Evidence map›Paper›PMID 28139686›Full record

ArticleScientific reports2017

Identifying the Metabolic Differences of a Fast-Growth Phenotype in Synechococcus UTEX 2973.

Thomas J Mueller, Justin L Ungerer, Himadri B Pakrasi, Costas D Maranas

Abstract read
In one paragraph

Article in Scientific reports, 2017. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Salt-TolerantFrontiers in microbiology · 2021
    Article
  11. Review
  12. Improved Salt Tolerance and Metabolomics Analysis ofFrontiers in bioengineering and biotechnology · 2020
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Genome-Scale Fluxome ofPlant physiology · 2019
    Article
  18. Review
  19. Navigating the fitness landscape using multiallele genome editing.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  20. Comparative genomics reveals the molecular determinants of rapid growth of the cyanobacteriumProceedings of the National Academy of Sciences of the United States of America · 2018
    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.

Thomas J MuellerDepartment of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania, USA.
Justin L UngererDepartment of Biology, Washington University, St. Louis, Missouri, USA.
Himadri B PakrasiDepartment of Biology, Washington University, St. Louis, Missouri, USA.
Costas D MaranasDepartment of Chemical Engineering, Pennsylvania State University, University Park, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The photosynthetic capabilities of cyanobacteria make them interesting candidates for industrial bioproduction. One obstacle to large-scale implementation of cyanobacteria is their limited growth rates as compared to industrial mainstays. Synechococcus UTEX 2973, a strain closely related to Synechococcus PCC 7942, was recently identified as having the fastest measured growth rate among cyanobacteria. To facilitate the development of 2973 as a model organism we developed in this study the genome-scale metabolic model iSyu683. Experimental data were used to define CO

Indexed as

Energy MetabolismPhenotypeGenome, BacterialGenome-Wide Association StudyGenomicsOpen Reading FramesPolymorphism, Single NucleotideSelection, GeneticSynechococcus

Identifiers

PMID28139686
PMCPMC5282492

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.