Evidence map›Paper›PMID 39496780›Full record

ArticleCommunications biology2024

The evolutionary landscape of prokaryotic chromosome/plasmid balance.

Wenzhi Xue, Juken Hong, Teng Wang

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. ACCIO: An Assembly-Based Tool Enabling Plasmid Detection.medRxiv : the preprint server for health sciences · 2025
    Article
  4. Article
  5. Article
  6. 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.

Wenzhi XueKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Juken HongKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID 0009-0004-8665-8280
Teng WangKey Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China. t.wang1@siat.ac.cn.ORCID 0009-0000-5176-5095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The balance between chromosomal and plasmid DNAs determines the genomic plasticity of prokaryotes. Natural selections, acting on the level of organisms or plasmids, shape the abundances of plasmid DNAs in prokaryotic genomes. Despite the importance of plasmids in health and engineering, there have been rare systematic attempts to quantitatively model and predict the determinants underlying the strength of different selection forces. Here, we develop a metabolic flux model that describes the intracellular resource competition between chromosomal and plasmid-encoded reactions. By coarse graining, this model predicts a landscape of natural selections on chromosome/plasmid balance, which is featured by the tradeoff between phenotypic and non-phenotypic selection pressures. This landscape is further validated by the observed pattern of plasmid distributions in the vast collection of prokaryotic genomes retrieved from the NCBI database. Our results establish a universal paradigm to understand the prokaryotic chromosome/plasmid interplay and provide insights into the evolutionary origin of plasmid diversity.

Indexed as

Chromosomes, BacterialEvolution, MolecularPlasmidsBacteriaChromosomesModels, GeneticProkaryotic CellsSelection, Genetic

Identifiers

PMID39496780
PMCPMC11535066

What OpenQuestion holds

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Registered trials

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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.