Journal of Threatened
Taxa | www.threatenedtaxa.org | 26 June 2026 | 18(6): 29010–29019
ISSN 0974-7907 (Online) | ISSN 0974-7893 (Print)
https://doi.org/10.11609/jott.10177.18.6.29010-29019
#10177 | Received 24 September 2025 | Final received 04 April 2026|
Finally accepted 18 May 2026
Genetic polymorphism of Dhofar Toad Firouzophrynus
dhufarensis (Parker, 1931) (Amphibia: Bufonidae) across central Saudi Arabia
Rawan Al-Shehri
1, Mohammed F. Albeshr 2 & Ehab
Eid 3
1,2 Department of Zoology, College of
Sciences, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.
3 IUCN SSC Steering Committee
Member, Al-Yadodah, Amman 11610, Jordan.
1 rawan96@outlook.com, 2 albeshr@ksu.edu.sa,
3 eha_jo@yahoo.com (corresponding author)
Editor: S.R. Ganesh, Kalinga Foundation, Agumbe, India.
Date of publication: 26
June 2026 (online & print)
Citation: Al-Shehri,
R., M.F. Albeshr & E. Eid
(2026).
Genetic polymorphism of Dhofar Toad Firouzophrynus
dhufarensis (Parker, 1931) (Amphibia: Bufonidae) across central Saudi Arabia. Journal of Threatened Taxa 18(6): 29010–29019. https://doi.org/10.11609/jott.10177.18.6.29010-29019
Copyright: © Al-Shehri et al. 2026. Creative Commons Attribution 4.0
International License. JoTT allows unrestricted use,
reproduction, and distribution of this article in any medium by providing
adequate credit to the author(s) and the source of publication.
Funding: No funding agencies supported this work.
Competing interests: The authors declare no competing interests.
Author details: Rawan Alshehri holds a master’s degree in Zoology and currently serves as an environmental expert for Jeddah Municipality projects. Her professional expertise encompasses environmental impact assessments, waste management, and sustainability practices. Her research interests center on biodiversity conservation, wildlife management, environmental monitoring, and sustainable waste management. Additionally, she has completed specialized training in IUCN Red List assessments, Key Biodiversity Areas (KBAs), wildlife research, animal biosafety, and laboratory animal research.
Mohammed F. Albeshr, an associate professor in the Department of Zoology, College of Science, King Saud University. His research interests span multiple disciplines within ecology, with particular emphasis on biodiversity, wildlife conservation, and the management and conservation of natural populations.
Ehab Eid is a Ph.D. candidate specializing in Red List of Ecosystems assessments and a certified assessor for both international and regional IUCN Red Lists of Species. He serves as a Steering Committee Member of the IUCN Species Survival Commission (SSC), Vice Chair for West Asia and North Africa within the SSC, and an Editorial Board Member of IUCN. His expertise and research interests encompass biodiversity conservation, species diversity, wildlife trade, hunting, CITES implementation, protected area management, and climate change adaptation.
Author contribution: All authors contributed equally to this work. Rawan Al-Shehri and Mohammed F. Albeshr are co-first authors.
Acknowledgments: The authors gratefully acknowledge King Saud University, Riyadh, Saudi Arabia, for its support through the Researchers Supporting Project (RSP2025R436).
Abstract: This study investigated the
genetic diversity of the Dhofar Toad Firouzophrynus
dhufarensis in central Saudi Arabia, focusing on
three populations: Al-Kharj, Al-Hariq, and Al-Aflaj. Using inter-simple sequence repeat (ISSR) markers,
the analysis revealed notable variation in genetic polymorphism among these
regions based on 30 individuals (10 per population) selected for genetic
analysis from a total of 60 sampled specimens. Al-Kharj demonstrated
comparatively higher levels of genetic diversity than the other populations, as
reflected by polymorphism rates and diversity indices. In contrast, Al-Hariq and Al-Aflaj exhibited
reduced polymorphism, suggesting that isolation may have been caused by habitat
fragmentation and limited gene flow. Dendrogram analysis based on Nei’s genetic distances indicated a closer relationship
between Al-Hariq and Al-Aflaj,
while Al-Kharj was more distinct. These findings underscore the conservation
significance of Al-Kharj in maintaining amphibian genetic diversity in arid
landscapes. Meanwhile, the genetic vulnerability of Al-Hariq
and Al-Aflaj emphasizes the need of targeted habitat
restoration and improved landscape connectivity. This research also
demonstrates the utility of ISSR markers for preliminary genetic assessments in
species lacking extensive genomic resources, reinforcing the need for broader
geographic and genomic sampling. Future work should incorporate high-resolution
markers and expand to populations in regions such as Oman to support
transboundary conservation planning.
Keywords: Amphibian conservation, Arid
landscapes, Gene flow, Genetic diversity, Habitat fragmentation, ISSR markers,
Landscape connectivity, Phylogeography, Population
differentiation, Population structure.
INTRODUCTION
The Dhofar Toad Firouzophrynus dhufarensis
(Parker, 1931) is distributed across much of the Arabian Peninsula. It is
currently classified as ‘Least Concern’ with a stable population (UAE National
Red List Workshop 2022). Its range includes the western mountains near Mecca
City and the central regions of Saudi Arabia, such as Ha’il
and Riyadh Provinces. It also occurs in peripheral southern Arabia, including
Yemen, Oman, and the United Arab Emirates (UAE), typically inhabiting wadis and
areas with seasonal water sources (Cunningham & Feulner
2001; Cunningham & Wronski 2010; Soorae et al. 2010; Gardner 2013; Soorae
et al. 2013; Alshammari & Ibrahim 2018). The
species has also been reported by the IUCN as introduced in parts of the Riyadh
region, although its native range boundaries within central Saudi Arabia remain
uncertain (UAE National Red List Workshop 2022).
Within Saudi Arabia, F. dhufarensis inhabits a range of environments, from the
southwestern provinces of Jazan, Asir,
and Mecca to the more arid interior regions. It thrives in mountainous areas,
valley streams, irrigated farms, and temporary wetlands (Balletto et al. 1985; Soorae et al. 2013; Al-Johany et
al. 2014; Al-Qahtani & Al-Johany 2018).
Observations from the Ibex Reserve and central provinces, including Al-Kharj,
Al-Hariq, and Al-Aflaj,
suggest its adaptability to natural and human-altered habitats (Alrefaei et al. 2022). Reports also confirm its presence in
Wadi Abather, Al Madinah Province, and across sites
with elevations ranging from 55–700 meters (Mashlawi
& Masood 2024). While adapted to arid conditions, F. dhufarensis
may be outcompeted by the Arabian Toad in more mesic environments (Soorae et al. 2013).
Despite its wide distribution,
research on the species’ genetic structure remains limited. Hafez et al. (2017)
conducted a phylogeographic study across the Afro-Arabian regions using
mitochondrial DNA (D-loop and 12S rRNA), which indicated low polymorphism and
suggested either past population bottlenecks or balancing selection. Alrefaei et al. (2022) further explored the species’ 16S
rRNA in Riyadh populations, revealing high genetic similarity (99.35%) with
Omani populations. These studies provide preliminary insights but highlight the
need for further genetic investigation.
Accordingly, this study was
designed as an exploratory assessment of genetic variation in F. dhufarensis across three populations in central Saudi
Arabia. The specific objectives were to (i) quantify
levels of genetic polymorphism using ISSR markers, (ii) evaluate whether
measurable genetic differentiation exists among geographically proximate
populations in an arid landscape, and (iii) provide baseline genetic
information to inform future, more comprehensive studies. We hypothesized that
populations would exhibit detectable genetic differentiation consistent with
localized isolation in arid environments, while recognizing that testing
underlying drivers of such patterns requires complementary genetic, ecological,
and spatial data.
This study is intended as a
preliminary assessment of population-level genetic variation in F. dhufarensis within central Saudi Arabia. Given the
limited sample size, restricted geographic coverage, and the dominant nature of
ISSR markers, the results should be interpreted as exploratory rather than
definitive. Nevertheless, in the context of the Arabian Peninsula, where
large-scale aridification, habitat fragmentation, and hydrological isolation
have shaped amphibian distributions, such baseline genetic data remain
valuable. By documenting spatial patterns of genetic polymorphism across arid
landscapes, this study provides an initial framework for hypothesis generation
and identifies priorities for future, higher-resolution genetic and
phylogeographic investigations.
Study Area
This study was conducted in
central Saudi Arabia, specifically in the regions of Al-Kharj, Al-Aflaj, and Al-Hariq, which are
located south and south-east of Riyadh (Image 1); this description reflects
their geographic position rather than a formal ecological or biogeographic
division. These sites span approximately 22.15°–24.16° N and 46.50°–47.33° E.
The region is characterized by an arid climate with extreme seasonal
temperature variation, ranging from highs of 48°C in summer to lows of 3°C in
winter. Annual rainfall is typically below 100 mm, while evaporation rates may
exceed 2,000 mm. Elevations range from 320–650 m, contributing to local
microclimatic and vegetative differences (Sayed & Masrahi
2023). The geology of the study area is predominantly composed of quaternary
deposits, featuring significant karstic features, including wadis, sinkholes,
and limestone formations. Soils are mainly sandy loam, supporting xerophytic
vegetation. The Tuwaiq Mountains to the west create
topographic heterogeneity, influencing hydrology and biodiversity. Traditional
irrigation systems in Al-Aflaj have historically
enabled agriculture in this otherwise arid landscape (Almalki
et al. 2022).
MATERIALS AND
METHODS
Sampling
Field sampling was carried out in
January 2021. A total of 60 specimens of the Dhofar Toad were collected. Twenty
specimens were initially obtained from each site. For genetic analysis, 30
individuals were randomly selected (10 per site) based on the quality of their
samples. Specimens were preserved in 96% ethanol immediately upon collection to
maintain DNA integrity, following the procedures of Zamani et al. (2011).
DNA Extraction
Genomic DNA was extracted from
thigh muscle and skin tissues using a protocol adapted from Kumar et al.
(2012). Approximately 5 mg of tissue was homogenized and incubated with 500 µL DNAzol reagent (Molecular Research Center, USA). Following
centrifugation at 10,000 g for 2 minutes, the supernatant was transferred, and
DNA was precipitated using 100% ethanol. After additional centrifugation and
washing with 75% ethanol, the DNA pellet was air-dried and rehydrated in 50 µL
nuclease-free water. DNA purity and concentration were assessed using a NanoDrop spectrophotometer, and integrity was confirmed by
electrophoresis on a 1.5% SYBR green-stained agarose gel. All samples were
diluted to a working concentration of 100 ng/µL.
ISSR-PCR Amplification
ISSR amplification was used to
assess genetic diversity. Although ISSR markers are dominant and limited in
resolving co-dominant variation, they are effective for detecting genome-wide
polymorphism and are widely applied in preliminary population genetic studies,
particularly in non-model and conservation-target species with limited genomic
resources (Zietkiewicz et al. 1994; Bornet & Branchard 2001;
Moradi et al. 2014). Because ISSRs do not allow direct estimation of allele
frequencies or fine-scale gene flow, the approach employed here is intended to
provide an initial assessment of genetic variability rather than a
comprehensive reconstruction of population connectivity or evolutionary
history. Nine primers (UBC 813, 814, 816, 817, 819, 821, 822, 825, and 828)
were selected based on reproducibility and polymorphic potential (Moradi et al.
2014).
Each PCR reaction consisted of 1
µL of genomic DNA, 0.8 µL of primer, 10 µL of PCR master mix (Solarbio), and 8.2 µL of nuclease-free water (Promega) in a
total volume of 20 µL. Amplification was performed using a ProFlex
PCR system with an initial denaturation at 94°C for 3 minutes, followed by 35
cycles of 94°C for 30 seconds, annealing at 46–48°C for 30 seconds, and
extension at 72°C for 1 minute. A hold at 4°C followed a final extension at
72°C for 2 minutes. PCR products were separated on 1.5% agarose gels in 0.5×
TBE buffer. Gels were stained with SYBR Green, run at 100 V for 1 hour, and
visualized under UV light. Molecular weight markers (100–5000 bp) were used to estimate band sizes, and gel images were
captured using a BioDocAnalyze system.
To ensure reproducibility and
minimize sensitivity to laboratory conditions, all ISSR-PCR reactions were
conducted using standardized reagent concentrations, identical thermal cycling
parameters, and the same PCR platform throughout the study. Amplifications were
repeated independently for a subset of samples to confirm banding consistency,
and only clear, reproducible bands observed across replicate reactions were
scored. All gels were run under identical electrophoretic conditions and scored
conservatively to reduce the inclusion of artefactual fragments. These
standardization procedures were applied consistently across all primers and
populations to ensure methodological reliability.
Data Analysis
Banding patterns were scored as
binary data (1 = presence, 0 = absence). Fragment sizes were calculated using
ONE-Dscan software (Scanalytics
Inc., USA). Genetic diversity metrics, including percent polymorphic bands
(PPB), Nei’s genetic diversity (Nei
1987), and the Shannon diversity index (Shannon 1948) were calculated using
POPGENE version 1.31 (Yeh & Yang 1999). Nei’s unbiased genetic distances among populations were
also computed. A dendrogram was constructed based on Nei’s
genetic distances using the unweighted pair group method with arithmetic mean
(UPGMA) in MEGA version 11 (Tamura et al. 2021) to visualize genetic
relationships among the three populations of F. dhufarensis.
Genetic relationships among populations were inferred by constructing a
dendrogram based on Nei’s unbiased genetic distances
using the unweighted pair group method with arithmetic mean (UPGMA).
RESULTS
The analysis of ISSR profiles
revealed measurable genetic diversity among F. dhufarensis populations from Al-Aflaj, Al-Kharj, and Al-Hariq.
Banding patterns generated by nine ISSR primers were scored as binary data
(presence = 1, absence = 0) and summarized quantitatively as percent
polymorphic bands (PPB), polymorphic loci per primer, and polymorphism
information content (PIC) (Table 1 & 2). Primer performance varied among
populations, with UBC 813, UBC 819, and UBC 828 consistently yielding the
highest numbers of polymorphic loci and higher PIC values, indicating greater
discriminatory power (Images 2 & 3).
Nine primers exhibited
polymorphism levels that varied across populations. Al-Aflaj
exhibited a polymorphism rate of 29% (30 polymorphic loci), Al-Kharj had the
highest rate at 41% (24 loci), and Al-Hariq showed a
lower polymorphism rate of 25.49% (31 loci). Primer-specific polymorphism
ranged from 12% for UBC 817 to 50% for UBC 813 in Al-Aflaj;
15.3% (UBC 822) to 100% (UBC 813 and UBC 814) in Al-Kharj; and 18% (UBC 817 and
UBC 819) to 44.44% (UBC 813) in Al-Hariq.
Al-Kharj exhibited the highest
allelic richness and genetic variability across the nine ISSR primers,
suggesting that this population may retain a broader representation of overall
genetic diversity. In contrast, Al-Hariq and Al-Aflaj exhibited lower levels of polymorphism, potentially
indicating reduced gene flow or historical isolation. Primer-specific
amplification patterns also varied, with UBC 813 consistently generating the
highest polymorphic rates in all populations. The dendrogram based on Nei’s genetic distances confirmed a closer genetic relationship
between Al-Aflaj and Al-Hariq
(distance = 0.2). At the same time, Al-Kharj formed a separate cluster,
consistent with its elevated intra-population diversity.
The average polymorphic
information content (PIC) values also supported these findings, with Al-Aflaj showing the highest average PIC (0.772), followed by
Al-Kharj (0.736), and Al-Hariq (0.716). Among all
primers, UBC 813 yielded the highest PIC values across populations,
establishing its value for future genetic assessments of D. dhufarensis (Figure 1).
The dendrogram revealed closer
genetic proximity between Al-Aflaj and Al-Hariq (distance = 0.2), while Al-Kharj appeared more
genetically distinct, suggesting population-specific divergence potentially
driven by ecological or geographic isolation (Figures 2 & 3).
DISCUSSION
The ISSR-based genetic patterns
observed among Firouzophrynus dhufarensis populations from Al-Kharj, Al-Hariq, and Al-Aflaj should be
interpreted within the constraints of a preliminary study. While measurable
differences in polymorphism were detected, the limited number of loci,
dominance of ISSR markers, and restricted sampling design preclude strong
inferences regarding historical demography or evolutionary processes.
Nonetheless, the observed population-level differentiation is consistent with
expectations for amphibian populations inhabiting arid and semi-arid regions of
the Arabian Peninsula, where large-scale aridification, habitat fragmentation,
and discontinuous surface water availability can promote isolation and reduced
gene flow. These results therefore provide an initial indication of spatial
genetic structuring that warrants further investigation using expanded sampling
and higher-resolution genomic tools.
These patterns are consistent
with ecological observations indicating that F. dhufarensis
is physiologically tolerant of dry environments and can occupy a wide range of
habitats, including mountains, wadis, and agricultural areas (Cunningham & Feulner 2001; Al-Johany et al.
2014). Similar trends have been reported for other Bufonidae
species in arid landscapes, where habitat quality and landscape connectivity
significantly influence genetic structure and long-term population viability (Zeisset & Beebee 2008; Alshammari & Ibrahim 2018; Alrefaei
et al. 2022).
Primer performance further
supports the genetic differences observed. UBC 813 and UBC 814 consistently
yielded high polymorphism across populations, suggesting these primers may
target variable genomic regions. In contrast, UBC 817 and UBC 821 produced
lower polymorphism, possibly due to amplification of conserved sequences or
reduced primer efficiency. These findings underscore the importance of primer
selection and support the use of multi-primer ISSR strategies for assessing
overall genetic diversity in species lacking extensive genomic resources, as
ISSR markers are reproducible, highly polymorphic, and suitable for genome
fingerprinting in non-model organisms (Zietkiewicz et
al. 1994; Bornet & Branchard
2001).
The lower levels of genetic
polymorphism observed in the Al-Hariq and Al-Aflaj populations should be interpreted cautiously. Reduced
genetic diversity in amphibian populations is often associated with limited
dispersal, isolation, or small effective population sizes in fragmented or arid
landscapes (Frankham 2005; Storfer
et al. 2010; Haddad et al. 2015). The present study does not directly test
these processes, and no spatial, environmental, or landscape genetic analyses
were conducted. Therefore, causal links between genetic variation and habitat
fragmentation or environmental heterogeneity cannot be confirmed and should be
regarded as hypotheses requiring further investigation.
Recent landscape-scale studies
from arid regions of the Arabian Peninsula and adjacent deserts further
demonstrate that population connectivity in dryland systems is often shaped by
complex interactions among historical aridification, topography, hydrology, and
species-specific dispersal capacity. For example, Pola et al. (2024) showed
that even broadly distributed desert taxa can exhibit pronounced genetic
structuring across environmentally heterogeneous arid landscapes, with
connectivity often constrained by discontinuous habitats rather than simple
geographic distance. Although such studies typically rely on higher-resolution
genomic or spatially explicit approaches, their findings provide an important
regional framework for interpreting preliminary genetic patterns observed in
arid-zone amphibians such as F. dhufarensis.
Within this context, the present results should be viewed as an initial
indication of localized population differentiation rather than evidence of
range-wide isolation or connectivity.
From a conservation perspective,
preserving genetic diversity across the species’ range is critical, as genetic
variation is a key determinant of population resilience in the face of
environmental change and stochastic events (Frankham
2005). Al-Kharj may serve as a priority site due to its elevated genetic
variability. At the same time, Al-Hariq and Al-Aflaj may benefit from habitat restoration and
connectivity-enhancing measures such as ecological corridors. Establishing such
linkages could help mitigate the effects of genetic drift, reduce inbreeding,
and improve population resilience, especially in fragmented or isolated
habitats where landscape-level barriers hinder gene flow (Botstein et al. 1980;
Storfer et al. 2010; Haddad et al. 2015; Mashlawi & Masood 2024).
The geographically narrow
sampling design represents an important limitation of this study. While the three
sampled populations provide insight into local-scale genetic variation within
central Saudi Arabia, they do not capture the full extent of genetic diversity
across the species’ core range in southern Arabia, particularly Oman and Yemen,
where F. dhufarensis is considered native. As
a result, the present data cannot be used to infer species-wide connectivity,
historical dispersal routes, or range-wide isolation patterns. Future studies
incorporating populations from Oman, Yemen, and southwestern Saudi Arabia are
essential to place the central Saudi populations within a broader
phylogeographic framework and to robustly evaluate patterns of connectivity,
isolation, and potential post-aridification divergence across the Arabian
Peninsula.
A key limitation of this study is
the exclusive reliance on ISSR markers, which, despite their reproducibility
and utility for preliminary assessments, provide lower resolution than
co-dominant or sequence-based markers. As dominant markers, ISSRs do not allow
direct estimation of heterozygosity, contemporary gene flow, or historical
connectivity among populations. Future research should therefore integrate more
informative molecular tools, such as microsatellites, mitochondrial DNA
sequences, and genome-wide SNP approaches, alongside broader geographic
sampling. Such integrative analyses would substantially improve inference
regarding population origins, dispersal dynamics, and the evolutionary
processes shaping genetic structure across the Arabian Peninsula.
This study provides the first
ISSR-based assessment of genetic diversity in central Saudi Arabian populations
of the Dhofar Toad. The results reveal clear population-level differences in
genetic polymorphism, with Al-Kharj exhibiting comparatively higher genetic
diversity, while Al-Hariq and Al-Aflaj
show reduced variability, likely reflecting isolation and limited gene flow.
These findings highlight the conservation importance of maintaining habitat
connectivity and protecting genetically diverse populations in arid landscapes.
Although ISSR markers offer valuable baseline insights, future studies
employing higher-resolution genomic markers and broader geographic sampling are
needed to clarify population origins, connectivity, and conservation units
across the species’ Arabian range. While the present study is intentionally
limited in scope, integrating higher-resolution genetic markers together with
morphological, ecological, and spatial data will be essential in future
research to rigorously evaluate population connectivity, adaptive variation,
and conservation units across the species’ Arabian range.
Table 1. Genetic diversity parameters of Firouzophrynus
dhufarensis populations
based on ISSR markers.
|
Population |
Total loci |
Polymorphic loci |
PPB (%) |
Nei’s genetic diversity
(H) |
Shannon index (I) |
|
Al-Kharj |
58 |
24 |
41.0 |
0.236 |
0.352 |
|
Al-Aflaj |
104 |
30 |
29.0 |
0.191 |
0.281 |
|
Al-Hariq |
122 |
31 |
25.49 |
0.178 |
0.263 |
Table 2. Primer-wise ISSR polymorphism and polymorphic information content (PIC) across populations.
|
Primer |
Polymorphism range (%) |
PIC (Al-Kharj) |
PIC (Al-Hariq) |
PIC (Al-Aflaj) |
|
UBC 813 |
44.44–100 |
0.812 |
0.798 |
0.821 |
|
UBC 814 |
38–100 |
0.781 |
0.754 |
0.768 |
|
UBC 816 |
22–35 |
0.701 |
0.689 |
0.712 |
|
UBC 817 |
12–18 |
0.665 |
0.648 |
0.671 |
|
UBC 819 |
18–42 |
0.743 |
0.721 |
0.758 |
|
UBC 821 |
20–30 |
0.692 |
0.676 |
0.701 |
|
UBC 822 |
15–28 |
0.684 |
0.667 |
0.695 |
|
UBC 825 |
25–40 |
0.728 |
0.709 |
0.736 |
|
UBC 828 |
32–45 |
0.756 |
0.732 |
0.771 |
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REFERENCES
Al-Johany, A.M., S.S. Al-Qarni &
K.A. Hasayen (2014). Distribution and habitats of
amphibians in the central region of Saudi Arabia. Herpetological
Conservation and Biology 9(3): 601–608.
Almalki, K.A., M.S. Al Mosallam, T.Z. Aldaajani & A.A. Al-Namazi
(2022). Landforms
characterization of Saudi Arabia: towards a geomorphological map. International
Journal of Applied Earth Observation and Geoinformation 112: 102945. https://doi.org/10.1016/j.jag.2022.102945
Al-Qahtani,
A.R. & A.M. Al-Johany (2018). Amphibians distribution and
habitats in the southwestern region of Saudi Arabia. Saudi Journal of
Biological Sciences 25(6): 1380–1386. https://doi.org/10.1016/j.sjbs.2018.05.004
Alrefaei, A.F., M.F. Albeshr
& G.A. Pizzio (2022). 16S rRNA gene identification and
phylogenetic analysis of Dhofar toad (Bufo dhufarensis) from Riyadh province, Saudi Arabia. Journal
of King Saud University – Science 34(4): 101972. https://doi.org/10.1016/j.jksus.2022.101972
Alshammari, A.M. & A.A. Ibrahim (2018). Amphibians of the Ha’il region, Saudi Arabia, with special reference to their
habitat and distribution. Advances in Bioresearch 9(1): 165–172.
Balletto,
E.M., M.A. Cherchi & J. Gasperetti
(1985). Amphibians
of the Arabian Peninsula. Fauna of Saudi Arabia 7: 318–392.
Bornet, B. & M. Branchard
(2001). Nonanchored Inter Simple Sequence Repeat (ISSR) markers:
reproducible and specific tools for genome fingerprinting. Plant Molecular
Biology Reporter 19: 209–215. https://doi.org/10.1007/BF02772892
Botstein, D.,
R.L. White, M.H. Skolnick & R.W. Davies (1980). Construction of a genetic
linkage map in man using restriction fragment length polymorphism. American
Journal of Human Genetics 32(3): 314–331.
Cunningham,
P. & T. Wronski (2010). Geographical distributions: Bufo dhufarensis. African
Herp News 52: 20–21.
Cunningham,
P.L. & G.R. Feulner (2001). Notes on the distribution and
ecology of the Dhofar toad, Bufo dhufarensis Parker, 1931, in the Musandam region (UAE
and Sultanate of Oman). Tribulus 11(2): 9–13.
Frankham, R. (2005). Genetics and extinction. Biological
Conservation 126(2): 131–140. https://doi.org/10.1016/j.biocon.2005.05.002
Gardner, A.S.
(2013). The
Amphibians and Reptiles of Oman and the UAE. Edition Chimaira,
Frankfurt, 480 pp.
Haddad, N.M.,
L.A. Brudvig, J. Clobert,
K.F. Davies, A. Gonzalez, R.D. Holt, T.E. Lovejoy, J.O. Sexton, M.P. Austin,
C.D. Collins, W.M. Cook, E.I. Damschen, R.M. Ewers, B.L.
Foster, C.N. Jenkins, A.J. King, W.F. Laurance, D.J.
Levey, C.R. Margules, A. Brett, A.O. Melbourne, J.L.
Nicholls, D-X.S. Orrock & J.R. Townshend (2015). Habitat fragmentation and its
lasting impact on Earth’s ecosystems. Science Advances 1(2):
e1500052. https://doi.org/10.1126/sciadv.1500052
Hafez, H.S.,
R.E. Abo-Eleneen, A.M. El Bakry
& A.R. Alqahtani (2017). Phylogeographical identification
of some toads from Afro-Arabian origin from Egypt and Saudi Arabia, using
fragments of mtDNA. Egyptian Journal of Zoology
68(68): 275–300. https://doi.org/10.12816/0043195
Kumar, N.P.,
R. Srinivasan & P. Jambulingam (2012). DNA barcoding for identification
of sand flies (Diptera: Psychodidae)
in India. Molecular Ecology Resources 12(3): 414–420. https://doi.org/10.1111/j.1755-0998.2012.03117.x
Mashlawi, A.M. & M.F. Masood (2024). Ecological studies on the
diversity of amphibian species in Jazan region,
Kingdom of Saudi Arabia. Egyptian Academic Journal of Biological Sciences (B
Zoology) 16(2): 51–65.
Moradi, M.H.,
J. Rostamzadeh, A. Rashidi, K. Vahabi
& H. Farahmand (2014). Analysis of genetic diversity in
Iranian mohair goat and its color types using inter-simple sequence repeat
(ISSR) markers. Iranian Journal of Applied Animal Science 4(2): 261–269.
Pola, L.,
P-A. Crochet, P. Geniez, M. Shobrak,
S. Busais, D. Jablonski, R. Masroor,
T. Abduraupov, S. Carranza & J. Šmíd (2024). Some like it hot: Past and present phylogeography of a desert dwelling gecko across the
Arabian Peninsula. Journal of Biogeography 51(7): 1244–1258. https://doi.org/10.1111/jbi.14823
Sayed, O.H.
& Y.S. Masrahi (2023). Climatology and phytogeography
of Saudi Arabia: a review. Arid Land Research and Management 37(3):
311–368.
Shannon, C.E.
(1948). A
mathematical theory of communication. Bell System Technical Journal
27(3): 379–423; 27(4): 623–656. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
Soorae, P., J. Els, A.S. Gardner &
H. El Alqamy (2013). Distribution and ecology of the
Arabian and Dhofar toads (Duttaphrynus arabicus and D. dhufarensis)
in the United Arab Emirates and adjacent areas of northern Oman. Zoology in
the Middle East 59(3): 229–234.
Soorae, P.S., M. Al Quarqaz
& A.S. Gardner (2010). An overview and checklist of the native and alien herpetofauna of the
United Arab Emirates. Herpetological Conservation and Biology 5(3):
529–536.
Storfer, A., M.A. Murphy, S.F. Spear, R.
Holderegger & L.P. Waits (2010). Landscape genetics: where are we
now? Molecular Ecology 19(17): 3496–3514. https://doi.org/10.1111/j.1365-294X.2010.04691.x
Tamura, K.,
G. Stecher & S. Kumar (2021). MEGA11: Molecular Evolutionary
Genetics Analysis version 11. Molecular Biology and Evolution 38(7):
3022–3027. https://doi.org/10.1093/molbev/msab120
UAE National
Red List Workshop (2022). Duttaphrynus
dhufarensis. The IUCN Red List of Threatened
Species 2022: e.T54627A218307166. https://doi.org/10.2305/IUCN.UK.2022-2.RLTS.T54627A218307166.en
Yeh, F.C. & R.C. Yang (1999). POPGENE (version 1.3.1).
Microsoft Windows-based freeware for population genetic analysis. Accessed on
25.iv.2025.
Zamani, P.,
M. Akhondi, M.R. Mohammadabadi,
A.A. Saki, M.H. Ershadi, M. Banabazi
& A.R. Abdolmohammadi (2011). Genetic variation of Mehraban sheep using two inter-simple sequence repeat
(ISSR) markers. African Journal of Biotechnology 10(10): 1812–1817.
Zeisset, I. & T.J.C. Beebee (2008). Amphibian phylogeography: a
model for understanding historical species distributions. Heredity 101:
109–119. https://doi.org/10.1038/hdy.2008.30
Zietkiewicz, E., A. Rafalski
& D. Labuda (1994). Genome fingerprinting by simple
sequence repeat (SSR)-anchored polymerase chain reaction amplification. Genomics
20(2): 176–183. https://doi.org/10.1006/geno.1994.1151