Evidence map›Paper›PMID 36073804›Full record

ArticlemSystems2022

Molecular Origins of Transcriptional Heterogeneity in Diazotrophic Klebsiella oxytoca.

Tufail Bashir, Rowan D Brackston, Christopher Waite, Ioly Kotta-Loizou, Matthew R Carey, Christoph Engl, Martin Buck, Jörg Schumacher

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. ISME communications · 2025
    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

8 authors at 2 institutions in 1 country.

Tufail Bashir *Faculty of Natural Sciences, Department of Life Sciences, Imperial College Londongrid.7445.2, London, United Kingdom.
Rowan D Brackston *Faculty of Natural Sciences, Department of Life Sciences, Imperial College Londongrid.7445.2, London, United Kingdom.
Christopher WaiteFaculty of Natural Sciences, Department of Life Sciences, Imperial College Londongrid.7445.2, London, United Kingdom.
Ioly Kotta-LoizouFaculty of Natural Sciences, Department of Life Sciences, Imperial College Londongrid.7445.2, London, United Kingdom.
Matthew R CareyFaculty of Natural Sciences, Department of Life Sciences, Imperial College Londongrid.7445.2, London, United Kingdom.
Christoph EnglSchool of Biological & Chemical Sciences, Queen Mary University of Londongrid.4868.2, London, United Kingdom.
Martin BuckFaculty of Natural Sciences, Department of Life Sciences, Imperial College Londongrid.7445.2, London, United Kingdom.
Jörg SchumacherFaculty of Natural Sciences, Department of Life Sciences, Imperial College Londongrid.7445.2, London, United Kingdom.
Imperial College London · GBQueen Mary University of London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L027135/1Biotechnology and Biological Sciences Research Council BB/N003608/1
6 · The paper itself

Abstract

Phenotypic heterogeneity in clonal bacterial batch cultures has been shown for a range of bacterial systems; however, the molecular origins of such heterogeneity and its magnitude are not well understood. Under conditions of extreme low-nitrogen stress in the model diazotroph Klebsiella oxytoca, we found remarkably high heterogeneity of

Indexed as

Bacterial ProteinsKlebsiella oxytocaIn Situ Hybridization, FluorescenceNitrogenNitrogenaseTranscription, GeneticBacterial ProteinsNitrogenNitrogenasemathematical modelingnitrogen fixationtranscriptional regulation

Identifiers

PMID36073804
PMCPMC9600154
OpenAlexW4294991545

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.