Journal of Biogeography (J. Biogeogr.) (2013) 40, 37–49
ORIGINAL
ARTICLE
Phylogeny and comparative
phylogeography of Sclerurus (Aves:
Furnariidae) reveal constant and cryptic
diversification in an old radiation
of rain forest understorey specialists
Fernando M. d’Horta1*, Andrés M. Cuervo2, Camila C. Ribas3,
Robb T. Brumfield2 and Cristina Y. Miyaki1
1
Departamento de Genética e Biologia
Evolutiva, Instituto de Biociências,
Universidade de São Paulo, Brazil,
2
Department of Biological Sciences and
Museum of Natural Science, Louisiana State
University, Baton Rouge, USA, 3PCAC
Instituto Nacional de Pesquisas da Amazônia,
Manaus, Brazil
ABSTRACT
Aim To evaluate the role of historical processes in the evolution of Sclerurus
leaftossers by integrating phylogenetic and phylogeographical approaches.
Location Humid forests of the Neotropical region.
Methods We reconstructed the evolutionary history of Sclerurus based on DNA
sequences representing all species and 20 of the 26 recognized subspecies using
one autosomal nuclear locus and three protein-coding mitochondrial gene
sequences. Phylogenetic relationships were inferred using Bayesian and
maximum-likelihood methods. We used Bayesian coalescent-based approaches
to evaluate demographic changes through time, and to estimate the timing of
diversification events. Based on these results, we examined the temporal
accumulation of divergence events using lineage-through-time plots.
Results The monophyly of all Sclerurus species was strongly supported except for
Sclerurus mexicanus, which was paraphyletic in relation to Sclerurus rufigularis,
and for the sister pair Sclerurus scansor–Sclerurus albigularis, which were not
reciprocally monophyletic in the nuclear tree. We found remarkably deep
phylogeographical structure within all Sclerurus species, and overall this structure
was congruent with currently recognized subspecies and Neotropical areas of
endemism. Diversification within Sclerurus has occurred at a relatively constant
rate since the Middle Miocene.
Main conclusions Our results strongly support the relevance of
physiographical (e.g. Nicaragua Depression, Isthmus of Panama, Andean
Cordillera, great rivers of Amazonia) and ecological barriers (open vegetation
corridor) and ecological gradients (elevational zonation) to the diversification of
Neotropical forest-dwelling organisms. Despite the high congruence among the
spatial patterns identified, the variance in divergence times suggests multiple
speciation events occurring independently across the same barrier, and a role
for dispersal. The phylogenetic patterns and cryptic diversity uncovered in this
study demonstrate that the current taxonomy of Sclerurus underestimates the
number of species.
*Correspondence: Fernando Mendonça d’Horta,
Rua do Matão 277, 05508-090, São Paulo, SP,
Brazil.
E-mail: fmhorta@usp.br
ª 2012 Blackwell Publishing Ltd
Keywords
Amazonia, Andes, areas of endemism, biogeographical barriers, cryptic diversity,
elevational zonation, Great American Interchange, molecular clock, Neotropics,
Sclerurinae.
http://wileyonlinelibrary.com/journal/jbi
doi:10.1111/j.1365-2699.2012.02760.x
37
F. M. d’Horta et al.
INTRODUCTION
The origin of the high biodiversity that characterizes the
Neotropics has long been of interest to biogeographers
(Wallace, 1853). Many historical and ecological mechanisms
have been hypothesized to explain the origin of the biogeographical patterns within this region (e.g. Chapman, 1917;
Haffer, 1969; Ayres & Clutton-Brock, 1992; Bush, 1994; Fjeldså
et al., 1999; Brumfield, 2012). In the Neotropical region
different taxa often show similar distributions, which are used
to define areas of endemism (Cracraft, 1985). Based on the
conceptual framework of vicariance biogeography (Platnick &
Nelson, 1978) some studies on the diversification of Neotropical birds used congruence among area relationships to infer
the biogeographical processes (e.g. Cracraft & Prum, 1988;
Marks et al., 2002; Aleixo & Rossetti, 2007). However, ignoring
temporal information obscures the connection between biogeographical patterns and their underlying causes (Donoghue
& Moore, 2003) because a single pattern of area relationships
can be achieved through different processes.
In the last decade temporal inferences have often been
incorporated in studies of diversification of Neotropical bird
lineages (e.g. Aleixo, 2004; Brumfield et al., 2007; Derryberry
et al., 2011). Although many of these taxa have experienced the
same history of landscape evolution, the results of these studies
revealed differences among spatio-temporal patterns of diversification. The explanation of this may involve stochastic
processes (e.g. dispersal and extinction) and ecological differences among taxa, such as dispersal ability and ecophysiological constraints (Burney & Brumfield, 2009).
Here we present a comprehensive study of the historical
diversification of the Sclerurus leaftossers (Aves: Furnariidae).
Sclerurus is an old, monophyletic group (Derryberry et al.,
2011) that comprises six species of strictly understorey, leaflitter specialists, highly sensitive to habitat disturbance (Stotz
et al., 1996). The geographical ranges of Sclerurus species are
dissected by the major biogeographical barriers of the
Neotropics and encompass the main Neotropical forest biomes
from southern Brazil to central Mexico.
Herein we analyse the evolutionary history, divergence time
and diversification patterns of Sclerurus leaftossers across the
Neotropical region. We maximized the geographical sampling
of all taxa to minimize problems with potential cryptic
diversity. Thus, we provide a comprehensive temporal and
spatial analysis of the history of this group.
MATERIALS AND METHODS
Sampling
We reconstructed the phylogeny of Sclerurus based on 119
ingroup samples representing all six species in the genus and
20 of the 26 subspecies (Remsen, 2003) (see Appendix S1 in
Supporting Information). The outgroup taxa were defined
based on previous phylogenies (Irestedt et al., 2009; Derryberry et al., 2011). We included two species of Geositta miners
38
(Geositta poeciloptera and Geositta tenuirostris), that is the
sister-group of Sclerurus, and representatives of the closely
related subfamilies, e.g. Xenops minutus (Furnariinae) and
Lepidocolaptes angustirostris (Dendrocolaptinae). For most
samples, we sequenced a total of 2962 bp from fragments of
four loci: one autosomal nuclear locus, b-fibrinogen intron 7
(Fib7), and three protein-coding mitochondrial DNA
(mtDNA) genes: cytochrome b (cyt b) and NADH dehydrogenase subunits 2 (ND2) and 3 (ND3). DNA extraction,
amplification, sequencing and alignment procedures are
described in Appendix S2.
Phylogenetic analyses
The phylogenetic analyses were performed separately for
mtDNA (2408 bp) and for Fib7 (914 bp). To estimate gene
trees we used maximum-likelihood (ML) and Bayesian inference (BI) approaches. To select the simplest model of molecular
evolution with the highest likelihood for the data, we applied a
likelihood-ratio test (LRT) performed using Modeltest 3.7
(Posada & Crandall, 1998). The ML searches were performed
using RAxML 7.0.4 (Stamatakis, 2006), assuming a general
time-reversible (GTR) model of evolution with distributed rate
heterogeneity, four rate categories, and estimation of the
proportion of invariable sites. The ML analyses of mtDNA
were carried out considering three partitions (one partition per
gene: cyt b, ND2 and ND3). To determine if analyses had
become trapped in local optima, we conducted 10 independent
ML searches. The robustness of the nodes was determined by
1000 bootstrap replicates, using the ‘fast bootstrap’ algorithm of
RAxML. The BI with Markov chain Monte Carlo (MCMC)
sampling was implemented in MrBayes 3.1.2 (Ronquist &
Huelsenbeck, 2003). As in the ML analyses, a partitioned
analysis was conducted with three locus-specific models,
estimating parameters independently for each partition
(nst = 6; rates = invgamma). We conducted two independent,
parallel analyses with four simultaneous chains each for 10
million generations, sampling parameters and trees every 1000
generations. We evaluated the convergence between analyses by
comparing the posterior probabilities of clades using awty
(Nylander et al., 2008). The first 2.5 million generations were
discarded as burn-in and the posterior probabilities were
estimated from the remaining trees.
Temporal patterns of lineage diversification
The timing of diversification events within Sclerurus was
estimated using a subset of the mtDNA sequence matrix
containing all species and one exemplar of each intra-specific
clade that represented divergent populations (Appendix S1).
Divergence times were estimated using the Bayesian approach
implemented in beast 1.5.1 (Drummond & Rambaut, 2007)
with the uncorrelated relaxed clock model (uncorrelated
lognormal). The calibration used was based on the results of
dating of the Furnariidae radiation obtained by Derryberry
et al. (2011) in a very comprehensive study that included 97%
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
Sclerurus phylogeny and phylogeography
of furnariid species and used similar genetic markers (ND2,
ND3, CO2 and Fib7). We used the confidence intervals
obtained by Derryberry et al. (2011) to set lower and upper
limits of uniform prior distributions of ages for the most
recent common ancestor for five clades within the Sclerurus
phylogeny. Based on the resulting time-calibrated tree from
beast, the temporal accumulation of divergence events was
examined using lineage-through-time (LTT) plots to test for
changes in lineage-splitting events along the evolutionary
history of Sclerurus. Given the deep phylogeographical structure within Sclerurus species (see Results), we used the least
inclusive terminal clades for this analysis. We used phylogenetic and likelihood-based statistical methods implemented in
R 2.13.0 (R Development Core Team, 2011): packages ape 2.7
(Paradis et al., 2004), laser 2.2 (Rabosky, 2006) and geiger
(Harmon et al., 2008).
We compared diversification events of Sclerurus among 10
major biogeographical areas to examine the spatial and temporal
congruence of divergence in co-occurring lineages. The 10
biogeographical areas considered are: Central America – north
(CAN; Mexico to Nicaragua), Central America – south (CAS;
Costa Rica to Darién, north-western Colombia), Chocó (CHO;
from Darién to western Ecuador), base of the Andes (BAN;
eastern Andean foothill forests from southern Colombia to
Bolivia), western Amazonia – south (WAS; lowland forests from
the right bank of the Amazon/Ucayali rivers to the left bank of the
Madeira River), western Amazonia – north (WAN; lowland
forests from the left bank of the Amazon/Ucayali rivers to the
right bank of the Negro River), Brazilian shields – west (BSW; the
right bank of the Madeira River to the left bank of the Xingu
River), Brazilian shields – eastern (BSE; the right bank of the
Xingu River to the eastern limits of Amazonia), Guiana Shield
(GUY; northern Amazonia from the left bank of the Negro River
to the eastern limit of Amazonia) and Atlantic forest (ATF;
southern Brazil, eastern Paraguay and north-eastern Argentina to
north-eastern Brazil). These areas were designated based on their
geological, geographical and palaeoecological similarities and
distinctions (Bates, 2001; Campbell et al., 2006; Aleixo &
Rossetti, 2007) and based on patterns of distributions for
terrestrial vertebrates (Haffer, 1974; Cracraft, 1985).
Comparative demography
We examined the molecular signature of past demographic
events in Amazonian populations of each species using the
mtDNA and Fib7 data. We used a Bayesian approach
implemented in phase 2.0 (Stephens et al., 2001; Stephens &
Donnelly, 2003) to identify heterozygous haplotypes of Fib7.
Heterozygous indel positions were not found. To evaluate the
existence of significant evidence of recombination in Fib7, the
pairwise homoplasy index (PHI) test (Bruen et al., 2006) was
performed for each lineage using SplitsTree 4.10 (Huson &
Bryant, 2006). We calculated population genetic summary
statistics and estimated parameters such as genetic diversity
(Q) and population growth rate (g) using the lamarc package
(Kuhner, 2006). lamarc implements a MCMC method for
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
sampling genealogies and calculates a likelihood curve used to
determine the values of Q and g that maximize the probability
of originating the empirical data. lamarc analyses were
performed with five replicates of 10 short chains each (500
genealogies sampled each 50 interactions and a burn-in of 1000
genealogies), and two long chains (20,000 genealogies sampled
each 50 interactions and a burn-in of 1000 genealogies). For
these analyses we did not consider the migration effect among
populations. Because the PHI test indicated that the null
hypothesis of no recombination could not be rejected, the
parameter r (recombination) was not considered in the
lamarc analyses. In addition, we used Tajima’s D (Tajima,
1989), Fu’s FS test (Fu, 1997) and R2 (Ramos-Onsins & Rozas,
2002) to test the scenarios of population expansion. The
significance of the tests was determined based on 10,000
coalescent simulations, which assumed neutrality and equilibrium conditions. These analyses were performed using DnaSP
4.10.9 (Rozas et al., 2003).
RESULTS
Data characteristics
An alignment of 2048 bp of mtDNA (119 individuals)
contained cyt b (1022 bp; 117 individuals), ND2 (1041 bp;
118 individuals) and ND3 (345 bp; 119 individuals). We
obtained 914 bp of the nuclear intron Fib7 from 107 individuals. No indels were present in the mitochondrial alignment,
but some were identified in the Fib7 dataset. All sequences
were deposited in GenBank under the accession numbers
JQ903619–JQ904023.
The mtDNA dataset was characterized by 826 (40.3%)
variables and 785 (38.3%) parsimony-informative sites, and
the Fib7 dataset by 93 (10.2%) variables and 73 (8.0%)
parsimony-informative sites. The GTR + I + C evolutionary
model (pinv = 0.5353 and a = 1.3229) was selected for all
partitions of mtDNA, while the HKY + C model (C = 0.2708)
was selected for Fib7.
The uncorrected mtDNA distance between Sclerurus and its
sister genus Geositta (Irestedt et al., 2009; Derryberry et al.,
2011) was 18.4%. Within Sclerurus, mitochondrial genetic
distances ranged from 16.1% (South American Sclerurus
mexicanus versus Sclerurus scansor) to 2.7% (S. scansor versus
Sclerurus albigularis). Although pronounced genetic structure
was found within all species, the mean genetic distances among
populations within species were quite variable, ranging from
12.1% between the two major clades of the broadly defined S.
mexicanus (Central versus South American populations) to
0.16% among S. scansor populations (Appendix S3).
Phylogeny of Sclerurus species
The phylogenetic ML and BI analyses of the mitochondrial and
nuclear data sets strongly support the monophyly of the genus
Sclerurus. Two main clades were identified within Sclerurus
(Fig. 1). The first includes four light-throated species segre39
F. M. d’Horta et al.
(a)
(b)
S. scansor/
albigularis
94/1
92/0.99
S. mexicanus
(South America)
100/1
87/1
73/0.96
58
59/0.63
95/1
98/1
S. mexicanus
(Central America)
S. guatemalensis
97/1
0.01
S. caudacutus
80/0.90
Geositta poeciloptera
Xenops minutus
Figure 1 Phylogenetic relationships of Sclerurus leaftossers. Maximum likelihood tree inferred from (a) 2408 bp of mitochondrial DNA
(mtDNA; cyt b, ND2 and ND3) and (b) from 914 bp of Fib7. Maximum likelihood bootstrap (1000 replicates) and Bayesian inference
posterior probability values are shown at the nodes. Illustrations are from nominate subspecies, except for Sclerurus mexicanus from South
America, which is represented by subspecies S. m. obscurior (courtesy of Lynx Edicions; Handbook of the birds of the world, Vol. 8, 2003).
40
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
Sclerurus phylogeny and phylogeography
gated into two clades: (1) a sister pair of cross-Andes lowland
species, Sclerurus caudacutus and Sclerurus guatemalensis; and
(2) a sister pair of a circum-Amazonian species of foothill
montane forests, S. albigularis and an Atlantic forest species,
S. scansor (Fig. 1). The second main clade in Sclerurus includes
the rufous-throated species: the Amazonian lowland Sclerurus
rufigularis that forms a polytomy with two deeply divergent
S. mexicanus clades, one from Central America (Mexico to
Darién) and the other from South America (Fig. 1). Except for
S. mexicanus, all currently recognized species of Sclerurus were
found to be monophyletic according to the mtDNA gene tree
with high statistical support (Fig. 1a). Although the Fib7 gene
tree largely reflects the same phylogenetic structure of mtDNA,
the reciprocal monophyly between S. scansor and S. albigularis
was not recovered. However, because the geographical sampling for S. albigularis was the least comprehensive of all, our
current results do not allow us to draw strong conclusions
about the phylogeography of that species (Fig. 1b).
Intra-specific differentiation in Sclerurus leaftossers
A striking pattern recovered by the wide geographical
sampling is the pervasive population genetic structure within
all Sclerurus species (Fig. 2). We found congruence between
c. 80% of the subspecies sampled and the intra-specific
lineages in the mtDNA tree, suggesting an overall good
correspondence between phenotypic and phylogeographical
breaks in Sclerurus. Exceptions were the subspecies of S.
mexicanus from north-western South America and Darién
(see below). However, the observed phylogeographical patterns are even more complicated than those suggested by the
currently recognized subspecies. These patterns are largely
consistent with the known Neotropical areas of endemism
(Figs 2 & 3) and are bounded by either known physiographic
barriers such as the Nicaragua Depression, the Andes, the
Madeira, Negro and Amazon/Solimões rivers, open diagonal
(Caatinga, Cerrado and Chaco), or by ecological gradients
such as different elevational zones along the Andean foothills
(Figs 2 & 3).
Temporal patterns of divergence
Divergence time estimates were obtained for 27 nodes
distributed throughout the Sclerurus phylogeny (Fig. 3).
Diversification within the genus was estimated to have
occurred over the last 12 million years and at a relatively
constant rate. A pure-birth model of diversification provided
the best fit to the data [diversification rate = 0.28, Akaike
information criterion (AIC) = )11.41, DAIC = 0, log-likelihood = 6.71], although the LTT curve tended to border the
lower end of the expected diversification rate under that model
(Fig. 4). Likelihood ratio tests did not reject the pure-birth
model as the best fit to the data in comparison with birth–
death and two-rate models. Intra-specific lineages of different
species separated by a common geographical feature were
compared to test for spatial and temporal congruence. Few
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
patterns were common in both spatial and temporal aspects
within Sclerurus (Fig. 3, Table 1). The divergence between
lineages from Andean foothills and Amazonian lowlands (red
line) occurred at similar times both in S. albigularis (Fig. 3,
node 19) and in South American S. mexicanus (Fig. 3, node 6).
Also, the split associated with the Amazon River (orange line)
occurred at similar times in both S. rufigularis (Fig. 3, node 10)
and S. caudacutus (Fig. 3, node 23).
Historical demography in Amazonia
Tests based on summary statistics suggest distinct demographic scenarios for different populations of Sclerurus
leaftossers (Table 2). The FS results for both mtDNA and
Fib7 datasets, as well as the R2 result for the mtDNA dataset,
indicate recent population expansion within the S. rufigularis
population from WAN. Significant values were also obtained
for the S. caudacutus and S. rufigularis populations from BSW.
For S. caudacutus the FS test was significant for Fib7, and the R2
test was significant for Fib7 and mtDNA. The FS and R2 tests
within S. rufigularis were only significant for the mtDNA
dataset. Tajima’s D-test results were not significant for any of
the studied populations (Table 2). A similar scenario emerged
from lamarc analyses (Fig. 5). Populations of S. rufigularis
and S. peruvianus from GUY and BAN, respectively, exhibited
95% confidence intervals (CI) of the population growth rate
(g) that overlapped with zero (Fig. 5); hence, the null
hypothesis of constant effective population size was not
rejected. On the other hand, positive g values were obtained
for populations associated with WAN, WAS and BSW,
suggesting scenarios of population expansion (Fig. 5).
DISCUSSION
Origin, diversification and systematics
Sclerurus is one of the oldest genus-level lineages in the
Furnariidae radiation (mean estimated age of 22 Ma; c. 26 Ma
in Derryberry et al., 2011), yet the genus is relatively homogeneous in morphology and coloration, and has comparatively
few species. Our phylogeographical results demonstrated deep
genetic divergence within Sclerurus species, suggesting that the
low phenotypic diversity in Sclerurus may obscure cryptic
species-level diversity. Our results provide an opportunity for a
better taxonomic interpretation of Sclerurus diversity, particularly in S. mexicanus.
In some cases, intra-specific divergence times, as observed in
S. mexicanus (3.09–5.49 Ma) and S. caudacutus (2.43–
3.97 Ma), surpassed the divergence times between distinct
species, as in S. scansor and S. albigularis (1.74–2.81 Ma), and
between many sister species pairs in the Furnariidae (Derryberry et al., 2011) and other passerine birds (Roy et al., 1997;
Garcı́a-Moreno et al., 1999; Chesser, 2004). The high genetic
diversity within Sclerurus species, the long time of isolation of
differentiated populations and the potential geographical
overlap in some of these forms highlight the need for an
41
F. M. d’Horta et al.
(a)
(c)
(b)
(d)
Figure 2 Geographical distribution of genetic variation in Sclerurus species in the Neotropics. Phylogeographies are depicted as maximum
likelihood trees based on a mitochondrial DNA concatenated dataset with bootstrap and posterior probability values at the node. Individuals
are labelled as in Appendix S1 and coloured according to geography and lineage. Each map depicts the overall geographical range of each
species and the location of sampled localities coloured and labelled as in each tree and Appendix S1: (a) Sclerurus albigularis and S. scansor;
(b) S. caudacutus and S. guatemalensis; (c) S. mexicanus of Central America (upper right), and S. obscurior, S. andinus, S. peruvianus and S.
macconnelli of South America (lower left); and (d) S. rufigularis.
integrative systematic revision of this group to properly reflect
this diversity in its taxonomic classification.
The non-monophyly of S. mexicanus given the phylogenetic
uncertainty of its two major clades in relation to S. rufigularis,
as well as the relatively ancient time of isolation among major
clades, and the elevational parapatry of divergent lineages
along the Andes slopes (see below) support a redefinition of
species boundaries in this complex. First, the Central American
lineages that include samples referable to the subspecies
Sclerurus mexicanus mexicanus and Sclerurus mexicanus pullus
(M1 to M8, Fig. 2c), should be regarded minimally as one full
species. Second, divergent South American populations of
S. mexicanus exhibit elevational parapatry on both sides of the
Andes, which is a strong indication of evolutionary isolation
and supports the elevation of these populations to species rank.
42
In particular, along the elevational gradient of the western
Andes two deeply divergent clades were identified: one
including the birds from the lowlands of Esmeraldas, Ecuador,
near the type locality of the taxon Sclerurus mexicanus obscurior
(M9 and M10, Fig. 2c); and other from the highlands (c. 1100–
2000 m) of Ecuador, Colombia and Venezuela (M11–M14,
Fig. 2c) corresponding to the range of Sclerurus andinus. In the
eastern Andean slope we also identified two parapatric lineages
along the elevational gradient: one referable to the taxon
Sclerurus macconnelli is widespread throughout the Amazonian
lowlands (M15–M24, Fig. 2c), while Sclerurus peruvianus
includes populations from the Andean foothills and outlying
ridges (M25–M33, Fig. 2c).
Therefore, we suggest the recognition of five species within
the current S. mexicanus: (1) Sclerurus mexicanus Sclater, 1856
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
Sclerurus phylogeny and phylogeography
Figure 3 Chronogram of Sclerurus diversification in the Neotropics from beast analysis based on the concatenated mitochondrial DNA
dataset. The bars on nodes represent the 95% confidence intervals around the mean divergence times, and are coloured according to the
biogeographical break separating sister clades. Individuals analysed are identified as in Appendix S1. Biogeographical areas are: CAN
(Central America – north), CAS (Central America – south), CHO (Chocó), NAN (northern Andes), BAN (base of the Andes), WAS (western
Amazonia – south), WAN (western Amazonia – north), BSW (Brazilian shields – west), BSE (Brazilian shields – eastern), GUY (Guiana
Shield), and ATF (Atlantic forest).
(type locality: Ituribisci River, Guyana), comprising the
Amazonian lowlands and, probably, the central Atlantic forest,
corresponding to the ranges of subspecies Sclerurus mexicanus
macconnelli and Sclerurus mexicanus bahiae, respectively; (5)
Sclerurus peruvianus Chubb, 1919 (type locality: Yurimaguas,
Loreto, Peru), comprising the populations of eastern Andean
foothills from Bolivia to eastern Colombia, also reaching the
lowlands and outlying ridges in north-western Amazonia.
Hereafter we will follow this classification and refer to
mexicanus taxa of Central American as S. mexicanus, and
South American taxa as S. obscurior, S. andinus, S. macconnelli
and S. peruvianus.
Biogeography
Figure 4 Lineage-through-time plot (logarithmic scale) and 95%
confidence intervals (according to the inset legend) under the
pure-birth model of Sclerurus lineage diversification in the Neotropics.
(type locality: Veracruz, Mexico) of Central America, comprising the ranges of S. m. mexicanus Sclater, 1856 and S. m.
pullus Bangs, 1902; (2) Sclerurus obscurior Hartert, 1901 (type
locality: Lita, Esmeraldas, Ecuador) of the Chocó lowlands of
Ecuador and Colombia; (3) Sclerurus andinus Chapman, 1914
(type locality: Buenavista, above Villavicencio, Colombia) of
the humid Andean slopes of western Ecuador, Colombia and
western Venezuela; (4) Sclerurus macconnelli Chubb, 1919
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
Central–South America disjunction
Despite the uncertainty of evolutionary relationships in the
rufous-throated group, our estimates of divergence times
indicate that the split between the Central (i.e. S. mexicanus)
and all the South American lineages (i.e. S. obscurior,
S. andinus, S. macconnelli, S. peruvianus and S. rufigularis)
occurred during the Middle Miocene, between 6.5 and
10.5 Ma (nodes 2 and 3; Fig. 3, Table 1), and divergence
between S. guatemalensis clades occurred during Late Pliocene–Early Pleistocene (from 1.0 to 1.9 Ma; node 22; Fig. 3,
Table 1). Two hypotheses invoke specific timings of the origin
of the Panamanian land bridge between Central and South
America. It is generally held that the final closure of the
43
F. M. d’Horta et al.
Isthmus of Panama occurred around 3.5 Ma (Coates et al.,
1992). An emerging alternative hypothesis based on recent
fossil dating suggests that the final closure occurred between 12
Table 1 Ages and 95% confidence intervals (CI) for nodes of the
time-calibrated phylogeny of Sclerurus leaftossers (Fig. 3). Minimum and maximum ages were determined for five nodes following Derryberry et al. (2011); see text for details.
Node
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
Age (Ma)
12.89
8.74
7.98
4.73
2.55
1.42
1.19
0.92
0.66
2.98
1.78
1.41
2.17
4.23
6.76
2.27
0.90
0.59
1.74
1.34
5.73
1.47
3.20
2.02
0.92
1.08
0.65
CI (Ma)
Calibration
11.26–15.11
6.99–10.51
6.47–9.77
3.61–5.95
1.92–3.31
1.06–1.83
0.85–1.54
0.62–1.24
0.40–0.94
2.28–3.80
1.24–2.33
0.89–1.94
1.53–2.84
3.09–5.49
5.52–8.01
1.74–2.81
0.61–1.23
0.36–0.83
1.30–2.24
0.95–1.77
4.80–6.68
1.00–1.98
2.43–3.97
1.52–2.56
0.61–1.23
0.75–1.43
0.42–0.92
11.26–16.55
and 20 Ma (Farris et al., 2011; Montes et al., 2012). Considering the ecological characteristics of Sclerurus (e.g. presumed
low dispersal ability), this new temporal hypothesis is attractive
because the dispersion between Central and South America,
followed by the differentiation (node 2; Fig. 3, Table 1), would
have occurred after the final closure of the Isthmus of Panama,
and not before, as under the traditional geological dating.
Differences in divergence times across the isthmus have also
been observed in other terrestrial organisms (Koepfi et al.,
2007; Cody et al., 2010; Smith & Klicka, 2010; Johnson &
Weckstein, 2011).
6.56–11.87
Central America disjunction
5.40–8.60
1.72–3.43
The main phylogeographical break identified within S.
mexicanus sensu stricto is associated with the Nicaragua
Depression, the biogeographical barrier that defines the limits
between the CAN and CAS. This barrier is important for a
number of unrelated taxa (e.g. Duellman, 1999; Marshall &
Liebherr, 2000; Pérez-Emán, 2005). The estimated divergence
time between CAN and CAS lineages of S. mexicanus was
substantial (from 3.09 to 5.49 Ma; node 14; Fig. 3, Table 1),
placing the differentiation of S. m. mexicanus (CAN) and S.
m. pullus (CAS) in the Late Miocene–Early Pliocene. Narrow
landmasses (Kirby & MacFadden, 2005) and marine gaps
occurred in this region during most of the Miocene (Coates
& Obando, 1996). The estimated divergence time between the
two Central American S. mexicanus lineages show a great
overlap with that estimated for Cerropidion snakes (from 3.1
to 6.0 Ma; Castoe et al., 2009), but is more recent than
estimates for other snakes, Bothriechis and Atropoides (5.7–9.9
and 6.8–10.6, respectively; Castoe et al., 2009), suggesting
more than one vicariance event across the Nicaraguan
Depression.
3.69–6.68
Table 2 Results of summary statistical tests applied to populations of Sclerurus leaftossers associated with distinct regions of Neotropics, for
mitochondrial DNA (mtDNA; cyt b, ND2 and ND3), and to Fib7.
Tests
Region
Species
Marker
n
D
Base of the Andes (BAN)
S. peruvianus
Guiana shields (GUY)
S. rufigularis
Western Amazonia – north (WAN)
S. rufigularis
Western Amazonia – south (WAS)
S. caudacutus
Brazilian shields – west (BSW)
S. caudacutus
mtDNA
Fib7
mtDNA
Fib7
mtDNA
Fib7
mtDNA
Fib7
mtDNA
Fib7
mtDNA
Fib7
5
10
6
10
8
8
11
16
5
10
7
14
)1.16
1.32
)0.53
0.05
)1.60
)0.43
)0.45
)0.41
)0.68
)0.85
)1.18
0.36
S. rufigularis
ns
ns
ns
ns
ns
ns
ns
ns
ns
ns
ns
ns
FS
R2
1.21 ns
)0.63 ns
1.10 ns
)0.91 ns
)8.19**
)11.67**
)0.48 ns
)1.75 ns
)0.75 ns
)5.99**
)2.94*
)1.12 ns
0.33 ns
0.22 ns
0.20 ns
0.16 ns
0.06**
0.11 ns
0.19 ns
0.16 ns
0.14*
0.11*
0.12*
0.17 ns
n, number of sequences; D, Tajima’s (1989) D-test; FS, Fu’s (1997) FS-test; R2, Ramos-Onsins & Rozas’ (2002) R2-test.
ns, not significant; *P < 0.05; **P < 0.01.
44
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
Sclerurus phylogeny and phylogeography
GUY
WAN
BAN
WAS
BSW(1)
BSW(2)
g
-2000 -1000
0
the coalescent processes, selection, demographic processes and
ecological traits. Also, differential rates of molecular evolution
between lowland and montane lineages (Gillman et al., 2009)
could potentially affect our interpretation of the influence of
the Andean uplift on the diversification of Sclerurus. Such a
pattern is suggested in our data, especially in the South
American clade formed by S. obscurior (lowlands), S. andinus
(montane), S. macconnelli (lowlands) and S. peruvianus
(montane), where there appears to be a gradient of branch
lengths that decrease with increasing elevation (see Fig. 2c).
1000 2000 3000 4000 5000 6000 12000
Elevational zonation in the trans-Andean foothills
Figure 5 Values of exponential population growth rate (g) of
Sclerurus lineages from distinct Amazonian biogeographical regions. Light grey bars represent populations for which 95% confidence intervals of g include zero, hence demographic stability is
inferred; dark grey bars represent populations that have experienced demographic expansion. GUY: Guiana Shield (S. rufigularis); WAN: western Amazonia – north (S. rufigularis); WAS:
western Amazonia – south (S. caudacutus); BAN: base of the
Andes (S. peruvianus); BSW: Brazilian shields – west (1, S. rufigularis; 2, S. caudacutus).
Disjunctions across the Andes
The importance of the Andes in the differentiation of the
Neotropical biotas is unquestionable, but their function as a
primary (Chapman, 1917) or secondary (Haffer, 1967) barrier
has been the subject of debate (e.g. Brumfield & Capparella,
1996; Ribas et al., 2007).
The sister species pair S. caudacutus–S. guatemalensis, as well
as S. obscurior–S. macconnelli/peruvianus, are isolated by the
Andes (Fig. 2b,c, respectively). Divergence time estimates
between these two cross-Andes pairs are largely similar,
overlapping between 4.8 and 6.0 Ma (Fig. 3; nodes 21 and
4). The estimates of divergence time between cis- and transAndean lineages of lowland species in these Sclerurus taxa
(Fig. 3, Table 1) and Pyrilia (6.8–8.8 Ma; Ribas et al., 2005),
suggest that those lineages diverged between the Late Miocene
and Early Pliocene. On the other hand, pairs of montane
lineages, i.e. S. andinus and S. peruvianus (up to 2200 m)
diverged during the Late Pliocene (1.9–3.3 Ma; node 5; Fig. 3,
Table 1) or, in the case of the Pionus corallinus–Pionus
mindoensis group (up to 3000 m; Ribas et al., 2007) during
the Pleistocene. These results are congruent with the expected
differential effect that the Andean uplift may have had in
species with distinct elevational ranges. Additionally, the
divergence times are compatible with the temporal evolution
of the Andes (Gregory-Wodzicki, 2000).
In contrast, Ribas et al. (2007) estimated the divergence
time between cis- and trans-Andean lineages of lowland
lineages of Pionus as being between 0.34 and 1.41 Ma,
indicating dispersal of populations after the Andes had already
reached high elevations.
Large variation among divergence times across barriers
could arise for a number of reasons, such as the stochasticity of
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
Along the continuum of humid forests from the Chocó
lowlands to the slopes of the western Andes, two lineages seem
to be segregated elevationally: S. obscurior restricted to the
Chocó lowlands (M09 and M10, Fig. 2c), and S. andinus found
locally from about 1000 m (often up to 2000 m) along the
western slopes of the Andes from Ecuador to Venezuela (M11–
M14, Fig. 2c). The two lineages are potentially syntopic at an
intermediate point of the elevational and ecological gradient,
where no obvious physical barrier is in place. Furthermore, our
results indicate that the lowland Chocó (i.e. S. obscurior) and
the Andean foothill species (i.e. S. andinus) have been
evolutionarily isolated for a substantial length of time; they
last shared a common ancestor in the Early Pliocene, between
3.6 and 6.0 Ma (node 4; Fig. 3, Table 1). The Andean foothill
lineage originated during the Late Pliocene–Early Pleistocene,
between 1.9 and 3.3 Ma (node 5; Fig. 3, Table 1). In addition,
another case of elevational parapatry is observed between two
divergent, non-sister lineages of the South American mexicanus
group: S. macconnelli and S. peruvianus. These two species are
in close geographical proximity in southern Peru and Bolivia
but seem to occupy different elevations along the cis-Andean
foothills (M25–M33 versus M15–M24; Fig. 2c). Although
elevational zonation is a prominent characteristic of the
Andean avifauna (Terborgh, 1977; Graves, 1985), so far only
a few studies have documented ecological replacement of
closely related, ecologically equivalent species along elevational
gradients (Dingle et al., 2006; Cadena, 2007).
Cis-Andean South America disjunctions
Several birds, including Sclerurus, exhibit high congruence in
the geographical range boundaries of divergent populations
across cis-Andean forests. However, our results and the
available data strongly suggest that these biogeographical
patterns emerged more than once as a result of distinct
sequences of cladogenetic events (e.g. Marks et al., 2002;
Aleixo, 2004; Ribas et al., 2011).
Recent studies have shed new light on the processes of
landscape change in Amazonia since the Miocene (Hoorn
et al., 1995, 2010; Rossetti et al., 2005; Campbell et al., 2006).
The available data support the idea that different areas of
Amazonia experienced distinct rates of landscape change, with
WA (see Fig. 3) being the most dynamic (Hoorn et al., 1995;
45
F. M. d’Horta et al.
Rossetti et al., 2005; Campbell et al., 2006). Marine incursions
during the Miocene (Räsänen et al., 1995), as well as the
development of a mega-wetland system in western Amazonia
during the Early to Middle Miocene, caused by the Andean
uplift (Hoorn et al., 2010), would have isolated three regions
of Amazonia (Bates, 2001; Aleixo & Rossetti, 2007): GUY, BS
and BAN (Fig. 3). With the increase in the rate of Andean
uplift the sedimentary wedge progressed to the east, promoting
the disappearance of the mega-wetland system in western
Amazonia and allowing the expansion of terra firme environments through this region.
The evolutionary relationships among Sclerurus lineages
support the geographical predictions that emerge from this
scenario. Three species have lineages associated with WA (S.
macconnelli, S. caudacutus, S. rufigularis), but no WA lineage
occupies basal positions regarding BA, BS or GUY lineages,
whereas in S. macconnelli and S. caudacutus, GUY and BA
lineages are basal in relation to WA lineages. In addition,
demographic expansion was inferred for populations associated with WA (WAS, S. caudacutus; WAN, S. rufigularis),
whereas the hypothesis of demographic stability was not
rejected for populations from BA (S. peruvianus) and GUY (S.
rufigularis) (Fig. 5). The two populations from BSW also
exhibit clear signs of population expansion (Fig. 5), unlike that
observed for Xiphorhynchus (Aleixo, 2004) and Psophia (Ribas
et al., 2011). These contrasting patterns in BSW are expected
considering that this region was partially submerged by the
wetland system (Bates, 2001).
Some authors support the hypothesis that the end of the WA
mega-wetlands took place during the Miocene (Hoorn et al.,
1995; Figueiredo et al., 2009), whereas recent studies indicate
that the wetland system may have persisted until the Pliocene
or Pleistocene (Rossetti et al., 2005; Campbell et al., 2006;
Latrubesse et al., 2010). The estimates of divergence time
among WA lineages and the historical demographic results are
congruent with the scenario of recent evolution of western
Amazonian drainage: the divergence between WA and GUY/BS
lineages was estimated at 2.2 Ma (95% CI, 1.5–2.8;
S. rufigularis, Fig. 3, node 13, Table 1) and 2.02 Ma (1.5–2.6;
S. caudacutus, Fig. 3, node 24, Table 1); and the divergence
time between WAN and WAS lineages of S. caudacutus was
estimated at 0.9 Ma (0.6–1.2; Fig. 3, node 25, Table 1).
The demographic results obtained for cis-Andean Sclerurus
could be interpreted as temporally congruent with the
mechanism proposed by Haffer (1969), but are highly
contrasting with the palaeoenvironmental scenarios inferred
for this region (Anhuf et al., 2006), which suggest that forests
of GUY and parts of the BS region would have been strongly
reduced during glacial periods, while those of WA would have
remained stable.
ACKNOWLEDGEMENTS
We thank J. V. Remsen, L. N. Gillman and the anonymous
referees who reviewed the manuscript and help us to improve
it. We are indebted to the numerous collectors, and the
46
following curators, staff and institutions for providing tissue
samples: J. Bates and D. Willard (FMNH), A. Aleixo and F.
Lima (MPEG), J. Cracraft and P. Sweet (AMNH), N. Rice
(ANSP), G. Graves and J. Dean (USNM), D. López and the
GEMA group (IAvH-BT), J. Pérez, M. Lentino and J. Miranda
(COP), and J. Klicka (MBM) (see Appendix S1 for institutions
in full). Lynx Edicions kindly provided permission to use
images from Handbook of birds of the world. This research was
funded by Coordenação de Aperfeiçoamento de Pessoal de
Nı́vel Superior, Fundação de Amparo à Pesquisa do Estado de
São Paulo and Conselho Nacional de Desenvolvimento
Cientı́fico e Tecnológico to F.M.H.; by National Science
Foundation grants DBI-0400797, DEB-0543562, DEB-0910285
to R.T.B.; and by the Lewis and Clark Exploration Fund,
Wilson Ornithological Society, American Ornithologists’
Union, Society of Systematic Biologists, Chapman Fund of
the AMNH, Society of Integrative and Comparative Biology,
and Idea Wild to A.M.C. We thank the support of local
authorities for granting research permits. We finally thank P.
E. Vanzolini for his constant support.
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BIOSKETCH
Fernando M. d’Horta received his PhD from Universidade
de São Paulo. His scientific interests include evolution and
biogeography of Neotropical birds, based on molecular and
morphological data.
Author contributions: F.M.H. and A.M.C. conceived the ideas
and conducted the laboratory analysis; F.M.H., A.M.C. and
C.C.R. analysed the data; F.M.H. and A.M.C. led the writing;
and C.C.R., R.T.B. and C.Y.M. provided samples and
participated in the discussions and writing.
Editor: Len N. Gillman
SUPPORTING INFORMATION
Additional Supporting Information may be found in the
online version of this article:
Appendix S1 Tissue samples analysed, taxa, collection
number and localities.
Appendix S2 Procedures of DNA extraction, amplification,
sequencing and alignment.
Appendix S3 Mean pairwise (p) distances between and
within species of Sclerurus leaftossers.
As a service to our authors and readers, this journal provides
supporting information supplied by the authors. Such materials are peer-reviewed and may be re-organized for online
delivery, but are not copy-edited or typeset. Technical support
issues arising from supporting information (other than
missing files) should be addressed to the authors.
Journal of Biogeography 40, 37–49
ª 2012 Blackwell Publishing Ltd
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