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ORIGINALARTICLE
Evolutionary drivers ofphylogeographical diversity in thehighlands of Mexico: a case study of theCrotalus triseriatus species group ofmontane rattlesnakes
Robert W. Bryson Jr1*, Robert W. Murphy2,3, Amy Lathrop2 and
David Lazcano-Villareal4
1School of Life Sciences, University of Nevada,
Las Vegas, Las Vegas, NV, USA, 2Centre for
Biodiversity and Conservation Biology, Royal
Ontario Museum, Toronto, ON, Canada,3State Key Laboratory of Genetic Resources and
Evolution, Kunming Institute of Zoology,
The Chinese Academy of Sciences, Kunming,
China, 4Laboratorio de Herpetologıa,
Universidad Autonoma de Nuevo Leon, San
Nicolas de los Garza, Nuevo Leon, Mexico
*Correspondence: Robert W. Bryson Jr, School
of Life Sciences, University of Nevada, Las
Vegas, 4505 Maryland Parkway, Las Vegas, NV
89154-4004, USA.
E-mail: [email protected]
ABSTRACT
Aim To assess the genealogical relationships of widespread montane rattlesnakes
in the Crotalus triseriatus species group and to clarify the role of Late Neogene
mountain building and Pleistocene pine–oak forest fragmentation in driving the
diversification of Mexican highland taxa.
Location Highlands of mainland Mexico and the south-western United States
(Texas, New Mexico, and Arizona).
Methods A synthesis of inferences was used to address several associated
questions about the biogeography of the Mexican highlands and the
evolutionary drivers of phylogeographical diversity in co-distributed taxa. We
combined extensive range-wide sampling (130 individuals representing five
putative species) and mixed-model phylogenetic analyses of 2408 base pairs of
mitochondrial DNA to estimate genealogical relationships and divergence times
within the C. triseriatus species group. We then assessed the tempo of
diversification using a maximum likelihood framework based on the birth–
death process. Estimated times of divergences provided a probabilistic temporal
component and questioned whether diversification rates have remained
constant or varied over time. Finally, we looked for phylogeographical
patterns in other co-distributed taxa.
Results We identified eight major lineages within the C. triseriatus group, and
inferred strong correspondence between maternal and geographic history within
most lineages. At least one cryptic species was detected. Relationships among
lineages were generally congruent with previous molecular studies, with
differences largely attributable to our expanded taxonomic and geographic
sampling. Estimated divergences between most major lineages occurred in the
Late Miocene and Pliocene. Phylogeographical structure within each lineage
appeared to have been generated primarily during the Pleistocene. Although the
scale of genetic diversity recognized affected estimated rates of diversification,
rates appeared to have been constant through time.
Main conclusions The biogeographical history of the C. triseriatus group
implies a dynamic history for the highlands of Mexico. The Neogene formation of
the Transvolcanic Belt appears responsible for structuring geographic diversity
among major lineages. Pleistocene glacial–interglacial climatic cycles and
resultant expansions and contractions of the Mexican pine–oak forest appear
to have driven widespread divergences within lineages. Climatic change, paired
with the complex topography of Mexico, probably produced a myriad of species-
specific responses in co-distributed Mexican highland taxa. The high degree of
Journal of Biogeography (J. Biogeogr.) (2011) 38, 697–710
ª 2010 Blackwell Publishing Ltd http://wileyonlinelibrary.com/journal/jbi 697doi:10.1111/j.1365-2699.2010.02431.x
Page 2
INTRODUCTION
The geographical location, complex topography, and dynamic
tectonic and climatic history of the Mexican highlands provide
a matrix for the evolution of a spectacularly diverse biota. The
Mexican highlands harbour a significant amount of western
North America’s biodiversity (Ramamoorthy et al., 1993;
Mittermeier et al., 2005) and a level of biotic endemism
scarcely rivalled elsewhere (Peterson et al., 1993). The evolu-
tionary drivers of this diversity, however, remain poorly
documented. Despite early broad-scale inferences about the
biogeographical history of Mexico, dating back to Dunn (1931),
few studies explore the historical diversification of Mexican
highland taxa. This impedes the ability of researchers to identify
fine-scale biogeographical patterns and the extent to which
these apply to co-distributed taxa (McCormack et al., 2008a).
Neogene vicariance, largely due to orogenesis, and Quater-
nary climate change have been the postulated drivers of
evolutionary diversification in western North America (e.g.
Jaeger et al., 2005; Riddle & Hafner, 2006). Although most of
the major mountain ranges in Mexico are relatively ancient
(Ferrusquıa-Villafranca, 1993; Ferrusquıa-Villafranca & Gon-
zalez-Guzman, 2005), the Transvolcanic Belt of central Mexico
was formed during the Neogene (Ferrusquıa-Villafranca, 1993;
Becerra, 2005). This development may have had a significant
impact on the diversification of highland taxa, because the
uplift created new geographical barriers and montane habitats,
and linked previously isolated highland biotas (Anducho-
Reyes et al., 2008). Historical diversification of highland taxa
may also have been influenced by dramatic habitat fluctuations
during the Pleistocene that resulted in the cyclical downward
displacement and retraction of Mexican pine–oak woodlands
(Martin & Harrell, 1957; Van Devender, 1990; McDonald,
1993). This displacement could have resulted in population
and range expansions in highland species during glacial
periods, and isolation in high elevation refugia during the
interglacials (Moreno-Letelier & Pinero, 2009). Subsequent
post-glacial fragmentation of Mexican pine–oak woodlands
(Van Devender, 1990) may have caused fragmentation of these
isolated refugial populations (e.g. McCormack et al., 2008b).
Gene flow would have been affected by these events.
Molecular studies of montane Mexican taxa often discover
complex phylogeographical patterns. In small mammals, for
example, mitochondrial DNA (mtDNA) differentiation is high
and allopatric populations are generally monophyletic (Sulli-
van et al., 1997; Harris et al., 2000; Hafner et al., 2005; Leon-
Paniagua et al., 2007). Several morphologically cryptic mater-
nal lineages occur within the Transvolcanic Belt, Sierra Madre
Oriental and Sierra Madre del Sur (small mammals: Sullivan
et al., 1997; Harris et al., 2000; Arellano et al., 2005; Leon-
Paniagua et al., 2007; birds: Garcıa-Moreno et al., 2004;
Navarro-Siguenza et al., 2008; Puebla-Olivares et al., 2008).
These high levels of genetic divergence suggest that endemism
in the Mexican highlands may be vastly underestimated.
Studies of genetic structuring in other co-distributed taxa are
needed in order to develop a more complete understanding of
the evolutionary drivers of diversification.
The relatively small-bodied montane rattlesnakes (Viperi-
dae) inhabiting the pine–oak forests of mainland Mexico
represent an ideal model system for investigating historical
patterns of diversification in the Mexican highlands. This large
group includes 40% of the total number of currently recog-
nized species of rattlesnakes (Campbell & Lamar, 2004) and is
found in all of the major mountainous regions of Mexico. The
phylogenetic relationships among these rattlesnakes, however,
are contentious. Those species currently allied with the
Crotalus triseriatus species group (C. triseriatus, C. aquilus,
C. lepidus, C. pusillus and C. ravus; Murphy et al., 2002; Castoe
& Parkinson, 2006) are especially difficult to classify. The
content of this species group varies despite more than 65 years
of intensive systematic effort (Gloyd, 1940; Smith, 1946;
Klauber, 1952, 1972; Brattstrom, 1964; Dorcas, 1992; Murphy
et al., 2002). Furthermore, several authors suggest that the
Mexican highlands may harbour one or more cryptic species
within the C. triseriatus species group (Armstrong & Murphy,
1979; Murphy et al., 2002).
Our study addresses several questions relating to the
evolutionary history of the C. triseriatus species group. We
combine extensive range-wide sampling and mixed-model
phylogenetic analyses to formulate a robust hypothesis of
phylogenetic relationships and to address long-standing
uncertainties about cryptic diversity. We also estimate dates
of lineage divergences based on a relaxed molecular clock to
provide a probabilistic temporal calibration for the phylogeny.
We model the temporal distribution of divergence events to
assess the potential effects of Late Neogene mountain building
and Pleistocene pine–oak forest fragmentation on the tempo of
diversification. Finally, we look for phylogeographical patterns
genetic differentiation recovered in our study and others suggests that the
Mexican highlands may contain considerably more diversity than currently
recognized.
Keywords
Biogeography, divergence dating, diversification rates, Mexico, phylogeography,
pine–oak forest, reptiles, Transvolcanic Belt, Viperidae.
R. W. Bryson Jr et al.
698 Journal of Biogeography 38, 697–710ª 2010 Blackwell Publishing Ltd
Page 3
in the C. triseriatus group that are shared with other
co-distributed highland taxa.
MATERIALS AND METHODS
Taxon sampling and laboratory methods
Between 1999 and 2009 we collected 130 samples (see
Appendix S1 in the Supporting Information) from throughout
the distribution of all putative taxa in the C. triseriatus group
(Fig. 1). Four samples were collected from a morphologically
distinct, undescribed species closely related to C. pusillus
(herein referred to as ‘Crotalus sp.’), and three samples were
from specimens intermediate between C. lepidus and C. aquilus
(Ct160, Ct197 and Ct201; herein referred to as ‘C. lepidus x
aquilus’). Based on recent phylogenetic analyses (Murphy
et al., 2002; Castoe & Parkinson, 2006; Wuster et al., 2008), we
used Sistrurus catenatus and S. miliarus as outgroup taxa.
We sequenced relatively slowly evolving and more quickly
evolving regions of the mitochondrial genome, including 12S
and 16S ribosomal RNA genes, NADH dehydrogenase subunit
4 and flanking tRNAs (ND4), and ATPase subunits 8 and 6
(ATPase 8, ATPase 6). These gene regions have been shown to
be informative at different levels of divergence within rattle-
snakes (Pook et al., 2000; Murphy et al., 2002; Wuster et al.,
2005; Douglas et al., 2006). Total genomic DNA was extracted
from liver, shed skins, or ventral scale clips using proteinase K
(22 mg mL)1 in 10 mm Tris-HCl, pH 7.5) in a lysis buffer
(100 mm Tris, 5 mm Na2EDTA, 200 mm NaCl, 0.2% SDS) and
incubated at 37 �C. Shed skins often required 2–3 days to fully
16º
41
99 55
53
61 46
3936
59
163
24 35
7
8
29
140*161
162*
20
160
32*
118*
2*
135
137*136
254
165
301643
124126 15*
172
1* 21
233*
259
209*
239*
14
168
216*
222226
237
227*
230*
116*
266
283
R21
R55
klauberi
lepidus
morulus
maculosus
aquilus
armstrongitriseriatus
112
111*252
215127
26*22310
31 9197
12*
142
201
19318*
143*
255 261*262* 6
155157 238*
33*122
27
165
R57
208R42
144*
17 121*
267*150
149*
154
211
199
204
152
168
153225 139
200R44
pusillus
Crotalus sp.brunneus
exiguus
ravus
Major mtDNA lineages
lepidus
triseriatus
pusillusCrotalus sp.
aquilus
ravus
morulus
armstrongi
Figure 1 Map of Mexico and the south-
western United States depicting the sample
localities and distribution (adapted from
Campbell & Lamar, 2004) for the Crotalus
triseriatus species group. Symbols indicate
major mitochondrial DNA (mtDNA) lin-
eages inferred in this study, and numbers
refer to specific sample numbers (see
Appendix S1). Asterisks denote multiple
samples obtained from the same locality. The
prefix ‘Ct’ was omitted from the sample
numbers for clarity.
Phylogeography of the Crotalus triseriatus group
Journal of Biogeography 38, 697–710 699ª 2010 Blackwell Publishing Ltd
Page 4
digest, and an additional 12.5 lL of proteinase K was added
every 24 h. Samples were cleaned using two washes of
phenol:chloroform:isoamyl alcohol (25:24:1) followed by a
final wash of chloroform:isoamyl alcohol (24:1).
All gene regions were amplified via polymerase chain
reaction (PCR) in a 25 lL reaction volume containing
0.8 lL deoxynucleoside triphosphates (dNTPs) (10 mm),
19.0 lL double-distilled water, 1.0 lL each primer (10 pm),
2.5 lL 1· PCR buffer (1.5 mm MgCl2; Fisherbrand, Pitts-
burgh, PA, USA), 0.75 U Taq DNA polymerase (Fisherbrand),
and 1.0 lL template DNA. Previously published primer
sequences are given in Murphy et al. (2002; 12S, 16S). For
amplification of ND4 we modified one of the forward primers
of Arevalo et al. (1994) (12931L: 5¢-CTA CCA AAA GCT CAT
GTA GAA GC-3¢) and used the LEU reverse primer (Arevalo
et al., 1994). Primers for ATPase were designed specifically for
this project: (9974L: 5¢-AGC ACT AGC CTT TTA AGY T-3¢and 10830H: 5¢-AGA AAC CCT ATT TTT AGT ACT AG-3¢).
Initially, DNA was denatured at 94 �C for 2 min, followed by
39 cycles of: 94 �C for 30 s, 48–50 �C for 45 s, 72 �C for 45 s.
A final extension phase of 72 �C for 7 min terminated the
protocol. The entire 25 lL reaction was visualized on a 1%
agarose gel containing ethidium bromide. Sharp, clear bands
were excised from the gel and placed in a filter tip (Sorenson;
75-30550T). DNA was collected in a 1.7 mL Eppendorf tube
after centrifuging the DNA through the filter tip for 10 min at
16.1 rcf.
We sequenced in both directions using the amplification
primers and Big Dye Terminator v.3.1 cycle sequencing kit
(Applied Biosystems, Foster City, CA, USA). We used 4 lL of
the cleaned PCR product in one-quarter reaction volume of
that recommended by ABI (Applied Biosystems). Samples were
analysed with an ABI Prism 3100 Genetic Analyzer (Applied
Biosystems). Forward and reverse sequences for each individ-
ual were edited and manually aligned using BioEdit 5.0.9
(Hall, 1999). Identical sequences for samples from the same
locality were collapsed into one haplotype.
Phylogenetic analyses
We analysed our sequence data using Bayesian inference (BI)
and maximum likelihood (ML) phylogenetic methods. BI
analyses were conducted using MrBayes 3.1 (Ronquist &
Huelsenbeck, 2003) on the combined mtDNA dataset, imple-
menting separate models for each gene region (ATPase 8,
ATPase 6, ND4, combined tRNAs, 12S, and 16S). MrModel-
test 2.1 (Nylander, 2004) was used to select a best-fit model of
evolution, based on the Akaike information criterion (AIC),
for each partition. MrBayes settings included random starting
trees, a variable rate prior, a mean branch length exponential
prior of 100, and heating temperature of 0.02. Analyses
consisted of four runs (n runs = 4) each conducted with three
heated and one cold Markov chain while sampling every 100
generations for 4 million generations. Output parameters were
visualized using the program Tracer v1.4 (Rambaut &
Drummond, 2007) to ascertain stationarity and whether or
not the duplicated runs had converged on the same mean
likelihood. We further assessed convergence by evaluating
posterior probability clade-support values post burn-in using
the on-line application Are We There Yet (AWTY; Wil-
genbusch et al., 2004). After determining chain convergence,
which occurred during the first 500,000 generations of each
run, we conservatively discarded all samples obtained during
the first one million (25%) generations as burn-in. A 50%
majority-rule consensus phylogram with nodal posterior
probability (PP) support was estimated from the combination
of the four runs post-burn-in. ML analyses were conducted
using RAxML 7.0.3 (Stamatakis, 2006) with the same parti-
tioning scheme used for the BI analyses. The GTRGAMMA
model was used, and 1000 nonparametric bootstrap replicates
were performed to assess nodal support. We considered those
nodes with ‡95% Bayesian posterior probability and ‡70%
bootstrap support as strongly supported (Hillis & Bull, 1993;
Felsenstein, 2004).
Divergence dating
We estimated divergence dates using a Bayesian relaxed
molecular clock as implemented in beast v.1.5.4 (Drummond
& Rambaut, 2007). Because of potential problems associated
with model parameter variance across heterogeneous datasets
(Guiher & Burbrink, 2008), we inferred divergence estimates
for a reduced dataset, which included one or two individuals
from each geographically structured maternal group within
each lineage (Fig. 2). We also included sequences from several
other North American pitvipers to calibrate the tree (Appen-
dix S2). Best-fit models of evolution were estimated from the
new dataset using MrModeltest. We implemented an
uncorrelated lognormal clock and node constraints obtained
from the fossil and geological record with lognormal distri-
butions to estimate divergence dates throughout the tree.
Analyses were run for 40 million generations, with samples
retained every 1000 generations, and with a Yule tree prior.
Results were displayed in Tracer to confirm acceptable
mixing and likelihood stationarity of the Markov chain Monte
Carlo (MCMC) analyses, appropriate burn-in, and adequate
effective sample sizes (>200 for each estimated parameter).
Analyses on a partitioned-by-gene dataset resulted in effective
sample sizes below 50 for several parameters. Therefore, the
final analyses were run on an unpartitioned dataset. After
discarding the first 4 million generations (10%) as burn-in, we
summarized parameter values of the samples from the
posterior on the maximum clade credibility tree using
TreeAnnotator 1.4.8 (Drummond & Rambaut, 2007) with
the posterior probability limit set to 0.5 and mean node
heights summarized.
Two fossil calibrations for the tree were obtained for North
American pitvipers: (1) the oldest fossil from the genus
Sistrurus from the Late Miocene (Clarendonian; Parmley &
Holman, 2007), and (2) the earliest record of A. contortrix in
the Late Miocene (Late Hemphillian; Holman, 2000). Addi-
tionally, we used the estimated age of divergence between
R. W. Bryson Jr et al.
700 Journal of Biogeography 38, 697–710ª 2010 Blackwell Publishing Ltd
Page 5
0.05
sub.
/si
te
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Phylogeography of the Crotalus triseriatus group
Journal of Biogeography 38, 697–710 701ª 2010 Blackwell Publishing Ltd
Page 6
C. ruber and C. atrox (Castoe et al., 2009) due to the Pliocene
marine incursion of the Sea of Cortes (Carreno & Helenes,
2002; and references therein). The stem of Sistrurus (Guiher &
Burbrink, 2008; Wuster et al., 2008) was constrained with a
zero offset (hard upper bound) of 8 million years ago (Ma), a
lognormal mean of 0.01, and a lognormal standard deviation
of 0.76. This produced a median age centred at 9 Ma and a
95% prior credible interval (PCI) extending to the beginning
of the Clarendonian at 11.5 Ma (Holman, 2000). The node
representing the most recent common ancestor (MRCA) of
A. contortrix was given a zero offset of 6 Ma, a lognormal mean
of 0.01, and a lognormal standard deviation of 0.42, producing
a median age of 7 Ma and a 95% PCI extending to the start of
the Late Hemphillian at 8 Ma (Holman, 2000). These lognor-
mal distributions with hard lower bounds best reflect the
prediction, based on the high likelihood of fossil non-
preservation, that any true divergence date will probably be
older than the oldest known fossil, rather than younger (Ho &
Phillips, 2009; Kelly et al., 2009). The node representing the
MRCA of the C. ruber-atrox clade was given a lognormal mean
of 1.1 and a lognormal standard deviation of 0.37, resulting in
a median age centred at the climax of the formation of the Sea
of Cortes and development of the Bouse embayment at 3 Ma,
and a 95% PCI extending to the beginning of the development
of the Sea of Cortes at 5.5 Ma (Carreno & Helenes, 2002, and
references therein). No zero offset was used.
Temporal patterns of diversification
We analysed temporal shifts in diversification rates using ML-
based diversification-rate analysis (Rabosky, 2006a). The fit of
different birth–death models implementing two constant rates
(pure-birth, and birth–death) and three variable rates (expo-
nential and logistic density-dependent, and two-rate pure-
birth) was computed with laser 2.3 (Rabosky, 2006b). Model
fit was measured using AIC scores. Significance of the change
in AIC scores (DAICrc) between the best rate-constant and
best rate-variable model was determined by creating a null
distribution for DAICrc. This was done by simulating 1000
trees using yuleSim in laser with the same number of nodes
and the same speciation rate as that estimated under the pure-
birth model. We additionally generated a lineage-through-time
(LTT) plot using the plotLtt function in laser to visualise the
pattern of accumulation of log-lineages over time.
Because underestimates of genetic diversity potentially bias
inferred rates of diversification (Esselstyn et al., 2009), we used
two sets of dates estimated in beast for diversification-rate
analyses. The first set consisted of estimated divergence dates
between the major phylogroups (Fig. 2), which we considered
to be a conservative approach. The second set included
estimated diversification dates between an additional 12
geographically cohesive monophyletic subgroups clustered
within several of the major phylogroups, and this was a more
liberal approach. These smaller subgroups represented the
finest division of phylogeographical diversity that could be
reasonably inferred from our study.
RESULTS
Sequence characteristics and phylogenetic estimate
The final dataset used for phylogenetic inference consisted of
2408 aligned nucleotide positions. Models of sequence evolu-
tion selected for the mtDNA partitions were GTR+I+G
(ATPase 8, ATPase 6, ND4, 12S) and HKY+I+G (tRNAs and
16S). All sequences were deposited in GenBank (Appendix S2).
We identified eight major maternal lineages within the
C. triseriatus group (Figs 2 & 3), five of which corresponded to
the species C. ravus, C. pusillus, C. triseriatus, C. aquilus and
C. lepidus (Campbell & Lamar, 1989, 2004). Two lineages
represented the subspecies C. t. armstrongi and C. l. morulus.
One lineage represented an undescribed taxon. Strong phylo-
geographical structure was present within most of these taxa
(Fig. 2). In C. ravus, the geographical distribution of subclades
was consistent with recognized subspecies (C. r. ravus,
C. r. brunneus and C. r. exiguus). Relationships among lineages
were generally congruent with those of previous molecular
studies (Fig. 3; Murphy et al., 2002; Castoe & Parkinson,
ravus
pusillus
lepidus
aquilus
triseriatus (LG) *
triseriatus
other Crotalus
ravus
pusillus
lepidus
aquilus
triseriatus (LG) *
triseriatus
ravus
pusillus
lepidus
aquilus
morulus
triseriatus
armstrongi
Crotalus sp.
(a) Murphy et al., 2002 (b) Castoe & Parkinson, 2006 (c) This study
Figure 3 Comparison of phylogenetic relationships for the Crotalus triseriatus species group based on previous molecular studies (a, b) and
this study (c). Differences are in part due to new lineages inferred from our expanded taxonomic and geographical sampling (dotted lines),
and the use, in previous studies, of a mislabelled sample of C. triseriatus (labelled with an asterisk).
R. W. Bryson Jr et al.
702 Journal of Biogeography 38, 697–710ª 2010 Blackwell Publishing Ltd
Page 7
2006). Differences were largely attributable to our expanded
taxonomic and geographic sampling, and the prior use of a
misidentified sample (see below).
Divergence times and tempo of diversification
The GTR+I+G model of sequence evolution was selected for
the beast analyses. Dating estimates suggested that diversifi-
cation in the C. triseriatus group probably began in the Late
Miocene, and divergences between most major lineages
occurred in the Late Miocene and Pliocene (Fig. 4). Phylo-
geographical structure within these lineages appeared to have
been generated primarily during the Pleistocene.
The LTT plots suggested either a constant rate of diversifi-
cation or a decline in the Pleistocene (Fig. 5), depending on the
scale of phylogeographical diversity recognized by each dataset.
The birth–death likelihood analyses chose the pureBirth and
yule2rate models as the best rate-constant and best rate-variable
models for both the ‘conserved’ and the ‘liberal’ datasets.
However, P-values for the change in AIC scores between the
two models differed between datasets. For the conserved
dataset, the null hypothesis of rate-constancy was rejected
(P = 0.04), suggesting the rate-variable yule2rate model pro-
vided a better fit. According to the scenario suggested by this
model, the C. triseriatus group had an initial net diversification
rate of 0.53 events per million years. A change in net
diversification rate took place 1.02 Ma, when the rate shifted
dramatically to 0.09 diversification events per million years. In
contrast, the null hypothesis of rate-constancy was not rejected
(P = 0.1) for the liberal dataset. The ML estimate of the
diversification rate under the best rate-constant pureBirth
model was 0.45 diversification events per million years. Thus, a
strong signal of diversification rate change was not indicated
after accounting for fine-scaled phylogeographical diversity.
I
II
III
I
II
I
II
III
III
IV
I
II
ravus
armstrongi
Crotalus sp.
pusillus
triseriatus
morulus
aquilus
Ct259 armstrongi MICH
Ct2,16 aquilus AGS
Ct137,138 armstrongi COL
S. miliarius
Ct152 brunneus OAX
Ct144,147 pusillus MICH
Ct242 triseratus VER
S. catenatus
Ct261 aquilus MEX
Ct26 morulus NL
Ct153 ravus MEX
Ct268 Crotalus sp. MEX
C. atrox
Ct262 triseriatus MICH
Ct164 aquilus QTO
Ct155 triseriatus PUE
Ct135 armstrongi JAL
Ct168 brunneus OAX
Ct30 aquilus SLP
Ct145 pusillus MICH
Ct11 morulus NL
Ct150 exiguus GRO
Ct9 morulus TAM
A. contortrix
Ct233 armstrongi JALCt254 armstrongi MICH
Ct264 Crotalus sp. MICH
Ct3 aquilus QTO
Ct193 armstrongi JAL
Ct245 triseratius PUE
A. piscivorous
Ct15 aquilus HIDCt122 aquilus HID
Gloydius
Ct17 pusillus MICH
Ct149 exiguus GRO
Ct216 morulus TAM
C. ruber
Ct208 pusillus JAL
Ct204 ravus PUEI
II
III
PleistocenePlioceneMiocene
15 10 5 0
II
IV
VI
V lepidus
Ct226 klauberi SON
Ct32 klauberi DUR
Ct161 klauberi DUR
Ct140,141 lepidus COAH
Ct46 klauberi NMCt29 klauberi CHIH
Ct59 lepidus NM
Ct118 klauberi ZACCt195 klauberi JAL
Ct12,13 maculosus DUR
Ct55 klauberi AZ
III
6.3
5.4
4.9
4.1
3.4
3.3
2.1
Ct283 maculosus NAY I
Figure 4 Chronogram with estimated divergence times for major lineages and phylogroups within the Crotalus triseriatus species
group inferred using Bayesian relaxed clock phylogenetic analyses. Arrows denote the placement of fossil calibrations detailed in the
text. Values at nodes represent mean divergence dates between major lineages, with bars indicating 95% highest posterior densities.
Maximum likelihood-based diversification-rate analyses utilized estimated divergences between lineages and major phylogroups (nodes
indicated with black dots) or lineages and all possible phylogroups (black plus white dots).
Phylogeography of the Crotalus triseriatus group
Journal of Biogeography 38, 697–710 703ª 2010 Blackwell Publishing Ltd
Page 8
DISCUSSION
Evolutionary drivers of diversity within the
C. triseriatus group
Our analyses indicated that a progressive diversification of the
C. triseriatus group occurred over the last six million years.
Both Neogene vicariance and Quaternary climate change had
comparably strong effects on driving diversification rates. Early
divergences were temporally and geographically congruent
with the formation of the Transvolcanic Belt, suggesting that
the development of this mountain range played a critical role
in early diversification of this widespread highland group. Five
of the eight major lineages (C. ravus, C. t. triseriatus,
C. t. armstrongi, C. pusillus and Crotalus sp.) were distributed
on or near the Transvolcanic Belt, and estimated divergence
dates between these lineages fell within the orogenic timeframe
for the area (Ferrusquıa-Villafranca, 1993; Becerra, 2005). The
remaining, more northerly three lineages occupied the Central
Mexican Plateau and southern Sierra Madre Oriental
(C. aquilus), northern Sierra Madre Oriental (C. l. morulus),
and Sierra Madre Occidental (western C. lepidus). Uplift of the
Central Mexican Plateau coupled with the subsequent aridi-
fication and final Pliocene development of the Chihuahuan
Desert (Jaeger et al., 2005, and references therein) may have
separated C. aquilus and C. l. morulus to the east from western
populations of C. lepidus. The divergence of C. aquilus from
C. l. morulus along the Sierra Madre Oriental may have been
facilitated by the development of any one of several hypoth-
esized filter barriers, such as the Rio Panuco basin (Anducho-
Reyes et al., 2008) and Cerritos-Arista and Saladan Filter
Barriers (Morafka, 1977; Bryson et al., 2007) (Fig. 6).
Our results revealed strong geographical partitioning of
genetic diversity within nearly all lineages. Most of this
structure appeared to have developed during the Quaternary.
Thus, glacial climatic cycles probably contributed to the
fragmentation of Mexican pine–oak forests and may have
driven divergences. This inference was broadly congruent with
diversification patterns seen in several Middle American
highland pitvipers (Castoe et al., 2009) and other montane
taxa (pines: Moreno-Letelier & Pinero, 2009; Rodrıguez-
Banderas et al., 2009; insects: Masta, 2000; Smith & Farrell,
2005; Anducho-Reyes et al., 2008; small mammals: Sullivan
et al., 1997; Edwards & Bradley, 2002; Leon-Paniagua et al.,
2007; lizards: Zaldivar-Riveron et al., 2005; Tennessen &
Zamudio, 2008; birds: Garcıa-Moreno et al., 2004; McCor-
mack et al., 2008b; Puebla-Olivares et al., 2008).
Observed phylogeographical patterns in the C. triseriatus
group, however, might not reflect isolated gene flow. Male
rattlesnakes can disperse relatively long distances between
populations during the breeding season (e.g. King & Duvall,
1990; Clark et al., 2008), and male-biased dispersal cannot be
accounted for in a mtDNA gene tree, unless the dispersed male
is sampled. Paternally mediated gene flow may occur between
seemingly isolated populations. Whereas some phylogroups
appear to be separated by well defined, low elevation breaks
(Fig. 6, Table 1), others may be marginally separated by mid-
elevation swathes of oak-, mesquite-, or desert-grassland.
0 1 2 3 4 5 6
1.0
1.5
2.0
2.5
3.0
3.5
Log-Lineages Through Time
Time From Basal Divergence(million years ago)
Log
Line
ages
0 1 2 3 4 5 6
1.0
1.5
2.0
2.5
3.0
3.5
st = 1.02
r1 = 0.53
r2 = 0.09
r1 = 0.45
(a) (b)
Figure 5 Lineage through time plots derived from Bayesian relaxed clock estimates of divergence dates within the Crotalus triseriatus
species group. (a) Diversification rates for inferred lineages and major phylogroups suggest a diversification rate shift 1.02 million years ago.
(b) Diversification rates for inferred lineages and all possible phylogroups suggest a constant diversification rate through time. st = time of
diversification rate shift from yule2rate model estimates. r = diversification rate.
R. W. Bryson Jr et al.
704 Journal of Biogeography 38, 697–710ª 2010 Blackwell Publishing Ltd
Page 9
Boundaries within some northern phylogroups (e.g. western
C. lepidus, C. l. morulus) are not obvious. Future testing with
nuclear gene markers is needed to elucidate patterns of gene
flow.
Phylogeographical diversity in the Mexican highlands
Despite an overall paucity of phylogeographical studies of
Mexican highland taxa, emerging patterns suggest mixed
(a) (b)
Figure 6 Map of Mexico depicting pine–oak forests above 1800 m elevation. (a) Generalized areas of major mountain ranges in Mexico:
SMOcc, Sierra Madre Occidental; SMOr, Sierra Madre Oriental; TVB, Transvolcanic Belt; SMdS, Sierra Madre del Sur. The Central Mexican
Plateau (CMP) is also shown. (b) Biogeographical barriers to highland Mexican taxa (see Table 2): (1) Balsas Basin (including the
Tepalcatepec Depression), (2) Rio Verde basin, (3) Rio Papaloapan basin, (4) Oriental Basin, (5) Lerma-Santiago Basin, (6) Rio Mezquital
basin, (7) Cerritos-Arista and Saladan Filter Barriers, (8) Rio Panuco basin, (9) Rio Ahuijullo basin, (10) Colima and Tepic-Zocoalco
Grabens (rattlesnakes in this study), (11) Aguascalientes Graben [Mexican jays (Aphelocoma ultramarina), McCormack et al., 2008a] and
(12) unnamed barrier [spiny mice (Habromys), Leon-Paniagua et al., 2007]. Numbered lines span approximate locations of barriers, and
their thickness corresponds to the number of taxa exhibiting genetic break (thick = two or more taxa; thin = one taxon).
Table 1 Potential isolating barriers between major phylogroups within the Crotalus triseriatus species group inferred in this study.
Phylogroups follow those in Fig. 2. Geographical barriers are shown in Fig. 6.
Phylogroup division Potential isolating barriers
C. ravus I/II+III Balsas Basin, Rio Verde basin
C. ravus II/III Balsas Basin, Rio Papaloapan basin (Campbell & Armstrong, 1979)
C. t. armstrongi I/II+III Unknown (potentially mid-elevations <1800 m extending south-southeast of Ameca, Jalisco to Jalisco/Colima
border)
C. t. armstrongi II/III Colima and Tepic-Zocoalco Grabens
C. pusillus I/II Rio Ahuijullo basin, Tepalcatepec Depression (Campbell & Lamar, 2004) of the Balsas Basin
C. t. triseriatus I/II Oriental Basin
C. l. morulus I/II Unknown
C. aquilus I/II+III+IV Unknown (potentially mid-elevations <1800 m surrounding the isolated ‘sky island’ in north-eastern Queretaro
and adjacent San Luis Potosı)
C. aquilus II/III+IV Unknown
C. aquilus III/IV Rio Panuco basin
C. lepidus I/II Tributaries of the Rio Santiago basin
C. lepidus I+II/III+IV+V+VI Rio Mezquital basin
C. lepidus III+IV+V/VI Unknown
C. lepidus III/IV+V Unknown (potentially high elevation >2700 m ridges along crest of the Sierra Madre Occidental)
C. lepidus IV/V Unknown
Phylogeography of the Crotalus triseriatus group
Journal of Biogeography 38, 697–710 705ª 2010 Blackwell Publishing Ltd
Page 10
responses to past geological and climatic events despite a
presumed shared history in the same region (Sullivan et al.,
2000; Paniagua & Morrone, 2009). The ancient development of
most of the major mountains in Mexico probably pre-dates
diversification of the extant highland species. However, the
Neogene formation of the Transvolcanic Belt is undoubtedly a
major force driving the evolutionary history of these taxa. In
the C. triseriatus group, initial diversification appears to be
tightly linked to the uplifting of the Transvolcanic Belt, and
several phylogroups are embedded within this mountain range.
Deep divergences and high phylogeographical diversity in
other co-distributed highland taxa (small mammals: Sullivan
et al., 1997; Demastes et al., 2002; Edwards & Bradley, 2002;
Leon-Paniagua et al., 2007; birds: McCormack et al., 2008a;
Navarro-Siguenza et al., 2008) are also broadly attributable to
the formation of the Transvolcanic Belt.
In concert, Quaternary glacial–interglacial climatic cycles
and the complex topography of Mexico had the potential to
produce a myriad of intraspecific phylogeographical patterns
in highland taxa. Some pine–oak expansions probably resulted
in ephemerally contiguous highland biotas in the Mexican
sierras (Toledo, 1982; Van Devender, 1990). However, some
geographical barriers, such as major river drainages, may have
served as filter barriers, as evidenced by shared genetic breaks
in co-distributed taxa (Fig. 6, Table 2). In southern Mexico,
the Sierra Madre del Sur is isolated from the Transvolcanic Belt
to the north by the Rio Balsas and its associated tributaries
(e.g. Rio Tepalcatepec, Rio Atoyac) that form the Balsas Basin.
The Rio Ahuijullo isolates these areas to the west. Further, the
Sierra Madre del Sur is separated from the Transvolcanic Belt
and Sierra Madre Oriental by the Rio Papaloapan basin across
northern Oaxaca. The Rio Verde additionally divides the Sierra
Madre del Sur in western Oaxaca. To the north, the Rio
Panuco bisects the Sierra Madre Oriental, and the xeric
interior of the Oriental Basin in Puebla and Veracruz separates
the highlands of the Sierra Madre Oriental from those of the
Transvolcanic Belt. Further west, the Rios Lerma and Rio
Santiago flank the southern Sierra Madre Occidental and
northern Transvolcanic Belt and separate these two highlands.
Further north, the Rio Mezquital bisects the Sierra Madre
Occidental. Historical filter barriers across the Central Mexican
Plateau may also include large interconnected palaeo-lakes
(Mejıa-Madrid et al., 2007, and references therein). These
largely overlooked barriers are probably responsible for
disrupting Pleistocene pine–oak forest corridors (Demastes
et al., 2002) and could, in part, further explain inferred
historical disjunctions between highland taxa distributed
across the Central Mexican Plateau, such as between phylo-
groups of C. aquilus.
Matrilineal genealogy of the C. triseriatus group
Utilizing expanded taxonomic and geographical sampling and
phylogenetic mixed-model analyses of mtDNA, we inferred
several novel historical relationships for the C. triseriatus
group. The topology strongly supported the placement of
C. ravus in the C. triseriatus group despite over 100 years of
inclusion in the genus Sistrurus and a recent transfer into
Crotalus as the sister species to all other Crotalus (Murphy
et al., 2002). Plesiomorphic morphological attributes shared
with Sistrurus have seemingly confounded the phylogenetic
placement of C. ravus (McCranie, 1988; Murphy et al. (2002).
Table 2 Biographical barriers shared by co-distributed Mexican highland taxa. Numbers correspond to barriers shown in Fig. 6. Asterisks
denote barriers inferred from the phylogeny or delineated on maps, and not directly stated in the original study. The Tepalcatepec
Depression was included as a western branch of the Balsas Basin.
Biogeographical barrier Taxon
(1) Balsas Basin Montane rattlesnakes (Crotalus triseriatus species group)1, deer mice (Peromyscus aztecus species group)2,
bark beetle (Dendroctonus mexicanus)3, Neotropical brush-finches (Buarremon)*4, Mexican woodrats
(Neotoma mexicana species group)*5
(2) Rio Verde basin Montane rattlesnakes (Crotalus triseriatus species group)1, Neotropical brush-finches (Buarremon)*4, Mexican
woodrats (Neotoma mexicana species group)*5, emerald toucanet (Aulacorhynchus prasinus species group)6,
common bush-tanager (Chlorospingus ophthalmicus)*7
(3) Rio Papaloapan basin Montane rattlesnakes (Crotalus triseriatus species group)1, deer mice (Peromyscus aztecus species group)*2,
emerald toucanet (Aulacorhynchus prasinus species group)*6, common bush-tanager (Chlorospingus
ophthalmicus)*7, spiny mice (Habromys)*8
(4) Oriental Basin Montane rattlesnakes (Crotalus triseriatus species group)1, deer mice (Peromyscus aztecus species group)*2,
bark beetle (Dendroctonus mexicanus)3
(5) Lerma-Santiago Basin Bark beetle (Dendroctonus mexicanus)3, southwestern white pine (Pinus strobiformis)9, Mexican jays
(Aphelocoma ultramarina)10
(6) Rio Mezquital basin Montane rattlesnakes (Crotalus triseriatus group)1, bark beetle (Dendroctonus mexicanus)3
(7) Cerritos-Arista and Saladan
Filter Barriers
Montane rattlesnakes (Crotalus triseriatus group)1, Mexican jays (Aphelocoma ultramarina)*10, Mexican
kingsnakes (Lampropeltis mexicana species group)11
(8) Rio Panuco basin Montane rattlesnakes (Crotalus triseriatus group)1, bark beetle (Dendroctonus mexicanus)3
(9) Rio Ahuijullo basin Montane rattlesnakes (Crotalus triseriatus species group)1, Neotropical brush-finches (Buarremon)*4
1This study; 2Sullivan et al., 1997; 3Anducho-Reyes et al., 2008; 4Navarro-Siguenza et al., 2008; 5Edwards & Bradley, 2002; 6Puebla-Olivares et al.,
2008; 7Garcıa-Moreno et al., 2004; 8Leon-Paniagua et al., 2007; 9Moreno-Letelier & Pinero, 2009; 10McCormack et al., 2008a; 11Bryson et al., 2007.
R. W. Bryson Jr et al.
706 Journal of Biogeography 38, 697–710ª 2010 Blackwell Publishing Ltd
Page 11
We inferred a novel placement for C. t. armstrongi near the
base of the tree and distant from C. t. triseriatus. It formed the
sister clade to all other species of the C. triseriatus group except
for C. ravus. This finding contradicted previous suggestions
based on morphological evidence of a close relationship
between C. t. armstrongi and C. t. triseriatus (Campbell, 1979;
Dorcas, 1992).
Strong support was obtained for a sister relationship
between C. aquilus and C. l. morulus, and this clade was sister
to all other C. lepidus. The phylogenetic affinities of C. aquilus
to other C. triseriatus group taxa have been contentious (see
Gutberlet & Harvey, 2004). Crotalus aquilus has oscillated
between being considered as a subspecies of C. triseriatus (as
originally described) and a distinct species closely related to
C. lepidus. Recent molecular studies (Murphy et al., 2002;
Castoe & Parkinson, 2006) proposed a sister relationship
between C. aquilus and C. triseriatus. However, this association
was based on a misidentified sample, labelled as ‘C. triseriatus
LG’ (ROM 18114; GenBank numbers AF259231, AF259087,
AF259124, AF259161, AF259199), which we determined to be
C. aquilus. Our finding of a C. aquilus–C. l. morulus sister
relationship suggested that C. l. morulus may be more closely
related to C. aquilus than to other lineages of C. lepidus, in
contrast to strong morphological support for a monophyletic
C. lepidus (Dorcas, 1992). Other subspecies of C. lepidus in the
west (C. l. lepidus, C. l. klauberi and C. l. maculosus) together
formed a monophyletic group, but divergences within this
group appeared to be relatively recent (Fig. 4). Only the
monophyly of C. l. lepidus was supported.
Several studies suggest that multiple, geographically isolated
species may be represented under the name C. triseriatus
(Armstrong & Murphy, 1979; Murphy et al., 2002; Gutberlet &
Harvey, 2004). Samples of Crotalus obtained along the central
portion of the Transvolcanic Belt (Figs 1 & 2) provide clear
support for this prediction. Although historically considered to
be C. t. triseriatus (Campbell & Lamar, 2004), these genetically
distinctsnakesarelikelytorepresentanundescribedcrypticspecies.
While phylogenetic inferences based on one marker (e.g.
mtDNA) should be interpreted with caution, maternally inher-
ited data can lead to significant biogeographical discoveries (e.g.
Upton & Murphy, 1997; Riddle et al., 2000; Murphy & Aguirre-
Leon, 2002). An mtDNA-only approach has several limitations
(Funk & Omland, 2003; Ballard & Whitlock, 2004) yet it is much
more likely to detect geographical limits and cryptic species than
studies based on nuclear DNA gene sequences (Moore, 1995;
Hudson & Coyne, 2002; Zink & Barrowclough, 2008; Bar-
rowclough & Zink, 2009). Our genealogical inferences serve as a
robust hypothesis of matrilineal relationships within the
C. triseriatus species group. Future studies using unlinked
nuclear loci can test whether or not the genealogy also reflects
the macroevolutionary species phylogeny.
ACKNOWLEDGEMENTS
We dedicate this study to the late Fernando Mendoza-Quijano.
Without his enthusiasm and unfailing support through the
years, this study would not have been possible. We thank the
following people, curators and institutions for providing or
assisting with tissue samples: D.R. Frost (American Museum of
Natural History), R.D. MacCulloch (Royal Ontario Museum),
O. Flores-Villela and A. Nieto-Montes (Universidad Nacional
Autonoma de Mexico), J.A. Campbell, C. Franklin and E.N.
Smith (University of Texas at Arlington), J. Alvarado-Dıaz and
A. Quijada-Mascarenas (Universidad Michoacana de San
Nicolas de Hidalgo, Michoacan), A. Kardon (San Antonio
Zoo), P. Ponce-Campos, U.O. Garcıa-Vazquez, J. Lemos-
Espinal, L. Canseco-Marquez, G. Swinford, E. Mocino-Deloya,
K. Setser and G. Quintero-Dıaz. We thank the numerous
people who assisted in the field, including S.P. Mackessy,
M. Torocco, F.R. Mendoza-Paz, B.T. Smith, J. Banda-Leal,
G. Ulises de la Rosa-Lozano, R. Romero, D. Hartman, R.
Queen, K. Peterson, M. Price, C. Harrison, E. Garcıa-Padilla
and E. Beltran-Sanchez. B.T. Smith and A. Egan assisted with
use of laser and R. We further thank M.R. Graham, J. Jones,
C. Gruenwald, J.A. Mueller, J.R. Dixon, A. Narvaez and
J.A. Campbell for other assistance that greatly improved this
project. Two anonymous referees and S. Proches provided
comments that greatly improved the final version of this
manuscript. Collecting was conducted under permits granted
by SEMARNAT to R.W.B., R.W.M., D.L.V., D.J. Morafka and
F. Mendoza-Quijano. All sequencing work was conducted in
the laboratory of R.W.M., and funded by the Natural Sciences
and Engineering Research Council of Canada Discovery Grant
A3148.
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SUPPORTING INFORMATION
Additional Supporting Information may be found in the
online version of this article:
Appendix S1 Collection and voucher data for genetic
samples used in this study and deposited in the Royal Ontario
Museum (ROM).
Appendix S2 GenBank accession numbers for genetic
samples used in this study.
As a service to our authors and readers, this journal provides
supporting information supplied by the authors. Such mate-
rials 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.
BIOSKETCHES
Robert W. Bryson Jr and Robert W. Murphy began this
collaborative research while R.W.B. was a Master’s student at
Sul Ross State University, building on their shared interests in
rattlesnake systematics and biogeography of Mexico. All
authors are broadly interested in better understanding the
biodiversity of Mexico through evolutionary (R.W.B., R.W.M.,
A.L.) and ecological (D.L.V.) studies.
Author contributions: R.W.B. and R.W.M. conceived the
ideas; R.W.B., D.L.V. and A.L. collected the data; R.W.B.,
R.W.M. and A.L. analysed the data; and R.W.B. and R.W.M.
led the writing.
Editor: Serban Proches
R. W. Bryson Jr et al.
710 Journal of Biogeography 38, 697–710ª 2010 Blackwell Publishing Ltd