henhaobio
Sign in

Biology OpenDevelopmental BiologyPeer-reviewed journal article

Advancing Knock-In Approaches for Robust Genome Editing in Zebrafish

Anjelica RodrigueziD, Ella Grace Beezley, Steffani MannaiD, Isabella M. SilabaniD, Sarah F A M A AlmutawaiD, Siyang CaoiD, Hossam AhmediD, Megan E GuyeriD, Sean BakeriD, Mark P. RichardsiD, Junsu KangiD

PDFDOIPreprint

Abstract

Precise genome editing remains a major challenge in functional genomics, particularly for generating knock-in (KI) alleles in model organisms. Here, we introduce the mini-golden system, a versatile Golden Gate-based subcloning platform that enables rapid assembly of donor constructs containing homology arms and a gene of interest. This system offers a library of middle entry vectors including diverse genes, enhancing the preparation of donor minicircles for KI applications. Using the mini-golden system, we efficiently generated a foxd3CreER KI zebrafish line, allowing conditional recombination in neural crest cells. To further improve genome editing precision, we developed a synthetic exon-based donor template strategy combined with fluorescence screening. Using this approach, we successfully engineered a targeted isoleucine-to-valine substitution (Ile-to-Val) in hbaa1.2, one of the two adult hemoglobin alpha genes in zebrafish. Importantly, despite the high sequence similarity between hbaa1.2 and its paralog hbaa1.1, our strategy specifically edited hbaa1.2, demonstrating the effectiveness of the synthetic exon approach. This method minimized undesired recombination and significantly improved the identification of lines carrying the edited genome. Together, we provide a robust toolkit for efficient and precise genome engineering in zebrafish, with broad applicability to other model systems.

Citations
0
FWCI
0.00
Field percentile
5th percentile

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISVanhooydonc '25Keating '23Ono '26Li '19Dorner '24Shin '22
70% semantic matchGenetics
Michiel Vanhooydonck, Elyne De Neef, Hanna De Saffel+4 more·Lab Animal·May 28, 2025· 13 citations