Evidence map›Paper›PMID 33658492›Full record

ArticleNature communications2021

Evolution of combinatorial diversity in trans-acyltransferase polyketide synthase assembly lines across bacteria.

Eric J N Helfrich, Reiko Ueoka, Marc G Chevrette, Franziska Hemmerling, Xiaowen Lu, Stefan Leopold-Messer, Hannah A Minas, Adrien Y Burch, Steven E Lindow, Jörn Piel and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Evolution-guided engineering ofScience (New York, N.Y.) · 2024
    Article
  14. Article
  15. Article
  16. Article
  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

11 authors at 5 institutions in 4 countries.

Eric J N Helfrich *Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland.ORCID 0000-0001-8751-3279
Reiko Ueoka *Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland.ORCID 0000-0003-1350-6652
Marc G Chevrette *Wisconsin Institute for Discovery, Department of Plant Pathology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-7209-0717
Franziska HemmerlingInstitute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland.
Xiaowen LuBioinformatics Group, Wageningen University, Wageningen, The Netherlands.
Stefan Leopold-MesserInstitute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland.ORCID 0000-0003-3490-3550
Hannah A MinasInstitute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland.ORCID 0000-0003-2997-6915
Adrien Y BurchDepartment of Plant and Microbial Biology, University of California at Berkeley, Berkeley, CA, USA.
Steven E LindowDepartment of Plant and Microbial Biology, University of California at Berkeley, Berkeley, CA, USA.
Jörn PielInstitute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zürich, Zürich, Switzerland. jpiel@ethz.ch.
Marnix H MedemaBioinformatics Group, Wageningen University, Wageningen, The Netherlands. marnix.medema@wur.nl.ORCID 0000-0002-2191-2821
Board of the Swiss Federal Institutes of Technology · CHUniversity of California, Berkeley · USWageningen University & Research · NLGoethe University Frankfurt · DEUniversity of Wisconsin–Madison · US

Funding

Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
NIGMS NIH HHS T32 GM008505
6 · The paper itself

Abstract

Trans-acyltransferase polyketide synthases (trans-AT PKSs) are bacterial multimodular enzymes that biosynthesize diverse pharmaceutically and ecologically important polyketides. A notable feature of this natural product class is the existence of chemical hybrids that combine core moieties from different polyketide structures. To understand the prevalence, biosynthetic basis, and evolutionary patterns of this phenomenon, we developed transPACT, a phylogenomic algorithm to automate global classification of trans-AT PKS modules across bacteria and applied it to 1782 trans-AT PKS gene clusters. These analyses reveal widespread exchange patterns suggesting recombination of extended PKS module series as an important mechanism for metabolic diversification in this natural product class. For three plant-associated bacteria, i.e., the root colonizer Gynuella sunshinyii and the pathogens Xanthomonas cannabis and Pseudomonas syringae, we demonstrate the utility of this computational approach for uncovering cryptic relationships between polyketides, accelerating polyketide mining from fragmented genome sequences, and discovering polyketide variants with conserved moieties of interest. As natural combinatorial hybrids are rare among the more commonly studied cis-AT PKSs, this study paves the way towards evolutionarily informed, rational PKS engineering to produce chimeric trans-AT PKS-derived polyketides.

Indexed as

PhylogenyAcyltransferasesAlgorithmsArabidopsisBacterial ProteinsEvolution, MolecularGenome, BacterialHeLa CellsHumansLactonesMacrolidesMultigene FamilyPiperidonesPlantsPolyketidesPolyketide SynthasesAcyltransferasesBacterial ProteinsglutarimideLactonesMacrolidesoocydin AphormidolidePiperidonesPolyketidesPolyketide Synthases

Identifiers

PMID33658492
PMCPMC7930024
OpenAlexW3133838327

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.