Evidence map›Paper›PMID 42651670›Full record

ReviewBiology2026

Catfish Transgenesis and Gene Editing: Overview, Recent Advances, and Future Perspectives.

Ahmed H Elaswad, Karim M Khalil, Rex A Dunham

Abstract readReview
In one paragraph

Review in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ahmed H ElaswadCenter of Excellence in Marine Biotechnology, Sultan Qaboos University, Muscat 123, Oman.ORCID 0000-0002-3904-8816
Karim M KhalilDepartment of Animal and Veterinary Sciences, College of Agricultural and Marine Sciences, Sultan Qaboos University, Muscat 123, Oman.ORCID 0000-0002-0907-5733
Rex A DunhamSchool of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL 36849, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transgenesis and gene editing offer a promising approach for more efficient and sustainable aquaculture by generating high-performance fish to enhance global food security. This article provides a comprehensive review of the history, current status, and future perspectives of employing transgenesis and gene-editing technologies to improve fish production and welfare, focusing on catfishes, which represent a diverse group of economically important fish. We discussed the application of various genetic technologies, including gene transfer (transgenesis) and gene editing, to boost fish economic traits and achieve genetic confinement. We also reviewed the progress on integrating transgenesis and gene-editing techniques for multiple gene editing, an approach that can speed up and make the genetic modification of fish more efficient. This review also highlights several research gaps in the current literature on gene transfer and gene editing in catfishes. Specifically, it provides directions for future catfish research, including the employment of transcriptomics in phenotypic assessment of transgenic and gene-edited fish, addressing compensatory mechanisms when selecting the gene-editing targets, and accounting for gene-environment and gene-nutrition interactions. It also highlights the application of advanced gene-editing tools, integration of genomic selection and artificial intelligence with gene editing, transparent public education about the benefits and risks of genetic biotechnology, and the development of effective reproductive confinement strategies.

Indexed as

catfishCRISPR/Cas9gene editinggenome editingtransgenic fish

Identifiers

PMID42651670
PMCPMC13509389

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.