Model adequacy tests for probabilistic models of chromosome‐number evolution

Chromosome number is a central feature of eukaryote genomes. Deciphering patterns chromosome-number change along phylogeny to the inference whole genome duplications and ancestral chromosome numbers. ChromEvol probabilistic tool that allows evaluation several models evolution their fit data. However, fitting model does not necessarily mean describes empirical data adequately. This vulnerability may lead incorrect conclusions when assumptions are met by real Here, we present adequacy test for likelihood evolution. The procedure us determine whether can generate with similar characteristics as those found in observed ones. We demonstrate using inadequate inflated errors tasks. Applying developed method 200 angiosperm genera, find many these, best-fitting provides poor inadequacy rate increases large clades or which hybridizations present. help researchers identify phylogenies whose underlying evolutionary deviate substantially from current modelling should guide future methods development.