ZFIN ID: ZDB-PUB-200403-128
Phenomics-Based Quantification of CRISPR-Induced Mosaicism in Zebrafish
Watson, C.J., Monstad-Rios, A.T., Bhimani, R.M., Gistelinck, C., Willaert, A., Coucke, P., Hsu, Y.H., Kwon, R.Y.
Date: 2020
Source: Cell systems   10: 275-286.e5 (Journal)
Registered Authors: Coucke, Paul, Kwon, Ronald, Monstad-Rios, Adrian, Watson, Claire, Willaert, Andy
Keywords: CRISPR, bmp1a, bone, crispant, osteoblast, osteogenesis imperfecta, phenomics, plod2, zebrafish
MeSH Terms:
  • Animals
  • Biological Variation, Population
  • Bone Morphogenetic Protein 1/genetics
  • CRISPR-Cas Systems/genetics*
  • Clustered Regularly Interspaced Short Palindromic Repeats/genetics
  • Mosaicism/embryology*
  • Mosaicism/veterinary
  • Phenomics/methods*
  • Phenotype
  • Procollagen-Lysine, 2-Oxoglutarate 5-Dioxygenase/genetics
  • Zebrafish/genetics
PubMed: 32191876 Full text @ Cell Syst
ABSTRACT
Genetic mosaicism can manifest as spatially variable phenotypes that vary from site to site within an organism. Here, we use imaging-based phenomics to quantitate phenotypes at many sites within the axial skeleton of CRISPR-edited G0 zebrafish. Through characterization of loss-of-function cell clusters in the developing skeleton, we identify a distinctive size distribution shown to arise from clonal fragmentation and merger events. We quantitate the phenotypic mosaicism produced by somatic mutations of two genes, plod2 and bmp1a, implicated in human osteogenesis imperfecta. Comparison of somatic, CRISPR-generated G0 mutants to homozygous germline mutants reveals phenotypic convergence, suggesting that CRISPR screens of G0 animals can faithfully recapitulate the biology of inbred disease models. We describe statistical frameworks for phenomic analysis of spatial phenotypic variation present in somatic G0 mutants. In sum, this study defines an approach for decoding spatially variable phenotypes generated during CRISPR-based screens.
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