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Cryptic diversity in Ptyodactylus (Reptilia: Gekkonidae) from the northern Hajar Mountains of Oman and the United Arab Emirates uncovered by an integrative taxonomic approach

  • Marc Simó-Riudalbas,

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – original draft

    Affiliation Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37–49, Barcelona, Spain

  • Margarita Metallinou †,

    † Deceased.

    Roles Conceptualization, Formal analysis, Investigation, Methodology, Resources

    Affiliation Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37–49, Barcelona, Spain

  • Philip de Pous,

    Roles Formal analysis, Resources

    Affiliation Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37–49, Barcelona, Spain

  • Johannes Els,

    Roles Resources

    Affiliation Breeding Centre for Endangered Arabian Wildlife, Environment and Protected Areas Authority, Sharjah, UAE

  • Sithum Jayasinghe,

    Roles Resources

    Affiliation Breeding Centre for Endangered Arabian Wildlife, Environment and Protected Areas Authority, Sharjah, UAE

  • Erika Péntek-Zakar,

    Roles Investigation, Resources

    Affiliation Institute of Animal Science, Biotechnology and Nature Conservation, University of Debrecen, Debrecen, Hungary

  • Thomas Wilms,

    Roles Resources

    Affiliation Allwetterzoo Münster, Sentruper Str. 315, Münster, Germany

  • Saleh Al-Saadi,

    Roles Resources

    Affiliation Ministry of Environment and Climate Affairs, Thaqafah Street, Muscat, Oman

  • Salvador Carranza

    Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing – original draft

    Affiliation Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Passeig Marítim de la Barceloneta 37–49, Barcelona, Spain


The Hajar Mountains of south-eastern Arabia form an isolated massif surrounded by the sea to the east and by a large desert to the west. As a result of their old geological origin, geographical isolation, complex topography and local climate, these mountains provide an important refuge for endemic and relict species of plants and animals. With 19 species restricted to the Hajar Mountains, reptiles are the vertebrate group with the highest level of endemicity, becoming an excellent model for understanding the patterns and processes that generate and shape diversity in this arid mountain range. The geckos of the Ptyodactylus hasselquistii species complex are the largest geckos in Arabia and are found widely distributed across the Arabian Mountains, constituting a very important component of the reptile mountain fauna. Preliminary analyses suggested that their diversity in the Hajar Mountains may be higher than expected and that their systematics should be revised. In order to tackle these questions, we inferred a nearly complete calibrated phylogeny of the genus Ptyodactylus to identify the origin of the Hajar Mountains lineages using information from two mitochondrial and four nuclear genes. Genetic variability within the Hajar Mountains was further investigated using 68 specimens of Ptyodactylus from 46 localities distributed across the entire mountain range and sequenced for the same genes as above. The molecular phylogenies and morphological analyses as well as niche comparisons indicate the presence of two very old sister cryptic species living in allopatry: one restricted to the extreme northern Hajar Mountains and described as a new species herein; the other distributed across the rest of the Hajar Mountains that can be confidently assigned to the species P. orlovi. Similar to recent findings in the geckos of the genus Asaccus, the results of the present study uncover more hidden diversity in the northern Hajar Mountains and stress once again the importance of this unique mountain range as a hot spot of biodiversity and a priority focal point for reptile conservation in Arabia.


Understanding and quantifying biological diversity is imperative if we want to be able to explain and, ultimately, conserve it. Nevertheless, despite more than 250 years of taxonomic work, we still lack precise estimates of the number of species living on the planet. This uncertainty is typically attributed to inadequate knowledge of small-sized species with reduced distribution ranges concentrated in hotspots and less explored areas of our planet such as the deep sea and soil [1,2]. Recently, molecular methods have revealed that cryptic species, that is, two or more morphologically similar species erroneously classified under the same species’ name, contribute another layer of uncertainty toward realistic estimates of our planet’s diversity [3,4]. One important aspect of crypsis is its potential impact on conservation planning: species that are considered common, widely distributed and of low conservation priority may actually contain multiple morphologically similar species, each with small ranges and therefore of high conservation concern [57]. Given the great need for cataloguing and conserving our biota, uncovering cryptic species should be a high priority research so that many of these evolutionary units are not lost before they can be described [1].

It is generally accepted that the tropical regions, which hold the highest biodiversity, also have the greatest potential for harbouring cryptic species, but given the complexity of these environments and their inaccessibility considerable time and effort will be required for their discovery [4]. At the other extreme are deserts and arid regions, which comprise approximately 18% of the earth’s surface [8] and have relatively lower levels of species richness [9]. However, scattered across these plains are isolated mountain ranges with diverse physical and climatic environments [10]. Generally, these mountains have been poorly explored and given their age and physiographical features they may be important sources of diversification, especially for reptiles, which are successful inhabitants of arid environments [11]. In fact, detailed studies from the Atlas Mountains in North Africa [10,1215] and the Hajar and south-western Mountains in Arabia [6,7,1618] seem to bear this out.

The Hajar Mountains are the largest mountain range in eastern Arabia, forming a 650 km arc that runs parallel to the coast of the Gulf of Oman (Fig 1A). Most of this region is within Oman but a small section, just south of the Musandam Governorate, is included in the United Arab Emirates. The mountains reach over 2,000 m above sea level in the Ruus al Jibal and over 3,000 m at Jebel Shams, and they are thus high enough to influence local climate significantly. Despite the increased rainfall compared to the surrounding arid lowland regions, average annual precipitation in the Hajar Mountains is still low (less than 300 mm), evapotranspiration is very high (three to four times the annual rainfall) and the barren nature of the terrain classifies it as a mountain desert [19,20]. The geological history of the Hajar Mountains is very complex but at the same time relatively well known. Like other mountain ranges in Arabia, orogeny started in the Oligocene triggered by the opening of the Gulf of Aden, with mountain building extending well into the Miocene, up to 4–6 Ma [21,22]. As a result of its isolation from other mountain ranges in Arabia (the nearest mountains, the Dhofar Mountains of southern Oman, are 700 km away), climatic differences occur between the lowland and the highland areas along with a complex geomorphology. The Hajar mountains are one of the regions with the highest biological diversity of the whole Arabian Peninsula, including numerous endemic plants and animals (e.g. [19] and references therein; [6,7,2326]). Of all the vertebrates that inhabit the Hajar Mountains, the reptiles are the group that presents the highest level of endemicity, with 19 species found nowhere else in the world [6,7,17,23,2631].

Fig 1. Geographical distribution and phylogenetic relationships of the two species from the Hajar Mountains.

(A) Map of the study area showing the localities of examined material. Type localities are marked with star symbols of the same color as the species. Information of all the samples included can be found in S1 Table. Maps were drawn using QGIS v.2.8 (available at; digital elevation model freely available at (B) Bayesian inference tree of 11 species of Ptyodactylus based on the concatenated sequences of two mitochondrial (12S and cytb) and four nuclear (c-mos, MC1R, ACM4 and RAG2) genes. Black dots indicate posterior probability values ≥0.95 in the Bayesian analysis while bootstrap values ≥70% in the maximum likelihood analysis are shown next to the nodes (see S1 Fig). Age estimates are in italics below the nodes and include the mean and the HPD 95% confidence interval in brackets. The tree was rooted using one specimen of Asaccus gallagheri (not included in the figure). (C) Bayesian inference tree of 68 Ptyodactylus based on the concatenated sequences of two mitochondrial (12S and cytb) and four nuclear (c-mos, MC1R, ACM4 and RAG2) genes. Black dots indicate posterior probability values ≥0.95. Each sequence is labelled with the specimen code followed by the locality code (see Fig 1A). Detailed information on the samples included in both phylogenetic trees is given in S1 Table. Inset picture shows a specimen of P. ruusaljibalicus sp. nov.

Within the endemic reptiles of the Hajar Mountains, the geckos of the genus Ptyodactylus Goldfuss, 1820 are one of the most conspicuous elements of the reptile fauna, being distributed across the whole mountain range, from sea level up to 2,464 m in elevation ([30]; S. Carranza pers. observ.). They are the largest geckos of the Hajar Mountains, measuring up to 98 mm of snout-vent length, easily recognizable by their fan-like terminal pads (commonly known as Fan-footed geckos). They are found active on cliffs, boulders, rock-bedded wadis (gorges) and caves during the night, although they can also be seen hiding inactive during the day [32,33]. Ptyodactylus species are able to produce different types of calls composed of a series of loud clicks that are used for communication [34]. Geographical variation within the Arabian populations of Ptyodactylus was first reported by Arnold [28,32]. However, the high level of morphological similarity between the different species of the genus has historically complicated taxonomic work in this group ([3538], among others). A recent multilocus phylogenetic analysis by Metallinou et al. (2015) [17] shed some light on the systematics of the African taxa and detected unexpectedly high levels of genetic diversity within what they referred to as the Ptyodactylus hasselquistii species complex. This is a mainly Arabian species complex composed by P. hasselquistii sensu stricto (Donndorff, 1789), type locality El Cairo, Egypt; P. ananjevae Nazarov, Melnikov and Melnikova, 2013, type locality Al Mudawwarah, southern Jordan; P. dhofarensis Nazarov, Melnikov and Melnikova, 2013, type locality Wadi Ayun, Dhofar, southern Oman; P. orlovi Nazarov, Melnikov and Melnikova, 2013, type locality Wadi Tanuf, central Hajar Mountains, northern Oman and several undescribed deep phylogenetic lineages distributed across the Arabian Mountains, including one lineage in the Ruus al Jibal, in the extreme northern Hajar Mountains.

In this study, we have sampled specimens of Ptyodactylus from localities across the entire Hajar Mountains with the objective of clarifying their systematics and biogeography. The results of the molecular, morphological and ecological analyses indicate the presence of two very old sister cryptic species living in allopatry: one restricted to the northern tip of the Hajar Mountains and described as a new species herein; the other distributed across the rest of the Hajar Mountains that can be confidently assigned to the species P. orlovi. Similar to recent findings in the geckos of the genus Asaccus [7], the results of the present study uncover more hidden diversity in the northern Hajar Mountains and stress once again the importance of this unique mountain range as a hot spot of biodiversity and a priority focal point for reptile conservation in Arabia.

Materials and methods

Ethics statement

No in vivo experiments were performed. Specimens were collected and manipulated with the authorization and under strict control, permission of the governments of Oman (Ministry of Environment and Climate Affairs, MECA) and the United Arab Emirates (Environment and Protected Areas Authority, Government of Sharjah) that approved the study. Specimens were captured and processed following the guidelines and protocols stated in the collecting permits and agreements obtained from the competent authorities of Oman and the United Arab Emirates (see references below). Members of the government supervised collecting activities. All efforts were made to minimize animal suffering. All the necessary collecting and export permits for this study in Oman were issued by the Nature Conservation Department of the Ministry of Environment and Climate Affairs, Oman (Refs: 08/2005; 16/2008; 38/2010; 12/2011; 13/2013; 21/2013) and the research in the United Arab Emirates was done under the supervision and permission of the Environment and Protected Areas Authority, Government of Sharjah. This research is not Institutional. As a result of the characteristics of this study and the total control and compliance with the laws, regulations and procedures of this kind of biodiversity studies in Oman and the United Arab Emirates, it did not need the approval by an Institutional Animal Care and Use Committee (IACUC) or ethics committee.

Molecular analyses

Molecular samples, DNA extraction and amplification.

A total of 77 individuals of Ptyodactylus and one Asaccus (A. gallagheri) were included in the molecular study. A list of all specimens with their taxonomic identifications, sample codes, voucher references, geographical distribution data and GenBank accession numbers for all sequenced genes is presented in S1 Table.

Genomic DNA was extracted from ethanol-preserved tissue samples using the SpeedTools Tissue DNA Extraction kit (Biotools, Madrid, Spain) and six genetic markers were PCR-amplified and sequenced in both directions: the ribosomal 12S rRNA (12S) and cytochrome b (cytb) mitochondrial gene fragments, and four nuclear fragments of the genes encoding the oocyte maturation factor MOS (c-mos), the melanocortin 1 receptor (MC1R), the acetylcholine receptor M4 (ACM4) and the recombination activating protein 2 (RAG2). Primers, PCR conditions and source references for the amplification of all fragments are listed in S2 Table.

Sequence analysis.

Geneious Pro v.8.0.3 (Biomatters Ltd.) was used for assembling and editing the chromatographs manually. All coding fragments were translated into amino acids and no stop codons were observed. Heterozygous positions for the nuclear coding gene fragments were identified based on the presence of two peaks of approximately equal height at a single nucleotide site in both strands and were coded in both alleles according to IUPAC ambiguity codes. DNA sequences were aligned for each gene independently using the online application of MAFFT v.7 [39] with default parameters (Auto strategy, Gap opening penalty: 1.53, Offset value: 0.0). For the 12S ribosomal fragment the Q-INS-i strategy was applied, in which information on the secondary structure of the RNA is taken into account. SEQPHASE [40] was used to convert the input files, and the software PHASE v.2.1.1 to resolve phased haplotypes [41]. Default settings of PHASE were used except for phase probabilities that were set to ≥ 0.7 (see [42]). Phased sequences of the nuclear genes were only used for the network analyses. Inter and intra-specific uncorrected p-distances with pairwise deletion were estimated for both mitochondrial gene fragments independently using MEGA v.7 [43].

Phylogenetic analyses and estimation of divergence times.

Two different datasets were used for the phylogenetic analyses. Dataset 1 was assembled to infer the position of the populations from the Hajar Mountains of Oman and the UAE (the object of our study) in a nearly complete calibrated phylogeny of the genus Ptyodactylus. This dataset consisted of 11 Ptyodactylus specimens (one of: P. togoensis Tornier 1901, P. ananjevae, P. dhofarensis, P. guttatus Heyden, 1827, P. hasselquistii, P. oudrii Lataste, 1880, P. puiseuxi Boutan, 1893, P. ragazii Anderson, 1898, and P. siphonorhina Anderson, 1896 and two of Ptyodactylus from the Hajar Mountains of Oman and the UAE: one P. orlovi and one specimen of the new species described herein) plus one specimen of Asaccus gallagheri that was used as outgroup based on published evidence [4448]. Dataset 1 included all described species of Ptyodactylus, with the only exception of P. homolepis Blanford, 1876 from south Pakistan [17,49], only known from the types and for which DNA sequences are not available. All Ptyodactylus specimens from dataset 1 were carefully chosen, so that they were either from the type locality of each included species or very near to it (S1 Table; see also [17]). Dataset 2 was assembled with the aim of studying in detail the phylogenetic relationships and the biogeographic patterns of Ptyodactylus from the Hajar Mountains of Oman and the UAE. This dataset included 68 specimens collected from 46 localities distributed across the Hajar Mountains (Fig 1A and S1 Table).

Dataset 1 was analysed with maximum likelihood (ML) and Bayesian inference (BI) methods, whereas dataset 2 was only analysed with Bayesian inference, including only ingroup sequences (all samples from the Hajar Mountains of Oman and the UAE). The best-fit partitioning scheme and models of molecular evolution for datasets 1 and 2 were selected with PartitionFinder v.1.1.1 [50] with the following settings: branch lengths linked, only models available in BEAST evaluated, initial partitions by gene, BIC model selection criterion applied and all partition schemes analysed. The partition scheme and models of sequence evolution selected were 12S+cytb, GTR+I+G; c-mos+ACM4+RAG2, HKY+G and MC1R, HKY+I for dataset 1 and 12S+cytb, HKY+G; c-mos+ACM4+RAG2, HKY+I and MC1R, TN+I+G dataset 2. ML analyses of dataset 1 were performed in RAxML v.7.4.2 [51] as implemented in raxmlGUI [52] with 100 random addition replicates, using the GTR+G model of sequence evolution and independent model parameters for each gene partition. Reliability of the ML tree was assessed by bootstrap analysis [53] including 1,000 replications.

The software BEAST v.1.7.5 [54] was used for BI phylogenetic inference and dating analyses. Two individual runs of 1x108 generations were carried out for datasets 1 and 2, sampling at intervals of 10,000 generations. Models and prior specifications applied were as follows (otherwise by default): model of sequence evolution for each partition as selected by PartitionFinder (see above); Speciation Yule (dataset 1), Coalescent Constant Size (dataset 2) process tree prior for the phylogenetic reconstruction; uncorrelated lognormal clock for mitochondrial genes and strict clock for nuclear ones; random starting tree; base substitution prior Uniform (0,100); alpha prior Uniform (0,10). Partitions and clock models were unlinked and the xml file was manually modified to set Ambiguities = “true” for the nuclear gene partitions in order to account for variability in the heterozygous positions, instead of treating them as missing data. Posterior trace plots and effective sample sizes (ESS) of the runs were monitored in Tracer v1.5 [54] to ensure convergence. The results of the individual runs were combined in LogCombiner discarding 10% of the samples and the ultrametric tree was produced with TreeAnnotator (both provided with the BEAST package). An additional run was performed for all the analyses, sampling only from the prior in order to ensure that the data were sufficiently informative.

The lack of internal calibration points in Ptyodactylus precluded any direct estimation of the time of the cladogenetic events in our phylogeny. Alternatively, the absolute divergence times were estimated in the BEAST analysis of dataset 1 (see above) applying previously calculated mean rates of molecular evolution for exactly the same two mitochondrial fragments used in this study 12S (mean: 0.00755, stdev: 0.00247) and cytb (mean: 0.0228, stdev: 0.00806) [6]. Despite the problems associated with using evolutionary rates from other organisms for time tree calibration, the rates inferred by Carranza & Arnold, (2012) [6] and applied here correspond with the rates obtained in other independent studies that used different calibration points and different taxa [55,56]. Indeed, the rates by Carranza & Arnold, (2012) [6] have been applied to several different studies for which reliable internal calibration points based on biogeographic events or fossil evidence do not exist [17,26,31,5762]. Tree nodes were considered strongly supported if they received ML bootstrap values ≥ 70% and posterior probability (pp) support values ≥ 0.95 [63,64].

Intraspecific diversity and nuclear allele networks.

The pattern of isolation by distance (IBD) within the two species of Ptyodactylus from the Hajar Mountains was tested by a correlation between a matrix of pairwise genetic distances of mitochondrial haplotypes (calculated as the uncorrected p-distances) and a matrix of the Euclidean geographic distances between localities using a Mantel test with 10,000 permutations as implemented in the Isolation by Distance Web Service v.3.23 [65]. In all these analyses, the frequency and spatial distribution of mitochondrial haplotypes was obtained by collapsing localities within a maximum range of one kilometre.

Statistical parsimony networks on the four nuclear genes were built with the program TCS v.1.21 [66] using default settings (connection limit of 95%). For comparative purposes, only specimens with complete sequence information for all four nuclear genes were included (S1 Table).

Morphological analyses

Morphological samples and variables.

A total of 41 alcohol-preserved specimens of Ptyodactylus from the Hajar Mountains of Oman and the UAE were examined and included in the morphological analyses. A list of all studied specimens with sex, metric and meristic variables and their MorphoBank accession numbers is presented in S3 Table. All voucher specimens were obtained from the Natural History Museum, London, UK (NHMUK), the Oman Natural History Museum, Muscat, Oman (ONHM) and S. Carranza’s field series housed at the Institute of Evolutionary Biology (IBE), Barcelona, Spain. The following measurements were taken twice on the right side of each specimen by the same person (MSR) using a digital calliper with accuracy to the nearest 0.01 mm and were expressed in millimetres: snout-vent length (SVL), distance from the tip of the snout to the cloaca; axilla-groin length (AGL), distance between the fore and hind limb insertion points; head length (HL), measured ventrally as the distance from the tip of the snout to the retroarticular process of the jaw; head width (HW), measured as the widest point of the head in dorsal view, usually at the level of the temporal region; head depth (HD), measured laterally as the distance from the ventral to the dorsal surface of the head at mid-eye level; eye to nostril distance (END), measured as the distance from the external nares to the anterior margin of the eye; interorbital distance (IOD), narrowest distance between the eyes; orbital diameter (OD), maximal longitudinal length of the eyeball; ear to eye distance (EED), measured as the distance from the posterior margin of the eye to the anterior margin of the ear opening; brachium length (BL), measured from the elbow to the insertion of the forelimb on the anterior part of body; digit IV of the manus (4th finger) (IVM), measured from the base to the tip of the finger; antebrachium length (AL), measured from the wrist to the elbow; thigh length (ThL), measured from knee to the insertion of the hind limb on the posterior side of the body; crus length (CL), measured from the ankle to the knee; digit IV of the pes (4th toe) (IVP), measured from the base to the tip of the finger and tail length (TL), measured only in the holotype and paratypes of the new species because many individuals had an unequal regenerated tail or had lost it. In addition to these morphometric variables, the following pholidotic (meristic) variables were collected using a dissecting microscope: number of rows of enlarged tubercles on the dorsum (TubL); number of cloacal tubercles (TubA), number of supralabial scales (SL); number of infralabial scales (IL); number of lamellas under the 4th finger (Fan4A); number of lamellas under the 4th toe (Fan4P); number of subdigital scales on the 4th finger (LF4); number of subdigital scales on the 4th toe. Juveniles (SVL<65mm) were only used for the pholidosis. The morphological traits where photographed using a Nikon 300 camera with a 60 mm macro-lens, in order to make all the data easily available to the scientific community. The complete collection of 269 high-resolution photographs has been deposited in MorphoBank (Project 1261;

Univariate and multivariate analyses.

Statistical analyses were used to investigate if there were differences in size and shape between P. orlovi and the new species of Ptyodactylus described herein. The 15 morphometric and the eight meristic variables were analysed independently and juvenile specimens were not included in the multivariate analyses of the continuous variables (Tables 1 and 2). After removing eight juveniles, the dataset of continuous variables included 33 specimens, 29 of which (16 males and 13 females) corresponded to P. orlovi, and only four (three males and one female) to the new species described herein (S3 Table). All variables were log-transformed to increase the homogeneity of variances. As linear body measurements are generally correlated with body size, all 14 morphometric variables (see above) were regressed against SVL in order to extract the body-size effect using the corresponding residues as a shape proxy. A principal component analysis (PCA) was then performed on the correlation matrix of the residuals to visualize the shape variation between both species in a reduced dimensional space. In order to detect which traits contributed to separate the two species in the morphospace, a one-way ANOVA on each principal component was performed. Regarding body size, differences between species were tested using a one-way ANOVA on the log-transformed values of SVL. In addition, pholidotic differences between both species were tested using a one-way ANOVA for each variable for taxonomic purposes (see taxonomic account).

Table 1. Descriptive statistics for all morphometric variables examined for P. ruusaljibalicus sp. nov. and P. orlovi.

Mean ± Standard Deviation (SD) and range (Min–Max) are given. Abbreviations of characters as explained in the Material and Methods and as in S3 Table.

Table 2. Descriptive statistics for all meristic variables examined for P. ruusaljibalicus sp. nov. and P. orlovi.

Mean ± Standard Deviation (SD) and range (Min–Max) are given. Abbreviations of characters as explained in the Material and Methods and as in S3 Table.

Despite some authors already showed significant sexual dimorphism in some species of Ptyodactylus [67], sexual dimorphism across the 15 morphometric variables was tested within Ptyodactylus populations from the Hajar Mountains. As a result of the low number of available specimens of the new species described herein, differences on body size and shape between sexes were only tested within P. orlovi, using a one-way ANOVA for each variable. Summary statistics (mean, maximum, minimum and Standard Error) for each character were calculated for all males, females and juveniles included in the present study (Tables 1 and 2). Data analysis and tests of significance were performed using the statistical software XLSTAT-Pro version 2008.6.8 (Copyright Addinsoft 1995–2008 software).

Ecological analyses

Quantifying niche overlap.

A total of 192 distribution records (P. orlovi, n = 162; the new species described herein, n = 30) were assembled from the authors’ database which, apart from the specimens analysed in the present study, also included personal observations as well as precise observations and bibliographic data from Gardner (2013) [30]. Bioclimatic variables (19) were downloaded from the WorldClim database version 1.4 [68] at a resolution of about 1 km. In order to quantify the degree of ecological differentiation between P. orlovi and the new species described herein, we employed a multivariate analysis framework proposed by Broennimann et al. (2012) [69] implemented in R (R3.1.2, R Development Core Team 2008). Following this framework, we computed multivariate environmental niche overlaps between the two species from the Hajar Mountains employing the two best performing ordination techniques [69]: (1) Principal Component Analysis (PCA) calibrated on the entire environmental space of the study area (termed PCA-env [69]), and (2) Ecological Niche Factor Analysis (ENFA) [70]. We additionally created 100 datasets with 30 random localities for P. orlovi to explore if the asymmetric dataset affected similarity significance [71]. The framework by Broennimann et al. (2012) [69] implements a modified niche similarity and niche equivalency tests sensu Warren et al. (2008) [71] and calculates niche overlap for pairs of species using Schoener’s D [72].

Microhabitat analysis.

A comparison of the microhabitat use by the two endemic species of Ptyodactylus from the Hajar Mountains was carried out with 49 observations of adult specimens of P. orlovi and of 12 specimens of the new species described herein. Observations took place in spring and autumn 2013. The microhabitat was categorized using information from the substrate and distance above ground, two variables that are considered relevant in geckos [32,73,74]. Substrate observations were summarized into four main categories: 1) cliffs and cave fissures, 2) rocks and boulders, 3) ground and 4) tree branches. On the other hand, height above ground was categorized into three intervals: 1) <0.5 m, 2) 0.5–1.5 m and 3) >1.5 m. These data were analysed with the Fisher exact probability test (N≤120) for a contingency table using the web application VassarStats (

Species concept

In this manuscript we have adopted the General Lineage Species Concept [75]. This unified species concept considers species as separately evolving metapopulation lineages and treats this property as the single requisite for delimiting species. Other properties, such as phenetic distinguishability, reciprocal monophyly, and pre- and postzygotic reproductive isolation, are not part of the species concept but serve as important lines of evidence relevant to assess the separation of lineages and therefore to species delimitation [76].

Nomenclatural acts

The electronic edition of this article conforms to the requirements of the amended International Code of Zoological Nomenclature, and hence the new names contained herein are available under that Code from the electronic edition of this article. This published work and the nomenclatural acts it contains have been registered in ZooBank, the online registration system for the ICZN. The ZooBank LSIDs (Life Science Identifiers) can be resolved and the associated information viewed through any standard web browser by appending the LSID to the prefix “”. The LSID for this publication is: The electronic edition of this work was published in a journal with an ISSN, and has been archived and is available from the following digital repositories: PubMed Central, LOCKSS.


Molecular analyses

Dataset 1 consisted of a concatenated alignment of 2,706 base pairs (bp) for 12 individuals with 603 variable positions (V) and 327 parsimony informative sites (Pi) including the mitochondrial genes 12S (397 bp; V = 183; Pi = 109) and cytb (393 bp; V = 208; Pi = 150) and the nuclear gene fragments ACM4 (429 bp; V = 45; Pi = 12), c-mos (413 bp; V = 56; Pi = 11), MC1R (666 bp; V = 89; Pi = 36) and RAG2 (408 bp; V = 22; Pi = 9). Dataset 2 consisted of a concatenated alignment of 2,684 bp (V = 187; Pi = 159) including the mitochondrial genes 12S (375 bp; V = 58; Pi = 47) and cytb (393 bp; V = 111; Pi = 96) and the nuclear gene fragments ACM4 (429 bp; V = 2; Pi = 2), c-mos (413 bp; V = 8; Pi = 8), MC1R (666 bp; V = 3; Pi = 3) and RAG 2 (408 bp; V = 5; Pi = 3).

The results of the ML and BI analyses of the genus Ptyodactylus (dataset 1) are presented in Fig 1B (see also S1 Fig). The two trees were identical, with most of the nodes well supported. The African species P. togoensis is the sister taxon to all the other Ptyodactylus species included in the analysis. The Maghrebian P. oudrii is the second species to branch off the tree. The position of P. ragazzii as sister taxon to the northeast African P. siphonorhina and the two Levant species P. guttatus and P. puiseuxi is well supported by both ML and BI analyses. Ptyodactylus puiseuxi, P. siphonorhina and P. guttatus form a very well supported clade with the latter two species being phylogenetically more closely related. The members of the Ptyodactylus hasselquistii species complex sensu Metallinou et al. (2015) [17], a clade to which we will refer herein as to the Arabian clade, branch together in a well-supported group only in the BI analysis. Within the Arabian clade, the south Oman P. dhofarensis is a sister taxon to a group formed by two well-supported clades; a first clade endemic to the Hajar Mountains of Oman and the UAE that includes two species: P. orlovi and the new species described herein from Ruus al Jibal, in the extreme northern Hajar Mountains; and a second clade formed by P. ananjevae and P. hasselquistii (see Fig 1B). Inferred ages indicate that diversification in Ptyodactylus started at least 26.7 Ma (95% HPD = 16.99–41.11). The Arabian clade started diversifying 15.69 Ma (95% HPD = 9.95–23.85) and, within it, divergence between the two species from the Hajar Mountains occurred 7.06 Ma (95% HPD = 4.38–11.07).

The results of the phylogenetic analyses of dataset 2 assembled to study in detail the phylogeographic relationships of Ptyodactylus orlovi and the new species described herein are shown in Fig 1C. Despite very good sampling across the Hajar Mountains (Fig 1A), the variability within each of the species is relatively low, especially within the Ruus al Jibal populations. Like in Fig 1B, both main lineages are phylogenetically very well differentiated.

The uncorrected genetic distances between the two clades of Ptyodactylus from the Hajar Mountains are 10.4±1.5% for the 12S and 18.8±1.8% for the cytb; similar to the genetic divergence between all Ptyodactylus species (see Table 3). The level of genetic variability within the Ruus al Jibal populations is 0.2 ±0.1% for the 12S and 0.8 ±0.2% for the cytb and within P. orlovi is 1.6 ±0.4% for the 12S and 3.2 ±0.4% for the cytb. The results of the haplotype network analyses are presented in Fig 2 and clearly show that, despite the relatively high number of specimens analysed, the clade formed by the populations from the Ruus al Jibal and P. orlovi do not share a single allele in all four nuclear genes analysed. The populations from Ruus al Jibal include six haplotypes (two in the c-mos, one in MC1R, two in ACM4 and one in RAG2) and P. orlovi presents 25 haplotypes (eight in c-mos, six in MC1R, five in ACM4 and six in RAG2). The different haplotypes of P. orlovi do not present any geographic structure, being distributed evenly over the various sampling sites (Fig 1A, Fig 2 and S1 Table).

Fig 2. Statistical parsimony nuclear allele networks.

(A) c-mos, (B) MC1R, (C) ACM4, (D) RAG2. Circle sizes are proportional to the number of individuals and white circles represent mutational steps. Detailed information on the samples included in the networks is given in S1 Table.

Table 3. Uncorrected p-distances between all the Ptyodactylus species included in this study, using the 12S (lower left) and cytb (upper right) mitochondrial markers.

The results of the isolation by distance analysis indicate that geographic distance contributes significantly to genetic isolation in P. orlovi (Mantel’s r = 0.46, P<0.001). Even so, many divergent haplotypes co-occur in nearby locations decreasing the correlation between genetic and geographic distances (see S2 Fig). For the new species from the Ruus al Jibal described herein, no pattern of isolation-by-distance was found (Mantel’s r = 0.21, P = 0.26) as a result of the incipient genetic variability displayed in a reduced area (about 70 km from north to south and 30 km from east to west) (Fig 1A and S2 Fig). It is important to notice that sensitivity of this test is commonly diminished because the Euclidian distances do not integrate all possible pathways connecting populations considering important orographic barriers like topographic relief of mountains.

Morphological analyses

Shape differences between P. orlovi and the new species described herein are presented in Fig 3 and descriptive statistics for all 23 measured variables are in Tables 1 and 2. Sexual dimorphism on size was not significant (F = 3.085; d.f. = 1; P = 0.09). Shape differences between sexes were tested for each character and this test result was only significant for one variable: EED (P = 0.001). Consequently, this morphometric character was excluded and both sexes were pooled together in all posterior analyses. Size differences between species were not significant (F = 3.145; d.f. = 1; P = 0.086) and shape differentiation tested on the PCA scores of the 13 components was not significant for all of them. Therefore, both species overlap clearly in the morphospace and we cannot differentiate each other with the current morphometric data (Fig 3).

Fig 3. Principal Component Analysis (PCA) of the shape related morphological data.

The contribution of the first three components explaining morphological variation is given in brackets. See material and methods for details.

Ecological analyses

The environmental space occupied by P. orlovi and the new species described herein as determined by PCA-env and ENFA is shown in Fig 4. Niche overlap between the species is low (D = 0.285) for PCA-env to moderate for ENFA (D = 0.535) (following Rödder and Engler 2011 [77]) and the niche equivalency hypothesis was rejected (P = 0.02) for both PCA-env and ENFA, indicating that the two species have undergone significant alteration of their environmental niche. The background similarity test, however, shows that the niches of P. orlovi and the new species are significantly more similar than would be expected given the underlying environmental differences between the regions they inhabit (backgrounds) for both PCA-env and ENFA (P = 0.02 in both directions). The randomization test indicates that 13% (new species > P. orlovi) and 5% (P. orlovi > new species) of the 100 random replications are non-significant. Overall, the studied macroniches are different but they can predict each other quite well, so there is a degree of niche conservatism.

Fig 4.

Visualization of the climatic space occupied by Ptyodactylus orlovi (1) and Ptyodactylus ruusaljibalicus sp. nov. (2) based on PCA-env (A) and ENFA (B). (A) The niches of both species are displayed on a multi-dimensional scale represented by the first two axes of a principal component analyses (PCA) summarizing the entire study area. (B) The x-axis shows marginality and the y-axis specialization. In both figures the grey shadings reflect the density of the occurrences of each species by cell. The dashed and solid contour lines illustrate, respectively, 50% and 100% of the available background environment. The significance of the equivalency and similarity tests is shown with an asterisc (*).

Field observations did not show significant differences in substrate occupation (P = 0.65) between both species. All specimens of the new species described herein were observed inhabiting cliffs and cave fissures (category 1; n = 6) and also rocks and boulders (category 2; n = 6). Similarly, P. orlovi was mainly observed on cliffs and cave fissures (category 1; n = 28) and rocks and boulders (category 2; n = 19), even though a few specimens where on the ground (category 3; n = 2) and tree branches (category 4; n = 1). Differences in distance above ground were also negligible (P = 0.23). P. orlovi was abundantly found in the three height intervals (<0.5 m; n = 13, 0.5–1.5 m; n = 14 and >1.5 m; n = 23) and, regarding the new species described in this study, only one specimen were found under 0.5 m, 6 specimens between 0.5 and 1.5 m and 5 specimens over 1.5 m.


Despite the high level of crypsis between the populations from the Ruus al Jibal and P. orlovi in the characters studied here, the results of the two mitochondrial and four nuclear gene fragments analysed (Figs 1B, 1C and 2) clearly show that these two lineages have been evolving independently for a long time. As a result of that, and based also on a few morphological traits (see diagnosis below, Tables 1 and 2 and S3 Table), we describe this unnamed population from the extreme northern part of the Hajar Mountain range as a new species.

Family Phyllodactylidae

Genus Ptyodactylus Goldfuss, 1820

Ptyodactylus ruusaljibalicus sp. nov.

(Figs 15; Tables 13; S1 and S2 Figs; S1 and S3 Tables)

Fig 5. View of the common habitat in the mountainous Ruus al Jibal and general appearance in life of Ptyodactylus ruusaljibalicus sp. nov.

(A) Rocky habitat in the type locality on the 23rd of April 2013. (B) Holotype of P. ruusaljibalicus sp. nov. (voucher code NHMUK2013.347) including a detail of the cloacal tubercles at the tail base. All photographs taken by Salvador Carranza.

MorphoBank M339669–M339739

Ptyodactylus hasselquistii. Arnold and Gallagher, 1977: 65 (part.); Arnold, 1977: 106 (part.); Arnold, 1986: 421 (part.); van deer Kooij, 2000: 117 (part.); Sindaco and Jeremcenko, 2008: 123 (part.); Gardner, 2013: 186 (part.).

Holotype. NHMUK2013.347, adult male, from Musandam (Oman), 26.04214N 56.36966E WGS84, collected by S. Carranza, M. Metallinou, Ali Alghafri, Sultan Khalifa and Hamed Al Furkani on the 22nd of April 2013 between 12:30–13:30, tissue code CN3951 (MorphoBank M339669–M339684).

Paratypes. NHMUK2013.348, adult male, from Musandam (Oman), 26.22711N 56.21312E WGS84, collected by S. Carranza, M. Metallinou, Ali Alghafri, Sultan Khalifa and Hamed Al Furkani on the 21st of April 2013 between 22:10–22:40, tissue code CN5959 (MorphoBank M339685–M339691); IBECN892, adult male from Musandam (Oman), 26.15057N 56.16159E WGS84, collected by S. Carranza, M. Metallinou, Ali Alghafri, Sultan Khalifa and Hamed Al Furkani on the 21st of April 2013 between 23:15–23:45, tissue code CN892 (MorphoBank M339662–M339668); ONHM3743, adult female, from Musandam (Oman), 25.97805N 56.20497E WGS84, collected by S. Carranza, M. Metallinou, J. Smid and R. Vasconcelos on the 24th of October 2013 between 19:42–21:00, tissue code CN8178 (MorphoBank M339698–M339717).

Other material examined. Five juveniles listed in S1 and S3 Tables, only considered here for the genetic and ecological analyses and also for the pholidotic traits.

Etymology. The specific name “ruusaljibalicus” is an adjective that refers to Ruus al Jibal, that means “Heads of the Mountains”, where all the specimens that belong to this species have been found to date and from where the species is probably endemic.

Diagnosis. A large size species of the genus Ptyodactylus characterized by the following combination of characters: (1) large size with a maximum recorded SVL of 90.01 mm for males and 85.94 mm for females (only one female known); (2) head narrow with elongated snout; (3) 12–13 infralabials and 12–14 supralabials; (4) dorsum with 9–11 irregular longitudinal rows of round, enlarged and slightly keeled tubercles; (5) absence of enlarged tubercles on the dorsal side of the extremities; (6) four prominent cloacal tubercles at the tail base (two on each side); (7) 9–11 subdigital scales on the 4th finger and 10–11 under the 4th toe; (8) 18–22 terminal lamellae under the 4th finger and 20–22 under the 4th toe; (9) in life, uniform light grey dorsum, some specimens with dark brown transverse bands that extended onto the tail. Underside of body and tail ivory-white.

Ptyodactylus ruusaljibalicus sp. nov. is morphologically very similar to P. orlovi, its phylogenetic sister taxon (Fig 1B and 1C), and the only species of the genus geographically close to it (Fig 1A). However, the data presented here suggest that P. ruusaljibalicus sp. nov. may be differentiated from P. orlovi by a lower number of longitudinal rows of enlarged tubercles (9–11 versus 11–14; P<0.001) that are usually less keeled; cloacal tubercles more prominent, visible dorsally, four in total (two on each side) versus 1–6 (less prominent and mostly unevenly distributed); usually lighter dorsal colour and less evident pattern of dark bands and spots on back. On the other hand, it can be clearly differentiated at the genetic level by p-distances of 10.4±1.5% in the 12S and 18.8±1.8% in the cytb together with the absence of allele sharing between the two species in the nuclear markers c-mos, RAG2, ACM4 and MC1R (Fig 2). Ptyodactylus ruusaljibalicus sp. nov. can be differentiated morphologically from the only species not included in the phylogenetic analyses, P. homolepis, by its smaller size (max SVL 90.01 mm versus 105 mm); by the presence of enlarged and slightly keeled dorsal tubercles on the back (absence of enlarged tubercles in P. homolepis); and by rostral and first supralabials entering the nostril (nostrils entirely surrounded by swollen nasals which separate them entirely from the rostral and supralabials in P. homolepis).

Description of the holotype. NHMUK2013.347. Data on 15 morphometric and eight meristic variables (see Material and Methods) are provided in S3 Table. Adult male, medium size (SVL 80.2 mm), slender body with relatively elongated extremities. Head relatively narrow with elongated snout (HW/SVL = 0.18, HW = 69% HL). Rostral roughly rectangular; nostrils protuberant defined by rostral, upper labial (both entering broadly in to lower nostril border), and three supranasals in contact with upper border; inner supranasals in contact with rostral and separated from each other by one polygonal scale; 12/14 (right/left) upper labial scales and 12/13 lower labials (MorphoBank M339671). Size and shape of head scales small granular, uniform and non-imbricate with some enlarged tubercles on the back of head and neck. Mental scale elongated separating the first postmental, two postmentals on the right side and three on the left; ear opening vertical, elliptical and elongated; large eyes (ED/SVL = 0.07) with vertical pupil; 11 rows of elongated tubercles on the back, scales slightly keeled; scales on dorsum of body and extremities small, granular, uniform and non-imbricate; scales underside the head and body increasing in size towards the pelvic area, small, granular in the gular region, more elongated and distinctly imbricated on the underside of neck, slightly imbricated between the axilla and groin and larger, rhomboid and imbricated in the pelvic area. Hemipenial bulges very obvious with two cloacal tubercles on each side. Elongated digits with 11 subdigital scales and twenty terminal lamellae under the 4th finger and toe (MorphoBank M339672 and M339674). Non-regenerated tail of similar length to SVL (TL = 80.5 mm; TL/SVL = 1). Tongue partially removed for genetic analyses.

Colouration in alcohol whitish-yellow underneath and pale grey above, with irregular transversal dark bands and spots across the body. Tail with ten dark transversal bands being narrower and increasing in intensity distally; ventral surface of tail pale with no bands extending on to it (Morphobank M339669–M339670). Two thin interrupted dark stripes, one from the back of eye, over the ear, across the neck and on to occipital area, the other starting in the posterior side of ear to shoulders. Colour in life much richer than in the fixed specimen; light grey-ochre with the above-described pattern of marks more evident. Iris in life colourful, golden with dark venations (MorphoBank M339675–M339684).

Variation. Data on 15 morphometric and eight meristic variables (see Material and Methods) for all three paratypes, NHMUK2013.348, IBECN892 and ONHM3743 are provided in S3 Table. All the specimens are very similar to each other varying slightly in size related measurements, number of supralabials, terminal lamellae under the 4th toe and number of subdigital scales under the 4th finger and the 4th toe (S3 Table). Tails of paratypes ONHM3743 and NHMUK2013.348 broken at the base, in the latter preserved intact together with the specimen (TL = 85.67). Right side of the head damaged in paratype ONHM3743 (MorphoBank M339705). Tail of IBECN892 regenerated. Main colouration very similar to the holotype, with paratypes IBECN892 and NHMUK2013.348 being much lighter, lacking dorsal and head dark markings (MorphoBank M339662 and M339685 respectively) and paratype ONHM3743 with very weak longitudinal dark bands from neck to pelvic area (MorphoBank M339698–M339701, M339703).

Distribution and ecology. Despite intensive sampling across the Hajar Mountain range and other areas in Arabia carried out between 2004 and 2014, Ptyodactylus ruusaljibalicus sp. nov. has only been found in the Ruus al Jibal region, from the Musandam Peninsula to the Dibba region in the UAE. It can be therefore considered endemic to this distinctive geographical area (Fig 1A). The northernmost and southernmost localities lie approximately 26 km northwest and 58 km south-west of the type locality, respectively. The minimum distance between Ptyodactylus ruusaljibalicus sp. nov. and P. orlovi is 23 km by air. Ptyodactylus ruusaljibalicus sp. nov. inhabits cliffs and cave fissures, rocks and boulders at different heights. The species is mainly nocturnal, although some specimens were out in the shade during the day.

Conservation status. Not evaluated.

Proposal of common names.

English: Ruus al Jibal fan-footed gecko

Arabic: الأقدام مروحية الجبال رؤوس وزغة


The results of the integration of molecular, morphological and ecological data reveal a very old speciation event within the genus Ptyodactylus and highlight another case of endemicity in the northern tip of the Hajar Mountain range [7]. Our discovery is relevant because it shifts attention from the much better explored and studied Jebel Akhdar, in the central section of the Hajar Mountains, a recognized hotspot of biodiversity [78,79] and indicates that other less investigated areas of the Hajar Mountains may be reservoirs of high levels of diversity, especially of cryptic species. With the description of Ptyodactylus ruusaljibalicus sp. nov. and the presence of Asaccus margaritae, A. gardneri and A. caudivolvulus [7], this short and narrow mountain stretch of approximately 140 km from north to south and 40 km from east to west (4,350 km2) contains four endemic species of reptiles, exactly the same number of endemics inhabiting the Jebel Akhdar in the central Hajar Mountains (Hemidactylus luqueorum, Asaccus platyrhynchus, A. montanus and Pristurus gallagheri; [30]). The recent descriptions of Asaccus species [7] and the present work are very good examples of the potential impact that the lack of taxonomic knowledge (the Linnean shortfall; [80]) can have on conservation planning. Species that are considered common and widely distributed may actually contain multiple species, each with small ranges and of potentially high conservation concern, such as A. caudivolvulus, the reptile with the smallest distribution range of all 19 reptile species endemic to the Hajar Mountains [57].

Despite the broad distribution range of Ptyodactylus geckos and the high level of genetic diversity including several described and undescribed species, all its members present very conserved morphologies in terms of body size and especially body shape [17,32,33,73] and overall allopatric distributions, with very few areas where a maximum of two species coexist in sympatry [17,33,38,67,81,82]. A similar case to the geckos of the genus Hemidactylus from southwestern Arabia [83] and the Pristurus rupestris species complex from the Hajar Mountains [84] and in contrast to other Arabian geckos like Stenodactylus [32,55], which show high levels of divergence in body size and shape throughout many areas with three or more species living in sympatry. This morphological stasis in Ptyodactylus may be explained by morphological constraints imposed by the use of a similar structural habitat (open rocky surfaces such as cliffs, large boulders and the walls and ceilings of caves; [32]) by all its members. Like all the species in the genus, the two Ptyodactylus from the Hajar Mountains are morphologically very similar, up to the point that we are unable to detect any differences in body size and body shape despite an inferred divergence of more than 7 Ma (95% HPD = 4.5–11), representing a clear case of cryptic sister species (sibling species; see [3]). Despite the morphological stasis, the lack of shared haplotypes in the four nuclear genes suggests that there is no signal of gene flow between both species (Fig 2). Furthermore, the great genetic divergence observed in two mitochondrial gene fragments is equivalent to interspecific distances between the other species of the genus (Table 3). This is even more relevant if one takes into account that the two species are geographically very close, the nearest localities being just 23 km from each other (Fig 1A).

Considering the intensive sampling effort across Oman and the UAE between 2004 and 2016 and the large number of samples included in this study from different localities, we can confidently deduce an allopatric distribution pattern like the one shown in Fig 1A, with the new species restricted to the Ruus al Jibal, in the extreme northern Hajar Mountains and P. orlovi populations widely distributed along the rest of the mountain range. The Ruus al Jibal is often considered a part of the Hajar Mountain arch, but has its own distinctive geology, structure and geomorphology. This relatively small area rises to a maximum elevation of 2,087 m in Jebel al Harim in the north and is separated from the ophiolites of the Oman Mountains, to the south, by the NE-SW Dibba Zone [85] and from the sedimentary sequence of the UAE, to the west by the Musandam-Zagros hinge, sometimes called the “Oman Line”, both zones being zones of deep basement faulting [20]. Although the current geographic ranges of P. ruusaljibalicus sp. nov. and P. orlovi points towards an association of the isolation of their nearby locations in both sides of the Dibba Zone, it is not possible to present a firm hypothesis with the available data given the complex and dynamic geological history of the area [20,8690]. Regarding habitat occupation, the two species do not differ in their microniche but show low to moderate niche overlap and non-equivalent macroniches. Our data support Warren et al. (2008) [71] and show that similarity test significance can arise as result of asymmetric datasets (P. orlovi, n = 162 and P. ruusaljibalicus, n = 30). However, the similarity tests indicate that the two different macroniches can predict each other quite well, indicating some degree of niche conservatism.

It has been suggested that in the early stages of speciation, species tend to diversify into distinct (mostly allopatric) macroniches while maintaining a similar microniche (e.g. presenting extensive overlap in their body size and shape) [91]. Indeed, low levels of morphological change may be a common pattern between strictly allopatric species in which resource partitioning between them is not needed [92]. Because there are no significant differences in their body size and shape, we assume that stabilising selection on adaptive traits related to exploit a particular structural niche might be maintaining an external conserved morphology [17,93,94]. Moreover, it has been shown that evolution under extreme environmental conditions can limit morphological change, as in the case of cryptic species found in Arctic tundra, underwater karsts and deep-sea environments [3]. On the other hand, many of these cryptic species can differentiate each other by non-visual signals as a result of their morphological stasis [3]. Organisms that use non-visual signals for communication (e.g. sound, vibration, pheromones or electrical signals) are most likely to harbour cryptic species because shifts in signals conveyed in these modalities do not usually involve morphological change [95]. Since femoral or preanal pores for chemical communication are not present in Ptyodactylus geckos, future studies should be directed to test the role of other non-visual signals such as vocal sounds in speciation [33,96,97].

Supporting information

S1 Fig. ML tree of 11 Ptyodactylus species.

The phylogeny is based on the concatenated sequences of two mitochondrial (12S and cytb) and four nuclear (c-mos, MC1R, ACM4 and RAG2) gene fragments. Bootstrap values ≥70% of the ML analysis are shown next to the nodes.


S2 Fig. IBD analyses for Ptyodactylus orlovi and Ptyodactylus ruusaljibalicus sp. nov.

The asterisk (*) indicates the significance of the observed correlation.


S1 Table. Detailed information on the specimens used in the phylogenetic analyses with locality data and GenBank accession numbers.

Voucher codes of specimens available in collections refer to the following collections: IBE[X]: field series of S. Carranza housed at the Institute of Evolutionary Biology (CSIC-UPF); ONHM[X]: Oman Natural History Museum; NHMC[X]: Natural History Museum of Crete. Greece; NHMUK[X]: Natural History Museum of United Kingdom. The holotype (*) and paratypes are underlined.


S2 Table. List of primers used in the amplification and sequencing of gene fragments with the corresponding source and PCR conditions.

Primer orientation (OR); F = forward, R = reverse.


S3 Table. Sex, metric and meristic variables measured and Morphobank accession numbers for the pictures of all examined specimens of P. ruusaljibalicus sp. nov. (1) and P. orlovi (2).

The holotype (*) and paratypes are underlined. Museum acronyms as in S1 Table. SVL, Snout-vent length; AGL, Axilla-groin length; HL, Head length; HW, Head width; HH, Head height; END, Eye to nostril distance; IOD, Interorbital distance; OD, Orbital diameter; EED, Ear to eye distance; BL, Brachium length; AL, Antebrachium length; IVM, Digit IV of the manus; ThL, Thigh length; CL, Crus length; IVP, Digit IV of the pes; TubW, Number of rows of enlarged tubercles on the dorsum; TubA, Cloacal tubercles (distribution of cloacal tubercles on hemipenial bulges given in brackets); SL, Supralabial scales; IL, Infralabial scales; Fan4A, Terminal lamellae under the 4th finger; LF4, Subdigital scales on the 4th finger; Fan4P, Terminal lamellae under the 4th toe; LT4, Subdigital scales on the 4th toe.



We wish to thank Ali Alghafri, Sultan Khalifa, Hamed Al Furkani, Jiri Šmíd, Raquel Vasconcelos, Fèlix Amat, Elena Gómez-Díaz and Roberto Sindaco for assisting in sample collection in the field. Special thanks are due to Mohammed Al Shariani, Thuraya Al Sariri, Ali Al Kiyumi, Mohammed Abdullah Al Maharmi and the other members of the Nature Conservation Department of the Ministry of Environment and Climate, Sultanate of Oman for their help and support. We would also like to thank His Highness Sheikh Dr. Sultan bin Mohammed Al Qasimi, Supreme Council Member and Ruler of Sharjah, Ms. Hana Al Suwaidi (Chairperson of the Environment and Protected Areas Authority, Sharjah) and Mr. Paul Vercammen (Operations Manager, Breeding Centre for Endangered Arabian Wildlife) for their support. We also wish to thank Dr. K Whitehouse-Tedd for proof-reading this manuscript. Thanks also to Hessa Saif Al Shamsi for the Arabic translations.


  1. 1. Mora C, Tittensor DP, Adl S, Simpson AGB, Worm B. How many species are there on Earth and in the ocean? PLoS Biol. 2011; 9: e1001127. pmid:21886479
  2. 2. Costello MJ, May RM, Stork NE. Can we name Earth’s species before they go extinct? Science. 2013; 339: 413–6. pmid:23349283
  3. 3. Bickford D, Lohman DJ, Sodhi NS, Ng PKL, Meier R, Winker K, et al. Cryptic species as a window on diversity and conservation. Trends Ecol Evol. 2007; 22: 148–155. pmid:17129636
  4. 4. Adams M, Raadik TA, Burridge CP, Georges A. Global Biodiversity Assessment and Hyper-Cryptic Species Complexes: More Than One Species of Elephant in the Room? Syst Biol. 2014; 63: 518–533. pmid:24627185
  5. 5. Funk WC, Caminer M, Ron SR. High levels of cryptic species diversity uncovered in Amazonian frogs. Proc Biol Sci. 2012; 279: 1806–1814. pmid:22130600
  6. 6. Carranza S, Arnold EN. A review of the gecko genus Hemidactylus (Squamata: Gekkonidae) from Oman based on morphology, mitochodrial and nuclear data, with descriptions of eight new species. Zootaxa. 2012; 95: 1–95.
  7. 7. Carranza S, Simó-Riudalbas M, Jayasinghe S, Wilms T, Els J. Microendemicity in the northern Hajar Mountains of Oman and the United Arab Emirates with the description of two new species of geckos of the genus Asaccus (Squamata: Phyllodactylidae). PeerJ. 2016; 4: e2371. pmid:27602305
  8. 8. Trabucco A, Zomer RJ. Global aridity index (global-aridity) and global potential evapo-transpiration (global-PET) geospatial database. CGIAR Consortium for Spatial Information. 2009; Available from
  9. 9. Gaston KJ. Global patterns in biodiversity. Nature. 2000; 405: 220–227. pmid:10821282
  10. 10. Brito JC, Godinho R, Martínez-Freiría F, Pleguezuelos JM, Rebelo H, Santos X, et al. Unravelling biodiversity, evolution and threats to conservation in the Sahara-Sahel. Biol Rev. 2014; 89: 215–231. pmid:23848599
  11. 11. Powney GD, Grenyer R, Orme CDL, Owens IPF, Meiri S. Hot, dry and different: Australian lizard richness is unlike that of mammals, amphibians and birds. Glob Ecol Biogeogr. 2010; 19: 386–396.
  12. 12. Perera A, Harris DJ. Genetic variability within the Oudri’s fan-footed gecko Ptyodactylus oudrii in North Africa assessed using mitochondrial and nuclear DNA sequences. Mol Phylogenet Evol. 2010; 54: 634–639. pmid:19850142
  13. 13. Barata M, Carranza S, Harris DJ. Extreme genetic diversity in the lizard Atlantolacerta andreanskyi (Werner, 1929): A montane cryptic species complex. BMC Evol Biol. 2012; 12: 167. pmid:22946997
  14. 14. Barata M, Perera A, Martínez‐Freiría F, Harris DJ. Cryptic diversity within the Moroccan endemic day geckos Quedenfeldtia (Squamata: Gekkonidae): a multidisciplinary approach using genetic, morphological and ecological data. Biol J Linn Soc. 2012; 106: 828–850.
  15. 15. Barata M, Perera A, Harris DJ. Cryptic variation in the Moroccan high altitude lizard Atlantolacerta andreanskyi (Squamata: Lacertidae). African J Herpetol. 2015; 64: 1–17.
  16. 16. Busais SM, Joger U. Three new species and one new subspecies of Hemidactylus Oken, 1817 from Yemen (Squamata, Gekkonidae). Vertebr Zool. 2011; 61: 267–280.
  17. 17. Metallinou M, Červenka J, Crochet P-A, Kratochvíl L, Wilms T, Geniez P, et al. Species on the rocks: Systematics and biogeography of the rock-dwelling Ptyodactylus geckos (Squamata: Phyllodactylidae) in North Africa and Arabia. Mol Phylogenet Evol. 2015; 85: 208–220. pmid:25724867
  18. 18. Šmíd J, Moravec J, Kratochvíl L, Nasher AK, Mazuch T, Gvoždík V, et al. Multilocus phylogeny and taxonomic revision of the Hemidactylus robustus species group (Reptilia, Gekkonidae) with descriptions of three new species from Yemen and Ethiopia. Syst Biodivers. 2015; 1–23.
  19. 19. Mandaville J. The scientific results of the Oman flora and fauna survey 1975. Plants. J Oman Stud Spec Rep. 1977; 1: 229–267.
  20. 20. Edgell HS. Arabian deserts: nature, origin and evolution. Dordrecht: Springer; 2006.
  21. 21. Bosworth W, Huchon P, McClay K. The Red Sea and Gulf of Aden Basins. J African Earth Sci. 2005; 43: 334–378.
  22. 22. Glennie K. Oman’s Geological Heritage. 2nd Edition. London: Stacey International Publishers; 2006.
  23. 23. Arnold EN, Gallagher MD. Reptiles and amphibians from the mountains of northern Oman with special reference to the Jebel Akhdar region. J Oman Stud spec Rep. 1977; 1: 59–80.
  24. 24. Brinkmann K, Patzelt A, Dickhoefer U, Schlecht E, Buerkert A. Vegetation patterns and diversity along an altitudinal and a grazing gradient in the Jabal al Akhdar mountain range of northern Oman. J Arid Environ. 2009; 73: 1035–1045.
  25. 25. Ghazanfar SA. Vegetation structure and phytogeography of Jabal Shams, an arid mountain in Oman. J Biogeogr. J. 1991; 18: 299–309.
  26. 26. de Pous P, Machado L, Metallinou M, Červenka J, Kratochvíl L, Paschou N, et al. Taxonomy and biogeography of Bunopus spatalurus (Reptilia; Gekkonidae) from the Arabian Peninsula. J Zool Syst Evol Res. 2016; 54: 67–81.
  27. 27. Arnold EN. Lizards with northern affinities from the mountains of Oman. Zool Meded Leiden. 1972; 47: 111–128.
  28. 28. Arnold EN. A key and annotated checklist to the lizards and amphisbaenians of Arabia. Fauna Saudi Arab. 1986; 8: 385–435.
  29. 29. Arnold EN, Gardner AS. A review of the middle eastern leaf-toed geckoes (Gekkonidae: Asaccus) with descriptions of two new species from Oman. Fauna Saudi Arab. 1994; 14: 424–441.
  30. 30. Gardner AS. The amphibiand and reptiles of Oman and the UAE. Frankfurt am Main: Chimaira; 2013.
  31. 31. Tamar K, Scholz S, Crochet P- A, Geniez P, Meiri S, Schmitz A, et al. Evolution around the Red Sea: Systematics and biogeography of the agamid genus Pseudotrapelus (Squamata: Agamidae) from North Africa and Arabia. Mol Phylogenet Evol. 2016; 97: 55–68. pmid:26772670
  32. 32. Arnold EN. The scientific results of the Oman flora and fauna survey 1977 (Dhofar). The reptiles and amphibians of Dhofar, southern Arabia. J Oman Stud Spec Rep. 1980; 2: 273–332.
  33. 33. Werner YL, Sivan N. Systematics and zoogeography of Ptyodactylus (Reptilia: Sauria: Gekkonidae) in the Levant: 2, Taxonomy, with a review of ecology and zoogeography. Rev Esp Herp. 1994; 8: 105–122.
  34. 34. Werner YL, Frankenberg E, Adar O. Further observations on the distinctive vocal repertoire of Ptyodactylus hasselquistii cf. hasselquistii (Reptilia: Gekkoninae). Isr J Zool. 1978; 27: 176–188.
  35. 35. Anderson J. Zoology of Egypt. I, Reptilia and Batrachia. B. Quatrich: London; 1898.
  36. 36. Loveridge A. Revision of the African lizards of the family Gekkonidae. Bull Museum Comp Zoolology Harvard. 1947; 98: 1–469.
  37. 37. Heimes P. Beitrag zur Systematik der Faecherfinger (Sauria: Gekhonidae: Ptyodactylus). Salamandra. Deutsche Gesellschaft Fur Herpetologie und Terrarienkunde; 1987; 23: 212–235.
  38. 38. El Din SB. A Guide to the Reptiles and Amphibians of Egypt. Oxford University Press; 2006.
  39. 39. Katoh K, Toh H. Recent developments in the MAFFT multiple sequence alignment program. Brief Bioinform. 2008; 9: 286–298. pmid:18372315
  40. 40. Flot JF. seqphase: a web tool for interconverting phase input/output files and fasta sequence alignments. Mol Ecol Resour. 2010; 10: 162–166. pmid:21565002
  41. 41. Stephens M, Smith NJ, Donnelly P. A New Statistical Method for Haplotype Reconstruction from Population Data. Am J Hum Genet. 2001; 68: 978–989. pmid:11254454
  42. 42. Harrigan RJ, Mazza ME, Sorenson MD. Computation vs. cloning: evaluation of two methods for haplotype determination. Mol Ecol Resour. 2008; 8: 1239–1248. pmid:21586011
  43. 43. Kumar S, Stecher G, Tamura K. MEGA7: Molecular Evolutionary Genetics Analysis version 7.0 for bigger datasets. Mol Biol Evol. 2016; 33: 1870–1874. pmid:27004904
  44. 44. Gamble T, Bauer AM, Greenbaum E, Jackman TR. Evidence for Gondwanan vicariance in an ancient clade of gecko lizards. J Biogeogr. 2008; 35: 88–104.
  45. 45. Gamble T, Bauer AM, Colli GR, Greenbaum E, Jackman TR, Vitt LJ, et al. Coming to America: multiple origins of New World geckos. J Evol Biol. 2011; 24: 231–244. pmid:21126276
  46. 46. Gamble T, Greenbaum E, Jackman TR, Russell AP, Bauer AM. Repeated origin and loss of adhesive toepads in geckos. PLoS One. 2012; 7: e39429. pmid:22761794
  47. 47. Pyron RA, Burbrink FT, Wiens JJ. A phylogeny and revised classification of Squamata, including 4161 species of lizards and snakes. BMC Evol Biol. 2013; 13: 93. pmid:23627680
  48. 48. Garcia-Porta J, Morales HE, Gómez-Díaz E, Sindaco R, Carranza S. Patterns of diversification in islands: A comparative study across three gecko genera in the Socotra Archipelago. Mol Phylogenet Evol. 2016; 98: 288–299. pmid:26911521
  49. 49. Uetz P, Goll J, Hallerman J. The reptile database. 2016; Available from
  50. 50. Lanfear R, Calcott B, Ho SYW, Guindon S. PartitionFinder: combined selection of partitioning schemes and substitution models for phylogenetic analyses. Mol Biol Evol. 2012; 29: 1695–1701. pmid:22319168
  51. 51. Stamatakis A. RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 2006; 22: 2688–2690. pmid:16928733
  52. 52. Silvestro D, Michalak I. RAxML GUI: a graphical front-end for RAML. Org Divers Evol. 2010; 12: 335–337.
  53. 53. Felsenstein J. Confidence-limits on phylogenies—an approach using the bootstrap. Evolution. 1985; 39: 783. pmid:28561359
  54. 54. Drummond A, Rambaut A. BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007; 7: 214. pmid:17996036
  55. 55. Metallinou M, Arnold EN, Crochet P-A, Geniez P, Brito JC, Lymberakis P, et al. Conquering the Sahara and Arabian deserts: systematics and biogeography of Stenodactylus geckos (Reptilia: Gekkonidae). BMC Evol Biol. 2012; 12: 258. pmid:23273581
  56. 56. Sindaco R, Metallinou M, Pupin F, Fasola M, Carranza S. Forgotten in the ocean: systematics, biogeography and evolution of the Trachylepis skinks of the Socotra Archipelago. Zool Scr. 2012; 41: 346–362.
  57. 57. Gómez-Díaz E, Sindaco R, Pupin F, Fasola M, Carranza S. Origin and in situ diversification in Hemidactylus geckos of the Socotra Archipelago. Mol Ecol. 2012; 21: 4074–4092. pmid:22738330
  58. 58. Hawlitschek O, Glaw F. The complex colonization history of nocturnal geckos (Paroedura) in the Comoros Archipelago. Zool Scr. 2013; 42: 135–150.
  59. 59. Metallinou M, Carranza S. New species of Stenodactylus (Squamata: Gekkonidae) from the Sharqiyah Sands in northeastern Oman. Zootaxa. 2013; 3745: 449–468. pmid:25113361
  60. 60. Milá B, Surget-Groba Y, Heulin B, Gosá A, Fitze PS. Multilocus phylogeography of the common lizard Zootoca vivipara at the Ibero-Pyrenean suture zone reveals lowland barriers and high-elevation introgression. BMC Evol Biol. 2013; 13: 1.
  61. 61. Šmíd J, Carranza S, Kratochvíl L, Gvoždík V, Nasher AK, Moravec J. Out of Arabia: A Complex Biogeographic History of Multiple Vicariance and Dispersal Events in the Gecko Genus Hemidactylus (Reptilia: Gekkonidae). PLoS One. 2013; 8: e64018. pmid:23724016
  62. 62. Vasconcelos R, Carranza S. Systematics and biogeography of Hemidactylus homoeolepis Blanford, 1881 (Squamata: Gekkonidae), with the description of a new species from Arabia. Zootaxa. 2014; 3835: 501–527. pmid:25081467
  63. 63. Huelsenbeck JP, Rannala B. Frequentist Properties of Bayesian Posterior Probabilities of Phylogenetic Trees Under Simple and Complex Substitution Models. Syst Biol. 2004; 53: 904–913. pmid:15764559
  64. 64. Wilcox TP, Zwickl DJ, Heath TA, Hillis DM. Phylogenetic relationships of the dwarf boas and a comparison of Bayesian and bootstrap measures of phylogenetic support. Mol Phylogenet Evol. 2002; 25: 361–371. pmid:12414316
  65. 65. Jensen JL, Bohonak AJ, Kelley ST. Isolation by distance, web service. BMC Genet. 2005; 6: 1.
  66. 66. Clement M, Posada D, Crandall KA. TCS: a computer program to estimate gene genealogies. Mol Ecol. 2000; 9: 1657. pmid:11050560
  67. 67. Werner YL, Sivan N. Systematics and zoogeography of Ptyodactylus (Reptilia: Sauria: Gekkonidae) in the Levant: 1. Biometry of three species in Israel. Rev Esp Herp. 1993; 7: 47–64.
  68. 68. Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A. Very high resolution interpolated climate surfaces for global land areas. Int J Climatol. 2005; 25: 1965–1978.
  69. 69. Broennimann O, Fitzpatrick MC, Pearman PB, Petitpierre B, Pellissier L, Yoccoz NG, et al. Measuring ecological niche overlap from occurrence and spatial environmental data. Glob Ecol Biogeogr. 2012; 21: 481–497.
  70. 70. Hirzel AH, Hausser J, Chessel D, Perrin N. Ecological‐niche factor analysis: how to compute habitat‐suitability maps without absence data? Ecology. 2002; 83: 2027–2036.
  71. 71. Warren DL, Glor RE, Turelli M. Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution. 2008; 62: 2868–2883. pmid:18752605
  72. 72. Schoener TW. Nonsynchronous spatial overlap of lizards in patchy habitats. Ecology. 1970; 51: 408–418.
  73. 73. Arnold EN. The scientific results of the Oman flora and fauna survey 1975. Little-known geckoes (Reptilia: Gekkonidae) from Arabia with descriptions of two new species from the Sultanate of Oman. J Oman Stud Spec Rep. 1977; 1: 81–110.
  74. 74. Arnold EN. Historical changes in the ecology and behaviour of semaphore geckos (Pristurus, Gekkonidae) and their relatives. J Zool. 1993; 229: 353–384.
  75. 75. de-Queiroz K. The general lineage concept of species, species criteria, and the process of speciation: A conceptual unification and terminological recommendations. In: Howard DJ, Berlocher SH, editors. Endless forms: Species and speciation. New York: Oxford University Press; 1998. pp. 57–75.
  76. 76. de-Queiroz K. Species Concepts and Species Delimitation. Syst Biol. 2007; 56: 879–886. pmid:18027281
  77. 77. Rödder D, Engler JO. Quantitative metrics of overlaps in Grinnellian niches: advances and possible drawbacks. Glob Ecol Biogeogr. 2011; 20: 915–927.
  78. 78. Harrison D. The Oman Flora and Fauna Survey 1975. J Oman Stud. 1976; 1: 181–186.
  79. 79. Harrison D. The Scientific Results of the Oman Flora and Fauna Survey 1975. J Oman Stud Spec Rep. 1977; 1: 10–11.
  80. 80. Brito D. Overcoming the Linnean shortfall: data deficiency and biological survey priorities. Basic Appl Ecol. 2010; 11: 709–713.
  81. 81. Disi A. Amphibians and reptiles of the Hashemite Kingdom of Jordan: an atlas and field guide. Frankfurt am Main: Chimaira; 2001.
  82. 82. Sindaco R, Jeremcenko VK. The reptiles of the Western Palearctic. 1. Annotated checklist and distributional atlas of the turtles, crocodiles, amphisbaenians and lizards of Europe, North Africa, Middle East and Central Asia. Monografie della Societas Herpetologica Italica—I. Latina, Italy: Societas Herpetologica Italica; 2008.
  83. 83. Garcia-Porta J, Simó-Riudalbas M, Robinson M, Carranza S. Diversification in arid mountains: biogeography and cryptic diversity of Pristurus rupestris rupestris in Arabia. J. Biogeogr. in press.
  84. 84. Smid J, Shobrak M, Wilms T, Joger U, Carranza S. Endemic diversification in the mountains: genetic, morphological, and geographical differentiation of the Hemidactylus geckos in southwestern Arabia. Org. Div. Evol. 2017; 17: 267
  85. 85. Searle MP. Thrust tectonics of the Dibba zone and the structural evolution of the Arabian continental margin along the Musandam Mountains (Oman and United Arab Emirates). J Geol Soc London. 1988; 145: 43–53.
  86. 86. Ricateau R, Riche PH. Geology of the Musandam Peninsula (Sultanate of Oman) and its surroundings. J Pet Geol. 1980; 3: 139–152.
  87. 87. Robertson AHF, Blome CD, Cooper DWJ, Kemp AES, Searle P. Evolution of the Arabian continental margin in the Dibba zone, northern Oman Mountains. Geol Soc London, Spec Publ. 1990; 49: 251–284.
  88. 88. Glennie KW. Evolution of the Emirates’ land surface: an introduction. United Arab Emirates, a new Perspective. London: Trident Press Ltd; 2001.
  89. 89. Alsharhan AS, Rizk ZA, Nairn AEM, Bakhit DW, Alhajari SA. Hydrogeology of an arid region: the Arabian Gulf and adjoining areas. Elsevier; 2001.
  90. 90. Searle MP, Cherry AG, Ali MY, Cooper DJW. Tectonics of the Musandam Peninsula and northern Oman Mountains: From ophiolite obduction to continental collision. GeoArabia. 2014; 19: 135–174.
  91. 91. Schluter D. The Ecology of Adaptive Radiation. Oxford: Oxford University Press; 2000.
  92. 92. Schönrogge K, Barr B, Wardlaw JC, Napper E, Gardner MG, Breen J, et al. When rare species become endangered: cryptic speciation in myrmecophilous hoverflies. Biol J Linn Soc. 2002; 75: 291–300.
  93. 93. Harmon LJ, Melville J, Larson A, Losos JB. The Role of Geography and Ecological Opportunity in the Diversification of Day Geckos (Phelsuma). Syst Biol. 2008; 57: 562–573. pmid:18686194
  94. 94. Glor RE, Kolbe JJ, Powell R, Larson A, Losos JB. Phylogenetic analysis of ecological and morphological diversification in Hispaniolan trunk‐ground anoles (Anolis cybotes group). Evolution. 2003; 57: 2383–2397. pmid:14628926
  95. 95. Boughman JW. How sensory drive can promote speciation. Trends Ecol Evol. 2002; 17: 571–577.
  96. 96. Werner YL. Uber die israelischen Geckos der Gattung Ptyodactylus und ihre Biologie. Salamandra. 1965; 1: 15–25.
  97. 97. Frankenberg E. Vocalization of males of three geographical forms of Ptyodactylus from Israel (Reptilia: Sauria: Gekkoninae). J Herpetol. 1974; 59–70.