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General Outline: 1 – Species & Speciation the Modern Synthesis & Now 2 – Reality of Species 3 – Biodiversity – How Many Species? 4 – Species Definitions/Concepts 5 – Speciation (short version) 6 – Species Delimitation 7 – Multi-species Phylogeography 8 – Conserving Evolutionary Processes
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General Outline: 1 – Species & Speciation the Modern

Feb 09, 2022

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Page 1: General Outline: 1 – Species & Speciation the Modern

General Outline:

1 – Species & Speciation the Modern Synthesis & Now

2 – Reality of Species

3 – Biodiversity – How Many Species?

4 – Species Definitions/Concepts

5 – Speciation (short version)

6 – Species Delimitation

7 – Multi-species Phylogeography

8 – Conserving EvolutionaryProcesses

Page 2: General Outline: 1 – Species & Speciation the Modern

Explicit treeExplicit tree--based methods; are based methods; are sequence data the answer?sequence data the answer?

• Probably not...– Gene tree - species tree incongruence– Paraphyletic nature of speciation pattern

and process– What is the contextual framework?

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Step 1. Catch the LizardStep 2. Extract DNAStep 3. Sequence DNA

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1 species?

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2 species?

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4 species?

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8 species?

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16 species?

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An integrative framework is neededAn integrative framework is needed

• Specimens sorted on the basis of a single data type is not a substantive scientific hypothesis

• Species delimitation is a multifarious problem• We need to be seeking out alternatives

– Traditional taxonomy is not working– Student training needs to change – DNA bar-coding is not a long-term solution– Integrative approaches (multiple lines of evidence) are needed– How do we make first pass assessments of biodiversity?

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Some Tree-based Methods:

- Geographical concordance (Wiens & Penkrot, 2002)

- Genealogical exclusivity (Baum & Shaw 1995)

- Independent Networks (Cardoso & Vogler 1995)

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Edgar Benavides1, Rebecca Baum1, Heidi M. Snell2, Howard L. Snell2, and Jack W. Sites, Jr1.

1Dept. of Biology, Brigham Young Univ., Provo, UT; and 2Dept. Of Biology, Univ. of New Mexico, Albuquerque, NM – Charles Darwin Research Station. Puerto Ayora,

Galapagos, Ecuador

Island Biogeography of Galapagos Lava Lizards (Microlophus):

Species Diversity and Colonization of the Archipelago

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Introduction0.5 Myr 3.5 Myr1.5 Myr 2.5 Myr

Fernandina

Isabela

Santiago

Santa Cruz

Floreana Espanola

Pinta

Duncan

San Cristobal

Marchena

Santa Fe

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Why study LAVA LIZARDS (Microlophus)?

2 colonizations from S.A.

inhabit almost all islands

single species per island

no recorded extinctions

should retain “signature” of evolutionary history that can be reconstructed withgenetic markers

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Tropidurus

1000 Km

OccipitalisOccipitalisgroup: 12 speciesgroup: 12 species

GalapagosGalapagos

Microlophus taxonomy andgeographic distribution of “Occipitalis”and “Peruvianus” groups

PeruvianusPeruvianusgroup: 10 speciesgroup: 10 species

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Multigenephylogeny[Benavides et al. 2007. Syst.Biol. 56:776-797]

Phylogeny

Mainla nd

Mi crol oph us

M. occipitalisJEQM. occipitalisSRMM. occipitalisK777NM. occipitalisTAL

Eastern Galapagos

Eastern Galapagos 2 Islands + Northern Peru Microlophus occipitalis

Western G

alapagosWestern Galapagos Microlophus + probably extinct mainland taxon

= 1.0 PP, 100 BV

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Methods

n = 96

n = 5

n = 53

n = 173

n = 208

n = 54

n = 20

n = 41

n = 14

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Cohesion Species Cohesion Species Concept (Templeton Concept (Templeton 1989)1989)

“The most inclusive population of individuals having the potential for phenotypic cohesion through intrinsic cohesion mechanisms.”

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Cohesion Species Cohesion Species Concept (Templeton Concept (Templeton 1989)1989)

“The most inclusive population of individuals having the potential for phenotypic cohesion through intrinsic cohesion mechanisms.”

– Hypothesis 1: a species is derived from a single evolutionary lineage (TCS/NCPA)

– Hypothesis 2: a species is genetically exchangeable and/or ecologically interchangeable

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Rader et. al. 2005Rader et. al. 2005

• What is ecological exchangeability?• traits related to growth, size, fecundity, mortality

• How can it be tested? • Reciprocal transplant experiments• Common environment experiments• Both needed to distinguish between phenotypic plasticity and

local adaptation

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ApomastusApomastus

Aptostichus simusAptostichus simus

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Species delimitation problemsSpecies delimitation problems

• These taxa represent one end of the spectrum– Extreme geographic structuring - every sampling locality is

genetically unique– High levels of divergence (e.g., intra:10 - 14%; inter 14 - 24%)– Analytically problematic - geographical concordance - NCA, etc.

(Hedin & Wood 2002)– Phylogeographic breaks stochastic (Irwin 2002, Kuo and Avise

2005)– Species boundaries become highly arbitrary - no objective means

for basal delineation– Lack requisite characteristics often used - cryptic species problem

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Species delimitation problemsSpecies delimitation problems

• Species are lineages• How are lineages first identified as basal lineages?

– Failure to connect in haplotype networks– Genealogical exclusivity– Nested Clade Analysis (clades identified as

fragmented)• Once lineages are identified what criteria are used

to sort among them? - problem of diagnosability and concept– Adaptive diversity– Evolutionary potential

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Niche-Based Distribution Modeling

• species distributions (Rotenberry et al. 2006)• new species (Raxworthy et al. 2003)• speciation mechanisms (Graham et al. 2004)• historical patterns of species richness (Graham et al. 2006)• areas for new sampling (Stockman et al. 2006)• extinction patterns (Bond et al. 2006)• future range shifts due to climate change (Iverson et al. 1999)• areas susceptible to invasive species (Underwood et al. 2004)• areas susceptible to disease transmission (Costa et al. 2002)

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Spider not to scale

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Four partitions:• COI: 1st, 2nd, 3rd codon

positions• 16S rRNAModels of nucleotide substitution:• GTR+I+Γ: partitions 1, 3, 4• HKY+I+Γ: partition 28 million generationsburnin at 7 million generationsln-likelihood = -18562.74

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GeneticExchangeability

EcologicalInterchangeabilityNO

YES

Stop -1 species

NO2 methods

YES

Stop -1 species

Stop -MultipleSpecies

Stop -1 species

NO1 method

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MaxEnt• Phillips et al. 2006• maximum entropy• environmental parameters:

– elevation– annual precipitation– precipitation driest month– precipitation wettest month– max T warmest month– min T coldest month– mean monthly T range– Central Valley– temperature seasonality– precipitation seasonality

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Spatial Overlap of DM’s• Overlap of sister lineage DM’s calculated• Overlap % = (Area of Overlap) / (Area of Smaller DM)• D-NOVL v1.3 (Stockman, Danell, & Bond, 2008, Mol. Ecol.

Notes; www.mygalomorphae.org)– Monte Carlo based null model simulations– Determine the probability distribution of overlap amounts expected if the

DMs were distributed randomly– Ho = DMs are randomly distributed– Rejection of Ho suggests DMs are ecologically interchangeable

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Rotated Component MatrixComponent

1 2

Annual precipitation 0.959 -0.060

Precipitation of wettest quarter 0.939 -0.036

Precipitation of driest quarter 0.937 -0.082

Precipitation of coldest quarter 0.932 -0.030

Precipitation of warmest quarter 0.914 -0.080

Precipitation of wettest month 0.904 -0.036

Annual mean temperature -0.887 0.348

Precipitation of driest month 0.837 -0.188

Temperature annual range -0.311 0.945

Mean monthly temperature range -0.172 0.938

Minimum temperature of coldest month -0.206 -0.935

Temperature seasonality -0.406 0.909

Mean temperature of wettest quarter -0.363 -0.895

Maximum temperature of warmest month -0.458 0.880

Mean temperature of coldest quarter -0.473 -0.834

Mean temperature of driest quarter -0.630 0.760

Isothermality 0.540 -0.736

Mean temperature of warmest quarter -0.664 0.730

Total Variance Explained

Component

Rotation Sums of Squared Loadings

Total % of VarianceCumulative

%

1 8.715 48.418 48.418

2 7.570 42.057 90.475

Principle Components Analysis & MANOVA(sensu Graham et al. 2004)

• PCA

• MANOVA– test for significant difference of PC

scores– clade = fixed factor– PCs = dependent variables– equality of covariance matrices -

Box’s M– overall F statistic

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• Male leg I (n = 30)– 10 measurements– PCA– 90% of the variation

• Spermathecae (n = 40)– 5 measurements– PCA– 95% of the variation

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•• mtDNAmtDNA genealogygenealogy– ~1500 bp: 12S, tRNA, 16S– 11 outgroup species– 167 individuals from 75

localities– Bayesian inference

• 3 partitions (GTR + Γ + I)• MrBayes 3.1.2• 3 million generations• Ln = -31256.83

– Highly structured geographically

– Divergent genetically (> 23%)

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Species delimitation• Focal taxon genealogically exclusive• Geographic structuring, clades divergent with

strong support• Divergence and structuring exceed limitations of

TCS and NCA (60 sp. min.)• 15 - 20 species (conservatively) using

geographical concordance of mtDNA lineages

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Bond & Stockman 2008 (Sys. Bio.)

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A. atomarius SimonA. angelinajolieaeA. miwok

A. salinasA. stanfordianus Smith

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