Genome of the Komodo dragon reveals adaptations in the cardiovascular and chemosensory systems of monitor lizards


Monitor lizards are unique among ectothermic reptiles in that they have high aerobic capacity and distinctive cardiovascular physiology resembling that of endothermic mammals. Here, we sequence the genome of the Komodo dragon Varanus komodoensis, the largest extant monitor lizard, and generate a high-resolution de novo chromosome-assigned genome assembly for V. komodoensis using a hybrid approach of long-range sequencing and single-molecule optical mapping. Comparing the genome of V. komodoensis with those of related species, we find evidence of positive selection in pathways related to energy metabolism, cardiovascular homoeostasis, and haemostasis. We also show species-specific expansions of a chemoreceptor gene family related to pheromone and kairomone sensing in V. komodoensis and other lizard lineages. Together, these evolutionary signatures of adaptation reveal the genetic underpinnings of the unique Komodo dragon sensory and cardiovascular systems, and suggest that selective pressure altered haemostasis genes to help Komodo dragons evade the anticoagulant effects of their own saliva. The Komodo dragon genome is an important resource for understanding the biology of monitor lizards and reptiles worldwide.


The evolution of form and function in non-avian reptiles contains numerous examples of innovation and diversity. There are an estimated 10,000 reptile species worldwide, found on every continent except Antarctica, with a diversity of lifestyles and morphologies1 corresponding to a broad range of anatomic and physiological adaptations. Understanding how these adaptations evolved through changes to biochemical and cellular processes will reveal fundamental insights into areas ranging from anatomy and metabolism to behaviour and ecology.

The varanid lizards (genus Varanus, or monitor lizards) are an unusual group within squamate reptiles (lizards and snakes). Varanids exhibit the largest range in size among reptiles, varying in mass by over five orders of magnitude (8 g–100 kg)2. Varanids have a unique cardiopulmonary physiology and metabolism with numerous parallels to the mammalian cardiovascular system. For example, their cardiac anatomy is characterized by well-developed ventricular septa (‘muscular ridge’ and ‘bulbus lamellae’) resulting in a functionally divided heart3. This enables a dual-pressure cardiovascular system characterized by high systemic and low pulmonary blood pressures3. Furthermore, varanid lizards can achieve and sustain higher aerobic metabolic rates and endurance capacity than similar size non-varanid squamates, which enables intense, sustainable movements while hunting prey or in bouts of male–male combat. The largest of the varanid lizards, the Komodo dragon Varanus komodoensis, can grow to 3 m in length and run up to 20 km h−1, allowing them to hunt large prey including deer and boar4. Komodo dragons have a higher metabolism than predicted by allometric scaling relationships for varanid lizards5, which may explain their capacity for daily movement to locate prey6. Their ability to locate injured or dead prey through scent tracking over several kilometres is enabled by a powerful olfactory system4, and their hunting is aided by serrate teeth, sharp claws, and saliva with anticoagulant and shock-inducing properties7,8. Furthermore, Komodo dragons engage in aggressive intraspecific conflicts over mating, territory and food, and wild individuals often bear scars from previous conflicts4.

To understand the genetic underpinnings of Komodo dragon physiology, we sequenced its genome and present a de novo assembly, generated with a hybrid approach of Illumina short-read sequencing with long-range sequencing using 10x Genomics, PacBio and Oxford Nanopore sequencing, and single-molecule optical mapping using the Bionano platform. This suite of technologies allowed us to confidently assemble a high-quality reference genome for the Komodo dragon, which can serve as a template for other varanid lizards. We used this genome to understand the relationship of varanids to other reptiles using phylogenomics. We uncovered Komodo dragon-specific positive selection for genes encoding regulators of muscle metabolism, cardiovascular homoeostasis, and haemostasis. Furthermore, we discovered multiple lineage-specific expansions of a family of chemoreceptor genes in several squamates. Finally, we generated a high-resolution chromosomal map by assigning genomic scaffolds to chromosomes, enabling us to address questions about karyotype and sex chromosome evolution in squamates.


De novo genome assembly

We sequenced the Komodo dragon genome principally from DNA isolated from peripheral blood of two male Komodo dragons housed at Zoo Atlanta: Slasher, offspring of the first Komodo dragons given to US President Reagan from President Suharto of Indonesia, and Rinca, an unrelated juvenile. A third individual from Gran Canaria was used for PacBio DNA sequencing. The Komodo dragon genome is distributed across 20 pairs of chromosomes, comprising eight pairs of large chromosomes and 12 pairs of microchromosomes9,10. De novo assembly was performed with a combination of 10x Genomics linked-read sequencing, Bionano optical mapping data, PacBio sequencing and Oxford Nanopore MinIon sequencing (Methods). The final assembly contained 1,411 scaffolds (>10 kb) with an N50 scaffold length of 24 Mb (longest scaffold: 138 Mb; Table 1). The assembly is 1.51 Gb in size, ~32% smaller than the genome of the Chinese crocodile lizard Shinisaurus crocodilurus11, the closest relative of the Komodo dragon for which a sequenced genome is available, and ~15% smaller than the green anole Anolis carolinensis12, a model squamate lizard (Supplementary Table 1). An assembly-free error corrected k-mer counting estimate of the Komodo dragon genome size13 is 1.69 Gb, while a flow cytometry-based estimate of the Komodo dragon genome size is 1.89 Gb (ref. 14; estimated 3.86 pg of DNA per nucleus, with a conversion factor of 978 Mb pg−1 (ref. 15)). Gaps comprise 0.97% of the assembly. We assessed the completeness of the Komodo dragon genome assembly by searching for 2,586 single-copy vertebrate genes using BUSCO16. The Komodo dragon genome has a similar distribution of single-copy (95.7%), duplicated (0.4%), fragmented (2%) and missing (1.9%) universal vertebrate genes as other reptile genomes (Supplementary Table 3). The GC content of the Komodo dragon genome is 44.0%, similar to that of the S. crocodilurus genome (44.5%) but higher than the GC content of A. carolinensis (40.3%; Supplementary Table 1). Repetitive elements accounted for 32% of the genome, most of which were transposable elements (Supplementary Table 2). As repetitive elements account for 49.6% of the S. crocodilurus genome11, most of the difference in size between the Komodo dragon genome and that of its closest sequenced relative can be attributed to repetitive element content.

Chromosome scaffold content

We isolated chromosome-specific DNA pools from a female Komodo dragon embryo from Prague zoo stock through flow sorting10 and performed Illumina short-read sequencing on 15 DNA pools containing all Komodo dragon chromosomes (VKO1-20, VKOZ, VKOW; Supplementary Table 4). For each chromosome, we determined scaffold content and homology to A. carolinensis and chicken Gallus gallus chromosomes (Table 2 and Supplementary Tables 5 and 6). For pools where chromosomes were mixed, we determined partial scaffold content of single chromosomes. A total of 243 scaffolds containing 1.14 Gb (75% of total 1.51 Gb assembly) were assigned to 20 Komodo dragon chromosomes. As sex chromosomes share homologous pseudoautosomal regions, scaffolds enriched in both mixed 17/18/Z and 11/12/W chromosome pools most likely contained sex chromosome regions. As male varanid lizards are homogametic (ZZ) and the embryo used for flow sorting was female (ZW), scaffolds from the male-derived assembly enriched in these pools were assigned to the Z chromosome. Scaffold 79, which was assigned to the Z chromosome, contains an orthologue of the anti-Müllerian hormone (amh) gene, which plays a crucial role in testis differentiation in vertebrates17. Scaffolds assigned to the Z chromosome were homologous to A. carolinensis chromosome 18, and mostly to G. gallus chromosome 28, in agreement with recent transcriptome analysis18.

Gene annotation

To annotate genes in the Komodo dragon genome, we performed RNA sequencing (RNA-seq) of heart tissue, and then used the MAKER pipeline with assembled RNA-seq transcripts, protein homology and de novo predictions as evidence (Methods). A total of 18,457 protein-coding genes were annotated in the Komodo genome, 17,189 (93%) of which have at least one annotated Interpro functional domain (Table 1). Of these protein-coding genes, 63% were expressed (reads per kilobase of transcript per million mapped reads > 1) in the heart. Most (89%) Komodo dragon protein-coding genes are orthologous to A. carolinensis genes. The median amino acid identity of single-copy orthologues between Komodo dragon and A. carolinensis is 68.9%, whereas it is 70.6% between one-to-one orthologues in Komodo dragon and S. crocodilurus (Supplementary Fig. 1).

Phylogenetic placement of Komodo dragon

Recent analyses estimate that varanid lizards and their closest extant relative, the earless monitor lizard of the Lanthanotus genus, diverged 62 Myr ago, and that varanid lizards and the Shinisauridae family diverged 115 Myr ago19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38. We used 1,394 orthologous proteins from the Komodo dragon genome, 14 representative non-avian reptile species (seven squamates, three turtles and four crocodilians), three avian species (chicken, wild turkey and zebra finch) and four mammalian species (platypus, mouse, dog and human) to estimate a species tree (Fig. 1). Our analysis supports a sister relationship between anguimorphs (monitor lizards, anguids, Chinese crocodile lizards and relatives) and iguanians (dragon lizards, chameleons and iguanas), with snakes as sister to these two groups. This is in agreement with previously published analyses, including the most comprehensive marker gene-based molecular phylogenetic analyses39,40,41, and in disagreement with a proposed sister relationship between anguimorphs and snakes or other topologies42,43.

Expansion of vomeronasal genes across squamate reptiles

The vomeronasal organ is a chemosensory tissue shared across most amphibians, reptiles and mammals that detects chemical cues including pheromones and kairomones. There are two classes of vomeronasal chemosensory receptors, both of which have undergone repeated gene family expansions and contractions across vertebrate evolution. The gene family encoding vomeronasal type 2 receptors (V2Rs) has expanded in amphibians, snakes and some mammalian lineages44,45. In contrast, crocodilian and turtle genomes contain very few V1R and V2R genes, and birds have entirely nonfunctional vomeronasal organs46,47. To clarify the relationship between vomeronasal organ function and the evolution of vomeronasal receptor gene families, we analysed the coding sequences of 15 reptiles, including the Komodo dragon, for presence of V1R and V2R genes (Fig. 2a). We found a large repertoire of V2Rs, comparable to that of snakes, in the Komodo dragon, other anguimorphan lizards and geckos. We confirmed that there are few V1R genes across reptiles generally, and few to zero V2R genes in crocodilians and turtles (Supplementary Table 7). The low number of V2R genes in A. carolinensis and the Australian dragon lizard (Pogona vitticeps) suggests that V2R genes are infrequently expanded in iguanians, though more iguanian genomes are needed to test this hypothesis.

We next constructed a phylogeny of all V2R gene sequences across squamates (Fig. 2b) to understand the dynamic evolution of this gene family. The topology of this phylogeny supports the hypothesis that V2Rs expanded in the common ancestor of squamates, as there are clades of gene sequences containing members from all species45. In addition, there are many well-supported single-species clades (that is, Komodo dragon only or Burmese python only) dispersed across the gene tree, consistent with multiple duplications of V2R genes later in squamate evolution, including in the Komodo dragon and gecko lineages (Fig. 2b).

Because V2Rs expanded in rodents through tandem gene duplications that produced clusters of paralogues48, we examined clustering of V2R genes in our Komodo dragon assembly to determine whether a similar mechanism was at play. Of 129 V2 genes, 77 are organized into 21 gene clusters ranging from 2 to 13 paralogues (Fig. 3a and Supplementary Table 8). A phylogeny of all Komodo dragon V2R genes (Fig. 3b) showed that the genes in the largest 13-gene cluster group together in a gene tree of Komodo dragon V2R genes (Fig. 3). Of the remaining 52 V2R genes, 35 are on scaffolds less than 100 kb in size, so our estimate of V2R clustering is a lower bound due to fragmentation in the genome assembly (Supplementary Table 8). These results support the hypothesis that expansions of V2R genes in multiple squamate reptile lineages arose through tandem gene duplication.

Positive selection

To evaluate adaptive protein evolution in the Komodo dragon genome, we tested for positive selection across one-to-one orthologues in squamate reptiles using a branch-site model (Supplementary Table 9). Our analysis revealed 201 genes with signatures of positive selection in Komodo dragons (Supplementary Table 10). Of these, 188 had a one-to-one orthologue in humans, 93 mapped to pathways in the Reactome database and 34 had an annotated functional interaction with at least one other positively selected gene (Supplementary Fig. 2)49,50. These 34 genes are enriched for 12 pathways (false discovery rate <5%), including three related to mitochondrial function, four related to coagulation and five related to immune function (Supplementary Table 11).

Many of the genes under positive selection point towards important adaptations of the Komodo dragon’s mammalian-like cardiovascular and metabolic functions, which are unique among non-varanid ectothermic reptiles. These include mitochondrial function and cellular respiration, haemostasis and the coagulation cascade, and angiotensinogen (Supplementary Table 11 and Supplementary Fig. 2)51. Innate and adaptive immunity genes, which are frequently under positive selection in vertebrates, are well represented among positively selected genes52. Finally, 106 positively selected genes do not have an annotated function and 25% of positively selected genes were not detectably expressed in the heart and likely represent adaptations in other aspects of Komodo dragon biology.

Positive selection of genes regulating mitochondrial function

In the Komodo dragon genome, we found evidence of positive selection of electron transport chain components including multiple subunits and assembly factors of the type 1 NADH dehydrogenase—NDUFA7NDUFAF7NDUFAF2NDUFB5—as well as components of the cytochrome c oxidase protein complexes, COX6C and COA5 (Fig. 4, Supplementary Fig. 3 and Supplementary Table 10). We also found signatures of positive selection for other elements of mitochondrial function in the Komodo dragon lineage (Fig. 4). For example, we detected positive selection for ACADL, which encodes a critical enzyme for mitochondrial fatty acid β-oxidation, the major postnatal metabolic process in cardiac myocytes53. Furthermore, two genes that promote mitochondrial biogenesis, TFB2M and PERM1, have undergone positive selection in the Komodo dragon. TFB2M regulates mitochondrial DNA (mtDNA) transcription and dimethylates mitochondrial 12S ribosomal RNA54,55, while PERM1 regulates the expression of select PPARGC1A/B and ESRRA/B/G target genes with roles in glucose and lipid metabolism, energy transfer, contractile function, muscle mitochondrial biogenesis and oxidative capacity56PERM1 also enhances mitochondrial biogenesis, oxidative capacity and fatigue resistance when overexpressed in mice57. Finally, we observed positive selection of MDH1, encoding malate dehydrogenase, which together with mitochondrial MDH2 regulates the supply of NADPH and acetyl coenzyme A to the cytoplasm, thus modulating fatty acid synthesis58.

Multiple factors regulating mitochondrial translation have also undergone positive selection in the Komodo dragon (Fig. 4). These include four components of the mitochondrial 28S small ribosomal subunit (MRPS15MRPS23MRPS31 and AURKAIP1) and two components of the mitochondrial 39S large ribosomal subunit (MRPL28 and MRPL37). We also found positive selection of ELAC2 and TRMT10C, which are required for maturation of mitochondrial transfer RNA, and MRM1, which encodes a mitochondrial rRNA methyltransferase59,60,61.

Overall, these instances of positive selection in genes encoding proteins important for mitochondrial function could underlie the remarkably high aerobic capacity in the Komodo dragon. Additional genome sequences are needed to determine whether these changes are specific to the Komodo dragon, shared across varanid lizards generally, or found in unsequenced reptiles.

Positive selection of angiotensinogen

We detected positive selection for angiotensinogen (AGT), which encodes the precursor of several peptide regulators of cardiovascular function, the most well-studied being angiotensin II (AngII) and angiotensin 1-7 (A1-7). AngII has a vasoactive function in blood vessels and inotropic effects on the heart62. In mammals, the level of Angll increases in response to intense physical activity, contributing to arterial blood pressure and regional blood regulation63,64,65,66. Reptiles have a functional renin–angiotensin system (RAS) that is important for their cardiovascular response to aerobic activity67,68,69. The positive selection for AGT points to important adaptations in cardiovascular physiology and the renin–angiotensin system in the Komodo dragon.

Positive selection of haemostasis-related genes

We found evidence for positive selection across regulators of haemostasis, which reduces blood loss after injury. Four genes that regulate platelet activities, MRVI1RASGRP1LCP2 and CD63, have undergone positive selection in the Komodo dragon genome. MRVI1 is involved in inhibiting platelet aggregation70RASGRP1 coordinates calcium-dependent platelet responses71LCP2 is involved in platelet activation72 and CD63 has a role in controlling platelet spreading73. In addition, two coagulation factors, F10 (factor X) and F13B (coagulation factor XIII B chain) have undergone positive selection in the Komodo dragon genome. Activation of factor X is the first step in initiating coagulation74 and factor 13 is the final factor activated in the coagulation cascade75. Further, FGB, which encodes one of the three subunits of fibrinogen, the molecule converted to the clotting agent fibrin76, has undergone positive selection in the Komodo dragon genome.


We have sequenced and assembled a high-quality genome of the Komodo dragon that will be a template for analysis of other varanid genomes, and for further investigation of genomic innovations in the varanid lineage. We were able to assign 75% of the genome to chromosomes, providing a significant contribution to comparative genomics of squamates and vertebrates generally. As the number of squamate whole-genome sequences continues to grow, there will be opportunities to examine the evolution of noncoding DNA in these reptiles.

Varanid lizards have genotypic sex determination and share ZZ/ZW sex chromosomes with other anguimorphan lizards10,18. Here, we were able to assign genomic scaffolds to the Z chromosome of the Komodo dragon. All Z chromosome scaffolds were homologous to A. carolinensis chromosome 18 and mostly to chicken chromosome 28, in agreement with a recent transcriptome-based analysis18. Within Iguania, the sister group of anguimorphs20,30,40, there are environmental sex-determination systems without sex chromosomes as well as conserved XX/XY sex chromosomes homologous to anguimorphan autosomes77,78,79,80,81. Sex chromosomes in most snakes (pythons and all families of caenophidian snakes82) are homologous to chromosome 6 of A. carolinensis and thus to autosomes of the Komodo dragon, suggesting an independent origin of sex chromosomes in snakes and anguimorphs. However, the ancestral sex determination of snakes remains unresolved82,83. The regions of sex chromosomes shared by the common ancestor of varanids and several other lineages of anguimorphan lizards contain the amh gene18, which has a crucial role in vertebrate testis differentiation. Homologues of amh are strong candidates for sex-determining genes in several lineages of teleost fishes and in monotremes84,85,86,87, and should be considered candidate sex-determining genes in varanids and other anguimorphs.

Our comparative genomic analysis identified previously undescribed species-specific expansion of V2Rs across multiple squamates, including lizards and at least one snake. Komodo dragons, like other squamates, are known to have a sophisticated lingual–vomeronasal system for chemical sampling of their environment88. This sensory apparatus allows Komodo dragons to perceive environmental chemicals for social and ecological activities, including kin recognition, mate choice89,90, predator avoidance91,92 and hunting prey93,94. Komodo dragons are unusual as they adopt differential foraging tactics across ontogeny, with smaller juveniles preferring active foraging for small prey and large adult dragons targeting larger ungulate prey via ambush predation6. However, utilization of the vomeronasal system across ontogeny seems likely, given the exceptional capacity for Komodo dragons of all sizes to locate prey. Future work will be able to explore the role of V2R expansion in the behaviour and ecology of Komodo dragons, including their ability to locate prey at long distances4.

We found evidence for positive selection in the Komodo dragon genome across genes involved in regulating mitochondrial biogenesis, cellular respiration and cardiovascular homoeostasis. Komodo dragons and other monitor lizards have a high aerobic capacity and exercise endurance, and our results reveal selective pressures on biochemical pathways that are likely to be the source of this high aerobic capacity. Reptile muscle mitochondria typically oxidize substrates at a much lower rate than mammalian mitochondria, partly based on substrate-type use95. The findings that Komodo dragons experienced selection in several genes encoding mitochondrial enzymes, including one involved in fatty acid metabolism, points towards a more mammalian-like mitochondrial function. Future work on additional varanid species, and other squamate outgroups, will test these hypotheses. Selective pressures acting on these mitochondrial genes in Komodo dragons is consistent with the increased expression of genes associated with oxidative capacity found in pythons after feeding96,97.

In addition, we found positive selection for angiotensinogen, which encodes two potent vasoactive and inotropic peptides with central roles in cardiovascular physiology. In mammals, AngII contributes to the mean arterial blood pressure and to the redistribution of cardiac output65,66. A compelling hypothesis is that these changes to angiotensinogen may be an important component in the ability of the Komodo dragon to rapidly increase blood pressure and cardiac output as required for hunting, extended periods of locomotion including inter-island swimming, and male–male combat during the breeding season. Direct measures of cardiac function have not been made in Komodo dragons, but in other varanid lizards, a large aerobic scope during exercise is associated with a large factorial increase in cardiac output98. Future physiological studies measuring the hemodynamic responses to exercises with respect to AngII expression can test this hypothesis. Giraffes, which have evolved high blood pressure to maintain cardiovascular homoeostasis in their elongated bodies, have experienced positive selection on several blood pressure regulators, including the angiotensin-converting enzyme99. It is possible that positive selection in animals with high blood pressures converges on angiotensin regulators. Overall, the evolution of these genes suggests a profoundly different cardiovascular and metabolic profile relative to other squamates, endowing the Komodo dragon with unique physiological properties.

We also found evidence for positive selection across genes that regulate blood clotting. Like other monitor lizards, the saliva of Komodo dragons contains anticoagulants, which is thought to aid in hunting7,8. During conflict with conspecifics over food, territories or mates, Komodo dragons use their serrate teeth to inflict bite wounds, raising the possibility that these anticoagulants may enter their bloodstream. The extensive positive selection of genes encoding their coagulation system may reflect a selective pressure for Komodo dragons to evade the anticoagulant and hypotensive effects of the saliva of conspecifics. While all monitor lizards tested contain anticoagulants in their saliva, the precise mechanism by which they act varies8. It is possible that different species of monitor lizards evolved adaptations that reflect the diversity of their anticoagulants, or that coevolution has occurred between monitor lizard coagulation systems and anticoagulant saliva. Further, as Komodo dragons have high blood pressure, changes to their coagulation system may reflect increased protection from vascular damage.


DNA isolation and processing for Bionano optical mapping

Komodo dragon whole blood was obtained from one of two individuals housed at Zoo Atlanta (Rinca). Samples from the animals at Zoo Atlanta were collected with the approval of the Zoo’s Scientific Research Committee. High-molecular-weight genomic DNA was extracted for genome mapping. Blood was centrifuged at 2,000 g for 2 min, plasma was removed and the sample was stored at 4 °C. Then, 2.5 μl of blood was embedded in 100 μl agarose gel plugs to give ~7 μg DNA per plug, using the Bio-Rad CHEF Mammalian Genomic DNA Plug Kit (Bio-Rad Laboratories). Plugs were treated with proteinase K overnight at 50 °C. The plugs were then washed, melted and solubilized with GELase (Epicentre). The purified DNA was subjected to 4 h of drop dialysis. DNA concentration was determined using Qubit 2.0 Fluorometer (Life Technologies), and the quality was assessed with pulsed-field gel electrophoresis.

The high-molecular-weight DNA was labelled according to commercial protocols using the IrysPrep Reagent Kit (Bionano Genomics). Specifically, 300 ng of purified genomic DNA was nicked with 7 U nicking endonuclease Nb.BbvCI (NEB) at 37 °C for 2 h in NEB Buffer 2. The nicked DNA was labelled with a fluorescent-dUTP nucleotide analogue using Taq polymerase (NEB) for 1 h at 72 °C. After labelling, the nicks were repaired with Taq ligase (NEB) in the presence of dNTPs. The backbone of fluorescently labelled DNA was stained with DNA stain (Bionano).

Bionano mapping and assembly

Using the Bionano Irys instrument, automated electrophoresis of the labelled DNA occurred in the nanochannel array of an IrysChip (Bionano Genomics), followed by automated imaging of the linearized DNA. The DNA backbone (outlined by YOYO-1 staining) and locations of fluorescent labels along each molecule were detected using the Irys instrument’s software. The length and set of label locations for each DNA molecule defines an individual single-molecule map. Raw Bionano single-molecule maps were de novo assembled into consensus maps using the Bionano IrysSolve assembly pipeline (version 5134) with default settings, with noise values calculated from the 10x Genomics Supernova assembly. The Bionano optical mapping data comprised 80× genome coverage, and the scaffold N50 of the assembly was 1.2 Mb.

DNA processing for 10x Genomics linked-read sequencing

Blood samples from two individuals housed at Zoo Atlanta (Slasher and Rinca) were used. High-molecular-weight genomic DNA extraction, sample indexing and generation of partition barcoded libraries were performed by 10x Genomics according to the Chromium Genome User Guide and as published previously100. Then 1.2 ng of genomic DNA was used as input to the Chromium system.

10x Genomics sequencing and assembly

The 10x Genomics barcoded library was sequenced on the Illumina HiSeq2500. A total of 660 million of the raw reads comprising 57× genome coverage were assembled using the company’s Supernova software (version 1.0) with default parameters. Output fasta files of the Supernova assemblies were generated in pseudohap format, which links phased and unphased regions of the assembly into ‘pseudo-haplotype’ scaffolds. This generated an initial assembly with a scaffold N50 length of 10.2 Mb and a contig N50 length of 95 kb.

Oxford Nanopore sequencing

DNA isolated from Slasher was sequenced to 0.75× coverage on an Oxford Nanopore MinIon sequencer following the manufacturer’s instructions. MinKNOW was used for basecalling and output to FASTQ files.

DNA processing for PacBio sequencing

Komodo dragon whole blood collected in EDTA from an individual housed at Reptilandia zoo, Gran Canaria under institutional approval, stored at −20 °C, was used to extract high-molecular-weight DNA for single-molecule real-time sequencing. Extraction was performed using gravity-flow, anion-exchange tips (Qiagen genomic-tip 100/G kit) to a final DNA concentration of 130 ng μl−1 assessed using a Qubit 2.0 Fluorometer. Size of extracted DNA was determined by a 16 h pulse-field gel electrophoresis, which resolved high-molecular-weight fragments from 15 kb to 85 kb. We constructed a 10 kb and a 20 kb insert library using 20 μg of genomic DNA. The library was then size selected using a Blue Pippin (Sage Science) and resulting double-stranded DNA fragments were capped by hairpin loops at both ends to form a SMRTbell template. Single-molecule SMRTbell templates were then loaded in 150,000 Zero Mode Waveguides SMRT cells of a PacBio RS II sequencing system using paramagnetic beads (MagBeads, PacBio). Sequencing was performed using a total of 29 SMRT cells. We obtained a total of 2,061,804 subread filtered sequences for a total sequence length of 11,907,672,561 bp. Average, maximum and minimum sequence lengths were 5,775 bp, 48,338 bp and 35 bp, respectively. Median sequence length was 4,486 bp. N50 read length was 12,457 bp. In total, PacBio sequencing data represented 6.3× genome sequencing coverage.

Merging datasets into a single assembly

Sequencing and mapping data types were merged together as follows. First, Bionano assembled contigs and the 10x Genomics assembly were combined using Bionano’s hybrid assembly tool with the -B2 -N2 options. SSPACE-LongRead ( was used in series with default parameters to scaffold the hybrid assembly using PacBio reads, Nanopore reads, and unincorporated 10x Genomics Supernova scaffolds/contigs, resulting in the final assembly.

Genome completeness assessment

The BUSCO pipeline version 3.0.2 was used to determine the completeness of the Komodo dragon genome, using the 2,586 gene vertebrata gene set and the Augustus retraining parameters (—long)16. For comparison, BUSCO was also run with the same parameters on all reptile genomes used for comparative analyses (S. crocodilurusOphisaurus gracilisA. carolinensisP. vitticepsPython molurus bivittatusEublepharis maculariusGekko japonicusPelodiscus sinensisChelonia mydasChrysemys picta belliiAlligator sinensisAlligator mississippiensisGavialis gangeticus and Crocodylus porosus) (Supplementary Table 3).

We obtained an assembly-free estimate of the Komodo dragon genome size using an sequencing error corrected k-mer counting method implemented in the PreQC component of the SGA assembler13.

Assignment of scaffolds to chromosomes

Isolation of Komodo dragon chromosome-specific DNA pools was performed as previously described10. Briefly, fibroblast cultivation of a female V. komodoensis were obtained from tissue samples of an early embryo of a captive individual at the Prague National Zoo. Embryos are obtained under the laws of the Czech Republic and of the European Union. Chromosomes obtained by fibroblast cultivation were sorted using a Mo-Flo (Beckman Coulter) cell sorter. Fifteen chromosome pools were sorted in total. Chromosome-specific DNA pools were then amplified and labelled by degenerate oligonucleotide primed PCR and assigned to their respective chromosomes by hybridization of labelled probes to metaphases. V. komodoensis chromosome pools obtained by flow sorting were named according to chromosomes (for example majority of DNA of VKO6/7 belong to chromosomes 6 and 7 of V. komodoensis). V. komodoensis pools for macrochromosomes are each specific for one single pair of chromosomes, except for VKO6/7 and VKO8/7, which contain one specific chromosome pair each (pair 6 and pair 8, respectively), plus a third pair which overlaps between the two of them (pair 7). For microchromosomes, pools VKO9/10, VKO17/18/19, VKO11/12/W and VKO17/18/Z contained more than one chromosome each, while the rest are specific for one single pair of microchromosomes. The W and Z chromosomes are contained in pools VKO11/12/W and VKO17/18/Z, respectively, together with two pairs of other microchromosomes each.

Chromosome-pool-specific genetic material was amplified by GenomePlex Whole Genome Amplification Kit (Sigma) following manufacturer protocols. DNA from all 15 chromosome pools was used to prepare Illumina sequencing libraries, which were independently barcoded and sequenced 125 bp paired-end in a single Illumina Hiseq2500 lane.

Reads obtained from sequencing of flow-sorting-derived chromosome-specific DNA pools were processed with the dopseq pipeline (,102. Illumina adaptors and whole-genome amplification primers were trimmed off by cutadapt v1.13103. Then, pairs of reads were aligned to the genome assembly of V. komodoensis using bwa mem104. Reads were filtered by mapping quality ≥20 and length ≥20 bp, and aligned reads were merged into positions using pybedtools 0.7.10105,106. Reference genome regions were assigned to specific chromosomes based on distance between positions. Finally, several statistics were calculated for each scaffold. Calculated parameters included: mean pairwise distance between positions on scaffold, mean number of reads per position on scaffold, number of positions on scaffold, position representation ratio (PRR) and P value of PRR. PRR of each scaffold was used to evaluate enrichment of given scaffold on chromosomes. PRR was calculated as ratio of positions on scaffold to positions in genome divided by ratio of scaffold length to genome length. PRRs >1 correspond to enrichment, while PRRs <1 correspond to depletion. As the PRR value is distributed lognormally, we use its logarithmic form for our calculations. To filter out only statistically significant PRR values, we used thresholds of logPRR >0 and its P value ≤0.01. Scaffolds with logPRR >0 were considered enriched in the given sample. If one scaffold was enriched in several samples we chose the highest PRR to assign scaffold as top sample.

We also compared the genome organization at the chromosome level among V. komodoensisA. carolinensis and G. gallus. We determined homology of each V. komodoensis scaffold to scaffolds of A. carolinensis (AnoCar2.0) and G. gallus (galGal3) genome generating alignment between genomes with LAST107 and subsequently using chaining and netting technique108. Homology to A. carolinensis microchromosomes was determined using scaffold assignments from an Anolis chromosome-specific sequencing project101. For LAST, we used default scoring matrix and parameters of 400 for gap existence cost, 30 for gap extension cost and 4,500 for minimum alignment score. For axtChain we used same distance matrix and default parameters for other chain-net scripts.

RNA sequencing

RNA was extracted from heart tissue obtained from an adult male specimen that died of natural causes at the San Diego Zoo. This was approved by the Institutional Animal Care and Use Committee and Biomaterials Review Group of San Diego Zoo. Trizol reagent was used to extract RNA following the manufacturer’s instructions. Two RNA-seq libraries were produced using a NuGen RNAseq v2 and Ultralow v2 kits from 100 ng total RNA each, and sequenced on an Illumina Nextseq 500 with 150 bp paired-end strand-specific reads.

Genome annotation

RepeatMasker v4.0.7 was used to mask repetitive elements in the Komodo dragon genome using the Squamata repeat database from the RepBase-Dfam combined database as reference109. After masking repetitive elements, protein-coding genes were annotated using the MAKER version 3.01.02110 pipeline, combining protein homology information, assembled transcript evidence, and de novo gene predictions from SNAP and Augustus version 3.3.1111. Protein homology was determined by aligning proteins from 15 reptile species (Supplementary Table 1) to the Komodo dragon genome using exonerate version 2.2.0112. RNA-seq data were aligned to the Komodo dragon genome with STAR version 2.6.0113 and assembled into 900,722 transcripts with Trinity version 2.4.0114. Protein domains were determined using InterProScan version 5.31.70115. Gene annotations from the MAKER pipeline were filtered based on the strength of evidence for each gene, the length of the predicted protein and the presence of protein domains. Clusters of orthologous genes across 15 reptile species were determined with OrthoFinder v2.0.0116. A total of 284,107 proteins were clustered into 16,546 orthologous clusters. In total, 96.4% of Komodo dragon genes were grouped into orthologous clusters. For estimating a species phylogeny only, protein sequences from Mus musculus and G. gallus were added to the orthologous clusters with OrthoFinder. Transfer RNAs were annotated using tRNAscan-SE version 1.3.1117, and other noncoding RNAs were annotated using the Rfam database118 and the Infernal software suite119.

Phylogenetic analysis

A total of 1,394 one-to-one orthologous proteins across 15 reptile species, three birds and four mammals were used to estimate a species phylogeny. The 15 reptile species used were V. komodoensisS. crocodilurusO. gracilisA. carolinensisP. vitticepsP. molurus bivittatusE. maculariusG. japonicusP. sinensisC. mydasC. picta belliiA. sinensisA. mississippiensisG. gangeticus and C. porosus. The three birds used were G. gallus, Meleagris gallopavo and Taeniopygia guttata, and the four mammals were Ornithorhynchus anatinus, M. musculus, Canis familiaris and Homo sapiens. Each set of orthologous proteins were aligned using PRANK v.170427120. Aligned proteins were concatenated into a supermatrix, and a species tree was estimated using IQ-TREE version with model selection across each partition122 and 10,000 ultrafast bootstrap replicates123.

To identify genes in this dataset of 1,394 orthologues that are evolving in a clock-like manner and thus useful for phylogenomic analyses such as divergence time estimates, we created individual trees for each of the genes in our analysis using the procedure described above but without bootstrapping. We then used SortaDate124 to calculate a number of informative metrics, including root-to-tip variance, tree length and bipartition support relative to the species phylogeny. This dataset can be used to find candidate marker genes for phylogenomic analyses and is available in a Figshare repository at

Gene family evolution analysis

Gene family expansion and contraction analyses were performed with CAFE v4.2125 for the squamate reptile lineage, with a constant gene birth and gene death rate assumed across all branches.

V2Rs were first identified in all species by containing the V2R domain InterPro domain (IPR004073)126. To ensure that no V2R genes were missed, all proteins were aligned against a set of representative V2R genes using BLASTp127 with an e-value cutoff of 1 × 10−6 and a bitscore cutoff of 200 or greater. Any genes passing this threshold were added to the set of putative V2R genes. Transmembrane domains were identified in each putative V2R gene with TMHMM v2.0128 and discarded if they did not contain seven transmembrane domains in the C-terminal region. Beginning at the start of the first transmembrane domain, proteins were aligned with MAFFT v7.310 (auto-alignment strategy)129 and trimmed with trimAL (gappyout)130. A gene tree was constructed using IQ-TREE121,122,123 with the JTT+ model of evolution with empirical base frequencies and 10 FreeRate model parameters, and 10,000 bootstrap replicates. Genes were discarded if they failed the IQ-TREE composition test.

Positive selection analysis

We analysed 4,047 genes that were universal and one-to-one across all squamate lineages tested (V. komodoensisS. crocodilurusO. gracilisA. carolinensisP. vitticepsP. molurus bivittatusE. macularius and G. japonicus) to test for positive selection (Supplementary Table 9). An additional 2,013 genes that were universal and one-to-one across a subset of squamate species (V. komodoensisA. carolinensisP. molurus bivittatus and G. japonicus) were also analysed (Supplementary Table 9). We excluded multicopy genes from all positive selection analyses to avoid confounding from incorrect paralogy inference. Proteins were aligned using PRANK120 and codon alignments were generated using PAL2NAL131.

Positive selection analyses were performed with the branch-site model aBSREL using the HYPHY framework132,133. For the 4,081 genes that were single-copy across all squamate lineages, the full species phylogeny of squamates was used. For the 2,040 genes that were universal and single-copy across a subset of species, a pruned tree containing only those taxa was used. We discarded genes with unreasonably high dN/dS (defined as the ratio of the rate of nonsynonymous to synonymous substitutions) values across a small proportion of sites, as those were false positives driven by low-quality gene annotation in one or more taxa in the alignment. We used a cutoff of dN/dS of less than 50 across 5% or more of sites, and a P value of less than 0.05 at the Komodo dragon node. Each gene was first tested for positive selection only on the Komodo dragon branch. Genes undergoing positive selection in the Komodo dragon lineage were then tested for positive selection at all nodes in the phylogeny. This resulted in 201 genes being under positive selection in the Komodo dragon lineage (Supplementary Table 10).

Reporting Summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.


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