Article | Open

Resolving kangaroo phylogeny and overcoming retrotransposon ascertainment bias

  • Scientific Reports 7, Article number: 16811 (2017)
  • doi:10.1038/s41598-017-16148-0
  • Download Citation
Received:
Accepted:
Published online:

Abstract

Reconstructing phylogeny from retrotransposon insertions is often limited by access to only a single reference genome, whereby support for clades that do not include the reference taxon cannot be directly observed. Here we have developed a new statistical framework that accounts for this ascertainment bias, allowing us to employ phylogenetically powerful retrotransposon markers to explore the radiation of the largest living marsupials, the kangaroos and wallabies of the genera Macropus and Wallabia. An exhaustive in silico screening of the tammar wallaby (Macropus eugenii) reference genome followed by experimental screening revealed 29 phylogenetically informative retrotransposon markers belonging to a family of endogenous retroviruses. We identified robust support for the enigmatic swamp wallaby (Wallabia bicolor) falling within a paraphyletic genus, Macropus. Our statistical approach provides a means to test for incomplete lineage sorting and introgression/hybridization in the presence of the ascertainment bias. Using retrotransposons as “molecular fossils”, we reveal one of the most complex patterns of hemiplasy yet identified, during the rapid diversification of kangaroos and wallabies. Ancestral state reconstruction incorporating the new retrotransposon phylogenetic information reveals multiple independent ecological shifts among kangaroos into more open habitats, coinciding with the Pliocene onset of increased aridification in Australia from ~3.6 million years ago.

Introduction

The genus Macropus includes kangaroos, wallaroos and wallabies, which are herbivorous, and occupy a wide range of terrestrial habitats throughout Australia, parts of New Guinea and several surrounding islands1. The 13 species are currently grouped into three subgenera - the predominantly mesic members of M. (Macropus) and M. (Notamacropus), as well as the more arid adapted members of M. (Osphranter)2. The evolutionary relationships among these subgenera and their relationship to the swamp wallaby (Wallabia bicolor) have remained contentious3,4,5. Studies based on maternally inherited mitochondrial DNA (mtDNA) have favoured a sister relationship between Wallabia and the genus Macropus4,6. This is broadly in agreement with morphological studies, which have placed Wallabia outside of Macropus7,8. However, analysis of five concatenated nuclear genes provided moderate support for Wallabia bicolor being nested inside Macropus3. Conversely, the traditional placement of the black-gloved wallaby (Macropus irma) within M. (Notamacropus) is supported by nuclear DNA3, whereas analysis of mtDNA instead placed Macropus irma within M. (Osphranter)4. The sister group to Macropus and Wallabia also remains unclear. Morphological characters arguably favour the nail tail wallabies (Onychogalea) as the sister group to Macropus and Wallabia5,7,8, while five concatenated nuclear loci weakly favour the hare wallabies (Lagorchestes)3, and mtDNA analyses remain uncertain9.

Macropus and Wallabia stem from within a broader adaptive radiation of macropodid genera (also including Lagorchestes, Onychogalea, and Setonix) that took place during the Late Miocene, a period of gradual cooling, drying and opening of forests across Australia3,8,10,11. According to previous molecular dating estimates, the divergence of all three Macropus subgenera and Wallabia took place over a period of 1–2 million years3,4. This rapid radiation is consistently associated with low statistical support among both nuclear and mitochondrial DNA for relationships among the three subgenera of Macropus. This uncertainty precludes confident inference of whether habitat expansion into semi-arid grasslands and grazing specializations (see ref.12) evolved early in macropodids or later, independently in the Macropus subgenera, M. (Osphranter) and M. (Macropus), and also in Onychogalea.

Next generation DNA sequencing and the increasing availability of complete nuclear genomes have allowed phylogenetic relationships to be investigated using novel methods that utilize genome level characters13. Here we employ a genome-wide retrotransposon presence/absence analysis, in an attempt to resolve the evolutionary history of the genera Macropus and Wallabia. Retrotransposons have a number of advantages over traditional sequence based phylogenetic reconstruction. Most notably, retrotransposons are a virtually homoplasy-free marker system13,14,15, due to near-random insertion across the genome providing an almost unlimited size of character space. Traditional DNA sequence-based methods, which are more prone to homoplasy within loci, can obscure gene tree affinities. Furthermore, retrotransposon analyses utilize a relatively simple and unambiguous parsimony approach13, unlike sequence-based methods that require complex models of molecular evolution.

Hypothesis testing with retrotransposons has typically assumed equal prior probability of identifying markers supporting each of the three bifurcating topologies that could be resolved from a phylogenetic trichotomy16. However, few reference genomes of closely related taxa are available for screening retrotransposon insertions, which results in an ascertainment bias17. Specifically, markers that support any grouping that does not include a reference taxon are unlikely to be observed, such that the retrotransposon method is “blind” to some trees (Fig. 1)17,18. This is a particularly critical problem for retrotransposon studies based on a single reference genome e.g. refs19,20,21. Avoiding an ascertainment bias requires n-1 reference genomes for each set of n taxa within the phylogeny of interest. Thus with only four distantly related genomes published so far (opossum, Tammar wallaby, Tasmanian devil and koala)22,23,24,25, marsupials (and most other taxa) will continue to be susceptible to the retrotransposon ascertainment bias for the foreseeable future. This highlights the importance of developing analytical methods to overcome genome scarcity, which will in turn, allow researchers to confidently infer phylogenies from retrotransposon markers.

Figure 1
Figure 1

Hypothetical example illustrating the “blind” tree scenario that occurs when only a single reference genome is available. Initial in silico screening of the reference genome (R) will have identified the markers for experimental screening across taxa, such that insertions will only be observable in clades that include taxon R. In T1 and T2, the reference genome (species R) groups with species B and C respectively. However T3 is referred to as the “blind” tree since any retrotransposon insertion supporting species B and C grouping together will be unobservable. Black circles represent observable retrotransposon markers supporting topologies (T1 and T2); the grey circle represents potential retrotransposon markers that are unobservable in this scenario.

Kuritzin et al.18 provided the first step in accommodating the single reference genome ascertainment bias by amending the previously published P-value calculations of Waddell et al.16 for hypothesis testing with retrotransposons (Materials and Methods). To meet a significance level P = 0.05, a minimum of three unopposed markers (P = 0.0370) are sufficient when the ascertainment bias does not need to be considered. However, five unopposed binary markers are required (P = 0.0370) with the ascertainment bias. Kuritzin et al.18 suggested that when only a single reference genome is available, the ascertainment bias renders phylogenetic resolution impossible, due to the “blind” tree. We present three arguments that can be used to reject the “blind” tree and confirm the phylogeny or alternatively, to show that additional reference genomes will be required. These arguments include consideration of a priori evidence, discussed on a case by case basis, and two tests for whether the observed markers could be hemiplasic instead of reflecting species relationships. We define hemiplasy inclusively, to include its original usage for incomplete lineage sorting (ILS)26, as well as introgression, which often cannot be distinguished from ILS for individual loci4. The statistical tests are independent of any a priori evidence and allow us to infer whether the observed markers could derive from (i) ILS, which is expected to distribute markers symmetrically between the two non-species trees or (ii) introgression/hybridisation, which influences the ratio of observed markers on successive branches (Materials and Methods). We employ this statistical framework to account for the ascertainment bias that arises when relying on only the Macropus eugenii reference genome27 to extract phylogenetically informative retrotransposons. We present the first retrotransposon-based phylogeny of kangaroos and wallabies (Family Macropodidae), and trace their adaptive diversification over the past 10 million years.

Materials and Methods

Assessment of retrotransposon activity

Initial selection of potentially phylogenetically informative markers was carried out using the reference genome assembly of Macropus eugenii (version macEug2, http://ucsc.genome.edu). The M. eugenii genome assembly was used to extract single-copy introns and/or intergenic regions containing retrotransposons (Supplementary Information). Resulting sequence alignments were repeat masked using either RepeatMasker28 or CENSOR, http://www.girinst.org/censor/index.php29 to identify the position of repeat elements within the sequence and facilitate primer design. Primers were designed to flank repetitive elements approximately 250–400 nt either side of the retrotransposon (Supplementary Table S1). Primer specificity for single copy regions was tested in silico for the M. eugenii genome.

Experimental verification

DNA extractions (Supplementary Table S2) were performed using standard phenol chloroform extraction30 or the gDNA extraction kit (Promega). Conditions for PCR screening are given in the Supplementary Information. The amplicon size difference between species for each primer pair (visualized by gel-electrophoresis) was used to predict informative phylogenetic markers. The selected markers were verified by Sanger sequencing to validate the presence of Kangaroo Endogenous RetroViral Element-1 (KERV-1) insertions and target site duplications27. Representatives from multiple taxa following insertion and one or more taxa without the insertion were Sanger sequenced to verify PCR patterns for all markers. For closely related species within lineages, Sanger sequences and gel electrophoresis presence of a ‘filled site’, exemplified by a ~400 nt larger PCR product, was used to establish the phylogenetic position of the marker (Supplementary Material). When direct sequencing was problematic, PCR products were ligated into the pDrive plasmid (Qiagen) prior to sequencing. All sequences were visually inspected and aligned in Se-AL 2.031.

Calculation of retrotransposon phylogenetic support values

The sequence alignments and PCR gel-electrophoresis patterns were used to catalogue the presence/absence of phylogenetically informative markers (Supplementary Table S3), which are plotted on the tree in Fig. 2. Our strategy was to establish the branch on which insertion occurred, focusing on sampling Macropus (and Wallabia), and also showing that the marker is not present on at least two (ideally successively) deeper lineages. The only less stringent exceptions are K136, which was thus not employed for hypothesis testing (but could be included for parsimony analysis), and K107, which was absent only in the deepest macropod. Several untested markers in M. parma are due to limited DNA availability, but multiple other members of M. (Notamacropus) were tested. Wallabia and at least one of the closely related members of M. (Osphranter) and M. (Macropus) were sampled for all markers pertaining to relationships within Macropodinae.

Figure 2
Figure 2

Kangaroo and wallaby maximum parsimony phylogeny inferred from retrotransposon data. Dark red circles represent retrotransposon markers. Clades for which there is no retrotransposon information (shown here without red dots) were then resolved in agreement with phylogenetic analyses of both nuclear and mitochondrial DNA sequences3,4,39. ML support values are obtained from an independent analysis3 that utilized nuclear genes, for comparison with the retrotransposon markers. Shaded rectangles represent the genus Wallabia (light blue) and the Macropus subgenera (orange). Coloured vertical bars (C1 – C8) each represent a retrotransposon marker that conflicts with the majority based on parsimony inference, and indicate alternative groupings of taxa (e.g. conflict bar C1 supports a grouping of M. eugenii + M. agilis + M. parma + M. rufogriseus + W. bicolor to the exclusion of M. irma and other macropods). Identified presences and absences are respectively marked (+) and (−) or unmarked if data is missing. Outgroup species are Onychogalea unguifera, Lagorchestes hirsutus, Thylogale thetis and Lagostrophus fasciatus. Marker indexes refer to Table 2, and are numbered i) to viii), with iii) and iv) both summing markers along two branches. The location of the markers is based on Sanger sequencing and scoring filled and empty sites from PCR amplification patterns (Supplementary Table S3, Figure S3a,b). Kangaroo images by Jon Baldur Hlidberg.

P-values for each branch were calculated for the retrotransposon data using binomial probability based on a similar statistical approach to that described by Kuritzin et al.18, which updates the statistics of Waddell et al.16 (Table 1). The P-values are based on the probability of random allocation of markers to the three alternative bifurcating tree hypotheses that can be resolved from a trichotomy. Consider Fig. 1, where 2, 1 and 0 markers respectively support the three topologies; T1 ((R, B), C), T2 ((R, C), B), and T3 ((B, C), R), where taxon R is the reference genome. This gives a retrotransposon count of [2 1 0]. The exact cumulative binomial probability (PB) for T1 being supported by at least two of three markers, each with probability 1/3, is PB = 0.2593.

Table 1: Cumulative P-values for testing prior tree hypothesis T1 on retrotransposon counts18 amended from16. Additional P-values can be calculated at http://retrogenomics.uni-muenster.de:3838/KKSC_significance_test/.

The ascertainment bias resulting from using a single reference genome requires further amendment, because markers supporting the clade that does not include the reference genome are not observable. Hence, we refer to T3 ((B, C), R) as the “blind” tree. The retrotransposon count reduces to [2 1 X], with X indicating unknown status. Hypothesis testing becomes binary, and [2 1 X] is among 23 = 8 permutations for three markers ([3 0 X], [0 3 X], and three permutations each for [2 1 X] and [1 2 X]). Half of these permutations ([3 0 X] and the three permutations for [2 1 X]) are at least as favourable for T1 as is the observed count [2 1 X]. Hence, when acknowledging that markers for the “blind” T3 are unobservable, the exact cumulative binomial probability for tree 1 being supported by at least two of three markers, each with probability ½, increases to PB = 0.5.

The binomial probability calculations with all markers being observable are identical to Kuritzin et al.’s18 “multi-directional KKSC test” and binomial probability calculations with one clade being “blind” to insertions are identical to the “one-directional KKSC test”. Given this equivalence with cumulative binomial probability, we will refer to these binomial probability tests as KKSC (PB) tests.

Derivation of arguments for overcoming the single reference genome ascertainment bias

A significant KKSC (PB) test rejects the null hypothesis that there is no difference in support for the two observable trees. To reject the “blind” tree, two further hypotheses need to be rejected. These are, HILS: that the “blind” tree is the species tree and markers supporting the observable trees result from ILS, and HIntrogression: that the “blind” tree is the species tree and markers supporting the observable trees result from introgression/hybridization.

We employ an ILS symmetry argument to test HILS. Theory18,32,33 and observed patterns34,35 show that ILS will distribute markers that conflict with the species tree roughly symmetrically among the two non-species tree alternatives (the two observable trees, if the “blind” tree is the species tree). The multi-directional KKSC-hybridization test of Kuritzin et al.18 (http://retrogenomics.uni-muenster.de:3838/KKSC_significance_test) tests whether ILS alone can explain the difference in the number of markers supporting the two clade hypotheses with the fewest insertions. Our ILS test is a special case of the KKSC-hybridization test, in which the hypothesis specifies that the “blind” tree X is the species tree. Therefore X can take any value ≥ the number of markers supporting the favoured observable clades. Conveniently, under this condition the multi-directional KKSC-hybridization test (and ILS test) is independent of X.

In Fig. 3 the “blind” tree, T3 (iii) is ((B, C), R), where R is the reference genome. Significant disparity in the number of markers supporting trees T1 (i) and T2 (ii) allows us to reject the hypothesis that the observed markers resulted from ILS, and hence, reject HILS. The ILS (and KKSC-hybridization) test is the same binomial probability test as for KKSC (PB), except PILS is two-tailed, because the disparity could be T1 > T2 or T1 < T2. ILS tests for the hypothetical examples in Fig. 3 reject the “blind” T3 (iii) for (a) [8 1 X] PILS = 0.0391, but cannot reject the “blind” T3 (vi) for (b) [6 6 X] PILS = 1.0.

Figure 3
Figure 3

ILS symmetry test. Hypothetical scenario illustrating the ILS symmetry test for accepting or rejecting the “blind” tree, under the assumption of ILS. There are three possible topologies (T1–T3) for clades R, B and C. Different numbers of retrotransposon markers are observed (black dots) or principally unobservable (grey dot), when genome data is only available for the reference genome, R. Generally, the species tree is expected to have the highest number of markers, while ILS is expected to distribute insertions approximately evenly between the two alternative (non-species tree) groupings. Under ILS, in (a) if T1 (i) has numerous markers, and T2 (ii) has few markers, then the “blind” T3 (iii) is also expected to have few markers (maintaining ILS symmetry), and T1 can be inferred to be the species tree. If few insertions occurred along the (R, B) stem lineage of the species tree, that topology may not be supported by significantly more insertions than ILS distributes to the non-species tree alternatives. Hence, in (b) if T1 (iv) and T2 (v) are supported by a similar number of markers, symmetry in the number of deep coalescences between the two non-species trees could arise in two ways. T3 (vi) could be the species tree and potentially supported by a larger number of unobserved markers (ILS symmetry between T1 and T2) or either T1 or T2 could be the species tree with a similar number of markers supporting (C, B) and ILS symmetry maintained between T2 and T3 or T1 and T3, respectively.

Rejecting HILS still leaves the possibility that the “blind” tree is the species tree – if the observable markers result from introgression/hybridization (HIntrogression). We have developed a test for hybridization/introgression that considers the number of markers identified on successive branches along the stem lineage of the reference taxon. This “insertion ratio test” exploits the biological expectation that the proportion of insertions that introgression shares is governed by the proportion of the genome shared. If the “blind” tree is the species tree, these introgressed markers will instead appear to support a non-species tree that includes the reference taxon.

A hypothetical example of introgression is illustrated in Fig. 4. We start by assuming the “blind” tree (i) is the species tree (grouping taxa B + C). The parameters α and β are the respective numbers of markers that inserted before and after a proportion (γ) of the reference genome (R) was shared and remains with taxon B. This genetic sharing favours the observed tree (ii), grouping the reference (R) with taxon B. The expected number of introgressed markers supporting this “incorrect” tree is n = βγ. The number of markers expected along the stem lineage of R is m = α + β(1 − γ), where the term β(1 − γ) is the number of markers along the lineage leading to R that inserted before the introgression event, but are in the portion of the genome not shared with taxon B.

Figure 4
Figure 4

Insertion ratio test. Hypothetical scenario illustrating the ‘insertion ratio test’ for accepting or rejecting the “blind” tree under the assumption of introgression/hybridization. (i) Hypothetical “blind” tree with α and β representing insertions respectively occurring after and before an introgression event between the stem lineages of species R (reference genome) and species B. The proportion of the genome shared and retained between species R and B is γ. (ii) The expected tree under this hypothetical introgression scenario, with γ = 0.5. The expected number of insertions from introgression supporting (R + B) is n = β γ and the expected number of unshared insertions (and so, unique to R) is m = α + β(1-γ). (iii) The experimentally identified “observed tree” with d markers supporting R + B and e markers unique to the branch leading to the reference genome, R. If d is significantly higher than n under binomial probability, we reject the hypothesis that introgression/hybridization can explain the level of support for the observed tree. A maximum value for n can be estimated as N = γ(d + e), see Materials and Methods.

The insertion ratio test rejects the hypothesis that the observed tree (Fig. 4iii) derives from introgression/hybridization, if the number of markers (d) supporting (R + B), is significantly greater than introgression is expected to contribute, denoted n in (ii). Unfortunately, we cannot know the true value of n (recall that n = βγ), because the number of markers (β and α) in (i) and the shared proportion of the genome shared (γ) are all unknown. However, we note that n is maximized when α = 0 and γ is high, e.g. 0.5 would be an extreme value for γ. Then knowing only the observed tree (iii), the maximum value of n (which we denote N) is the proportion of the genome shared (γ), multiplied by the number of markers potentially available in stem-R for sharing (d + e = 8). In this scenario N = γ(d + e) = 4, which being a maximum value, provides a conservative insertion ratio test.

The insertion ratio test is denoted PR50 when γ = 0.5, and is expressed in the form (d,e) (see Fig. 4iii) as a standard cumulative binomial probability test, for which the number of “trials” (markers) is d + e, the number of “successes” (markers shared) is d, and the “expected probability of success” for each trial reduces to γ. Returning to the observable tree in Fig. 4iii, the clade (R + B) is supported by d = 6 markers and the next (shallower) clade that includes the reference taxon is supported by e = 2 markers. With this observed insertion ratio count (6,2) in Fig. 4iii, PR50 = 0.1445. Essentially, the observed support (d = 6) is not significantly higher than expected under 50% introgression (N = 4). Hence, we cannot reject HIntrogression: “blind” species tree with 50% introgression/hybridization contributing the markers supporting (R + B).

Setting the shared and retained proportion of the genome (γ) to 0.5 is an extreme scenario, such as for homoploid hybrid species derived purely from F1 hybrid ancestors. Thus, PR50 is very conservative. On both morphological and population genetic evidence there is only support for lower level introgression, even among closely related kangaroos4,36, and so we also present a more realistic scenario for the insertion ratio test, with γ = 0.2 (PR20). In the Fig. 4(iii) example, this reduces N to 0.2 × (6 + 2) = 1.6, and for (6,2), PR20 = 0.0012. If the ILS test and the insertion ratio test respectively reject HILS and HIntrogression, then at least some markers supporting the observed tree derive from shared species tree ancestry, and we can reject the “blind” tree.

Molecular dating and ancestral habitat reconstruction was carried out with MrBayes 3.2.637. The analyses employed the five nuclear gene (Rag1, BRCA1, vWF, IRBP, ApoB) data matrix of Meredith et al.3 for 31 macropods (Macropodiformes), and seven outgroup species, with temporal calibration from six fossil-based priors (Supplementary Information).

Ethics statement: All specimens were already deceased at the time of sampling (ie. Roadkill, animal shelters, wildlife sanctuaries and zoos). Tissue use is covered by QUT ethics approval confirmation number 1400000559. No further experimental ethics requirements are necessary, given the nature of this research.

Data Availability

All alignments are available in fasta-format as Supplementary material. All sequences have been deposited into the European Nucleotide Archive under the accession numbers: LT598171 -LT598445.

Results

Activity of an endogenous retrovirus during the evolution of Macropus

An exhaustive in silico screen of the reference genome, Macropus eugenii, identified three prevalent retrotransposon types, LINE (LINE1), SINE (WALLSI2) and ERV (KERV-1 deposited in Repbase as MERVK1) elements. 38 LINE1 and seven WALLSI2 loci were screened experimentally, but these elements showed no phylogenetic activity for the investigated branches as the markers were present in all tested species. We experimentally screened 83 KERV-1 (MERVK1) loci across 16 macropodiform species, covering the major clades over ~25 million years of evolution, and identified 29 phylogenetically informative solo-LTRs (Fig. 2 and Supplementary Table S4). Each KERV-1 insertion is flanked by 5–6 nt long target site duplications without a common motif (Supplementary Table S4). Many of the examined ERVs appear to have diagnostic sequence changes (e.g. 40 nt deletions) separating them from previously published KERV-1 elements, suggesting that the number of currently described KERV-1 sub-families has been underestimated. Additional screening was carried out in six Macropus eugenii individuals to investigate polymorphic retrotransposon markers (Supplementary Table S5), which suggest recent or ongoing retrotransposition. To reduce the single reference genome ascertainment bias, 33 introns that lacked retrotransposon insertions in Macropus eugenii were also experimentally screened in additional species, but yielded no novel markers. The 29 phylogenetically informative KERV-1 markers are shown in Fig. 2. Eight of these markers (~28%) phylogenetically conflict with the majority, and are designated as C1–C8 (Fig. 2). For each relevant node we note the insertion pattern count (Table 2).

Table 2: Trifurcation results for each of the major nodes investigated in this study, with P-values reported for the binomial probability KKSC (PB) test, as well as for the insertion ratio and ILS symmetry tests (when PB ≤ 0.1).

Wallabia bicolor is nested within the paraphyletic genus Macropus

Grouping Wallabia and the subgenus M. (Notamacropus), to the exclusion of M. (Osphranter) is supported by six shared retrotransposon markers (Fig. 2, Table 2ii). One single conflicting marker was found, C3 (K106) placing Wallabia outside of M. (Notamacropus)/M. (Osphranter). Overall, these retrotransposon markers favour Wallabia grouping with M. (Notamacropus), [6 1 X]. Our statistical testing provides PB = 0.0625 and PILS = 0.125. The insertion ratio test for this Wallabia/M. (Notamacropus) clade (6,2) gives PR50 = 0.1445, PR20 = 0.0012 (Table 2ii).

Strong rejection of the 20% introgression/hybridisation hypothesis can be explained as follows. If 20% of the genome is shared and retained, the probability of any one marker in stem-Notamacropus being shared with Wallabia is 0.2. So among the maximum of 8 markers (6 and 2, respectively from clades ii and i in Fig. 2) that are shared by all members of M. (Notamacropus), we would expect on average, N = 0.2 × 8 = 1.6 to be shared by introgression with stem-Wallabia, and appear as support for grouping Wallabia with M. (Notamacropus). The remaining 6.4 markers would be expected to appear as support exclusively for M. (Notamacropus). The observed support is the reverse, with six markers supporting Wallabia/M. (Notamacropus) and only two markers supporting M. (Notamacropus).

Note that the value of N for gene flow from the clade including the reference genome (R) is robust to variation in retrotransposition rates among lineages. For gene flow in the opposite direction, to R, the calculation of N assumes equal rates of retrotransposition before the gene sharing event, between the lineage leading to R (e.g. M. (Notamacropus)) and the lineage leading to its hypothesised sister taxon (e.g. Wallabia). The continuity of the KERV genetic divergence profile for Macropus eugenii27 suggests that retrotransposition rates remain similar over the short timeframes that would cover the critical periods since species divergences, in which large-scale hybridisation/introgression remains likely. However, the actual variation in retrotransposition rates for KERV-1 are not well described. Nevertheless, PR values would only be overconfident in the scenario that gene flow was from Wallabia to M. (Notamacropus) and retrotransposition was more than twice as fast in stem-Wallabia than stem-Notamacropus (Supplementary Figure S1). Theoretically, rate differences could become more of a concern as retrotransposition patterns diverge among taxa that are more divergent, although, the probability of introgression will also decrease with divergence. Nevertheless, substantially differing mixes of retrotransposon marker families on adjacent branches might warrant additional caution or rate considerations. Otherwise, PR values will typically be conservative for the given gene flow percentage. In particular, insertion rate differences along lineage R before and after introgression may reduce the power of the insertion ratio test, but will not promote false rejection of the “blind” tree. The effect of insertion rate variation is further discussed in the Supplementary Information (“Conservatism of the insertion ratio test”).

For assigning markers to the statistical tests we follow the usual practice of only including unambiguous phylogenetic patterns18. That is, patterns that fit one of the three trees within the trifurcation of interest without any hemiplasy or homoplasy. Ambiguous insertion patterns (or multilevel conflicts)18 are prevalent around the base of M. (Notamacropus), most likely due to short time intervals between divergences allowing complex patterns of ILS and introgression. Hemiplasy (or homoplasy) across multiple internal branches is required to explain ambiguous patterns, such as C1 (K106), which could place Wallabia with M. (Notamacropus), but excludes Macropus irma. Including ambiguous patterns would add five further markers (C1, C5-8) in support of grouping Wallabia bicolor with members of M. (Notamacropus). One additional insertion, C2 (K78) instead excludes Wallabia from M. (Notamacropus)/M. (Osphranter), but is also present in M. (Macropus). These ambiguous markers increase statistical support for placing Wallabia with M. (Notamacropus) [11 2 X], PB = 0.0112, however, as Kuritzin et al.18 point out, hemiplasy across multiple internal branches contravenes the assumptions of most statistical tests for retrotransposons. Doronina et al.38 recently extended testing to the simplest (4 branch) case, but not for cases with reference genome ascertainment biases.

Looking deeper at the affinities of Wallabia, three additional markers are shared with both M. (Notamacropus) and M. (Osphranter), [3 1 X], PB = 0.3125 (Table 2v), such that, cumulatively, nine markers unambiguously support Wallabia bicolor falling within a paraphyletic Macropus [9 1 X] PB = 0.0107, PILS = 0.0215, (9,2) PR50 = 0.0327, PR20 < 0.0001 (Table 2iv). One additional marker (C5) also favours placing Wallabia bicolor within a paraphyletic Macropus, but is ambiguous on the tree, because it is M. (Osphranter) rather than M. (Macropus) that lacks the marker and is therefore excluded. Overall, the findings provide strong evidence that the monotypic swamp wallaby (Wallabia bicolor) is a member of Macropus, and not that clade’s sister taxon.

Macropus irma groups with the M. (Notamacropus) wallabies

Placement of Macropus irma with the other members of M. (Notamacropus) to the exclusion of Wallabia is supported by two markers, with one conflicting retrotransposon marker, C1 (K106) (Fig. 2) that excludes Macropus irma from M. (Notamacropus)/Wallabia, [2 1 X], PB = 0.5 (Table 2i). Thus, retrotransposon insertion markers alone provide only weak support for the monophyly of M. (Notamacropus). Setting aside the question of Wallabia however, and focusing only on the position of Macropus irma among the three Macropus subgenera, a total of eight (Fig. 2) unopposed markers clarify the placement of Macropus irma with the core members of M. (Notamacropus), [8 0 X], PB = 0.0039. The ILS symmetry and insertion ratio tests strongly reject ILS and introgression/hybridization contributing the eight markers that support Macropus irma grouping with the core members of M. (Notamacropus) PILS = 0.0078 and (8,0) PR50 = 0.0039, PR20 < 0.0001 (Table 2iii). Here, the ILS symmetry test tells us that if the “blind” grouping of Macropus irma with M. (Osphranter) was the true species relationship, the 8 versus 0 asymmetry for markers supporting the two alternative, observable tree patterns is highly unlikely to result from ILS. The eight markers that support Macropus irma grouping with the core members of M. (Notamacropus) are also unlikely to be derived from hybridization/introgression between Macropus irma and M. (Notamacropus). This is because we would expect a similar or greater number of markers shared by just the core members of M. (Notamacropus), derived from the portion of the genome not shared with Macropus irma – however there are none (Table 2iii).

Deeper Macropodine phylogeny

We identified conflicting phylogenetic signal at the base of Macropus. Three retrotransposon markers (Fig. 2, Table 2v) support grouping M. (Notamacropus), Wallabia and M. (Osphranter) to the exclusion of M. (Macropus). However, one marker (C5) supports grouping M. (Macropus) with M. (Notamacropus) and Wallabia ([3 1 X] PB = 0.3125). Three markers support the monophyly of Macropus plus Wallabia [3 0 X] PB = 0.125 (Table 2vi), a further two retrotransposon markers are shared between Macropus, Wallabia and Onychogalea, to the exclusion of Lagorchestes, although one of these is ambiguous, also being shared with the deeper Thylogale, hence [1 0 X], PB = 0. 5 (Table 2vii). Finally, four markers group macropodines to the exclusion of Lagostrophus fasciatus (the banded hare wallaby) [4 0 X] PB = 0.0625, PILS = 0.1250, (4,0) PR50 = 0.0625, PR20 = 0.0016 (Table 2viii).

Adaptive radiation of kangaroos and wallabies

To examine the implications of our phylogenetic findings based on retrotransposon markers, we inferred the timescale and habitat ancestry for the diversification of Macropodiformes. Relaxed molecular clock dating analyses of five nuclear genes for the topology in Fig. 2 estimated that the four “Macropus” clades, M. (Macropus), M. (Osphranter), M. (Notamacropus) and Wallabia successively diverged from each other over a period covering about 1.6 Ma, beginning 6.92 Ma (95% highest posterior density (HPD): 5.65–8.91 Ma) (Fig. 5).The last of these divergences, between Wallabia and M. (Notamacropus) was inferred at 5.33 Ma (95% HPD: 3.74–7.07 Ma). An earlier phase of diversification from about 7–9 Ma covers almost all intergeneric divergences among both potoroids and macropodines.

Figure 5
Figure 5

Time Calibrated Bayesian phylogeny of the Macropodidae with nodes constrained using the retrotransposon phylogeny and ancestral habitat states displayed as coloured branches. Black = Predominantly closed, wet forest; green = open canopy forest; brown = substantial range extension into more arid grasslands or other open habitats. Pink shaded window represents the mid-Miocene climatic optimum from approximately 16–15 Ma; Yellow shaded window represents the major aridification of Australia and the coincident expansion of more open habitats from ~3.6 Ma. Blue dashed-line box indicates the branches which give rise to an ‘anomaly zone’ in which substantial conflict between retrotransposon markers is found. Numbers noted below branches indicate retrotransposon marker support for each node. Small brown and green boxes next to Petrogale indicate that the clades represented by the included Petrogale taxa are polymorphic with regards to habitat, with some species having expanded into more arid grasslands, while others are more restricted to forested habitats.

Ancestral habitat reconstruction employed three states: (1) predominantly closed, wet forest (e.g. rainforest), (2) open canopy forest, and (3) substantial range extension into more arid grasslands or other open habitats. Parsimony reconstruction favours a habitat expansion from open canopy forest into more open habitats prior to the divergence of Onychogalea and Macropus, well before the Late Pliocene onset of increased aridification and major grassland expansion. Under this scenario Wallabia and M. (Notamacropus) would require a reversal to habitats dominated by open canopy forest. Bayesian inference modelling of habitat evolution instead favours a scenario in which all expansions from open canopy forests to grassland can be dated to the Pliocene grassland expansion, and no reversals are required (Fig. 5). This Bayesian inference ancestral habitat reconstruction provides better agreement with palaeobotany10,11, though it still does not strongly reject an earlier transition (Supplementary Information).

The kangaroo genome appears devoid of active LINE1 elements

We experimentally screened a region of the LINE1 ORF2 in Macropus robustus to further investigate the finding that each LINE-1 and SINE marker was present in all tested Macropus and Wallabia species, and thus, may lack ongoing or recent activity. From a total of 100 Sanger-sequenced clones, 99 contained deletions and/or stop codons within the analysed partial ORF2 fragment. Thus, only 1% of ORF2 sequences in our data set contained an ORF2 sequence that could be translated into amino acids. The mean within-group nucleotide distance among the 100 sequences is 0.178.

Discussion

The first and primary statistical test for retrotransposon markers16 does not account for a critical ascertainment bias for which markers cannot be identified in support of clades that do not include a reference genome. In addition, Kuritzin et al.18 show that this ascertainment bias results in a loss of statistical power. Complete genome sampling for most groups remains sparse, indeed many retrotransposon studies employ a single reference genome19,20,21 and may be overstating statistical confidence and prematurely confirming or overturning DNA sequence based phylogenetic inferences.

In our study of kangaroos and wallabies, the ascertainment bias for detecting retrotransposon markers is clear – all of the identified markers fall on branches ancestral to the single reference genome, Macropus eugenii. This includes phylogenetically conflicting markers (hemiplasy) that support alternative groupings (Fig. 2, C1–8). However, insertion patterns for clades that exclude Macropus eugenii remain unobservable. Experimental approaches were employed to address this ascertainment bias. Screening of 33 introns “devoid” of retrotransposon insertions in Macropus eugenii did not yield any novel markers, and the approach will require many-fold more loci for effective, novel insertion discovery among kangaroos and wallabies.

In the absence of additional experimental or in silico evidence, three lines of reasoning were used to circumvent the single reference genome ascertainment bias. These arguments include consideration of (i) a priori evidence, (ii) the expectation that ILS will distribute markers that conflict with the species tree roughly symmetrically between the two alternative trees, and (iii) an insertion ratio test for whether introgression/hybridization could contribute the markers supporting the favoured “observed” tree. The latter two arguments (Figs 3 and 4) provide a basis for statistical tests that support the observed placements of Macropus irma and Wallabia bicolor with core-Notamacropus, and reject “blind” trees in which either Macropus irma or Wallabia would share a closer relationship with other Macropus subgenera (Table 2).

Overall our KKSC (PB), ILS and insertion ratio test results provide good agreement with Meredith et al.’s27 five nuclear gene phylogeny, indeed with the retrotransposons often lending statistically stronger support. In the one case of disagreement (retrotransposons favour Onychogalea instead of Lagorchestes as sister to Macropus/Wallabia), the nuclear sequence result was poorly resolved (57% ML bootstrap support), and the retrotransposon grouping agrees with morphological studies5,7,8. Retrotransposon support for M. eugenii grouping with M. parma instead of with M. agilis as found by Meredith et al.3 is not incongruence, but results from the latter study mislabeling M. eugenii and M. agilis.

Retrotransposon markers strongly support placing Wallabia bicolor within Macropus [9 1 X] (Fig. 2, Table 2iv) in agreement with nuclear genes3, and overturning Macropus monophyly, which has generally been favoured by morphological studies7,8 and by mitochondrial DNA9,39. For the more precise placement of Wallabia, our data suggest this genus is sister to the subgenus M. (Notamacropus), an arrangement that Meredith et al.3 weakly favoured, based on a five nuclear gene concatenation. Our retrotransposon markers provide stronger support for this Wallabia/M. (Notamacropus) clade (Fig. 2 and Table 2ii), although our ILS symmetry and insertion ratio tests do not reject the “blind” Wallabia/M. (Osphranter) clade at P = 0.05. A priori evidence strengthens the argument, because no previous molecular or morphological phylogenetic investigations favour the “blind” tree, leaving the most relevant comparison as the strong binary preference for Wallabia/M. (Notamacropus) over M. (Notamacropus)/M. (Osphranter).

Conflicting retrotransposon markers have been shown to be common when lineages diverge in rapid succession34,35. The present study on kangaroo and wallaby relationships is remarkable however, in the complexity of the hemiplasy. For example, four alternative insertion patterns place Wallabia bicolor with different groupings within Macropus that do not appear on the species tree (Fig. 2, C1, C5, C6/7, and C8). These provide additional support for Macropus paraphyly, although, for our statistical analyses we only include unambiguous markers (those without multilevel conflicts). This diversity of conflict is consistent with rapid successive divergences among the Macropus subgenera and within M. (Notamacropus), allowing ILS and perhaps introgression to span several internal branches on the species tree. From the origin of Macropus to the base of M. (Notamacropus), each of the three internal branches with conflict patterns, have estimated durations of ~0.8 Ma (Fig. 5). In contrast, branches supported by three or more insertions, and not subject to hemiplasy were longer (>1.0 Ma). Interestingly, the one conflict pattern that excludes Wallabia from Macropus (C2, Fig. 2) requires at least 1.6 Ma coalescence. The same phylogenetic placement based on mtDNA (which has lower effective population size) was suggested, based on coalescence simulations, to have arisen not by ILS, but by introgression into Wallabia from an extinct taxon outside of Macropus4.

Phillips et al.’s4 coalescent simulation study also showed potential for shallower ILS for nuclear loci between Wallabia bicolor and the Macropus subgenera. In all cases the conflicting markers have the same diagnostic ERV mutations and are therefore unlikely to result from independent insertion events of different ERVs. We cannot exclude the possibility of exact deletions of ERVs, however, exact deletions are very rare in other retrotransposon studies, and comprise <0.5% in primate genomes40.

The placement of Wallabia bicolor within the genus Macropus, as sister to M. (Notamacropus) presents a taxonomic anomaly. Meredith et al.3 suggested subsuming Wallabia bicolor into the genus Macropus, with the creation of a new subgenus, M. (Wallabia). Another possibility is maintaining Wallabia, and instead elevating the three Macropus subgenera (Osphranter, Macropus and Notomacropus) to independent genera41. Short internal branches separating the subgenera (~0.8 million years) and the potential for hybridization, even if offspring are typically sterile42,43 may favour subsuming Wallabia bicolor into Macropus. Conversely, substantial behavioural and ecological differences between each of the Macropus subgenera and Wallabia argue for elevating each to the genus level. Morphological considerations are also required to guide this taxonomic decision, while resolving the affinities of Macropus fossils should allow more confident temporal and ecological inferences of the group’s diversification.

There are two clear a priori hypotheses for the placement of Macropus irma; the first, a close affinity with M. (Notamacropus), is based on morphology44 and five nuclear genes3. The alternative, which places Macropus irma with M. (Osphranter), based on mtDNA4 is the “blind” grouping for this retrotransposon study. Thus, the a priori evidence argument cannot be used to reduce the emphasis on the “blind” tree for Macropus irma affinities. However, support from retrotransposons alone is sufficiently strong to confidently group Macropus irma (with or without Wallabia) with the core members of M. (Notamacropus) and reject the “blind” tree ([8 0 X] Table 2iii). Combining the ILS symmetry, insertion ratio, and a priori evidence arguments has substantially overcome the limitations of a single reference genome being available, and lends confidence to placing Macropus irma and Wallabia as consecutive sister taxa to the core members of M. (Notamacropus).

The relationship among the three Macropus subgenera remains unclear. Three markers group together M. (Notamacropus)/Wallabia and M. (Osphranter) in agreement with numerous molecular studies, including early serological studies45, DNA hybridization45,46,47 and nuclear genes3. However, two conflicting markers were found that group M. (Macropus) and M. (Notmamacropus) together, to the exclusion of M. (Osphranter). One of these markers includes Wallabia bicolor (Fig. 2, C5) and the other does not (C4). This hemiplasy across short internal branches over successive divergences is consistent with speciation events early in Macropus occurring more rapidly than the rate of allele fixation. Greater resolution from additional markers will be required or indeed the basal Macropus trichotomy may be unresolvable, as has been suggested for the deep divergences within placental mammals48 and among avian orders49. An additional reference genome will allow assessment of the “blind” alternative among the three subgenera, specifically the grouping of M. (Macropus) with M. (Osphranter), which is generally favoured by morphology8 and mtDNA39.

Two shared retrotransposon markers (one phylogenetically unambiguous) provide the first molecular evidence for a close relationship between Onychogalea and the Macropus/Wallabia clade (Fig. 2). This grouping has often been weakly supported by morphology, particularly dental traits that appear to have evolved for grazing8,50. In contrast, recent molecular analyses3,39 tend to favour a deeper affinity for Onychogalea, outside the clade containing Lagorchestes and Macropus/Wallabia, though with very weak statistical support. Confirming the placement of Onychogalea with Macropus/Wallabia will require additional markers, the ability to rule out the “blind” Onychogalea/Lagorchestes relationship, and resolving the phylogenetic position of the quokka (Setonix).

With retrotransposon markers clarifying several phylogenetic placements, and addressing a need for more robust fossil calibrations50, our estimate for the crown origin of Macropus/Wallabia of 6.92 (5.65–8.91) Ma is slightly younger and more precise than most earlier estimates3,4. Deeper in the tree, the crown origins of both major macropod families, Macropodidae and Potoroidae coincide with the mid-Miocene climatic optimum, about 15–16 Ma (Fig. 5) when rainforest was more widespread across Australia compared to the Late Miocene, onwards51,52. Our habitat reconstruction places the ancestors of both potoroids and macropodids in open canopy forest, potentially advantaging both groups of taxa as open forests expanded later in the Miocene. Open forests already existed during the Oligocene53, when the initial transition from rainforest to open-canopy forests is likely to have occurred among macropods (Fig. 5).

Transitions or expansions from open canopy forest habitats to more open and widespread grasslands are inferred to have occurred independently in the lineages leading to Onychogalea, M. (Macropus), M. (Osphranter), Lagorchestes hirsutus, and within Petrogale. Each of these transitions falls on branches that temporally match the development of Australia’s grasslands, which became widespread by the Late Pliocene10,11 (3.6–2.6 Ma). These inferences are also consistent with forest-dwelling being retained earlier, in the oldest known (~5–4.5 Ma)54,55 putative members of both Macropus and their close relative, Protemnodon42.

The composition of transposable elements in the genome can vary dramatically between taxonomic groups56. Our transposable element screen of Macropus and Wallabia revealed little or no LINE1 activity over the last 10 million years. Instead only ERV markers were found, which are generally widespread in kangaroo and other mammalian genomes57,58. Our phylogenetic analysis of the ERV solo LTRs found in the Macropus eugenii genome shows a clustering of different clades, with the majority of young LTRs occurring within a single clade with some heterozygous markers, characteristic of recent insertion events that have not reached fixation (Supplementary Figure S2). The phylogenetic screen coupled with the LINE1 ORF2 screen suggests that LINE1 either has very low retrotranspositional activity, or may have become entirely inactivated in the kangaroo genome. Cases for LINE extinction among mammals have been proposed for megabats59, sigmodontine rodents60,61,62, Tasmanian devil (Sarcophilus harrisii)21, thirteen-lined squirrel (Ictidomys tridecemlineatus)63, and the spider monkey (Ateles paniscus)64. It is possible that ERV activity in the kangaroo genome may have increased due to the absence of competition from LINE1 activity, and indeed parallels have been observed in sigmodontine rodents65. Further screening of high quality genome assemblies will make it possible to explore the evolutionary interplay between LINE1 and ERVs in the kangaroo genome.

Conclusions

In this study, we provide a statistical framework for accommodating the retrotransposon ascertainment bias that arises when only a single reference genome is utilized. This has implications for significance testing in studies performing retrotransposon-based phylogenetic reconstruction. For the first time, we are able to identify clades that are strongly supported and robust to the single genome ascertainment bias and we identify other clades that need to be tested with additional genome data. Retrotransposon support, for both previous and future single reference genome retrotransposon studies, should be assessed in a similar fashion to verify their conclusions. In addition, we have demonstrated experimentally that LINE1 silencing likely occurred in macropods. ERV markers provide highly significant phylogenetic support among kangaroos and wallabies, including for grouping the swamp wallaby, Wallabia bicolor, with the open forest wallabies of M. (Notamacropus). Deeper in the tree there was little phylogenetic conflict among markers, which most notably favour Onychogalea as closely related to Macropus/Wallabia. Ancestral habitat reconstruction reveals multiple independent ecological shifts among kangaroos into more open habitats, coinciding with the aridification of Australia over the past ~3.6 million years.

Additional Information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  1. 1.

    Nowak, R. M. Walker’s Mammals of the World. Vol. 1 (JHU Press, 1999).

  2. 2.

    Dawson, T. J. Kangaroos. (CSIRO PUBLISHING, 2012).

  3. 3.

    Meredith, R. W., Westerman, M. & Springer, M. S. A phylogeny and timescale for the living genera of kangaroos and kin (Macropodiformes: Marsupialia) based on nuclear DNA sequences. Aust J Zool 56, 395–410, https://doi.org/10.1071/Zo08044 (2008).

  4. 4.

    Phillips, M. J., Haouchar, D., Pratt, R. C., Gibb, G. C. & Bunce, M. Inferring Kangaroo Phylogeny from Incongruent Nuclear and Mitochondrial Genes. Plos One 8, https://doi.org/10.1371/journal.pone.0057745 (2013).

  5. 5.

    Butler, K., Travouillon, K. J., Price, G. J., Archer, M. & Hand, S. J. Cookeroo, a new genus of fossil kangaroo (Marsupialia, Macropodidae) from the Oligo-Miocene of Riversleigh, northwestern Queensland, Australia. Journal of Vertebrate Paleontology, e1083029 (2016).

  6. 6.

    Burk, A. & Springer, M. Intergeneric Relationships Among Macropodoidea (Metatheria: Diprotodontia) and The Chronicle of Kangaroo Evolution. Journal of Mammalian Evolution 7, 213–237, https://doi.org/10.1023/A:1009488431055 (2000).

  7. 7.

    Flannery, T. Phylogeny of the Macropodoidea; a study in convergence. Kangaroos, wallabies and rat-kangaroos 1, 1–46 (1989).

  8. 8.

    Prideaux, G. J. & Warburton, N. M. An osteology-based appraisal of the phylogeny and evolution of kangaroos and wallabies (Macropodidae: Marsupialia). Zoological Journal of the Linnean Society 159, 954–987, https://doi.org/10.1111/j.1096-3642.2009.00607.x (2010).

  9. 9.

    Westerman, M. et al. Molecular evidence for the last survivor of an ancient kangaroo lineage. Journal of Mammalian Evolution 9, 209–223 (2002).

  10. 10.

    Martin, H. Cenozoic climatic change and the development of the arid vegetation in Australia. Journal of Arid Environments 66, 533–563 (2006).

  11. 11.

    Black, K. H., Archer, M., Hand, S. J. & Godthelp, H. In Earth and life 983–1078 (Springer, 2012).

  12. 12.

    Sanson, G. Morphological adaptations of teeth to diets and feeding in the Macropodoidea. Kangaroos, wallabies and rat-kangaroos 1, 151–168 (1989).

  13. 13.

    Ray, D. A., Xing, J., Salem, A.-H. & Batzer, M. A. SINEs of a nearly perfect character. Systematic biology 55, 928–935 (2006).

  14. 14.

    Shimamura, M. et al. Molecular evidence from retroposons that whales form a clade within even-toed ungulates. Nature 388, 666–670 (1997).

  15. 15.

    Nilsson, M. A. et al. Tracking marsupial evolution using archaic genomic retroposon insertions. Plos Biol 8, e1000436 (2010).

  16. 16.

    Waddell, P. J., Kishino, H. & Ota, R. A phylogenetic foundation for comparative mammalian genomics. Genome Informatics 12, 141–154 (2001).

  17. 17.

    Nikaido, M., Piskurek, O. & Okada, N. Toothed whale monophyly reassessed by SINE insertion analysis: the absence of lineage sorting effects suggests a small population of a common ancestral species. Molecular phylogenetics and evolution 43, 216–224 (2007).

  18. 18.

    Kuritzin, A., Kischka, T., Schmitz, J. & Churakov, G. Incomplete Lineage Sorting and Hybridization Statistics for Large-Scale Retroposon Insertion Data. PLOS Comput Biol 12, e1004812 (2016).

  19. 19.

    Meyer, T. J. et al. An Alu-based phylogeny of gibbons (Hylobatidae). Molecular biology and evolution 29, 3441–3450 (2012).

  20. 20.

    Zemann, A. et al. Ancestry of the Australian termitivorous numbat. Molecular biology and evolution, mst032 (2013).

  21. 21.

    Gallus, S. et al. Evolutionary histories of transposable elements in the genome of the largest living marsupial carnivore, the Tasmanian devil. Molecular biology and evolution 32, 1268–1283 (2015).

  22. 22.

    Mikkelsen, T. S. et al. Genome of the marsupial Monodelphis domestica reveals innovation in non-coding sequences. Nature 447, 167–177 (2007).

  23. 23.

    Renfree, M. B. et al. Genome sequence of an Australian kangaroo, Macropus eugenii, provides insight into the evolution of mammalian reproduction and development. Genome biology 12, R81 (2011).

  24. 24.

    Murchison, E. P. et al. Genome sequencing and analysis of the Tasmanian devil and its transmissible cancer. Cell 148, 780–791 (2012).

  25. 25.

    Johnson, R. N. et al. The koala genome corsortium. Technical Reports of the Australian Museum 24, 91–92 (2014).

  26. 26.

    Robinson, T. J., Ruiz-Herrera, A. & Avise, J. C. Hemiplasy and homoplasy in the karyotypic phylogenies of mammals. Proceedings of the National Academy of Sciences 105, 14477–14481 (2008).

  27. 27.

    Ferreri, G. C. et al. Recent amplification of the kangaroo endogenous retrovirus, KERV, limited to the centromere. Journal of virology 85, 4761–4771 (2011).

  28. 28.

    Smit, A., Hubley, R. & Green, P. http://www.repeatmasker.org RepeatMasker Open 3, 1996–2004 (1996).

  29. 29.

    Kohany, O., Gentles, A. J., Hankus, L. & Jurka, J. Annotation, submission and screening of repetitive elements in Repbase: RepbaseSubmitter and Censor. BMC bioinformatics 7, 474 (2006).

  30. 30.

    Sambrook, J. & Russell, D. W. Molecular cloning: a laboratory manual. Vol. 3. (Cold spring harbor laboratory press, 1989).

  31. 31.

    Rambaut, A. (Oxford, UK: University of Oxford, http://tree.bio.ed.ac.uk/software/seal 2002).

  32. 32.

    Green, R. E. et al. A draft sequence of the Neandertal genome. science 328, 710–722 (2010).

  33. 33.

    Durand, E. Y., Patterson, N., Reich, D. & Slatkin, M. Testing for ancient admixture between closely related populations. Molecular biology and evolution 28, 2239–2252 (2011).

  34. 34.

    Scally, A. et al. Insights into hominid evolution from the gorilla genome sequence. Nature 483, 169–175 (2012).

  35. 35.

    Doronina, L. et al. Exploring massive incomplete lineage sorting in arctoids (Laurasiatheria, Carnivora). Molecular biology and evolution, msv188 (2015).

  36. 36.

    Neaves, L., Zenger, K., Cooper, D. & Eldridge, M. Molecular detection of hybridization between sympatric kangaroo species in south-eastern Australia. Heredity 104, 502–512 (2010).

  37. 37.

    Ronquist, F. & Huelsenbeck, J. P. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19, 1572–1574 (2003).

  38. 38.

    Doronina, L. et al. Speciation network in Laurasiatheria: retrophylogenomic signals. Genome Res 27, 997–1003 (2017).

  39. 39.

    Mitchell, K. J. et al. Molecular phylogeny, biogeography, and habitat preference evolution of marsupials. Molecular biology and evolution, msu176 (2014).

  40. 40.

    van de Lagemaat, L. N., Gagnier, L., Medstrand, P. & Mager, D. L. Genomic deletions and precise removal of transposable elements mediated by short identical DNA segments in primates. Genome Res 15, 1243–1249, https://doi.org/10.1101/Gr.3910705 (2005).

  41. 41.

    Jackson, S. & Groves, C. Taxonomy of Australian mammals. (CSIRO PUBLISHING, 2015).

  42. 42.

    Van Gelder, R. G. Mammalian hybrids and generic limits. American Museum novitates; no. 2635 (1977).

  43. 43.

    Close, R. & Lowry, P. Hybrids in marsupial research. Aust J Zool 37, 259–267 (1990).

  44. 44.

    Dawson, L. & Flannery, T. Taxonomic and phylogenetic status of living and fossil kangaroos and wallabies of the genus Macropus Shaw (Macropodidae: Marsupialia), with a new subgeneric name for the larger wallabies. Aust J Zool 33, 473–498 (1985).

  45. 45.

    Kirsch, J. A. The comparative serology of Marsupialia, and a classification of marsupials. Aust J Zool 25, 1–152 (1977).

  46. 46.

    Kirsch, J. A., LAPOINTE, F. J. & Foeste, A. Resolution of portions of the kangaroo phylogeny (Marsupialia: Macropodidae) using DNA hybridization. Biological Journal of the Linnean Society 55, 309–328 (1995).

  47. 47.

    Kirsch, J. A., Springer, M. S. & Lapointe, F.-J. DNA-hybridisation studies of marsupials and their implications for metatherian classification. Aust J Zool 45, 211–280 (1997).

  48. 48.

    Nishihara, H., Maruyama, S. & Okada, N. Retroposon analysis and recent geological data suggest near-simultaneous divergence of the three superorders of mammals. Proceedings of the National Academy of Sciences 106, 5235–5240 (2009).

  49. 49.

    Suh, A., Smeds, L. & Ellegren, H. The dynamics of incomplete lineage sorting across the ancient adaptive radiation of neoavian birds. Plos Biol 13, e1002224 (2015).

  50. 50.

    Flannery, T. & Hann, L. A new macropodine genus and species (Marsupialia: Macropodidae) from the early Pleistocene of southwestern Victoria. Australian Mammalogy 7, 193–204 (1984).

  51. 51.

    Hill, R. S. Origins of the southeastern Australian vegetation. Philosophical Transactions of the Royal Society of London B: Biological Sciences 359, 1537–1549 (2004).

  52. 52.

    Travouillon, K., Legendre, S., Archer, M. & Hand, S. Palaeoecological analyses of Riversleigh’s Oligo-Miocene sites: implications for Oligo-Miocene climate change in Australia. Palaeogeography, Palaeoclimatology, Palaeoecology 276, 24–37 (2009).

  53. 53.

    Byrne, M. et al. Decline of a biome: evolution, contraction, fragmentation, extinction and invasion of the Australian mesic zone biota. Journal of Biogeography 38, 1635–1656 (2011).

  54. 54.

    Pledge, N. S. The Curramulka local fauna: a new late Tertiary fossil assemblage from Yorke Peninsula, South Australia. Beagle: Records of the Museums and Art Galleries of the Northern Territory, The 9, 115 (1992).

  55. 55.

    Flannery, T. F., Rich, T., Turnbull, W. & Lundelius, E. Jr. The Macropodoidea (Marsupialia) of the early Pliocene Hamilton Local Fauna, Victoria, Australia. (Field Museum of Natural History, 1992).

  56. 56.

    Chalopin, D., Naville, M., Plard, F., Galiana, D. & Volff, J.-N. Comparative analysis of transposable elements highlights mobilome diversity and evolution in vertebrates. Genome biology and evolution 7, 567–580 (2015).

  57. 57.

    O’Neill, R. J. W., O’Neill, M. J. & Graves, J. A. M. Undermethylation associated with retroelement activation and chromosome remodelling in an interspecific mammalian hybrid. Nature 393, 68–72 (1998).

  58. 58.

    Zhuo, X. & Feschotte, C. Cross-species transmission and differential fate of an endogenous retrovirus in three mammal lineages. PLoS Pathog 11, e1005279 (2015).

  59. 59.

    Cantrell, M. A., Scott, L., Brown, C. J., Martinez, A. R. & Wichman, H. A. Loss of LINE-1 activity in the megabats. Genetics 178, 393–404 (2008).

  60. 60.

    Casavant, N. C. et al. The end of the LINE?: lack of recent L1 activity in a group of South American rodents. Genetics 154, 1809–1817 (2000).

  61. 61.

    Grahn, R., Rinehart, T., Cantrell, M. & Wichman, H. Extinction of LINE-1 activity coincident with a major mammalian radiation in rodents. Cytogenetic and genome research 110, 407–415 (2005).

  62. 62.

    Rinehart, T., Grahn, R. & Wichman, H. SINE extinction preceded LINE extinction in sigmodontine rodents: implications for retrotranspositional dynamics and mechanisms. Cytogenetic and genome research 110, 416–425 (2005).

  63. 63.

    Platt II, R. N. & Ray, D. A. A non-LTR retroelement extinction in Spermophilus tridecemlineatus. Gene 500, 47–53 (2012).

  64. 64.

    Boissinot, S., Roos, C. & Furano, A. V. Different rates of LINE-1 (L1) retrotransposon amplification and evolution in New World monkeys. Journal of molecular evolution 58, 122–130 (2004).

  65. 65.

    Erickson, I. K., Cantrell, M. A., Scott, L. & Wichman, H. A. Retrofitting the genome: L1 extinction follows endogenous retroviral expansion in a group of muroid rodents. Journal of virology 85, 12315–12323 (2011).

Download references

Acknowledgements

The publication of this article was funded by the Open Access Fund of the Leibniz Association. We are grateful to Michael Bunce at Curtain University for providing black gloved wallaby, agile wallaby and nail-tail wallaby samples, and to Lyn Hinds at CSIRO for providing tammar wallaby samples. Kangaroo images (Fig. 2) were illustrated by Jon Baldur.

Author information

Affiliations

  1. School of Earth, Environmental and Biological Sciences, Queensland University of Technology (QUT), 2 George Street, Brisbane, Australia

    • William G. Dodt
    •  & Matthew J. Phillips
  2. Senckenberg Biodiversity and Climate Research Centre (BiK-F) Frankfurt, Senckenberg Gesellschaft fuer Naturforschung, Senckenberganlage 25, Frankfurt am Main, Germany

    • Susanne Gallus
    •  & Maria A. Nilsson

Authors

  1. Search for William G. Dodt in:

  2. Search for Susanne Gallus in:

  3. Search for Matthew J. Phillips in:

  4. Search for Maria A. Nilsson in:

Contributions

Study conception and design: M.N., M.P. Acquisition of data: W.D., S.G., M.N. Analysis and interpretation of data: W.D., M.N., M.P., S.G. Statistical methodology: M.P. Drafting of manuscript: W.D., M.P., M.N. Critical revision: W.D., M.N., M.P., S.G. All authors have reviewed the manuscript.

Competing Interests

The authors declare that they have no competing interests.

Corresponding authors

Correspondence to William G. Dodt or Matthew J. Phillips or Maria A. Nilsson.

Electronic supplementary material

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Creative Commons BY

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.