Evidence map›Paper›PMID 37819981›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Amine-recognizing domain in diverse receptors from bacteria and archaea evolved from the universal amino acid sensor.

Jean Paul Cerna-Vargas, Vadim M Gumerov, Tino Krell, Igor B Zhulin

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.2field-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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Specificities of chemosensory receptors in the human gut microbiota.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Insights into Chemoreceptor MCP2201-Sensing D-Malate.International journal of molecular sciences · 2025
    Article
  9. Bacterial sensor evolved by decreasing complexity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Discovering unknown associations between prokaryotic receptors and their ligands.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Jean Paul Cerna-Vargas *Department of Biotechnology and Environmental Protection, Estación Experimental del Zaidín, Consejo Superior de Investigaciones Científicas, Granada 18008, Spain.ORCID 0000-0001-5489-0385
Vadim M Gumerov *Department of Microbiology and Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210.ORCID 0000-0003-1670-7679
Tino KrellDepartment of Biotechnology and Environmental Protection, Estación Experimental del Zaidín, Consejo Superior de Investigaciones Científicas, Granada 18008, Spain.ORCID 0000-0002-9040-3166
Igor B ZhulinDepartment of Microbiology and Translational Data Analytics Institute, The Ohio State University, Columbus, OH 43210.ORCID 0000-0002-6708-5323
Consejo Superior de Investigaciones Científicas · ESThe Ohio State University · US

Funding

Computational Genomics of Signal TransductionR35GM131760 · NIGMS · OHIO STATE UNIVERSITY · PI Igor B. Jouline · 2019 to 2026
$3.2M
NIGMS NIH HHS R35 GM131760
6 · The paper itself

Abstract

Bacteria possess various receptors that sense different signals and transmit information to enable an optimal adaptation to the environment. A major limitation in microbiology is the lack of information on the signal molecules that activate receptors. Signals recognized by sensor domains are poorly reflected in overall sequence identity, and therefore, the identification of signals from the amino acid sequence of the sensor alone presents a challenge. Biogenic amines are of great physiological importance for microorganisms and humans. They serve as substrates for aerobic and anaerobic growth and play a role of neurotransmitters and osmoprotectants. Here, we report the identification of a sequence motif that is specific for amine-sensing sensor domains that belong to the Cache superfamily of the most abundant extracellular sensors in prokaryotes. We identified approximately 13,000 sensor histidine kinases, chemoreceptors, receptors involved in second messenger homeostasis and Ser/Thr phosphatases from 8,000 bacterial and archaeal species that contain the amine-recognizing motif. The screening of compound libraries and microcalorimetric titrations of selected sensor domains confirmed their ability to specifically bind biogenic amines. Mutants in the amine-binding motif or domains that contain a single mismatch in the binding motif had either no or a largely reduced affinity for amines. We demonstrate that the amine-recognizing domain originated from the universal amino acid-sensing Cache domain, thus providing insight into receptor evolution. Our approach enables precise "wet"-lab experiments to define the function of regulatory systems and therefore holds a strong promise to enable the identification of signals stimulating numerous receptors.

Indexed as

Amino AcidsArchaeaBacteriaBacterial ProteinsBiogenic AminesHumansAmino AcidsBacterial ProteinsBiogenic Aminesbacterial signal transductionbiogenic aminesevolutionreceptors

Identifiers

PMID37819981
PMCPMC10589655
OpenAlexW4387526307

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.