Organism-level visual genotyping of knockout zygosity enables functional gene analysis and modular combination with reporter transgenes

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Authors: Franziska Krämer, Julia Ratke, Frederic Strobl
Cited by: 0
References: 22

Abstract

Abstract Analysis of gene function in diploid organisms typically relies on molecular methods to distinguish wild-type, mono-allelic knockout, and bi-allelic knockout individuals, creating a major practical bottleneck for large-scale developmental studies. Here, we establish a modular visual genotyping approach that enables organism-level discrimination of knockout zygosity by tagging alternative disrupted alleles with spectrally distinct fluorescent markers. Implemented in the red flour beetle Tribolium castaneum , a two-marker strategy permits reliable identification of bi-allelic knockouts within mixed cohorts in a semi-random insertional mutagenesis framework. Further, a four-marker strategy using a targeted CRISPR/Cas9-based gene editing approach enables systematic generation and unambiguous recognition of individuals homozygous for both a disrupted gene of choice and a fluorescent reporter transgene. This design substantially reduces the workload associated with routine molecular genotyping while enabling genotype-resolved long-term live imaging of embryonic morphogenesis. Application to the extra-embryonic specification factor zerknüllt 1 reveals haplosufficiency and a semi-lethal phenotype associated with variable morphogenetic outcomes. Together, our approach provides a scalable framework for functional analysis of essential developmental genes. Summary Statement Visual marker-based genotyping enables organism-level discrimination of knockout zygosity, reducing reliance on molecular assays and facilitating scalable, genotype-resolved live imaging of developmental gene function in diploid model organisms.

Fields of Study & Subjects

Developmental Biology and Gene Regulation CRISPR and Genetic Engineering Zebrafish Biomedical Research Applications

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publication date
17 January 2026
Language
EN
Document type
Preprint