One aspect of pangenome analysis that has received little attention is the recovery of the individual genomes that gave rise to a pangenome graph. While substantial effort has focused on constructing pangenomes from collections of genomes, the inverse problem remains largely unexplored: given a pangenome represented as a set of weighted adjacencies, can we reconstruct the constituent linear genomes that underlie it? Thus we introduce the pangenome peeling problem, which seeks to decompose a weighted adjacency graph into a collection of linear genomes whose combined adjacencies reproduce the observed edge weights. This problem is particularly relevant when considering ancestral pangenomes, where the graph structure may be known or inferred, but the underlying genomes are not. As a first step toward addressing this problem, we formally define pangenome peeling and derive a lower bound on the minimum number of genomes required to explain a given weighted adjacency graph. We then present two reconstruction methods: one based on the sequential addition of edges and a second based on extracting maximum-spanning-tree structures. Both methods produce genome collections that exactly explain the input adjacency data. To evaluate the recovered sets of genomes, we compare them to the set of input genomes using a maximum-weight matching framework based on the double-cut-and-join distance with indels. Here the maximum-spanning tree approach is superior, producing sets of constituent genomes close to the simulations while the sequential addition of edges approach yields constituent genomes increasingly divergent from the input as genomes sizes increase.

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