10.5061/DRYAD.ZKH18936N
P. Werneck, Fernanda
0000-0002-8779-2607
National Institute of Amazonian Research/Harvard University
Sheu, Yumi
National Institute of Amazonian Research
P. Zurano, Juan
0000-0003-4201-4366
Federal University of Paraíba
Ribeiro-Junior, Marco A.
Tel Aviv University
C. Ávila-Pires, Teresa
Museu Paraense Emílio Goeldi
T. Rodrigues, Miguel
University of Sao Paulo
R. Colli, Guarino
University of Brasília
The combined role of dispersal and niche evolution in the diversification
of Neotropical lizards
Dryad
dataset
2020
phyloclimatic modeling
Kentropyx
National Council for Scientific and Technological Development
https://ror.org/03swz6y49
475559/2013-4 and 305535/2017-0
Fundação de Amparo à Pesquisa do Estado do Amazonas
https://ror.org/026d6ma13
062.00665/2015 and 062.01110/2017
Partnerships for Enhanced Engagement in Research from the U.S. National
Academy of Sciences and U.S. Agency of International Development-PEER
NAS/USAID
AID-OAA-A-11-00012
Serrapilheira Institute
Serra-1811-25857
Coordenação de Aperfeicoamento de Pessoal de Nível Superior
https://ror.org/00x0ma614
Visiting Professor Fellowship 88881.169862/2018-0)
HOPE Fund-Harvard University
2021-01-23T00:00:00Z
2021-01-23T00:00:00Z
en
3350348 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Ecological requirements and environmental conditions can influence
diversification across temporal and spatial scales. Understanding the role
of ecological niche evolution under phylogenetic contexts provides
insights on speciation mechanisms and possible responses to future
climatic change. Large-scale phyloclimatic studies on the megadiverse
Neotropics, where biomes with contrasting vegetation types occur in narrow
contact, are rare. We integrate ecological and biogeographic data with
phylogenetic comparative methods, to investigate the relative roles of
biogeographic events and niche divergence and conservatism on the
diversification of the lizard genus Kentropyx Spix, 1825 (Squamata:
Teiidae), distributed in South American rainforests and savannas. Using
five molecular markers, we estimated a dated species tree, which recovered
three clades coincident with previously proposed species groups diverging
during the mid-Miocene. Biogeography reconstruction indicates a role of
successive dispersal events from an ancestral range in the Brazilian
Shield and western Amazonia. Ancestral reconstruction of climatic
tolerances and niche overlap metrics indicate a trend of conservatism
during the diversification of groups from the Amazon Basin and Guiana
Shield, and a strong signal of niche divergence in the Brazilian Shield
savannas. Our results suggest that climatic-driven divergence at dynamic
forest-savanna borders might have resulted in adaptation to new
environmental niches, promoting habitat shifts and shaping speciation
patterns of Neotropical lizards. Dispersal and ecological divergence could
have a more important role in Neotropical diversification than previously
thought.
We integrate ecological and biogeographic data with phylogenetic
comparative methods (based on five molecualr markers), to investigate the
relative roles of biogeographic events and niche divergence and
conservatism on the diversification of the lizard genus Kentropyx Spix,
1825 (Squamata: Teiidae), distributed in South American rainforests and
savannas.
Supporting Information for the paper ‘The combined role of dispersal and
niche evolution in the diversification of Neotropical lizards’ by Sheu,
Y., J. P. Zurano, M. A. Ribeiro-Junior, T. C. S. Avila-Pires, M. T.
Rodrigues, G. R. Colli, and F. P. Werneck. Table S1. Details of the
samples used for molecular data collecting, with locality data for
sequenced samples, identification number, longitude and latitude. Table
S2. Primers used for amplification and sequencing of the six loci used in
this study. Table S3. Complete set of Genbank accession numbers (Excel
File). Table S4. Complete set of geographical records used for ecological
niche modeling (Excel File). Table S5. Occurrence points sample sizes and
predictors (bioclimatic, vegetation, and aridity index) used to construct
niche models for nine species of the lizard genus Kentropyx. Parameters
selected for each species and model performance are also depicted. Table
S6. Molecular markers used at this study for Kentropyx spp. H = number of
haplotypes; Hd = haplotype diversity; Pi = Nucleotide diversity (per
site). Fig S1. Nuclear gene tree generated by Bayesian inference from
the concatenated nuclear markers SNCAIP, DNH3, RP40 and R35. Fig S2. Gene
trees generated by Bayesian inference using the markers (a) SNCAIP, (b)
DNH3; (c) RP40 and (d) R35. Fig S3. Species tree and biogeographic
reconstruction with all possible ancestral areas inferred under the DEC +
J model presented as pie charts on each node. Fig S4. Predicted niche
occupancy profiles (PNO) for the nine species of Kentropyx. Fig S5.
Ancestral reconstruction of the 12 variables used to construct the niche
models for Kentropyx.