Inferring B Cell Phylogenies from Paired H and L Chain BCR Sequences with Dowser

Author:

Jensen Cole G.1ORCID,Sumner Jacob A.12ORCID,Kleinstein Steven H.134ORCID,Hoehn Kenneth B.3ORCID

Affiliation:

1. *Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT

2. †Integrated Graduate Program in Physical and Engineering Biology, Yale University, New Haven, CT

3. ‡Department of Pathology, Yale School of Medicine, New Haven, CT

4. §Department of Immunobiology, Yale School of Medicine, New Haven, CT

Abstract

Abstract Abs are vital to human immune responses and are composed of genetically variable H and L chains. These structures are initially expressed as BCRs. BCR diversity is shaped through somatic hypermutation and selection during immune responses. This evolutionary process produces B cell clones, cells that descend from a common ancestor but differ by mutations. Phylogenetic trees inferred from BCR sequences can reconstruct the history of mutations within a clone. Until recently, BCR sequencing technologies separated H and L chains, but advancements in single-cell sequencing now pair H and L chains from individual cells. However, it is unclear how these separate genes should be combined to infer B cell phylogenies. In this study, we investigated strategies for using paired H and L chain sequences to build phylogenetic trees. We found that incorporating L chains significantly improved tree accuracy and reproducibility across all methods tested. This improvement was greater than the difference between tree-building methods and persisted even when mixing bulk and single-cell sequencing data. However, we also found that many phylogenetic methods estimated significantly biased branch lengths when some L chains were missing, such as when mixing single-cell and bulk BCR data. This bias was eliminated using maximum likelihood methods with separate branch lengths for H and L chain gene partitions. Thus, we recommend using maximum likelihood methods with separate H and L chain partitions, especially when mixing data types. We implemented these methods in the R package Dowser: https://dowser.readthedocs.io.

Funder

HHS | NIH | National Institute of Allergy and Infectious Diseases

HHS | NIH | U.S. National Library of Medicine

Publisher

The American Association of Immunologists

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