Theoretical guarantees for phylogeny inference from single-cell lineage tracing

Author:

Wang Robert1,Zhang Richard2ORCID,Khodaverdian Alex2,Yosef Nir234

Affiliation:

1. Algorithms and Complexity Group, David R. Cheriton School of Computer Science, University of Waterloo, Waterloo ON N2L 3G1, Canada

2. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720

3. Center for Computational Biology, University of California, Berkeley, CA 94720

4. Department of Systems Immunology, Weizmann Institute of Science, Rehovot 7610001, Israel

Abstract

Lineage-tracing technologies based on Clustered Regularly Interspaced Short Palindromic Repeats and CRISPR-associated protein 9 (CRISPR-Cas9) genome editing have emerged as a powerful tool for investigating development in single-cell contexts, but exact reconstruction of the underlying clonal relationships in experiment is complicated by features of the data. These complications are functions of the experimental parameters in these systems, such as the Cas9 cutting rate, the diversity of indel outcomes, and the rate of missing data. In this paper, we develop two theoretically grounded algorithms for the reconstruction of the underlying single-cell phylogenetic tree as well as asymptotic bounds for the number of recording sites necessary for exact recapitulation of the ground truth phylogeny at high probability. In doing so, we explore the relationship between the problem difficulty and the experimental parameters, with implications for experimental design. Lastly, we provide simulations showing the empirical performance of these algorithms and showing that the trends in the asymptotic bounds hold empirically. Overall, this work provides a theoretical analysis of phylogenetic reconstruction in single-cell CRISPR-Cas9 lineage-tracing technologies.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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