low rate of lineage diversification high rates of lineage diversification ancestral trait innovation...

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Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis) Key innovation hypothesis for diversity Low rate of trait diversification no special name? Non-adaptive radiation High rate of trait diversification Adaptive divergence? Local adaptation? Adaptive radiation Niche conservatism

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Page 1: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Low rate of lineage diversification

High rates of lineage diversification

Ancestral trait innovation

Evolutionary dead ends (e.g. specialization hypothesis)

Key innovation hypothesis for diversity

Low rate of trait diversification

no special name? Non-adaptive radiation

High rate of trait diversification

Adaptive divergence? Local adaptation?

Adaptive radiation

Niche conservatism

Page 2: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)
Page 3: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Hodges 95Nectar spurs in Aquilegia

Hodges and Arnold 1995 Proc Roy Soc.

Page 4: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Hodges 97 table

Hodges and Arnold 1995 Proc Roy Soc.

Page 5: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

zygomorphiclaterally symmetric

actinomorphicradially symmetric

Page 6: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Sargent 2004 Proc. Roy. Soc. London B.

D>0: 14D<0: 5

Page 7: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Maddison 2006 Evolution

Page 8: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Maddison et al. 2007 Evolution

Page 9: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Maddison et al. 2007 Evolution

Parameter estimation on

simulated trees, N=500 taxa

Page 10: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Mayrose et al. 2011 Science

Page 11: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Anolis ecomorphs

Page 12: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Losos 98

Losos et al. 1998 Science

Page 13: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Losos 98 - 2a

Losos et al. 1998 Science

Page 14: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Losos 98 - 2a

Losos et al. 1998 Science

Page 15: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Losos 98 - 2a

Losos et al. 1998 Science

Page 16: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)
Page 17: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Glor et al. 2003 Evolution

Page 18: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Harmon 03

Har

mon

et

al.

2003

Sci

ence

lineage diversity index = sum(obs – exp)positive value = early accumulation of lineages

Page 19: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Measuring niche conservatism - phylogenetic signal

K: Blomberg et al. (2003) Evolution; examples: Ackerly, PNAS in review

Blomberg’s K: measures degree of similarity among close relatives, relative to expectations based on Brownian motion

K<<1 K~1 K>>1

convergence brownian conserved

Page 20: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Har

mon

et

al.

2003

Sci

ence

mean subclade disparity/total disparityhigh values = high within group relative to among group variance = low phylo signal

Morphological disparity index = sum(obs-exp): positive values= deep clades span similar trait range, i.e. convergence across clades and low signal

Page 21: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Harmon 03-3

Harmon et al. 2003 Science

early diversification -> greater phylogenetic signal

Page 22: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Diversification of height in maples, Ceanothus and silverswords

~30 mya

~45 mya

rate = 0.014 felsens 0.10 felsens 0.79 felsens

height data: Ackerly, unpubl., Hickman (1993), Wagner (1999) phylogenies: Renner et al .(2008), Hardig et al. (2000), Baldwin & Sanderson (1998)

~5.2 mya

Page 23: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Are there differences among clades in trait diversification (= disparification) rates

O’Meara et al. 2006

Nested ML test:Does a 2 rate model provide a sufficiently better fit than a 1 rate model?

Page 24: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Martin and Wainright 2011

Page 25: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Martin and Wainright 2011

Page 26: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Martin and Wainright 2011

Page 27: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Martin and Wainright 2011

Page 28: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)
Page 29: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Quantifying rates of phenotypic evolution

Haldane (1949) Evolution; Gingerich (1983) Science

1 darwin = change by factor of e

million yrs

Page 30: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Rates of phenotypic diversification under Brownian motion

time

var(x)

1 felsen =

1 Var(loge(trait)

)

million yrs

Ackerly, PNAS 2009

Page 31: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Rates of phenotypic diversification (estimated for Brownian motion model)

Rate (felsens) Leaf sizeHeight

Acer

Aesculus

Arbutoideae

Ceanothus

lobelioids

silverswords

North temperateCaliforniaHawai’i

Acer

Aesculus

Arbutoideae

Ceanothus

lobelioids

silverswords

±1 s.e.

Ackerly, PNAS 2009

Page 32: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Becerra

Becerra 2005 PNAS

Page 33: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Becerra LTTLineages-through-time (LTT) plot

Becerra 2005 PNAS

Page 34: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Inga

Richardson et al. 2001 Science

Page 35: Low rate of lineage diversification High rates of lineage diversification Ancestral trait innovation Evolutionary dead ends (e.g. specialization hypothesis)

Phylica

Richardson et al. 2001 Nature