Evidence map›Paper›PMID 32582656›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Metabolic Engineering Strategies in Diatoms Reveal Unique Phenotypes and Genetic Configurations With Implications for Algal Genetics and Synthetic Biology.

Jestin George, Tim Kahlke, Raffaela M Abbriano, Unnikrishnan Kuzhiumparambil, Peter J Ralph, Michele Fabris

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

26 citing papers in PubMed, 61 citations in OpenAlex.

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  14. A synthetic biology approach for the treatment of pollutants with microalgae.Frontiers in bioengineering and biotechnology · 2024
    Review
  15. Bioengineering of the Marine DiatomInternational journal of molecular sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Biocircuits in plants and eukaryotic algae.Frontiers in plant science · 2022
    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

6 authors at 1 institution in 1 country.

Jestin GeorgeUniversity of Technology Sydney, Climate Change Cluster, Faculty of Science, Ultimo, NSW, Australia.
Tim KahlkeUniversity of Technology Sydney, Climate Change Cluster, Faculty of Science, Ultimo, NSW, Australia.
Raffaela M AbbrianoUniversity of Technology Sydney, Climate Change Cluster, Faculty of Science, Ultimo, NSW, Australia.
Unnikrishnan KuzhiumparambilUniversity of Technology Sydney, Climate Change Cluster, Faculty of Science, Ultimo, NSW, Australia.
Peter J RalphUniversity of Technology Sydney, Climate Change Cluster, Faculty of Science, Ultimo, NSW, Australia.
Michele FabrisUniversity of Technology Sydney, Climate Change Cluster, Faculty of Science, Ultimo, NSW, Australia.
University of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diatoms are photosynthetic microeukaryotes that dominate phytoplankton populations and have increasing applicability in biotechnology. Uncovering their complex biology and elevating strains to commercial standards depends heavily on robust genetic engineering tools. However, engineering microalgal genomes predominantly relies on random integration of transgenes into nuclear DNA, often resulting in detrimental "position-effects" such as transgene silencing, integration into transcriptionally-inactive regions, and endogenous sequence disruption. With the recent development of extrachromosomal transgene expression via independent episomes, it is timely to investigate both strategies at the phenotypic and genomic level. Here, we engineered the model diatom

Indexed as

extrachromosomal expressionheterologous monoterpenoidsintegration islandslong-read sequencingmicroalgaePhaeodactylum tricornutumrandom integrationsynthetic biology

Identifiers

PMID32582656
PMCPMC7290003
OpenAlexW3033166726

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.