Evidence map›Paper›PMID 37942012›Full record

ArticleiScience2023

The reproduction of gram-negative protoplasts and the influence of environmental conditions on this process.

Dheeraj Kanaparthi, Marko Lampe, Jan-Hagen Krohn, Baoli Zhu, Andreas Klingl, Tillmann Lueders

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 5 institutions in 2 countries.

Dheeraj KanaparthiMax-Planck Institute for Biochemistry, Munich, Germany.
Marko LampeAdvanced Light Microscopy Facility, European Molecular Biology Laboratory, Heidelberg, Germany.
Jan-Hagen KrohnMax-Planck Institute for Biochemistry, Munich, Germany.
Baoli ZhuChair of Ecological Microbiology, BayCeer, University of Bayreuth, Bayreuth, Germany.
Andreas KlinglDepartment of Biology, LMU, Planegg-Martinsried, Germany.
Tillmann LuedersChair of Ecological Microbiology, BayCeer, University of Bayreuth, Bayreuth, Germany.
Excellence Cluster Origins · DEEuropean Molecular Biology Laboratory · DEInstitute of Subtropical Agriculture · CNUniversity of Bayreuth · DEUrologische Klinik München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial protoplasts are known to reproduce independently of canonical molecular biological processes. Although their reproduction is thought to be influenced by environmental conditions, the growth of protoplasts in their natural habitat has never been empirically studied. Here, we studied the life cycle of protoplasts in their native environment. Contrary to the previous perception that protoplasts reproduce in an erratic manner, cells in our study reproduced in a defined sequence of steps, always leading to viable daughter cells. Their reproduction can be explained by an interplay between intracellular metabolism, the physicochemical properties of cell constituents, and the nature of cations in the growth media. The efficiency of reproduction is determined by the environmental conditions. Under favorable environmental conditions, protoplasts reproduce with nearly similar efficiency to cells that possess a cell wall. In short, here we demonstrate the simplest method of cellular reproduction and the influence of environmental conditions on this process.

Indexed as

Cell biologyEvolutionary biologyMicrobiology

Identifiers

PMID37942012
PMCPMC10628739
OpenAlexW4387408827

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.