Table 2.

Matrix composition analysis

Matrix ID (% taxa with data from locus)	Min. num. of taxa	Number of loci characters	Parsimony-informative	Variable uninformative	Alignment length	Optimum partitions
15	5	3648	38,718	62,588	13,77,262	31
25	9	3379	37,894	57,672	12,60,248	37
35	12	3232	37,259	56,453	12,27,093	34
45	16	3064	36,539	54,782	11,87,492	31
55	20	2890	35,284	53,200	11,44,471	27
65	24	2668	34,373	51,148	10,91,620	27
75	27	2481	33,031	48,732	10,41,099	20
85	31	2034	29,179	41,711	903,903	16
95	35	1193	18,288	24,189	575,321	15
100	37	212	3480	4778	112,125	6

General alignment information. For a subset of analyses a series of alignments were generated based on the number of taxa represented by each locus. Thirty-seven taxa were examined so an alignment with all 37 taxa was considered 100% complete. Parsimony-informative characters make up a small portion of the total alignment. The optimum partitioning scheme was calculated with PartitionFinder.