Evidence map›Paper›PMID 30962359›Full record

ArticleMolecular systems biology2019

Enzyme promiscuity shapes adaptation to novel growth substrates.

Gabriela I Guzmán, Troy E Sandberg, Ryan A LaCroix, Ákos Nyerges, Henrietta Papp, Markus de Raad, Zachary A King, Ying Hefner, Trent R Northen, Richard A Notebaart and 4 more

Abstract read
In one paragraph

Article in Molecular systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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

  1. ACS synthetic biology · 2021
    Pooled it
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  5. Multi-strain analysis ofmSystems · 2026
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  10. Multi-strain Analysis ofbioRxiv : the preprint server for biology · 2025
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  11. Review
  12. Article
  13. Metabolic growth-coupling strategies forMetabolic engineering communications · 2025
    Article
  14. Article
  15. Article
  16. Evolution of pollutant biodegradation.Applied microbiology and biotechnology · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. 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

14 authors.

Gabriela I GuzmánDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Troy E SandbergDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0003-3240-3659
Ryan A LaCroixDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Ákos NyergesSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary.ORCID 0000-0002-1581-490X
Henrietta PappVirological Research Group, Szentágothai Research Centre University of Pécs, Pécs, Hungary.
Markus de RaadEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory Berkeley, Berkeley, CA, USA.
Zachary A KingDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Ying HefnerDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.
Trent R NorthenEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory Berkeley, Berkeley, CA, USA.
Richard A NotebaartLaboratory of Food Microbiology, Wageningen University and Research, Wageningen, The Netherlands.
Csaba PálSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0003-2357-6785
Balázs PappSynthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Centre of the Hungarian Academy of Sciences, Szeged, Hungary.
Adam M FeistDepartment of Bioengineering, University of California, San Diego, La Jolla, CA, USA afeist@ucsd.edu.ORCID 0000-0002-8630-4800

Funding

Wellcome Trust
6 · The paper itself

Abstract

Evidence suggests that novel enzyme functions evolved from low-level promiscuous activities in ancestral enzymes. Yet, the evolutionary dynamics and physiological mechanisms of how such side activities contribute to systems-level adaptations are not well characterized. Furthermore, it remains untested whether knowledge of an organism's promiscuous reaction set, or underground metabolism, can aid in forecasting the genetic basis of metabolic adaptations. Here, we employ a computational model of underground metabolism and laboratory evolution experiments to examine the role of enzyme promiscuity in the acquisition and optimization of growth on predicted non-native substrates in

Indexed as

MutationAdaptation, PhysiologicalArabinoseComputer SimulationDeoxyriboseEnzymesEscherichia coli K12Escherichia coli ProteinsEvolution, MolecularSubstrate SpecificitySuccinatesTartratesArabinoseDeoxyriboseEnzymesEscherichia coli Proteinsmonomethyl succinateSuccinatestartaric acidTartratesadaptive evolutionenzyme promiscuitygenome‐scale modelingsystems biology

Identifiers

PMID30962359
PMCPMC6452873

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.