tolerant non-conventional microbes enable next-generation chemical biosynthesis.

Sarah Thorwall, Cory Schwartz, Justin W Chartron, Ian Wheeldon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 pooled it
–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.

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

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Leveraging EngineeredACS synthetic biology · 2025
    Article
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3 more citing papers are in PubMed but not listed here.

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.

Sarah ThorwallDepartment of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, USA.
Cory SchwartzDepartment of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, USA.
Justin W ChartronDepartment of Bioengineering, University of California Riverside, Riverside, CA, USA.
Ian WheeldonDepartment of Chemical and Environmental Engineering, University of California Riverside, Riverside, CA, USA. iwheeldon@engr.ucr.edu.ORCID http://orcid.org/0000-0002-3492-7539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial chemical production is a rapidly growing industry, with much of the growth fueled by advances in synthetic biology. New approaches have enabled rapid strain engineering for the production of various compounds; however, translation to industry is often problematic because native phenotypes of model hosts prevent the design of new low-cost bioprocesses. Here, we argue for a new approach that leverages the native stress-tolerant phenotypes of non-conventional microbes that directly address design challenges from the outset. Growth at high temperature, high salt and solvent concentrations, and low pH can enable cost savings by reducing the energy required for product separation, bioreactor cooling, and maintaining sterile conditions. These phenotypes have the added benefit of allowing for the use of low-cost sugar and water resources. Non-conventional hosts are needed because these phenotypes are polygenic and thus far have proven difficult to recapitulate in the common hosts Escherichia coli and Saccharomyces cerevisiae.

Indexed as

BacteriaFungiGenetic EngineeringHydrogen-Ion ConcentrationIndustrial MicrobiologyMetabolic EngineeringMicroorganisms, Genetically-ModifiedOsmotic PressurePhenotypeSolventsStress, PhysiologicalSolvents

Identifiers

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.