Evidence map›Paper›PMID 27374613›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2016

Correlation between genome reduction and bacterial growth.

Masaomi Kurokawa, Shigeto Seno, Hideo Matsuda, Bei-Wen Ying

Abstract read
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  9. Heliyon · 2023
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  19. Towards an engineering theory of evolution.Nature communications · 2021
    Review
  20. 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

4 authors.

Masaomi KurokawaGraduate School of Life and Environmental Sciences, University of Tsukuba, Ibaraki 305-8572, Japan.
Shigeto SenoGraduate School of Information Science and Technology, Osaka University, Osaka 565-0871, Japan.
Hideo MatsudaGraduate School of Information Science and Technology, Osaka University, Osaka 565-0871, Japan.
Bei-Wen YingGraduate School of Life and Environmental Sciences, University of Tsukuba, Ibaraki 305-8572, Japan ying.beiwen.gf@u.tsukuba.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome reduction by removing dispensable genomic sequences in bacteria is commonly used in both fundamental and applied studies to determine the minimal genetic requirements for a living system or to develop highly efficient bioreactors. Nevertheless, whether and how the accumulative loss of dispensable genomic sequences disturbs bacterial growth remains unclear. To investigate the relationship between genome reduction and growth, a series of Escherichia coli strains carrying genomes reduced in a stepwise manner were used. Intensive growth analyses revealed that the accumulation of multiple genomic deletions caused decreases in the exponential growth rate and the saturated cell density in a deletion-length-dependent manner as well as gradual changes in the patterns of growth dynamics, regardless of the growth media. Accordingly, a perspective growth model linking genome evolution to genome engineering was proposed. This study provides the first demonstration of a quantitative connection between genomic sequence and bacterial growth, indicating that growth rate is potentially associated with dispensable genomic sequences.

Indexed as

Cell ProliferationGenome, BacterialGenomic InstabilityModels, GeneticEscherichia coliSequence Deletionaccessory genedispensable genomic sequencegenome reductiongrowth rate

Identifiers

PMID27374613
PMCPMC5144675

What OpenQuestion holds

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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.