Genetic Structure Research Articles

Snow leopard phylogeography and population structure supports two global populations with single refugial origin

AbstractSnow leopards (Panthera uncia) inhabit the mountainous regions of High Asia, which experienced serial glacial contraction and expansion during climatic cycles of the Pleistocene. The corresponding impacts of glacial vicariance may have alternately promoted or constrained genetic differentiation to shape the distribution of genetic lineages and population structure. We studied snow leopard phylogeography across High Asia by examining range-wide historical and contemporary genetic structure with mitochondrial DNA and microsatellite markers. We genotyped 182 individuals from across snow leopard range and sequenced portions of the mitogenome in a spatially stratified subset of 80 individuals to infer historical biogeographic and contemporary patterns of genetic diversity. We observed a lack of phylogeographic structure, and analyses suggested a single refugial origin for all sampled populations. Molecular data provided tentative evidence of a hypothesized glacial refugia in the Tian Shan-Pamir-Hindu Kush-Karakoram mountain ranges, and detected mixed signatures of population expansion. Concordant assessments of microsatellite data indicated two global genetic populations, though we detected geographic differences between historical and contemporary population structure and connectivity inferred from mitochondrial and microsatellite data, respectively. Using the largest sample size and geographic coverage to date, we demonstrate novel information on the phylogeographic history of snow leopards, and corroborate existing interpretations of snow leopard connectivity and genetic structure. We recommend that conservation efforts incorporate genetic data to define and protect meaningful conservation units and their underlying genetic diversity, and to maintain the snow leopard’s adaptive potential and continued resilience to environmental changes.

Genetic structure of cattle of the siberian branch by microsatellite loci

Molecular-genetic methods are essential tools for the utilization and conservation of animal genetic resources. These methods facilitate more efficient management and control of breeding programs within livestock production systems. For studying the genetic diversity of a population, the use of STR markers is relevant due to the high variability of repeats. This study presents a genetic characterization of a Holstein and Black Pied cattle population (n = 10233) in Western Siberia using 12 microsatellite loci (BM1818, BM1824, BM2113, ETH10, ETH225, ETH3, INRA023, SPS115, TGLA126, TGLA122, TGLA227, TGLA53). A total of 145 alleles were identified across all loci, with frequencies ranging from 0.00005 to 0.68961. The highest level of genetic diversity was observed at the TGLA122 locus (25 alleles) with an average number of effective alleles (Ne) of 4.5. The least polymorphic locus was BM1824 (7 alleles) with an average Ne of 3.27. The average observed (Ho) and expected (He) heterozygosity across all loci was 0.6. The highest variability was observed at the TGLA53 locus, with a Wright’s fixation index (Fis) of 0.161, indicating a heterozygote deficiency. A similar deficiency was observed at the BM1818 locus. All other loci exhibited a positive Fis, with the highest value observed at the ETH3 locus (-0.074), indicating an excess of heterozygotes. The average Fis across all loci was -0.02, suggesting a sufficient level of heterozygosity within the studied population. These findings provide valuable information for population studies and practical breeding programs aiming to manage genetic diversity and improve selection efficiency in this cattle population.

Identification and genetic characterization of five novel bat coronaviruses from Yunnan, China

BackgroundCoronaviruses (CoVs) represent a serious threat to human health and have become a major transmissible, endemic, and causative pathogen in humans; they represent a major health concern, given their ability to cause infectious diseases. Bats are natural hosts for diverse viruses. Many transmission events of CoVs and identification of multiple novel CoVs in bats has increased attention towards their capacity to serve as hosts for zoonotic viruses.ResultsIn this study, 61 bats from Yunnan Province were analyzed, identifying seven CoVs, including three α- and two β-CoVs with full-genome sequences. Among the five identified alpha-CoVs, four belong to the Decacovirus subgenus and one to the Minunacovirus subgenus. Two beta-CoVs were also identified, both belonging to the Sarbecovirus subgenus.The genetic structures revealed similarities to known strains such as HKU10 and SARS-CoV-2, along with novel findings such as the Minunacovirus subgenus CoV YJ3c/f and unique ORF patterns. Our results demonstrated that strain JCC9 has a unique recombination pattern and shows a higher binding affinity to civet and pangolin ACE2 receptors, then the HpJC8xc strain transmits and recombines between hosts (bats), indicating a potential risk of crossing the interspecies barrier and infecting other animals.ConclusionsThe CoVs detected in the bats studied in this research exhibit high diversity. Genomic analysis revealed that CoVs in bats undergo frequent recombination events. Furthermore, recombination patterns and evolutionary analyses suggest that alpha-CoVs are more prone to cross-species transmission across different bat families/genera, whereas beta-CoVs demonstrate host specificity and tend to co-evolve with their bat hosts.Our finding suggest that bats, as hosts of CoVs, be constantly monitored to prevent outbreaks of new infections caused by viruses passing across interspecies barriers, and consequently, viral diseases in humans or livestock.

Genetic structure and dynamic population diversity of Phytophthora infestans during 2010–2021 in Yunnan, China

Genetic structure and dynamic population diversity of Phytophthora infestans during 2010–2021 in Yunnan, China

Biochar amendment affects the microbial genetic profile of the soil, its community structure and phospholipid fatty acid contents

Biochar (BC) amendment has been proposed as a promising strategy for mitigating greenhouse gas (GHG) emissions, specifically carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). Conducting a meta-analysis to evaluate the impact of biochar on microbial genetic profile, community structure, and phospholipid fatty acid (PLFA) contents can aid in identifying key microbial groups involved in GHG production and consumption, and assessing the overall effectiveness of biochar in reducing GHG emissions. The present meta-analysis revealed that the addition of biochar resulted in a 22 % and 41 % reduction in pmoA and mcrA genes of methanogenic microorganisms, respectively. The mcrA/pmoA ratio significantly increased by 81 %. Gene abundances exhibited a positive response to biochar amendment, with increases observed in nifH, nirK, nirS, nosZ, and nosZ (nirS + nirK) genes by 13 %, 32 %, 37 %, 42 %, and 79 %, respectively. Moreover, biochar amendment influenced the microbial community structure accordingly. The concentration of PLFAs increased in response to BC treatment in the following order: A-bacteria (+49 %) < Fungi (+30 %) < Gram-pb (+21 %) < G-bacteria (+17 %) < Gram-nb (+11 %). These findings indicate that biochar amendment shapes the microbial community structure, further emphasizing its significance in enhancing soil fertility.

Genetic Diversity and Population Structure of Endangered Orchid Cypripedium flavum in Fragmented Habitat Using Fluorescent AFLP Markers

Genetic diversity is crucial for determining the evolutionary potential of a species and is essential for developing optimal conservation strategies. The impact of habitat fragmentation on the genetic diversity of food-deceptive orchids seems to be unpredictable because of their specialized seed and pollen dispersal mechanisms. The habitat of deceptive Cypripedium flavum was severely fragmented during the past half century. This study investigated the genetic diversity and structure of seven fragmented Cypripedium flavum populations in Shangrila County using AFLP markers. A total of 376 alleles were identified, with a range of 70 to 81 alleles per locus. The species exhibited considerable genetic diversity, as evidenced by an average Nei’s gene diversity (H) of 0.339 and a Shannon’s information index (I) of 0.505, with all loci being polymorphic. Based on Molecular Variance (AMOVA), 8.75% of the genetic differentiation was found among populations, while the remaining 91.25% of genetic variation occurred within populations. Population structure analysis revealed that the C. flavum germplasm can be categorized into five distinct groups, among which there was significant gene flow. Despite habitat fragmentation, C. flavum still retained a high level of genetic diversity, and the substantial gene flow (5.0826) is a key factor in maintaining the genetic diversity. These findings offer valuable insights for the conservation and potential use of C. flavum genetic resources.

Genetic structure of interspecific hybridization between the long corolla tube species, Isodon longitubus, and its short corolla tube congener, I. inflexus

Genetic structure of interspecific hybridization between the long corolla tube species, Isodon longitubus, and its short corolla tube congener, I. inflexus

Genetická charakterizace tisu červeného (Taxus baccata L.) v širší oblasti Podyjí/Thayatal a na Svitavsku s vazbou na ochranářský management

The aim of the work is to determine the genetic diversity, genetic differentiation and genetic structure of subpopulations of the specially protected common yew in the area of South Moravian Podyjí (Czech Republic), Thayatal (Austria) and in the Svitavy region (Czech Republic) using DNA analyses (nSSR-nuclear Simple Sequence Repeats). The subjects of the analyses were yews of 1) natural occurrences in the territory of the Podyjí National Park (NP), 2) cultural origin in the Podyjí NP, 3) natural occurrences in the Thayatal NP (Austria), 4) natural occurrences outside the Podyjí NP, and 5) cultural origin in the Podyjí region outside the NP. For the comparison and better interpretation of results there also were analysed geographically more distant subpopulations, 6) natural occurrences in the Hřebečský ridge (NW Moravia), 7) cultural yew occurrences in the Svitavy region (NE Bohemia &amp; NW Moravia), 8) natural occurrences in the Jílovské yews (N Bohemia), and 9) natural occurrences in the Moravian Karst (S Moravia). We observed higher level of genetic diversity (Ho = 0.54; He = 0.77), the FST with ENA correction ranged from 0.007 to 0.123. According to a STRUCTURE analysis, high genetic similarity was observed between samples from the Podyjí NP and Hřebečský ridge. The impact of the analysis results on the conservation management of tested populations was outlined.

Phylogeography of Y-chromosome haplogroup I-P37.2 in Serbian population groups originating from distinct parts of the Balkan Peninsula

Genetic structure of the contemporary Serbian population was shaped by a long history of turbulent historical and demographical events. The most important migrations of Serbs towards present day Serbia, in the recent history, occurred between the 15th to the 18th century from the regions of Old Herzegovina and Kosovo and Metohija. Previous haplogroup analysis revealed wide spectrum of main haplogroups, among which haplogroup I-P37.2 was the most frequent one in Serbian population groups originating from the Balkan Peninsula. Within this study 464 Serbian males samples from three geographical regions in the Balkan Peninsula inhabited by Serbs: present-day Serbia, regions of Old Herzegovina and Kosovo and Metohija, previously classified as haplogroup I-P37.2, were genotyped using the 22 Y-single nucleotide polymorphisms (Y-SNPs) in order to determine deeper phylogenetic and phylogeographic analysis of haplogroup I-P37.2. Based on SNP typing all samples in the Old Herzegovina and present-day Serbia dataset and 122 out of 128 samples from Kosovo and Metohija were assigned to haplogroup I-L621. Further SNP typing revealed very similar haplogroup distribution in all datasets, with the predominant haplogroup being I-PH908, followed by haplogroup I-Z17855. Analysis within haplogroup I-PH908 distinguished haplogroup I-FT14506 as the most frequent in the Kosovo and Metohija dataset, while haplogroup I-FT16449 was the most frequent in the Old Herzegovina dataset. In the present-day Serbia dataset, occurrence of haplogroups I-FT14506 and I-FT16449 was almost equal, comprising 40.2 % and 34.4 %, respectively. Low level of differentiation, within haplogroup I-PH908, was detected between all datasets, with the lowest one detected between present-day Serbia and Old Herzegovina datasets and highest one between Kosovo and Metohija and Old Herzegovina datasets. Furthermore, median-joining network analysis and shared haplotypes statistics revealed closer genetic relationship between Old Herzegovina and present-day Serbia haplotypes. Results obtained within this study support the thesis that migrations from historical region of Old Herzegovina and geographical region of Kosovo and Metohija, had great contribution on the present-day Serbian population genetic structure. Furthermore, here presented results, gave insight into geographic distribution of detected haplogroups I-Z17855, I-Y4460, I-PH908, I-Y5596, I-Y4882, I-FT14506, I-FT16449 and I-A5913 and analyzed SNPs, enabling further improvement of the geographic resolution of paternal ancestry inference.

Environmental suitability throughout the late quaternary explains population genetic diversity

Genetic variation among populations is reflected in biogeographic patterns for many species, but general rules of spatial genetic variation have not been established. In this paper, we establish a theoretical framework based on projecting environmental Grinellian niches back through time to relate the present geographic distribution of population genetic structure to a given species' historical evolutionary context. Thanks to advances in next‐generation sequencing technologies, as well as more accurate climate models and the amassing of information stored in biological collections, it is possible to implement this theoretical framework directly. We develop a case study of the tassel‐eared squirrel Sciurus aberti to jointly analyze spatial, environmental, and genetic data to predict the historical endemic area of this species. Our results reveal that in cases of genetic isolation by geographic distance, the prevalence of environmental suitability over time corresponds to the genetic fixation index (Fst) of populations with respect to a source population. Populations closer to the historical endemic area show higher genetic diversity and a lower Fst value. This empirical example relates back to the theoretical framework, allowing two further advances: 1) a layer of biogeographic explanation for the results obtained from population genomic methods; and 2) predictive maps of this genetic structure to support biodiversity conservation efforts. Overall, this work advances a perspective that integrates population genetics with historical patterns of species distribution. The limitations posed in the theoretical framework should be considered before implementing the suitability prevalence area (SPA) in a general way over different taxa. Otherwise, the predictability of the genetic diversity of populations as a product of environmental stability over time may not be adequate.

Population connectivity and size reductions in the Anthropocene: the consequence of landscapes and historical bottlenecks in white forsythia fragmented habitats

BackgroundWhite forsythia (Abeliophyllum distichum) is an endangered Korean Peninsula endemic that has been subjected to recent population genomics studies using SNPs via RAD sequencing. Here, we primarily employed the often underutilized haplotype information from RAD loci to further describe the species’ previously uninvestigated haplotype-based genomic variation and structure, and genetic-geographic characteristics and gene flow patterns among its five earlier identified genetic groups. We also inferred the time of past events that may have impacted the effective population size of these groups, as well as the species’ potential future distribution amidst the warming climate and anthropogenic threats.ResultsOur findings emphasized the recognition of the species’ regional patterns of genetic structure, and the role of topography and its associated gene flow patterns as some of the possible factors that may have influenced the species’ present-day fragmented population distribution. The inferred bottleneck events during the Anthropocene, some of which aligned with the time of historical catastrophic events on the Peninsula (e.g., the Korean War), were revealed to have contributed to the generally low effective population size of its five lineages, particularly those with marginal distributional range. Future distribution under both optimistic and pessimistic climatic scenarios suggests unlikely suitable habitats for these populations to expand from their current range limits, at least in the next 80 years.ConclusionsThe small effective population size and landscape-driven limited gene flow among white forsythia populations will remain a big challenge for the conservation management of the species’ already fragmented population distribution. To help mitigate these impacts, the merging of various research approaches and the use of genomic data to their full potential is recommended to provide the optimized knowledge-based tools for the conservation of this endangered species, and other similar plants under pressure.

Search for signals of positive selection of circadian rhythm genes PER1, PER2, PER3 in different human populations.

The diversity of geographically distributed human populations shows considerable variation in external and internal traits of individuals. Such differences are largely attributed to genetic adaptation to various environmental influences, which include changes in climatic conditions, variations in sleep and wakefulness, dietary variations, and others. Whole-genome data from individuals of different populations make it possible to determine the specific genetic sites responsible for adaptations and to further understand the genetic structure underlying human adaptive characteristics. In this article, we searched for signals of single nucleotide polymorphisms (SNPs) under selection pressure in people of different populations. To identify selection signals in different population groups, the PER1, PER2 and PER3 genes that are involved in the coordination of thermogenic functions and regulation of circadian rhythms, which is directly reflected in the adaptive abilities of the organism, were investigated. Data were analyzed using publicly available data from the 1000 Genomes Project for 23 populations. The Extended Haplotype Homozygosity Score statistical method was chosen to search for traces of selection. The comparative analysis performed identified points subject to selection pressure. The SNPs were annotated through the GWAS catalog and manually by analyzing Internet resources. This study suggests that living conditions, climate, and other external factors directly influence the genetic structure of populations and vary across races and geographic locations. In addition, many of the selection variants in the PER1, PER2, PER3 genes appear to regulate biological processes that are associated with major modern diseases, including obesity, cancer, metabolic syndrome, bipolar personality disorder, depression, rheumatoid arthritis, diabetes mellitus, lupus erythematosus, stroke and Alzheimer's disease, making them extremely interesting targets for further research aimed at identifying the genetic causes of human disease.

Analysis of genetic evolutionary differences among four Tibetan pig populations in China

Tibetan pigs are a locally bred domestic pig breed originating from the Tibetan Plateau in China. They can be categorized into four distinct groups based on their geographical locations: Sichuan Tibetan pigs, Tibetan pigs from Tibet, Yunnan Tibetan pigs, and Gansu Tibetan pigs. This study aimed to explore population diversity, genetic structure and selection signals among Tibetan pigs in four Chinese national nature reserves. The results show that there is different observed heterozygosity among Tibetan pig populations (0.1957–0.1978). Ratio of runs of homozygosity (Froh) calculation of four Tibetan pig populations by runs of homozygosity (ROH) revealed the presence of inbreeding within the population (0.0336–0.0378). Analysis of the genetic structure demonstrated distinct population stratification among the four Tibetan pig populations, with each showing relatively independent evolutionary directions. Furthermore, Five methods (FST, Piratio, ROD, Tajima's D, XP-CLR) were used to artificially select evolutionary trajectories. The results mainly involved processes such as DNA repair, immune regulation, muscle fat deposition and adaptation to hypoxia. In conclusion, this study enhances our understanding of the genetic characteristics of Tibetan pig populations and provides a theoretical reference for the conservation of resources across different populations of Tibetan pigs.

Genetic diversity and population structure of threatened Calamus species in India: implications for In-situ and Ex-situ conservation

Genetic diversity and population structure of threatened Calamus species in India: implications for In-situ and Ex-situ conservation

Genetic diversity and structure of Tunisian and Indian date palm (Phoenix dactylifera and sylvestris) cultivars and genotypes revealed by AFLP markers

The date palm breeding programs need to discover valid genetic fingerprints to characterize cultivars and assess their genetic diversity. This study assessed the genetic diversity among thirty-nine date palm cultivars from Tunisia (Phoenix dactylifera) and India (Phoenix sylvestris) by using six AFLP (Amplified Fragment Length Polymorphism) markers. 360 loci were amplified, with 127 loci polymorphic (34.35 %). The Jaccard's similarity coefficient ranged from 0.161 to 0.931, with the mean genetic distances of 0.568. AFLP's average marker index value was 7.28, with a resolving power of 10.91. The analysis of population structure showed two main clusters with a clear separation between Tunisian and Indian cultivars.Furthermore, the heatmap analysis allowed the identification of 10 bands specific to the Indian accessions, which were not detected in Tunisian genotypes. These loci could be linked to genes involved in adapting the species in Indian lands, which allowed the study of the genetic diversity of date palm resources of different origins, confirming the existence of at least two origins of domestication. Additionally, identifying AFLP loci specific to P. dactylifera and P. sylvestris will significantly contribute to breeding programs by exploiting species-specific polymorphisms.

Molecular and genetic mechanisms of sex determination in poplar

The study of molecular and genetic mechanisms of sex determination in poplar is of interest not only in the fundamental aspect, but also in the applied aspect. In landscaping of large settlements, it is advisable to use male individuals of Populus genus due to their hypoallergenicity and increased resistance to environmental pollution, stress conditions and pathogens. However, sex determination in poplars is complicated by the complex genetic structure of the sex-determining region of the genome (SDR). In this review, the emergence, evolution, structure and function of the SDR in the genus Populus are discussed. Current insights into the structure and function of the key regulator of sex selection in poplars, the orthologous ARR16/ARR17 gene, and the possible role of other genes differentially expressed between male and female plants, including microRNAs, in this process are discussed in detail. The great diversity of species and the high complexity of SDR organization justify the need for further study of the molecular mechanisms of sex determination in poplars.

Comparative karyological features of several populations of Populus euphratica Oliv., grown under different environmental conditions in Iran

Abstract Understanding genetic structure and chromosomal characteristics is essential for developing effective breeding programmes and improving plant species. This research compared karyotypic features of 10 plant populations of Populus euphratica from various regions of Iran. Fresh roots grown from cuttings of the populations were used to get metaphase cells. Then several chromosomal parameters were recorded and analysed using a nested statistical model. All the studied populations were diploid, with 2n = 38 chromosomes, consisting of medium and sub-medium chromosome types. Significant differences (P ⩽ 0.01) were observed between the plant populations in chromosomal dimensions and arm ratios, suggesting chromosomal rearrangements. Chromosome lengths in the studied populations ranged from 0.69 to 3.38 μm. Intra-chromosomal index (A1) showed clear asymmetrical differences between the plant populations. Furthermore, using Stebbins's standards, the studied populations classified as 1A and 1B classes, demonstrated more asymmetry than those categorized as 1B and 2B, respectively. Cytological differences between the plant populations, collected from different parts of the country, showed that chromosome structural rearrangements are responsible for the speciation and adaption of the species against the mentioned variable ecological conditions and play a key role in response to diverse climatic and geographical conditions.

Unifying approaches from statistical genetics and phylogenetics for mapping phenotypes in structured populations.

In both statistical genetics and phylogenetics, a major goal is to identify correlations between genetic loci or other aspects of the phenotype or environment and a focal trait. In these 2 fields, there are sophisticated but disparate statistical traditions aimed at these tasks. The disconnect between their respective approaches is becoming untenable as questions in medicine, conservation biology, and evolutionary biology increasingly rely on integrating data from within and among species, and once-clear conceptual divisions are becoming increasingly blurred. To help bridge this divide, we lay out a general model describing the covariance between the genetic contributions to the quantitative phenotypes of different individuals. Taking this approach shows that standard models in both statistical genetics (e.g., genome-wide association studies; GWAS) and phylogenetic comparative biology (e.g., phylogenetic regression) can be interpreted as special cases of this more general quantitative-genetic model. The fact that these models share the same core architecture means that we can build a unified understanding of the strengths and limitations of different methods for controlling for genetic structure when testing for associations. We develop intuition for why and when spurious correlations may occur analytically and conduct population-genetic and phylogenetic simulations of quantitative traits. The structural similarity of problems in statistical genetics and phylogenetics enables us to take methodological advances from one field and apply them in the other. We demonstrate by showing how a standard GWAS technique-including both the genetic relatedness matrix (GRM) as well as its leading eigenvectors, corresponding to the principal components of the genotype matrix, in a regression model-can mitigate spurious correlations in phylogenetic analyses. As a case study, we re-examine an analysis testing for coevolution of expression levels between genes across a fungal phylogeny and show that including eigenvectors of the covariance matrix as covariates decreases the false positive rate while simultaneously increasing the true positive rate. More generally, this work provides a foundation for more integrative approaches for understanding the genetic architecture of phenotypes and how evolutionary processes shape it.

Genetic Heterogeneity Across Dimensions of Alcohol Use Behaviors.

Increasingly large samples in genome-wide association studies (GWASs) for alcohol use behaviors (AUBs) have led to an influx of implicated genes, yet the clinical and functional understanding of these associations remains low, in part because most GWASs do not account for the complex and varied manifestations of AUBs. This study applied a multidimensional framework to investigate the latent genetic structure underlying heterogeneous dimensions of AUBs. Multimodal assessments (self-report, interview, electronic health records) were obtained from approximately 400,000 UK Biobank participants. GWAS was conducted for 18 distinct AUBs, including consumption, drinking patterns, alcohol problems, and clinical sequelae. Latent genetic factors were identified and carried forward to GWAS using genomic structural equation modeling, followed by functional annotation, genetic correlation, and enrichment analyses to interpret the genetic associations. Four latent factors were identified: Problems, Consumption, BeerPref (declining alcohol consumption with a preference for drinking beer), and AtypicalPref (drinking fortified wine and spirits). The latent factors were moderately correlated (rg values, 0.12-0.57) and had distinct patterns of associations, with BeerPref in particular implicating many novel genomic regions. Patterns of regional and cell type-specific gene expression in the brain also differed between the latent factors. Deep phenotyping is an important next step to improve understanding of the genetic etiology of AUBs, in addition to increasing sample size. Further effort is required to uncover the genetic heterogeneity underlying AUBs using methods that account for their complex, multidimensional nature.

Implications of newly developed SNPs for conservation programmes for the threatened Nubian ibex (Capra nubiana) in Oman

AbstractConservation of elusive species affected by habitat degradation, population fragmentation and poaching is challenging. The remaining wild populations of a desert-adapted ungulate, Nubian ibex (Capra nubiana), within Oman are small and fragmented. The appropriateness of captive insurance populations for reinforcing existing, or establishing new, wild populations remains uncertain for Oman due to ambiguity regarding their genetic provenance. For effective management of this threatened species, it is essential to assess the genetic relationships between the wild and captive populations, and to investigate hybridisation with domestic goats (Capra hircus). We identified 5,775 high-quality SNPs using double digest restriction-site associated DNA (ddRAD), to assess genetic structure, gene flow and divergence between Oman’s wild populations of Nubian ibex and in captivity, which are likely of North African provenance. We detected hybridisation with goats in captivity and recommend that genetic assessments of captive individuals are routinely used to evaluate their suitability for conservation programs. Building on previous mitochondrial evidence, substantial nuclear divergence (FST = 0.540) was found between wild Oman and captive populations, providing further evidence that Nubian ibex may be composed of multiple species and urgently needs a taxonomic review. Additionally, an appropriate insurance population should be established for Oman’s threatened wild population. The data provided here will be invaluable for developing marker systems to assess wild populations using low-quality DNA from non-invasive sampling. Consequently, it will support further research into Nubian ibex throughout their range and highlights the need to integrate genetic information for effective conservation management of Nubian ibex.