Evidence map›Paper›PMID 28289732›Full record

ArticlemSystems

Adaptation of

Karin E Kram, Christopher Geiger, Wazim Mohammed Ismail, Heewook Lee, Haixu Tang, Patricia L Foster, Steven E Finkel

Abstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Evolution of pH-sensitive transcription termination inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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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

7 authors.

Karin E KramDepartment of Biology, California State University, Dominguez Hills, Carson, California, USA.
Christopher GeigerMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.
Wazim Mohammed IsmailDepartment of Biology, Indiana University, Bloomington, Indiana, USA.
Heewook LeeDepartment of Biology, Indiana University, Bloomington, Indiana, USA.
Haixu TangDepartment of Biology, Indiana University, Bloomington, Indiana, USA.
Patricia L FosterDepartment of Biology, Indiana University, Bloomington, Indiana, USA.ORCID 0000-0002-7236-4378
Steven E FinkelMolecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.

Funding

Algorithms for Managing Uncertainty in Chromosome Conformation Capture DataR01HG007104 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI KINGSFORD, CARLETON LEE · 2013 to 2015
$1.3M
NHGRI NIH HHS R01 HG007104
6 · The paper itself

Abstract

Experimental evolution of bacterial populations in the laboratory has led to identification of several themes, including parallel evolution of populations adapting to carbon starvation, heat stress, and pH stress. However, most of these experiments study growth in defined and/or constant environments. We hypothesized that while there would likely continue to be parallelism in more complex and changing environments, there would also be more variation in what types of mutations would benefit the cells. In order to test our hypothesis, we serially passaged

Indexed as

adaptive evolutionlaboratory evolutionlong-term stationary phasesurvival

Identifiers

PMID28289732
PMCPMC5340864

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.