Evidence map›Paper›PMID 24949109›Full record

ArticleThe open microbiology journal2014

Highly Deviated Asymmetric Division in Very Low Proportion of Mycobacterial Mid-log Phase Cells.

Srinivasan Vijay, Nagaraja Mukkayyan, Parthasarathi Ajitkumar

Open access · diamondAbstract read
In one paragraph

Article in The open microbiology journal, 2014. 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
0.6field-weighted citation impact, top 28% 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, 28 citations in OpenAlex.

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  4. Clinically encountered growth phenotypes of tuberculosis-causing bacilli and theirFrontiers in cellular and infection microbiology · 2022
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  8. In Vivo Imaging with Genetically Encoded Redox Biosensors.International journal of molecular sciences · 2020
    Review
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  10. Hypoxic Non-replicating PersistentFrontiers in microbiology · 2019
    Article
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  12. Frontiers in microbiology · 2018
    Article
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  15. 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 1 institution in 1 country.

Srinivasan VijayDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore - 560012,Karnataka,India.
Nagaraja MukkayyanDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore - 560012,Karnataka,India.
Parthasarathi AjitkumarDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore - 560012,Karnataka,India.
Indian Institute of Science Bangalore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we show that about 20% of the septating Mycobacterium smegmatis and Mycobacterium xenopi cells in the exponential phase populationdivideasymmetrically, with an unusually high deviation (17 ± 4%) in the division site from the median, to generate short cells and long cells, thereby generating population heterogeneity. This mode of division is very different from the symmetric division of themajority (about 80%) of the septating cells in the Mycobacterium smegmatis, Mycobacterium marinum, and Mycobacterium bovis BCG exponential phase population, with 5-10% deviation in the division site from the mid-cell site, as reported by recent studies. The short cells and the long cells further grew and divided to generate a population. We speculate that the generation of the short cells and the long cells through the highly deviated asymmetric divisionin the low proportions of mycobacterial population may have a role in stress tolerance.

Indexed as

Asymmetric cell divisionhort cell.ucleoidycobacterium smegmatisycobacterium xenopi

Identifiers

PMID24949109
PMCPMC4062944
OpenAlexW2115265935

What OpenQuestion holds

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LicenceCC BY-NC
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.