Evidence map›Paper›PMID 29511798›Full record

ReviewPlant cell reports2018

Advanced genetic tools enable synthetic biology in the oleaginous microalgae Nannochloropsis sp.

Eric Poliner, Eva M Farré, Christoph Benning

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Plant cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

35 citing papers in PubMed, 107 citations in OpenAlex.

  1. Article
  2. Article
  3. Biohybrid Computing with Proteinoids and Algae.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Review
  5. Article
  6. Marine drugs · 2025
    Review
  7. Enhancing lipid production inFrontiers in microbiology · 2025
    Article
  8. Article
  9. Review
  10. Review
  11. Marine drugs · 2024
    Review
  12. EngineeringmLife · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

3 authors at 1 institution in 1 country.

Eric PolinerCell and Molecular Biology Program, Michigan State University, East Lansing, MI, USA.
Eva M FarréDepartment of Plant Biology, Michigan State University, East Lansing, MI, USA.
Christoph BenningMSU-DOE Plant Research Laboratory, Michigan State University, East Lansing, MI, USA. benning@msu.edu.ORCID http://orcid.org/0000-0001-8585-3667
Michigan State University · US

Funding

National Science Foundation IOS-1354721U.S. Department of Energy DE-FG02-91ER20021
6 · The paper itself

Abstract

Nannochloropsis is a genus of fast-growing microalgae that are regularly used for biotechnology applications. Nannochloropsis species have a high triacylglycerol content and their polar lipids are rich in the omega-3 long-chain polyunsaturated fatty acid, eicosapentaenoic acid. Placed in the heterokont lineage, the Nannochloropsis genus has a complex evolutionary history. Genome sequences are available for several species, and a number of transcriptomic datasets have been produced, making this genus a facile model for comparative genomics. There is a growing interest in Nannochloropsis species as models for the study of microalga lipid metabolism and as a chassis for synthetic biology. Recently, techniques for gene stacking, and targeted gene disruption and repression in the Nannochloropsis genus have been developed. These tools enable gene-specific, mechanistic studies and have already allowed the engineering of improved Nannochloropsis strains with superior growth, or greater bioproduction.

Indexed as

CarbonDrug Resistance, MicrobialGene Expression RegulationLightLipid MetabolismMicroalgaePhotosynthesisProtein EngineeringStramenopilesSynthetic BiologyTranscriptomeCarbonAlgal biotechnologyEpisomesGene stackingMarker-free engineeringNannochloropsisSynthetic biology

Identifiers

PMID29511798
OpenAlexW2791247674

What OpenQuestion holds

Textmetadata
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.