Evidence map›Paper›PMID 36409069›Full record

ArticleeLife2022

Evolution and regulation of microbial secondary metabolism.

Guillem Santamaria, Chen Liao, Chloe Lindberg, Yanyan Chen, Zhe Wang, Kyu Rhee, Francisco Rodrigues Pinto, Jinyuan Yan, Joao B Xavier

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Harnessing glycerol for secondary metabolite biosynthesis in microorganisms.World journal of microbiology & biotechnology · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 1 country.

Guillem Santamaria *Program for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, United States.
Chen Liao *Program for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0001-8474-1196
Chloe LindbergProgram for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, United States.
Yanyan ChenProgram for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, United States.
Zhe WangDepartment of Medicine, Weill Cornell Medical College, New York, United States.
Kyu RheeDepartment of Medicine, Weill Cornell Medical College, New York, United States.
Francisco Rodrigues PintoBioISI - Biosystems & Integrative Sciences Institute, Faculty of Sciences, University of Lisboa, Lisboa, Portugal.ORCID 0000-0002-4217-0054
Jinyuan YanProgram for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0003-2046-5625
Joao B XavierProgram for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, United States.ORCID 0000-0003-3592-1689
Memorial Sloan Kettering Cancer Center · USCornell University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Systems Biology of Microbiome-mediated Resilience to Antibiotic-resistant PathogensU01AI124275 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI PAMER, ERIC G., XAVIER, JOAO · 2016 to 2020
$8.9M
Mathematical ecology models of host-microbiota interaction in auto microbiota transplants (auto-FMT)R01AI137269 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI TAUR, YING, XAVIER, JOAO · 2019 to 2023
$3.8M
NCI NIH HHS P30 CA008748NIAID NIH HHS R01 AI137269NIAID NIH HHS U01 AI124275NIH HHS U01 AI124275
6 · The paper itself

Abstract

Microbes have disproportionate impacts on the macroscopic world. This is in part due to their ability to grow to large populations that collectively secrete massive amounts of secondary metabolites and alter their environment. Yet, the conditions favoring secondary metabolism despite the potential costs for primary metabolism remain unclear. Here we investigated the biosurfactants that the bacterium

Indexed as

CarbonGlycerolBiological TransportPhylogenyPseudomonas aeruginosaSecondary MetabolismCarbonGlycerolcomputational biologyevolutionary biologymathematical modelingmetabolismPseudomonas aeruginosasocial evolutionsystems biology

Identifiers

PMID36409069
PMCPMC9708071
OpenAlexW4309508901

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.