- Research article
- Open Access
Phylogenetic relationships of typical antbirds (Thamnophilidae) and test of incongruence based on Bayes factors
BMC Evolutionary Biology volume 4, Article number: 23 (2004)
The typical antbirds (Thamnophilidae) form a monophyletic and diverse family of suboscine passerines that inhabit neotropical forests. However, the phylogenetic relationships within this assemblage are poorly understood. Herein, we present a hypothesis of the generic relationships of this group based on Bayesian inference analyses of two nuclear introns and the mitochondrial cytochrome b gene. The level of phylogenetic congruence between the individual genes has been investigated utilizing Bayes factors. We also explore how changes in the substitution models affected the observed incongruence between partitions of our data set.
The phylogenetic analysis supports both novel relationships, as well as traditional groupings. Among the more interesting novel relationship suggested is that the Terenura antwrens, the wing-banded antbird (Myrmornis torquata), the spot-winged antshrike (Pygiptila stellaris) and the russet antshrike (Thamnistes anabatinus) are sisters to all other typical antbirds. The remaining genera fall into two major clades. The first includes antshrikes, antvireos and the Herpsilochmus antwrens, while the second clade consists of most antwren genera, the Myrmeciza antbirds, the "professional" ant-following antbirds, and allied species. Our results also support previously suggested polyphyly of Myrmotherula antwrens and Myrmeciza antbirds. The tests of phylogenetic incongruence, using Bayes factors, clearly suggests that allowing the gene partitions to have separate topology parameters clearly increased the model likelihood. However, changing a component of the nucleotide substitution model had much higher impact on the model likelihood.
The phylogenetic results are in broad agreement with traditional classification of the typical antbirds, but some relationships are unexpected based on external morphology. In these cases their true affinities may have been obscured by convergent evolution and morphological adaptations to new habitats or food sources, and genera like Myrmeciza antbirds and the Myrmotherula antwrens obviously need taxonomic revisions. Although, Bayes factors seem promising for evaluating the relative contribution of components to an evolutionary model, the results suggests that even if strong evidence for a model allowing separate topology parameters is found, this might not mean strong evidence for separate gene phylogenies, as long as vital components of the substitution model are still missing.
The typical antbirds (Thamnophilidae) is a speciose family within the furnariid radiation (sensu ) of the New World suboscine clade. The family includes fully 200 species  that all are restricted to neotropical forests. Most species are arboreal or undergrowth inhabitants, while only a few members are clearly terrestrially adapted, which otherwise seems to be the commonest lifestyle for most members in closely related clades (e.g., gnateaters Conopophagidae, antpittas Grallariidae, tapaculos Rhinocryptidae, and antthrushes Formicariidae). The highest diversity of typical antbirds is found in the Amazonian basin, and differences in ecological specializations make it possible to find as many as 40 species in the same area . Morphologically typical antbirds shows considerable variation in size and patterns and colors of the plumage (black and shades of grey, buff and chestnut, with sexual plumage dimorphism in many species), while the variation in shape is more restricted. Many insectivorous niches are occupied, but the specialization of some species to follow army ants (to capture escaping insects) is perhaps the most well known. This habit has also given raise to the vernacular family name.
In traditional classifications, the antpittas (Grallariidae) and antthrushes (Formicariidae) were grouped together with typical antbirds in an even larger family. However, the support for the expanded antbird family was indeed weak, and both morphological [4–6] and molecular [1, 7] evidence suggests that antpittas and antthrushes are distantly related to typical antbirds. DNA sequence data [1, 8] suggests that gnateaters (Conopophagidae) forms the sister clade to typical antbirds, while antpittas and antthrushes are more closely related to tapaculos (Rhinocryptidae), woodcreepers and ovenbirds (Furnariidae).
Even though the monophyly of typical antbirds seems to be well supported by both syrinx morphology  and molecular data [1, 7] the phylogenetic relationships within this assemblage are poorly understood, and the confusion extending to all taxonomic levels. Both the monophyly of several genera of typical antbirds has been questioned [3, 9, 10], as well as the delimitation of certain species [2, 11–14]. Some species have also been moved from one genus to another (e.g., the black-hooded antwren that has been moved from the genus Myrmotherula to Formicivora ). The current knowledge of the phylogenetic relationships among typical antbirds rests mainly on interpretations drawn from external features, mostly of bill and feet, and has remained essentially the same for 150 years .
As typical antbirds are morphologically and ecologically diverse, they form a challenging group for studies of, e.g. adaptive evolution. However, such studies, as well as biogeographic interpretations, are difficult to make as long as there is no phylogenetic hypothesis. The aim of this study is therefore to create a hypothesis of generic relationships of typical antbirds that could be used as a framework for more detailed studies of the evolution of the group. Two nuclear introns, intron 2 in myoglobin and intron 11 in the glyceraldehyde-3-phosphodehydrogenase gene (G3PDH), and the mitochondrial cytochrome b gene, have been sequenced for 51 typical antbird taxa representing 38 out of the 45 genera recognized by Ridgely and Tudor . We have used Bayesian inference and Markov chain Monte Carlo (MCMC) to estimate the phylogenetic relationships.
A common assumption made by molecular systematists is that gene trees accurately reflect species trees. Nevertheless, different data partitions may have different phylogenies due to processes as lineage sorting, gene duplication followed by extinction, and lateral transfer by hybridization and introgression (reviewed in [16–18]).
Primarily, there are two contradictory strategies utilized to handle data sets with significant phylogenetic incongruence between independent data partitions. Advocates for a "total evidence approach" (e.g., [19, 20]) suggest that available data always should be combined, even though individual data partitions might be partly incongruent. The arguments are that a combination of different data partitions might improve the total resolution as different data partitions might be useful to resolve different areas of the tree, and that additive data sets might enhance phylogenetic informative characters that have been hidden by noise in the individual partitions. Opponents to this view (e.g., [21, 22]) advice that data partitions with a significant level of incongruence should not be combined, as reliable characters might be obscured by random or systematic errors and in the worse case result in an erroneous topology (even though individual data partitions might provide consistent estimates).
However, when independent evidence is lacking and incongruence occurs between individual data partitions, it may be difficult to determine whether particular partitions are better estimates of the species tree than others. Researchers might favor the "total evidence approach" for this particular reason (even though the argument for not combining data partitions with significant levels of incongruence have strong merits). However, the degree of incongruence between individual gene trees could be used to determine whether the phylogenetic conclusions should be based on the combined data set, or only those parts that are similar among the different partitions. A commonly used approach for analysing combined data with maximum likelihood is to assume a single (the same) substitution model for all of the combined genes (for exceptions, see [23, 24]). A significant result of incongruence between the combined result and the individual genes can then be hard to explain, since the incongruence could be due to both true difference in gene phylogeny and a misfit in the assumed model of evolution for the combined data [21, 25]. This misfit could, for example, be a result of not allowing a heterogeneous model, that is, not allowing the different genes to have separate substitution models in the combined analysis . We have thus explored our data partitions (the individual genes) by the congruence test described by Nylander et al. , which utilizes Bayes factors. The test is not an explicit significance test but compares the strength of evidence between two models of character evolution.
Although nuclear genes (as when situated on different chromosomes) may be considered as members of different linkage groups, the maternally inherited mitochondrial genome is effectively independent from the nuclear genome. Organelle genomes have also been suggested to more susceptible to "flow" between taxa during hybridization (although much less common in animals than in plants). In birds Degnan and Moritz  and Degnan , for example, have demonstrated that the mitochondrial tree in Australian white-eyes misrepresented the tree of nuclear loci and the expected species tree, possibly due to previous hybridization events. We have thus primarily been interested in the potential incongruence between the mitochondrial cytochrome b and the two nuclear genes (myoglobin and G3PDH), but all combinations of the three genes were examined. However, limitations in the substitution models might be the most important explanation to observed incongruence between data partitions, rather than an intrinsic phylogenetic incongruence . We also explored how changes in substitution models affected the observed incongruence in our data set.
Molecular variation and sequence distances
After alignment, the concatenated sequences become 2173 bp long. A total of between 679 bp (Sclerurus scansor) and 723 bp (Myrmotherula leucophthalma) was obtained from myoglobin intron 2, between 351 bp (Rhegmatorina melanosticta) and 400 bp (Myrmeciza griseiceps) from G3PDH intron 11, and 999 bp from cytochrome b. The observed, pairwise distances between ingroup taxa range between 0, 7% and 10, 7% in myoglobin, between 0, 3% and 19, 3% in G3PDH and between 6, 5% and 23, 9% in cytochrome b. Indels were found both in the myoglobin intron 2 and in the G3PDH intron 11. In most cases these are autapomorphic indels or occur in especially variable and repeatable regions. Given the tree topologies obtained from the Bayesian analyses, some synapomorphic indels were observed. For example, all Thamnophilus representatives share with Sakesphorus bernardi an insertion in the G3PDH intron, and, together with Dysithamnus mentalis and Herpsilochmus atricapillus, an insertion in the myoglobin intron.
Phylogenetic inference and molecular models
A priori selection of substitution models showed that fairly parameter rich models were the best fit for all data partitions. Importantly, modeling rate variation seemed to be an important component. For the cytochrome b partition the GTR+I+Γ was the best fit, and for myoglobin intron 2, it was the GTR+ Γ. For the G3PDH intron 11 the somewhat simpler HKY+ Γ model was chosen. These models were used in the consecutive MCMC of the individual genes as well in the combined analysis. The parameter estimates from the two separate MCMC runs for each data set were found to be very similar (data not shown), thus allowing an inference from the concatenated output. After discarding the burn-in phase the inference for the cytochrome b was based on a total of 36, 000 samples from the posterior, for myoglobin the inference was based on 38, 000 samples, and for G3PDH and the combined data, inference were based on 38, 000, and 55, 600 samples, respectively. For the phylogenetic inference, the mode of the posterior distribution of topologies was presented as a majority-rule consensus tree from each analysis (Figures 1,2,3,4).
The trees obtained from the Bayesian analyses of the individual genes (cytochrome b, myoglobin and G3PDH) and the combined data set all differ in topology and degree of resolution. The G3PDH gene produced the poorest resolved tree (Figure 1) and also contains the smallest number of nodes with posterior probability values above 0.90. The myoglobin (Figure 2) and cytochrome b (Figure 3) genes produced trees with similar degree of resolution and nodal supports, but there is a weak tendency for cytochrome b giving better resolution and support at terminal nodes. The combined data set (cytochrome b, myoglobin and G3PDH) produced the most resolved tree (Figure 4) with the highest number of strongly supported nodes (exceeding 0.90 posterior probability). Overall, the myoglobin, the cytochrome b and the combined trees are topologically rather similar, while the G3PDH tree is the most deviant. A common pattern in all trees is that several nodes are unresolved, or short with low or intermediate posterior probabilities support values (0.50–0.90). The observed topological conflicts between the obtained trees generally occur at these short nodes, and there are only a few nodes with posterior probabilities values above 0.90 that are in conflict between the trees. Of these, one concerns the outgroup relationships (the G3PDH tree supports with 0.96 posterior probability a position of Pteroptochos tarnii that differs from all other trees). The other two conflicts concern internal relationships within well supported sub-clades: The cytochrome b tree places with 0.98 posterior probability Myrmotherula menetriesii basal to a clade consisting of Myrmotherula axillaris, Myrmotherula behni and Formicivora rufa. In the combined tree Myrmotherula menetriesii instead is nested within this clade with 1.00 posterior probability. The myoglobin tree suggests with 0.94 posterior probability that Taraba major is basal to Batara cinerea and Hypoedaleus guttatus, while Taraba major is basal also to Mackenziaena severa and Frederickena unduligera with 0.99 posterior probability in both the combined and the cytochrome b trees.
However, most suggested relationships are congruently supported by more than one of the trees obtained from the individual genes and by the combined data set. Several clades are also supported by all three genes trees as well as by the combined data set, including the recognition of a monophyletic origins of 1) the "large antshrikes" (Taraba major, Batara cinerea, Hypoedaleus guttatus, Mackenziaena severa, and Frederickena unduligera), 2) the "professional" ant-following antbirds (Pithys albifrons, Phlegopsis erythroptera, Phaenostictus mcleannani, Rhegmatorhina melanosticta and Gymnopithys leucaspis), 3) a Sakesphorus-Thamnophilus antshrike lineage (Sakesphorus bernardi and the five representatives of the genus Thamnophilus), and 4) a clade consisting of the wing-banded antbirds (Myrmornis torquata), the spot-winged antshrike (Pygiptila stellaris) and the russet antshrike (Thamnistes anabatinus). Sistergroup relationships between antvireos (Dysithamnus mentalis) and Herpsilochmus antwrens (Herpsilochmus atricapillus), as well as between Myrmotherula obscura and Myrmochanes hemileucus are also recognized by all trees.
Based on the tree obtained from the Bayesian analysis of the combined data set, typical antbirds could also be divided into three major clades (marked as A, B and C in Figure 4). The first clade (clade A) includes four genera that are suggested to have a basal position in relation to all other typical antbirds (1.00 posterior probability in the combined tree). This basal group (supported by 0.72 posterior probability in the combined tree) includes the representative of Terenura antwrens (Terenura humeralis), the wing-banded antbird (Myrmornis torquata), the spot-winged antshrike (Pygiptila stellaris) and the russet antshrike (Thamnistes anabatinus).
The second clade (clade B, Figure 4) is supported by 0.95 posterior probability in the combined tree and includes all antshrike genera (except the spot-winged antshrike and the russet antshrike, see clade A), antvireos (Dysithamnus), Herpsilochmus antwrens and the banded antbird (Dichrozona cincta). Within this large clade several lineages occur that receives more than 0.95 posterior probability. Noticeable within this clade is that neither the analyses of the individual genes nor the combined data set conclusively support that the representative of the antshrike genus Sakesphorus (Sakesphorus bernardi) is phylogenetically separated from the Thamnophilus antshrikes.
The last clade (clade C, Figure 4), including the Myrmeciza antbirds, most antwren genera (e.g., Myrmotherula and Formicivora), the "professional" ant-following antbirds, and some allied species, is supported by a 1.00 posterior probability value. Also within this clade several lineages are supported by posterior probability values above 0.90. However, the most interesting observation is the strong support for a polyphyletic origin of the Myrmeciza antbirds and the Myrmotherula antwrens.
Tests of incongruence
The Bayes factor tests showed extensive incongruence between partitions, at least in the sense that relaxing the assumption of a common topology parameter always gave a better model likelihood (Table 1). For example, allowing the cytochrome b partition to have a separate topology from the two nuclear partitions myoglobin and G3PDH, gave a 2logB12 of 60.8. This value strongly suggests that an unlinked model is superior to the model assuming a common topology parameter for all partitions. This would also suggest that there is strong conflict between the mitochondrial and the nuclear partitions. However, this conclusion is far from conclusive when we consider the linking of the topology parameter for other combinations of the data. Combining the topology parameter for either one of the nuclear partitions with the mitochondrial, actually gives a better model (higher Bayes factors) than considering the mitochondrial vs. the nuclear partition (Table 1). For example, compared to the model that assumes a common topology parameter, unlinking the myoglobin partition from the other gave a 2logB of 102.26. Unlinking the G3PDH partition gave an even better model, with a 2logB of 118.12. Furthermore, if we would have to choose the one partitioning scheme that had the highest model likelihood, the model allowing a separate topology parameter for all partitions would be the clear choice (having a 2logB of 241.36 compared to the common model).
The parsimony based ILD-test did not find a significant incongruence between the three gene partitions (p = 0.967).
Phylogenetic incongruence between gene partitions
Allowing the gene partitions to have separate topology parameters clearly increased the model likelihood. That is, the unlinked models clearly had a better fit to the data than the linked models. Judging from the absolute value of the 2logB (Table 1), we are inclined to conclude that we should treat each partition as having its own posterior distribution of trees. However, the question is if we from these results really can say that the gene partitions evolved on different phylogenies? There are several reasons why different data partitions may have different phylogenies, although being sampled from the same taxa, or even the same individuals (se above). We cannot completely rule out the occurrence of any of these processes in our data. However, we believe that the interpretation based solely on Bayes factors might be hazardous. For instance, is it plausible that all three gene partitions had evolved on three different phylogenies, or that the linking of cytochrome b and myoglobin is a more reasonable partition of the data, instead of the mitochondrial versus the nuclear partitions? Nylander et al. , speculate that limitations in the substitution models might be more reasonable explanations to the high Bayes factors observed when comparing unlinked and linked models. Changing a component of the nucleotide substitution model, e.g. adding parameters to model rate variation, had much higher impact on the model likelihood than unlinking parameters among data partition. To illustrate the impact of changing the substitution model in our data, we run additional MCMC analyses under a different set of models, and compared them with the previous analyses using Bayes factors. The results were striking (Table 2). For example, we compared two models without rate variation, one with linked and the other with unlinked topologies (in both models GTR was used for cytochrome b and for myoglobin, and HKY for the G3PDH). The 2logB was 295.98 in favor for the unlinked model. However, adding parameters for modeling rate variation to either of the two models increased the model likelihood tremendously. The 2logB in favor of a model having parameters for rate variation (applying the same substitution models as the ones chosen a priori using AIC, see material and methods), varied between 5125.22 and 5662.56, depending on the model being compared (Table 2). Similar observations of magnitude changes in Bayes factors were made by Nylander et al. , when allowing rate variation. Another striking feature was that once parameters for modeling rate variation had been incorporated into the model, unlinking topologies did not seem to have as pronounced effect on the model likelihood (Table 2), compared to the models without rate variation. This observation is in concordance with previous findings that many functional genes have a strong among-site rate variation and that adding the relevant parameters to the model is likely to have a large effect on the likelihood [23, 27, 30, 31].
It is worth noting that the parsimony based ILD-test did not find a significant incongruence between the three gene partitions. The value of this observation is uncertain, however, as the ILD test is based on another optimality criterion (parsimony). Furthermore, the strength of the test and interpretation of the results have also been questioned (e.g., )
In conclusion, allowing partitions to have separate topology parameters put fewer restrictions on the data. Hence, we should expect to find a better fit of the model to the data. Bayes factors seem promising for evaluating the relative contribution of components to an evolutionary model. However, judging from the relative increase in model likelihood when unlinking topologies compared to e.g., adding parameters for rate variation, we would anticipate components in the substitution model (for example, allowing rate variation among lineages) to have more effects on accommodating incongruence in the data. That is, even if we find strong evidence for a model allowing separate topology parameters, this might not mean strong evidence for separate gene phylogenies, as long as vital components of the substitution model are still missing. For further discussions on Bayesian approaches to combined data issues see e.g., [25, 26, 33].
Phylogeny and morphological variation in typical antbirds
Even though we are unable to conclusively tell whether the observed phylogenetic incongruence between the individual gene partitions is due to genuine differences in phylogeny, or to limitations in the models used, we believe that the tree obtained from the combined data set represents the best estimate of the true relationships within the typical antbird assemblage. Obviously, several relationships are strongly supported, by congruent recognition by the individual gene trees and/or by high nodal support values. Nevertheless, other relationships have to be regarded as tentative, and especially those where any of the individual gene trees gives a strong nodal support for an alternative topology.
It is noticeable that, although the individual genes congruently support several terminal groups, basal relationships are generally less well resolved and more often in conflict. Even though this observation might be biased due to the use of improper molecular models when calculating the trees, biased mutation rate in studied genes, or a biased taxon sampling, it could indicate that the diversifications of typical antbirds was characterized by some rapid speciation bursts. There are only a few recent studies of typical antbirds with taxon samplings that includes representatives from several genera, but these studies show similar difficulties in resolving generic relationships. For example, in a study of phylogenetic relationships of Myrmotherula antwrens that included representatives from several other typical antbird genera, Hackett and Rosenberg  obtained considerably different topologies from plumage characters, allozyme and morphometric data, respectively. In addition, the phylogenetic relationships suggested from mitochondrial DNA sequence data within a partly comparable taxon sampling , have little resemblance to those in Hackett and Rosenberg . The nodes between typical antbirds in the DNA-DNA hybridization "tapestry" by Sibley and Ahlquist [: Figure 372] also contain a high degree of short branches.
It is also apparent that earlier antbird taxonomists, using external morphology, had difficulties in their taxonomic decisions and interpretations of higher-level relationships. Ridgway [: p. 9] expressed that "The classification of this group is very difficult, more so probably than in the case of any American family of birds". Hackett and Rosenberg  concluded that antwren speciation mainly has been followed by plumage differentiation (and to some degree size differentiation) rather than changes in body proportions. Overall, this evolutionary pattern, with great changes in plumage and more limited changes in body proportions, seems to characterize the entire typical antbird assemblage (in contrast to the situation in ovenbirds, where there is a great variation in body proportions but not in plumage characters). However, Hackett and Rosenberg  suggested that neither plumage nor morphometric data correctly predicted the genetic relationships among the studied taxa. Our results seem to support their assumption as the traditionally used plumage characters in typical antbirds, as stripes, wingbars, and general coloration; seem to be irregularly distributed in the phylogenetic tree. It is reasonable to assume that plumage characters in typical antbirds are variable to such a degree that they are of limited use in studies of higher-level relationships. High levels of homoplasy (convergences and reversals) in plumage characters have also been reported in other passerine birds e.g., in Australian scrubwrens  brush-finches , and in New World orioles .
However, if excluding members in the "basal" group (clade A, Figure 4) and a few other aberrant taxa, the division of typical antbirds into the two main lineages in our phylogeny (clade B and C, Figure 4) is overall in good agreement with their body proportions (although there is a considerable size variation within both clades). The antshrikes (excluding Tamnistes and Pygiptila), antvireos and Herpsilochmus antwrens in clade B (Figure 4) are all more or less robust birds with heavy and prominently hooked bills, and many of them have a barred plumage pattern. The taxa in clade C (Figure 4), which includes most antwren genera, the Myrmeciza antbirds, the "professional" ant-following antbirds and some allied species, are generally slimmer birds with longer, thinner bills that have a less prominent hook. Most suggested relationships within clade B and C are in good agreement with traditional classifications. The recognition of monophyletic origins of most of the "professional" ant-following taxa (Phaenostictus, Gymnopithys, Rhegmatorhina, Pithys and Phlegopsis) and the "large" antshrikes (Taraba, Hypoedaleus, Batara, Frederickena and Mackenziaena) are two examples where our results are congruent with traditional classifications. The suggested relationships between the Hypocnemis and Drymophila antbirds, and the Herpsilochmus antwrens and the antvireos (Dysithamnus), respectively, have also been proposed previously based on molecular data [9, 10]. Unfortunately, the genera Biatas, Clytoctantes, Percnostola, Rhopornis, Stymphalornis and Xenornis were lacking in our study; while most of these should probably be referred to Clade C, Biatas is difficult to place.
Some novel relationships and the phylogenetic positions of some aberrant taxa
For certain taxa the position in our combined phylogeny is unexpected considering the external morphology and traditional classification. Most noticeable are the position of the banded antbird (Dichrozona cincta), which is nested within the clade with antshrikes, antvireos and Herpsilochmus antwrens (clade B, Figure 4), and the position of the wing-banded antbird (Myrmornis torquata) as sister to the russet antshrike (Thamnistes anabatinus) and the spot-winged antshrike (Pygiptila stellaris) (clade A, Figure 4). However, the increased number of molecular based phylogenies in recent years have led to discoveries of several examples, at different phylogenetic levels, were birds have been misclassified due to significant morphological differences from the taxa to which they are most closely related [38–40].
The phylogenetic position of the wing-banded antbird (Myrmornis torquata) has long been obscured and it was long placed with the typical army-ant followers (e.g., ). The wing-banded antbird has also been suspected to be related to ground antbirds (Formicariidae sensu ) based on similarities in morphology and general appearance . Our results confidently place it within typical antbirds, a conclusion further supported by its vocalization  and choice of nest site and its white egg . The well supported relationship to the arboreal russet antshrike (Thamnistes anabatinus) and spot-winged antshrike (Pygiptila stellaris), suggested by our data, has apparently been obscured by structural differences caused by its adaptation to a terrestrial life-style shared with for example the antthrushes. A similar explanation may apply to the peculiar position of the banded antbird (Dichrozona cincta) in the combined phylogeny, as this taxon is also a mainly terrestrial bird, unlike the other members in the "antshrike" clade (clade B, Figure 4). The fact that the banded antbird has a rather long branch in the combined tree and that its phylogenetic position alter between the individual gene trees, leads us to consider the phylogenetic position of the banded antbird (Dichrozona cincta) as preliminary. However, it is obvious that it is not closely related to the Hylophylax antbirds with which it has traditionally been grouped (based on similarities in plumage patterns and weak sexual dimorphism). It should be noted that, due to the peculiar position of Dichrozona cincta, a second individual (ZMUC 128217) have been sequenced for all three genes. There were no variation at all found between the two individuals in G3PDH, in myoglobin 1 ambiguous position were found, and in cytochrome b 24 base pairs (2.4%) that differed as well as 3 ambiguous positions were found. Overall, this variation is within the variation that could be suspected between individuals within a species. Thus, the strange position of Dichrozona cincta in our analyses is unlikely to be due to sample or sequence mix-up.
There are several other, less striking examples where the position of taxa in our phylogeny conflicts with relationships suggested in classifications based on external morphology. The Herpsilochmus antwrens for example (traditionally placed among Myrmotherula, Microrhopias and Formicivora antwrens), are quite different in appearance from their sister group Dysithamnus in being rather slim, lacking a particularly hook-bill, and in having a distinctly patterned plumage (however, as discussed above a close relationship between Herpsilochmus and Dysithamnus is also supported by an independent molecular study). Other examples are the positions of Myrmorchilus and Neoctantes, respectively (see discussion below). In these cases their true affinities may have been obscured by morphological adaptations to habitats or food sources that differ from those preferred by their closest relatives.
The strong support in the combined tree for basal positions of Myrmornis, Pygiptila, Thamnistes and Terenura relative to all other typical antbirds is maybe the most unexpected result of our study. In a majority of classifications Terenura is placed close to other antwrens, but with no strong data support. Although the precise position of the Terenura antwrens is partly ambiguous in our analysis, they obviously belong to an ancient radiation that is only distantly related to the other "antwrens". The Terenura antwrens differ from other "antwrens" in plumage pattern and in being more slender and warbler-like with a thinner bill and longer tail. In a study based on mitochondrial DNA the position of Terenura was ambiguous depending on how the data set was analyzed  but clearly it was not closely related to the other taxa included in that study (e.g., Myrmotherula, Formicivora, Herpsilochmus, Hypocnemis, Drymophila).
The well-supported phylogenetic position of Pygiptila and Thamnistes as the sistergroup to Myrmornis (instead of being close to other antshrikes as suggested in many linear classifications), is novel. However, Pygiptila and Thamnistes resemble each other in their ways of feeding in the sub-canopy, Thamnistes also resembling the Pygiptila female in appearance, and differing from most antshrikes in feeding behavior. DNA-DNA hybridization data  and protein electrophoresis  have previously shown Pygiptila to be genetically distant from the Thamnophilus antshrikes. The general external resemblance of Pygiptila and Thamnistes to other antshrikes is therefore best explained, as being plesiomorphic, and this may also be the case with their suspended nest-type.
The polyphyly of Myrmotherula antwrens and Myrmeciza antbirds
Our results confirm both previous molecular studies that suggest the Myrmotherula antwrens are polyphyletic [9, 10], and the suspicion based on morphology that also the rather diverse genus Myrmeciza constitutes an unnatural taxon . Nevetheless, most Myrmeciza antbirds studied herein belong to the same clade, although they are not monophyletic as several other genera (Myrmoborus, Gymnocichla, Pyriglena, Sclateria, Schistocichla, Hypocnemoides, and Hylophylax) are nested among them. However, the chestnut-tailed antbird (Myrmeciza hemimelaena), which represents a group of small and slim Myrmeciza antbirds with prominent wing spots in both sexes, groups with the Drymophila, Hypocnemis and Cercomacra antbirds. The small and slim Myrmeciza antbirds resembles morphologically the Hypocnemis antbirds in having similar wing spots as well as a rather short and rufous-brown tail.
The clade that includes the remaining Myrmeciza antbirds consists of three unresolved lineage. The first includes a group of large and heavily built Myrmeciza antbirds (represented by Myrmeciza fortis). Next outside this group is the fire-eye (Pyriglena leuconota), followed by the bare-crowned antbird (Gymnocichla nudiceps) and the Myrmoborus antbird representative (Myrmoborus myotherinus). These taxa have rather stout bodies and in most cases red eyes. Both the fire-eyes and the bare-crowned antbird were previously assumed to be related to the large, heavy-billed Myrmeciza antbirds (e.g., ). The second lineage consists of the silvered antbird (Sclateria naevia) and the Schistocichla antbird representative (Schistocichla leucostigma). These relationships are in good agreement with the overall plumage characters in these taxa , with the males being rather uniform gray while the females are rufous. Such a plumage is also found in the genus Percnostola, with which the Schistocichla antbirds are considered to be most closely related (Schistocichla and Percnostola have even been regarded as congeneric, but it has also been suggested that Percnostola could be polyphyletic).
In the third lineage, Myrmeciza griseiceps and Myrmeciza berlepschi form the sister clade to Myrmeciza loricata, Hypocnemoides maculicauda and Hylophylax naevia (the latter two are sister taxa). This group consists of rather typical shaped and sized "Myrmeciza" antbirds. Although it has a shorter tail, Hylophylax naevia shares plumage pattern with Myrmeciza loricata (Hypocnemoides maculicauda is more discretely patterned), while Myrmeciza griseiceps and Myrmeciza berleschi, on the other hand, are more uniformly colored birds.
A non-monophyletic origin of Myrmotherula antwrens, suggested by our data, agrees with the results of previous molecular studies [9, 10]. The results also support Hackett and Rosenberg's  protein electrophoresis data suggesting that the "gray" and "streaked" forms of Myrmotherula antwrens are more closely related to each other than either is to the "checker-throated" forms. The combined tree (Figure 4, clade C) suggests that the Myrmotherula antwrens evolved along two separate phylogenetic lineages. In the first, the "checker-throated" forms (Myrmotherula fulviventris and Myrmotherula leucophthalma) group with the black bushbird (Neoctantes niger) and constitute the sister to the dot-winged antwren (Microrhopias quixensis) and the stripe-backed antbird (Myrmorchilus strigilatus). Based on the external morphology these taxa indeed constitute a rather heterogeneous group. For example, the stripe-backed antbird has previously been suggested to be related to Formicivora and Drymophila antwrens , which are distantly related according to our results. However, Neoctantes, Microrhopias and Myrmorchilus are monotypic genera that lack obvious close relatives. Myrmorchilu s is essentially a terrestrial bird, living in chaco scrub, thus differing in habits and habitat from the "typical" antwren lifestyle. Neoctantes lives in humid forest like most Myrmotherula antwrens, but its bill is modified to hammers on stems, vines etc., and to be used as a wedge to pry off strips of bark . The morphological differences between Neoctantes and Myrmorchilus on one hand, and the "checker-throated" Myrmotherula antwrens on the other, could thus be the result of adaptive specializations in the former taxa.
In the second lineage of Myrmotherula antwrens, the "streaked" forms represented by the short-billed antwren (Myrmotherula obscura) and the black-and-white antbird (Myrmochanes hemileucus) form the sister group to the "gray" forms (represented by Myrmotherula menetriesii, axillaris and behni) and Formicivora rufa. Although the support for nesting Formicivora rufa among the "gray" forms of Myrmotherula is rather weak, it suggests that the generic boundary between Formicivora and "gray" Myrmotherula antwren is far from unambiguously settled. This is also indicated by the recent transfer of the black-hooded antwren from the genus Myrmotherula to Formicivora . Bates et al.  also found a close relationship between Myrmotherula longipennis (belonging to the "gray" form of Myrmotherula antwrens) and the genus Formicivora (Formicivora grisea and Formicivora rufa).
The phylogenetic results support that most antbirds could be divided into two major clades that are in broad agreement with traditional classifications. The first clade includes most antshrike genera, antvireos and the Herpsilochmus antwrens, while the second clade consists of the Myrmeciza antbirds, the "professional" ant-following antbirds, and allied. However, some relationships within these clades, as well as the support for that Terenura antwrens, the wing-banded antbird (Myrmornis torquata), the spot-winged antshrike (Pygiptila stellaris) and the russet antshrike (Thamnistes anabatinus) are basal to all other typical antbirds, are unexpected based on external morphology. Possibly the true affinities of these taxa have been obscured by morphological convergence due to adaptations to new habitats or food sources. Our results also strongly support that both the Myrmeciza antbirds and the Myrmotherula antwrens are unnatural groupings in need for taxonomic revisions. Also certain other taxa may be unnatural units, but definitive conclusions must await future analyses involving more taxa.
Bayes factors seem promising for evaluating the relative contribution of components to an evolutionary model. However, changing a component of the nucleotide substitution model, e.g. adding parameters to model rate variation, had much higher impact on the model likelihood than unlinking parameters among data partition. Thus, even though strong evidence for a model allowing separate topology parameters is found, this might not mean strong evidence for separate gene phylogenies, as long as vital components of the substitution model are still missing.
Taxon sampling, amplification and sequencing
Totally 51 typical antbird species were selected for the molecular analyses, including representatives from 38 genera out of 45 genera recognized by Ridgely and Tudor . From some antbird genera (Myrmeciza, Myrmotherula and Thamnophilus) several species were included, as the monophyly for these genera had been questioned [3, 9, 10]. The phylogenetic trees were rooted using representatives from major furnariid lineages suggested by Irestedt et al. . Sample identifications and GenBank accession numbers are given in Table 3 (see additional file 1).
Nucleotide sequence data were obtained from two nuclear introns, myoglobin intron 2 and the glyceraldehydes-3-phosphodehydrogenase (G3PDH) intron 11, and from the mitochondrial cytochrome b gene. The complete myoglobin intron 2 (along with 13 bp and 10 bp of the flanking regions of exons 2 and 3, respectively) corresponding to the region between positions 303 (exon 2) and 400 (exon 3) in humans (GenBank accession number XM009949) and the complete G3PDH intron 11 (including 36 bp and 18 bp of exons 11 and 12, respectively) corresponding to the region 3915 to 4327 in Gallus gallus (GenBank accession number M11213) were sequenced. From the cytochrome b gene 999 bp were obtained corresponding to positions 15037 to 16035 in the chicken mitochondrial genome sequence . Some indels were observed in the alignments of myoglobin intron 2 and the G3PDH intron 11, respectively (see results), but all gaps in the sequences were treated as missing data in the analyses. No insertions, deletions, stop or nonsense codons were observed in any of the cytochrome b sequences.
Extraction, amplification and sequencing procedures for cytochrome b and myoglobin intron 2 follow the descriptions in Ericson et al.  and Irestedt et al. . A protocol described by Fjeldså et al.  was followed for the amplification and sequencing of the G3PDH intron.
For each gene and taxon, multiple sequence fragments were obtained by sequencing with different primers. These sequences were assembled to complete sequences with SeqMan II™ (DNASTAR inc.). Positions where the nucleotide could not be determined with certainty were coded with the appropriate IUPAC code. Due to a rather low number of insertions in myoglobin intron 2 and G3PDH intron 11 the combined sequences could easily be aligned by eye.
Phylogenetic inference and model selection
We used Bayesian inference and Markov chain Monte Carlo (MCMC) for estimating phylogenetic hypothesis from DNA data (see recent reviews by Holder and Lewis, ; Huelsenbeck et al., ). Bayesian inference of phylogeny aims at estimating the posterior probabilities of trees and other parameters of an evolutionary model. Importantly, two components need to be specified (apart from the data): the model of nucleotide substitution and the prior distributions for the parameters in that model. The models for nucleotide substitutions were selected for each gene individually, prior to the MCMC, and using the Akaike Information Criterion (AIC ). This was done using the program MrModeltest  in conjunction with PAUP* . Specifically, MrModeltest compares 24 standard substitution models, including models allowing rate variation, utilizing the likelihood scores calculated by PAUP* on an initial, approximate phylogeny (see e.g., ).
After models had been selected for the individual gene partitions, prior distributions for the model parameters were specified. For stationary state frequencies, we used a flat Dirichlet prior, Dir(1, 1, 1, 1). A Dirichlet prior, Dir(1, 1, 1, 1, 1, 1) were also used for the nucleotide substitution rate ratios of the general time-reversible model (GTR [52–54]). A Beta distribution, Beta(1, 1), were used for the transition/transversion rate ratio of the Hasegawa-Kishino-Yano model (HKY ). A uniform prior, Uni(0.1, 50), was used on the shape parameter of the gamma distribution of rate variation (Γ ), and a Uni(0, 1) prior was used for the proportion of invariable sites (I ). An exponential prior, Exp(10), were used for branch lengths, and all trees were assumed to be equally likely (flat prior on topology).
The posterior probabilities of trees and parameters in the substitution models were approximated with MCMC and Metropolis coupling using the program MrBayes . The gene partitions were analyzed both separately and combined. In the combined analysis, each gene partition was allowed to have separate parameters by using a rate multiplier [27, 58, 59]. One cold and three incrementally heated chains were run for 3 million generations, with a random starting tree and a temperature parameter value of 0.2. Trees were sampled every 100th generations, and the trees sampled during the burn-in phase (i.e., before the chain had reached its apparent target distribution) were discarded. Two runs, starting from different, randomly chosen trees, were made to ensure that the individual runs had converged on the same target distribution . Convergence of parameters was checked by examining parameter means and variances between runs. After checking for convergence, final inference was made from the concatenated output from the two runs.
A Bayesian test of incongruence
Bayesian methods provide us ways not only to estimate posterior probabilities for trees and parameters in a model, but also to evaluate the model itself. Bayes factors , allow us to make sophisticated comparisons between models used in phylogenetic analyses [27, 62, 63]. Bayes factors measure the strength of evidence in favor of one model M1 compared to another M2, given the data X, and is calculated as the ratio of the model likelihoods, B12 = f(X|M1)/ f(X|M2). The model likelihoods f(X|M i ) are difficult to calculate analytically but can be estimated by using the output from an MCMC [27, 62].
Here we explore the congruence test described by Nylander et al. , which utilizes Bayes factors. The test is not a significance test but merely compares the strength of evidence between two models of character evolution. In the first model, data partitions are allowed to have their own unique set of substitution parameters, but we assume the data as having evolved on the same topology, but with partition-specific branch lengths. Strictly speaking, we are restricting the data partitions to have the same posterior distribution for topologies, but (potentially) different distributions in all other parameters. In the second model we relax the assumption of a single distribution of topologies for all data partitions. That is, if the data partitions (genes) truly evolved on different phylogenies, they are allowed to do so in the model. The comparison or 'test' is to see if the second model provides compelling evidence as to be accepted as superior. Here we use the log of the Bayes factor and a value of >10 for 2 logB12 have been suggested as strong evidence against the alternative model, M2 .
To accomplish the incongruence test we utilized the unlink command in MrBayes, which allows the user to let parameters as well as topologies to be unlinked between partitions. We calculated Bayes factors and compared the effects on the model likelihood when linking or unlinking topologies between all the gene partitions. We were primarily interested in the potential incongruence between the mitochondrial cytochrome b partition and the two nuclear partitions myoglobin and G3PDH, but all combinations of the three genes in our data set were examined.
For comparison, we also tested whether the different gene partitions were in significant conflict with each other by using the parsimony based incongruence-length differences test (ILD) , implemented in PAUP* . The results are based on 10,000 replicates, with ten iterations (random additions of taxa) per replicate.
Irestedt M, Fjeldså J, Johansson US, Ericson PGP: Systematic relationships and biogeography of the tracheophone suboscines (Aves: Passeriformes). Mol Phyl Evol. 2002, 23: 499-512. 10.1016/S1055-7903(02)00034-9.
Zimmer KJ, Isler ML: Family Thamnophilidae (Typical antbirds). In Handbook of the birds of the World. Broadbills to Tapaculos. Edited by: del Hoyo J, Elliott A, Christie DA. 2003, Barcelona: Lynx Edicions, 8: 1
Ridgely RS, Tudor G: The Birds of South America. 1994, Austin: University of Texas Press, II:
Heimerdinger MA, Ames PL: Variation in sternal notches of suboscine passeriform birds. Postilla. 1967, 105: 1-44.
Ames PL, Heimerdinger MA, Warter SL: The anatomy and systematic position of the antpipits Conopophaga and Corythopis. Postilla. 1968, 114: 1-32.
Ames PL: The morphology of the syrinx in passerine birds. Bull Peabody Mus Nat Hist. 1971, 37: 1-194.
Sibley CG, Ahlquist JE: Phylogeny and Classification of the Birds of the World. 1970, New Haven: Yale University Press
Irestedt M, Johansson US, Parsons TJ, Ericson PGP: Phylogeny of major lineages of suboscines (Passeriformes) analysed by nuclear DNA sequence data. J Avian Biol. 2001, 32: 15-25. 10.1034/j.1600-048X.2001.320103.x.
Bates JM, Hackett SJ, Goerck JM: High levels of mitochondrial DNA differentiation in two lineages of antbirds Drymophila and Hypocnemis. Auk. 1999, 116: 1093-1106.
Hackett SJ, Rosenberg KV: Comparison of phenotypic and genetic differentiation in South American antwrens (Formicariidae). Auk. 1990, 107: 473-489.
Bierregaard RO, Cohn-Haft M, Stotz DF: Cryptic biodiversity: an overlooked species and new subspecies of antbirds (Aves: Formicariidae) with a revision of Cercomacra tyrannina in northeastern South America. In Studies in Neotropical Ornithology Honoring Ted Parker. Edited by: Remsen JV. 1997, Washington, D.C.: Orn. Mon. 48. American Ornithologist's Union, 111-128.
Isler ML, Isler PR, Whitney BM: Use of vocalizations to establish species limits in antbirds (Passeriformes: Thamnophilidae). Auk. 1998, 115: 577-590.
Isler ML, Isler PR, Whitney BM: Species limits in antbirds (Passeriformes: Thamnophilidae): The Myrmotherula complex. Auk. 1999, 116: 83-96.
Isler ML, Isler PR, Whitney BM, Walker B: Species limits in antbirds: the Thamnophilus punctatus complex continued. Condor. 2001, 103: 278-286.
Pacheco JF: Black-hooded Antwren Formicivora [Myrmotherula] erythronotos rediscovered in Brazil. Bull Brit Ornithol Club. 1988, 108: 179-182.
Moore WS: Inferring phylogenies from mtDNA variation: Mitochondrial-gene trees versus nuclear-gene trees. Evolution. 1995, 49: 718-726.
Maddison WP: Gene trees in species trees. Syst Biol. 1997, 46: 523-536.
Mindell DP: Avian molecular evolution and systematics. 1997, California, San Diego Academic press
Barrett M, Donoghue MJ, Sober E: Against consensus. Syst Zool. 1991, 40: 486-493.
Kluge AG: A concern for evidence and phylogenetic hypothesis relationships among Epicrates (Boidae, Serpentes). Zyst Zool. 1989, 38: 7-25.
Bull JJ, Huelsenbeck J, Cunningham CW, Swofford DL, Waddell PJ: Partitioning and combing data in phylogenetic analysis. Syst Biol. 1993, 42: 384-397.
Miyamoto MM, Fitch WM: Testing species phylogenies and phylogenetic methods with congruence. Syst Biol. 1995, 44: 64-76.
Yang Z: Maximum-likelihood models for combined analyses of multiple sequence data. J Mol Evol. 1996, 42: 587-596.
Pupko T, Huchon D, Cao Y, Okada N, Hasegawa M: Combining multiple data sets in a likelihood analysis: Which models are the best?. Mol Biol Evol. 2002, 19: 2294-2307.
Buckley TR, Arensburger P, Simon C, Chambers GK: Combined data, Bayesian phylogenetics, and the origin of the New Zealand cicada fauna. Syst Biol. 2002, 51: 4-18. 10.1080/106351502753475844.
Suchard MA, Kitchen CMR, Sinsheimer JS, Weiss RE: Hierarchical phylogenetic models for analyzing multipartite sequence data. Syst Biol. 2003, 52: 649-664. 10.1080/10635150390238879.
Nylander JA, Ronquist F, Huelsenbeck JP, Nieves-Aldrey JL: Bayesian phylogenetic analysis of combined data. Syst Biol. 2004, 53: 47-67. 10.1080/10635150490264699.
Degnan SM, Moritz C: Phylogeography of mitochondrial DNA in two species of white-eyes in Australia. Auk. 1992, 109: 800-811.
Degnan SM: The perils of single gene trees – mitochondrial versus single-copy nuclear DNA variation in white-eyes (Aves: Zosteropidae). Mol Ecol. 1993, 2: 219-225.
Yang Z, Goldman N, Friday A: Comparison of models for nucleotide substitution used in maximum-likelihood phylogenetic estimation. Mol Biol Evol. 1994, 11: 316-324.
Yang Z: Among-site rate variation and its impact on phylogenetic analyses. Tree. 1996, 11: 367-372. 10.1016/0169-5347(96)10041-0.
Yoder AD, Irwin JA, Payseur BA: Failure of the ILD to determine data combinability for slow loris phylogeny. Syst Biol. 2001, 50: 408-424. 10.1080/106351501300318003.
Suchard MA, Weiss RE, Sinsheimer JS, Dorman KS, Petel M, McCabe ERB: Evolutionary similarity among genes. J Amer Statistical Assoc. 2003, 98: 653-662. 10.1198/016214503000000558.
Ridgway R:The birds of North and Middle America. Part 5. U S Nat Mus Bull. 1911, 50: 1-859.
Christidis L, Schodde R, Baverstock PR: Genetic and morphological differentiation and phylogeny in the Australo-Papuan scrubwrens (Sericornis, Acanthizidae). Auk. 1988, 105: 616-629.
García-Moreno J, Fjeldså J: Phylogeny and re-evaluation of species limits in the genus Atlapetes based on mtDNA sequence data. Ibis. 1999, 141: 91-207.
Omland KE, Lanyon SM: Reonstructing plumage evolution in Orioles (Icterus): Repeated convergence and reversal patterns. Evolution. 2000, 2119-2133.
Cibois A, Slikas B, Schulenberg TS, Pasquet E: An endemic radiation of Malagasy songbirds is revealed by mitochondrial DNA sequence data. Evolution. 2001, 55: 1198-1206.
James HF, Ericson PGP, Slikas B, Lei FM, Gill FB, Olson SL: Pseudopodoces humilis, a misclassified terrestrial tit (Aves: Paridae) of the Tibetan Plateau: evolutionary consequences of shifting adaptive zones. Ibis. 2003, 145: 185-202.
Paton TA, Baker AJ, Groth JG, Barrowclough GF: RAG-1 sequences resolve phylogenetic relationships within Charadriiform birds. Mol Phyl Evol. 2003, 29: 268-278. 10.1016/S1055-7903(03)00098-8.
Tostain O, Dujardin JL: Nesting of the wing-banded Antbirds and the thrush-like Antpitta in the French Guiana. Condor. 1988, 90: 236-239.
Remsen JV, Traylor MA, Parker KC: Range extension for some Bolivian Birds, 2 (Columbidae to Rhinocryptidae). Bull Brit Ornithol Club. 1986, 106: 22-32.
Desjardins P, Morais R: Sequence and gene organization of the chicken mitochondrial genome: A novel gene order in higher vertebrates. J Mol Biol. 1990, 212: 599-634.
Ericson PGP, Christidis L, Irestedt M, Norman JA: Systematic affinities of the lyrebirds (Passeriformes: Menura), with a novel classification of the major groups of passerine birds. Mol Phyl Evol. 2002, 25: 53-62. 10.1016/S1055-7903(02)00215-4.
Fjeldså J, Zuccon D, Irestedt M, Johansson US, Ericson PGP: Sapayoa aenigma : a New World representative of 'Old World suboscines'. Proc R Soc Lond B(Suppl). 2003, 270: 238-241.
Holder M, Lewis PO: Phylogeny estimation: Traditional and Bayesian approaches. Nature Genetics. 2003, 4: 275-284. 10.1038/nrg1044.
Huelsenbeck JP, Ronquist F, Nielsen R, Bollback JP: Reverend Bayes meets Darwin: Bayesian inference of phylogeny and its impact on evolutionary biology. Science. 2001, 288: 2349-2350. 10.1126/science.288.5475.2349.
Akaike H: Information theory as an extension of the maximum likelihood principle. In Second International Symposium on Information Theory. Edited by: Petrov BN, Csaki F. 1973, Budapest: Akademiai Kiado, 267-281.
Nylander JAA: MrModeltest v.1.0. Program distributed by the author. Department of Systematic Zoology, Uppsala University, Uppsala. 2002, [http://www.ebc.uu.se/systzoo/staff/nylander.html]
Swofford DL: PAUP*. Phylogenetic analysis using parsimony (*and other methods). version 4. Sunderland, Massachusetts: Sinauer Associates. 1988
Posada D, Crandall KA: MODELTEST: testing the model of nucleotide substitution. Bioinformatics. 1998, 14: 817-818. 10.1093/bioinformatics/14.9.817.
Lanave C, Preparata G, Saccone C, Serio G: A new method for calculating evolutionary substitution rates. J Mol Evol. 1984, 20: 86-93.
Rodríguez OJL, Marín A, Medina R: The general stochastic model of nucleotide substitution. J Theor Biol. 1990, 142: 485-501.
Tavaré S: Some probabilistic and statistical problems on the analysis of DNA sequences. Lec Math Life Sci. 1986, 17: 57-86.
Hasegawa M, Kishino H, Yano T: Dating of the human-ape splitting by a molecular clock of mitochondrial DNA. J Mol Evol. 1985, 21: 160-174.
Yang Z: Maximum likelihood phylogenetic estimation from DNA sequences with variable rates over sites: Approximate methods. J Mol Evol. 1994, 39: 306-314.
Gu X, Fu YX, Li WH: Maximum likelihood estimation of the heterogeneity of substitution rate among nucleotide sites. Mol Biol Evol. 1995, 12: 546-557.
Ronquist F, Huelsenbeck JP: MRBAYES 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.
Yang Z: Maximum likelihood models for combined analyses of multiple sequence data. J Mol Evol. 1996, 42: 587-596.
Huelsenbeck JP, Larget B, Miller RE, Ronquist F: Potential applications and pitfalls of Bayesian inference of phylogeny. Syst Biol. 2002, 51: 673-688. 10.1080/10635150290102366.
Kass RE, Raftery AE: Bayes factors. J Am Stat Assoc. 1995, 90: 773-795.
Aris-Brosou S, Yang Z: Effects of models of rate evolution on estimation of divergence dates with special reference to the metazoan 18S ribosomal RNA phylogeny. Syst Biol. 2002, 51: 703-714. 10.1080/10635150290102375.
Huelsenbeck JP, Imennov NS: Geographic origin of human mitochondrial DNA: Accommodating phylogenetic uncertainty and model comparison. Syst Biol. 2002, 51: 155-165. 10.1080/106351502753475934.
Farris JS, Källersjö M, Kluge AG, Bult C: Constructing a significance test for incongruence. Syst Biol. 1995, 44: 570-572.
Johansson US, Irestedt M, Parsons TJ, Ericson PGP: Basal phylogeny of the Tyrannoidea based on comparisons of cytochrome b and exons of nuclear c-myc and RAG-1 genes. Auk. 2002, 119: 984-995.
Fjeldså J, Irestedt M, Ericson PGP: Molecular data reveal some major adaptational shifts in the early evolution of the most diverse avian family, the Furnariidae. J Ornithology. 2004,
We are grateful to many people and institutions that have been involved in this work. Most tissue and blood samples were obtained from the Zoological Museum, University of Copenhagen (ZMUC) and the Swedish Museum of Natural History. Support to expeditions where tissue samples were acquired and stored at the ZMUC, was provided over many years by the Danish Natural Research Council (mainly grants 11-0380 and 9502155). Many samples at the Swedish Museum of Natural History were collected in Paraguay in collaboration with the Museo Nacional de Historia Natural del Paraguay, San Lorenzo. Important samples have also been obtained from the Field Museum, Chicago (Shannon Hackett, David E. Willard), Museum of Natural Science, Louisiana State University (Donna Dittman), and the American Museum of Natural History, New York (Paul Sweet). Jan Ohlson and Niels Krabbe are thanked for commenting on the manuscript. Mari Källersjö provided logistic support and advice for the work at the Molecular Systematics Laboratory at the Swedish Museum of Natural History, and Dario Zuccon is thanked for practical support at the laboratory. The Swedish Research Council (grant no. 621-2001-2773 to P.E.) funded the laboratory work. Computational facilities were provided by Mikael Thollesson and the Linnaean Center of Bioinformatics, Uppsala.
MI designed the study, carried out the labwork, participated in the phylogenetic analyses, and drafted the manuscript. JF assisted with the design of the study and with the draft of the manuscript. JN performed the phylogenetic analyses, drafted parts of the results, and material and methods section of the manuscript. PE conceived the study. All authors read and approved the manuscript.