A multilocus phylogeny reveals deep lineages within African galagids (Primates: Galagidae)
© Pozzi et al.; licensee BioMed Central Ltd. 2014
Received: 9 December 2013
Accepted: 18 March 2014
Published: 2 April 2014
Bushbabies (Galagidae) are among the most morphologically cryptic of all primates and their diversity and relationships are some of the most longstanding problems in primatology. Our knowledge of galagid evolutionary history has been limited by a lack of appropriate molecular data and a paucity of fossils. Most phylogenetic studies have produced conflicting results for many clades, and even the relationships among genera remain uncertain. To clarify galagid evolutionary history, we assembled the largest molecular dataset for galagos to date by sequencing 27 independent loci. We inferred phylogenetic relationships using concatenated maximum-likelihood and Bayesian analyses, and also coalescent-based species tree methods to account for gene tree heterogeneity due to incomplete lineage sorting.
The genus Euoticus was identified as sister taxon to the rest of the galagids and the genus Galagoides was not recovered as monophyletic, suggesting that a new generic name for the Zanzibar complex is required. Despite the amount of genetic data collected in this study, the monophyly of the family Lorisidae remained poorly supported, probably due to the short internode between the Lorisidae/Galagidae split and the origin of the African and Asian lorisid clades. One major result was the relatively old origin for the most recent common ancestor of all living galagids soon after the Eocene-Oligocene boundary.
Using a multilocus approach, our results suggest an early origin for the crown Galagidae, soon after the Eocene-Oligocene boundary, making Euoticus one of the oldest lineages within extant Primates. This result also implies that one – or possibly more – stem radiations diverged in the Late Eocene and persisted for several million years alongside members of the crown group.
KeywordsConcatenation Species tree Divergence times Nuclear DNA Eocene-Oligocene boundary Strepsirhini Lorisoidea
African galagids (Family Galagidae) are small, nocturnal primates widely distributed in sub-Saharan Africa, from as far west as Senegal (Galago senegalensis) to Somalia in the east (Galago gallarum), and from as far north as southern Sudan (Galago senegalensis) to South Africa (Otolemur crassicaudatus). Members of the family Galagidae, commonly known as galagos or bushbabies, show a diverse set of adaptations in their diet, ecology, and social behavior [1, 2]. Their body masses range from that of the Rondo galago (Galagoides rondoensis), one of the smallest living primates (~60 g), to the cat-sized greater galago (Otolemur crassicaudatus) weighing up to 2 kg [1–3]. With such a wide range of body mass, galagos show a high diversity of dietary adaptations, including feeding on insects (up to 70% for the smallest species), flowers, fruits, exudates, and gum [1, 2]. For instance, the medium-sized needle-clawed galagos (Euoticus spp.) base up to 75% of their diet on gum [1, 2, 4]. In general, the social systems of galagos have been poorly studied. Originally thought to be solitary, nocturnal strepsirhines are now viewed as having social structures based on dispersed “social networks” revealed by sleeping associations, most often involving females. Within this framework, authors have described social organizations that combine solitary foraging with one male-multifemale sleeping associations , dispersed multi-male social structures (e.g. Otolemur spp. [5, 6]), where males have larger territories and related females cluster together in small groups, and dispersed monogamy (e.g. Galagoides cocos[6, 7]), whereby one male/one female or one male/two or three females form associations [1, 2, 5–7].
Because of their nocturnal habits and often inaccessible locations, galagos are one of the most understudied groups of primates and little is known about the biology of most species. Species diversity has long been underestimated because of a lack of overt morphological diversity [1, 8]. Over the last two decades, several new morphologically cryptic species have been reported based primarily on advertisement calls. Vocal signals used in mate attraction are likely to be reliable indicators of species identity and have been used extensively in taxonomic studies of primates, including gibbons [9–11], tamarins [12, 13], tarsiers , guenons [15, 16], and colobines [17, 18]. Traditionally, only five species and two genera of galagos were recognized, Euoticus and Galago. More recently, at least three additional genera (Otolemur, Galagoides, and Sciurocheirus) and almost twenty new species have been described [1, 2, 20].
Various studies have attempted to clarify the phylogenetic relationships within galagids by using morphological or molecular data, or a combination of the two [23–31] (Figure 1). However, a clear picture of galagid phylogeny has been elusive and the relationships among genera are still debated. Besides the taxonomic validity of Galagoides, another major source of disagreement is the position of the enigmatic needle-clawed galago (Euoticus spp.) (Figure 1). Some molecular studies based on mitochondrial DNA found Euoticus closely related to members of Galago, and more specifically, the sister species of Galago matschiei[25, 27] (Figure 1b). Masters et al.  used a combination of molecular and morphological characters and placed the genus Euoticus as sister taxon to Galago, a position also supported by Groves  on the basis of morphological and behavioral traits (although he submerged the genus Galagoides within the genus Galago) (Figure 1b). An alternative view of galagid phylogeny was proposed by Stiner and Turmelle . In their analysis of partial mitochondrial DNA sequences (cytochrome b, 12S and 16S rRNAs), they reconstructed Euoticus as the basal divergence with no particular relationship to Galago. This hypothesis was supported in a more comprehensive molecular study of primates conducted by Springer et al.  (Figure 1c). The basal position of needle-clawed galagos raises interesting questions about the adaptations and evolutionary history of the entire family. As stated above, Springer et al.  also failed to infer Galagoides monophyly, with the eastern species (represented in their study by Galagoides orinus, Galagoides zanzibaricus, and Galagoides granti) clustering together with Otolemur + Sciurocheirus. Despite their inclusion of multiple genes and species, the dataset of Springer et al.  had a lot of missing data (several species were represented by only one or a few loci) and the support for many nodes within Galagidae was extremely low (bootstrap values < 50%).
Another important open question about the evolutionary history of galagids is the time of their divergence. The paleontological record for crown galagids is quite sparse and mainly restricted to a few Pliocene-Pleistocene species in eastern Africa, such as Otolemur howelli (Shungura formation, Omo, Ethiopia, ~3.0-3.2 Ma ) and possibly some specimens belonging to Galago senegalensis (Olduvai Gorge, Tanzania, ~1.8 Ma ) and Galagoides cf. zanzibaricus (Omo, Ethiopia, ~3.0 Ma ). A possible exception is Galago farafraensis found in Sheikh Abdallah, Egypt and dated as Late Miocene (~10-11 Ma) . This species is known from several isolated teeth and postcranial elements which are similar in morphology to Galago senegalensis, but more like Galagoides demidoff in size. Another Miocene galagid, represented by a single mandible, was found in the Tugen Hills (Lukeino formation) in Kenya, and is dated around 6 Ma [35, 36]. However, the phylogenetic placement of this fossil specimen is still uncertain . Finally, “Galago” sadimanensis, once considered part of the crown radiation, is now placed in its own genus, Laetolia (Laetoli, ~3.5-5.0 Ma) and probably represents a primitive sister taxon to crown galagids .
While no crown galagids are known from sediments older than the Late Miocene/Early Pliocene, the oldest occurrence of stem members of this family date back to the Late Eocene, when it is represented by two species found in the sediments at Fayum, Egypt: Saharagalago mirrensis (Fayum, ~36.9-42 Ma ) and Wadilemur elegans (Fayum, ~35 Ma ). The putative lorisid Karanisia clarki from the later Eocene, initially interpreted as closely related to the genus Arctocebus, is now considered a stem lorisiform [39, 40]. The occurrence of Saharagalago mirrensis at ~37 Ma suggests that lorises and galagos had diverged by the close of the Middle Eocene [41, 42]. Other stem galagids from East Africa, including members of the genera Progalago (~19 Ma [43, 44]) and Komba (15–20 Ma [36, 44, 45]), are dated more recently, as Early-Middle Miocene . The phylogenetic placement of Progalago, however, is still debated, with authors classifying it as a stem galagid [37, 38] or as a crown lorisiform of uncertain affinities [46, 47].
Many recent molecular studies have used the stem galagid Saharagalago to date the divergence between Lorisidae and Galagidae, and have suggested Late Oligocene/Early Miocene origins for crown galagids. Fabre et al.  estimated the origin of crown galagids at ~25 Ma, while Springer et al.  placed it at ~23 Ma. Molecular studies also suggest fairly deep divergences among the main lineages within the family. For instance, the genus Otolemur was estimated to have diverged approximately 8 Ma, while the common ancestor of the members of Galagoides in eastern Africa (zanzibaricus-granti-orinus) was estimated to have lived between 7.5-10 Ma e.g.[27, 28].
To clarify phylogenetic relationships within the family Galagidae, and specifically the position of Euoticus and the taxonomic validity of the genus Galagoides, we obtained DNA sequence data representing the main lineages within Galagidae for 27 independent nuclear loci. As an initial step we performed maximum-likelihood and Bayesian concatenated phylogenetic analyses, and used Bayesian relaxed-clock methods to infer dates for the diversification of the galagid family. The concatenation of multiple loci has been used extensively in primatology [27, 28, 31, 48, 49] although, despite the practical advantages of this approach, both simulation and empirical studies have shown that this method can perform poorly in cases of high tree discordance across different loci [50–52]. More specifically, phylogenetic reconstructions based on concatenated datasets do not account for individual gene histories, and can therefore produce misleading topologies, with most of the nodes highly supported (high bootstrap values and/or posterior probabilities) despite their not reflecting the actual evolutionary history of the species [52–56]; but see also .
Alternatively, gene tree-species tree methods, which use a coalescence approach, take into account the possible discordance among genes – mainly as a consequence of incomplete lineage sorting (ILS) – and reconstruct the species tree within which each individual gene tree is embedded [52, 58, 59]. Coalescence methods have recently been applied to primate phylogenies [60–64], and are likely to provide a more realistic picture of the primate tree [62, 65]. Hence, as a second step, we applied a coalescence-based species tree approach to phylogenetic inference within galagids, and compared our results to those obtained from concatenated analyses.
Branch lengths across the tree were comparable between different analyses (RAxML, MrBayes, and BEAST) and showed a short internode between the Lorisidae/Galagidae split and the origin of the African and the Asian lorisid clades (Figure 2 and Additional file 1). Within the Lorisidae, both the Asian (Nycticebus + Loris) and the African (Arctocebus + Perodicticus) clades were inferred as monophyletic with high support across all analyses (BP = 100% and PP = 1.00).
Within galagids, all analyses found maximal support for most of the nodes. The genus Euoticus was strongly supported as the sister taxon of all other galagids (basal divergence within the family; BP = 100% and PP = 1.00), rather than being closely related to the genus Galago, as suggested in some previous studies. All analyses found the genus Galagoides not to be monophyletic. Both maximum likelihood and Bayesian analyses supported two distinct clades within “Galagoides”: one included the species Galagoides demidoff and Galagoides thomasi (hereafter referred as the western clade) (BP = 100% and PP = 1.00) and the other included Galagoides cocos and Galagoides zanzibaricus (the eastern clade; BP = 100% and PP = 1.00). The western clade was maximally supported (BP = 100% and PP = 1.00) as the sister taxon to a clade including Otolemur, Galago and the Galagoides eastern clade. Within this clade, members of the eastern clade were strongly supported as the sister group of the genus Galago (including Galago senegalensis, Galago moholi, and Galago matschiei) (BP = 96% and PP = 1.00), to the exclusion of members of the genus Otolemur (O. crassicaudatus + O. garnettii) (BP = 100% and PP = 1.00).
Coalescence-based species tree analyses
To evaluate support across individual loci for the nodes inferred by the concatenated analyses, we ran MrBayes analyses for each locus. Strong support or topological congruence between individual loci and the concatenated tree is not necessarily expected since the level of congruence may be affected by several factors, including homoplasy, low levels of variation, or gene tree heterogeneity. However, even moderate support across many loci can provide evidence that concatenated results are not driven by only a few genes. In order to evaluate the effect of missing data in the gene tree-species analyses, we compiled two dataset with 27 (hereafter 27LOCI) and 19 loci (hereafter 19LOCI), respectively. The latter dataset was reduced to only 19 loci in order to avoid missing data at the locus level (every taxon was represented for all 19 loci; see Methods for details).
Bayesian analyses of individual genes generally supported some clades, including the monophyly of Lorisoidea, African lorisids, Asian lorisids, and some sister relationships at the species level (Galagoides thomasi and Galagoides demidoff, and Galagoides cocos and Galagoides zanzibaricus) in both datasets (27LOCI and 19LOCI). Several loci, however, yielded poor resolution and low support for most nodes (see Additional file 2). For instance, the loci APP and ZIC3 showed high support (PP > 0.95) for only two and three nodes out of 13, respectively. Average levels of support (i.e. PP) across loci ranged from 0.21 to 1.00 in the dataset 27LOCI, and between 0.26 and 0.99 in the dataset 19LOCI. The average posterior probability across loci was higher than 0.70 for four out of 13 nodes in the dataset 27LOCI (~31%) and for seven out of 12 nodes in the dataset set 19LOCI (58%). Except for the root (Node 1), the highest level of support across loci was found for the sister taxon relationship between Galagoides cocos and Galagoides zanzibaricus, with an average PP of 0.91 (27LOCI: 77.8% loci with PP > 0.95) and 0.94 (19LOCI: ~95% loci with PP > 0.95). In both datasets, the two nodes that showed the lowest support in the individual gene analyses were Node 2 (relationships among African lorisids, Asian lorisids, and galagids) and Node 9 (relationships among Galago, Otolemur, and the eastern Galagoides clade), with average PP ranging between 0.05 and 0.29 (see Additional file 2). For these two nodes, several loci supported alternative topologies. For instance, in the 27LOCI dataset, eight loci supported the relationship between Asian lorisids and galagids (node 2A: PP = 0.20 [0.45-0.99]), eleven loci supported the monophyly of lorisids (node 2C: PP = 0.24 [0.34-0.87]), and only two loci supported the sister relationship between African lorisids and galagids (node 2B: PP = 0.05 [0.26-1.00]) (see Additional file 2). A similar result was inferred for the dataset 19LOCI, with average support of 0.26 for Node 2A (7 loci [0.36-0.93]), 0.06 for Node 2B (3 loci [0.22-0.70]), and 0.20 for node 2C (6 loci [0.34-0.84]).
Divergence time estimates
Divergence estimates between sister species were unexpectedly old for most of the taxa analyzed in this dataset: Galagoides cocos and Galagoides zanzibaricus diverged ~3.5 Ma (3.58 Ma; 95% HPD = 2.57-4.63) and O. garnettii and O. crassicaudatus at ~6.5 Ma (6.56 Ma; 95% HPD = 5.06-8.09). In contrast, the clade containing Galago moholi and Galago senegalensis was estimated to be quite recent (1.23 Ma; 0.77-1.75); however, Galago moholi was inferred to be paraphyletic in both ML and MB analyses conducted on this dataset (Figure 2). Galagoides demidoff was also inferred to be paraphyletic in the analyses, and the divergence among the three specimens in the western clade (two Galagoides demidoff and one thomasi) was dated as Late Miocene, approximately 9 Ma (9.33 Ma; 95% HPD = 7.67-11.09). Estimates for all nodes in the BEAST tree are presented in Additional file 1, along with 95% HPD intervals.
In this study, we have provided new molecular data to assess phylogenetic relationships and divergence dates within the family Galagidae. We assembled the largest molecular dataset for galagos to date by sequencing 27 independent loci totaling > 18,000 base pairs. With the exception of the genus Sciurocheirus, all known major galagid lineages were included in the study.
Our phylogenetic analyses showed strong support for most of the nodes across both Galagidae and Lorisidae. However, weak support was found for the relationships between galagids, and African and Asian lorisids. The family Lorisidae was inferred to be either monophyletic (ML and BEAST) or paraphyletic, with a sister relationship between Asian lorises and galagos (MB), although both arrangements were relatively poorly supported across all analyses. Similarly, the gene tree-species tree analyses inferred a sister relationship between Asian lorisids and galagids, to the exclusion of the African lorisids, with low support. The analyses of individual loci showed a high level of discordance across different genes, and, in most cases, the loci that supported one or other hypothesis showed low posterior probability values.
The interrelationships among members of Lorisoidea have been problematic and little agreement has been reached across studies . Morphologically, lorises represent probably one of “the best-diagnosed clades within primates” . Members of this group share a large number of putative morphological synapomorphies of the skull (e.g. raised temporal lines), dentition (e.g. diminution of M3), and postcrania (e.g. reduction of the tail; fore- and hindlimbs of near equal length; retia mirabilia in wrists and ankles) [69–73]. In addition to morphological traits, numerous behavioral, physiological, and ecological characteristics link Asian and African lorises [4, 46, 71–73]. Several of these shared traits are related to "slow-climbing" locomotion . However, the validity of the lorisid clade has been challenged by several molecular studies which failed to support the monophyletic status of the family, suggesting a close relationship between galagids and either Asian ( (cytochrome b), [26, 31, 68, 74–76]; this study) or African lorisids [77, 78]. The only unambiguous molecular evidence to date that supports lorisid monophyly is the shared presence of three mobile elements (SINEs ). Although SINEs have been proposed to be good phylogenetic markers [79–81], in the presence of short internodes they can be affected by ILS [80, 82]. While most molecular studies have found lorises to be paraphyletic, the resolution of this node has been neither consistent nor robust [25, 27, 28, 31, 68, 75, 76, 79]. More recently, two studies involving multiple loci combined into a single matrix supported the monophyly of the family Lorisidae [28, 49], but only in Perelman et al.  this topology was strongly supported.
The phylogenetic analyses conducted in this study show a relatively short internode between the origins of the crown lorisoids and the divergence of the two families, Lorisidae and Galagidae. The short internal branch that separates the crown lorisoids and the crown lorisids has been pointed out by several authors [25, 47, 68, 75], and it may be one of the reasons why molecular data have failed to provide convincing support for any of the three alternative topologies. Despite the inclusion of a large number of loci and a comprehensive taxonomic sampling of lorisoids, our study also failed to resolve the relationships among Asian lorises, African lorises, and galagids with any reliability. Gene tree-species tree analyses provided some support for the sister relationship between Asian lorises and galagos, but more data are needed to clarify this issue. Future phylogenomic studies should include longer loci in order to test the hypothesis of ILS in a coalescence framework. Long – and likely more informative - loci have been suggested as advantageous for species tree estimation, especially when coalescent methods are used .
The short length of the branch dividing crown lorisoids from lorisids raises interesting questions about the evolutionary history of this group. If lorises are indeed monophyletic, all their shared morphological, physiological, and ecological adaptations must have evolved relatively rapidly. Alternatively, the "slow-climbing" features of lorisid anatomy may be plesiomorphic for all lorisoids . Both the fossil record and reconstructions of the ancestral morphotype support the idea of a more generalized ancestor, with a progressive morphological separation between two related clades, the ‘slow-climbing’ lorises and the ‘fast-leaping’ galagos [46, 47]. A third hypothesis is that the unique morphological features shared by the African and Asian lorisids evolved in parallel in the two clades , making the lorises one of the most remarkable cases of parallel evolution within primates [47, 68].
Our phylogenetic analyses help to clarify several aspects of galagid relationships. First, this study provides strong support for the basal position of the enigmatic genus Euoticus within Galagidae [28, 30] as opposed to a sister relationship between the needle-clawed galagos and members of the genus Galago[25–27, 31]. A possible explanation for these two alternative reconstructions is that ILS may affect the phylogenetic placement of Euoticus. All the studies that supported the close relationship between Euoticus and Galago were based on mitochondrial DNA, and it is possible that mitochondrial phylogeny disagrees with the rest of the genome, as is known for other primate groups [76, 78]. Unfortunately, complete mitochondrial genomes are available for only two galagid genera (Otolemur and Galago), and further studies are needed to explore the level of incongruence between mitochondrial and nuclear data. However, we believe ILS to be unlikely in this specific instance. First, the study conducted by Stiner and Turmelle  was also based on mitochondrial sequences and, since the mitochondrial genome behaves like a single locus, it is difficult to explain the discrepancy between phylogenies based on the same marker. Second, ILS is more likely to occur in cases of short internodes (little time between speciation events) and/or high effective population sizes [50–52]. The branch lengths inferred from this study showed very long internodes between Euoticus and members of the genus Galago. An alternate hypothesis is that the inaccurate taxonomic allocation of Euoticus specimens may have affected some phylogenetic reconstructions. Inaccurate identifications of specimens in museum collections are quite common within galagids [8, Masters and Couette, pers. comm.].
A close relationship between needle-clawed galagos and lesser galagos has also been suggested by some morphological studies [71, 72]. Members of Euoticus and Galago share some similarities in their cheek tooth and skull morphology, including a marked degree of basicranial flexion and a short, square snout . Based on these morphological similarities and the sister-group relationship with members of the genus Galago, Masters et al.  suggested downgrading Euoticus to a subgenus of Galago. However, Euoticus also shows some traits in common with lorises, probably as an adaptation to strengthen the skull morphology for bark chewing and gum scraping . These potential convergences make the phylogenetic placement of Euoticus uncertain based solely on morphological traits. For instance, Masters and Brothers  found the position of Euoticus to switch from basal in the galagid tree to the sister-taxon of Galago as a consequence of outgroup choice or weighting scheme for morphological characters. Our study strongly supports the basal divergence of Euoticus within the family, which provides a possible explanation for the fact that Euoticus has anomalously short tarsal regions, particularly when compared with Galago, which contains the most specialized leapers in the family . According to our reconstruction, Euoticus is likely to have diverged before the major tarsal elongation took place in Galagidae. Future studies will include more specimens of this genus to confirm its phylogenetic placement within the galagids, and also to investigate the validity of its two putative species, E. pallidus and E. elegantulus.
Our results also strongly indicate that the genus Galagoides is not monophyletic. Members of this genus belong to two independent clades, one including Galagoides demidoff-Galagoides thomasi (western clade) and the other including Galagoides zanzibaricus-Galagoides cocos (eastern clade). The western clade was recovered as the sister group of all the other galagids except Euoticus, while the eastern clade was strongly supported as the sister taxon of the genus Galago.
Analyses of morphological data have traditionally supported the monophyly of this genus (e.g., [26, 72, 84]), but most analyses of molecular data have contradicted this finding ([24–28, 31], this study). As a consequence, Galagoides has been reported as a “wastebasket taxon of plesiomorphic species” [24, 26, 30]. Our study further supports the hypothesis that Galagoides is not monophyletic and the genus Galagoides, sensu stricto (including only demidoff and thomasi), represents an independent clade from both Galago and the remaining ‘Galagoides’ (eastern clade).
The generic name Galagoides was first used to describe Galagoides demidoff, but no name is available for members of the zanzibaricus group. The sister group relationship between Galago and ‘Galagoides’ (eastern clade) suggests the possibility of including the Zanzibar galagos within the genus Galago. Although previous studies classified Galagoides zanzibaricus as a subspecies of Galago senegalensis, it is clearly not only a distinct species [21, 23, 86], but deserves to be separated at a generic level. The definition of a genus is somewhat arbitrary but most authorities agree that a genus should be monophyletic and occupy “an ecological situation - or adaptive zone - that is different from that occupied by the species of another genus” . Although they form a monophyletic group, Zanzibar galagos differ from the lesser galagos (Galago) in several aspects: smaller body size (usually < 200 g), shorter limbs and lighter build, and characters of the skull and teeth . Species of the genus Galago are usually restricted to dry woodlands and savannahs (with the exception of Galago matschiei), while the Zanzibar galagos inhabit the lowland and coastal forests of eastern Africa. Acoustically Galago spp. do not give buzz calls, and their recognition calls are highly variable in length . We posit that morphological, behavioral, and ecological differences indicate that the Zanzibar galagos should be placed in a new genus for which a new name is required (Masters et al., in preparation). The two species thomasi and demidoff would remain in the genus Galagoides, while the new genus would include all members of the Zanzibar complex (zanzibaricus, cocos, and granti). ‘Galagoides’ granti was not included in this study but all studies conducted to date have strongly supported its close affiliation with ‘Galagoides’ zanzibaricus[27–29, 31]. No clear classification is available for the other species currently ascribed to the genus Galagoides due to the absence of genetic data. To date only ‘Galagoides’ orinus has been included in phylogenetic studies, and it was inferred as the sister taxon to the Zanzibar clade [28, 29]. If this topology is confirmed, ‘Galagoides’ orinus should be reclassified within the new genus; however, a new designation would be premature at this stage, since those phylogenetic reconstructions were based on a limited amount of genetic data (partial 12S rRNA). No genetic data are currently available for ‘Galagoides’ rondoensis, ‘Galagoides’ nyasae, and the still undescribed Mt. Rungwe galago (‘Galagoides’ sp. nov.) . Future studies should include these species of dwarf galagos in order to test their phylogenetic placement in relation to the Zanzibar group.
The Zanzibar dwarf galagos (‘Galagoides’) were strongly supported as sister taxon of Galago (lesser galagos), to the exclusion of Otolemur (greater galagos). This result agrees with other molecular [25, 27, 31] and morphological studies [23, 72]. However, the interrelationships among the clades ‘Galagoides’, Galago, and Otolemur have been challenging to resolve, and several studies have suggested two alternative topologies: Otolemur is either the sister taxon of Galago[24, 26] or the sister taxon of the Zanzibar galagos [28, 89]. Although all the analyses in this study produced the same topology for the three genera, with ‘Galagoides’ more closely related to Galago than to Otolemur, we offer a caveat. Analyses based on concatenated datasets supported this relationship very strongly, while gene tree-species tree methods revealed a high amount of gene tree discordance for this node. This suggests the confidence placed in this node by concatenated analyses may have been overestimated. Alternative topologies with Otolemur as the sister taxon of either Galago or ‘Galagoides’ received some support from multiple loci, indicating a level of gene heterogeneity. Once again, the branch lengths that separate the three clades are relatively short and it is possible that ILS is masking some of the phylogenetic signal at these nodes. However, as indicated by the analyses conducted for individual loci, it is also possible that other factors, such as the different substitution rates and low level of phylogenetic information in several loci, may affect our ability to resolve this node when individual loci are analyzed separately or in a coalescence framework (see also ).
Estimated divergence times for the origins of crown Galagidae have varied in recent molecular studies. Previous studies suggested Late Oligocene-Early Miocene origins for the crown group, ranging between 20 and 26 Ma [27, 28, 31, 49]. Roos et al.  estimated the age of crown galagids slightly older, around ~30 Ma, calibrated using their estimate of 61 Ma (50–80 Ma) for the split between Lorisiformes and the Malagasy lemurs. However, this date is not based on fossil evidence.
Our age estimates are somewhat older for crown Galagidae, and indicate the group originated just after the Eocene-Oligocene boundary (EOB). Based on the nuclear data analyzed in this paper, Euoticus represents an ancient lineage estimated around 33 Ma old (Figure 4 and Additional file 1), approximately 14 Ma prior to the origin of rest of the crown group (~19.5 Ma), in the Early Miocene. This estimate is only slightly younger than the dates for the crown Galagidae obtained by other studies in which Euoticus was not basal in the tree or was not included in the study [27, 31, 49]. In those phylogenetic reconstructions, the origin of the crown group was represented by the emergence of the clade including Galagoides thomasi/demidoff, and accords well with our date for this divergence. Euoticus is thus a critical taxon for understanding the evolutionary history of galagos; the phylogenetic position of Euoticus within galagids can be considered analogous to that of Daubentonia within lemurs (e.g. [28, 49]): both taxa represent ancient lineages that diverged a considerable period (> 10 Ma) before the rest of the crown group radiation.
The origin of crown galagids just after the EOB raises interesting questions about the evolution of this group, and more generally, that of all African Strepsirhini. The beginning of the Oligocene (around 33.9 Ma) coincides with a climatic change from the relatively warm and wet conditions of the Eocene to the cooler, drier conditions in the Oligocene [41, 90]. Although the levels of extinction at the EOB were not as catastrophic as previous events (e.g. Cretaceous–Paleogene mass extinction), the fossil record documents a gradual decrease in primate diversity throughout the Late Eocene and the Early Oligocene . While this period was characterized by long-term cooling at high latitudes in Europe and North America (also known as the “Grande Coupure” in Europe), the EOB is associated with a major floristic change in equatorial Africa  and an increased aridity in the north [41, 92]. This climatic change is correlated with the disappearance of at least four strepsirhine clades (including Galagidae) from the Fayum sediments of Egypt . Galagos clearly persisted across the EOB, but no fossils between 35–37 and the mid-Miocene (~10 Ma) have been found in northern Africa [34, 41]. Although the absence of evidence does not necessarily imply true extinctions, it seems clear that the strepsirhine community underwent a dramatic restructuring in the Oligocene, as shown by the Early Miocene record . The dates obtained in this study suggest that crown galagos originated soon after the EOB (~33 Ma) with the divergence of the lineage leading to Euoticus. Given the presence of two West African lineages at the base of the tree (Euoticus and the Galagoides thomasi/demidoff clade), it is possible that the origin of the crown Galagidae occurred in central-western Africa, where equatorial rain forests were still likely to be widespread during the Early Oligocene. Central-western African origins for crown galagids might also explain the absence of galagids in the fossil record between ~35 Ma (Wadilemur) and ~20 Ma (Komba and Progalago). The fossil record for primates in western Africa is notoriously poor because forested habitats do not provide ideal conditions for fossilization.
Another possible indication of West African origins for the crown galagids relates to the number of lineages surviving in that region: except for the eastern clade of the genus ‘Galagoides’, possibly restricted to eastern Africa, most genera are either present (Galago and Galagoides) or restricted (Sciurocheirus and Euoticus) to central-western Africa. The high species diversity in eastern Africa, especially within the dwarf galagos, is likely to be more recent and related to climatic and ecological changes during the Late Miocene and Early Pliocene in the Eastern Arc Mountains and coastal forests [93, 94].
An interesting aspect of the date estimates we obtained is the lack of divergences in the crown group between the Early Oligocene (the divergence of Euoticus) and the Early Miocene (the split between Galagoides spp. and the lineage leading to Otolemur, ‘Galagoides’ and Galago). The presence of stem galagids at around 15–20 Ma (Komba and Progalago) implies that these lineages survived independently for 20–30 Ma through the later Eocene and Oligocene into the Early Miocene (and possibly even mid-Pliocene if Laetolia sadimanensis is indeed a stem galagid ), while members of the crown group were completely unsampled until at least ~10 Ma (Galago farafraensis). The systematics of the Early Miocene East African lorisoids Komba and Progalago has long been debated, and studies have reached different conclusions, including the taxa as stem or crown members of Galagidae and Lorisidae, or advanced stem or very basal crown lorisiforms [46, 95, 96]. Most recent studies seem to support Komba as a stem galagid [37–40] but the taxonomic status of Progalago has remained ambiguous, identified either as a stem galagid [37, 38] or a crown lorisiform of uncertain affinities [46, 47]. Unfortunately, Euoticus was not included in several of these phylogenetic studies and the relationships between this taxon and the putative stem galagids is still ambiguous. If Komba, and possibly Progalago and Laetolia, are correctly classified as stem galagids, at least one stem radiation (but possibly more) took place before the EOB, and some members persisted for several million years beside crown members.
Finally, the divergence estimates for some of the sister species in this study were relatively old. The two species of Otolemur, O. crassicaudatus and O. garnettii, apparently diverged in the Late Miocene, approximately 6.5 Ma. This estimate agrees with some previous studies that support an old origin for this split [27, 31, 49]. Several studies that included a third species of Otolemur, O. monteiri, push the origins of the genus back to ~10 Ma [27, 28], although the validity of O. monteiri is still unclear, and further studies on the systematics of Otolemur using molecular data are required (see ). The divergence between the Zanzibar galagos (‘Galagoides’ zanzibaricus) and the Kenya Coast galagos (‘Galagoides’ cocos) is estimated to be approximately 3.5 Ma. ‘Galagoides’ cocos has recently been elevated to full species status based on acoustic data [20, 97], although its taxonomic validity is still uncertain. This old divergence is interesting considering that the taxa are morphologically very similar, offering support for the hypothesis that speciation in galagos is driven by changes in specific-mate recognition signals, particularly vocalizations [88, 89, 97–100].
In contrast, the clade including Galago senegalensis and Galago moholi was inferred to be quite recent (~1.2 Ma), as suggested by Masters . These woodland species occupy different areas of floral endemism, and it is possible that speciation in lesser galagos might have taken place alongside that of their plant hosts, in response to the increasing aridity during the Middle Pleistocene . Our study recovered Galago moholi as paraphyletic, possibly as a consequence of taxonomic misclassification of GenBank sequences and/or captive animals. Similarly to museum specimens, samples from captive sources are often incorrectly classified and this problem is particularly relevant for lesser galagos, the taxa most commonly found in captivity. More genetic and biogeographic studies, possibly with samples collected directly from wild populations, are therefore needed to elucidate patterns of speciation in lesser galagos.
Galagids are one of the least studied groups of primates and little is known about their evolutionary history and phylogeny. This lack of knowledge is primarily due to the limited genetic data available for most species. Here, we present a new molecular study of African galagos based on 27 independent loci, and present a generally well-supported phylogeny for this group. At the phylogenetic level, our two main results are (1) the basal position of Euoticus in the galagid tree; and (2) the non-monophyletic status of Galagoides. As a consequence, we suggest that a new generic designation for the Zanzibar group (here represented by the two species zanzibaricus and cocos) is required. Also, given its phylogenetic position, Euoticus represents a taxon of critical importance to studies of the evolutionary history of galagos. Despite the amount of genetic data collected for this study, the monophyly of the family Lorisidae remained unsupported and requires further investigation. Our results suggest an early origin for the crown Galagidae, soon after the Eocene-Oligocene boundary, implying that one – or possibly more – stem radiations, including fossils like Komba, Progalago, and Laetolia, diverged in the Late Eocene and persisted for several million years alongside members of the crown group. Based on the age estimates obtained in this study, Euoticus represents one of the oldest lineages within Primates, and its divergence during the Early Oligocene appears to be independent of the radiation that gave rise to all the other main galagid lineages later in the Miocene.
List of loci used in this study with characteristics and taxon coverage (number of species sampled)
GTR + I
HKY + G
GTR + I
GTR + G
SYM + G
GTR + I + G
HKY + I + G
HKY + G
GTR + G
K80 + G
HKY + G
GTR + G
SYM + G
HKY + I
HKY + G
GTR + I
HKY + G
HKY + G
GTR + G
HKY + G
GTR + I
HKY + G
HKY + G
GTR + I
HKY + I
HKY + G
HKY + G
Most samples were not specifically acquired for this study. Samples were provided by the American Museum of Natural History in New York City and the Duke University Lemur Center, or were obtained from wild animals, and had been used in earlier molecular studies [24, 26]. Only samples from Otolemur garnettii lasiotis, ‘Galagoides’ cocos, and ‘Galagoides’ zanzibaricus were obtained from wild animals specifically for this study. Wild samples were collected between 2010 and 2012 from two different sites in Kenya (Diani Forest, −4°19', +39°34') and Tanzania (Udzungwa National Park, −7°52', +36°51'). The animals were captured using Tomahawk live traps baited with fruit, insect larvae, and palm wine (e.g. [4, 5, 7, 100]). Up to 20 traps were set at dusk between ground level and 5 m., and checked 4–5 times during the night. To limit stress, individual animals were handled for a maximum of 20 minutes. Hair samples and approximately 2 mm2 ear biopsies were taken from each individual and preserved in sterilized 2 ml tubes filled with RNAlater buffer. All animals were released at the exact site of capture immediately after sample collection. Permission for fieldwork and sample collection was provided by the Ministry of Education, Science and Technology in Kenya and the Tanzania Wildlife Research Institute (TAWIRI) in Tanzania to LP. CITES export permits were obtained from both Kenya and Tanzania. Sample collection was approved by the University Animal Welfare Committee (UAWC) at NYU (IACUC animal care protocol #10-1334) and adhered to the American Society of Primatologists (ASP) Principles for the Ethical Treatment of Non-Human Primates (see https://www.asp.org/society/resolutions/EthicalTreatmentOfNonHumanPrimates.cfm). No animals were sacrificed for this study.
DNA isolation and sequencing
DNA was extracted and isolated from tissue samples (either ear clips from live animals, or a small snip of muscle from dead animals) using the QIAamp DNA Micro Kit (Qiagen, Inc.) following the protocol provided by the manufacturer. For some samples only a limited amount of DNA was available. In these cases, whole genome applications (WGA) were used for the downstream analyses. WGAs were performed using REPLI-g Mini Kits (Qiagen). Between 50–100 ng of genomic DNA were used for each 50 ml reaction following the manufacturer’s protocol. A negative control was included in every WGA and was verified by downstream PCR and sequencing.
PCR amplification of all nuclear gene regions was carried out using either AmpliTaq Gold® 360 Master Mix (ABI) or AccuPrime™ Taq DNA Polymerase System (Invitrogen™). For the first kit, PCRs were performed in a reaction volume of 15 μL and a reaction mix consisting of 7.5 μL of AmpliTaq Gold® 360 Master Mix, 5.4 μL of water, and 0.3 μL (10 μM) of each primer. For the AccuPrime reactions, the mix consisted of 2.0 μL of 10× Buffer II, 0.08 μL of AccuPrime™ Taq (5 U/μL), and 0.4 μL (10 μM) of each primer.
PCR reactions were carried out using a touchdown program with the following parameters: 95°C for 2 min, followed by a first round of 25 cycles denaturing at 95°C for 15 s, primer annealing starting at 60°C (and gradually decreasing to 50°C over 25 cycles) for 30 s, and extension at 72°C for 1 min; and followed by a final round of 25 cycles of 95°C for 15 s, 50°C for 30s, and 72°C for 1 min; and a final extension at 72°C for 7 min. The initial denaturation was extended to 10 min for the AmpliTaq Gold® 360 Master Mix protocol.
PCR products were analyzed on 1% agarose gels. PCR products that produced clear single bands were purified using ExoSAP-IT for PCR Product Clean-Up (Affymetrix) and then sequenced directly in two reactions with forward and reverse primers (the same as the amplification primers). The sequencing reactions were carried out with the BigDye Terminator v3.1 cycle sequencing kit (Applied Biosystems, Inc). The cycle sequencing reactions were performed in a reaction volume of 10 μL and a reaction mix consisting of 1.5 μL of 5X Sequencing buffer, 0.5-0.7 μL of BigDye, 1.2 μL (10 μM) of each primer and 1.0 μL of PCR product. Sequencing reactions were performed with 50 cycles at 96°C for 10 s, 50°C for 5 s, 60°C for 4 min. Finally, sequencing products were analyzed on an ABI 3730 DNA Analyzer system (Applied Biosystems, Inc.) and bases were called using Sequencing Analysis v5.2 (Applied Biosystems, Inc.). Consensus sequences for each individual were generated from sequences in forward and reverse directions using Geneious R6.1 (Biomatters).
Each locus was first aligned independently using MUSCLE , and then combined in a single matrix resulting in a total alignment length of 18,248 base pairs (bp). A second alignment was performed to remove poorly aligned regions in the dataset using Gblocks 0.91b  under a relaxed approach. Poorly aligned regions can interfere with phylogenetic reconstructions by adding noise to the analyses, and their removal can improve the performance of phylogenetic reconstructions, especially in studies including very divergent sequences [103, 104]. Gblocks was run with the options “Minimum Length Of A Block” = 10 and “Allowed Gap Positions” = “With Half”. The final alignment after running Gblocks consisted in 14,372 bp (78% of the original alignment). Both alignments (full and Gblocks) are available on TreeBase (http://purl.org/phylo/treebase/phylows/study/TB2:S15281).
Phylogenetic analyses were conducted on the partitioned concatenated dataset under maximum likelihood (ML) and Bayesian inference (MB). ML analyses were run using a separate partition for each locus (27 partitions in total). We used Randomized Accelerated Maximum Likelihood in RAxML version 7.2.6 [105, 106]. For each partition scheme, we ran 50 independent ML inferences (using 50 distinct randomized MP trees) with a GTR + G model to estimate the best topology. In order to assess the support for individual branches we performed both a rapid (−f a -x option) and non-parametric bootstrap (−b option) with 1000 replications to assess support on different nodes [106, 107]. Maximum-likelihood bootstrap proportions (BP) ≥70% were considered strong support [108, 109].
Bayesian analyses were performed using MrBayes 3.2.2  with the Metropolis coupled Markov Chain Monte Carlo (MCMC) algorithm. The best-fitting model of nucleotide evolution was selected independently for each partition using the Akaike Information Criterion (AIC) as implemented in MrModelTest 2.3  as reported in Table 1. Posterior probability (PP) support values higher than 0.95 were considered strong support for individual clades [112–114]. Four separate MrBayes runs, each including four incrementally heated chains, were run for 20 million generations. Within each run, convergence was assessed by checking LnL, the average standard deviation of split frequencies (< 0.01), and the potential scale reduction factor (PSRF) in MrBayes. We also assessed convergence visually using Tracer v.1.5  to plot the likelihood versus generation number and estimate the effective sample size (ESS > 200) of all parameters, and to compare the performance of the four independent analyses. Finally, we used AWTY  to plot pairwise split frequencies for the four independent MCMC runs and to check the posterior probabilities of clades for non-overlapping samples of trees in the sample using the compare and slide commands, respectively. After checking for convergence, we summarized the posterior distribution of trees, removing the first 25% of generations as burn-in. All RAxML and MrBayes analyses were performed via the High Performance Computing (HPC) clusters at New York University.
Species tree analyses
Coalescence-based species tree analyses were performed using BEST (Bayesian Estimation of Species Trees) v2.3 . This software uses MrBayes [110, 118] to estimate separate gene trees while simultaneously estimating the species tree that generated them. This method accounts for uncertainty in the individually estimated gene trees, and it also allows the separate gene tree estimates to influence each other during the analysis .
BEST analyses were run on the same dataset of 27 nuclear loci described above (27LOCI), although the dataset was reduced from 30 to 16 taxa: one member for each species was selected within Galagidae (10 taxa) and one member per genus within Lorisidae (four taxa), plus two lemurs, Lemur catta and Propithecus verreauxi, as outgroups. We restricted the analysis to 16 taxa because gene tree-species tree analyses are computationally intensive and a larger dataset could have made it difficult or impossible to reach proper convergence among repeated analyses [60, 61, 119]. Taxon coverage for individual genes varied from 81.3% (13 out of 16 taxa for ABCA1) to 100% (average 94.7%) (see Additional file 7: Table S7a).
Gene tree-species tree methods use information for each individual locus to estimate the species tree; therefore, it is important to minimize the amount of missing data in the dataset. Missing data may interfere with the proper estimation of individual gene trees and affect the inference of the most likely species tree for that set of loci [119, 120]. In order to explore the effect of missing loci/taxa, we compiled a second dataset, which included 15 taxa and 19 loci (19LOCI) (see Additional file 7: Table S7b). All taxa were represented for each of the 19 loci and missing data were only present within each individual locus (differences in sequence length). This second dataset included all major lineages within lorisids (4 taxa) and galagids (9 taxa), plus two outgroups (Lemur catta and Propithecus verreauxi).
BEST analyses were performed by setting α = 3 and β = 0.003 of the inverse gamma distribution prior on effective population size (h). We ran four separate analyses with different random starting points and two chains per run (one cold and one heated), and compared the results across runs . We ran the analyses for 100 million generations for the dataset 19LOCI (sampling every 1000 generations) and 150 million generations for the dataset 27LOCI (sampling every 1000 generations). After checking for convergence across independent runs, the species trees files (.sptree) were combined and summarized, excluding the first 25% of generations as burn-in.
We performed dating estimates using the uncorrelated Bayesian relaxed-clock method as implemented in BEAST v1.7.5 [121, 122]. BEAST simultaneously estimates the tree topology and divergence times. As in the previous analyses using MrBayes, posterior probability (PP) values greater than 0.95 were considered strong support. BEAUTi v1.7.5 (part of the BEAST package) was used to prepare the .xml file for use with BEAST v1.7.5 [121, 122]. Evolutionary rates along branches followed an uncorrelated lognormal distribution, and a birth-death speciation process was used for all analyses . Four replicate runs were conducted with four MCMC chains sampled every 1000 generations for 60 million generations, after a burn-in period of 15 million generations (equivalent to 25%). Convergence was checked using Tracer v1.5 and all BEAST analyses were run to achieve an effective sample size (ESS) of at least 200 for all estimated parameters once burn-in was removed. Results from the four independent runs were then combined using LogCombiner, and maximum credibility trees with divergence time means and 95% highest probability densities (HPDs) were produced using TreeAnnotator v1.7.5 . In order to check the influence of the priors on the results, analyses were all run without data and were compared to those with data using Tracer .
Evolutionary rate calibration constraints (in millions of years)
95% prior distribution
3. Crown Catarrhini
5. Crown Lorisoidea
Availability of supporting data
The data sets supporting the results of this article are available in the TreeBase repository, http://purl.org/phylo/treebase/phylows/study/TB2:S15281. A complete list of the new sequences generated for this study, including GenBank accession numbers is available in Additional File 5.
We thank Terry Harrison, Andrew Burrell, George (PJ) Perry, Clifford Jolly, Christina Bergey, and Fabien Génin for helpful comments and suggestions. We also want to thank two anonymous reviewers and the editor for their comments that strongly improved the quality of our manuscript. Thanks to Anna Macagno, the Institute of Primate Research, the Udzungwa Ecological Monitoring Centre, and Colobus Conservation Limited for logistic support during the fieldwork. Thanks to the American Museum of Natural History and Darrin Lunde for providing some of the samples used in this study. This research was supported by funding from a NSF Doctoral Dissertation Improvement Grant a NSF DDIG, Primate Conservation Inc., Margot Marsh Biodiversity Foundation, the International Primatological Society, the American Society of Primatologists, Idea Wild, and The Explorers Club.
- Nekaris KAI, Bearder SK: The strepsirrhine primates of Asia and Mainland Africa: diversity shrouded in darkness. Primates in Perspective. Edited by: Campbell C, Fuentes A, Mackinnon KC, Panger M. 2007, Oxford: Oxford University Press, 24-45.Google Scholar
- Nekaris KAI, Bearder SK: The strepsirrhine primates of Asia and Mainland Africa: diversity shrouded in darkness. Primates in Perspective. Edited by: Campbell C, Fuentes A, Mackinnon KC, Bearder SK, Stumpf RM. 2010, Oxford: Oxford University Press, 24-45. 2Google Scholar
- Kingdon J: The Kingdon Field Guide to African Mammals. 1997, San Diego: Academic PressGoogle Scholar
- Charles-Dominique P: Ecology and Behaviour of Nocturnal Primates: Prosimians of Equatorial West Africa. 1977, New York: Columbia University Press, transl. Martin RDGoogle Scholar
- Nash L, Harcourt C: Social organization of galagos in Kenyan coastal forests: II. Galago garnettii. Am J Primatol. 1986, 369: 357-369.Google Scholar
- Müller AE, Thalmann U: Origin and evolution of primate social organisation: a reconstruction. Biol Rev Camb Philos Soc. 2000, 75: 405-435. 10.1017/S0006323100005533.PubMedGoogle Scholar
- Harcourt C, Nash L: Social organization of galagos in Kenyan coastal forests: I. Galago zanzibaricus. Am J Primatol. 1986, 355: 339-355.Google Scholar
- Masters JC, Bragg NP: Morphological correlates of speciation in bush babies. Int J Primatol. 2000, 21: 793-813. 10.1023/A:1005590524932.Google Scholar
- Marshall JTJ, Marshall EER: Gibbons and their territorial songs. Science. 1976, 193: 235-237. 10.1126/science.193.4249.235.PubMedGoogle Scholar
- Mitani JC: Species discrimination of male song in gibbons. Am J Primatol. 1987, 13: 413-423. 10.1002/ajp.1350130406.Google Scholar
- Thinh VN, Hallam C, Roos C, Hammerschmidt K: Concordance between vocal and genetic diversity in crested gibbons. BMC Evol Biol. 2011, 11: 36-10.1186/1471-2148-11-36.PubMedPubMed CentralGoogle Scholar
- Cleveland J, Snowdon C: The complex vocal repertoire of the adult cotton-top tamarin (Saguinus oedipus oedipus). Z Tierpsychol. 1982, 270: 231-270.Google Scholar
- Masataka N: Interspecific and intraspecific responses to some species-specific vocalizations in marmosets, tamarins, and Goeldi’s monkeys. Current perspectives in primates social dynamics. Edited by: King F. 1986, New York: Van Nostrand Reinhold, 368-377.Google Scholar
- Nietsch A: Duet vocalizations among different populations of Sulawesi tarsiers. Int J Primatol. 1999, 20: 567-583. 10.1023/A:1020342807709.Google Scholar
- Gautier J-P: A redrawn phylogeny of guenons based upon their calls-biogeographical implications. Bioacoustics. 1989, 2: 11-21. 10.1080/09524622.1989.9753110.Google Scholar
- Struhsaker TT: Phylogenetic implications of some vocalizations of Cercopithecus monkeys. Old World Monkeys. Edited by: Academic P, Napier J, Napier P. 1970, London: Academic Press, New York, 365-444.Google Scholar
- Oates J, Trocco T: Taxonomy and phylogeny of black and white colobus monkeys. Folia Primatol. 1983, 40: 83-113. 10.1159/000156092.PubMedGoogle Scholar
- Meyer D, Hodges JK, Rinaldi D, Wijaya A, Roos C, Hammerschmidt K: Acoustic structure of male loud-calls support molecular phylogeny of Sumatran and Javanese leaf monkeys (genus Presbytis). BMC Evol Biol. 2012, 12: 16-10.1186/1471-2148-12-16.PubMedPubMed CentralGoogle Scholar
- Schwarz E: On the African long-tailed lemurs or galagos. Ann Mag Nat Hist. 1931, 10: 41-66.Google Scholar
- Grubb P, Butynski TM, Oates JF, Bearder SK, Disotell TR, Groves CP, Struhsaker TT: Assessment of the diversity of African primates. Int J Primatol. 2003, 24: 1301-1357.Google Scholar
- Nash L, Bearder S, Olson T: Synopsis of Galago species characteristics. Int J Primatol. 1989, 10: 57-80. 10.1007/BF02735704.Google Scholar
- Groves CP: A Theory of Human and Primate Evolution. 1989, Oxford, UK: Clarendon PressGoogle Scholar
- Groves CP: Primate Taxonomy. 2001, Washington, DC: Smithsonian Institution PressGoogle Scholar
- DelPero M, Masters JC, Zuccon D, Cervella P, Crovella S, Ardito G: Mitochondrial sequences as indicators of genetic classification in bush babies. Int J Primatol. 2000, 21: 889-904. 10.1023/A:1005502927658.Google Scholar
- Roos C, Schmitz J, Zischler H: Primate jumping genes elucidate strepsirrhine phylogeny. Proc Natl Acad Sci U S A. 2004, 101: 10650-10.1073/pnas.0403852101.PubMedPubMed CentralGoogle Scholar
- Masters JC, Boniotto M, Crovella S, Roos C, Pozzi L, Delpero M: Phylogenetic relationships among the Lorisoidea as indicated by craniodental morphology and mitochondrial sequence data. Am J Primatol. 2007, 69: 6-15. 10.1002/ajp.20322.PubMedGoogle Scholar
- Fabre PH, Rodrigues A, Douzery EJ: Patterns of macroevolution among primates inferred from a supermatrix of mitochondrial and nuclear DNA. Mol Phylogenet Evol. 2009, 53: 808-825. 10.1016/j.ympev.2009.08.004.PubMedGoogle Scholar
- Springer MS, Meredith RW, Gatesy J, Emerling C, Park J, Rabosky DL, Stadler T, Steiner C, Ryder O, Janečka JE, Fisher C, Murphy WJ: Macroevolutionary dynamics and historical biogeography of primate diversification inferred from a species supermatrix. PLoS One. 2012, 7: e49521-10.1371/journal.pone.0049521.PubMedPubMed CentralGoogle Scholar
- Bayes M: A molecular phylogenetic study of the galagos, strepsirrhine primates and archontan mammals. 1998, Oxford: Oxford Brookes UniversityGoogle Scholar
- Stiner E, Turmelle A: Galagid taxonomy and the placement of the needle-clawed galago (Euoticus): based on cytochrome b, 12S and 16S partial sequences. Afr Primates. 2003, 6 (1&2): 3-10.Google Scholar
- Chatterjee HJ, Ho SYW, Barnes I, Groves C: Estimating the phylogeny and divergence times of primates using a supermatrix approach. BMC Evol Biol. 2009, 9: 259-10.1186/1471-2148-9-259.PubMedPubMed CentralGoogle Scholar
- Wesselman H: The Omo Micromammals: Systematics and Paleo-Ecology of Early Man Sites from Ethiopia. Contributions to Vertebrate Evolution. 1984, Basel, Switzerland: Karger, 7: 165-Google Scholar
- Simpson G: Family: Galagidae. Olduvai Gorge 1951–61 Vol 1 A Preliminary Report on the Geology and Fauna. Edited by: Leakey L. 1965, Cambridge, UK: Cambridge University Press, 15-16.Google Scholar
- Pickford M, Wanas H, Soliman H: Indications for a humid climate in the Western Desert of Egypt 11–10 Myr ago: evidence from Galagidae (Primates, Mammalia). Comptes Rendus Palevol. 2006, 5: 935-943. 10.1016/j.crpv.2006.09.001.Google Scholar
- Pickford M, Senut B: The geological and faunal context of Late Miocene hominid remains from Lukeino, Kenya. Comptes Rendus l’Académie des Sci - Ser IIA. Earth Planet Sci. 2001, 332: 145-152.Google Scholar
- Pickford M, Mein P: Early Middle Miocene mammals from Moroto II, Uganda. Beiträge zur Paläontologie. 2006, 30: 361-386.Google Scholar
- Harrison T: Later Tertiary Lorisiformes. Cenozoic Mammals of Africa. Edited by: Werdelin L, Sanders W. 2010, Berkeley, CA: University of California Press, 333-349.Google Scholar
- Harrison T: Galagidae (Lorisoidea, Primates). Paleontology and Geology of Laetoli: Human Evolution in Context. Volume 2: Fossil Hominins and the Associated Fauna. Edited by: Harrison T. 2011, Dordrecht: Springer Netherlands, 75-81.Google Scholar
- Seiffert ER, Simons EL, Attia Y: Fossil evidence for an ancient divergence of lorises and galagos. Nature. 2003, 422: 421-424. 10.1038/nature01489.PubMedGoogle Scholar
- Seiffert ER, Simons EL, Ryan TM, Attia Y: Additional remains of Wadilemur elegans, a primitive stem galagid from the late Eocene of Egypt. Proc Natl Acad Sci U S A. 2005, 102: 11396-10.1073/pnas.0505310102.PubMedPubMed CentralGoogle Scholar
- Seiffert ER: Evolution and extinction of Afro-Arabian primates near the Eocene-Oligocene boundary. Folia Primatol. 2007, 78: 314-327. 10.1159/000105147.PubMedGoogle Scholar
- Godinot M: Paleogene Prosimians. Cenozoic Mammals of Africa. Edited by: Werdelin L, Sanders W. 2010, Berkeley, CA: University of California Press, (March 2013):319–331Google Scholar
- MacInnes D: Notes on the East African primates. J East Africa Uganda Nat Hist Soc. 1943, 39: 521-530.Google Scholar
- Simpson G: The Tertiary lorisiform primates of Africa. Bull Museum Comp Zool. 1967, 136: 39-62.Google Scholar
- Le Gros Clark W, Thomas D: The Miocene Lemuroids of East Africa. Fossil Mammals of Africa 5. 1952, London: British Museum (Natural History), 20-Google Scholar
- Rasmussen DT, Nekaris K: Evolutionary History of Lorisiform Primates. Folia Primatol. 1998, 69 (suppl 1): 250-285.PubMedGoogle Scholar
- Seiffert ER: Early evolution and biogeography of lorisiform strepsirrhines. Am J Primatol. 2007, 69: 27-35. 10.1002/ajp.20324.PubMedGoogle Scholar
- Jameson NM, Hou Z-C, Sterner KN, Weckle A, Goodman M, Steiper ME, Wildman DE: Genomic data reject the hypothesis of a prosimian primate clade. J Hum Evol. 2011, 61: 295-305. 10.1016/j.jhevol.2011.04.004.PubMedGoogle Scholar
- Perelman P, Johnson WE, Roos C, Seuánez HN, Horvath JE, Moreira MA, Kessing B, Pontius J, Roelke M, Rumpler Y, Schneider MPC, Silva A, O’Brien SJ, Pecon-Slattery J: A molecular phylogeny of living primates. PLoS Genet. 2011, 7: e1001342-10.1371/journal.pgen.1001342.PubMedPubMed CentralGoogle Scholar
- Degnan JH, Rosenberg NA: Gene tree discordance, phylogenetic inference and the multispecies coalescent. Trends Ecol Evol. 2009, 24: 332-340. 10.1016/j.tree.2009.01.009.PubMedGoogle Scholar
- Degnan JH, Rosenberg NA: Discordance of species trees with their most likely gene trees. PLoS Genet. 2006, 2: e68-10.1371/journal.pgen.0020068.PubMedPubMed CentralGoogle Scholar
- Edwards SV: Is a new and general theory of molecular systematics emerging?. Evolution. 2009, 63: 1-19. 10.1111/j.1558-5646.2008.00549.x.PubMedGoogle Scholar
- Kubatko LS, Degnan JH: Inconsistency of phylogenetic estimates from concatenated data under coalescence. Syst Biol. 2007, 56: 17-24. 10.1080/10635150601146041.PubMedGoogle Scholar
- Leaché AD, Rannala B: The accuracy of species tree estimation under simulation: a comparison of methods. Syst Biol. 2011, 60: 126-137. 10.1093/sysbio/syq073.PubMedGoogle Scholar
- Heled J, Drummond AJ: Bayesian inference of species trees from multilocus data. Mol Biol Evol. 2010, 27: 570-580. 10.1093/molbev/msp274.PubMedPubMed CentralGoogle Scholar
- Song S, Liu L, Edwards SV, Wu S: Resolving conflict in eutherian mammal phylogeny using phylogenomics and the multispecies coalescent model. Proc Natl Acad Sci U S A. 2012, 109: 14942-14947. 10.1073/pnas.1211733109.PubMedPubMed CentralGoogle Scholar
- Gatesy J, Springer MS: Concatenation versus coalescence versus “concatalescence”. Proc Natl Acad Sci U S A. 2013, 110: E1179-10.1073/pnas.1221121110.PubMedPubMed CentralGoogle Scholar
- Maddison WP, Knowles LL: Inferring phylogeny despite incomplete lineage sorting. Syst Biol. 2006, 55: 21-10.1080/10635150500354928.PubMedGoogle Scholar
- Edwards SV, Liu L, Pearl DK: High-resolution species trees without concatenation. Proc Natl Acad Sci. 2007, 104: 5936-5941. 10.1073/pnas.0607004104.PubMedPubMed CentralGoogle Scholar
- Weisrock DW, Smith SD, Chan LM, Biebouw K, Kappeler PM, Yoder AD: Concatenation and concordance in the reconstruction of mouse lemur phylogeny: an empirical demonstration of the effect of allele sampling in phylogenetics. Mol Biol Evol. 2012, 29: 1615-1630. 10.1093/molbev/mss008.PubMedPubMed CentralGoogle Scholar
- Perez SI, Klaczko J, Dos Reis SF: Species tree estimation for a deep phylogenetic divergence in the New World monkeys (Primates: Platyrrhini). Mol Phylogenet Evol. 2012, 65: 621-630. 10.1016/j.ympev.2012.07.014.PubMedGoogle Scholar
- Pozzi L, Bergey CM, Burrell AS: The use (and misuse) of phylogenetic trees in comparative behavioral analyses. Int J Primatol. 2014, 35: 32-54. 10.1007/s10764-013-9701-0.Google Scholar
- Thiele D, Razafimahatratra E, Hapke A: Discrepant partitioning of genetic diversity in mouse lemurs and dwarf lemurs - Biological reality or taxonomic bias?. Mol Phylogenet Evol. 2013, 69: 593-609. 10.1016/j.ympev.2013.07.019.PubMedGoogle Scholar
- Guevara EE, Steiper ME: Molecular phylogenetic analysis of the Papionina using concatenation and species tree methods. J Hum Evol. 2014, 66: 18-28.PubMedGoogle Scholar
- Ting N, Sterner KN: Primate molecular phylogenetics in a genomic era. Mol Phylogenet Evol. 2013, 66: 565-568. 10.1016/j.ympev.2012.08.021.PubMedGoogle Scholar
- Bouckaert R: DensiTree: making sense of sets of phylogenetic trees. Bioinformatics. 2010, 26: 1372-1373. 10.1093/bioinformatics/btq110.PubMedGoogle Scholar
- Masters JC, Anthony NM, de Wit M, Mitchell A: Reconstructing the evolutionary history of the Lorisidae using morphological, molecular, and geological data. Am J Phys Anthropol. 2005, 127: 465-480. 10.1002/ajpa.20149.PubMedGoogle Scholar
- 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.PubMedGoogle Scholar
- Cartmill M: Strepsirhine basicranial structures and the affinities of the Cheirogaleidae. Phylogeny of the primates: a multidisciplinary approach. Edited by: Luckett W, Szalay F. 1975, New York: Plenum Press, 313-354.Google Scholar
- Ankel-Simons F: A Survey of Living Primates and Their Anatomy. 1983, New York: Macmillan PressGoogle Scholar
- Schwartz JH, Tattersall I: Evolutionary relationships of living lemurs and lorises (Mammalia, Primates) and their potential affinities with European Adapidae. Anthr Pap Am Mus Nat Hist. 1985, 60: 1-100.Google Scholar
- Masters JC, Brothers DJ: Lack of congruence between morphological and molecular data in reconstructing the phylogeny of the Galagonidae. Am J Phys Anthropol. 2002, 117: 79-93. 10.1002/ajpa.10001.PubMedGoogle Scholar
- Schwartz JH: Pseudopotto martini: a new genus and species of extant lorisiform primate. Anthropol Pap Am Mus Nat Hist. 1996, 78: 1-14.Google Scholar
- Goodman M, Porter C, Czelusniak J, Page SL, Schneider H, Shoshani J, Gunnell G, Groves CP: Toward a phylogenetic classification of Primates based on DNA evidence complemented by fossil evidence. Mol Phylogenet Evol. 1998, 9: 585-598. 10.1006/mpev.1998.0495.PubMedGoogle Scholar
- Matsui A, Rakotondraparany F, Munechika I, Hasegawa M, Horai S: Molecular phylogeny and evolution of prosimians based on complete sequences of mitochondrial DNAs. Gene. 2009, 441: 53-66. 10.1016/j.gene.2008.08.024.PubMedGoogle Scholar
- Pozzi L, Hodgson JA, Burrell AS, Sterner KN, Raaum RL, Disotella TR: Primate phylogenetic relationships and divergence dates inferred from complete mitochondrial genomes. Mol Phylogenet Evol. 2014, 75: 165-183.PubMedPubMed CentralGoogle Scholar
- Dene H, Goodman M, Prychodko W, Moore G: Immunodiffusion systematics of the primates: The Strepsirhini. Folia Primatol. 1976, 25: 35-61. 10.1159/000155706.PubMedGoogle Scholar
- Finstermeier K, Zinner D, Brameier M, Meyer M, Kreuz E, Hofreiter M, Roos C: A mitogenomic phylogeny of living primates. PLoS One. 2013, 8: e69504-10.1371/journal.pone.0069504.PubMedPubMed CentralGoogle Scholar
- Hillis DM: SINEs of the perfect character. Proc Natl Acad Sci. 1999, 96: 9979-10.1073/pnas.96.18.9979.PubMedPubMed CentralGoogle Scholar
- Shedlock AM, Okada N: SINE insertions: powerful tools for molecular systematics. Bioessays. 2000, 22: 148-160. 10.1002/(SICI)1521-1878(200002)22:2<148::AID-BIES6>3.0.CO;2-Z.PubMedGoogle Scholar
- Ray DA: SINEs of progress: Mobile element applications to molecular ecology. Mol Ecol. 2007, 16: 19-33.PubMedGoogle Scholar
- Ray D, Xing J, Salem A-H, Batzer M: SINEs of a nearly perfect character. Syst Biol. 2006, 55: 928-935. 10.1080/10635150600865419.PubMedGoogle Scholar
- Walker A: Post-cranial remains of the Miocene Lorisidae of East Africa. Am J Phys Anthropol. 1970, 33: 249-262. 10.1002/ajpa.1330330211.PubMedGoogle Scholar
- Olson T: Studies on aspects of the morphology of the genus Otolemur Coquerel, 1859. 1979, London: University of LondonGoogle Scholar
- Smith A: An epitome of African zoology. South African Q J 2nd ser. 1833, 1: 16-32. 49–51 [Order Quadrumana]Google Scholar
- Kingdon J: East African Mammals. 1971, London: Academic Press, 1:Google Scholar
- Wood B, Collard M: The human genus. Science. 1999, 284: 65-71. 10.1126/science.284.5411.65.PubMedGoogle Scholar
- Bearder SK, Honess PE, Ambrose L: Species diversity among galagos with special reference to mate recognition. Creature of the dark: the nocturnal prosimians. Edited by: Alterman L, Doyle G, Izard M. 1995, New York: Plenum Publishing Co, 331-352.Google Scholar
- Zimmermann E: Differentiation of vocalizations in bushbabies (Galaginae, Prosimiae, Primates) and the significance for assessing phylogenetic relationships. J Zool Syst Evol Res. 1990, 28: 217-239.Google Scholar
- Zachos J, Pagani M, Sloan L, Thomas E, Billups K: Trends, rhythms, and aberrations in global climate 65 Ma to present. Science. 2001, 292: 686-693. 10.1126/science.1059412.PubMedGoogle Scholar
- Jacobs B, Tabor N, Feseha M: Oligocene terrestrial strata of northwestern Ethiopia: a preliminary report on paleoenvironments and paleontology. Palaeontol Electron. 2005, 8: 1-19.Google Scholar
- Kedves M: Présence de types sporomorphes importants dans les sédiments pré-quaternaires Egyptiens. Acta Bot Acad Sci Hungaricae. 1971, 17: 371-378.Google Scholar
- Lovett JC: Eastern Arc moist forest flora. Biogeography and ecology of the rain forests of eastern Africa. Edited by: Lovett JC, Wasser S. 1993, Cambridge, UK London: Cambridge University Press, 33-57.Google Scholar
- Burgess ND, Butynski TM, Cordeiro N, Doggart N, Fjeldsa J, Howell KM, Kilahama F, Loader S, Lovett J, Mbilinyi B, Menegon M, Moyer D, Nashanda E, Perkin A, Rovero F, Stanley WT, Stuart SN: The biological importance of the Eastern Arc Mountains of Tanzania and Kenya. Biol Conserv. 2007, 134: 209-231. 10.1016/j.biocon.2006.08.015.Google Scholar
- McCrossin ML: New species of bushbaby from the middle Miocene of Maboko Island, Kenya. Am J Phys Anthropol. 1992, 89: 215-233. 10.1002/ajpa.1330890207.PubMedGoogle Scholar
- Phillips EM, Walker A: Fossil lorisoids. The Primate Fossil Record. Edited by: Hartwig WC. 2002, Cambridge, UK: Cambridge University Press, 83-95.Google Scholar
- Butynski T, de Jong YA, Perkin A, Bearder S, Honess PE: Taxonomy, distribution, and conservation status of three species of dwarf galagos (Galagoides) in Eastern Africa. Primate Conserv. 2006, 21: 63-79.Google Scholar
- Zimmermann E, Bearder SK, Doyle GA, Andersson AB: Variations in vocal patterns of Senegal and South African lesser bushbabies and their implications for taxonomic relationships. Folia Primatol. 1988, 51: 87-105. 10.1159/000156360.PubMedGoogle Scholar
- Masters JC: Loud calls of Galago crassicaudatus and G. garnettii and their relation to habitat structure. Primates. 1991, 32: 153-167. 10.1007/BF02381173.Google Scholar
- Ambrose L: Three acoustic forms of Allen’s galagos (Primates; Galagonidae) in the Central African region. Primates. 2003, 44: 25-39.PubMedGoogle Scholar
- Masters JC: Speciation in the lesser galagos. Folia Primatol. 1998, 69 (Suppl. 1): 357-370. 10.1159/000052724.PubMedGoogle Scholar
- Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32: 1792-1797. 10.1093/nar/gkh340.PubMedPubMed CentralGoogle Scholar
- Talavera G, Castresana J: Improvement of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. Syst Biol. 2007, 56: 564-577. 10.1080/10635150701472164.PubMedGoogle Scholar
- Castresana J: Selection of conserved blocks from multiple alignments for their use in phylogenetic analysis. Mol Biol Evol. 2000, 17 (4): 540-552. 10.1093/oxfordjournals.molbev.a026334.PubMedGoogle Scholar
- Stamatakis A, Ludwig T, Meier H: RAxML-III: a fast program for maximum likelihood-based inference of large phylogenetic trees. Bioinformatics. 2005, 21: 456-463. 10.1093/bioinformatics/bti191.PubMedGoogle Scholar
- Stamatakis A: RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 2006, 22: 2688-2690. 10.1093/bioinformatics/btl446.PubMedGoogle Scholar
- Stamatakis A, Hoover P, Rougemont J: A rapid bootstrap algorithm for the RAxML Web servers. Syst Biol. 2008, 57: 758-771. 10.1080/10635150802429642.PubMedGoogle Scholar
- Hillis D, Bull J: An empirical test of bootstrapping as a method for assessing confidence in phylogenetic analysis. Syst Biol. 1993, 42: 182-192. 10.1093/sysbio/42.2.182.Google Scholar
- Wilcox TP, Zwickl DJ, Heath TA, Hillis DM: Phylogenetic relationships of the dwarf boas and a comparison of Bayesian and bootstrap measures of phylogenetic support. Mol Phylogenet Evol. 2002, 25: 361-371. 10.1016/S1055-7903(02)00244-0.PubMedGoogle Scholar
- Ronquist F, Teslenko M, van der Mark P, Ayres DL, Darling A, Höhna S, Larget B, Liu L, Suchard MA, Huelsenbeck JP: MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Syst Biol. 2012, 61: 539-542. 10.1093/sysbio/sys029.PubMedPubMed CentralGoogle Scholar
- Nylander JAA: MrModeltest v2. Program distributed by the author. Evolutionary Biology Centre, Uppsala University. 2004, Available from: http://www.abc.se/~nylander/mrmodeltest2/mrmodeltest2.htmlGoogle Scholar
- Alfaro ME: Bayes or Bootstrap? A simulation study comparing the performance of Bayesian Markov Chain Monte Carlo sampling and bootstrapping in assessing phylogenetic confidence. Mol Biol Evol. 2003, 20: 255-266. 10.1093/molbev/msg028.PubMedGoogle Scholar
- Erixon P, Svennblad B, Britton T, Oxelman B: Reliability of Bayesian posterior probabilities and bootstrap frequencies in phylogenetics. Syst Biol. 2003, 52: 665-673. 10.1080/10635150390235485.PubMedGoogle Scholar
- Huelsenbeck J, Rannala B: Frequentist properties of Bayesian posterior probabilities of phylogenetic trees under simple and complex substitution models. Syst Biol. 2004, 53: 904-913. 10.1080/10635150490522629.PubMedGoogle Scholar
- Rambaut A, Drummond AJ: Tracer v1.5 [Online]. 2009, Available from http://tree.bio.ed.ac.uk/software/tracer/Google Scholar
- Nylander J, Wilgenbusch JC, Warren DL, Swofford DL: AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics. Bioinformatics. 2008, 24: 581-583. 10.1093/bioinformatics/btm388.PubMedGoogle Scholar
- Liu L: BEST: Bayesian estimation of species trees under the coalescent model. Bioinformatics. 2008, 24: 2542-2543. 10.1093/bioinformatics/btn484.PubMedGoogle Scholar
- Huelsenbeck JPP, Ronquist F: MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001, 17: 754-755. 10.1093/bioinformatics/17.8.754.PubMedGoogle Scholar
- Townsend TM, Mulcahy DG, Noonan BP, Sites JW: Phylogeny of iguanian lizards inferred from 29 nuclear loci, and a comparison of concatenated and species-tree approaches for an ancient, rapid radiation. Mol Phylogenet Evol. 2011, 61: 363-380. 10.1016/j.ympev.2011.07.008.PubMedGoogle Scholar
- Thomson RC, Shedlock AM, Edwards SV, Shaffer HB: Developing markers for multilocus phylogenetics in non-model organisms: A test case with turtles. Mol Phylogenet Evol. 2008, 49: 514-525. 10.1016/j.ympev.2008.08.006.PubMedGoogle Scholar
- Drummond AJ, Rambaut A: BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007, 7: 214-10.1186/1471-2148-7-214.PubMedPubMed CentralGoogle Scholar
- Drummond AJ, Suchard MA, Xie D, Rambaut A: Bayesian phylogenetics with BEAUti and the BEAST 1.7. Mol Biol Evol. 2012, 29: 1969-1973. 10.1093/molbev/mss075.PubMedPubMed CentralGoogle Scholar
- Gernhard T: The conditioned reconstructed process. J Theor Biol. 2008, 253: 769-778. 10.1016/j.jtbi.2008.04.005.PubMedGoogle Scholar
- Hodgson JA, Sterner KN, Matthews LJ, Burrell AS, Rachana AJ, Raaum RL, Stewart C-B, Disotell TR: Successive radiations, not stasis, in the South American primate fauna. Proc Natl Acad Sci. 2009, 106: 5534-5539. 10.1073/pnas.0810346106.PubMedPubMed CentralGoogle Scholar
- Raaum RL, Sterner KN, Noviello CM, Stewart C-B, Disotell TR: Catarrhine primate divergence dates estimated from complete mitochondrial genomes: concordance with fossil and nuclear DNA evidence. J Hum Evol. 2005, 48: 237-257. 10.1016/j.jhevol.2004.11.007.PubMedGoogle Scholar
- Steiper ME, Young NM: Timing primate evolution: Lessons from the discordance between molecular and paleontological estimates. Evol Anthropol Issues, News, Rev. 2008, 17: 179-188. 10.1002/evan.20177.Google Scholar
- Chiou KL, Pozzi L, Lynch Alfaro JW, Di Fiore A: Pleistocene diversification of living squirrel monkeys (Saimiri spp.) inferred from complete mitochondrial genome sequences. Mol Phylogenet Evol. 2011, 59: 736-745. 10.1016/j.ympev.2011.03.025.PubMedGoogle Scholar
- Wilkinson RD, Steiper ME, Soligo C, Martin RD, Yang Z, Tavaré S: Dating primate divergences through an integrated analysis of palaeontological and molecular data. Syst Biol. 2011, 60: 16-31. 10.1093/sysbio/syq054.PubMedPubMed CentralGoogle Scholar
- Drummond AJ, Ho SYW, Phillips MJ, Rambaut A: Relaxed phylogenetics and dating with confidence. PLoS Biol. 2006, 4: e88-10.1371/journal.pbio.0040088.PubMedPubMed CentralGoogle Scholar
- Hedges SB, Kumar S: Precision of molecular time estimates. Trends Genet. 2004, 20: 242-247. 10.1016/j.tig.2004.03.004.PubMedGoogle Scholar
- Ho SYW: Calibrating molecular estimates of substitution rates and divergence times in birds. J Avian Biol. 2007, 38: 409-414. 10.1111/j.0908-8857.2007.04168.x.Google Scholar
- Ho SYW, Phillips MJ: Accounting for calibration uncertainty in phylogenetic estimation of evolutionary divergence times. Syst Biol. 2009, 58: 367-380. 10.1093/sysbio/syp035.PubMedGoogle Scholar
- Benton MJ, Donoghue PCJ: Paleontological evidence to date the tree of life. Mol Biol Evol. 2007, 24: 26-53.PubMedGoogle Scholar
- Donoghue PCJ, Benton MJ: Rocks and clocks: calibrating the Tree of Life using fossils and molecules. Trends Ecol Evol. 2007, 22: 424-431. 10.1016/j.tree.2007.05.005.PubMedGoogle Scholar
- Pozzi L, Hodgson JA, Burrell AS, Disotell TR: The stem catarrhine Saadanius does not inform the timing of the origin of crown catarrhines. J Hum Evol. 2011, 61: 209-210. 10.1016/j.jhevol.2011.02.008.PubMedGoogle Scholar
- Haile-Selassie Y: Late Miocene hominids from the middle Awash, Ethiopia. Nature. 2001, 412: 178-181. 10.1038/35084063.PubMedGoogle Scholar
- Senut B, Pickford M, Gommery D, Mein P, Cheboi K, Coppens Y: First hominid from the Miocene (Lukeino Formation, Kenya). Comptes Rendus de l’Académie des Sciences - Series IIA. Earth Planetary Sci. 2001, 332: 137-144.Google Scholar
- Vignaud P, Duringer P, Mackaye HT, Likius A, Blondel C, Boisserie J-R, De Bonis L, Eisenmann V, Etienne M-E, Geraads D, Guy F, Lehmann T, Lihoreau F, Lopez-Martinez N, Mourer-Chauviré C, Otero O, Rage J-C, Schuster M, Viriot L, Zazzo A, Brunet M: Geology and palaeontology of the Upper Miocene Toros-Menalla hominid locality, Chad. Nature. 2002, 418: 152-155. 10.1038/nature00880.PubMedGoogle Scholar
- Brunet M, Guy F, Pilbeam D, Mackaye HT, Likius A, Ahounta D, Beauvilain A, Blondel C, Bocherens H, Boisserie J-R, De Bonis L, Coppens Y, Dejax J, Denys C, Duringer P, Eisenmann V, Fanone G, Fronty P, Geraads D, Lehmann T, Lihoreau F, Louchart A, Mahamat A, Merceron G, Mouchelin G, Otero O, Pelaez Campomanes P, Ponce De Leon M, Rage J-C, Sapanet M, et al: A new hominid from the Upper Miocene of Chad, Central Africa. Nature. 2002, 418: 145-151. 10.1038/nature00879.PubMedGoogle Scholar
- Kelley J: The hominoid radiation in Asia. The Primate Fossil Record. Edited by: Hartwig WC. 2002, Cambridge, UK: Cambridge University Press, 369-384.Google Scholar
- Gebo DL, MacLatchy L, Kityo R, Deino A, Kingston J, Pilbeam D: A hominoid genus from the early Miocene of Uganda. Science. 1997, 276: 401-404. 10.1126/science.276.5311.401.PubMedGoogle Scholar
- Pilbeam DR, Walker AC: Fossil monkeys from the Miocene of Napak, Northeast Uganda. Nature. 1968, 220 (5168): 657-660. 10.1038/220657a0.PubMedGoogle Scholar
- Benefit BR, McCrossin ML: The Victoriapithecidae, Cercopithecoidea. The Primate Fossil Record. Edited by: Hartwig WC. 2002, Cambridge, UK: Cambridge University Press, 241-253.Google Scholar
- Leakey M: Evolution of Theropithecus in the Turkana Basin. Theropithecus: The Rise and Fall of a Primate Genus. Edited by: Jablonski NG. 1993, Cambridge, UK: Cambridge University Press, 85-123.Google Scholar
- Frost S: African Pliocene and Pleistocene cercopithecid evolution and global climatic change. Hominin Environments in the East African Pliocene: An assessment of the Faunal Evidence. Edited by: Bobe R, Alemseged Z. 2007, New York: Springer, 51-76.Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.