Evidence map›Paper›PMID 32123544›Full record

ArticleBiotechnology for biofuels2020

In silico evolution of

Daniel J Upton, Simon J McQueen-Mason, A Jamie Wood

Open access · goldAbstract read
In one paragraph

Article in Biotechnology for biofuels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 31 citations in OpenAlex.

  1. Transporter Engineering for Enhancing Citric Acid Production inJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Review
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  6. Review
  7. Development of a High-PerformanceJournal of fungi (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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 1 institution in 1 country.

Daniel J Upton1Department of Biology, University of York, Wentworth Way, York, YO10 5DD UK.ORCID 0000-0001-6411-2798
Simon J McQueen-Mason1Department of Biology, University of York, Wentworth Way, York, YO10 5DD UK.
A Jamie Wood1Department of Biology, University of York, Wentworth Way, York, YO10 5DD UK.
University of York · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J014443/1
6 · The paper itself

Abstract

backgroundThe fungus

resultsWith the use of our informed evolutionary framework, we demonstrate targeted changes that induce a complete switch of acid output from citric to numerous different commercially valuable target organic acids including succinic acid. We highlight the key changes in flux patterns that occur in each case, suggesting potentially valuable targets for engineering. We also show that optimum acid productivity is achieved through a balance of organic acid and biomass production, requiring finely tuned flux constraints that give a growth rate optimal for productivity.

conclusionsThis study shows how a genome-scale metabolic model can be integrated with dynamic modelling and metaheuristic algorithms to provide solutions to complex metabolic engineering goals of industrial importance. This framework for in silico guided engineering, based on the dynamic batch growth relevant to industrial processes, offers considerable potential for future endeavours focused on the engineering of organisms to produce valuable products.

Indexed as

Aspergillus nigerCitric acidEvolutionFBAGenetic algorithmSuccinic acid

Identifiers

PMID32123544
PMCPMC7038614
OpenAlexW3012789452

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.