Phylogeny of Chaetanthera (Asteraceae: Mutisieae) reveals both ancient
and recent origins of the high elevation lineages
Mark A. Hershkovitz a,¤, Mary T.K. Arroyo a,b, Charles Bell c, L. Felipe Hinojosa a,b
a
Departamento de Ciencias Ecológicas, Facultad de Ciencias, Universidad de Chile, Casilla 653, Santiago, Chile
Instituto de Ecología y Biodiversidad (IEB), Facultad de Ciencias, Universidad de Chile, Casilla 653, Santiago, Chile
c
School of Computational Science, 150-R Dirac Science Library, Florida State University, Tallahassee, FL 32306-4120, USA
b
Abstract
Penalized likelihood analysis of previously published chloroplast DNA (cpDNA) ndhF sequences suggests that the central-southern
Andean genus Chaetanthera diverged ca. 16.5 million years (my) ago, well before the uplift of the Andes to their present heights. Penalized
likelihood analysis based on new nuclear ribosomal DNA (rDNA) internal transcribed spacer (ITS) sequences indicates that the most
relictual lineages occupy high elevation Andean habitats that did not exist until some 10 my later. This result is contrary to the expectation that younger habitats should be occupied by phylogenetically younger lineages. The results are interpreted with respect to the development of aridity in lowland habitats during the Miocene and Pliocene, which presumably extinguished the lowland relatives of the high
elevation taxa or, in eVect, forced them upwards in search of adequate moisture. As the more northerly lineages were being displaced
upward, others diversiWed in the mediterranean-type climate area of central Chile, giving rise to additional high elevation taxa again, at an
early date, as well as lowland taxa. Some species of Chaetanthera from lowland central Chile appear as the phylogenetically youngest
taxa, suggesting secondary adaptation to lowland aridity. At the same time, at least two high elevation species, Chaetanthera peruviana
and Chaetanthera perpusilla, appear to have been derived recently from a lower elevation ancestor, while some middle to low elevation
taxa seem to have evolved recently out of a high elevation complex. The results suggest that the younger high elevation habitats have
served as both “cradle” and “museum” for Chaetanthera lineages.
Keywords: Chaetanthera; nrITS; Calibration age; Molecular clock
1. Introduction
The central and southern Andes comprise a continuous
high mountain range spanning from central Peru and
Bolivia south through Argentina and Chile to Tierra del
Fuego. This region harbors a diverse high elevation Xora of
perhaps 3700 species (Arroyo, unpublished data) containing elements that are characteristic of, if not endemic to,
South America, e.g. Calceolaria (Calceolariaceae; Erhart,
2000), Tropaeolum sect. Chilensia (Tropaeolaceae; Hershkovitz et al., 2006), Alstroemeria (Alstroemeriaceae;
Muñoz Schick and Moriera Muñoz, 2003), and many gen*
Corresponding author. Fax: +56 2 271 2983.
E-mail address: mhershko@uchile.cl (M.A. Hershkovitz).
era of Asteraceae tribe Mutisieae (Bremer, 1994). The high
elevation Xora of the western slope of the Andes in Chile
alone comprises an estimated 1700 species (Arroyo et al.,
2004). For the present purposes, high elevation refers to the
equivalent of above-treeline or alpine vegetation, a term
that is diYcult to apply in central and northern southern
Andes because of lack of a well-deWned treeline at the driest
latitudes. In the northern part of the central Andes high elevation vegetation occurs between 3000 and 5000 m,
descending to around 1800 and 3000 m heights at mediterranean latitudes in central Chile. Characterization as midelevation refers to plants below treeline or its equivalent
along the slopes of the Andes, while lowland refers to
coastal or low valleys below about 300–700 m elevation
depending on latitude.
M.A. Hershkovitz et al.
Various lines of geological evidence indicate that uplifting of the central and southern Andes to their current elevations occurred between the Pliocene and Pleistocene
(Arroyo et al., 1988; Farías et al., 2005; Gregory-Wodzicki,
2000; Giambiagi, 2003; Hartley, 2003; Irigoyen et al., 2000;
Hinojosa and Villagrán, 1997; Simpson, 1983). Collectively,
the data indicate that this region achieved far less to no
more than one half of its current height by the end of the
Miocene (Giambiagi, 2003; Gregory-Wodzicki, 2000).
Assuming a correlation between the age of a habitat and
the age of its biota, the geological data implicate a correspondingly recent origin of the central and southern high
Andean Xora. In terms of phylogenetic trees, the expectation is that the stems of high elevation lineages should be
relatively shorter than and nested among those of lower elevation lineages. Indeed, upward migration of lowland elements (Arroyo et al., 1983), along with recent long distance
dispersal of high elevation plants established elsewhere (e.g.
Soltis et al., 2001), have been proposed as important
sources of the high Andean Xora.
Among the taxa endemic to southern South America and
well represented in both higher and lower elevations is Chaetanthera Ruiz & Pav. (Asteraceae: Mutisieae). As currently
conceived, Chaetanthera comprises 44 species in seven subgenera (Cabrera, 1937). Subgenus Egania (perennial herbs) is
restricted to high elevation habitats ranging from central
Chile and Argentina to Peru and Bolivia. Subgenus Oriastrum (annuals to short-lived perennials) comprises high and
high to mid-elevation species of central Chile and adjacent
Argentina. Subgenus Carmelita (perennial herbs) comprise
mostly high elevation species of central Chile and Argentina
with occasional populations of some species occurring at
mid-elevations. Subgenus Glandulosa (one subshrub) occurs
in central Chile at mid-elevation to treeline. Subgenera Tylloma (mostly annual) and Euchaetanthera (all annuals) may
be found from sea level to high elevations in central Chile, in
the Andes in adjacent Argentina, and less frequently in
northern Chile, Peru, Bolivia, and southern Argentina. Subgenus Proselia (perennials) is mostly concentrated in low to
mid-elevation habitats, including in Araucaria forest clearings in south-central Chile, just getting into Argentina. Here,
as part of a more comprehensive study into the evolution of
Chaetanthera, we undertake phylogenetic reconstruction and
estimation of divergence dates in order to provide insights
into the evolution of the autochthonous central-southern
Andean Xora in relation to the Andean uplift. We Wrst calibrate the age of Chaetanthera by comparison to other Asteridae for which divergence dates have been estimated. We then
develop an ITS phylogeny for Chaetanthera and use the preceding calibration to estimate the divergence dates of the
individual subgenera and relate these to the ecological history of the central–southern Andes.
2. Materials and methods
Specimens of all but a few taxa of Chaetanthera were
collected and portions preserved in silica gel for DNA
analysis. Specimens were identiWed according to Cabrera
(1937) and more recent publications on particular taxa. In
addition, most identiWcations were veriWed by A. Davies
(Munich, Germany), who is undertaking a revision of the
genus in collaboration with the second author.
In order to estimate the divergence date of Chaetanthera
(see below), chloroplast DNA (cpDNA) ndhF sequences
from Asteridae and Asteraceae listed in Kim et al. (2005)
and partial ndhF sequences (3⬘ end, ca. 1000 bp) listed in
Kim et al. (2002) were obtained from GenBank and aligned
manually. In addition, the sequence of Cornus Xorida (GenBank Accession No. AF130220) was obtained. The alignment was trimmed to include only the 3⬘ end used in the
Kim et al. (2002) analysis. Cornus was selected as a calibration point based on an approximate fossil dating, as in
Bremer et al. (2004).
Nuclear ribosomal DNA (rDNA) internal transcribed
spacer (ITS) region sequences were obtained from 82 samples
of Chaetanthera following the extraction, ampliWcation, and
sequencing protocols described in Hershkovitz (2006). Eliminating 19 of the taxonomically duplicated samples, the present
analysis is based on 63 samples (Table 1). Some samples did
not amplify following the extraction protocol and were further puriWed using Chelex 100 resin (BioRad). 10 l of genomic DNA is added to 250 l of 5% aqueous Chelex, mixed,
heated at 100 °C for 15 min, and the supernatant containing
puriWed DNA removed to a new tube. This procedure
removes heavy metal cations that apparently inhibited the
PCR. Other puriWcation methods (PEG precipitation and/or
silica-NaI) were tried, but they did not alleviate this inhibition.
The resulting ITS sequences were aligned manually. The
sequences included 56 apparently polymorphic sites, usually C/T, among the total 43,533 aligned sites. These sites
were scored as ambiguities (“N”) in the phylogenetic analysis. The polymorphisms are mainly restricted to taxonomically diYcult species. Cloning of polymorphic samples is
underway and the taxonomic and evolutionary implications will be considered in a future publication.
Maximum parsimony (MP) and maximum likelihood
(ML) analysis of the ndhF and ITS sequences were undertaken using PAUP 4.0 (SwoVord, 2002) version b10. The
MP analysis of the ITS sequences included alignable gaps
scored as separate characters. The MP analysis and bootstrap (500 replicates) were performed using the default heuristic search procedure. For the bootstrap analysis,
maxtrees was set at 100. For the ML analysis, Modeltest
(Posada and Crandall, 1998) was used to estimate the ML
parameters. Tree rooting was based on Bremer et al. (2004)
for Asteridae and on analysis of cpDNA rpl32-trnL intergenic spacer sequences for representative Chaetanthera species using Mutisia as the outgroup (data not shown).
A likelihood ratio test was used to test for rate constancy
among lineages (Felsenstein, 1981). In all cases, the hypothesis of rate constancy among lineages was rejected. Divergence dates were estimated over the ML topology and
branch lengths using penalized likelihood (PL)
implemented in the r8s program (Sanderson, 2002a,b). This
M.A. Hershkovitz et al.
Table 1
Taxa, vouchers, geographic origins, altitudes, and GenBank Accession numbers of specimens sampled for ITS. Vouchers are deposited in the Herbarium
of the Universidad de Concepción (CONC)
Subgenus species
Carmelita
C. lanata (Phil.) I. M. Johnst.
C. spathulifolia Cabrera
C. villosa D. Don
C. villosa
Egania
C. acerosa (J. Rémy) Benth. & Hook. F. var. acerosa
C. acerosa var. dasycarpa Cabrera
C. acerosa var. indet.
C. apiculata (J. Rémy) F. Meigen
C. aV. boliviensis J. Kost.
C. aV. cochlearifolia (Gray) B. L. Robinson
C. dioica (J. Rémy) B. L. Robinson
C. pentacaenoides (Phil.) Hauman
C. pentacaenoides
C. pulvinata (Phil.) Hauman var. pulvinata
C. pulvinata var. pulvinata
C. revoluta (Phil.) Cabrera
C. sphaeroidalis (Reiche) Hicken
C. aV. sphaeroidalis
C. steubelii Hieron. var. abbreviata Cabrera
C. steubelii var. argentina Cabrera
C. steubelii var. indet.
C. sp. ‘25203’
C. sp. ‘25204’
Euchaetanthera
C. australis Cabrera
C. chiquianensis Ferreyra
C. ciliata Ruiz & Pav.
C. euphrasioides (DC.) F. Meigen
C. euphrasioides
C. Xabellata D. Don
C. incana Poepp. ex Less.
C. leptocephala Cabrera
C. linearis Poepp. ex Less var. albiXora Phil.
C. linearis var. linearis
C. linearis var taltalensis I. M. Johnst.
C. linearis var taltalensis
C. microphylla (Cass.) Hook. & Arn.
C. moenchioides Less.
C. perpusilla (Wedd.) Anderb. & S. E. Freire
C. peruviana Gray
C. tenella Less. var. taltalensis Cabrera
C. tenella var. taltalensis
C. tenella var. tenella
Glandulosa
C. glandulosa J. Rémy
Oriastrum
C. aV. gnaphalioides (J. Rémy) I. M. Johnst.
C. aV. gnaphalioides
C. lycopodioides (J. Rémy) Cabrera
C. minuta (Phil.) Cabrera
C. minuta
C. planiseta Cabrera
C. pusilla (D. Don) Hook. and Arn.
Proselia
C. brachylepis Phil.
C. chilensis (Willd.) DC. var. chilensis
C. chilensis var. tenuifolia (D. Don) Cabrera
C. elegans (Phil.) var. elegans
C. elegans var. pratensis (Phil.) Cabrera in M. N. Correa
C. serrata Ruiz & Pav.
Voucher
Geographic origin
Altitude (m) GenBank Accession
Arroyo et al. 25075
Arroyo et al. 25098
Arroyo et al. 210671
Arroyo et al. 20646
CHILE: IV
ARGENTINA: Mendoza
CHILE: IX
CHILE: RM
2790
3200
1300
2870
DQ355863
DQ355864
DQ355865
DQ355845
Arroyo et al. 25087A
Arroyo et al. 25087B
Arroyo et al. 25077
Arroyo et al. 25244
Arroyo et al. 25200
Arroyo et al. 25111
Arroyo et al. 25102
Arroyo et al. 25099
Arroyo et al. 25168
Arroyo et al. 25083
Arroyo et al. 25100
Arroyo et al. 25126
Arroyo et al. 25082
Arroyo et al. 25104
Arroyo et al. 25110
Arroyo et al. 25109
Arroyo et al. 25201
Arroyo et al. 25203
Arroyo et al. 25204
CHILE: IV
CHILE: IV
CHILE: IV
CHILE: V
BOLIVIA: La Paz
ARGENTINA: Tucumán
ARGENTINA: La Rioja
ARGENTINA: Mendoza
CHILE: RM
CHILE: IV
ARGENTINA: Mendoza
CHILE: II
CHILE: IV
ARGENTINA: La Rioja
ARGENTINA: Tucumán
ARGENTINA: Tucumán
BOLIVIA: Potosi
CHILE: I
CHILE: I
3700
3700
3210
2700
4811
4220
3340
3180
3310
4200
3030
4450
4360
5100
4220
3890
4300
4300
4850
DQ355909
DQ355914
DQ355905
DQ355910
DQ355911
DQ355895
DQ355898
DQ355893
DQ355904
DQ355903
DQ355909
DQ355899
DQ355897
DQ355913
DQ355900
DQ355896
DQ355912
DQ355901
DQ355913
Arroyo et al. 25177
Arroyo 25252
Arroyo et al. 25157
Arroyo et al. 25176
Arroyo et al. 25119
Arroyo et al. 25161
Arroyo et al. 25013
Hershkovitz 02–109
Arroyo et al. 25012
Arroyo et al. 25033
Arroyo et al. 25129
Arroyo et al. 25019
Arroyo et al. 25007
Arroyo et al. 25122
Arroyo et al. 25202
Arroyo 25254
Arroyo et al. 25055
Arroyo et al. 25128
Arroyo et al. 25006
ARGENTINA: Río Negro
PERU: Ancash
CHILE: VIII
CHILE: RM
CHILE: RM
CHILE: RM
CHILE: IV
CHILE: III
CHILE: IV
CHILE: V
CHILE: IV
CHILE: IV
CHILE: RM
CHILE: IX
CHILE: I
PERU: Tacna
CHILE: IV
CHILE: II
CHILE: RM
860
3500
100
3315
2470
2200
960
2152
950
760
ca. 50
1050
960
32
3370
3680
92
175
910
DQ355883
DQ355850
DQ355888
DQ355868
DQ355866
DQ355867
DQ355885
DQ355873
DQ355909
DQ355869
DQ355870
DQ355909
DQ355871
DQ355847
DQ355880
DQ355850
DQ355878
DQ355879
DQ355882
Arroyo et al. 25181
CHILE: RM
2430
DQ355881
Arroyo et al. 25086
Hershkovitz 02–154
Arroyo et al. 25169
Arroyo et al. 25079
Arroyo et al. 25127
Arroyo et al. 25120
Arroyo et al. 25180
CHILE: IV
CHILE: IV
CHILE: RM
CHILE: IV
CHILE: II
CHILE: RM
CHILE: RM
3500
1056
3140
3200
3500
2460
3360
DQ355908
DQ355906
DQ355920
DQ355890
DQ355907
DQ355892
DQ355916
Arroyo 25250
Arroyo 25229
Arroyo et al. 25042
Arroyo et al. 25069
Arroyo and Humaña 26000
Arroyo et al. 25131
CHILE: IX
CHILE: VII
CHILE: VII
CHILE: VIII
CHILE: IX
CHILE: VIII
670
1800
1250
1470
1660
60
DQ355848
DQ355840
DQ355841
DQ355889
DQ355839
DQ355886
M.A. Hershkovitz et al.
Table 1 (continued)
Subgenus species
Voucher
Geographic origin
Altitude (m) GenBank Accession
Tylloma
C. Xabellifolia Cabrera
C. glabrata (DC.) F. Meigen
C. glabrata (DC.) F. Meigen
C. glabrata (DC.) F. Meigen
C. kalinae Davies
C. limbata (D. Don) Less.
C. renifolia (J. Rémy) Cabrera
C. splendens (J. Rémy) B. L. Robinson
C. sp. ‘02–96’
Arroyo et al. 25078
Arroyo et al. 25130
Arroyo et al. 25163
Arroyo et al. 25065
Arroyo et al. 25076
Arroyo et al. 25150
Arroyo et al. 25175
Arroyo et al. 25084
Hershkovitz 02–96
CHILE: IV
CHILE: II
CHILE: RM
CHILE: IV
CHILE: IV
CHILE: III
CHILE: RM
CHILE: IV
CHILE: III
3200
145
2190
110
2740
828
3410
3250
2264
DQ355852
DQ355858
DQ355856
DQ355854
DQ355861
DQ355843
DQ355860
DQ355853
DQ355857
For geographic origin, roman numerals denote regions of Chile. RM refers to the Metropolitan Region.
method has been shown to perform relatively well under
simulation (Sanderson, 2002a; Ho et al., 2005) and has been
widely used to estimate divergence time in plant lineages,
including divergence dates of angiosperms as a whole. (e.g.
Schneider et al., 2004; Bell et al., 2005). The optimal
smoothing level was chosen via the cross validation procedure described by Sanderson (2002a). Divergences were calibrated using a date of 128 my for the crown Asteridae
(Bremer et al., 2004). This, in turn, generated a divergence
date estimate for the crown of the four included Chaetanthera samples. Finally, the estimated divergence date of the
Chaetanthera crown based on the ndhF data was used to
calibrate the divergence dates of the ITS sequences.
3. Results
The MP bootstrap results of the Asteridae ndhF data are
shown in Fig. 1. The consensus is poorly resolved relative to
the Asteraceae phylogeny of Bremer et al. (2004) and with
respect to Asteraceae tribal classiWcation in general (cf.
Bremer, 1994). Consistent with earlier results, the tribe
Barnedesioideae diverges Wrst from Asteraceae. The results
for Chaetanthera are consistent with, but less resolved than
those of Kim et al. (2002), who did not perform a bootstrap
analysis. In particular, Chaetanthera is sister to Duidaea,
although with only modest bootstrap support and keeping
in mind that only 16 of the 76 genera of Mutisieae (Bremer,
1994) were sampled. Duidaea includes four shrubby species
in Venezuela (Bremer, 1994).
The hierarchical likelihood ratio Test (hLRT) procedure in
Modeltest selected the TVM+G model, whereas the Aikake
Information Criterion (AIC) selected the TVM+G+I model
with corresponding compensation in the gamma parameter to
account for the invariant site proportion estimate. A model
more general than that derived from hLRT, the GTR+G
model with estimated base frequencies, was used for ML analysis. Initial parameters were those estimated from a neighborjoining tree. Starting trees for ML analysis were those having
the best ML score (18 trees) among the 3563 MP trees (length,
L D 1704; rescaled consistency index, RC D 0.29; retention
index, RI D 0.53). The Wnal ML topology (Fig. 2) was among
the MP trees. The ultrametric tree derived from PL analysis,
along with approximate divergence dates, are shown in Fig. 5.
The MP bootstrap results of the ITS data for Chaetanthera are shown in Fig. 3. The data strongly support a
major division of taxa at the base of the tree, one comprising subgenera Egania and Oriastrum (Clade A) and one
comprising the remaining taxa (Clade B). We reiterate that
rooting was based on cpDNA rpl32-trnL intergenic spacer
sequences for representative Chaetanthera species using
Mutisia as the outgroup (Hershkovitz and Arroyo, unpublished data). ITS sequences of three Mutisieae (Mutisia,
Pachylaena, and Trichocline) could not be conWdently
aligned with those of Chaetanthera, thus preventing outgroup rooting of the ITS data. However, midpoint rooting
placed the root between the Egania and Oriastrum clades,
reXecting the especially short branches of the former and
long branches of the latter. This rooting would not impact
the biogeographic or chronological interpretations. Both
the hLRT and AIC procedures selected the TNM+G+I
model. A more general GTR+G+I model with estimated
base frequencies was used for ML analysis. Initial parameters were those estimated from a neighbor-joining tree.
Starting trees for ML analysis were those having the best
ML score (1 trees) among the 180 MP trees (L D 869,
RC D 0.44, RI D 0.83). The ML analysis produced two similar topologies, the Wrst of which is shown in Fig. 4. This
topology had an MP score of 872. The ML topology suggests that some species, as traditionally circumscribed, are
para- or polyphyletic, including C. elegans, C. glabrata, C.
tenella, C. minuta, C. steubelii, C. pulvinata, and possibly C.
gnaphalioides and C. sphaeroidalis. The divergence between
the two collections of C. villosa, one from central and the
other from southern Chile, is also notable. Additional ITS
data (not shown) suggest that C. moenchioides is also
unnatural. The Wner details of Chaetanthera systematics
will be the subject of a future paper.
The ML tree (Fig. 4) suggests that evolutionary rates of
ITS have been heterogeneous in Chaetanthera. The LRT
yielded p D 0.002 against the hypothesis of rate constancy
(i.e. the clock). The strongest rate contrast is between Egania and Oriastrum. This is possibly related to life form, as
species of Egania are long-lived perennials, whereas species
of Oriastrum are annuals or short-lived perennials. The ITS
divergence rate of C. glandulosa, a subshrub, appears
slower than in related taxa.
M.A. Hershkovitz et al.
Fig. 1. Maximum parsimony bootstrap consensus of Asteridae partial ndhF sequences. Bootstrap proportions are indicated adjacent to the branches.
The divergence dating using PL (Fig. 5) suggests an origin of crown Asteraceae at ca. 36 my and an origin of crown
Chaetanthera at ca. 16.5 my. This date separates subgenera
Clades A and B and is in agreement with recent palynological evidence (Tellería and Katinas, 2004). Egania and Oriastrum subsequently diverge at ca. 13.5 my. The crown age of
Clade B is ca. 10 my. The remaining subgenera, with the
trivial exception of the monotypic subgenus Glandulosa, are
nonmonophyletic, hence cannot be ascribed ages. With
some exceptions, the higher elevation lineages appear to
branch oV relatively early, with the lowest elevation taxa
diverging most recently. The most recently derived high elevation taxon appears to be C. peruviana, which diverged
from C. chiquianensis, a mid-elevation species, within the
past million years and is nested within a mid- to low elevation clade.
4. Discussion
The divergence dates among Asterales families based on
partial ndhF sequences are in remarkably good agreement
with those of Bremer et al. (2004) based on six chloroplast
M.A. Hershkovitz et al.
Fig. 2. Penalized likelihood estimatence of divergence dates of Asteridae based on partial ndhF sequences.
sequences. The resulting estimate of ca. 16.5 my for the
divergence of the crown group of Chaetanthera thus seems
reasonably robust. The estimates for Asterales are somewhat diVerent from those of Kim et al. (2005) using diVerent methods. In particular, the latter shows Asterideae as
much younger (according to their Fig. 6, apparently ca.
85 my), while Asteraceae are somewhat older (ca. 40 my)
than in Bremer et al. (2004) and the present analysis. Thus,
the discrepancy cannot be explained as a matter of scaling.
It should be emphasized, however, that the Asteraceae
datings generated by Kim et al. (2005) should yield an age
estimate for Chaetanthera at least as old as that predicted
by the Bremer et al. (2004) scaVold.
Our age estimate for Chaetanthera is further supported
by the ITS divergences. In Hershkovitz and Zimmer (2000),
we estimated (based on Baum et al., 1998) a rate of 5 £ 10¡9
M.A. Hershkovitz et al.
Fig. 3. Maximum parsimony bootstrap consensus of Chaetanthera ITS sequences. Bootstrap proportions are indicated adjacent to the branches. Numbers
next to taxon names correspond to collection numbers, cf. Table 1. The traditional subgeneric classiWcation (Cabrera, 1937) of the taxa is shown at right.
substitutions per site per year (ssy, Kimura 2-parameter, or
K2P distances, unfortunately ignoring gamma for comparison to other published rates) for herbaceous plants. The
Chaetanthera divergences would be at least slightly faster
than this given our dates, which again points to the conservatism in our estimate for the age of the genus. For example, the C. Xabellata–C. elegans var. elegans split at ca.
10.5 my yields a rate of 7.6 £ 10¡9 ssy. The C. minuta–C. lycopodioides split at ca. 14 my yields a rate of 1 £ 10¡8 ssy,
thus double the typical rate.
The ML topology based on partial ndhF sequences is
in remarkably good agreement with the tree based on
combined complete ndhF and rbcL sequences (Kim et al.,
2005). A notable exception is with respect to relations
among the tribe Barnedesioideae, in particular Chuquiraga. This genus is sister to Dasyphyllum in the present
analysis but sister to Doniophyon in Kim et al. (2005).
This possibly represents a sequence submission error. A
BLAST search (Altschul et al., 1990) indicated that the
complete Chuquiraga (GenBank No. L39393) and Dasyphyllum (L39392) ndhF sequences are identical, whereas
the rbcL sequence of the former (AY874427) is more similar to that of Doniophytum (AY874430). Yet, ndhF
sequences evolve more rapidly than rbcL. We leave this
M.A. Hershkovitz et al.
Fig. 4. Maximum likelihood phylogram of Chaetanthera ITS sequences. One of two topologies of equal likelihood. Numbers next to taxon names correspond to collection numbers, cf. Table 1.
problem unresolved, however, because it does not aVect
our general conclusions.
There appears to be some discrepancy between the ndhF
(Figs. 1 and 2) and ITS data (Figs. 3–5) concerning the relations among Chaetanthera species. In particular, the former
shows strong bootstrap support for a clade comprising C.
pusilla and C. Xabellifolia relative to C. acerosa. The ITS
bootstrap (Fig. 3) and our cpDNA rpl32-trnL intergenic
spacer sequences (data not shown) support the latter two as
closer relatives. This makes better sense considering the
respective subgeneric placements of the three species. Chaetanthera pusilla and C. acerosa belongs to Clade A without
any doubt, whereas C. Xabellifolia belongs to Clade B.
Assuming that the specimens are correctly determined in
both cases, the source of the discrepancy is not clear. It is
possible that poor sampling for ndhF yields a branch
attraction artifact, or it is possible that the ITS tree is misrooted. If indeed the relations shown in the ndhF tree are
M.A. Hershkovitz et al.
Fig. 5. Penalized likelihood estimate of divergence dates of Chaetanthera based on ITS sequences. Numbers next to taxon names correspond to collection
numbers, cf. Table 1. Altitudinal ranges are indicated as follows: white dots, low elevation; hatched dots, mid-elevation; black dots, high elevation.
correct, the divergence date of Egania would increase to
16.5 my.
The ultrametric tree with estimated divergence dates indicate that the high elevation subgenus Egania, centered in the
central Andes and northern part of the southern Andes,
diverged from the remainder of Chaetanthera at least 13.5 my
ago, at which time the Andes had uplifted to perhaps half of
their current height (Gregory-Wodzicki, 2000). However,
Fig. 5 illustrates that the diversiWcation of modern taxa of
Egania occurred during the past 5 my, in agreement with the
age of the highest modern surfaces of the Andes. This pattern
might have been produced by high extinction rates between
13.5 and 5 my ago of lower-altitude adapted plants in this lineage. Alternatively, this lineage may have been represented by a
single species prior to a Pliocene radiation. This situation contrasts with that of subgenus Oriastrum, for which the lineages
giving rise to the modern high-elevation taxa diversiWed prior
to the Pliocene.
M.A. Hershkovitz et al.
The apparently early divergence of the lineages giving
rise to Egania and Oriastrum begs the question as to what
habitat the ancestor could have occupied, considering that
the modern habitats of these taxa did not exist at that time.
For that matter, what was the habitat of the ancestor of
Chaetanthera and what circumstances account for the initial split between the Egania plus Oriastrum and the
remainder of the genus?
Existing geological evidence seems to rule out the possibility that the ancestors referred to above were already
adapted to the high elevation environment. Although the
sampling for Mutisieae remains sparse, there is no indication that Chaetanthera is closely related to any of the other
genera with high elevation species, e.g. Nassauvia, Perezia,
or Leucheria. As a whole, and notwithstanding the high
incidence in the Andes, the tribe is considered to be pantropical and low elevation (Bremer, 1994). That the genus
did not migrate from high elevation habitats in the northern Andes is ruled out by the apparently younger age of the
northern relative to the central and southern Andes (Gregory-Wodzicki, 2000). The distribution of Mutisieae also
seems to rule out the possibility that Chaetanthera migrated
from a high elevation zone outside of South America.
A more plausible explanation for apparent relictuality of
Egania and Oriastrum is the increasing aridity from coastal
Peru through the Atacama region to north-central Chile
during the Pliocene (Hartley and Chong, 2002). Existing
evidence suggests that aridity emerged in the Atacama
region as early as the Jurassic, making it perhaps the
world’s oldest desert (Hartley et al., 2005). However,
hyperaridity did not develop until the late Pliocene. Thus,
the Atacama region could have supported the existence of
the Chaetanthera lineages prior to the Pliocene. These
ancestors apparently escaped hyperaridity by elevating
their habitat as the Andean uplift gradually proceeded.
According to Kœrner (1999), higher elevation habitats are
less water stressed than lower elevation habitats, in part
because of lower evapotranspiration resulting from a
shorter growing season and colder temperatures. One consequence is that soil moisture, especially deeper in the proWle, remains higher than at low elevation locations with
comparable precipitation. In the case of the central and
southern Andes to around 38 °S, precipitation is always
higher at the highest elevations. This is the case for moisture derived from both the westerlies in central and southern Chile and the “invierno boliviano” easterlies that
characterize the Andes of northern Chile, Bolivia, and Peru
(Schwerdtfeger, 1976). Moreover, precipitation at high elevations is largely in the form of snow, which allows release
of available water for an extended period. The principal
innovation required for the evolution of the high elevation
Chaetanthera species would be not for drought, but for cold
tolerance (Kœrner, 1999). A variety of morphological and
physiological mechanisms could result in this tolerance,
among these the formation clusters of subterranean perennating buds and extensive Wne roots (cf. Kœrner, 1999), as
seen in all species of Egania. This lineage subsequently
diversiWed to occupy the high elevation zones receiving
both winter precipitation (central Chile) and summer precipitation (the altiplano). Mechanisms of cold tolerance in
the annual species of Oriastrum are less clear. However, the
arid Andes in Chile stand out for their large number of
annual species derived from many diVerent genera, with
some (e.g. Chaetanthera pusilla) reaching the upper limits of
the vegetation. The long, sunny growing season in the arid
Andes of central Chile does not exclude annuals from successfully completing their life cycle (Arroyo et al., 1981). In
any case, physiological mechanisms for high elevation cold
tolerance in Chaetanthera have not been examined.
Of equal importance is the biogeographic explanation
for the divergence pattern of Clade B. These taxa are more
decidedly central Chilean compared to Egania, with the
exception of two closely related annual species (C. chiquianensis, C. peruviana) that occur in Peru and one (C. perpusilla) that occurs in Bolivia and Chile. The ancestor of this
group is dated at ca. 11 my, which is still older than the high
elevation habitats that some of the species occupy today,
e.g. C. Xabellata, C. euphrasioides, C. spathulifolia and
C. villosa are high elevation species. Thus, it seems that a
mechanism similar to that proposed for Egania and Oriastrum is again required to explain the age of the high elevation lineages, i.e. late Miocene aridity in central Chile
driving some plants upwards. Geological evidence shows
that between the latitudes 33°S and 35 °S, processes of
Andes deformation began between 15 and 16 my, followed
by uplift beginning at ca. 9 my (Irigoyen et al., 2000; Giambiagi, 2003; Farías et al., 2005). Uplift would have aVected
the circulation of humid air masses, coming from the Atlantic and the PaciWc. This would have resulted in a major
reduction in summer rain on the Chilean side of the Andes,
along with a reduction in winter rain on the Argentinian
side. Consequently, a subtropical xeric Xora developed on
opposite sides of the Andes (Hinojosa and Villagrán, 1997;
Hinojosa, 2005; Villagrán and Hinojosa, 2005), the precursor to the present mediterranean matorral on the western
side of the Andes and the Monte on the eastern side. The
change from C3 to C4 grass domination that occurred
between 7 and 4 my (Latorre et al., 1997, cf. Hartley and
Chong, 2002) would be indirect evidence for the establishment of arid conditions at the end of the Miocene and
beginning of the Pliocene as a result of the rain shadow
produced by the Andes.
The only clear exceptions to the biogeographic scenario
proposed above are the high elevation species C. peruviana,
and C. perpusilla, the Wrst of which is closely related and
probably recently diverged from C. chiquianensis, a lower
elevation species, and is nested in a predominantly mid- to
low elevation clade. Although Table 1 shows the elevation
of the collection of C. peruviana as only slightly higher than
that of C. chiquianensis, the latter was collected further
north. As we have noted, the limit of southern hemisphere
alpine vegetation increases with decreasing latitude. In any
case, C. chiquianensis was collected in a columnar cactusshrubland vegetation, whereas C. peruviana was collected
M.A. Hershkovitz et al.
ca. 300 m above the lower limit of the alpine puna vegetation. Chaetanthera perpusilla is a high elevation species
whose closest relative is the coastal desert species C. tenella
var. taltalensis, which is found in disjunct populations
along the coast, like many other arid mediterranean-type
climate species. Because this clade is strongly central Chilean, it seems that long distance dispersal is the most likely
explanation for the occurrence of these species in high elevation habitats. This seems all the more likely given the relatively easy dispersal of the hairy achenes of Chaetanthera
and in view of apparently frequent longer-distance amphitropical dispersal of taxa with no evident dispersal mechanisms, e.g., Portulacaceae (Hershkovitz and Zimmer, 2000).
In any case, C. peruviana and C. perpusilla, both small
annuals, are notable in that they are some of the few species
of Chaetanthera whose phylogenetic relations correspond
to the conventional wisdom that the younger high elevation
habitat is occupied by a species derived from a lower elevation older habitat.
Another striking aspect of Fig. 5 is that the generally
lowest elevation species of Chaetanthera of Clade B appear
to be the most evolutionarily derived, contrary to intuition.
The above historical biogeographic scenario may provide
some insight as to why this is so. The lower elevation taxa
would have required a secondarily evolved tolerance to the
increased aridity developing on the western slope of the
Andes that became intense from the Pliocene onwards, giving rise to open mediterranean-type climate shrublands,
which at the same time provided new niches for the establishment of an herbaceous Xora. It is noteworthy in this
regard that the low-mid elevation species classiWed by Cabrera (1937) in subgenus Proselia found in south-central
Chile often occupy open sites in volcanic soils. The annual
species classiWed by Cabrera in Tylloma and Euchaetanthera generally occur in washes, gravelly slopes and Xats,
and in well-drained open spaces between woody matorral
shrubs, all of which become exceedingly dry in summer.
The degree to which the evolution of high-elevation
Chaetanthera proves to be the exception or the rule among
other Andean taxa remains to be determined, Apparent
relictuality of high elevation lineages appears to be the case
in Portulacaceae and Tropaeolum sect. Chilensia. In the
former, divergence of western American Portulacaceae genera appears to have occurred rather abruptly (Hershkovitz,
2006). Among the lineages that diverged are the high elevation or likely ancestrally high elevation taxa Montiopsis,
Lenzia, and Calandrinia. Based on minimal ITS divergence
of 0.08% (K2P distance) between western American Portulacaceae and the outgroup Phemeranthus, and using a substitution rate of 5 £ 10¡9 substitutions per site per year, an
age of 16 my also emerges. In Tropaeolum sect. Chilensia the
high-elevation clade including T. polyphyllum diverges
immediately following separation of the clade including T.
speciosum and the Argentinian disjunct, T. pentaphyllum, a
disjunction probably late Eocene to Oligocene in age (Hershkovitz et al., 2006). ITS sequence divergence of the highaltitude clade from the more derived lowland taxa is on the
order of 0.06%, but species of Tropaeolum are more longerlived perennials than most taxa of Chaetanthera and Portulacaceae, hence might have a slower rate of ITS divergence.
In addition to the cases above, Fig. 2 also shows relictuality of another high-elevation genus, Pachylaena, as well as
early divergence of other genera that include high elevation
species, e.g. Perezia and Leucheria. These results cannot be
considered as conclusive regarding high-elevation plant
divergence time as the results for Chaetanthera. In particular, the genera of Mutisieae remain poorly sampled at the
molecular level (see Bremer, 1994). Likwise, Perezia and
Leucheria include many low elevation species. Comparison
of K.-J. Kim et al. (2005) and the present results for the
high elevation genus Nassauvia reveals how poor sampling
can be misleading. The former suggest a divergence of ca.
30 my for this genus, whereas, with the inclusion of the
Triptilion sample, the divergence is relatively recent. However, the present sampling cannot discriminate between a
recent divergence of the high elevation Nassauvia relative to
the lowland Triptilion versus the reverse scenario.
The above discussion presents a new angle on the infamous “cradle versus museum” controversy regarding
angiosperm origins (Stebbins, 1974), viz. whether angiosperms originated in tropical lowland forests where relictual species are overrepresented versus whether they
originated in harsher habitats and evolved subsequently
into habitats more favorable for luxurient growth. In the
present case, the relatively young high altitude habitat
appears to be a “museum” for some early derived lineages
of Chaetanthera. In this particular case, the emerging high
elevation habitat was hydrologically more favorable for
growth than the increasingly arid lower elevation habitats
in which the genus must have originated. However, as Stebbins (1974, p. 14), noted, a given habitat is probably an evolutionary laboratory for some taxa and a museum for
others. This appears to be the case, as C. peruviana and C.
perpusilla appear to have become adapted the high elevation habitat more directly and recently.
Acknowledgments
Research supported by FONDECYT Grant 1020956, an
A. W. Mellon Foundation Grant, Millennium ScientiWc Initiative (ICM) Grant P02-051, and BBVA Foundation Prize
in Conservation Biology Research. We acknowledge the
able technical assistance of Ana María Humaña, Christian
Zavaleta, Sebastian Molinet, and Gabriel Pérez. We thank
Alison Davies for assisting in the identiWcation of most of
the taxa.
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