Claddis: a new R package for automating disparity analyses based on cladistic datasets

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Claddis: a new R package for automating disparity analyses based on cladistic datasets

Graeme T. Lloyd

Acknowledgements

Matt Friedman

Roger Benson

Liam Revell

MarkBell

Extinction

Random

Marginal

Asymmetric

Korn et al. in press

Intensity

Clade comparison

Sidlauskis 2008

Center of gravity

Hughes et al. 2013

Caveat emptor

Anderson and Friedman 2012

Cladistic disparity

Cladisticmatrix

Distancematrix Ordination ‘Morphospace’

Cladistic disparity

Cladisticmatrix

Distancematrix Ordination ‘Morphospace’

TreeAncestral

states‘Phylo-

Morphospace’

Claddis

Cladisticmatrix

Distancematrix Ordination ‘Morphospace’

TreeAncestral

states‘Phylo-

Morphospace’

Inputs Outputs

Claddis

Safe taxonomic reduction

#NEXUS TNT Step matrices

Continuous characters

Other features Current limitations

Data

Choiniere et al. in press

Data

Choiniere et al. in press

114 taxa | 555 characters

Distance

Taxon_i 001011Taxon_j 101101

Taxon_i 001011Taxon_j 101101

Wills et al. 1994

Distance

Ordered vs. Unordered

Gap-coding

Polymorphisms

Weighting

Missing data

Taxon_A 0000000000Taxon_B 00000111??Taxon_C 11????????Taxon_D 00110?????Taxon_E ?????01100

A B

A C

1.73

1.41

Euclidean

8

2

N

2.83

1.41

Max

Rescaled distances

Distance / N = Gower Dissimilarity

Distance / Max = MOD Dissimilarity

A B

A C

0.22

0.71

Gower

0.61

1.00

MOD

Gower vs. MOD

Gower

Gower vs. MODPC

2 (1

6.0%

)

PC1 (34.1%)

Gower

Gower vs. MOD

MOD

Gower vs. MODPC

2 (9

.5%

)

PC1 (14.1%)

MOD

Missing data

Taxon_A 0000000000Taxon_B 00000111??Taxon_C 11????????Taxon_D 00110?????Taxon_E ?????01100

D E ?Euclidean

0N

0Max

Prune

Taxon_A 0000000000Taxon_B 00000111??Taxon_C 11????????Taxon_D 00110?????

Taxon_E ?????01100

Fill gaps

Butler et al. 2011

Average values:(Wills 1997)

Phylogenetic prediction:(Brusatte et al. 2011; Butler et al. 2011)

Phylogenetic predictionEs

timat

e al

l sta

tes

Estimate tipsNo Yes

No

Yes

? ?

=

=

=

=

=

?

?

Phylogenetic predictionEs

timat

e al

l sta

tes

Estimate tipsNo Yes

No

Yes

=

? ?

=

=

=

=

=

?

?

=

? ?

=

=

=

=

?

?

? ?

=

? ?

=

=

=

=

?

?

? ?

Phylogenetic predictionEs

timat

e al

l sta

tes

Estimate tipsNo Yes

No

Yes

=

=

=

=

=

? ?

=

=

=

=

=

?

?

Phylogenetic predictionEs

timat

e al

l sta

tes

Estimate tipsNo Yes

No

Yes

=

=

=

=

=

? ?

=

=

=

=

=

?

?

=

? ?

=

=

=

=

?

?

? ?

=

=

=

=

=

Phylogenetic signalEs

timat

e al

l sta

tes

Estimate tipsNo Yes

No

Yes

0.63

0.66

0.530.52

Ordination

N YNY

Tips

Stat

es

PC1

PC2

Ordination

N YNY

Tips

Stat

es

PC1

PC2

Ordination

N YNY

Tips

Stat

es

PC1

PC2

Ordination with ancestors

PC1

PC2

N YNY

Tips

Stat

es

Ordination with ancestors

N YNY

Tips

Stat

es

PC1

PC2

Ordination with ancestors

N YNY

Tips

Stat

es

PC1

PC2

Ordination with ancestors

N YNY

Tips

Stat

es

PC1

PC2

Ordination with ancestors

Phylogenetic distances

PC1

PC2

Disparity time series

Cladisticmatrix

Distancematrix Ordination ‘Morphospace’

Timeseries

Disparity time series

Cladisticmatrix

Distancematrix Ordination ‘Morphospace’

Timeseries

Timeseries

Benson and Druckenmiller in press

Disparity time series

Tips only

All nodes

Phylogenetic distance time series

Tips only

All nodes

Model residual time series

Tips only

Significantly +ve

Significantly -ve

Model residual time series

All nodes

Significantly +ve

Recommendations

MOD

Recommendations

MOD

N Y

N

Y

Tips

Stat

es

Recommendations

MOD

N Y

N

Y

Tips

Stat

es

Ordination

Timeseries

Distancematrix

Timeseries

Recommendations

MOD

N Y

N

Y

Tips

Stat

es

Ordination

Timeseries

Distancematrix

Timeseries

Recommendations

MOD

N Y

N

Y

Tips

Stat

es

Ordination

Timeseries

Distancematrix

Timeseries

✔Use

!