Evidence map›Paper›PMID 26474851›Full record

ArticleBMC genomics2015

Bacterial transcriptome reorganization in thermal adaptive evolution.

Bei-Wen Ying, Yuki Matsumoto, Kazuki Kitahara, Shingo Suzuki, Naoaki Ono, Chikara Furusawa, Toshihiko Kishimoto, Tetsuya Yomo

Abstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Experimental Evolution in a Warming World: The Omics Era.Molecular biology and evolution · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The highly conserved chromosomal periodicity of transcriptomes and the correlation of its amplitude with the growth rate in Escherichia coli.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020
    Article
  16. Review
  17. Regeneration ofLife (Basel, Switzerland) · 2019
    Article
  18. Article
  19. Article
  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

8 authors.

Bei-Wen YingFaculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, 305-8572, Japan. ying.beiwen.gf@u.tsukuba.ac.jp.
Yuki MatsumotoFaculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, 305-8572, Japan. yuki.matsumoto@riken.jp.
Kazuki KitaharaGraduate School of Information Science and Technology, Osaka University, Osaka, 565-0871, Japan. hakuhaku11kkam18@hotmail.co.jp.
Shingo SuzukiQBiC, RIKEN, Osaka, 565-0874, Japan. ssuzuki@riken.jp.
Naoaki OnoGraduate School of Information Science, Nara Institute of Science and Technology, Nara, 630-0192, Japan. nono@is.naist.jp.
Chikara FurusawaGraduate School of Information Science and Technology, Osaka University, Osaka, 565-0871, Japan. chikara.furusawa@riken.jp.
Toshihiko KishimotoFaculty of Science, Toho University, Chiba, 274-8510, Japan. kisimoto@biomol.sci.toho-u.ac.jp.
Tetsuya YomoGraduate School of Information Science and Technology, Osaka University, Osaka, 565-0871, Japan. yomo@ist.osaka-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvolution optimizes a living system at both the genome and transcriptome levels. Few studies have investigated transcriptome evolution, whereas many studies have explored genome evolution in experimentally evolved cells. However, a comprehensive understanding of evolutionary mechanisms requires knowledge of how evolution shapes gene expression. Here, we analyzed Escherichia coli strains acquired during long-term thermal adaptive evolution.

resultsEvolved and ancestor Escherichia coli cells were exponentially grown under normal and high temperatures for subsequent transcriptome analysis. We found that both the ancestor and evolved cells had comparable magnitudes of transcriptional change in response to heat shock, although the evolutionary progression of their expression patterns during exponential growth was different at either normal or high temperatures. We also identified inverse transcriptional changes that were mediated by differences in growth temperatures and genotypes, as well as negative epistasis between genotype-and heat shock-induced transcriptional changes. Principal component analysis revealed that transcriptome evolution neither approached the responsive state at the high temperature nor returned to the steady state at the regular temperature. We propose that the molecular mechanisms of thermal adaptive evolution involve the optimization of steady-state transcriptomes at high temperatures without disturbing the heat shock response.

conclusionsOur results suggest that transcriptome evolution works to maintain steady-state gene expression during constrained differentiation at various evolutionary stages, while also maintaining responsiveness to environmental stimuli and transcriptome homeostasis.

Indexed as

Adaptation, PhysiologicalEscherichia coliEvolution, MolecularGene Expression ProfilingGene Expression Regulation, BacterialGenome, BacterialHeat-Shock ResponseHot TemperatureTranscriptome

Identifiers

PMID26474851
PMCPMC4609109

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.