Inferring inter-chromosomal rearrangements and ancestral linkage groups from synteny

Chromosome rearrangements shape the structure of the genome and influence evolutionary processes. Inferring ancestral chromosomes and rearrangements across a phylogenetic tree is therefore an important analysis within evolutionary genetics. One approach to this inference problem is to focus on synteny information, i.e. the co-occurrence of loci on the same chromosome. Although algorithms for inferring ancestral linkage groups (ALGs) and inter-chromosomal rearrangements from synteny have been previously described, they have seldom been applied to modern genome data. Here we implement these algorithms in a command-line tool, syngraph, and evaluate their performance using simulations that include a mix of different rearrangements and types of error. We show that ALGs and rearrangements can be recovered when the rearrangement frequency per-branch is well below the number of chromosomes. We demonstrate that competing models of rearrangement can be inferred by comparing observed results to simulations. Finally, we reanalyse genome assemblies of rhabditid nematodes and find that independent fusions of the same ALGs pose a challenge that is difficult to overcome without gene-order information. Our simulations and analysis of real data demonstrate both the promise and limitations of using synteny information to infer patterns of genome evolution.