Table 1.
Coding scheme |
Rate parameters |
Events inferred with PP >0·5 |
Chromosome no. at Araceae root node |
Chromosome no. ranges at Araceae root node |
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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Analysis | Tree: outgroups | All poly. | Red. poly. | Inf. | Best model | LogLik | AIC | δ | λ | ρ | μ | Losses | Gains | Dupl. | Demi. | Bayes: Best n; PP | Bayes: 2nd best n; PP | ML | n | Sum PP | n | Sum PP |
A1 | + | + | Mc2 | –219·5 | 445 | 45·9 | 3·9 | 6·9 | – | 98·1 | 8·4 | 14·3 | 14·3 | 18; 0·18 | 16; 0·16 | 16 | 16–18 | 0·5 | 8–18 | 0·9 | ||
A2 | + | + | Mc2 | –236·4 | 478·9 | 56·4 | 0 | 6·3 | – | 112·2 | 0 | 11·5 | 13 | 18; 0·26 | 17; 0·13 | 16 | 17–19 | 0·51 | 10–20 | 0·85 | ||
A3 | + | + | Mc2 | –245·7 | 497·3 | 58·2 | 0 | 5·7 | – | 120·1 | 0 | 11·9 | 13·9 | 18; 0·26 | 19; 0·12 | 17 | 17–19 | 0·52 | 10–20 | 0·9 | ||
A4 | – | + | Mc2 | –196·6 | 399·1 | 50·4 | 1·8 | 6·6 | – | 86·6 | 3·2 | 10·5 | 9·3 | 18; 0·38 | 17; 0·3 | 17 | 17–19 | 0·86 | ||||
A5 | – | + | Mc2 | –213·2 | 432·4 | 53·6 | 0 | 5·6 | – | 87·2 | 0 | 9·8 | 9·4 | 18; 0·42 | 17; 0·23 | 17 | 17–19 | 0·9 | ||||
A6 | – | + | Mc2 | –222·4 | 450·7 | 58·1 | 0 | 5·4 | – | 94·4 | 0 | 9·7 | 10·5 | 18; 0·37 | 19; 0·34 | 18 | 17–19 | 0·85 |
Only the best-fitting models are shown. Tree (column 2) refers to whether outgroups were included or not; coding scheme refers to how genera with polymorphic haploid chromosome numbers were coded. All poly., all chromosome number polymorphism coded (scheme 1); Red. poly., reduced polymorphism coding (scheme 2); Inf., phylogenetically informed coding (scheme 3). Best model, Mc2 (constant rate model with duplication rate ρ and demi-duplication rate μ; compare Table 2); Logarithmic likelihood (LogLik) and AIC scores; rate parameters (δ = chromosome loss rate, λ = chromosome gain rate, ρ = duplication rate, μ = demi-duplication rate); frequency of the four possible event types with a posterior probability (PP) > 0·5; haploid chromosome number inferred at the root node under Bayesian optimization with the respective PP, and under maximum likelihood (ML). The last column shows the chromosome number range inferred for the root node, each with its PP.