Evidence map›Paper›PMID 35479634›Full record

ArticleFrontiers in microbiology2022

The Minimal Translation Machinery: What We Can Learn From Naturally and Experimentally Reduced Genomes.

María José Garzón, Mariana Reyes-Prieto, Rosario Gil

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. tRNA modifying enzymes MnmE and MnmG are essential forbioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. Queuosine salvage inMicrobiology (Reading, England) · 2024
    Article
  5. Queuosine Salvage inbioRxiv : the preprint server for biology · 2024
    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

3 authors at 2 institutions in 1 country.

María José GarzónDepartament de Genètica, Universitat de València, Burjassot, Spain.
Mariana Reyes-PrietoInstitute for Integrative Systems Biology, Universitat de València-Consejo Superior de Investigaciones Científicas, Paterna, Spain.
Rosario GilDepartament de Genètica, Universitat de València, Burjassot, Spain.
Universitat de València · ESConsejo Superior de Investigaciones Científicas · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current theoretical proposals of minimal genomes have not attempted to outline the essential machinery for proper translation in cells. Here, we present a proposal of a minimal translation machinery based on (1) a comparative analysis of bacterial genomes of insects' endosymbionts using a machine learning classification algorithm, (2) the empiric genomic information obtained from

Indexed as

cosymbiontsendosymbiontsJCVI-sync3.0minimal genometranslation machinery

Identifiers

PMID35479634
PMCPMC9035817
OpenAlexW4223517938

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.