Systematic genetics and single cell imaging reveal widespread morphological pleiotropy and cell-to-cell variability

Mojca Mattiazzi Usaj1,#, Nil Sahin1,2,#, Helena Friesen1, Carles Pons3, Matej Usaj1, Myra Paz Masinas1, Ermira Shuteriqi1, Aleksei Shkurin1,2, Patrick Aloy3,4, Quaid Morris1,2,5,*, Charles Boone1,2,6,*, and Brenda J. Andrews1,2,*

  • 1The Donnelly Centre, University of Toronto, Toronto, Canada
  • 2Department of Molecular Genetics, University of Toronto, Toronto, Canada
  • 3Institute for Research in Biomedicine (IRB Barcelona), the Barcelona Institute for Science and Technology, Barcelona, Catalonia, Spain
  • 4Instituci├│ Catalana de Recerca i Estudis Avan├žats (ICREA), Barcelona, Catalonia, Spain
  • 5Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
  • 6RIKEN Centre for Sustainable Resource Science, Wako, Saitama, Japan

  • # These authors contributed equally to this work
  • * Correspondence: brenda.andrews@utoronto.ca, charlie.boone@utoronto.ca, morrisq@mskcc.org

Abstract

Our ability to understand the genotype-to-phenotype relationship is hindered by the lack of detailed understanding of phenotypes at a single-cell level. To systematically assess cell-to-cell phenotypic variability, we combined automated yeast genetics, high-content screening, and neural network-based image analysis of single cells, focussing on genes that influence the architecture of four subcellular compartments of the endocytic pathway as a model system. Our unbiased assessment of the morphology of these compartments - endocytic patch, actin patch, late endosome, and vacuole - identified 17 distinct mutant phenotypes associated with ~1600 genes (~30% of all yeast genes). Approximately half of these mutants exhibited multiple phenotypes, highlighting the extent of morphological pleiotropy. Quantitative analysis also revealed that incomplete penetrance was prevalent, with the majority of mutants exhibiting substantial variability in phenotype at the single-cell level. Our single-cell analysis enabled exploration of factors that contribute to incomplete penetrance and cellular heterogeneity, including replicative age, organelle inheritance, and response to stress.