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Table 1 BPP analysis that jointly estimates the species tree and species delimitation in the Albitarsis Complex

From: Phylogenetic analysis of the Neotropical Albitarsis Complex based on mitogenome data

Algorithm 0

τ ~ IG(3, 0.04)

θ

10-species

9-species (total)

9-species (albF-albI)

9-species (albJ-albH)

9-species (albJ-mara)

Best tree posterior probability

MAP tree

No. trees

IG(3,0.02)

0.87

0.12

0.04

0.03

0.05

0.03 (10-species)

((((alb_F, alb_I), jan), (alb_G, ((alb_H, (alb_J, mara)), dean))), (alb, ory));

4746

IG(3,0.01)

0.92

0.08

0.04

0.02

0.02

0.11 (10-species)

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

658

G(3,0.005)

0.95

0.05

0.03

0.01

0.01

0.33 (10-species)

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

73

τ ~ IG(3, 0.05)

θ

10-species

9-species (total)

9-species (albF-albI)

9-species (albJ-albH)

9-species (albJ-mara)

Best tree posterior probability

 

No. trees

IG(3,0.02)

0.88

0.12

0.04

0.03

0.05

0.03

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

4731

IG(3,0.01)

0.92

0.08

0.03

0.03

0.02

0.11

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

550

IG(3,0.005)

0.95

0.05

0.02

0.02

0.01

0.30

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

78

τ ~ IG(3, 0.06)

θ

10-species

9-species (total)

9-species (albF-albI)

9-species (albJ-albH)

9-species (albJ-mara)

Best tree posterior probability

 

No. trees

IG(3,0.02)

0.88

0.12

0.05

0.03

0.04

0.03

((((alb_F, alb_I), jan), (alb_G, ((alb_H, (alb_J, mara)), dean))), (alb, ory));

4894

IG(3,0.01)

0.92

0.08

0.03

0.03

0.02

0.10

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

693

IG(3,0.005)

0.95

0.05

0.02

0.02

0.01

0.32

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

171

Algorithm 1

τ ~ IG(3, 0.04)

θ

10-species

9-species (total)

9-species (albF-albI)

9-species (albJ-albH)

9-species (albJ-mara)

Best tree posterior probability

  

IG(3,0.02)

0.88

0.12

0.04

0.02

0.04

0.03

((((alb_F, alb_I), jan), (alb_G, ((alb_H, (alb_J, mara)), dean))), (alb, ory));

5066

IG(3,0.01)

0.92

0.08

0.04

0.02

0.02

0.11

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

658

IG(3,0.005)

0.95

0.05

0.02

0.02

0.01

0.31

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

79

τ ~ IG(3, 0.05)

θ

10-species

9-species (total)

9-species (albF-albI)

9-species (albJ-albH)

9-species (albJ-mara)

Best tree posterior probability

 

No. trees

IG(3,0.02)

0.88

0.12

0.04

0.02

0.05

0.03

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

5151

IG(3,0.01)

0.93

0.07

0.03

0.02

0.02

0.11

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

738

IG(3,0.005)

0.95

0.05

0.02

0.01

0.01

0.32

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

70

τ ~ IG(3, 0.06)

θ

10-species

9-species (total)

9-species (albF-albI)

9-species (albJ-albH)

9-species (albJ-mara)

Best tree posterior probability

 

No. trees

IG(3,0.02)

0.88

0.12

0.04

0.02

0.04

0.03

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

4792

IG(3,0.01)

0.92

0.08

0.03

0.02

0.02

0.11

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

686

IG(3,0.005)

0.95

0.05

0.02

0.01

0.01

0.31

((((alb_F, alb_I), jan), (alb, ory)), (alb_G, ((alb_H, (alb_J, mara)), dean)));

75

  1. τ = mean root age, specified by an inverse-gamma prior IG(a, b). Mean = b/(a − 1)
  2. θ = mean genetic diversity, specified by an inverse-gamma prior IG(a, b). Mean = b/(a − 1)
  3. Best tree = maximum a posteriori (MAP) species tree
  4. No. trees = number of trees in the 95% credibility set