Literature DB >> 35388060

Mitogenome of the extinct Desert 'rat-kangaroo' times the adaptation to aridity in macropodoids.

Michael Westerman1, Stella Loke2, Mun Hua Tan3, Benjamin P Kear4.   

Abstract

The evolution of Australia's distinctive marsupial fauna has long been linked to the onset of continent-wide aridity. However, how this profound climate change event affected the diversification of extant lineages is still hotly debated. Here, we assemble a DNA sequence dataset of Macropodoidea-the clade comprising kangaroos and their relatives-that incorporates a complete mitogenome for the Desert 'rat-kangaroo', Caloprymnus campestris. This enigmatic species went extinct nearly 90 years ago and is known from a handful of museum specimens. Caloprymnus is significant because it was the only macropodoid restricted to extreme desert environments, and therefore calibrates the group's specialisation for increasingly arid conditions. Our robustly supported phylogenies nest Caloprymnus amongst the bettongs Aepyprymnus and Bettongia. Dated ancestral range estimations further reveal that the Caloprymnus-Bettongia lineage originated in nascent xeric settings during the middle to late Miocene, ~ 12 million years ago (Ma), but subsequently radiated into fragmenting mesic habitats after the Pliocene to mid-Pleistocene. This timeframe parallels the ancestral divergences of kangaroos in woodlands and forests, but predates their adaptive dispersal into proliferating dry shrublands and grasslands from the late Miocene to mid-Pleistocene, after ~ 7 Ma. We thus demonstrate that protracted changes in both climate and vegetation likely staged the emergence of modern arid zone macropodoids.
© 2022. The Author(s).

Entities:  

Mesh:

Year:  2022        PMID: 35388060      PMCID: PMC8987032          DOI: 10.1038/s41598-022-09568-0

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Arid zone marsupials are icons of Australia and have an inferred evolutionary history that extends back over some ~ 15 Ma[1]. Nevertheless, the precise divergence timings of the major extant clades are ambiguous, as are the possible drivers behind their adaptive radiations[2-13]. Macropodoids (Macropodiformes: Macropodoidea)—the group encompassing living kangaroos, wallaroos, wallabies, pademelons and tree-kangaroos (Macropodidae), bettongs and potoroos (Potoroidae), the Musky rat-kangaroo (Hypsiprymnodon moschatus: Hypsyprymnodontidae), and their stem antecedents[14]—incorporate some of the most distinctive Australian arid zone marsupials, as epitomised by the famous Red kangaroo, Osphranter rufus[15]. The well-documented fossil record of this and other ‘true kangaroos’ (Macropodini) has been used to correlate arid zone macropodoid evolution with the expansion of intracontinental grasslands during the Pliocene and Pleistocene, from ~ 3–4 Ma[3,9,12]. By contrast, the contemporary diversification of xeric-adapted bettongs is often overlooked, but has considerable significance because it includes the only example of an exclusively desert-inhabiting macropodoid, the Desert ‘rat-kangaroo’, which is alternatively referred to as the “Oolacunta”[16] or Ngudlukanta[17], Caloprymnus campestris (Fig. 1A).
Figure 1

(A) Painting of Caloprymnus campestris as illustrated by Gould[81] (image in public domain). (B) Estimated historical distribution of C. campestris (grey shaded area) and localities from which specimens were collected: (1) Koonchera; (2) Ooroowillanie; (3) Mulka; (4) Killalpaninna (based on data from Google Maps and OZCAM Online Zoological Collections of Australian Museums: https://ozcam.org.au/). (C) Sturt Stony Desert gibber plain habitat of C. campestris showing a ‘jump-up’ escarpment and ephemeral drainage channel lined by riparian vegetation in the distance (photograph reproduced with permission from Michael Letnic, University of New South Wales). (D) Preserved skin of Caloprymnus campestris (Australian Museum, Sydney [AM] M21674) from Killalpaninna in northeastern South Australia[22] (photograph reproduced with permission from Mark Eldridge, AM).

(A) Painting of Caloprymnus campestris as illustrated by Gould[81] (image in public domain). (B) Estimated historical distribution of C. campestris (grey shaded area) and localities from which specimens were collected: (1) Koonchera; (2) Ooroowillanie; (3) Mulka; (4) Killalpaninna (based on data from Google Maps and OZCAM Online Zoological Collections of Australian Museums: https://ozcam.org.au/). (C) Sturt Stony Desert gibber plain habitat of C. campestris showing a ‘jump-up’ escarpment and ephemeral drainage channel lined by riparian vegetation in the distance (photograph reproduced with permission from Michael Letnic, University of New South Wales). (D) Preserved skin of Caloprymnus campestris (Australian Museum, Sydney [AM] M21674) from Killalpaninna in northeastern South Australia[22] (photograph reproduced with permission from Mark Eldridge, AM). The first scientific specimens of C. campestris were collected from northeastern South Australia (Fig. 1B) in 1842, with three preserved examples subsequently shipped to London for study[18]. These were dubbed ‘Bettongia’ campestris by Gould[19], although Thomas[20] later recognised ‘B.’ campestris as morphologically distinct from Bettongia, and thus established a separate genus, Caloprymnus. No further sightings of C. campestris were reported after this initial description, and the species was assumed to be extinct for some 90 years until Finlayson[16,21] announced the “Rediscovery of Caloprymnus campestris” in 1931–1932, from the remote Kooncheera Dune[17] region in the Sturt Stony Desert of far northeastern South Australia (Fig. 1C). Since then, only a skin recovered sometime between 1902 and 1905 (Fig. 1D) has been reidentified[22], and various unsubstantiated live sightings made[17,23,24], with the most recent in 2011[24] and 2013[17] prompting unsuccessful surveys for the species in 2018 and 2019[17]. Caloprymnus campestris has otherwise been classified as Extinct by the IUCN (https://www.iucnredlist.org/) since 1994, with the probable cause being over-predation by feral dogs, cats and foxes[25]. At latest count, only 25 specimens of C. campestris are catalogued in museums worldwide[22]. This dearth of research material has led to uncertainty about potoroid interrelationships[26], as well as the concomitant chronicle of their arid zone evolution. Here, we therefore analyse the first complete mitochondrial (mt) genome of C. campestris, which augments the 12S rRNA (AY245615) and partial cytochrome b (AY237246) gene sequences[27] already available from GenBank (https://www.ncbi.nlm.nih.gov/genbank/). Our novel dataset is used to construct a comprehensive phylogeny of crown potoroid species and subspecies within Macropodoidea. We also apply molecular clock calibrated ancestral range estimations to infer both the timing and context of macropodoid habitat change over the last ~ 25 Ma.

Materials and methods

Samples and sequencing

We obtained non-formalin-fixed liver samples from a male Caloprymnus campestris (Museums Victoria, Melbourne, Australia [NMV] C8981) that was collected in 1834 from Mulka cattle station in northeastern South Australia (Fig. 1B). Our DNA extraction, PCR amplifications, sequencing and alignment procedures followed Westerman et al.[27,28]. Whole genome libraries were prepared with the Nextera DNA flex library kit (Illumina, CA), incorporating 50 ng of input DNA per sample. Sequencing was performed on the Illumina MiSeq platform using 2 × 300 bp V3 chemistry to generate 4,445,476 read pairs and 1.55 Gb total sequence data. Raw reads were trimmed for adapters and quality using Trimmomatic 0.36[29] (sliding window = 4:15; leading = 3; trailing = 3), and then assembled via genome skimming with IDBA-UD 1.1.1[30] (mink = 20; maxk = 300; min_contig = 500); this yielded an average depth-of-coverage of 76.7x (median = 70x; minimum = 14x; maximum = 311x) and insert length of 109.9 bp. The resulting C. campestris mitogenome (A = 34%; C = 24.1%; G = 12.1%; T = 29.8%) was annotated using the MITOS webserver[31] with start-stop positions for protein coding genes manually curated using blastp homologies extracted from the NCBI non-redundant (nr) database.

Phylogenetic and molecular clock analyses

Phylogenetic relationships within Macropodoidea were examined using a mitogenome dataset including representatives of all potoroid species, together with Hypsiprymnodon moschatus and multiple species-level exemplars for selected macropodid genera (see Supplementary Table S1). The Northern common cuscus, Phalanger orientalis (Phalangeridae), and Western pygmy possum, Cercartetus concinnus (Burramyidae), were added as non-macropodoid outgroups. To accommodate for recognised gene incongruence[32], we then compared these results with analyses of nuclear (n), and combined mitogenome/mtDNA/nDNA sequence datasets derived from GenBank, which integrated an expanded taxon sample of all potoroid species and subspecies (see Supplementary Tables S1 and S2). The mitogenomes were treated as a single partition, or alternatively sub-partitioned into 12S/16S rRNA stems and loops, pooled 1st, 2nd and 3rd protein codon positions, and 3rd codon positions with RY coding to allow for heterogeneity and saturation. A General Time Reversible gene partition model, gamma distribution and variable site proportions were determined using jModelTest[33] (Supplementary Table S3). Tree building employed Maximum likelihood and Bayesian methods implemented in RAxML 7.2.8[34], MrBayes 3.2.7[35] and BEAST 2.2.1[36] with node support calculations based on 1000 bootstrap pseudoreplicates (%) and Bayesian Posterior Probabilities (BPP), respectively. Maximum likelihood used a GTR + I + Γ partition model, while non-dated Bayesian MCMC analyses were run for 6 × 106 generations with a sample frequency of 1000, eight chains, default temperature of 0.2, and burn-in fixed at 6 × 104. Time-trees were constructed in BEAST 2.2.1[36] with relaxed clocks and the minimum–maximum node age constraints listed in the Supplementary Information. Up to 95% of the normal prior distributions were assigned to the interval between minimum and maximum, with 2.5% to each tail. Gamma priors (shape = 1; scale = 1) were assigned to the “ucld.mean” parameter for each partition. MCMC analyses were run for 65 × 106 generations with a burn-in of 10 × 106 generations and sampling every 10 × 103 generations. ESS values were > 200 for all estimated parameters. TreeAnnotator 2.2.1 (https://www.beast2.org/treeannotator/) was used to summarise the tree sample with mean node heights.

Ancestral area analyses

Distributional areas were optimised onto the time-calibrated BEAST consensus tree and analysed using the R package BioGeoBEARS[37] to compare alternative biogeographical range models, and a Bayesian Binary MCMC (BBM) approach[38,39] to reconstruct ancestral ranges in RASP 4[40]. Area codes (Supplementary Table S4) followed standard units[6] but were refined to represent a generalised vegetation map[41]: A = humid forest (rainforest and/or ‘wet’ sclerophyll dominant) prevalent throughout eastern coastal Australia, western Tasmania and New Guinea; B = woodland (‘dry’ sclerophyll dominant) prevalent throughout northern, eastern and southwestern inland Australia and northeastern Tasmania; C = shrubland (Acacia and chenopodiaceous shrubland dominant) prevalent throughout central and central-western Australia; and D = grassland-desert (arid grasslands and/or desert dominant) prevalent in central and central-northwestern Australia. The maximum number of ancestral areas was restricted to three because this equalled the maximum number of areas occupied by our terminal taxa at any given node. BioGeoBEARS comparisons proceeded with likelihood ratio testing of ‘Jumping dispersal events (+ J)’, which have been considered inappropriate for dispersal-extinction-cladogenesis (DEC) models[42]. However, the three parameter Bayesian inference of historical biogeography for discrete areas (BAYAREALIKE) + J model (P = 0.0006) received overwhelmingly highest support (AICc = 199.6; AICc_wt = 0.98) for conferring best statistical likelihood on our data (Supplementary Table S5). Finally, we accommodated for connectivity by designating a dispersal multiplier of ‘1’ for adjacent areas (A-B-C)[41] versus non-adjacent areas (A-D)[41], which were assigned a value of ‘0.5’. Our BBM analyses utilised 10 MCMC chains with default temperature 0.1, and run over 5 × 106 generations with sampling frequency and burn-in fixed at 1000. Model settings included ‘Gamma(+ G)’ for among-site rate variation, and ‘Fixed (JC)’ for state frequencies.

Results and discussion

The Caloprymnus campestris mitogenome (16,866 bp) is ordered with 13 protein-coding genes, two ribosomal (r)RNA genes, 21 transfer (t)RNAs, and a non-coding AT-rich control region, which follows the typical configuration for marsupials[43,44]. The tRNAs are arranged around the origin of the L strand (A-C-W-OL-N-Y) and intersected between the NADH2 and COX1 genes. Substitution of the anticodon GCC for tRNAASP (trnD) is also consistent with RNA-editing[45]. Maximum likelihood and Bayesian analyses of our mitogenome dataset produce unanimous resolution of Macropodoidea with Potoroidae as the sister to Macropodidae (Supplementary Figures S1–S6). This pivotal higher-level grouping accords with other crown macropodoid phylogenies[12,46-49], and warrants a new taxonomic definition[50], which we coin as Macropodia, new clade, herein (Table 1; Supplementary Information). Bootstrap and BPP support is > 90% for almost all constituent nodes except those uniting: (1) the extinct short-faced kangaroo, Simosthenurus occidentalis, with the Banded hare-wallaby, Lagostrophus fasciatus, as basally branching macropodids (partitioned/non-partitioned bootstrap = 58/63%; MrBayes partitioned/non-partitioned BPP = 0.54/0.56; BEAST partitioned/non-partitioned BPP = 1/1); (2) the Quokka, Setonix brachyurus, with other macropodines (bootstrap = 48/60%; MrBayes BPP = 1/1; BEAST BPP = 0.63/0.72); (3) grey kangaroos in the genus Macropus with Osphranter rufus and brush wallabies representing the genus Notamacropus (bootstrap = 80/64%; MrBayes BPP = 0.99/1; BEAST BPP = 0.99/0.96); and (4) O. rufus with Notamacropus (bootstrap = 58/55%; MrBayes BPP = 0.81/1; BEAST BPP = 0.72/0.76). As found by previous studies[5,12,27,46-51], Potoroinae comprises potoroos within the genus Potorous and is distinguished from its sister clade, which we designate Bettonginae[52] to include the Rufous bettong, Aepyprymnus rufescens, as the basally branching sister to C. campestris and the species of Bettongia (Table 1). Alternative monophyly of C. campestris with either A. rufescens[53,54], or the species of Potorous[27,50] were tested using topological constraints in PAUP* 4.0b10[55] (Supplementary Table S6), but decisively rejected (P < 0.0001***). Taxonomically, therefore, we conclude that the original classification of Gould’s Desert ‘bettong’[19] as generically consistent with Bettongia is feasible, but defer any formal nomenclatural amendment pending a detailed morphological re-evaluation.
Table 1

Phylogenetic definitions for Macropodiformes, including Macropodia, new clade, and other selected constituent subclades.

CladeDefinitionType
MacropodiformesMost inclusive clade including Balbaroo nalima*, Hypsiprymnodon moschatus, Potorous tridactylus and Macropus giganteus, but excluding Cercartetus concinnus and Phalanger orientalisStem
Balbaridae*Most inclusive clade including Balbaroo nalima*, but excluding Hypsiprymnodon moschatus, Potorous tridactylus and Macropus giganteusStem
MacropodoideaLeast inclusive clade including Hypsiprymnodon moschatus, Potorous tridactylus and Macropus giganteusCrown
HypsiprymnodontidaeMost inclusive clade including Hypsiprymnodon moschatus and Propleopus oscillans*, but excluding Balbaroo nalima*, Potorous tridactylus and Macropus giganteusStem
HypsiprymnodontinaeMost inclusive clade including Hypsiprymnodon moschatus, but excluding Propleopus oscillans*Stem
Propleopinae*Most inclusive clade including Propleopus oscillans*, but excluding Hypsiprymnodon moschatusStem
Macropodia, new cladeLeast inclusive clade including Potorous tridactylus and Macropus giganteus, but excluding Hypsiprymnodon moschatusCrown
PotoroidaeLeast inclusive clade including Potorous tridactylus and Aepyprymnus rufescens, but excluding Hypsiprymnodon moschatus and Macropus giganteusCrown
PotorinaeLeast inclusive clade including Potorous tridactylus, but excluding Aepyprymnus rufescensCrown
BettonginaeLeast inclusive clade including Aepyprymnus rufescens, but excluding Potorous tridactylusCrown
MacropodidaeMost inclusive clade including Simosthenurus occidentalis*, Lagostrophus fasciatus and Macropus giganteus, but excluding Potorous tridactylus and Hypsiprymnodon moschatusStem
Sthenurinae*Most inclusive clade including Simosthenurus occidentalis*, but excluding Lagostrophus fasciatus and Macropus giganteusStem
LagostrophinaeMost inclusive clade including Lagostrophus fasciatus, but excluding Simosthenurus occidentalis* and Macropus giganteusStem
MacropodinaeMost inclusive clade including Macropus giganteus, but excluding Simosthenurus occidentalis* and Lagostrophus fasciatusStem
DorcopsiniLeast inclusive clade including Dorcopsis hageni, but excluding Dendrolagus lumholtzi and Macropus giganteusCrown
DendrolaginiLeast inclusive clade including Dendrolagus lumholtzi, but excluding Dorcopsis hageni and Macropus giganteusCrown
MacropodiniLeast inclusive clade including Macropus giganteus, but excluding Dorcopsis hageni and Dendrolagus lumholtziCrown

Conceptual explanations and phylogenetic definition registration details are provided in the Supplementary Information.

*Extinct.

Phylogenetic definitions for Macropodiformes, including Macropodia, new clade, and other selected constituent subclades. Conceptual explanations and phylogenetic definition registration details are provided in the Supplementary Information. *Extinct. Our maximum likelihood, Bayesian and time-tree analyses of the nDNA (Supplementary Figures S7–S9) and combined mitogenome/mtDNA/nDNA datasets (Fig. 2; Supplementary Figures S10–S12) yield broadly compatible topologies, with the basal divergence of potoroids and macropodids, and subsequent split between potoroines and bettongines both occurring from the latest Oligocene to earliest-middle Miocene (Table 2; Supplementary Table S7). Notably, this concurs with divergence times derived using different dating methods and constraints[12,46-50,56]. Furthermore, while our BioGeoBEARS and BBM ancestral range estimations correlate the latest Eocene (or mid-Eocene using nDNA: Supplementary Table S7) to late Oligocene emergence of crown macropodoids with predominantly humid forest habitats (> 50% probability values from BAYAREALIKE + J [A] = 65.76%; BBM [A] = 61.31%: Supplementary Tables S8 S8 and S9), the initial radiation of potoroids (BAYAREALIKE + J [B/A] = 45.42/25.55%; BBM [B/AB] = 42.62/28.9%), together with the macropodid subclades Sthenurinae (BAYAREALIKE + J [B] = 82.31%; BBM [B] = 66.1%) and Lagostrophinae + Macropodinae (BAYAREALIKE + J [B] = 70.45%; BBM [B/BC] = 41.79/27.29%) are coordinated with earlier Miocene dispersals into woodland dominated mosaics (Fig. 2; Supplementary Tables S8–S11; Supplementary Figures S13 and S14). These potentially included ‘mallee-like’[57] sclerophyll communities, which propagated throughout central Australia from the early to middle Miocene[41].
Figure 2

Time calibrated phylogeny of crown Macropodoidea (filled black diamond) showing divergence of Caloprymnus campestris (bold type) within Bettonginae (black open circle), and correlated against a schematic of changing palaeohabitats across the late Oligocene–Holocene interval (modified from Kear et al.[6] and Den Boer et al.[82]). Topology is based on the partitioned mitogenome/mtDNA/nDNA dataset. Bayesian posterior probability (< 1.0) and bootstrap (< 100%) support values (regular type) derived using BEAST 2.2.1[36]/MrBayes 3.2.7[35]/RAxML 7.2.8[34] are indicated at relevant nodes. Branch colours denote major clades: Hypsiprymnodontidae (purple); Macropodia, new clade (burgundy); Potoroidae (pink); Potoroinae (orange); Bettonginae (ochre); Macropodidae (red); Sthenurinae (green); Lagostrophinae (yellow); Macropodinae (light blue); Dorcopsini (grey) Dendrolagini (brown); Macropodini (dark blue). *Extinct taxa. See Table 2 for node number references (bold type) and the Supplementary Information for other analyses. Graphics produced with Adobe CC2021 by B.P.K.

Table 2

Estimated divergence times (Ma) with confidence intervals for crown macropodoid clades based on the partitioned mitogenome/mtDNA/nDNA dataset.

NodeDivergenceTime estimate
1Hypsiprymnodontidae v. Macropodia30.49 (24.75–36.58)
2Macropodidae v. Potoroidae21.91 (18.15–25.66)
3Potorinae v. Bettonginae18.68 (15.36–22.01)
4Potorous longipes v. other Potorous12.71 (10.36–15.23)
5Potorous platyops* v. other Potorous9.62 (7.57–11.92)
6Potorous gilbertii v. other Potorous8.98 (7.11–11.11)
7Potorous tridactylus tridactylus v. other Potorous tridactylus subsp.7.12 (5.46–8.95)
8Potorous tridactylus apicalis v. Potorous tridactylus trisulcatus2.2 (1.57–2.97)
9Aepyprymnus rufescens v. other Bettonginae14.62 (11.79–17.4)
10Caloprymnus campestris* v. Bettongia spp.12.23 (9.77–14.72)
11Bettongia anhydra* v. other Bettongia8.8 (6.29–11.73)
12Bettongia leseuer v. other Bettongia7.67 (5.86–9.51)
13Bettongia gaimardi v. other Bettongia2.46 (1.81–3.17)
14Bettongia tropica v. Bettongia penicillata1.76 (1.25–2.33)
15Simosthenurus occidentalis* v. other Macropodidae19.21 (15.77–22.62)
16Lagostrophus fasciatus v. other Macropodidae18.6 (15.32–21.9)
17Dorcopsini v. other Macropodinae13.54 (11.19–15.96)
18Dorcopsulus vanheurni v. Dorcopsis hageni7.14 (5.41–9.05)
19Dendrolagini v. Macropodini12.6 (10.35–14.78)
20Thylogale billardierii v. other Dendrolagini11.51 (9.55–13.68)
21Petrogale spp. v. Dendrolagus spp.9.89 (8.01–11.69)
22Petrogale brachyotis v. Petrogale xanthopus7.55 (6.04–9.14)
23Dendrolagus lumholtzi v. Dendrolagus dorianus7.79 (6.17–9.42)
24Onychogalea unguifera v. other Macropodini11.95 (9.81–14.02)
25Setonix brachyurus v. other Macropodini11.46 (9.47–13.52)
26Lagorchestes spp. v. other Macropodini10.38 (8.59–12.29)
27Lagorchestes hirsutus v. Lagorchestes conspicillatus7.53 (5.92–9.12)
28Wallabia bicolor v. other Macropodini9.52 (7.86–11.25)
29Protemnodon anak* v. other Macropodini8.84 (7.3–10.44)
30Macropus spp. v. other Macropodini8.11 (6.68–9.58)
31Macropus giganteus v. Macropus fuliginosus3.84 (2.81–4.94)
32Notamacropus spp. v. Osphranter spp.7.81 (6.43–9.25)
33Notamacropus eugenii v. Notamacropus parma6.57 (5.29–7.9)
34Osphranter rufus v. other Osphranter spp.7.33 (6.01–8.7)
35Osphranter robustus v. Osphranter bernardus5.22 (4.11–6.37)

See Fig. 2 for node number references and the Supplementary Information for other dating analyses.

*Extinct.

Time calibrated phylogeny of crown Macropodoidea (filled black diamond) showing divergence of Caloprymnus campestris (bold type) within Bettonginae (black open circle), and correlated against a schematic of changing palaeohabitats across the late Oligocene–Holocene interval (modified from Kear et al.[6] and Den Boer et al.[82]). Topology is based on the partitioned mitogenome/mtDNA/nDNA dataset. Bayesian posterior probability (< 1.0) and bootstrap (< 100%) support values (regular type) derived using BEAST 2.2.1[36]/MrBayes 3.2.7[35]/RAxML 7.2.8[34] are indicated at relevant nodes. Branch colours denote major clades: Hypsiprymnodontidae (purple); Macropodia, new clade (burgundy); Potoroidae (pink); Potoroinae (orange); Bettonginae (ochre); Macropodidae (red); Sthenurinae (green); Lagostrophinae (yellow); Macropodinae (light blue); Dorcopsini (grey) Dendrolagini (brown); Macropodini (dark blue). *Extinct taxa. See Table 2 for node number references (bold type) and the Supplementary Information for other analyses. Graphics produced with Adobe CC2021 by B.P.K. Estimated divergence times (Ma) with confidence intervals for crown macropodoid clades based on the partitioned mitogenome/mtDNA/nDNA dataset. See Fig. 2 for node number references and the Supplementary Information for other dating analyses. *Extinct. The globally recognised[58] middle to late Miocene climatic transition from equable to increasingly cool, dry conditions[41,59] coincides with potoroine speciations into mesic environments throughout southern Australia[27,56]. These are tracked by our BioGeoBEARS and BBM estimates, which infer occupation of primarily woodland and forest habitats after the earliest-late Miocene (Supplementary Tables S7–S9; Supplementary Figures S13 and S14). This is concurrent with the incipient desertification of inland Australia[60], which may have promoted genetic segregation of the extinct Broad-faced potoroo, Potorous platyops, from Gilbert’s potoroo, Potorous gilbertii, in central-southern[61] and southwestern Australia (BAYAREALIKE + J [B] = 79.64%; BBM [B/AB] = 45.87/44.42%), versus the Long-nosed potoroo, Potorous tridactylus (BAYAREALIKE + J [AB] = 77.96%; BBM [AB] = 94.82%), and basally branching Long-footed potoroo, Potorous longipes, in southeastern Australia[56]. Additionally, we show that regional subspecies distinctions within P. tridactylus were completed by the latest Pliocene to mid-Pleistocene (Table 2; Supplementary Table S7). Curiously, though, Cyt b K2P variation (Supplementary Table S12) implies substantially less genetic difference between the Tasmanian P. tridactylus apicalis and northeastern mainland P. tridactylus tridactylus (1.93%), in comparison to the southeastern mainland P. tridactylus trisulcatus (4.21%). Indeed, these values approximate those contrasting P. tridactylus tridactylus/P. tridactylus trisulcatus with P. gilbertii (2.69/5%), P. platyops (4.1/5%), and P. longipes (5.84/5.69%), supporting inferences of cryptic taxa[56], but in our opinion, only up to species-level. Despite the currently limited DNA sequence coverage for the extinct Finlayson’s[62] Desert bettong, Bettongia anhydra[63], we derive unequivocal support (Fig. 2; Supplementary Figures S1–S12) for the monophyly of Bettongia spp. (bootstrap =  > 90%; BPP = 1), together with close relationships between the woodland-forest dwelling Eastern bettong, Bettongia gaimardi, Northern bettong, Bettongia tropica, and Brush-tailed bettong, Bettongia penicillata penicillata (bootstrap =  > 99%; BPP = 1). Only a few hundred Cyt b (or control region) nucleotides are available for the Woylie, Bettongia penicillata ogilbyi[64]. Nevertheless, our BioGeoBEARS and BBM estimates suggest a latest middle to probably late Miocene divergence of B. anhydra (BAYAREALIKE + J [CD] = 98.54%; BBM [CD] = 55.06%) and the Boodie, Bettongia lesueur, (BAYAREALIKE + J [CD] = 98.12%; BBM [BCD] = 81.72%) in xeromorphic habitats (Table 2; Supplementary Tables S7–S9; Supplementary Figures S13 and S14), followed by Pliocene to as recent as mid-Pleistocene radiations of B. gaimardi (BAYAREALIKE + J [CD] = 90.65%; BBM [BCD/BC] = 27.79/23.75%) and B. tropica + B. penicillata subsp. (BAYAREALIKE + J [CD] = 79.96.12%; BBM [BCD/BC] = 28.32/21.98%) coupled with increasing habitat variegation[41]. We correlate this with vicariant ‘reversions’[5] into eucalypt woodlands and forests[65-67] (Supplementary Tables S10 and S11), which contracted and fragmented with intensifying aridification over the Pliocene–Pleistocene interval[68]. Bettongia is karyotypically conservative, retaining the 2n = 22 chromosomal number of most macropodoids[69,70]. Conversely, chromosomal fission in P. longipes has produced 2n = 24, while fusions (and inversions) in P. tridactylus and P. gilbertii manifest unusual reductions to 2n = 12♀, 13♂[71]. Aepyprymnus rufescens, on the other hand, exhibits a unique karyotypic increase to 2n = 32, which is the highest for any marsupial[71], and presumably reflects its independent evolution since the later-early to early-late Miocene (nDNA favouring a younger later-middle to early-late Miocene range: Table 2; Supplementary Table S7). Although the chromosomal arrangement of C. campestris is unknown, our robustly supported (bootstrap =  > 90%; BPP = 1) earliest-middle to early-late Miocene split from Bettongia (Table 2; Supplementary Table S7) suggests a similarly protracted ancestry, yet with genetic differentiation that approaches intrageneric levels within Bettongia spp. (Cyt b K2P variation being as little as 6.91% compared to B. penicillata: Supplementary Table S12). Significantly, our BioGeoBEARS (BAYAREALIKE + J [CD] = 87.73%) and BBM ([CD] = 53.41%) estimates correlate the C. campestris-Bettongia divergence with a seminal invasion of xeric environments (Supplementary Tables S8–S12; Supplementary Figures S13 and S14), perhaps incorporating arid chenopod shrublands that spread across central Australia from the middle to late Miocene[41,57,60]. The coeval radiation of macropodines is otherwise linked to predominantly woodland and forest settings (Table 2; Supplementary Tables S8–S12; Supplementary Figures S13 and S14). This includes dorcopsins (BAYAREALIKE + J [B] = 54.21%, BBM [AB/B] = 38.93/25.2%) and dendrolagins (BAYAREALIKE + J [B/A] = 49.35/34.51%, BBM [AB/ABC] = 47.93/26.27%) diverging coincident with uplift of the New Guinean landmass[3,72,73], and macropodins which initially diversified in woodland habitats (BAYAREALIKE + J [B] = 95.79%; BBM [B] = 77.19%), but subsequently expanded into open shrublands and eventually grasslands (e.g., Osphranter rufus: BAYAREALIKE + J [B] = 51.33%, BBM [BC/BCD] = 31.62/24.84%) after the late Miocene to as recent as Pliocene to mid-Pleistocene (Table 2; Supplementary Table S7), thereby presaging the modern prevalence of grazing kangaroos[9].

Conclusions

Our characterisation of the complete mitogenome for Caloprymnus campestris provides an ecological diversification timescale for bettongs and potoroos within the context of crown macropodoid evolution. Most importantly, we show that the unambiguously monophyletic C. campestris-Bettongia lineage probably originated with the onset of increasingly arid intracontinental climates during the middle to late Miocene[41,57-60,74], corresponding with the deepest divergences of Australia’s arid zone biota around ~ 15 Ma[1]. This contrasts with the largely late Miocene to Pleistocene radiation of kangaroos, whose abundance in modern arid zone habitats has been attributed to grazing adaptations and the spread of grasslands during the Pliocene and Pleistocene[3,9,12]. Clearly, therefore, the appearances of Australia’s distinctive arid zone macropodoids were staged over some ~ 3–6 Ma (based on minimum–maximum confidence interval differences for C. campestris versus Osphranter rufus: Table 2), and likely occurred in response to a complex interplay of abiotic and biotic drivers involving both climate and vegetation change. Unfortunately, little is known about the biology of C. campestris or other extinct ‘Desert bettongs’, such as Bettongia anhydra[63], and the Nullarbor dwarf bettong[75], Bettongia pusilla[76]. Nonetheless, early eye-witness reports state that C. campestris inhabited sparsely vegetated gibber plains[16]. The diet of C. campestris is also uncertain[23], but might have been varied[16,23] similar to the extant arid zone Bettongia lesueur[77] and Bettongia penicillata[64], which consume a range of plant matter, fungi and insects[78,79]. Caloprymnus campestris was thus probably an important ‘ecosystem engineer’[63] whose tragic loss is compounded by dramatic range reductions and the Near Threatened (Bettongia gaimardi, B. lesueur, Potorous tridactylus), Vulnerable (Potorous longipes), Endangered (Bettongia tropica), Critically Endangered (B. penicillata, Potorous gilbertii), or Extinct (B. anhydra, C. campestris, Potorous platyops) IUCN Red listings (https://www.iucnredlist.org/) for 10 out of the 11 named non-fossil crown potoroids. The extinction susceptibility of C. campestris was presumably exacerbated by its limited distribution (only four recognised collection[22], and 13 potential sighting localities[17] within a ~ 350 km radius) and desert specialisation, which when coupled with habitat modification and the introduction of exotic species via European pastoralism[80], underscores the extreme conservation sensitivity of Australia’s unique arid zone marsupials and the urgent need to document their now dwindling multi-million-year evolutionary histories.

Ethical approval and informed consent

No live animal subjects were used for experiments in this study. All extinct animal tissues were obtained and their use approved by the La Trobe University Animal Ethics Committee (AEC). All experiments were performed in accordance with institutional guidelines and regulations. Supplementary Information.
  31 in total

1.  Inferences of biogeographical histories within subfamily Hyacinthoideae using S-DIVA and Bayesian binary MCMC analysis implemented in RASP (Reconstruct Ancestral State in Phylogenies).

Authors:  Syed Shujait Ali; Yan Yu; Martin Pfosser; Wolfgang Wetschnig
Journal:  Ann Bot       Date:  2011-10-27       Impact factor: 4.357

2.  IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth.

Authors:  Yu Peng; Henry C M Leung; S M Yiu; Francis Y L Chin
Journal:  Bioinformatics       Date:  2012-04-11       Impact factor: 6.937

3.  Phylogenetics of the pademelons (Macropodidae: Thylogale) and historical biogeography of the Australo-Papuan region.

Authors:  Peggy Macqueen; Jennifer M Seddon; Jeremy J Austin; Steven Hamilton; Anne W Goldizen
Journal:  Mol Phylogenet Evol       Date:  2010-08-19       Impact factor: 4.286

4.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

5.  Rapid Pliocene adaptive radiation of modern kangaroos.

Authors:  Aidan M C Couzens; Gavin J Prideaux
Journal:  Science       Date:  2018-10-05       Impact factor: 47.728

6.  Total evidence analysis of the phylogenetic relationships of bandicoots and bilbies (Marsupialia: Peramelemorphia): reassessment of two species and description of a new species.

Authors:  Kenny J Travouillon; Matthew J Phillips
Journal:  Zootaxa       Date:  2018-02-07       Impact factor: 1.091

7.  Editing of a tRNA anticodon in marsupial mitochondria changes its codon recognition.

Authors:  A Janke; S Pääbo
Journal:  Nucleic Acids Res       Date:  1993-04-11       Impact factor: 16.971

8.  Reversal and convergence in marsupial chromosome evolution.

Authors:  W Rens; P C M O'Brien; H Fairclough; L Harman; J A M Graves; M A Ferguson-Smith
Journal:  Cytogenet Genome Res       Date:  2003       Impact factor: 1.636

9.  MITOS: improved de novo metazoan mitochondrial genome annotation.

Authors:  Matthias Bernt; Alexander Donath; Frank Jühling; Fabian Externbrink; Catherine Florentz; Guido Fritzsch; Joern Pütz; Martin Middendorf; Peter F Stadler
Journal:  Mol Phylogenet Evol       Date:  2012-09-07       Impact factor: 4.286

10.  Inferring kangaroo phylogeny from incongruent nuclear and mitochondrial genes.

Authors:  Matthew J Phillips; Dalal Haouchar; Renae C Pratt; Gillian C Gibb; Michael Bunce
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.