Skip to main content
Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2006 Oct 2;103(41):15118–15123. doi: 10.1073/pnas.0604033103

The history of early bee diversification based on five genes plus morphology

Bryan N Danforth 1,, Sedonia Sipes 1,, Jennifer Fang 1,§, Seán G Brady 1,
PMCID: PMC1586180  PMID: 17015826

Abstract

Bees, the largest (>16,000 species) and most important radiation of pollinating insects, originated in early to mid-Cretaceous, roughly in synchrony with the angiosperms (flowering plants). Understanding the diversification of the bees and the coevolutionary history of bees and angiosperms requires a well supported phylogeny of bees (as well as angiosperms). We reconstructed a robust phylogeny of bees at the family and subfamily levels using a data set of five genes (4,299 nucleotide sites) plus morphology (109 characters). The molecular data set included protein coding (elongation factor-1α, RNA polymerase II, and LW rhodopsin), as well as ribosomal (28S and 18S) nuclear gene data. Analyses of both the DNA data set and the DNA+morphology data set by parsimony and Bayesian methods yielded a single well supported family-level tree topology that places Melittidae as a paraphyletic group at the base of the phylogeny of bees. This topology (“Melittidae-LT basal”) is significantly better than a previously proposed alternative topology (“Colletidae basal”) based both on likelihood and Bayesian methods. Our results have important implications for understanding the early diversification, historical biogeography, host–plant evolution, and fossil record of bees. The earliest branches of bee phylogeny include lineages that are predominantly host–plant specialists, suggesting that host–plant specificity is an ancestral trait in bees. Our results suggest an African origin for bees, because the earliest branches of the tree include predominantly African lineages. These results also help explain the predominance of Melittidae, Apidae, and Megachilidae among the earliest fossil bees.

Keywords: bee phylogeny, bee evolution, molecular evolution, molecular systematics, coevolution


Angiosperms (flowering plants), with an estimated 250,000–260,000 species (1), represent the largest and most diverse lineage of vascular plants on earth. To Darwin, the rapid emergence and early diversification of the angiosperms was an “abominable mystery” (ref. 2 and refs. therein). Among the most important traits attributable to the explosive radiation of the angiosperms is animal-mediated pollination (37). Insects are by far the most important animal pollinators (≈70% of angiosperm species are insect pollinated; ref. 8) and among insects, bees are the most specialized and important pollinator group. All of the >16,000 species of bees living today (9) rely virtually exclusively on angiosperm products, including pollen and nectar for adult and larval nutrition (10), floral oils for larval nutrition (11, 12), floral waxes and perfumes that serve as sexual attractants (13), and resins for nest construction (14). Bees are morphologically adapted to collecting, manipulating, carrying, and storing pollen and other plant products (15, 16), and many bee species are specialists on one or a few closely related host plants (10).

One step toward resolving Darwin's “abominable mystery” is to develop a better understanding of the role that bees played in the evolutionary history and diversification of the angiosperms. A robust phylogeny of bees would allow us to infer attributes of the early bees and to reconstruct the types of interactions that existed between the earliest bees and their angiosperm hosts. Higher-level (family- and subfamily-level) bee phylogeny is poorly understood. Currently, bees are divided into seven extant families: the long-tongued (LT) bee families Megachilidae and Apidae and the short-tongued (ST) bee families Colletidae, Stenotritidae, Andrenidae, Halictidae, and Melittidae sensu lato (s.l.) (9). Colletidae is widely considered the most basal family of bees (i.e., the sister group to the rest of the bees), because all females and most males possess a glossa (tongue) with a bifid (forked) apex, much like the glossa of an apoid wasp (1822).

However, several authors have questioned this interpretation (9, 2327) and have hypothesized that the earliest branches of bee phylogeny may have been either Melittidae s.l., LT bees, or a monophyletic group consisting of both. The most recent morphological analysis of family-level phylogeny in bees (17) obtained two different tree topologies based on alternative coding of relatively few mouthpart characters. One tree topology places Colletidae as sister to the rest of the bees (“Colletidae basal”), whereas the other places Melittidae s.l.+LT bees as sister to the rest of the bees (“Melittidae-LT basal”). The major difference between the Colletidae basal and Melittidae-LT basal topologies involves the placement of the root node of bees (27). Placing the root between Colletidae and the rest of the bees yields the Colletidae basal topology, whereas placement of the root node near or within Melittidae s.l. yields the Melittidae-LT basal topology. The biological implications of these alternative topologies are radically different. The Colletidae basal topology implies an Australian and/or South American origin for bees and suggests the earliest bees were a mix of floral generalists and specialists. Melittidae-LT basal implies an African origin for bees and indicates that the earliest bees were likely to have been floral specialists. These alternative topologies also have implications for understanding the fossil record and antiquity of bees.

To resolve the root node of bees, we combined >4,000 bp of DNA sequence data with the previous morphological data set of Alexander and Michener (17). We report here the results of an analysis of the largest molecular and morphological study to date on bee family-level phylogeny. Our analyses provide insights into the phylogeny, historical biogeography, host–plant associations, and fossil record of bees.

Results

Our data set consisted of a total of 4,299 total aligned nucleotide sites {1,648 parsimony informative sites [elongation factor-1α; 1,141 total aligned nucleotide sites, 438 parsimony informative sites); RNA polymerase II (889 total aligned nucleotide sites, 300 parsimony informative sites); LW rhodopsin (716 total aligned nucleotide sites, 362 parsimony informative sites); 28S rDNA (772 total aligned nucleotide sites, 448 parsimony informative sites); and 18S rDNA (781 total aligned nucleotide sites, 100 parsimony informative sites)] plus 109 morphological characters (104 parsimony informative characters; see Table 2, which is published as supporting information on the PNAS web site)}. Introns for both EF-1α (two introns) and opsin (three introns) were excluded from the analysis, because alignments were ambiguous.

Parsimony Analyses.

DNA data.

When the combined five-gene data set was analyzed by equal-weight parsimony, we obtained one tree of 17,284 steps. This tree recovered monophyly of the bees and all bee families excluding Melittidae s.l. (Fig. 1, Table 1). Melittidae s.l. appears as a basal paraphyletic group relative to the other bees (Fig. 1). The basal branch of the bees appears to be the “melittid” subfamily Dasypodainae (Dasypodaidae). Bootstrap analysis indicates that monophyly of several families is well supported by our data, including Megachilidae (100% bootstrap support), Apidae (92% bootstrap support), Andrenidae (99% bootstrap support), Colletidae (100% bootstrap support), and Halictidae (100% bootstrap support). Relationships among the ST bee families (excluding Melittidae s.l.) were also well supported. Stenotritidae is unambiguously sister to Colletidae (99% bootstrap support), Halictidae forms the sister group to Stenotritidae+Colletidae (90% bootstrap support), and Andrenidae forms the sister group to these three families (64% bootstrap support). Overall, the parsimony results support a highly derived position for Colletidae and a basal position for Melittidae s.l. Manipulations of the outgroup topology (e.g., constraining bees to be the sister group to Crabronidae) and exclusion of outgroups did not alter the topology within the bees.

Fig. 1.

Fig. 1.

Equal weights of parsimony analysis of five genes combined (with gaps coded as a fifth state) plus morphology. Bootstrap values above the nodes are for the DNA+morphology analysis; bootstrap values below the nodes are for the analysis of the DNA data alone. Families are color-coded. The clade united by the presence of a hemicryptic midcoxa is indicated by the black dot.

Table 1.

Summary of support measures (parsimony bootstrap values and Bayesian posterior probabilities) for different bee lineages

Clade Parsimony DNA data Parsimony + morphology K2P + I + G post. prob. HKY + I + G post. prob. GTR + G post. prob. GTR + I + G post. prob. GTR + SYM post. prob.
Apiformes (bees) 96 100 100 100 100 100 100
Dasypodaidae 100 100 100 100 100 100 100
Melittidae (s.s.) 88 77 100 100 100 100 100
Melittidae + Meganomiidae 98 99 100 100 100 100 100
Melittidae/Meganomiidae + all others 90 86 52 61 83 81 78
LT bees 84 100 100 100 100 100 100
Megachilidae 100 100 100 100 100 100 100
Apidae 92 94 100 100 100 100 100
LT bees + Andrenidae + Halictidae + Stenotritidae + Colletidae 86 78 98 100 100 100 98
Andrenidae 99 99 100 100 100 100 100
Andreninae 100 100 100 100 100 100 100
Panurginae 100 100 100 100 100 100 100
Panurginae + Oxaeinae NA NA 100 100 100 98 100
Andrenidae + Halictidae +Stenotritidae + Colletidae 64 87 100 100 100 100 100
Halictidae 100 100 100 100 100 100 100
Halictinae 72 79 100 100 100 100 100
Rophitinae 100 100 100 100 100 100 100
Halictidae + Stenotritidae + Colletidae 90 91 100 100 100 100 100
Stenotritidae + Colletidae 99 98 100 100 100 100 100
Colletidae 100 100 100 100 100 100 100
Arithmetic mean − ln (burnin = 2000) −74,130.22 −74,011.09 −74,569.35 −73,940.96 −73,936.85
Harmonic mean − ln (burnin = 2000) −74,192.73 −74,076.42 −74,637.03 −74,006.94 −74,005.60

Posterior probabilities (post. prob.) calculated based on the last 8,000 trees from each analysis. K2P, Kimura two-parameter; HKY, Hasegawa–Kishino–Yano; NA, not applicable.

DNA data plus morphology.

Addition of morphology to the molecular data set did not alter the relationships among families obtained in the combined molecular data set (Fig. 1). However, inclusion of morphological data did alter relationships among the subfamilies of Colletidae. Examination of bootstrap values (Fig. 1, Table 1) indicates that morphology increases overall levels of bootstrap support in the tree. In particular, morphology adds support to LT bee monophyly.

Bayesian Analyses.

Results of the Bayesian analyses were largely congruent with the parsimony results (Fig. 2). Analysis of the data set with the model preferred by MrModelTest Ver. 2.2 [general time reversible (GTR)+SYM[18s] + gamma distribution plus a proportion of invariant sites (I+G)] as well as the most complex model (GTR+I+G with separate gamma distributions and a separate proportion of invariant sites for each gene) yielded well supported trees (Fig. 2). All families (excluding Melittidae s.l.) are supported by posterior probabilities of 100%. Relationships among the families are identical to the parsimony results, with Melittidae s.l. forming a paraphyletic assemblage from which the other bees arose. Most basal nodes in the tree are well supported, although monophyly of the bees, excluding Dasypodaidae, is not strongly supported in the Bayesian analyses (Fig. 2, Table 1). Analyses with alternative models (Table 1) yielded largely congruent results. Our results strongly support the Melittidae-LT basal hypothesis. None of the multiple analyses of the combined data sets or any analyses of the individual gene data sets supported the Colletidae basal hypothesis.

Fig. 2.

Fig. 2.

Bayesian analysis of five genes combined. Posterior probabilities for the GTR+SYM[18s]+I+G model (the preferred model) are shown above the branches, and posterior probabilities for the GTR+I+G model are shown below the branches. Bayesian posterior probabilities are based on the last 8,000 trees of each analysis. Families are color-coded. The clade united by the presence of a hemicryptic midcoxa is indicated by the black dot.

Hypothesis Testing Using Maximum Likelihood and the Bayes Factor.

Using the Kishino–Hasegawa (28, 29) and Shimodaira–Hasegawa (30) tests, as implemented in PAUP*, we detected significant support for the Melittidae-LT basal hypothesis over the Colletidae basal hypothesis (Table 3, which is published as supporting information on the PNAS web site). The difference in −ln likelihood for the two tests was 44.04, and the Colletidae-basal hypothesis could be rejected with P < 0.05.

Using the constraint option in MrBayes Ver. 3.1.2, we calculated the harmonic mean of the −ln likelihood values for an unconstrained tree (Melittidae-LT basal) and the tree constrained to Colletidae-basal. The harmonic mean of the −ln likelihood of the last 8,000 trees from the constrained analysis (Colletidae-basal) was −74,052.54. The corresponding harmonic mean for the unconstrained analysis (Melittidae-LT basal) was −74,005.60; twice the difference is 85.64. A value of 6–10 is strong support, and a value of >10 is very strong support for the alternative model (31). Our results provide very strong support for the Melittidae-LT basal hypothesis. This conclusion is consistent with the maximum likelihood results (above).

Discussion

This study establishes phylogenetic relationships among bee families and subfamilies with high levels of support. Our results unambiguously support the Melittidae-LT basal topology (Figs. 1 and 2; see Fig. 3, which is published as supporting information on the PNAS web site). The Colletidae basal topology is more widely accepted because of the perception that the bifid glossa of Colletidae is a plesiomorphic trait shared with apoid wasps. This hypothesis appears in numerous publications but is rarely supported by characters other than the overall appearance of the glossa (1822). Although a number of morphological studies have questioned the Colletidae basal hypothesis (2326), the morphological support for the Melittidae-LT basal hypothesis has been largely overlooked in the bee phylogenetic literature. Among the most convincing morphological characters that support the tree presented herein is the morphology of the midcoxa. Michener (32) discovered that in apoid wasps, Melittidae s.l., and LT bees, the midcoxa is exposed, whereas in the remaining ST bee families, the upper portion of the midcoxa is internal and hidden beneath the mesopleuron (a condition described as “hemicryptic”). The hemicryptic condition is a unique and unreversed character congruent with monophyly of Andrenidae, Halictidae, Colletidae, and Stenotritidae (Figs. 1 and 2), thus strongly supporting the Melittidae-LT basal topology.

Implications for Bee Historical Biogeography and Host–Plant Evolution.

Melittidae-LT basal topology substantially alters prevailing hypotheses of bee phylogeny, biogeography, evolution, and early diversification. The hypothesis that Melittidaes s.l. represents the earliest branch(es) of bee phylogeny suggests an African rather than an Australian or South American origin for the bees. Melittidae s.l. is absent from Australia and South America, and Africa is the only continent where all major lineages (e.g., families) of Melittidae s.l. occur (20). Meganomiidae are restricted to Africa, and for Dasypodaidae and Melittidae sensu stricto (s.s.), Africa is the continent that hosts the greatest number of genera and species. Based on this distribution, Michener (20) hypothesized an African origin for all families of Melittidae s.l. Given their placement in our phylogenetic trees, this would suggest an African origin for bees in general. Disjunct biogeographic distributions in some “melittid” genera, such as Hesperapis (in the Dasypodaidae; ref. 9), provide further support for the antiquity of this group.

The placement of a paraphyletic Melittidae s.l. at the base of the phylogeny also supports the view that the earliest bees were narrow host–plant specialists. Host–plant specialization is widespread among the melittids as well as among many basal lineages in other families, including Rophitinae (Halictidae), Andreninae and Panurginae (Andrenidae), Colletinae (Colletidae), and Fideliinae (Megachilidae). Most species in Melittidae s.s. and Dasypodaidae are well known to be host–plant specialists. Female Hesperapis oraria, for example, are monolectic and forage for pollen exclusively on Balduina angustifolia (Asteraceae; ref. 33). Female H. trochanterata forage exclusively on plants in the genus Nama (Boraginaceae) and have elongate slender heads with specialized hairs on the mouthparts for extracting pollen from the tubular flowers (34). Other species of Hesperapis specialize on a small number of closely related host–plant species within diverse angiosperm families, including Polemoniaceae, Rosaceae, Zygophyllaceae, Onagraceae, Papaveraceae, Fabaceae, and Malvaceae. Host–plant specialization is widespread within Melittidae s.s., including Melitta, Rediviva, Redivivoides, and Macropis. All species of Macropis are narrow host–plant specialists on oil-producing plants in the genus Lysimachia (Primulaceae; ref. 35), and all species possess modified legs for collecting and manipulating viscous floral oils. Species of Rediviva are involved in an intimate host–plant association with plants in the oil-producing genus Diascia (Scrophulariaceae), in which variation in floral spur length in the host plants is paralleled by variation and extreme exaggeration in foreleg length in bees (36, 37). Given the placement of Melittidae s.l. as a paraphyletic group at the base of the tree, our results indicate that host–plant specialization is the primitive state for bees.

Implications for Understanding the Bee Fossil Record.

The Melittidae-LT basal hypothesis may help explain the chronological appearance of bee families in the fossil record. If the Colletidae basal topology were indeed correct, one of the most puzzling aspects of the bee fossil record would be the abundance of Melittidae s.l., Apidae, and Megachilidae in the oldest deposits, such as Eocene (Baltic) amber (22, 38) and Cretaceous amber from New Jersey (3941). Among the bees in Baltic amber deposits, 15 of 18 described genera are LT bees (Apidae and Megachilidae; ref. 22). Melittid bees are also well represented in the Eocene both from Baltic amber (Eomacropis; ref. 22) and French Eocene amber (Paleomacropis; ref. 38). The oldest fossil bee, Cretotrigona prisca, is an apid bee closely related to extant stingless bees (Meliponini; refs. 3941). In contrast, ST bee families, such as Halictidae, are much less well represented in the Eocene, and representatives of Andrenidae and Colletidae are completely absent in the fossil record up until the Miocene (42, 43). The high proportion of Melittidae s.l. and LT bees in the Eocene fossil deposits has generally been interpreted as an artifact because of the poor fossil record of bees and possibly a bias toward resin collecting bees, most of which are LT bees (44). However, if one accepts the Melittidae-LT basal hypothesis, Melittidae s.l., Megachilidae, and Apidae represent early branches in the phylogeny of the bees and are therefore relatively old compared with some families of ST bees, such as Halictidae, Colletidae, and Stenotritidae.

Materials and Methods

Data Sets Analyzed.

Molecular data.

We generated a data set based on five nuclear genes that have previously shown promise for resolving deep divergences in insects and other arthropods: elongation factor-1α (45), RNA polymerase II (27), LW rhodopsin (46), 28S rDNA (47), and 18S rDNA (48). PCR and sequencing protocols followed standard methods detailed in Danforth et al. (27, 49, 50). PCR products were gel-purified overnight on low-melting-point agarose gels, and bands were extracted by using the Promega Wizard PCR purification system (Promega, Madison, WI). All PCR products were sequenced in both directions. Sequencing was performed by using an Applied Biosystems (Surrey, U.K.) Automated 3730 DNA Analyzer. We used Big Dye Terminator chemistry and AmpliTaq-FS DNA polymerase.

Morphological data.

We obtained 109 morphological characters from a previous study of family-level phylogenetic relationships in bees (17). Characters were treated as unordered and of equal weight. Coding of characters followed the Series I codings of Alexander and Michener (17). This is the coding method that supports the Colletidae basal topology.

Phylogenetic Methods and Taxon Sampling.

We included a total of 94 species (14 apoid wasp outgroups and 80 bee ingroups; Table 4, which is published as supporting information on the PNAS web site) representing all seven families of bees and all 21 of the currently recognized subfamilies (9). Our taxon sampling was extensive and included representatives of three previously recognized bee families (Oxaeidae, Ctenoplectridae, and Fideliidae). We focused particular attention on sampling within the five ST bee families and in particular in the two families previously considered to be potentially the most basal lineages of bees: Colletidae and Melittidae s.l. Sampling within Melittidae s.l. was considered particularly important, because this family is not clearly monophyletic (17). The only melittid tribe lacking from our data set is Promelittini.

Outgroups included representatives of two of the four apoid wasp families, Crabronidae and Sphecidae (51). Voucher specimens are deposited in the Cornell University Insect Collection. Complete locality data, GenBank accession nos., and our combined data set are available Table 4. Our data set is deposited in TreeBASE (www.treebase.org/treebase/index.html) as submission nos. M2878 and S1599.

Alignments for all genes were generated in the Lasergene DNAStar (Madison, WI) software package using Clustal W. LW rhodopsin presented particular problems for sequencing as well as alignment because of pronounced variation in the lengths of introns I and III within Colletidae. Long introns in some subfamilies (e.g., Euryglossinae, Hylaeinae, and Xeromelissinae) required manual alignments or exclusion of introns. Alignments for the 28S D2–D4 region were adjusted by eye, and some unalignable regions were excluded from the analysis. Reading frames and intron/exon boundaries were determined by comparison with sequences obtained for the honeybee, Apis mellifera.

Parsimony methods.

We performed maximum parsimony analyses using PAUP* Ver. 4.0b10 (52). Initially, we performed equal-weight parsimony analyses on each of the six data sets separately and then combined the data sets into a single analysis. Branch support for the individual data sets as well as the combined data set was estimated by using bootstrap analysis (53). For parsimony searches, we performed 500 random sequence additions. For calculating bootstrap proportions, we performed 500 replicates with 10 random sequence additions per replicate.

Bayesian methods.

Analysis of individual gene partitions by MrModelTest Ver. 2.2 (54) indicated that the GTR+I+G model was the most appropriate for EF-1α, 28S, opsin, and pol II, and that the SYM+I+G model was the most appropriate for the 18S data set. The only difference between the two models is that GTR allows empirical base frequencies, whereas SYM assumes equal base frequencies (55). The 18S data showed little evidence of base-compositional bias (Table 2). We thus applied a model in which GTR+I+G was applied to EF-1α, 28S, opsin, and pol II, whereas a SYM+I+G model was applied to the 18S data set (referred to as the GTR+SYM[18s]+I+G model). In addition, we explored alternative models to evaluate the robustness of the data set to model choice.

For the Bayesian analyses, we used MrBayes Ver. 3.1.2 (refs. 56 and 57). We analyzed the combined data set using a range of models including the Kimura two-parameter, Hasegawa–Kishino–Yano, SYM (55), and GTR models (58). Various among-site rate variation models were used to account for rate variation among genes and codon positions, including gamma distribution (G) as well as I+G. For all analyses, we treated the separate genes as “unlinked,” so that separate parameter estimates were obtained for each gene for all runs. We ran two simultaneous runs with four chains each for 1 × 106 generations and sampled trees every 100 generations. Plots of the −ln likelihood scores over generation time showed that stable parameter estimates were obtained after ≈1,000 trees.

Hypothesis testing.

To compare our results with the previous family-level phylogenies of bees, we used both maximum likelihood and Bayesian methods. Maximum likelihood methods involved both the Kishino–Hasegawa (28, 29) and Shimodaira–Hasegawa (30) tests, as implemented in PAUP*. These tests are appropriate, because the two alternative hypotheses (Colletidae basal vs. Melittidae-LT basal) were proposed previously based on the morphological analysis of Alexander and Michener (17). We implemented these tests by first constraining the tree topology to one or the other topology and then performing a one-tailed test of significance. We used 1,000 bootstrap replicates and the RELL approximation and applied a single GTR+I+G model across all five gene partitions. Goldman et al. (59) provide guidelines for when this test is appropriate.

For hypothesis testing in the Bayesian framework, we used the Bayes factor (31, 60). We used MrBayes Ver. 3.1.2 to calculate the harmonic mean of the likelihood values of the Markov chain Monte Carlo samples from the combined five-gene data set for the last 8,000 trees. We then calculated the harmonic mean of the likelihood values when the tree topology was constrained to the Colletidae basal topology for the same sample of trees. Twice the difference in log likelihoods can be used to estimate the extent to which the observed result (Melittidae-LT basal) differed from the null hypothesis (Colletidae basal). Twice the difference in log likelihood can be interpreted by using tables in refs. 31 and 60. Values >10 are considered to be very strong support for the alternative hypothesis. To impose the Colletidae basal topology, we constrained all families to be monophyletic and then constrained the overall tree topology to match figure 1a in ref. 27. No constraints were placed on the topology within the families, and the affinities of the Stenotritidae were not constrained.

Supplementary Material

Supporting Information

Acknowledgments

Laurence Packer, Robert Minckley, Eduardo Almeida, and Sophie Cardinal provided helpful comments on the manuscript. This project was supported by collaborative National Science Foundation Research Grants in Systematic Biology [DEB-0211701 (to B.N.D.) and DEB-0211837 (to S.S.)]. S.G.B. is currently supported by National Science Foundation Grant EF-0431330. A National Geographic Grant in Aid of Research (NGS Grant 6946-01) provided travel funds for the collection of some important specimens for this study.

Abbreviations

ST

short-tongued

LT

long-tongued

GTR

general time-reversible

I+G

gamma distribution plus a proportion of invariant sites

s.l.

sensu lato

s.s.

sensu stricto.

Footnotes

The authors declare no conflict of interest.

Melittidae in the sense of Michener (9) is a paraphyletic group based on our results. We refer to the three melittid subfamilies as families, following an earlier suggestion by Alexander and Michener (17). The three families are Melittidae (s.s.), Dasypodaidae, and Meganomiidae.

Data deposition: The sequences reported in this paper have been deposited in the GenBank database (accession nos. listed in Table 4, which is published as supporting information on the PNAS web site). The data matrix has been deposited in the TreeBASE database, www.treebase.org (accession nos. M2878 and S1599).

References

  • 1.Soltis PS, Soltis DE. Am J Bot. 2004;91:1614–1626. doi: 10.3732/ajb.91.10.1614. [DOI] [PubMed] [Google Scholar]
  • 2.Davies TJ, Barraclough TG, Chase MW, Soltis PS, Soltis DE, Savolainen V. Proc Natl Acad Sci USA. 2004;101:1904–1909. doi: 10.1073/pnas.0308127100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Regal PJ. Science. 1977;196:622–629. doi: 10.1126/science.196.4290.622. [DOI] [PubMed] [Google Scholar]
  • 4.Burger WC. BioScience. 1981;31:572–581. [Google Scholar]
  • 5.Crepet WL, Friis EM. In: The Origins of Angiosperms and Their Biological Consequences. Friis EM, Chaloner WG, Crane PR, editors. Cambridge, UK: Cambridge Univ Press; 1987. pp. 181–201. [Google Scholar]
  • 6.Eriksson O, Bremer B. Evolution (Lawrence, Kans) 1992;46:258–266. doi: 10.1111/j.1558-5646.1992.tb02000.x. [DOI] [PubMed] [Google Scholar]
  • 7.Pellmyr O. Trends Ecol Evol. 1992;7:46–49. doi: 10.1016/0169-5347(92)90105-K. [DOI] [PubMed] [Google Scholar]
  • 8.Schoonhoven LM, Jermy T, van Loon JJA. Insect-Plant Biology: From Physiology to Evolution. London: Chapman & Hall; 1998. [Google Scholar]
  • 9.Michener CD. The Bees of the World. Baltimore: Johns Hopkins Univ Press; 2000. [Google Scholar]
  • 10.Wcislo WT, Cane JH. Annu Rev Entomol. 1996;41:257–286. doi: 10.1146/annurev.en.41.010196.001353. [DOI] [PubMed] [Google Scholar]
  • 11.Simpson BB, Neff J.L. Ann Mo Bot Gard. 1981;68:301–322. [Google Scholar]
  • 12.Buchmann SL. Annu Rev Ecol Syst. 1987;18:343–369. [Google Scholar]
  • 13.Dressler RL. Annu Rev Ecol Syst. 1982;13:373–394. [Google Scholar]
  • 14.Armbruster WS. Am J Bot. 1984;71:1149–1160. [Google Scholar]
  • 15.Thorp RW. Ann Mo Bot Gard. 1979;66:788–812. [Google Scholar]
  • 16.Thorp RW. Plant Syst Evol. 2000;222:211–223. [Google Scholar]
  • 17.Alexander BA, Michener CD. Univ Kansas Sci Bull. 1995;55:377–424. [Google Scholar]
  • 18.Michener CD. Bull Am Mus Nat Hist. 1944;82:151–326. [Google Scholar]
  • 19.Michener CD. The Social Behavior of the Bees. Cambridge, MA: Harvard Univ Press; 1974. [Google Scholar]
  • 20.Michener CD. Ann Mo Bot Gard. 1979;66:277–347. [Google Scholar]
  • 21.Malyshev SI. Genesis of the Hymenoptera and Phases of Their Evolution. London: Methuen; 1968. [Google Scholar]
  • 22.Engel MS. Bull Am Mus Nat Hist. 2001;259:1–192. [Google Scholar]
  • 23.Perkins RCL. (ser 8).Ann Mag Nat Hist. 1912;9:96–121. [Google Scholar]
  • 24.McGinley RJ. J Kansas Entomol Soc. 1980;53:539–552. [Google Scholar]
  • 25.Radchenko VG, Pesenko YA. Entomol Rev. 1994;75:140–162. [Google Scholar]
  • 26.Michener CD. J Hymen Res. 2005;14:78–83. [Google Scholar]
  • 27.Danforth BN, Fang J, Sipes S. Mol Phylogenet Evol. 2006;39:358–372. doi: 10.1016/j.ympev.2005.09.022. [DOI] [PubMed] [Google Scholar]
  • 28.Hasegawa M, Kishino M. Evolution (Lawrence, Kans) 1989;43:672–677. doi: 10.1111/j.1558-5646.1989.tb04264.x. [DOI] [PubMed] [Google Scholar]
  • 29.Kishino H, Hasegawa M. J Mol Evol. 1989;29:170–179. doi: 10.1007/BF02100115. [DOI] [PubMed] [Google Scholar]
  • 30.Shimodaira H, Hasegawa M. Mol Biol Evol. 1999;16:1114–1116. [Google Scholar]
  • 31.Nylander JAA, Ronquist F, Huelsenbeck JP, Nieves-Aldrey JL. Syst Biol. 2004;53:47–67. doi: 10.1080/10635150490264699. [DOI] [PubMed] [Google Scholar]
  • 32.Michener CD. J Kansas Entomol Soc. 1981;54:319–326. [Google Scholar]
  • 33.Cane JRR., Snelling RR, Kervin LJ. J Kansas Entomol Soc Suppl. 1996;69:238–247. [Google Scholar]
  • 34.Rozen JG., Jr Am Mus Novitates. 1987;(2887) [Google Scholar]
  • 35.Cane JH, Eickwort GC, Wesley FR, Spielholtz J. Am Midland Nat. 1983;110:257–264. [Google Scholar]
  • 36.Steiner KE, Whitehead VB. Evolution (Lawrence, Kans) 1990;44:1701–1707. doi: 10.1111/j.1558-5646.1990.tb03857.x. [DOI] [PubMed] [Google Scholar]
  • 37.Steiner KE, Whitehead VB. Evolution (Lawrence, Kans) 1991;45:1493–1501. doi: 10.1111/j.1558-5646.1991.tb02651.x. [DOI] [PubMed] [Google Scholar]
  • 38.Michez D, Nel A, Menier J-J. Zool J Linn Soc. 2006 in press. [Google Scholar]
  • 39.Michener CD, Grimaldi DA. Am Mus Novitates. 1988;(2917) [Google Scholar]
  • 40.Michener CD, Grimaldi DA. Proc Natl Acad Sci USA. 1988;85:6424–6426. doi: 10.1073/pnas.85.17.6424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Engel MS. Am Mus Novitates. 2000;(no 3296) [Google Scholar]
  • 42.Michener CD, Poinar PO., Jr J Kansas Entomol Soc Suppl. 1996;69:353–361. [Google Scholar]
  • 43.Engel MS. Entomol Scand. 1999;30:453–458. [Google Scholar]
  • 44.Roig-Alsina A, Michener CD. Univ Kansas Sci Bull. 1993;55:123–173. [Google Scholar]
  • 45.Danforth BN, Ji S. Mol Biol Evol. 1998;15:225–235. doi: 10.1093/oxfordjournals.molbev.a025920. [DOI] [PubMed] [Google Scholar]
  • 46.Mardulyn P, Cameron S. Mol Phylogenet Evol. 1999;12:168–176. doi: 10.1006/mpev.1998.0606. [DOI] [PubMed] [Google Scholar]
  • 47.Cameron SA, Mardulyn P. Syst Biol. 2001;50:192–214. [PubMed] [Google Scholar]
  • 48.Caterino MS, Cho S, Sperling FAH. Annu Rev Entomol. 2000;45:1–54. doi: 10.1146/annurev.ento.45.1.1. [DOI] [PubMed] [Google Scholar]
  • 49.Danforth BN, Sauquet H, Packer L. Mol Phylogenet Evol. 1999;13:605–618. doi: 10.1006/mpev.1999.0670. [DOI] [PubMed] [Google Scholar]
  • 50.Danforth BN, Brady SG, Sipes SD, Pearson A. Syst Biol. 2004;53:309–326. doi: 10.1080/10635150490423737. [DOI] [PubMed] [Google Scholar]
  • 51.Melo GAR. Scientific Papers, Univ Kansas Nat Hist Mus. 1999;14:1–55. [Google Scholar]
  • 52.Swofford DL. PAUP*, Phylogenetic Analysis Using Parsimony (and Other Methods) Sunderland, MA: Sinauer; 2002. Version 4.0b10. [Google Scholar]
  • 53.Felsenstein J. Evolution (Lawrence, Kans) 1985;39:783–791. doi: 10.1111/j.1558-5646.1985.tb00420.x. [DOI] [PubMed] [Google Scholar]
  • 54.Nylander JAA. MrModelTest. Uppsala, Sweden: Evolutionary Biology Centre, Uppsala University; 2004. Version 2.2. [Google Scholar]
  • 55.Zharkikh A. J Mol Evol. 1994;39:315–329. doi: 10.1007/BF00160155. [DOI] [PubMed] [Google Scholar]
  • 56.Huelsenbeck JP, Ronquist F. Bioinformatics. 2001;17:754–755. doi: 10.1093/bioinformatics/17.8.754. [DOI] [PubMed] [Google Scholar]
  • 57.Ronquist F, Huelsenbeck JP. Bioinformatics. 2003;19:1572–1574. doi: 10.1093/bioinformatics/btg180. [DOI] [PubMed] [Google Scholar]
  • 58.Swofford DL, Olsen GJ, Waddell PJ, Hillis DM. In: Molecular Systematics. 2nd Ed. Hillis DM, Moritz C, Mable BK, editors. Sunderland, MA: Sinauer; 1996. pp. 407–514. [Google Scholar]
  • 59.Goldman N, Anderson JP, Rodrigo AG. Syst Biol. 2000;49:652–670. doi: 10.1080/106351500750049752. [DOI] [PubMed] [Google Scholar]
  • 60.Kass RE, Raftery AE. J Am Stat Assoc. 1995;90:773–795. [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supporting Information

Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences

RESOURCES