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Proceedings of the Royal Society B: Biological Sciences logoLink to Proceedings of the Royal Society B: Biological Sciences
. 2011 Jul 27;279(1729):794–803. doi: 10.1098/rspb.2011.1355

Photic niche invasions: phylogenetic history of the dim-light foraging augochlorine bees (Halictidae)

Simon M Tierney 1,*, Oris Sanjur 1, Grethel G Grajales 1, Leandro M Santos 2, Eldredge Bermingham 1, William T Wcislo 1,*
PMCID: PMC3248740  PMID: 21795273

Abstract

Most bees rely on flowering plants and hence are diurnal foragers. From this ancestral state, dim-light foraging in bees requires significant adaptations to a new photic environment. We used DNA sequences to evaluate the phylogenetic history of the most diverse clade of Apoidea that is adapted to dim-light environments (Augochlorini: Megalopta, Megaloptidia and Megommation). The most speciose lineage, Megalopta, is distal to the remaining dim-light genera, and its closest diurnal relative (Xenochlora) is recovered as a lineage that has secondarily reverted to diurnal foraging. Tests for adaptive protein evolution indicate that long-wavelength opsin shows strong evidence of stabilizing selection, with no more than five codons (2%) under positive selection, depending on analytical procedure. In the branch leading to Megalopta, the amino acid of the single positively selected codon is conserved among ancestral Halictidae examined, and is homologous to codons known to influence molecular structure at the chromophore-binding pocket. Theoretically, such mutations can shift photopigment λmax sensitivity and enable visual transduction in alternate photic environments. Results are discussed in light of the available evidence on photopigment structure, morphological specialization and biogeographic distributions over geological time.

Keywords: opsin, dim-light, Augochlorini, adaptive radiation, relictual taxa

1. Introduction

The invasion of a novel sensory environment represents a significant niche shift [1,2]. For photic niche shifts, photosensitivity of the eye is a target of selection, which may be associated with evolutionary diversification in many animal taxa [1,3]. Despite the independent origins of eyes, many elements of the visual system are conserved, such as the photopigment proteins (the opsins) that originate from a common metazoan ancestor [46]. Opsin genes are routinely used for reconstructing phylogenetic history (e.g. [7] for bees), but they also provide a potentially powerful signal for understanding the molecular basis of behavioural transitions to novel light environments, especially when viewed from a comparative phylogenetic perspective [8].

Visual pigments consist of a photon-absorbing chromophore (11-cis-retinal) which is surrounded by an apo-protein (opsin), embedded in the transmembrane of photoreceptor cells, and the expression of variant opsins (short/medium/long λ) permits chromatic vision [4,9]. Changes in either a small set, or single point mutations, of amino acids relative to the chromophore-binding pocket can shift spectral sensitivity [1013]. The same result also can be achieved via gene duplication within opsin classes and differential expression of alternate copies [14,15], or the use of rhabdomeric filters to modify photopigment activation [16].

Here we explore the phylogenetic history of the obligate dim-light foraging augochlorine sweat bees (Megalopta, Megaloptidia and Megommation), the most diverse radiation of dim-light bees within the Apoidea (reviewed by Wcislo & Tierney [17]). These bees forage under light conditions that are orders of magnitude dimmer than related diurnal taxa [1820] (reviewed by Wcislo & Tierney [17] and Warrant [21]), so there are reasons to expect that augochlorine opsin proteins may be under strong selection that led to adaptive radiations, as in other taxa such as cichlid fishes [8,22]. If so, opsin may be unsuitable for our phylogenetic purposes, which we test by comparison with two non-photic nuclear protein-coding genes. We estimate relative rates of non-synonymous to synonymous mutations using distance and phylogenetically informed likelihood procedures, comparing dim-light foraging taxa with their close diurnal relatives. We also use dating estimates to place the evolutionary ecology of the dim-light foraging Augochlorini within a historical context.

2. Material and methods

(a). Specimen collection and study taxa

Bees were collected at light traps or from nests (see [2326]) at localities given in the electronic supplementary material, table S1. The most abundant genus is Megalopta (approx. 30 species, including five parasites), which are distributed from Mexico to northern Argentina and southern Brazil, predominantly in lowlands, with one Central American montane species [24,2731]. Megaloptidia (three species) occur in the Amazon basin and Guiana Shield [28,32], and Megommation s. str. (two species) occur in eastern Brazil, and northern Argentina and Paraguay [28,33]. Multiple specimens of the same morphospecies from different locations were used to assess potential problems associated with prior taxonomy (see electronic supplementary material, M1). Voucher specimens are located in the dry reference collection of the Smithsonian Tropical Research Institute.

(b). DNA sequence compilation

Bi-directional fragments of three protein-coding nuclear gene regions, long-wavelength green opsin (LwOp), the F2 copy of elongation factor-1 alpha (EF-1α) and wingless (Wg) were obtained (for gene maps see [34,35]). Primer oligos and polymerase chain reaction conditions are detailed in the electronic supplementary material, M2. Sequences were edited (Sequencher 4.6) and aligned (Se-Al v. 2.0a11 Carbon) to the coding region sequence of pre-existing halictid bees accessed from GenBank, and accession numbers JN106067 to JN106163 represent new sequences obtained for this study (see electronic supplementary material, table S1). Intron regions were excluded from analyses, identified in accordance with the coding regions of exemplars: LwOpU26026 Apis mellifera; EF-1αAF015267 A. mellifera; WgJ03650 Drosophila melanogaster.

(c). Phylogenetic inference

Phylogenetic inference was performed using MrBayes 3.1.2. Data were partitioned by codon position within each gene. We took an objective approach ([36], see electronic supplementary material, M3), and used the most parameter rich, yet least restrictive model (GTR + I + G), for each partition and used default priors for other all parameters, which were unlinked across partitions. Default heating procedures were performed on two independent parallel runs, sampling likelihoods every 1000th generation. We ran analyses for 100 M generations so that the modelling procedure reached stationarity, and to obtain a large sample size from which to assess confidence in estimates of node divergence times. We used 10 per cent burn-in points (n = 90 K trees) and ran three analyses: (i) a combined three gene dataset, (ii) non-photic: EF-1α + Wg, and (iii) photic: LwOp only.

(d). Tests for adaptive evolution: relative rates of dN/dS – ω

We followed standard methods to test for signals of adaptive evolution from nucleotide sequences by assessing the relative rates (ω) of non-synonymous (dN) to synonymous (dS) substitutions. We first used distance measures (z-tests, MEGA v. 4.0) to test for positive selection (Ha: dN > dS) within all gene fragments that were used to construct the phylogeny. Then we compared LwOp by foraging mode across our dataset, as well as independent pairwise analyses among 11 pairs of bee taxa with nocturnal versus diurnal foraging behaviour, for which comparable sequences are available (listed in the electronic supplementary material, table S1); behavioural categorizations were taken from Wcislo & Tierney [17].

Distance measures may suggest selection is operating, but do not indicate which sequenced regions are undergoing selection, and hence how selection is operating. Maximum-likelihood procedures were undertaken within a phylogenetic context (HyPhy v. 1.0) with consensus LwOp trees derived from Bayesian analyses. We assessed Global versus Local (specific branch) models, and a priori we selected clades and branches that may be expected to be under differential selection (i.e. dim-light versus diurnal foragers), and used modified data matrices (a, all specimens; b, single specimen/species; c, ancestral halictids added to matrix b) to account for the potential effect that altering outgroups may have on ingroup comparisons of ω. Finally, we used site-specific modelling procedures, employing both single likelihood ancestor counting as well as a more thorough branch-site fixed effect likelihood methodology (further details in electronic supplementary material, M4).

(e). Divergence time estimation

We use two relaxed clock analytical methods to estimate divergence dates for internal nodes of the Bayesian consensus tree, a simplistic path-length analysis with fine-scale optimization for smoothing substitutional rate variation (PATHd8 v. 1.0), and a more rigorous penalized likelihood approach that optimizes smoothing rates across the tree, which then controls for extreme rate variation among branches, and importantly permits estimation of confidence measures on node age (r8s v. 1.71).

Justification of fossil usage, and analytical details are provided in electronic supplementary material, M5. Synthesizing the fossil (amber, pollen, compression and trace) and biogeographic evidence, the existence of ancestral halictid lineages in Maastrichtian (70.6–65.5 Myr ago) South America is plausible and conforms to molecular-derived age estimates of supra-family level for the Aculeata [37]. The most probable match of any ichnofossil to extant bee lineages is that of Uruguay (Maastrichtian ichnogenus) to Augochlorini (e.g. Pseudaugochlora), but see arguments by Michener [28, p. 101] and Genise & Bown [38]. Thus, we use the root age of 65 Ma, for the node representing the most recent common ancestor (MRCA) of Augochlorini + Caenohalictini (Halictinae), which agrees with prior phylogenetic studies of Halictidae [34,39].

We used Dominican amber inclusion fossils of halictine bees (reviewed by Engel & Peñalver [40]) as an internal minimum age constraint between 15 and 20 Ma [41]. Bees in our phylogenetic analyses that contain ancestral lineages represented in Dominican amber include: Augochlora, Augochloropsis (but see [40]), Caenohalictus and Neocorynura. To create credible boundaries for the upper and lower ages for amber calibrates, we identified two nodes: the earliest possible crown node, Amber Early (MRCA of Augochloropsis and Augochlora); and the most distal stem node, Amber Late (MRCA of Augochlora).

The most conservative use of age calibrates was a fixed Root of 65 Ma and a minimum age constraint of 15 Ma at Amber Late. We then shifted the minimum age constraint to the node Amber Early. Next, we removed the internal constraint, so that analyses rely solely on the Halictinae Root age. Finally, we modified the phylogeny into sub-trees so that the upper (Amber Early) and lower (Amber Late) internal constraint nodes are transformed to become independent fixed ages, with all ancestral taxa leading to those nodes pruned from the tree and analysis. We then explored the robustness of age estimates by adjusting age constraints at 5 Ma intervals. Thus, five broad variations on node-age calibration were performed: (i) Root fixed at 65 Ma, Amber Late constrained to 15/20/25/30/35/40/45 Ma; (ii) Root fixed at 65 Ma, Amber Early constrained to 15/20/25/30/35/40/45 Ma; (iii) Root fixed at 45/50/55/60/65/70/75/80/85 Ma, no internal constraint; (iv) ancestral taxa pruned, Amber Late fixed at 5/10/15/20/25/30/35 Ma; and (v) ancestral taxa pruned; Amber Early fixed at 15/20/25/30/35/40/45 Ma.

Standard confidence interval measures are not appropriate because placing constraints on node age necessarily leads to skewed distributions, thus violating assumptions of normality. Confidence limits for node-age variability were assessed using the Bayesian analysis consensus tree as a filter constraint (PAUP* v. 4.0 b10), to yield a pool of topologically alike trees with variable branch lengths, that we then imported into r8s to assess variation in node age. Central distribution 95% confidence limits (CLs) were determined by the upper and lower 2.5 per cent quantile of node ages.

3. Results

(a). Phylogeny

The combined phylogenetic data recovered 2049 aligned coding region nucleotides (LwOp 702 bp, EF-1α 754 bp, Wg 593 bp), with introns excluded. The consensus tree (figure 1a; corresponding phylogram—electronic supplementary material, figure S1a) gives posterior probability (PP) node support for nodes with less than 100 PP. Relationships among the diurnal augochlorine taxa are well supported. All dim-light taxa form a monophyletic clade, but with only moderate support (80 PP). The monophyletic grouping of (Megaloptidia + (Megalopta + Xenochlora)) is maximally supported, as is the monophyly of Megaloptidia. Megalopta is not monophyletic, as the diurnal Xenochlora forms a fully supported monophyly with Megalopta atra (the only montane Megalopta species), which renders Megalopta paraphyletic. The group (Xenochlora + M. atra) forms a sister clade to the remaining lowland Megalopta, which is a fully supported monophyletic group. These lowland lineages can be broadly divided by sculpturing on the basal area of the propodeum [42], into two well supported main clades: (i) one clade is comprised species with a smooth basal area of the propodeum (84 PP), which contains all specimens of Megalopta centralis (i.e. Megalopta ecuadoria in earlier publications); and (ii) one clade is comprised the parasitic Megalopta byroni and the remaining Megalopta with striate basal area of the propodeum (100 PP). Resolution among terminal branches within both of these lowland clades, however, is weak.

Figure 1.

Figure 1.

Total evidence and opsin-only phylogenies. (a) Consensus chronogram for all three genes, posterior probability node support indicated when less than 100. Foraging environment denoted by branch colour (diurnal, grey; dim-light, black), and node colour (diurnal MRCA, white circle; dim-light MRCA, black circle). Open circle with black dot denotes age-calibration node. Branch lengths derived from r8s analysis: Root fixed 65 Ma; Amber Late constrained 15 Ma. Horizontal bars represent 95% CL's for a 65 Ma fixed Root and a constraint age of 15 Ma (light grey bars) or 20 Ma (dark grey bars). Mean node age indicated by a vertical black line within these bars. (b) Ancestral halictid LwOp summary cladogram, modified from electronic supplementary material, figure S3c. Indicates two positions that were positively selected (all datasets) in branches leading to the MRCA of dim-light foraging clades (see electronic supplementary material, table S5). Codon Gly11Cys is homologous to the chromophore-binding pocket sites of Papilio-142 and bovine-123. Megalopta is summarized by lineage: diurnal (Xenochlora), montane (Megalopta atra) and two main lowland clades possessing either smooth (M. centralis) or striate basal area of propodeum (remaining morphotypes). Asterisk, Dufourea sequence may be questionable (see electronic supplementary material, R2).

In order to assess the effects of including multiple specimens per morphospecies, we ran a second analysis with just one representative per taxa. This analysis generated the identical topological relationships among genera and subgenera (electronic supplementary material, figure S1b). Node support was also broadly equivalent, apart from the MRCA of the augochlorines that dropped from 99 to 89 PP support and the relationship between the parasite (M. byroni) and known host (Megalopta genalis) was resolved (90 PP); the remaining members of the clade with striate basal area of the propodeum collapsed into a three-way polytomy.

When the opsin fragment was removed from the matrix, very few of the above relationships hold (electronic supplementary material, figure S2). The MRCA of the augochlorines collapsed into a polytomy. The dim-light taxa no longer form a monophyletic clade; Megommation and Megaloptidia are grouped with other diurnal taxa with poor support (less than 67 PP). The only fully supported monophyletic grouping is that of Megalopta and Xenochlora, whereby (M. atra + Xenochlora nigrofemorata) form a clade (87 PP) that is sister group to a polytomous grouping of all the remaining lowland Megalopta.

When only opsin is used to reconstruct the phylogeny (electronic supplementary material, figure S3a), some resolution is lost among the diurnal outgroups but again the dim-light taxa are recovered within a common clade with strong support (94 PP). Within this clade, the grouping of Megommation with Megaloptidia is fully supported, as is Xenochlora with Megalopta. In the latter, Xenochlora is recovered as a distinct sister group to M. atra; in this analysis monophyly of the genus Megalopta is very poorly supported (60 PP). Within Megalopta, the highland M. atra is again isolated from the lowland Megalopta wherein dichotomous resolution is lost. These analyses suggest that opsin provides good resolution among the augochlorine genera included in this study, but not at the species level for Megalopta. However, when only a single representative per species is used, and incomplete sequences are removed, resolution somewhat improves (electronic supplementary material, figure S3b). If the gene is undergoing positive selection, however, then the apparent resolution it provides may be spurious.

(b). Tests for adaptive evolution

(i). Distance measures of ω averaged across the matrix

Results from the z-tests (electronic supplementary material, table S2), for all three gene fragments, showed evidence of stabilizing selection (all p <0.001), but no evidence of positive selection (all p = 1.0). The same trends and significance values were found when the specimens were split into groups based on foraging mode (diurnal versus dim-light) for LwOp.

(ii). Pairwise measures of ω

Using 15 GenBank sequences of LwOp and five derived from the current study (electronic supplementary material, table S3), we found 11 suitable pairs of dim-light/diurnal foraging bees for pairwise measures. In two of these analyses (Megalopta versus Xenochlora, and L. (Sphecodogastra) versus L. (Evylaeus)), neutrality was not rejected. The other nine comparisons rejected neutrality and found very high support for stabilizing selection (all p < 0.001), and no support for positive selection.

(iii). Maximum-likelihood measures of ω

Likelihood measures on the LwOp coding sequence were performed on three dataset perturbations with incomplete sequences removed: (i) the original taxon matrix (n = 38) + electronic supplementary material, figure S3a; (ii) a single specimen/species matrix (n = 16) + electronic supplementary material, figure S3b; and (iii) all available ancestral halictids added to matrix b (n = 33) + electronic supplementary material, figure S3c (sequences sourced from GenBank; see electronic supplementary material, table S1). Akaike Information Criterion tests for LwOp rate procedures selected the HKY85 model. For all analyses, we used Muse–Gaut likelihood rate matrices in combination with either a HKY85 or a more parameter-rich GTR codon model, depending on whether graphical user interface or batch files were used. Consensus trees (electronic supplementary material, figure S3) were derived from the corresponding Bayesian analysis and results discussed below are presented in the electronic supplementary material, table S4. We found no evidence of recombination events in our data.

Global (shared) estimates of ω across the entire tree corroborate distance-based z-tests in rejecting neutral evolution, as confidence intervals do not overlap 1. Analyses (i) and (ii) yielded equivalent values (ω ∼ 0.2), while inclusion of ancestral taxa (analysis (iii)) generated a slightly weaker indication of directional selection (ω ∼ 0.1). Likelihood ratio tests comparing Global (Ho) versus Local (Ha) rates provided highly significant evidence for local branch-by-branch variation in ω for all trees. We also found evidence for interclade variation in ω when the tree was split by photic niche for foraging. All three matrices supported a nested model (dim-light clade + branch leading to it, in comparison with the diurnal clade), in preference to global estimates, with evidence of slightly stronger rates of stabilizing selection in the diurnal clade (ω range: 0.1–0.13), when compared with the dim-light clade (ω range: 0.34–0.36). Likelihood ratio tests comparing ω between terminal and internal branches supported Ha, indicate that terminal branches experience significantly different rates of ω compared with the rest of the tree.

The general site and branch Single Likelihood Ancestor Count procedure tested for both positive and stabilizing selection at each codon (n = 234) in the sequence. The procedure first counted across the entire tree and then counted the terminal (T) and internal (I) branches independently. Again, there is evidence of stabilizing selection, but no indications of sites under positive selection. Full counts suggested 12–41% of the sequence is undergoing stabilizing selection, depending on the matrix. Among-branch analyses of tribe Augochlorini suggest a noticeable increase in the number of codons under stabilizing selection in terminal branches versus internal branches (single specimen/species matrix b: T = 7%, I = 0.4%); these phylogenetic path-length differences are less pronounced when ancestral halictids are incorporated (matrix c: T = 20%, I = 15%).

The site and branch two-rate fixed effects likelihood analyses were first performed on all branches in the tree, then on sub-trees rooted at the MRCA node of the dim-light augochlorines and all derived nodes of each dim-light genus, and finally on the ancestral branches leading to all of the aforementioned nodes. Electronic supplementary material, table S4 details the sum count of directionally selected codons, followed by the position of positively selected codons. Each dataset gave rise to no more than five sites undergoing positive selection in each analysis. Each positively selected codon from data matrix c analyses (sub-tree and branch-site) was highlighted in an alignment relative to opsin codon positions in Apis (honeybee) and Papilio (swallowtail butterfly). Two positively selected codons were consistently recovered across matrices in branches leading to dim-light clades (see figure 1b; electronic supplementary materials, R2 and table S5). We identified one potentially functional amino acid mutation within the dim-light clade, relative to the homologous position of the chromophore-binding pocket.

(c). Divergence estimates

We used the total data consensus tree for all PATHd8 analyses, and as the constraint topology to filter trees (n = 5144) to gain 95% CLs for r8s analyses. Figure 1a presents a chronogram with branch lengths derived from a conservative r8s analysis. Results from all analyses are presented in electronic supplementary material, table S6 and thoroughly compared in electronic supplementary material, R3. However, both methods provided similar age estimates and no unexpected results arose when age constraints were liberally extended. Table 1 shows a subset of r8s analyses that independently yield equivalent results. Removal of internal constraints or alternate fixed-age placement strengthen the intuitive a priori choice of rooting the tree at 65 Ma with placement of an internal minimum constraint of 15 Ma at the Amber Late node. The Amber Late node is located quite high in the tree, but the alternate independent use of calibration point nodes (and even the removal of Megommation—analysis 4X, table 1), suggest our estimates are robust. These calibrating procedures and their confidence intervals suggest that the MRCA of the augochlorine taxa used in this phylogenetic reconstruction is at least 46 Ma (95% CL 38–55 Myr ago). The obligate dim-light foraging augochlorine bees share a common ancestor that is at least 22 Ma (95% CL 18–28 Myr ago). The most speciose dim-light foraging genus Megalopta has an MRCA that is at least 11 Ma (95% CL 7–16 Myr ago), and the two most geographically widespread lowland Megalopta clades are estimated to have diverged and radiated within the last 5 Ma (95% CL 4–7 Myr ago). A credible upper boundary (Root fixed at 65 Ma; Amber Late constrained to 20 Ma) yields very similar 95% CL's for all nodes, never exceeding more than 3.3 Ma difference at either tail.

Table 1.

Divergence age estimates. (Subset of penalized likelihood (r8s) results for alternate age-calibration procedures, indicating the time calibrate for each analysis, the mean node-age estimate in millions of years and 95% CL.)

node Root augochlorine Amber Early caenohalictine Amber Late dim light Megaloptidia Megalopta montane lowland Xenochlora
1a calibrates: 65a 15b
 mean (n = 5142) 45.99 31.22 21.00 17.18 21.93 12.75 11.18 7.57 5.06 4.36
 95% CL 38.15—54.64 25.63—38.29 15.08—28.44 15.00—22.33 17.51—27.86 9.70—16.76 8.46—14.92 5.27—10.58 3.63—7.14 2.65—6.66
1b calibrates: 65a 20b
 mean (n = 5144) 47.49 33.45 21.02 20.17 23.91 13.86 12.16 8.23 5.49 4.73
 95% CL 40.49—55.07 28.84—39.09 15.09—28.46 20.00—22.33 19.86—28.70 10.87—17.47 9.35—15.70 5.85—11.28 3.98—7.56 2.90—7.10
2d calibrates: 65a 30b
 mean (n = 5144) 46.47 31.90 21.01 17.36 22.33 12.97 11.37 7.70 5.14 4.43
 95% CL 39.86—54.58 30.00—38.20 15.08—28.45 13.39—22.32 18.44—27.77 10.12—16.75 8.81—14.89 5.42—10.56 3.73—7.14 2.71—6.67
3e calibrate: 65a
 mean (n = 5144) 45.85 31.03 21.00 16.92 21.76 12.66 11.09 7.52 5.02 4.33
 95% CL 37.82—54.56 25.13—38.20 15.08—28.42 12.64—22.32 17.09—27.76 9.53—16.68 8.30—14.86 5.18—10.50 3.7—7.2 2.61—6.63
5d calibrate: 30a
 mean (n = 5142) 16.26 20.90 12.10 10.63 7.20 4.80 4.13
 95% CL 12.78—19.98 17.52—24.32 9.54—15.07 8.20—13.56 5.10—9.79 3.46—6.65 2.54—6.14
4c calibrate: 15a
 mean (n = 5143) 22.84 13.07 11.34 7.65 5.12 4.40
 95% CL 16.24—29.53 8.89—17.35 7.71—15.10 4.78—10.54 3.32—6.87 2.44—6.52
4Xiii calibrate: 15a
 mean (n = 5141) 14.14 12.30 8.29 5.53 5.20
 95% CL 8.91—18.16 7.67—15.64 4.76—11.27 3.27—7.18 2.41—6.81

aFixed age.

bMinimum constraint age.

4. Discussion

(a). Opsin evolution

The functionality of our positively selected amino acid sites, relative to distantly related opsin proteins, remains an open question. Recent empirical work shows that mutations of long-wavelength opsins at positions homologous to bovine tuning sites alter sensitivity of Drosophila chromophores [13]. Our codon 11 (Apis 138, Papilio 142, bovine 123 [43]) is the only positively selected codon on the ancestral branch leading to MRCA of the most diverse dim-light foraging augochlorine clade (Megalopta); the amino acid is conserved in ancestral lineages and then switches Gly11Cys (figure 1b, electronic supplementary material, table S5). Homology modelling of the crystal structure and ultimately mutagenic experiments are required to assess the functionality of this mutation. Comparisons to previous studies on Lepidoptera and bees [43], however, suggest that this codon may be associated with structural changes that influence the chromophore-binding pocket, and potentially shift the absorption λmax of the visual pigment.

The functional consequences of differential opsin expression are beginning to be resolved for bees. A fully nocturnal carpenter bee (Xylocopa) is capable of colour discrimination under very dim light [44], whereas honeybees (Apis) switch and use achromatic vision at low light intensities [45]. Bumble-bees express LwOp at much faster rates than ultraviolet (UV) or blue opsins [46], suggesting LwOp may play a role in photoreceptors measuring optic flow. As with diurnal bees, manipulation of horizontal flow in the visual field alters flight speed in Megalopta, even at low light intensities [47]. In addition, Megalopta possess a number of other neuro-physiological and anatomical adaptations for vision in dim light (reviewed by Wcislo & Tierney [17] and Warrant [21]). Future research aims to link these adaptations with studies of opsin expression.

Are data from long-wavelength opsin valid for recovering phylogenetic history of bees that are likely to experience strong selection on traits related to their visual ecology? An examination of rates of dN/dS shows that this fragment is under stabilizing selection. This finding is consistent with other studies examining predominantly diurnal bees (apids, megachilids, colletids and halictids), whereby the majority of mutations were at synonymous third codons (e.g. [7,34,35,48]). In augochlorines, only a handful of codon sites are under positive selection, as might be expected if point mutations result in spectral tuning of photopigment wavelength sensitivity. In general, LwOp provided good resolution at the generic level, except for the relationship between Megalopta and Xenochlora (see below).

Gene duplication is one mechanism to shift photopigment sensitivity; duplicate copies LwOp occur in some bees and butterflies [49]. To assess whether we had sequenced an alternate copy of LwOp, we re-analysed our data incorporating all known copies of bee LwOp-Rh2 (Apidae—Apis, Bombus and Diadasia; Megachilidae—Osmia) [50,51]. The resulting tree (electronic supplementary material, figure S3d) suggests that the LwOp copy used in the majority of bee phylogenetic studies [34,52] has an affinity to LwOp-Rh1. This implies that we have sequenced the LwOp copy expressed in the compound eyes, as LwOp-Rh2 is only known from bee ocelli [51]. The ocelli of Megalopta appear to functionally resemble cockroaches, more so than other bees, in that they are UV insensitive [53].

Parallel and convergent evolution has been identified in the rhodopsin gene of bats [54]. In augochlorine bees, the non-photic gene matrix (EF1-α and Wg) did not group the dim-light lineages within a single clade, but the alternate paraphyletic arrangement was not statistically supported (electronic supplementary material, figure S2). A phylogenetic study of Megalopta using morphological characters [55] yielded a topology similar to our LwOp-only topology (figure 1b), but the study did not include the other dim-light augochlorines, Megommation or Megaloptidia.

(b). Reversion to diurnal foraging

Xenochlora, the closest diurnal relative of Megalopta, was elevated to generic status [56] based on a suite of morphological characters (e.g. coloration and ocellar size), but otherwise appears to resemble Megalopta in form, social behaviour and nesting biology [25]. Owing to a lack of ethological data, we cannot rule out facultative crepuscular activity, but we do know they are diurnal foragers (D. W. Roubik 1991, unpublished observation, cited in Engel et al. [56]). Our data support the incorporation of Xenochlora within Megalopta, forming a fully supported sister clade with M. atra. Males of Xenochlora are unknown; Michener [28, p. 412] considered that the phylogenetic position of Xenochlora was uncertain, but based on available evidence he would have treated it as a basal subgenus within Megalopta. Our data show that Megalopta is paraphyletic, and imply that the common ancestor for this genus foraged in dim light. If substantiated, Megalopta (Xenochlora) represents a reversion to diurnal foraging. There are various examples in vertebrate evolution where both dim-light vision and colour vision have reversed (reviewed by Yokoyama [8]). A morphological study retains X. nigrofemorata as the sister taxon to Megalopta [55], as per our LwOp results, but we recovered poor support for M. atra as sister clade to the remaining lowland Megalopta (electronic supplementary material, figure S3a). Our total evidence tree recovers the arrangement of ((M. (Xenochlora) + M. atra), (lowland Megalopta)) with maximal support (figure 1a).

(c). Single tribal origin of dim-light foraging

Our results place Megommation, Megaloptidia and Megalopta within a monophyletic clade, suggesting a single origin of obligate dim-light foraging, with a reversion to diurnal foraging from a dim-light common ancestor. Our conclusions should be considered tentative given the limited generic sampling in the tribe (9 of 25 (36%) augochlorine genera recognized by Michener [28]), and inconsistent support for the node leading to Megommation (moderate or high support in the total evidence tree and LwOp tree, respectively). A précis of previous augochlorine systematics is provided in the electronic supplementary material, D1. Our tree differs from these analyses [42,57,58], in that Megalopta is distal to Megommation and the sister clade of Megaloptidia. This finding is probably not a sampling artefact, as the arrangement is robust to data matrix modifications.

Our recovery of Megommation as basal sister group to the remaining dim-light augochlorines is consistent with nesting behaviour. The primitive state for Augochlorini is ground nesting [59], and Megommation is a ground nester [60]. Nesting behaviour in Megaloptidia is unknown. Anatomical features of mandibles, and scale-like setae surrounding the median pseudopygidial slit, are convergent for wood nesting augochlorines [61]; Megaloptidia possess a broad mandible with a subapical tooth [32], but differ from Megalopta in lacking: (i) teeth on the inner surface of the mandible [28, p. 408]; and (ii) tergal scale-setae. Both Megalopta and Xenochlora are stem nesters [2326], which may be ecologically advantageous in the humid tropics.

(d). Antiquity of dim-light augochlorines: ecological association with night-flowering plants and biogeography

Our temporal estimates were robust to perturbations of fossil-derived calibrates and our root age of 65 Ma for the origin of Halictinae is consistent with independent studies of bee phylogenetics [34,39]. Palaeopalynological evidence suggests that the structure of low latitude South American forest communities have remained relatively stable since the Early Eocene [62], which roughly equates with our estimates for the origin of the Augochlorini. Our results also suggest that dim-light augochlorines predate the origin of phyllostomid bats [63]. Megalopta bees use more than 60 angiosperm species at one site in central Panama (I. Lopez, A. R. Smith & W. Wcislo 2007, unpublished data), but little is known of their role as potential pollinators. Hopkins et al. [64] noted that Megalopta was the most abundant visitor to Parkia velutina in Brazil, and hypothesized that nocturnal bees may have played a role in opening a new niche (night-blooming flowers), which was subsequently exploited by bats (for a more detailed discussion, see [17]).

Our arrangement places (M. atra + M. (Xenochlora)) as the basal sister clade to all other Megalopta. Megalopta atra is unique in its montane distribution, found only at mid-elevations (approx. 1000–1500 m) in Costa Rica and Panama [24,27]. Mountain peaks as species isolation mechanisms have been empirically demonstrated [65], and should be more extreme in the tropics [66], owing to a decreased range in temperature tolerance relative to temperate species. Our results suggest a Late Miocene origin for Megalopta (approx. 11.2 Ma) and the MRCA of (M. atra + M. (Xenochlora)) (approx. 7.6 Ma). Current estimates indicate that the final closure of the Panamanian isthmus occurred in the Pliocene [67], and it is feasible [68] that ancestral Megalopta lineages traversed the Panamanic Seaway before final closure. Colonization of cloud forests during cooler climes (more broadly distributed at lower elevations) and subsequent isolation from younger lineages may be accounted for by more recent (Quaternary) climatic events, or by competitive exclusion [69,70]. The contemporary lowland lineages radiated less than 5 Ma. It seems unlikely that the common ancestor of Megalopta was a Central American cloud forest bee, and we hypothesize that M. atra represents a relictual highland species (for other examples, see [48,71,72]).

5. Summary

This study provides a phylogenetic platform from which evolutionary inferences on vision and behaviour in dim-light augochlorine bees can proceed. Results suggest a tribal origin of dim-light foraging in the Late Miocene, with a secondary reversion to diurnal foraging (Xenochlora) within the distal and most diverse lineage Megalopta. Adaptive selection tests suggest that LwOp is broadly under stabilizing selection, with a handful of sites under positive selection. Further investigation is required to fully determine the modes of visual transduction among these bees, and to relate the molecular evolution of all opsin proteins with rates of expression.

Acknowledgements

For assistance in the field and associated logistics, we would like to thank Eduardo Almeida, Ricardo Ayala, Carlos Espinosa, Paola Galgani, Therany Gonzales-Ojeda, Emmet Gowin, Gabriel Jacome, Karen Kapheim, Fatima Knoll, Gabriel Melo, Nigel Pitman, Adam Smith, Elicio Tapia, Jelle Van Sweden, Don Windsor and the Smithsonian Tropical Research Institute (STRI) support staff. We are grateful to Maribel Gonzalez and Nimiadina Herrera for laboratory assistance and Matt Kweskin for bioinformatic assistance. For constructive comments, we thank Karen Kapheim, Oscar Puebla, Sandra Rehan and two anonymous referees. Research was supported by an Earl S. Tupper Post-doctoral Fellowship (S.M.T.), general funds from STRI (W.T.W. and S.M.T.), a Royal Entomological Society Outreach Expedition Grant (S.M.T.) and a National Geographic Society Research and Exploration Grant (W.T.W. and S.M.T.).

References

  • 1.Mayr E. 1960. The emergence of evolutionary novelties. In Evolution after Darwin, vol 1. The evolution of life (ed. Tax S.), pp. 349–380 Chicago, IL: The University of Chicago Press [Google Scholar]
  • 2.Brandon R. N. 1990. Adaptation and environment. Princeton, NJ: Princeton University Press [Google Scholar]
  • 3.Darwin C. 1872. The origin of species, 6th edn. New York, NY: Gramercy Books reprint [Google Scholar]
  • 4.Land M. F., Nilsson E. 2002. Animals eyes. Oxford, UK: Oxford University Press [Google Scholar]
  • 5.Lamb T. D., Arendt D., Collin S. P. 2009. The evolution of phototransduction and eyes. Phil. Trans. R. Soc. B 364, 2791–2793 10.1098/rstb.2009.0106 (doi:10.1098/rstb.2009.0106) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Plachetzki D. C., Fong C. R., Oakley T. H. 2010. The evolution of phototransduction from an ancestral cyclic nucleotide gated pathway. Proc. R. Soc. B 277, 1963–1969 10.1098/rspb.2009.1797 (doi:10.1098/rspb.2009.1797) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Cameron S. A., Mardulyn P. 2003. The major opsin gene is useful for inferring higher level phylogenetic relationships of the corbiculate bees. Mol. Phylogenet. Evol. 28, 610–613 10.1016/S1055-7903(03)00055-1 (doi:10.1016/S1055-7903(03)00055-1) [DOI] [PubMed] [Google Scholar]
  • 8.Yokoyama S. 2008. Evolution of dim-light and color vision pigments. Annu. Rev. Genom. Hum. G. 9, 259–282 10.1146/annurev.genom.9.081307.164228 (doi:10.1146/annurev.genom.9.081307.164228) [DOI] [PubMed] [Google Scholar]
  • 9.Kouyama T., Murakami M. 2010. Structural divergence and functional versatility of the rhodopsin superfamily. Photoch. Photobiol. Sci. 9, 1458–1465 10.1039/c0pp00236d (doi:10.1039/c0pp00236d) [DOI] [PubMed] [Google Scholar]
  • 10.Yokoyama S., Radlwimmer F. B. 1998. The ‘five-sites’ rule and the evolution of red and green color vision in mammals. Mol. Biol. Evol. 15, 560–567 [DOI] [PubMed] [Google Scholar]
  • 11.Yokoyama S., Radlwimmer F. B., Blow N. S. 2000. Ultraviolet pigments in birds evolved from violet pigments by a single amino acid change. Proc. Natl Acad. Sci. USA 97, 7366–7371 10.1073/pnas.97.13.7366 (doi:10.1073/pnas.97.13.7366) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Salcedo E., Zheng L., Phistry M., Bagg E. E., Britt S. G. 2003. Molecular basis for ultraviolet vision in invertebrates. J. Neurosci. 23, 10 873–10 878 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Salcedo E., Farrell D. M., Zheng L., Phistry M., Bagg E. E., Britt S. G. 2009. The green-absorbing Drosophila Rh6 visual pigment contains a blue-shifting amino acid substitution that is conserved in vertebrates. J. Biol. Chem. 284, 5717–5722 10.1074/jbc.M807368200 (doi:10.1074/jbc.M807368200) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Carleton K. L., Kocher T. D. 2001. Cone opsin genes of African cichlid fishes: tuning spectral sensitivity by differential gene expression. Mol. Biol. Evol. 18, 1540–1550 [DOI] [PubMed] [Google Scholar]
  • 15.Frentiu F. D., Bernard G. D., Sison-Mangus M. P., Van Zandt Brower A., Briscoe A. D. 2007. Gene duplication is an evolutionary mechanism for expanding spectral diversity in the long-wavelength photopigments of butterflies. Mol. Biol. Evol. 24, 2016–2018 10.1093/molbev/msm132 (doi:10.1093/molbev/msm132) [DOI] [PubMed] [Google Scholar]
  • 16.Wakakuwa M., Stavenga D. G., Arikawa K. 2007. Spectral organization of ommatidia in flower-visiting insects. Photoch. Photobiol. 83, 27–34 10.1562/2006-03-03-IR-831 (doi:10.1562/2006-03-03-IR-831) [DOI] [PubMed] [Google Scholar]
  • 17.Wcislo W. T., Tierney S. M. 2009. Behavioural environments and niche construction: the evolution of dim-light foraging in bees. Biol. Rev. 84, 19–37 10.1111/j.1469-185X.2008.00059.x (doi:10.1111/j.1469-185X.2008.00059.x) [DOI] [PubMed] [Google Scholar]
  • 18.Warrant E. J., Kelber A., Gislén A., Greiner B., Ribi W., Wcislo W. T. 2004. Nocturnal vision and landmark orientation in a tropical halictid bee. Curr. Biol. 14, 1309–1318 10.1016/j.cub.2004.07.057 (doi:10.1016/j.cub.2004.07.057) [DOI] [PubMed] [Google Scholar]
  • 19.Kelber A., Warrant E. J., Pfaff M., Wallén R., Theobald J. C., Wcislo W. T., Raguso R. A. 2006. Light intensity limits foraging activity in nocturnal and crepuscular bees. Behav. Ecol. 17, 63–72 10.1093/beheco/arj001 (doi:10.1093/beheco/arj001) [DOI] [Google Scholar]
  • 20.Frederiksen R., Wcislo W. T., Warrant E. J. 2008. Visual reliability and information rate in the retina of a nocturnal bee. Curr. Biol. 18, 349–353 10.1016/j.cub.2008.01.057 (doi:10.1016/j.cub.2008.01.057) [DOI] [PubMed] [Google Scholar]
  • 21.Warrant E. J. 2008. Seeing in the dark: vision and visual behaviour in nocturnal bees and wasps. J. Exp. Biol. 211, 1737–1746 10.1242/jeb.015396 (doi:10.1242/jeb.015396) [DOI] [PubMed] [Google Scholar]
  • 22.Seehausen O., et al. 2008. Speciation through sensory drive in cichlid fish. Nature 455, 620–626 10.1038/nature07285 (doi:10.1038/nature07285) [DOI] [PubMed] [Google Scholar]
  • 23.Wcislo W. T., Arneson L., Roesch K., Gonzalez V. H., Smith A. R., Fernández-Marin H. 2004. The evolution of nocturnal behaviour in sweat bees, Megalopta genalis and M. ecuadoria: an escape from competitors and enemies? Biol. J. Linn. Soc. 83, 377–387 10.1111/j.1095-8312.2004.00399.x (doi:10.1111/j.1095-8312.2004.00399.x) [DOI] [Google Scholar]
  • 24.Tierney S. M., Gonzales-Ojeda T., Wcislo W. T. 2008. Biology of a nocturnal bee, Megalopta atra (Hymenoptera: Halictidae; Augochlorini), from the Panamanian highlands. J. Nat. Hist. 42, 1841–1847 10.1080/00222930802109124 (doi:10.1080/00222930802109124) [DOI] [Google Scholar]
  • 25.Tierney S. M., Gonzales-Ojeda T., Wcislo W. T. 2008. Nesting biology and social behavior of two Xenochlora bees (Hymenoptera: Halictidae: Augochlorini) from Perú. J. Kansas Entomol. Soc. 81, 61–72 10.2317/JKES-704.24.1 (doi:10.2317/JKES-704.24.1) [DOI] [Google Scholar]
  • 26.Santos L. M., Tierney S. M., Wcislo W. T. 2010. Nest descriptions of Megalopta aegis (Vachal) and M. guimaraesi Santos & Silveira (Hymenoptera, Halictidae) from the Brazilian Cerrado. Rev. Bras. Entomol. 54, 332–334 10.1590/S0085-56262010000200018 (doi:10.1590/S0085-56262010000200018) [DOI] [Google Scholar]
  • 27.Engel M. S. 2006. A new nocturnal bee of the genus Megalopta, with notes on other Central American species. Mitt. Int. Entomol. Ver. 31, 37–49 [Google Scholar]
  • 28.Michener C. D. 2007. The bees of the world, 2nd edn. Baltimore, MD: The Johns Hopkins University Press [Google Scholar]
  • 29.Moure J. S., Urban D., Melo G. A. R. 2007. Catalogue of bees (Hymenoptera, Apoidea) in the neotropical region. Curitiba: Sociedade Brasileira de Entomologia [Google Scholar]
  • 30.Santos L. M., Silveira F. A. 2009. Taxonomic notes on Megalopta Smith, 1853 (Hymenoptera: Halictidae: Augochlorini) with a synopsis of the species in the state of Minas Gerais, Brazil. Zootaxa 2194, 1–20 [Google Scholar]
  • 31.Gonzalez V. H., Griswold T., Ayala R. 2010. Two new species of nocturnal bees of the genus Megalopta (Hymenoptera: Halictidae). Rev. Biol. Trop. 58, 255–263 [DOI] [PubMed] [Google Scholar]
  • 32.Engel M. S., Brooks R. W. 1998. The nocturnal bee genus Megaloptidia (Hymenoptera: Halictidae). J. Hymenopt. Res. 7, 1–14 [Google Scholar]
  • 33.Gonçalves R. B., Santos L. M. 2010. Notes and new species of the halictine genus Megommation Moure (Hymenoptera: Apidae: Augochlorini). Zootaxa 2685, 57–64 [Google Scholar]
  • 34.Danforth B. N., Brady S. G., Sipes S. D., Pearson A. 2004. Single-copy nuclear genes recover cretaceous-age divergences in bees. Syst. Biol. 53, 309–326 10.1080/10635150490423737 (doi:10.1080/10635150490423737) [DOI] [PubMed] [Google Scholar]
  • 35.Almeida E. A. B., Danforth B. N. 2009. Phylogeny of colletid bees (Hymenoptera: Colletidae) inferred from four nuclear genes. Mol. Phylogenet. Evol. 50, 290–309 10.1016/j.ympev.2008.09.028 (doi:10.1016/j.ympev.2008.09.028) [DOI] [PubMed] [Google Scholar]
  • 36.Berger J. 2006. The case for objective Bayesian analysis. Bayesian Anal. 1, 385–402 10.1214/06-BA115 (doi:10.1214/06-BA115) [DOI] [Google Scholar]
  • 37.Brady S. G., Larkin L., Danforth B. N. 2009. Bees, ants and stinging wasps (Aculeata). In The timetree of life (eds Hedges S. B., Kumar S.), pp. 264–269 New York, NY: Oxford University Press [Google Scholar]
  • 38.Genise J. F., Bown T. M. 1996. Uruguay Roselli 1938 and Rosellichnus, n. ichnogenus: two ichnogenera for clusters of fossil bee cells. Ichnos 4, 199–217 10.1080/10420949609380127 (doi:10.1080/10420949609380127) [DOI] [Google Scholar]
  • 39.Brady S. G., Sipes S. D., Pearson A., Danforth B. N. 2006. Recent and simultaneous origins of eusociality in halictid bees. Proc. R. Soc. B 273, 1643–1649 10.1098/rspb.2006.3496 (doi:10.1098/rspb.2006.3496) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Engel M. S., Peñalver E. 2006. A Miocene bee from Rubielos de Mora Basin, Spain (Hymenoptera: Halictidae). Am. Mus. Novit. 3503, 1–10 10.1206/0003-0082(2006)503[0001:AMHBFR]2.0.CO;2 (doi:10.1206/0003-0082(2006)503[0001:AMHBFR]2.0.CO;2) [DOI] [Google Scholar]
  • 41.Iturralde-Vinent M. A., MacPhee R. D. E. 1996. Age and paleogeographical origin of Dominican amber. Science 273, 1850–1852 10.1126/science.273.5283.1850 (doi:10.1126/science.273.5283.1850) [DOI] [Google Scholar]
  • 42.Eickwort G. C. 1969. A comparative morphological study and generic revision of the augochlorine bees. Univ. Kansas Sci. Bull. 48, 325–524 [Google Scholar]
  • 43.Briscoe A. D. 2002. Homology modeling suggests a functional role for parallel amino acid substitutions between bee and butterfly red- and green-sensitive opsins. Mol. Biol. Evol. 19, 983–986 [DOI] [PubMed] [Google Scholar]
  • 44.Somanathan H., Borges R. M., Warrant E. J., Kelber A. 2008. Nocturnal bees learn landmark colours in starlight. Curr. Biol. 18, R996–R997 10.1016/j.cub.2008.08.023 (doi:10.1016/j.cub.2008.08.023) [DOI] [PubMed] [Google Scholar]
  • 45.Menzel R. 1981. Achromatic vision in the honeybee at low light intensities. J. Comp. Physiol. A 141, 389–393 10.1007/BF00609941 (doi:10.1007/BF00609941) [DOI] [Google Scholar]
  • 46.Skorupski P., Chittka L. 2010. Differences in photoreceptor processing speed for chromatic and achromatic vision in the bumblebee, Bombus terrestris. J. Neurosci. 30, 3896–3903 10.1523/JNEUROSCI.5700-09.2010 (doi:10.1523/JNEUROSCI.5700-09.2010) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Baird E., Kreiss E., Wcislo W. T., Warrant E. J., Dacke M. 2011. Nocturnal insects use optic flow for flight control. Biol. Lett. 7, 499–501 10.1098/rsbl.2010.1205 (doi:10.1098/rsbl.2010.1205) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Danforth B. N., Eardley C., Packer L., Walker K., Pauly A., Randrianambinintosa F. J. 2008. Phylogeny of Halictidae with an emphasis on endemic African Halictinae. Apidologie 39, 86–101 10.1051/apido:2008002 (doi:10.1051/apido:2008002) [DOI] [Google Scholar]
  • 49.Pohl N., Sison-Mangus M. P., Yee E. N., Liswi S. W., Briscoe A. D. 2009. Impact of duplicate gene copies on phylogenetic analysis and divergence time estimates in butterflies. BMC Evol. Biol. 9, 99. 10.1186/1471-2148-9-99 (doi:10.1186/1471-2148-9-99) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Spæthe J., Briscoe A. D. 2004. Early duplication and functional diversification of the opsin gene family in insects. Mol. Biol. Evol. 21, 1583–1594 10.1093/molbev/msh162 (doi:10.1093/molbev/msh162) [DOI] [PubMed] [Google Scholar]
  • 51.Velarde R. A., Sauer C. D., Walden K. K. O., Fahrbach S. E., Robertson H. M. 2005. Pteropsin: a vertebrate-like non-visual opsin expressed in the honey bee brain. Insect Biochem. Mol. 35, 1367–1377 10.1016/j.ibmb.2005.09.001 (doi:10.1016/j.ibmb.2005.09.001) [DOI] [PubMed] [Google Scholar]
  • 52.Mardulyn P., Cameron S. A. 1999. The major opsin in bees (Insecta: Hymenoptera): a promising nuclear gene for higher level phylogenetics. Mol. Phylogenet. Evol. 12, 168–172 10.1006/mpev.1998.0606 (doi:10.1006/mpev.1998.0606) [DOI] [PubMed] [Google Scholar]
  • 53.Berry R. P., Wcislo W. T., Warrant E. J. 2011. Ocellar adaptations for dim light vision in a nocturnal bee. J. Exp. Biol. 214, 1283–1293 10.1242/jeb.050427 (doi:10.1242/jeb.050427) [DOI] [PubMed] [Google Scholar]
  • 54.Shen Y.-Y., Liu J., Irwin D. M., Zhang P. 2010. Parallel and convergent evolution of the dim-light vision gene RH1 in bats (Order: Chiroptera). PLoS ONE 5, e8838. 10.1371/journal.pone.0008838 (doi:10.1371/journal.pone.0008838) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Santos L. M. 2010. Análise cladística das abelhas do gênero Megalopta Smith, 1853 (Apidae: Halictinae, Augochlorini) e revisão taxonômica das espécies Brasileiras. Masters Thesis, Universidade Federal do Paraná, Brazil [Google Scholar]
  • 56.Engel M. S., Brooks R. W., Yanega D. 1997. New genera and subgenera of augochlorine bees (Hymenoptera: Halictidae). Sci. Pap. Nat. Hist. Mus. Univ. Kansas 5, 1–21 [Google Scholar]
  • 57.Danforth B. N., Eickwort G. C. 1997. The evolution of social behavior in the augochlorine sweat bees (Hymenoptera: Halictidae) based on a phylogenetic analysis of the genera. In The evolution of social behaviour in insects and arachnids (eds Choe J., Crespi B.), pp. 270–292 Cambridge, UK: Cambridge University Press [Google Scholar]
  • 58.Engel M. S. 2000. Classification of the bee tribe Augochlorini (Hymenoptera: Halictidae). Bull. Am. Mus. Nat. Hist. 250, 1–89 (doi:10.1206/0003-0090(2000)250<0001:COTBTA>2.0.CO;2) [DOI] [Google Scholar]
  • 59.Eickwort G. C., Sakagami S. F. 1979. A classification of nest architecture of bees in the tribe Augochlorini (Hymenoptera: Halictidae; Halictinae), with description of a Brazilian nest of Rhinocorynura inflaticeps. Biotropica 11, 28–37 10.2307/2388168 (doi:10.2307/2388168) [DOI] [Google Scholar]
  • 60.Michener C. D., Lange R. B. 1958. Observations on the behavior of Brasilian halictid bees, III. Univ. Kansas Sci. Bull. 39, 473–505 [Google Scholar]
  • 61.Wcislo W. T., Gonzalez V. H., Engel M. S. 2003. Nesting and social behavior of a wood-dwelling neotropical bee, Augochlora isthmii (Schwarz), and notes on a new species, A. alexanderi Engel (Hymenoptera: Halictidae). J. Kansas Entomol. Soc. 76, 588–602 [Google Scholar]
  • 62.Jaramillo C., et al. 2010. Effects of rapid global warming at the Paleocene–Eocene boundary on Neotropical vegetation. Science 330, 957–961 10.1126/science.1193833 (doi:10.1126/science.1193833) [DOI] [PubMed] [Google Scholar]
  • 63.Fleming T. H., Geiselman C., Kress W. J. 2009. The evolution of bat pollination: a phylogenetic perspective. Ann. Bot. 104, 1017–1043 10.1093/aob/mcp197 (doi:10.1093/aob/mcp197) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Hopkins M. J. G., Hopkins H. C. F., Sothers C. A. 2000. Nocturnal pollination of Parkia velutina by Megalopta bees in Amazonia and its possible significance in the evolution of chiropterophily. J. Trop. Ecol. 16, 733–746 10.1017/S0266467400001681 (doi:10.1017/S0266467400001681) [DOI] [Google Scholar]
  • 65.Flenley J. R. 1979. The Late Quaternary vegetational history of the equatorial mountains. Prog. Phys. Geogr. 3, 488–509 10.1177/030913337900300402 (doi:10.1177/030913337900300402) [DOI] [Google Scholar]
  • 66.Janzen D. H. 1967. Why mountain passes are higher in the tropics. Am. Nat. 101, 233–246 10.1086/282487 (doi:10.1086/282487) [DOI] [Google Scholar]
  • 67.Coates A. G., Obando J. A. 1996. Geological evolution of the Central American Isthmus. In Evolution and environment in tropical America (eds Jackson J. B. C., Budd A. F., Coates A. G.), pp. 21–56 Chicago, IL: University of Chicago Press [Google Scholar]
  • 68.Fuller S., Schwarz M., Tierney S. 2005. Phylogenetics of the allodapine bee genus Braunsapis: historical biogeography and long-range dispersal over water. J. Biogeogr. 32, 2135–2144 10.1111/j.1365-2699.2005.01354.x (doi:10.1111/j.1365-2699.2005.01354.x) [DOI] [Google Scholar]
  • 69.Mayr E., Diamond J. 1976. Birds on islands in the sky: origin of the montane avifauna of northern Melanesia. Proc. Natl Acad. Sci. USA 73, 1765–1769 10.1073/pnas.73.5.1765 (doi:10.1073/pnas.73.5.1765) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Barrantes G. 2009. The role of historical and local factors in determining species composition of the highland avifauna of Costa Rica and western Panamá. Rev. Biol. Trop. 57(Suppl. 1), 333–349 [Google Scholar]
  • 71.Roubik D. W., Lobo-Segura J. A., Camargo J. M. F. 1997. New stingless bee genus endemic to Central American cloudforests: phylogenetic and biogeographic implications (Hymenoptera: Apidae: Meliponini). Syst. Entomol. 22, 67–80 10.1046/j.1365-3113.1997.d01-19.x (doi:10.1046/j.1365-3113.1997.d01-19.x) [DOI] [Google Scholar]
  • 72.Danforth B. N., Conway L., Ji S. 2003. Phylogeny of eusocial Lasioglossum reveals multiple losses of eusociality within a primitively eusocial clade of bees (Hymenoptera: Halictidae). Syst. Biol. 52, 23–36 10.1080/10635150390132687 (doi:10.1080/10635150390132687) [DOI] [PubMed] [Google Scholar]

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