Supplementary Material Interspecific aggression and character displacement of competitor recognition in Hetaerina damselflies Christopher N. Anderson and Gregory F. Grether Supplemental Experimental Procedures We generated a phylogeny with H. americana (n=10) and H. occisa (n=8) individuals from our study sites to assess whether our sampling design captured independent instances of sympatry with H. titia for both species. Specimens from all sites were preserved in 95% ethanol in the field and placed in -80º C storage prior to analysis. In addition to H. americana and H. occisa, we obtained a sequence from Calopteryx maculate (GenBank accession number: AJ459198.1, Dumont 2005) to serve as an outgroup. DNA was extracted from thorax muscle tissue using the QIAGEN DNA Miniprep extraction kit. A 467 bp fragment containing the ITS1, 5.8S and ITS2 region was amplified and sequenced using published primers (Dumont et al. 2005). Sequences were aligned using ClustalX and manually optimized (Higgins et al. 1996). No sequence polymorphisms were observed. The highly conserved 5.8S gene region was used to position the variable ITS1 and ITS2 regions. Phylogenetic relationships among the 19 genotypes were estimated using neighbor joining (NJ), maximum parsimony (equally weighted) (MP), and maximum likelihood (ML) methods. NJ and MP bootstrap consensus trees were generated from 500 replicates using default settings in MEGA4 (Tamura et al. 2007). The MP tree was obtained using the close-neighbor-interchange algorithm in which the initial trees were obtained with the random addition of sequences (10 replicates). For all approaches, all positions containing gaps/missing data were eliminated from the dataset (complete deletion option). ML analyses used the model of sequence evolution (TVM+G) selected by AIC in Modeltest 3.7. Using parameters estimated on a neighbor-joining tree (Saitou & Nei 1987), we used PAUP* v 4.0b10 (Rogers & Swofford 1998) to perform heuristic searches [tree bisection–reconnection (TBR) branch swapping; 10 random-addition replicates] under the maximum-likelihood (ML) optimality criterion. To test the hypothesis that our sampling design captured independent instances of sympatry, we generated constrained trees that forced monophyly among sympatric sites within species. We used PAUP* to conduct Shimodaira–Hasegawa tests (SH) (Shimodaira & Hasegawa 1999) with full optimization and 1000 bootstrap replicates. SH tests assessed whether the likelihoods of the unconstrained and constrained trees were significantly different. Phylogenetic relationships among study populations The gene trees (Figures S1-S3) of H. americana and H. occisa individuals indicate that phylogenetic relationships are largely interpretable in terms of geography. For example, H. americana individuals originating from Texas (sites RV, CV, LP) form a monophyletic group. All topologies indicate that sympatry with H. titia has arisen independently in both the H. americana and H. occisa clades. ML trees in which sympatric sites were constrained to be monophyletic were significantly worse compared to the optimal (unconstrained) trees (H. americana, SH test p<0.001, H. occisa, SH test, p=0.05). Figure S1. Neighbor-joining estimate of the phylogenetic relationships of study populations based on ribosomal gene and spacer data. Bootstrap support, calculated from 500 replicates, is expressed as percentage. Branches corresponding to partitions reproduced in less than 50% bootstrap replicates are collapsed. Only bootstrap values ≥70 are shown. The scale bar represents 0.05 substitutions/site. Terminal branches are labeled with the study location, the species, and the sympatry/allopatry status of the site. ALLO: H. titia absent at the site. SYM: H. titia present at the site. See Figure 1 for geographic distribution of study locations. Figure S2. Maximum parsimony estimate of the phylogenetic relationships of study populations based on ribosomal gene and spacer data. The MP estimate generated 120 most parsimonious trees. The bootstrap consensus tree was inferred from 500 replicates. Branches corresponding to partitions reproduced in less than 50% bootstrap replicates are collapsed. The tree is drawn to scale, with branch lengths calculated using the average pathway method (Nei and Kumar 2000) and are in the units of the number of changes over the whole sequence. Terminal branches are labeled with the study location, the species, and the sympatry/allopatry status of the site. ALLO: H. titia absent at the site. SYM: H. titia present at the site. See Figure 1 for geographic distribution of study locations. Figure S3. Maximum likelihood estimate of the phylogenetic relationships of study populations based on ribosomal gene and spacer data. Bootstrap support, calculated from 200 replicates, is expressed as percentage. Branches corresponding to partitions reproduced in less than 50% bootstrap replicates are collapsed. The scale bar represents 0.01 substitutions/site. Terminal branches are labeled with the study location, the species, and the sympatry/allopatry status of the site. ALLO: H. titia absent at the site. SYM: H. titia present at the site. See Figure 1 for geographic distribution of study locations. Supplemental Literature Cited Dumont, H. J., Vanfleteren, J. R., De Jonckheere, J. F. & Weekers, P. H. H. 2005 Phylogenetic relationships, divergence time estimation, and global biogeographic patterns of calopterygoid damselflies (Odonata, Zygoptera) inferred from ribosomal DNA sequences. Systematic Biology 54, 347-362. doi:10.1080/10635150590949869 Higgins, D. G., Thompson, J. D. & Gibson, T. J. 1996 Using CLUSTAL for multiple sequence alignments. Computer Methods For Macromolecular Sequence Analysis 266, 383-402. doi:10.1016/S0076-6879(96)66024-8 Rogers, J. S. & Swofford, D. L. 1998 A fast method for approximating maximum likelihoods of phylogenetic trees from nucleotide sequences. Systematic Biology 47, 77-89. doi: 10.1080/106351598261049 Saitou, N. & Nei, M. 1987 The neighbor-joining method - a new method for reconstructing phylogenetic trees. Molecular Biology And Evolution 4, 406-425. Shimodaira, H. & Hasegawa, M. 1999 Multiple comparisons of log-likelihoods with applications to phylogenetic inference. Molecular Biology And Evolution 16, 1114-1116. doi:10.1081/STA-100105696 Tamura, K., Dudley, J., Nei, M. & Kumar, S. 2007 MEGA4: Molecular evolutionary genetics analysis (MEGA) software version 4.0. Molecular Biology And Evolution 24, 1596-1599. doi:10.1093/molbev/msm092