TopHap: rapid inference of key phylogenetic structures from common haplotypes in large genome collections with limited diversity

Author:

Caraballo-Ortiz Marcos A12,Miura Sayaka12ORCID,Sanderford Maxwell12,Dolker Tenzin12,Tao Qiqing12ORCID,Weaver Steven12ORCID,Pond Sergei L K12,Kumar Sudhir123ORCID

Affiliation:

1. Institute for Genomics and Evolutionary Medicine, Temple University , Philadelphia, PA 19122, USA

2. Department of Biology, Temple University , Philadelphia, PA 19122, USA

3. Center of Excellence in Genomic Medicine Research, King Abdulaziz University , Jeddah, Saudi Arabia

Abstract

Abstract Motivation Building reliable phylogenies from very large collections of sequences with a limited number of phylogenetically informative sites is challenging because sequencing errors and recurrent/backward mutations interfere with the phylogenetic signal, confounding true evolutionary relationships. Massive global efforts of sequencing genomes and reconstructing the phylogeny of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) strains exemplify these difficulties since there are only hundreds of phylogenetically informative sites but millions of genomes. For such datasets, we set out to develop a method for building the phylogenetic tree of genomic haplotypes consisting of positions harboring common variants to improve the signal-to-noise ratio for more accurate and fast phylogenetic inference of resolvable phylogenetic features. Results We present the TopHap approach that determines spatiotemporally common haplotypes of common variants and builds their phylogeny at a fraction of the computational time of traditional methods. We develop a bootstrap strategy that resamples genomes spatiotemporally to assess topological robustness. The application of TopHap to build a phylogeny of 68 057 SARS-CoV-2 genomes (68KG) from the first year of the pandemic produced an evolutionary tree of major SARS-CoV-2 haplotypes. This phylogeny is concordant with the mutation tree inferred using the co-occurrence pattern of mutations and recovers key phylogenetic relationships from more traditional analyses. We also evaluated alternative roots of the SARS-CoV-2 phylogeny and found that the earliest sampled genomes in 2019 likely evolved by four mutations of the most recent common ancestor of all SARS-CoV-2 genomes. An application of TopHap to more than 1 million SARS-CoV-2 genomes reconstructed the most comprehensive evolutionary relationships of major variants, which confirmed the 68KG phylogeny and provided evolutionary origins of major and recent variants of concern. Availability and implementation TopHap is available at https://github.com/SayakaMiura/TopHap. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

U.S. National Science Foundation

U.S. National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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