Evidence map›Paper›PMID 40089910›Full record

ReviewThe Plant journal : for cell and molecular biology2025

Genetic engineering in diatoms: advances and prospects.

Yixuan Li, Longji Deng, Emma Jane Lougheed Walker, Bogumil J Karas, Thomas Mock

Abstract readReview
In one paragraph

Review in The Plant journal : for cell and molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. A Correlative SICM-OPM Platform for Surface and Volumetric Imaging in Live Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Harnessing microalgae for bioproducts: innovations in synthetic biology.World journal of microbiology & biotechnology · 2025
    Review
  5. 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

5 authors.

Yixuan LiSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
Longji DengSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.
Emma Jane Lougheed WalkerDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Bogumil J KarasDepartment of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Thomas MockSchool of Environmental Sciences, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK.ORCID 0000-0001-9604-0362

Funding

China Scholarship Council 202106330018Natural Environment Research Council NE/W005654/1Natural Sciences and Engineering Research Council of Canada RGPIN-2018-06172University of East Anglia
6 · The paper itself

Abstract

Diatoms are among the most diverse and ecologically significant groups of photosynthetic microalgae, contributing over 20% of global primary productivity. Their ecological significance, unique biology, and genetic tractability make them ideal targets for genetic and genomic engineering and metabolic reprogramming. Over the past few decades, numerous genetic methods have been developed and applied to these organisms to better understand the function of individual genes and how they underpin diatom metabolism. Additionally, the ability of diatoms to synthesize diverse high-value metabolites and elaborate mineral structures offers significant potential for applications in biotechnology, including the synthesis of novel pharmaceuticals, nutraceuticals, and biomaterials. This review discusses the latest developments in diatom genetic engineering and provides prospects not only to promote the use of diatoms in diverse fields of biotechnology but also to deepen our understanding of their role in natural ecosystems.

Indexed as

DiatomsGenetic EngineeringBiotechnologyMicroalgaediatomsgenetic engineeringmetabolic engineeringsynthetic biology

Identifiers

PMID40089910
PMCPMC11910954

What Socratic 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 Socratic graph.