Evidence map›Paper›PMID 22837755›Full record

ArticleFrontiers in microbiology2012

Genetic manipulation of Methanosarcina spp.

Petra R A Kohler, William W Metcalf

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Teaching old dogs new tricks: genetic engineering methanogens.Applied and environmental microbiology · 2024
    Review
  5. Article
  6. Review
  7. Generating a Small Shuttle Vector for Effective Genetic Engineering ofInternational journal of molecular sciences · 2022
    Article
  8. Article
  9. Article
  10. An Archaea-specificeLife · 2022
    Article
  11. Article
  12. Insights into the biotechnology potential ofFrontiers in microbiology · 2022
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Cas9-mediated genome editing in the methanogenic archaeonProceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  18. Review
  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

2 authors.

Petra R A KohlerDepartment of Microbiology, B103 Chemical and Life Science Laboratory, University of Illinois at Urbana-Champaign Urbana, IL, USA.
William W Metcalf

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of the third domain of life, the Archaea, is one of the most exciting findings of the last century. These remarkable prokaryotes are well known for their adaptations to extreme environments; however, Archaea have also conquered moderate environments. Many of the archaeal biochemical processes, such as methane production, are unique in nature and therefore of great scientific interest. Although formerly restricted to biochemical and physiological studies, sophisticated systems for genetic manipulation have been developed during the last two decades for methanogenic archaea, halophilic archaea and thermophilic, sulfur-metabolizing archaea. The availability of these tools has allowed for more complete studies of archaeal physiology and metabolism and most importantly provides the basis for the investigation of gene expression, regulation and function. In this review we provide an overview of methods for genetic manipulation of Methanosarcina spp., a group of methanogenic archaea that are key players in the global carbon cycle and which can be found in a variety of anaerobic environments.

Indexed as

gene expressiongenetic manipulationgenetypic complementationmarkerless deletionMethanosarcinamutagenesis

Identifiers

PMID22837755
PMCPMC3403347

What OpenQuestion holds

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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.